{"record_id": "0fd05802660a66ed", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1398, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1398", "title": "selenium is not in the requirements", "created_at": "2023-04-14T20:57:17Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 10, "reactions": 3, "labels": "", "body_len": 850, "A_failure_type": "A3_compatibility", "A_confidence": 0.849, "A_evidence": "e 2, in from selenium import webdriver ModuleNotFoundError: No module named 'selenium' ``` ### Expected behavior ๐Ÿค” selenium should be in the re", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "300612602359f1d2", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1400, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1400", "title": "NameError: name 'Config' is not defined", "created_at": "2023-04-14T21:04:15Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 6, "labels": "", "body_len": 827, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "NameError: name 'Config' is not defined", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f034ff473c832161", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1429, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1429", "title": "NameError: name 'Config' is not defined while running python -m autogpt", "created_at": "2023-04-14T22:28:51Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 804, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "NameError: name 'Config' is not defined while running python -m autogpt", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bc7095599c0b19a0", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1465, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1465", "title": "File Not Found Error: speech.mp3", "created_at": "2023-04-15T02:39:55Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "setup", "body_len": 2333, "A_failure_type": "A5_context_memory", "A_confidence": 0.721, "A_evidence": "did not occur while i was using elevenlabs (at least before i hit my token limit in continuous mode), but did occur in both Brian and gTTS modes. 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"B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6976c6ed4d198900", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1556, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1556", "title": "error when given goals", "created_at": "2023-04-15T12:03:39Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 2, "labels": "", "body_len": 1781, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d2fc98f03a3d72eb", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1565, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1565", "title": "Not working", "created_at": "2023-04-15T12:52:50Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 23, "reactions": 2, "labels": "", "body_len": 901, "A_failure_type": "A3_compatibility", "A_confidence": 0.602, "A_evidence": "e 2, in from selenium import webdriver ModuleNotFoundError: No module named 'selenium'` ### Current behavior ๐Ÿ˜ฏ It should work, but it doesn't", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": 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"C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3c4f9ae779935909", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1577, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1577", "title": "ModuleNotFoundError: No module named 'autogpt'", "created_at": "2023-04-15T14:00:12Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 48, "reactions": 7, "labels": "", "body_len": 565, "A_failure_type": "A3_compatibility", "A_confidence": 0.702, "A_evidence": "ModuleNotFoundError: No module named 'autogpt'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "37f6d9d46b2d6c30", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1583, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1583", "title": "The version of Python needs to be higher than 3.8", "created_at": "2023-04-15T14:13:53Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 1288, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "e_agent(self, task: str, prompt: str, model: str) -> tuple[int, str]: TypeError: 'type' object is not subscriptable ### Expected behavior ๐Ÿค” work #", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9168fa26d0c0f4f3", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1614, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1614", "title": "New Issue since re-org Pull: in fix_and_parse_json return json.loads(maybe_fixed_json)", "created_at": "2023-04-15T15:42:32Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "Stale", "body_len": 3389, "A_failure_type": "A6_data_structure", "A_confidence": 0.6, "A_evidence": "bj, end = self.scan_once(s, idx) ^^^^^^^^^^^^^^^^^^^^^^ json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 13 column 9", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B5_model_limitation", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A6_data_structure:1hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ca6e12140453897c", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1616, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1616", "title": "Pinecone 504 Gateway Timeout error", "created_at": "2023-04-15T15:50:08Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3579, "A_failure_type": "A8_performance", "A_confidence": 0.82, "A_evidence": "Pinecone 504 Gateway Timeout error", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a1c2c1648d1ba887", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1638, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1638", "title": "Getting error when trying to work with AutoGpt on Windows 11 with Python 3.10", "created_at": "2023-04-15T16:56:59Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "API access", "body_len": 1830, "A_failure_type": "A1_functionality", "A_confidence": 0.757, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": 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Template .env with necessary API keys and ELEVENLABS voice IDs 3. 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"A_failure_type": "A5_context_memory", "A_confidence": 0.771, "A_evidence": "rent behavior ๐Ÿ˜ฏ Continue (y/n): y Using memory of type: RedisMemory Token limit: 4500 Memory Stats: {'index_name': 'auto-gpt', 'index_options': [],", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.683, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c40241caf7a31a77", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 1726, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/1726", "title": "pip breakes speach then locks up program", "created_at": "2023-04-15T22:12:49Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, 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includeSubDomains', 'x-ratelimit-limit-requests': '60', 'x-ratelimit-remaining-requests': '59', 'x-rat", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "81e9e43bef80aa42", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2563, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2563", "title": "write to file bug", "created_at": "2023-04-19T17:39:19Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.634, "A_evidence": "sertionError: Expected 'Hello World', got Error: 'WindowsPath' object has no attribute 'is_relative_to' E assert \"Error: 'Wind..._relative_to'\" == 'Hello Wo", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "40e6f3f3b0a3ddfe", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2570, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2570", "title": "Error while installing pip requirements", "created_at": "2023-04-19T18:25:15Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 6460, "A_failure_type": "A8_performance", "A_confidence": 0.686, "A_evidence": "fer) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TimeoutError: The read operation timed out During handling of the above exception, another exception occurred:", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "17b033fac2c836d7", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2581, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2581", "title": "Redis connection won't work even though it's running and configured correctly", "created_at": "2023-04-19T19:46:53Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 10, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.736, "A_evidence": "gi/__init__.py\", line 42, in from . import _gi ImportError: cannot import name '_gi' from partially initialized module 'gi' (most likely due to a ci", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A7_configuration:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fd56a68a0301a030", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2583, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2583", "title": "ssl.SSLCertVerificationError when running for first time", "created_at": "2023-04-19T19:59:38Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "needs info", "body_len": 4250, "A_failure_type": "A7_configuration", "A_confidence": 0.727, "A_evidence": "-4? GPT-3.5 ### Steps to reproduce ๐Ÿ•น Installed all dependencies as required, edited .env as required, ran ```python -m autogpt```, followed prompts and receiv", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A5_context_memory:1hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ff2f802ffdc5fb05", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2608, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2608", "title": "The SSL/TLS handshake failed. Procedure", "created_at": "2023-04-20T02:01:21Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 8405, "A_failure_type": "A3_compatibility", "A_confidence": 0.694, "A_evidence": "handshake. The possible causes are certificate verification failure, incompatible protocol versions, unsupported password suites, or incorrect server", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4022e83dcd55a62c", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2634, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2634", "title": "Docker execution - ModuleNotFoundError: No module named 'openapi_python_client'", "created_at": "2023-04-20T07:33:18Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "bug;Stale", "body_len": 7160, "A_failure_type": "A7_configuration", "A_confidence": 0.66, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.633, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f7458e5100fd26e1", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2650, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2650", "title": "Missing imports: plugins.py", "created_at": "2023-04-20T09:36:15Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3937, "A_failure_type": "A3_compatibility", "A_confidence": 0.704, "A_evidence": "ne 12, in import openapi_python_client ModuleNotFoundError: No module named 'openapi_python_client' Also, other missing modules in plugins.py i", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8c2120f21d03be67", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2654, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2654", "title": "Spacy module installation", "created_at": "2023-04-20T10:26:29Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 32, "reactions": 0, "labels": "bug;bootstrapping", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.567, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A4_communication:1hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0cc6642a428ab132", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2658, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2658", "title": "Docker images crashes on start built with current master", "created_at": "2023-04-20T10:47:14Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "bug;docker;ci", "body_len": 3419, "A_failure_type": "A7_configuration", "A_confidence": 0.733, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dc5835c880d3c2a8", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2684, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2684", "title": "Error: The model: `gpt-4` does not exist", "created_at": "2023-04-20T15:11:44Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 21, "reactions": 9, "labels": "bug;high priority;needs investigation", "body_len": 3305, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "927240ac04ff2fcb", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2713, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2713", "title": "Testing newest update for release tomorrow and got this error upon launch", "created_at": "2023-04-20T18:52:29Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 1181, "A_failure_type": "A3_compatibility", "A_confidence": 0.665, "A_evidence": "togpt\\cli.py\", line 2, in import click ModuleNotFoundError: No module named 'click' ### Expected behavior ๐Ÿค” For it to display name and instruct", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ca8fb9121216ad8b", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2722, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2722", "title": "ModuleNotFoundError: No module named 'autogpt.config.singleton' Stable version - Demo April 16th 2023", "created_at": "2023-04-20T20:48:31Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 2697, "A_failure_type": "A3_compatibility", "A_confidence": 0.726, "A_evidence": "ModuleNotFoundError: No module named 'autogpt.config.singleton' Stable version - Demo April 16th 2023", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"issue_number": 2773, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2773", "title": "ImportError: DLL load failed while importing numpy_ops: The specified module could not be found", "created_at": "2023-04-21T05:49:41Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 15, "reactions": 2, "labels": "bug;documentation;Windows;Stale", "body_len": 4270, "A_failure_type": "A3_compatibility", "A_confidence": 0.574, "A_evidence": "ImportError: DLL load failed while importing numpy_ops: The specified module coul", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f39f501aa6d3a068", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2781, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2781", "title": "When I running Auto-GPT, there is an error I can't resolve", "created_at": "2023-04-21T06:58:50Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 3822, "A_failure_type": "A6_data_structure", "A_confidence": 0.687, "A_evidence": "lient\\schema\\__init__.py\", line 19, in from .openapi_schema_pydantic import ( File \"F:\\python\\lib\\site-packages\\openapi_python_client\\sch", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": 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"AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2810, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2810", "title": "Speech Mode not working: ModuleNotFoundError: No module named 'AppKit'", "created_at": "2023-04-21T13:31:04Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "Stale", "body_len": 4776, "A_failure_type": "A3_compatibility", "A_confidence": 0.728, "A_evidence": "Speech Mode not working: ModuleNotFoundError: No module named 'AppKit'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:2hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "eeb41f93d074a5b0", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2815, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2815", "title": "errors when starting Auto-GPT, what am i missing?", "created_at": "2023-04-21T14:18:41Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 4335, "A_failure_type": "A3_compatibility", "A_confidence": 0.648, "A_evidence": "\\Python311\\Lib\\site-packages\\git\\cmd.py\", line 392, in refresh raise ImportError(err) ImportError: Bad git executable. 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"E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:connectionerror->A8_performance;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5747b3448501d348", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2867, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2867", "title": "openai module not found", "created_at": "2023-04-22T02:02:28Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 2787, "A_failure_type": "A3_compatibility", "A_confidence": 0.615, "A_evidence": "g/config.py\", line 4, in import openai ModuleNotFoundError: No module named 'openai' ### Current behavior ๐Ÿ˜ฏ When i try to start it in an ubuntu", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", 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"B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cf35c08f6ae42b18", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2891, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2891", "title": "reading source code exit with error", "created_at": "2023-04-22T07:51:58Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "", "body_len": 7981, "A_failure_type": "A5_context_memory", "A_confidence": 0.838, "A_evidence": "c\\Auto-GPT> ### Current behavior ๐Ÿ˜ฏ read source code exceed openai's token limitation ,make the process exit. ### Expected behavior ๐Ÿค” it should work", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.742, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "49b971bc248904fa", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2897, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2897", "title": "\"THOUGHT\" is missing and \"CRITISIM\"", "created_at": "2023-04-22T08:39:08Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "Stale", "body_len": 12000, "A_failure_type": "A5_context_memory", "A_confidence": 0.852, "A_evidence": "_nothing returned: No action performed. 2023-04-22 10:34:25,521 DEBUG Token limit: 4000 2023-04-22 10:34:26,400 DEBUG 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"B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.628, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a85967c6ff93aafb", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2922, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2922", "title": "Installation error", "created_at": "2023-04-22T14:08:39Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "setup", "body_len": 5627, "A_failure_type": "A7_configuration", "A_confidence": 0.861, "A_evidence": ".5 ### Steps to reproduce ๐Ÿ•น I typed this command in /opt/Auto-GPT: pip install -r requirements.txt ### Current behavior 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port=443): Read timed out. (read timeout=600) During handling of the above exception, another exception occur", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.579, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A8_performance:2hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "932b12bdd7cb3ec0", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2941, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2941", "title": "pinecone.core.client.exceptions.ForbiddenException: 403", "created_at": "2023-04-22T18:49:30Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "", "body_len": 8322, "A_failure_type": "A7_configuration", "A_confidence": 0.668, "A_evidence": "s to reproduce ๐Ÿ•น Installation completing all instructions, including API keys for OpenAI, Pinecone, and Twitter. ### Current behavior ๐Ÿ˜ฏ CMD when", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.592, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c477eb75c915ab35", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 2964, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/2964", "title": "NameError: name 'cfg' is not defined", "created_at": "2023-04-23T00:33:39Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "needs info", 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"A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0af26e7311f8bddf", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3012, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3012", "title": "Can't solve pinecone.core.client.exceptions.ForbiddenException: (403)", "created_at": "2023-04-23T12:47:19Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "needs investigation;function: memory", "body_len": 4947, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", 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"B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "94b6168b2fdbccd8", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3047, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3047", "title": "Unable to use the Azure OPEN AI", "created_at": "2023-04-23T18:07:10Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "setup;needs investigation;Azure", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.648, "A_evidence": "moment and try again. ### Expected behavior ๐Ÿค” Soon as I replace the API key with my open 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4, in ImportError: cannot import name 'path_in_workspace' from 'autogpt.workspace' (C:\\Users\\simon\\OneDrive", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A7_configuration:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c70c27ee7f7e1919", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3075, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3075", "title": "python: can't open file 'D:\\\\AI\\\\Auto-GPT\\\\Auto-GPT\\\\scripts\\\\main.py': [Errno 2] No such file or directory", "created_at": "2023-04-24T01:15:31Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1469, "A_failure_type": "A3_compatibility", "A_confidence": 0.647, "A_evidence": "togpt\\cli.py\", line 2, in import click ModuleNotFoundError: No module named 'click' D:\\AI\\Auto-GPT\\Auto-GPT> ### Expected behavior ๐Ÿค” _No respo", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "90c2cb15591a83a3", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3082, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3082", "title": "Make local json cache 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"title": "openai.error.InvalidRequestError: This is not a chat model and thus not supported in the v1/chat/completions endpoint. 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Use one of the following values: - quiet|q|silence|s|none|n|0: for", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "04890a96c26206a7", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3164, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3164", "title": "Running docker-compose build auto-gpt fails when trying to install chromium-driver", "created_at": "2023-04-24T22:14:23Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 1, "labels": "", "body_len": 2108, "A_failure_type": "A7_configuration", "A_confidence": 0.728, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0fa5c26f61edcc82", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3215, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3215", "title": "openai.error.InvalidRequestError: This is not a chat model and thus not supported in the v1/chat/completions endpoint. 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The git executable must be spec", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f0f71e64dbf7b211", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3490, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3490", "title": "Install AutoGPT", "created_at": "2023-04-28T20:26:36Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "setup", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.823, "A_evidence": "th pip. Pressione qualquer tecla para continuar. . . 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"labels": "", "body_len": 4605, "A_failure_type": "A7_configuration", "A_confidence": 0.775, "A_evidence": "ogpt! I followed the instructions on how to install,finished with the api keys and now on terminal i get this: ``` PS C:\\Users\\Nick Vastakis\\Desk", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "30cc51abce2ebb67", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3679, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3679", "title": "json.decoder.JSONDecodeError: Expecting ',' delimiter: line 12 column 48 (char 1008)", "created_at": "2023-05-02T10:36:32Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "", "body_len": 4024, 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"state_reason": "not_planned", "comments": 27, "reactions": 18, "labels": "bug;high priority;docker;Stale", "body_len": 2114, "A_failure_type": "A7_configuration", "A_confidence": 0.606, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "deb17f360b9af818", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 3716, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/3716", "title": "Command Error: threw the following error: Missing 'command' object in JSON", "created_at": 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Use one of the following values: - quiet|q|silence|s|none|n|0: for", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "52566c98a6903003", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 4109, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/4109", "title": "Frozen runpy When Trying to Run AutoGPT via Python 3.11.3 (Windows 10 cmd Virtual Env)", "created_at": "2023-05-11T13:04:38Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "documentation;setup;Windows;Stale", "body_len": 7720, "A_failure_type": "A7_configuration", "A_confidence": 0.747, "A_evidence": "4? GPT-4 ### Steps to reproduce ๐Ÿ•น 1. Latest versions of Python and PIP installed 2. 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Worked without python.", "created_at": "2023-11-22T16:39:51Z", "year": 2023, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "Stale", "body_len": 12000, "A_failure_type": "A8_performance", "A_confidence": 0.866, "A_evidence": "onnectionPool(host='api.openai.com', port=443): Read timed out. 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However, you requested 4213 tokens (3189 in the messages, 1024 in the completion). 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"body_len": 3985, "A_failure_type": "A8_performance", "A_confidence": 0.691, "A_evidence": "llib/request.py\", line 215, in urlopen return opener.open(url, data, timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File \"/Library/Frameworks/Python.f", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e5b442c9b4c85840", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7279, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7279", "title": "Installment on i5 not working", "created_at": "2024-06-27T15:25:33Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, 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"repo": "Significant-Gravitas/AutoGPT", "issue_number": 7297, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7297", "title": "`cx-freeze` fails to install since #7271", "created_at": "2024-07-01T23:01:28Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "setup;Classic AutoGPT Agent", "body_len": 7451, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A9_safety:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ae1909cbbc7552c7", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7336, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7336", "title": "getting this error in VS code while deploying my ML model using flask", "created_at": "2024-07-05T19:24:25Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "Stale", "body_len": 2722, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bc6f6d80e11b7519", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7454, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7454", "title": "can't load credentials error", "created_at": "2024-07-16T14:00:16Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "Stale", "body_len": 6151, "A_failure_type": "A7_configuration", "A_confidence": 0.699, "A_evidence": "orrectly. Previously it gave me the same error but asked to enter the api key into the program to open an instance. now it doesn't work... ### Upl", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.889, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:2hits;A:A7_configuration:6hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;EXC:validationerror->A6_data_structure;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "849df5d9ff6457bc", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7508, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7508", "title": "Llamafile connection error breaks application start-up", "created_at": "2024-07-19T14:32:05Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "bug;Classic AutoGPT Agent", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.678, "A_evidence": "ter installing when starting the autogpt. I have manually tested the api key which works fine. ``` @SelvaKumarDevPy โžœ /workspaces/codespaces-jupy", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.746, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;EXC:connectionrefused->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "be0e49d044ca1484", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7637, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7637", "title": "Run llama mistral-7b-instruct-v0.2.Q5_K_M.llamafile with serve.py", "created_at": "2024-07-29T19:13:18Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "Stale", "body_len": 1607, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1abe47f2271dc0f6", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7659, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7659", "title": "Error with Anthropic API - Multiple Values for Keyword Argument 'model'", "created_at": "2024-07-31T23:05:01Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "Stale", "body_len": 4250, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "g to run the Auto-GPT application with the Anthropic API, I encounter TypeError for for keyword argument 'model'. ### Upload Activity Log Content _", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e4cb6e583ab1bc16", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7726, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7726", "title": "ModuleNotFoundError: No module named 'prisma.models'", "created_at": "2024-08-07T06:01:44Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 2145, "A_failure_type": "A3_compatibility", "A_confidence": 0.631, "A_evidence": "ModuleNotFoundError: No module named 'prisma.models'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8b80fa34de0ad79a", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 7748, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/7748", "title": "Prisma Generate throwing error when installing Prisma CLI", "created_at": "2024-08-08T08:49:25Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8694, "A_failure_type": "A1_functionality", "A_confidence": 0.657, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;A:A9_safety:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5fe144f3bd76bc62", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 8637, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/8637", "title": "Fix double title on Credentials input", "created_at": "2024-11-13T14:17:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;UI", "body_len": 227, "A_failure_type": "A7_configuration", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A7_configuration:1hits", "filter_reason": "labelled_bug", "taxonomy_version": "1.0"} {"record_id": "62e3f47b58494162", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 8652, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/8652", "title": "Builder Looses Websocket connection when builder is open for a few mins", "created_at": "2024-11-14T20:30:45Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 134, "A_failure_type": "A8_performance", "A_confidence": 0.97, "A_evidence": "for a few mins Refreshing the browser fixes the issue. Some sort of timeout?

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Elements are silently dropped from the output, or reported as present in both lists. ## Affecte", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "6ffc35125b9e3fc8", "framework": "AutoGPT", "repo": "Significant-Gravitas/AutoGPT", "issue_number": 15261, "url": "https://github.com/Significant-Gravitas/AutoGPT/issues/15261", "title": "FileReadBlock re-joins rows after splitting by delimiter, so it never outputs one chunk per row", "created_at": "2026-10-08T12:13:31Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 1985, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", 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"B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1ca26eb9b12e47f4", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 430, "url": "https://github.com/microsoft/autogen/issues/430", "title": "GPT-4 often outputs code before describing dependencies. This leads to inefficiencies when Autogen runs them in this order.", "created_at": "2023-10-25T20:11:20Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 2, "labels": "code-execution", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.64, "A_evidence": "e \"\", line 3, in import yfinance as yf ModuleNotFoundError: No module named 'yfinance' ---------------------------------------------------------", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ecb462df8670e8b3", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 462, "url": "https://github.com/microsoft/autogen/issues/462", "title": "Mistake in documentation for oai.completion - filter_func", "created_at": "2023-10-28T12:14:18Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "documentation", "body_len": 1139, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "e or filter_func( ^^^^^^^^^^^^ TypeError: valid_json_filter() got an unexpected keyword argument 'base_config' ``` I believe the parameter 'config' should be renamed", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f64e05a1c34d7289", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 472, "url": "https://github.com/microsoft/autogen/issues/472", "title": "Autogen useing ChatGPT 4, can any one help me how to make it work with Chatgpt 3.5", "created_at": "2023-10-29T06:41:59Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 3974, "A_failure_type": "A8_performance", "A_confidence": 0.97, "A_evidence": "n.py\", line 834, in create return cls._get_response(params, raise_on_ratelimit_or_timeout=raise_on_ratelimit_or_timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A8_performance:1hits", "filter_reason": 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"taxonomy_version": "1.0"} {"record_id": "65eb6b5d57e3b006", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 526, "url": "https://github.com/microsoft/autogen/issues/526", "title": "Issue with Autogen Installation?", "created_at": "2023-11-02T21:30:53Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "question", "body_len": 1404, "A_failure_type": "A3_compatibility", "A_confidence": 0.825, "A_evidence": "^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: config_list_from_json() got an unexpected keyword argument 'env_or_file' This is the reason why I currently can't run Autogen.", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:unexpected keyword 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"B_cause_class": "B6_context_management", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.691, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A4_communication:1hits;A:A5_context_memory:3hits;A:A7_configuration:1hits;A:A8_performance:3hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bce4f646a6659b5b", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 587, "url": "https://github.com/microsoft/autogen/issues/587", "title": "How to stream text output?", "created_at": "2023-11-07T16:20:26Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "question", "body_len": 3730, "A_failure_type": "A8_performance", "A_confidence": 0.689, "A_evidence": "n.py\", line 834, in create return 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0.543, "A_evidence": "ใ€‚ \"\"\", human_input_mode=\"NEVER\", max_consecutive_auto_reply=10, ) groupchat = autogen.GroupChat( agents=[user_proxy, knowledge_responsor,task_ex", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A4_communication:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8c32a583e3388275", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1020, "url": "https://github.com/microsoft/autogen/issues/1020", "title": "Error with API Version", "created_at": "2023-12-18T23:48:10Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "", "body_len": 8262, "A_failure_type": "A7_configuration", "A_confidence": 0.587, "A_evidence": "***** Suggested function Call: sh ***** Arguments: { \"script\": \"pip install yfinance\" } *************************************** -----------", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:3hits;A:A6_data_structure:2hits;A:A7_configuration:4hits;A:A8_performance:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;EXC:filenotfounderror->A7_configuration;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e767b22e28b00b2d", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1128, "url": "https://github.com/microsoft/autogen/issues/1128", "title": "[Bug]: Autogen Studio | Windows 11 | init error with Azure OpenAI key", "created_at": "2024-01-03T06:44:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "proj-studio", "body_len": 3341, "A_failure_type": "A7_configuration", "A_confidence": 0.91, "A_evidence": "her by passing api_key to the client or by setting the OPENAI_API_KEY environment variable ### Additional Information AutoGen Version: 0.2.0 AutoGen Studio Ve", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8bba191ca609eb25", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1129, "url": "https://github.com/microsoft/autogen/issues/1129", "title": "[Bug]: name Field Compatibility Issue in AssistantAgent and UserProxyAgent with fireworks.ai API", "created_at": "2024-01-03T08:06:34Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 0, "labels": "", "body_len": 5888, "A_failure_type": "A4_communication", "A_confidence": 0.73, "A_evidence": "iconda3/envs/pyautogen/lib/python3.10/site-packages/autogen/agentchat/groupchat.py\", line 162, in run_chat speaker = groupchat.select_speaker(speake", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "90c1982a3bd360ef", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1139, "url": "https://github.com/microsoft/autogen/issues/1139", "title": "[Bug]: `ValidationError` occurs when running branch `gemini`", "created_at": "2024-01-04T16:39:43Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.529, "A_evidence": "equired [type=missing, input_value={'finish_reason': 'stop',...=None, tool_calls=None)}, input_type=dict] For further information visit https://error", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.703, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:3hits;EXC:validationerror->A6_data_structure;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7aca159fb153eaa2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1141, "url": "https://github.com/microsoft/autogen/issues/1141", "title": "Issue with 'config_list_from_json'", "created_at": "2024-01-04T17:28:30Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 1, "labels": "", "body_len": 2141, "A_failure_type": "A3_compatibility", "A_confidence": 0.574, "A_evidence": "IST\") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: module 'autogen' has no attribute 'config_list_from_json' ### Additional Information autogen v0.2.2 p", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": 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"C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:4hits;A:A4_communication:2hits;A:A7_configuration:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f64bc258d224dab4", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1191, "url": "https://github.com/microsoft/autogen/issues/1191", "title": "[Bug]: Async functions are not awaited", "created_at": "2024-01-10T06:51:01Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "", "body_len": 3134, "A_failure_type": "A2_tool_integration", "A_confidence": 0.665, "A_evidence": "--------------------------- chatbot (to user_proxy): ***** Suggested tool Call (call_EL6Lt5Qc7H1CtDazCCTYyY0V): timer ***** Arguments: {\"num_second", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A4_communication:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "7db595d9681eaf64", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1210, "url": "https://github.com/microsoft/autogen/issues/1210", "title": "[Bug]: Missing required arguments; Expected either ('model' and 'prompt') or ('model', 'prompt' and 'stream')", "created_at": "2024-01-11T23:33:14Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 31, "reactions": 0, "labels": "good first issue;0.2", "body_len": 3159, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": 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"hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b32b9040ceedaee9", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1266, "url": "https://github.com/microsoft/autogen/issues/1266", "title": "[Bug]: Local Models try to connect to OpenAi", "created_at": "2024-01-15T18:53:42Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 24, "reactions": 3, "labels": "help wanted;models;proj-studio;0.2", "body_len": 3771, "A_failure_type": "A7_configuration", "A_confidence": 0.73, "A_evidence": "her by passing api_key to the client or by setting the OPENAI_API_KEY environment variable``` when running in PlayGround. ![AutoGen_BUG_01](https://github.com/m", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ab255883cc066a90", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1272, "url": "https://github.com/microsoft/autogen/issues/1272", "title": "[Bug]: Connection refused error on WSL2", "created_at": "2024-01-16T00:46:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 16, "reactions": 1, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A7_configuration:1hits;EXC:connectionrefused->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b788775850cb1cbe", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1300, "url": "https://github.com/microsoft/autogen/issues/1300", "title": "[Bug]: unsupported protocal http:localhost", "created_at": "2024-01-17T06:33:44Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "proj-studio", "body_len": 2706, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d2b2a8097a07493d", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1325, "url": "https://github.com/microsoft/autogen/issues/1325", "title": "[Issue]: AutoGen Studio | Error with Azure OpenAI key", "created_at": "2024-01-18T15:34:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "proj-studio;0.2", "body_len": 2551, "A_failure_type": "A3_compatibility", "A_confidence": 0.732, "A_evidence": "session, Im getting this error. AttributeError: '**NoneType**' object has no attribute '**model_dump**'. Maybe Im missing something? Thanks in advance. ``", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9b8f4bd838c1a351", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1336, "url": "https://github.com/microsoft/autogen/issues/1336", "title": "[Feature Request]: Using registered functions in code execution, useful for non-openai models.", "created_at": "2024-01-19T09:12:19Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 0, "labels": "code-execution;tool-usage;models", "body_len": 1988, "A_failure_type": "A2_tool_integration", "A_confidence": 0.673, "A_evidence": "ny non-openai models do not support messages with `function_call` or `tool_call` field so registered functions in a `UserProxyAgent` cannot pick them", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "304048bf56ba46cd", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1338, "url": "https://github.com/microsoft/autogen/issues/1338", "title": "[Bug]: Couldn't use Azure openai with autogenstudio", "created_at": "2024-01-19T12:51:23Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "proj-studio", "body_len": 7075, "A_failure_type": "A7_configuration", "A_confidence": 0.97, "A_evidence": "her by passing api_key to the client or by setting the OPENAI_API_KEY environment variable INFO: 127.0.0.1:49856 - \"POST /api/messages HTTP/1.1\" 200 OK even I", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d7f903bdcf25e4f9", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1347, "url": "https://github.com/microsoft/autogen/issues/1347", "title": "[Bug]: windows could work, but for linux remote use , it stuck at prompt process", "created_at": "2024-01-20T03:23:15Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "proj-studio", "body_len": 12000, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.607, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "EXC:connectionrefused->A7_configuration;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f2b659c6b8d59f06", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1350, "url": "https://github.com/microsoft/autogen/issues/1350", "title": "[AutoGen Studio]: I have installed AutoGen Studio on Windows machine, but samples are not working", "created_at": "2024-01-20T18:13:32Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "proj-studio", "body_len": 12000, 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"A_evidence": "you run into an error saying: TypeError: Completions.create() got an unexpected keyword argument 'api_type' ### Steps to reproduce Install LM studio Start LM Studio", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "df717851b6a08d80", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1423, "url": "https://github.com/microsoft/autogen/issues/1423", "title": "[Bug]: Code execution seems strange for AUTOGEN STUDIO's group chat feature", "created_at": "2024-01-26T23:29:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 21, "reactions": 1, "labels": "proj-studio", "body_len": 12000, "A_failure_type": "A4_communication", "A_confidence": 0.579, "A_evidence": "[Bug]: Code execution seems strange for AUTOGEN STUDIO's group chat feature", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.724, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:3hits;A:A4_communication:3hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e2b2f7ef06ebe415", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1436, "url": "https://github.com/microsoft/autogen/issues/1436", "title": "[Bug]: CI fails for the latest version 8.0.0 of pytest", "created_at": "2024-01-27T23:15:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 5033, "A_failure_type": "A3_compatibility", "A_confidence": 0.643, "A_evidence": "bject = collector.obj INTERNALERROR> AttributeError: 'Package' object has no attribute 'obj' ``` ### Expected Behavior _No response_ ### Screenshots and", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b8b75f78fe8a76ba", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1447, "url": "https://github.com/microsoft/autogen/issues/1447", "title": "ModuleNotFoundError: No module named 'openai.openai_object' ๏ผ›Tried too many times and couldn't solve", "created_at": "2024-01-29T13:34:47Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "question", "body_len": 2876, "A_failure_type": "A3_compatibility", "A_confidence": 0.716, "A_evidence": "ModuleNotFoundError: No module named 'openai.openai_object' ๏ผ›Tried too many times and couldn't solve", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "30dacf4301f5fb9c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1524, "url": "https://github.com/microsoft/autogen/issues/1524", "title": "[Bug]: validation error for AutoGen Studio Agent Workflow API Example", "created_at": "2024-02-03T09:37:46Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "proj-studio", "body_len": 3237, "A_failure_type": "A6_data_structure", "A_confidence": 0.804, "A_evidence": "[Bug]: validation error for AutoGen Studio Agent Workflow API Example", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "643b3a879746747f", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1526, "url": "https://github.com/microsoft/autogen/issues/1526", "title": "[Bug]: OpenAIWrapper import not working.", "created_at": "2024-02-03T14:24:07Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 12, "reactions": 0, "labels": "", "body_len": 3373, "A_failure_type": "A3_compatibility", "A_confidence": 0.813, "A_evidence": "able_agent.py\", line 11, in from .. import OpenAIWrapper ImportError: cannot import name 'OpenAIWrapper' from 'autogen' (/usr/local/lib/python3.11/site-packag", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:1hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2fb4f7739282baef", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1527, "url": "https://github.com/microsoft/autogen/issues/1527", "title": "[Bug]: Error with Pydantic 2.6 when using open source models", "created_at": "2024-02-03T22:16:40Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "proj-studio", "body_len": 5973, "A_failure_type": "A6_data_structure", "A_confidence": 0.97, "A_evidence": "[Bug]: Error with Pydantic 2.6 when using open source models", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "760873e4e6396707", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1561, "url": "https://github.com/microsoft/autogen/issues/1561", "title": "[Issue]: Gemini pro - Authentication error for UserProxy", "created_at": "2024-02-06T19:22:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 5508, "A_failure_type": "A7_configuration", "A_confidence": 0.749, "A_evidence": "thenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: AIzaSyBe***************************sc6A. You can find your", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "95a69cfca689455c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1613, "url": "https://github.com/microsoft/autogen/issues/1613", "title": "[Bug]: AttributeError: 'OpenAI' object has no attribute 'total_usage_summary'", "created_at": "2024-02-09T19:52:51Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "good first issue;multimodal", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.903, "A_evidence": "[Bug]: AttributeError: 'OpenAI' object has no attribute 'total_usage_summary'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3326f24214688488", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1617, "url": "https://github.com/microsoft/autogen/issues/1617", "title": "AttributeError: module 'autogen' has no attribute 'Agent'", "created_at": "2024-02-10T11:27:36Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "proj-studio", "body_len": 1317, "A_failure_type": "A3_compatibility", "A_confidence": 0.753, "A_evidence": "AttributeError: module 'autogen' has no attribute 'Agent'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "88c8b91c889e226e", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1629, "url": "https://github.com/microsoft/autogen/issues/1629", "title": "[Bug]: Autogen studio code execution not working properly on windows", "created_at": "2024-02-11T20:00:48Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "proj-studio;0.2", "body_len": 9251, "A_failure_type": "A3_compatibility", "A_confidence": 0.619, "A_evidence": "replace(filename, \"\") ^^^^^^^^^^^^ AttributeError: 'NoneType' object has no attribute 'replace' ### Steps to reproduce 1. start AutoGen Studio with the c", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6a8f1c9a06d3dfa0", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1640, "url": "https://github.com/microsoft/autogen/issues/1640", "title": "[Issue]: AttributeError: module 'autogen' has no attribute 'RetrieveAssistantAgent'", "created_at": "2024-02-12T11:56:06Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 929, "A_failure_type": "A3_compatibility", "A_confidence": 0.792, "A_evidence": "[Issue]: AttributeError: module 'autogen' has no attribute 'RetrieveAssistantAgent'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8bd29dd929389826", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1667, "url": "https://github.com/microsoft/autogen/issues/1667", "title": "[Issue]: Unable to register custom model client for Assistant Agent", "created_at": "2024-02-13T15:02:45Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "models", "body_len": 4910, "A_failure_type": "A4_communication", "A_confidence": 0.692, "A_evidence": "hon import random from autogen import AssistantAgent, UserProxyAgent, GroupChat, Agent, GroupChatManager class DummyModelClient: \"\"\" A non-interac", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "18aa29f45bb598e3", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1675, "url": "https://github.com/microsoft/autogen/issues/1675", "title": "[Bug]: Error AttributeError: module 'autogen' has no attribute 'Agent'", "created_at": "2024-02-14T07:09:33Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "proj-studio", "body_len": 1388, "A_failure_type": "A3_compatibility", "A_confidence": 0.733, "A_evidence": "[Bug]: Error AttributeError: module 'autogen' has no attribute 'Agent'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b10a6667325b1667", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1679, "url": "https://github.com/microsoft/autogen/issues/1679", "title": "[Bug]: Traceback (most recent call last): File \"/root/autodl-tmp/autogen.py\", line 4, in import autogen File \"/root/autodl-tmp/autogen.py\", line 5, in from autogen.agentchat.contrib.qdrant_retrieve_user_proxy_agent import QdrantRetrieveUserProxyAgent ModuleNotFoundError: No module ", "created_at": "2024-02-14T19:13:31Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 533, "A_failure_type": "A3_compatibility", "A_confidence": 0.674, "A_evidence": ".qdrant_retrieve_user_proxy_agent import QdrantRetrieveUserProxyAgent ModuleNotFoundError: No module", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5292daf1be94d1bb", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1716, "url": "https://github.com/microsoft/autogen/issues/1716", "title": "[Bug]: Autogen with Azure OpenAI throws an error", "created_at": "2024-02-18T03:29:16Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "proj-studio;0.2", "body_len": 4995, "A_failure_type": "A4_communication", "A_confidence": 0.674, "A_evidence": "a\\Local\\anaconda3\\envs\\autogenenv\\Lib\\site-packages\\autogen\\agentchat\\groupchat.py\", line 547, in run_chat speaker = groupchat.select_speaker(speake", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.603, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:2hits;A:A4_communication:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2374554ca1f99c6e", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1719, "url": "https://github.com/microsoft/autogen/issues/1719", "title": "[Bug]: tools execution gets an error after a while - tool_responses was unexpected", "created_at": "2024-02-18T15:44:38Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "tool-usage", "body_len": 2769, "A_failure_type": "A2_tool_integration", "A_confidence": 0.733, "A_evidence": "few times but then I receive the following error: ``` ***** Suggested tool Call (call_6ogwDmVI1mXUcWwlMBDn3gnw): build_docker_image ***** Arguments:", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1b39e25e77e5fafc", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1738, "url": "https://github.com/microsoft/autogen/issues/1738", "title": "[Issue]: Unable to enable tool calling when using a custom model", "created_at": "2024-02-20T18:30:55Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 17, "reactions": 0, "labels": "tool-usage;models;0.2", "body_len": 11561, "A_failure_type": "A6_data_structure", "A_confidence": 0.517, "A_evidence": "AutoTokenizer, GenerationConfig, AutoModelForCausalLM from langchain.pydantic_v1 import BaseModel, Field from langchain.tools import BaseTool clas", "B_cause_class": "B6_context_management", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9eac4dd212199a6f", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1745, "url": "https://github.com/microsoft/autogen/issues/1745", "title": "[Bug]: when used in Windows, the error \"UnicodeDecodeError: 'gbk' codec can't decode byte 0xb3 in position 2130: illegal multibyte sequence\" occur", "created_at": "2024-02-21T09:36:23Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 11, "reactions": 0, "labels": "0.2", "body_len": 2409, "A_failure_type": "A4_communication", "A_confidence": 0.689, "A_evidence": "ctcode\\PythonProject\\AutoGen\\venv\\lib\\site-packages\\autogen\\agentchat\\groupchat.py\", line 549, in run_chat reply = speaker.generate_reply(sender=sel", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dcc10ddb885ae8d2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1802, "url": "https://github.com/microsoft/autogen/issues/1802", "title": "[Bug]: Can't execute functions on WSL or Windows. ModuleNotFoundError: No module named 'functions'", "created_at": "2024-02-27T18:30:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3958, "A_failure_type": "A3_compatibility", "A_confidence": 0.599, "A_evidence": "Bug]: Can't execute functions on WSL or Windows. ModuleNotFoundError: No module named 'functions'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d230b42921702389", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1829, "url": "https://github.com/microsoft/autogen/issues/1829", "title": "UnprocessableEntityError: Error code: 422 - {'detail': [{'loc': ['body', 'messages', 2, 'content'], 'msg': 'none is not an allowed value', 'type': 'type_error.none.not_allowed'}]}[Issue]:", "created_at": "2024-03-01T02:16:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8688, "A_failure_type": "A2_tool_integration", "A_confidence": 0.644, "A_evidence": "act_text_or_completion_object(response)[0] 714 # ensure function and tool calls will be accepted when sent back to the LLM File ~/miniconda3/envs/au", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.6, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "db948adb2f60b9b4", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1838, "url": "https://github.com/microsoft/autogen/issues/1838", "title": "[Issue]: need some help on multimodal multi agent, function call", "created_at": "2024-03-02T00:47:13Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 11, "reactions": 1, "labels": "tool-usage;multimodal;0.2", "body_len": 12000, "A_failure_type": "A4_communication", "A_confidence": 0.599, "A_evidence": "map={\"code_to_image_bytes_or_error\": code_to_image_bytes_or_error} ) groupchat = autogen.GroupChat(agents=[user_proxy, image_critic, coder], message", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A4_communication:3hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3ca56d13c7545b69", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1916, "url": "https://github.com/microsoft/autogen/issues/1916", "title": "Azure Whisper AI is not working", "created_at": "2024-03-08T11:27:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 8999, "A_failure_type": "A3_compatibility", "A_confidence": 0.663, "A_evidence": "ttpcore.SyncHTTPTransport] = None, AttributeError: module 'httpcore' has no attribute 'SyncHTTPTransport' --------------------------------------------", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:4hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "35a1324698b6e4c1", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1945, "url": "https://github.com/microsoft/autogen/issues/1945", "title": "[Bug]: Error code: 400 when running claude-3-opus-20240229 via litellm in AG 0.2.17, not happening with previous AG version 0.2.3", "created_at": "2024-03-10T17:12:25Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 14, "reactions": 0, "labels": "models", "body_len": 5981, "A_failure_type": "A4_communication", "A_confidence": 0.772, "A_evidence": "bi\\anaconda3\\envs\\gr_teach_autogn\\lib\\site-packages\\autogen\\agentchat\\groupchat.py\", line 609, in run_chat speaker = groupchat.select_speaker(speake", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4001ed6f1a1d2a38", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1947, "url": "https://github.com/microsoft/autogen/issues/1947", "title": "[Bug]: PowerShell existence test broken on Mac", "created_at": "2024-03-11T03:37:48Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "code-execution", "body_len": 5027, "A_failure_type": "A7_configuration", "A_confidence": 0.64, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ae329c6e94a6544b", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1949, "url": "https://github.com/microsoft/autogen/issues/1949", "title": "[Bug]: cant run local model", "created_at": "2024-03-11T07:00:44Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "proj-studio;0.2;needs-triage", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.906, "A_evidence": "etup an agent utilising a local LLM, I am told i need to reference an API key. Then when a false API key is referenced, the model still doesnt work", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.703, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f018123e7e8448fc", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1960, "url": "https://github.com/microsoft/autogen/issues/1960", "title": "[Bug]: Can't run on Windows 11 due to \"np.Inf\" error", "created_at": "2024-03-12T04:55:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 1, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.689, "A_evidence": "rs\\ctavo>conda activate autogenstudio (autogenstudio) C:\\Users\\ctavo>pip install autogenstudio Collecting autogenstudio Using cached autogenstudio-0.", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d2c2877d837d3a0f", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1961, "url": "https://github.com/microsoft/autogen/issues/1961", "title": "[Bug]: Crash: PermissionDenied/\"powershell\" error on MacOS 14.3.1", "created_at": "2024-03-12T06:40:20Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "", "body_len": 4142, "A_failure_type": "A7_configuration", "A_confidence": 0.673, "A_evidence": "filed on behalf of @brandonisagoon . ### Steps to reproduce ```bash pip install pyautogen python -c 'import autogen' ``` Output: ```bash Traceback", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "707f37647d7cd492", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 1998, "url": "https://github.com/microsoft/autogen/issues/1998", "title": "[Bug]: error๏ผšAttributeError: 'str' object has no attribute 'model' appears in agentchat_groupchat_RAG.ipynb", "created_at": "2024-03-13T14:08:50Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "0.2", "body_len": 6688, "A_failure_type": "A3_compatibility", "A_confidence": 0.636, "A_evidence": "[Bug]: error๏ผšAttributeError: 'str' object has no attribute 'model' appears in agentchat_groupchat_RAG.ipynb", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "176cc6477164b1b2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2038, "url": "https://github.com/microsoft/autogen/issues/2038", "title": "[Issue]: IndexError: list index out of range", "created_at": "2024-03-16T11:43:57Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 10, "reactions": 0, "labels": "documentation;code-execution;models;0.2;needs-triage", "body_len": 5159, "A_failure_type": "A7_configuration", "A_confidence": 0.887, "A_evidence": "equest logs were found. How to solve it? ### Steps to reproduce 1. pip install pyautogen 2. run code on the notebook `agentchat_auto_feedback_from_c", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3f2c350f9e969ffb", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2060, "url": "https://github.com/microsoft/autogen/issues/2060", "title": "[Feature Request]: partial error message from code executor", "created_at": "2024-03-18T17:21:18Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "code-execution;0.2;needs-triage", "body_len": 1323, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "76f212327520c0d3", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2113, "url": "https://github.com/microsoft/autogen/issues/2113", "title": "[Bug]: `Uncaught app exception` should be catched and not crash the app completely", "created_at": "2024-03-21T15:14:51Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 8309, "A_failure_type": "A8_performance", "A_confidence": 0.762, "A_evidence": "be managed, LLM notified and call retried. ### Screenshots and logs Timeout: ``` 2024-03-21 16:09:12.635 Uncaught app exception Traceback (most", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:1hits;A:A8_performance:2hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "50c81e89d5de3fdf", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2143, "url": "https://github.com/microsoft/autogen/issues/2143", "title": "[Bug]: TypeError: Missing required arguments; Expected either ('messages' and 'model') or ('messages', 'model' and 'stream') arguments to be given", "created_at": "2024-03-25T08:37:32Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 3769, "A_failure_type": "A4_communication", "A_confidence": 0.76, "A_evidence": "n why the task is not solved yet.\"\"\" ) task = ''' tell me a joke''' groupchat = autogen.GroupChat(agents=[user_proxy, coder, assistant], messages=[", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.586, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a1d84b9e7c11688b", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2154, "url": "https://github.com/microsoft/autogen/issues/2154", "title": "UserProxyAgent sends empty message", "created_at": "2024-03-26T08:39:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 7964, "A_failure_type": "A8_performance", "A_confidence": 0.818, "A_evidence": "ode is agentchat_teaching.ipynb: ``` import autogen llm_config = { \"timeout\": 600, \"cache_seed\": 50, # change the seed for different trials \"co", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3ff58d3fe0344218", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2163, "url": "https://github.com/microsoft/autogen/issues/2163", "title": "[Issue]: self._make_status_error_from_response(err.response) from None openai.InternalServerError: Error code: 500 - {'error': {'message': \"'eval_count'\", 'type': None, 'param': None, 'code': 500}}", "created_at": "2024-03-27T04:13:23Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "question;models;0.2;needs-triage", "body_len": 3288, "A_failure_type": "A2_tool_integration", "A_confidence": 0.97, "A_evidence": "be the issue question:I met this question when I run the demo of the tool call , 1. I use litellm to start ollama/mistral 2. ollama/mistral I use t", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "58f94eeea3745883", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2202, "url": "https://github.com/microsoft/autogen/issues/2202", "title": "[Issue]: LMstudio setting not working", "created_at": "2024-03-29T03:07:06Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 1879, "A_failure_type": "A3_compatibility", "A_confidence": 0.673, "A_evidence": "odel return response.choices[0].message.content ~~~~~~~~~~~~~~~~^^^ TypeError: 'NoneType' object is not subscriptable \u001b[32mINFO\u001b[0m: 127.0.0.1:530", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4d8317af9614800d", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2210, "url": "https://github.com/microsoft/autogen/issues/2210", "title": "[Issue]: autogen agents for gmail with langchain gmail toolkit giving errors with transform_history", "created_at": "2024-03-29T16:56:45Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "question;0.2;needs-triage", "body_len": 5611, "A_failure_type": "A3_compatibility", "A_confidence": 0.593, "A_evidence": "it__ super().__init__( TypeError: ConversableAgent.__init__() got an unexpected keyword argument 'clear_history' ``` ### Additional Information ```shell pip list", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.764, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:4hits;A:A6_data_structure:3hits;A:A7_configuration:4hits;A:A8_performance:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4c59a54288541651", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2246, "url": "https://github.com/microsoft/autogen/issues/2246", "title": "[Bug]: claude supports problem---not 'system' as an input message role", "created_at": "2024-04-02T00:45:37Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 4553, "A_failure_type": "A4_communication", "A_confidence": 0.97, "A_evidence": "ge role ### Describe the bug pyautogen 0.2.21 in mac air when using Groupchat, raise this error: openai.BadRequestError: Error code: 400 - {'error", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0f5af9018b9fef65", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2300, "url": "https://github.com/microsoft/autogen/issues/2300", "title": "[Bug]: docs/tutorial/code-executors Docker Execution Doesn't Work", "created_at": "2024-04-05T20:47:28Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 2346, "A_failure_type": "A7_configuration", "A_confidence": 0.665, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8afa315880ca47fe", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2305, "url": "https://github.com/microsoft/autogen/issues/2305", "title": "[Bug]: invalid request: agent message content is empty", "created_at": "2024-04-06T06:53:25Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 4141, "A_failure_type": "A4_communication", "A_confidence": 0.97, "A_evidence": "content is empty', 'type': 'invalid_request_error'}} when i run the groupchat. First round is good, the second round appear the error. ### Steps t", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5035a86267bbf00f", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2314, "url": "https://github.com/microsoft/autogen/issues/2314", "title": "[Issue]: TypeError: Completions.create() got an unexpected keyword argument 'headers'", "created_at": "2024-04-07T11:58:32Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8113, "A_failure_type": "A3_compatibility", "A_confidence": 0.919, "A_evidence": "[Issue]: TypeError: Completions.create() got an unexpected keyword argument 'headers'", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A6_data_structure:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "355d8d364b512c71", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2318, "url": "https://github.com/microsoft/autogen/issues/2318", "title": "[Issue]: I run LLM through FastChat, and use ChatGLM3 for my LLM. When execute skills will report: NameError: name 'tool_call' is not define", "created_at": "2024-04-08T03:20:28Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "proj-studio;0.2;needs-triage", "body_len": 1380, "A_failure_type": "A2_tool_integration", "A_confidence": 0.765, "A_evidence": "hatGLM3 for my LLM. When execute skills will report: NameError: name 'tool_call' is not define", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e423d3e8230af6d0", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2372, "url": "https://github.com/microsoft/autogen/issues/2372", "title": "[Bug]: 'NoneType' object has no attribute 'chat'", "created_at": "2024-04-12T19:23:56Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "proj-studio", "body_len": 750, "A_failure_type": "A3_compatibility", "A_confidence": 0.694, "A_evidence": "[Bug]: 'NoneType' object has no attribute 'chat'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "aed1b5d95f3ca356", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2457, "url": "https://github.com/microsoft/autogen/issues/2457", "title": "[Problem]: Groupchat fails to run with Mistral models due the `name` field of message not accepted.", "created_at": "2024-04-19T21:47:08Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 10, "reactions": 0, "labels": "group chat/teams", "body_len": 8471, "A_failure_type": "A4_communication", "A_confidence": 0.843, "A_evidence": "[Problem]: Groupchat fails to run with Mistral models due the `name` field of message not", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:4hits;A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "679e792e6b7f8f24", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2514, "url": "https://github.com/microsoft/autogen/issues/2514", "title": "[Bug]: base_url seems not work on \"http://localhost:1234/v1\"", "created_at": "2024-04-25T18:07:51Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 2458, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.829, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e5dddfdaf9639b1c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2520, "url": "https://github.com/microsoft/autogen/issues/2520", "title": "[Feature Request]: Support More core language and make extension DOCKER", "created_at": "2024-04-26T01:06:31Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3593, "A_failure_type": "A8_performance", "A_confidence": 0.636, "A_evidence": "line_code_executor.py\", line 185, in execute_code_blocks command = [\"timeout\", str(self._timeout), _cmd(lang), filename] ^^^^^^^^^^ File \"/home/", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "385d66600af6434c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2528, "url": "https://github.com/microsoft/autogen/issues/2528", "title": "[Bug]: MultmodalConversable agent fails when LLM config points to local Ollama/LLaVA proxied by LiteLLM", "created_at": "2024-04-26T20:53:13Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 4383, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;EXC:connectionerror->A8_performance;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3e61c1026eaefb77", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2541, "url": "https://github.com/microsoft/autogen/issues/2541", "title": "[Bug]: TypeError: Completions.create() got an unexpected keyword argument 'tools'", "created_at": "2024-04-29T06:50:26Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "", "body_len": 10352, "A_failure_type": "A3_compatibility", "A_confidence": 0.847, "A_evidence": "[Bug]: TypeError: Completions.create() got an unexpected keyword argument 'tools'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:5hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4acac6e759a559f7", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2548, "url": "https://github.com/microsoft/autogen/issues/2548", "title": "[Issue]: LiteLLM with Ollama function calling cannot find function", "created_at": "2024-04-30T02:23:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "models;0.2;needs-triage", "body_len": 6445, "A_failure_type": "A2_tool_integration", "A_confidence": 0.882, "A_evidence": "[Issue]: LiteLLM with Ollama function calling cannot find function", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e503ce725e1e6c7c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2573, "url": "https://github.com/microsoft/autogen/issues/2573", "title": "[Bug]: Runtime error with autogen.runtime_logging.start, using nested chats", "created_at": "2024-05-02T15:36:24Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "logging", "body_len": 3645, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "me__, ^^^^^^^^^^^^^^^^^^^ AttributeError: 'functools.partial' object has no attribute '__name__'. Did you mean: '__ne__'? ``` ### Additional Information", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ae11aac943278a31", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2667, "url": "https://github.com/microsoft/autogen/issues/2667", "title": "[Issue]: pgvector query returning byts instead of string", "created_at": "2024-05-12T10:05:10Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "rag;0.2;needs-triage", "body_len": 3711, "A_failure_type": "A3_compatibility", "A_confidence": 0.854, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.71, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "58391326a70cc3a7", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2681, "url": "https://github.com/microsoft/autogen/issues/2681", "title": "AttributeError: 'AssistantAgent' object has no attribute 'register_for_llm'. Did you mean: 'register_reply'?", "created_at": "2024-05-14T03:16:07Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "help wanted;0.2;needs-triage", "body_len": 2674, "A_failure_type": "A3_compatibility", "A_confidence": 0.762, "A_evidence": "AttributeError: 'AssistantAgent' object has no attribute 'register_for_llm'. Did you mean: 'register_reply'?", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ca20dfdebb9b1d84", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2713, "url": "https://github.com/microsoft/autogen/issues/2713", "title": "[Bug]: Running app from Docker image doesn't work", "created_at": "2024-05-17T16:50:32Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 9, "reactions": 1, "labels": "0.2;needs-triage", "body_len": 6723, "A_failure_type": "A7_configuration", "A_confidence": 0.781, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:connectionerror->A8_performance;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d0b49f2e34a19c09", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2740, "url": "https://github.com/microsoft/autogen/issues/2740", "title": "[Bug]: gemini model not working", "created_at": "2024-05-21T14:29:41Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "models", "body_len": 4055, "A_failure_type": "A7_configuration", "A_confidence": 0.652, "A_evidence": "ai-models/cloud-gemini.ipynb The only thing i changed is the gemini api key, using one I have generated I get this error: ``` Logging session I", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.652, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0be3cad32d0cd762", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2758, "url": "https://github.com/microsoft/autogen/issues/2758", "title": "[Bug]: Cache directory \"./.cache/42\" does not exist and could not be created", "created_at": "2024-05-22T14:30:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 6067, "A_failure_type": "A4_communication", "A_confidence": 0.772, "A_evidence": "playground tab. **But if you ...** Go to new 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"labels": "0.2;needs-triage", "body_len": 4043, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "--------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[15], line 1 ----> 1 ragprox", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f6fec25bf76eabd2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 2798, "url": "https://github.com/microsoft/autogen/issues/2798", "title": "TypeError: ConversableAgent.__init__() got an unexpected keyword argument 'description'", "created_at": "2024-05-26T12:58:27Z", "year": 2024, "state": "closed", "state_reason": 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"repo": "microsoft/autogen", "issue_number": 2985, "url": "https://github.com/microsoft/autogen/issues/2985", "title": "[Bug]: qdrant-client version>=1.9.2 is not supported in RAG agents", "created_at": "2024-06-21T08:15:44Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "rag", "body_len": 4752, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "64c40e9e254a495c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3011, "url": "https://github.com/microsoft/autogen/issues/3011", "title": "[Bug]: Optiguide example does not run with current autogen version", "created_at": "2024-06-24T20:01:05Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 7627, "A_failure_type": "A3_compatibility", "A_confidence": 0.788, "A_evidence": "on { \"name\": \"AttributeError\", \"message\": \"'AssistantAgent' object has no attribute 'source_code'\", \"stack\": \"------------------------------------------", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"A4_communication", "A_confidence": 0.733, "A_evidence": "stantAgent) with claude-3-5-sonnet-20240620 crashes. I have a simple group chat, round-robin - [analyzer, analyzer_assistant, executor, reviewer] Whe", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b1b23b2b6f3d79b5", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3208, "url": "https://github.com/microsoft/autogen/issues/3208", "title": "[Bug]: LlamaIndexConversableAgent sends a coroutine?", "created_at": "2024-07-25T01:40:47Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 10856, "A_failure_type": "A4_communication", "A_confidence": 0.734, 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"https://github.com/microsoft/autogen/issues/3240", "title": "[package import issue]: Autogen does not install markdownify package required by WebSurfer.", "created_at": "2024-07-28T19:41:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "0.2;needs-triage", "body_len": 4356, "A_failure_type": "A3_compatibility", "A_confidence": 0.722, "A_evidence": "wser_utils.py:12) from bs4 import BeautifulSoup ModuleNotFoundError: No module named 'markdownify' ``` ### Steps to reproduce 1). cd 2). p", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", 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"E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f86da31816afc2dc", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3266, "url": "https://github.com/microsoft/autogen/issues/3266", "title": "[Bug]: Cannot use MultimodalConversableAgent with anthropic models", "created_at": "2024-07-31T22:30:15Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "models", "body_len": 4904, "A_failure_type": "A7_configuration", "A_confidence": 0.672, "A_evidence": ". \"model\": \"claude-3-5-sonnet-20240620\", # You need to provide your API key here. \"api_key\": os.getenv(\"ANTHROPIC_API_KEY\"), \"api_type\": \"anthr", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A2_tool_integration:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e14fbdf04e813647", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3270, "url": "https://github.com/microsoft/autogen/issues/3270", "title": "[Bug]: Cohere tool calling with regular LLM call later results in BadRequestError: status_code: 400", "created_at": "2024-08-01T11:54:41Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "models", "body_len": 6501, "A_failure_type": "A8_performance", "A_confidence": 0.647, "A_evidence": "s) 733 except APITimeoutError as err: 734 logger.debug(f\"config {i} timed out\", exc_info=True) [/usr/local/lib/python3.10/dist-packages/autogen/oa", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.694, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A4_communication:2hits;A:A5_context_memory:2hits;A:A8_performance:3hits;EXC:timeouterror->A8_performance;EXC:ratelimiterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "494466d708f4e5d2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3275, "url": "https://github.com/microsoft/autogen/issues/3275", "title": "[Bug]: autogenstudio start failed caused by autogen circular import", "created_at": "2024-08-02T01:29:40Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "proj-studio", "body_len": 2349, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "29, in from ..coding.base import CodeExecutor ImportError: cannot import name 'CodeExecutor' from partially initialized module 'autogen.coding.base", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "048912fd78671279", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3284, "url": "https://github.com/microsoft/autogen/issues/3284", "title": "[Bug]: openai.BadRequestError when using GPTAssistantAgent in GroupChat", "created_at": "2024-08-02T10:28:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 4473, "A_failure_type": 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"tool-usage;0.2;needs-triage", "body_len": 6640, "A_failure_type": "A2_tool_integration", "A_confidence": 0.537, "A_evidence": "ribe the issue I am trying to build an agent setup with an agent for function calling and an agent for executing the functions. I am testing with sample fu", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6af5665c1b1e90d4", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3361, "url": "https://github.com/microsoft/autogen/issues/3361", "title": "[Bug]: TypeError: unhashable type: 'ImportFromModule' for User Defined Functions", "created_at": "2024-08-16T06:05:33Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 3653, "A_failure_type": "A2_tool_integration", "A_confidence": 0.522, "A_evidence": "call last): File \"C:\\Users\\zhaoc\\PycharmProjects\\financal-analyst\\3.function_use.py\", line 15, in code_executor.initiate_chat( File \"C:\\Use", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2963c0a5a0cb6ff3", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3408, "url": "https://github.com/microsoft/autogen/issues/3408", "title": "[Bug]: Cannot resume groupchat with tool calls", "created_at": "2024-08-23T15:54:03Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 1, "labels": "group chat/teams", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.618, "A_evidence": "[Bug]: Cannot resume groupchat with tool calls", "B_cause_class": "B6_context_management", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.596, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A4_communication:3hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:3hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "12559925195d1db2", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 3448, "url": "https://github.com/microsoft/autogen/issues/3448", "title": "[Bug]: AttributeError: 'NoneType' object has no attribute 'create'", "created_at": "2024-08-29T09:48:29Z", "year": 2024, "state": "closed", 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Install the following in a virtual environment: ``` pip install -e autogen-core pip install -e autogen-agentchat pip install -e auto", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D4_minor", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "bca7d66b77d04841", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 4841, "url": "https://github.com/microsoft/autogen/issues/4841", "title": "Issue with Magentic-One - Termination", "created_at": "2024-12-27T21:16:21Z", "year": 2024, "state": "closed", "state_reason": "duplicate", "comments": 2, "reactions": 2, "labels": "needs-triage", "body_len": 12000, "A_failure_type": "A1_functionality", "A_confidence": 0.78, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.804, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "58582b9bee4405e4", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 4899, "url": "https://github.com/microsoft/autogen/issues/4899", "title": "No module named 'azure' -- installation instruction of magentic one needs to be updated", "created_at": "2025-01-06T01:15:44Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "documentation;good first issue;proj-agentchat", "body_len": 1471, "A_failure_type": "A7_configuration", "A_confidence": 0.709, "A_evidence": "", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ab238c923a862686", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 4904, "url": "https://github.com/microsoft/autogen/issues/4904", "title": "Handling policy for unhandled agent exceptions", "created_at": "2025-01-06T10:26:14Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 1, "labels": "proj-core", "body_len": 4058, "A_failure_type": "A4_communication", "A_confidence": 0.895, "A_evidence": "expect to happen? 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Ar", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6d7a0194280bfd39", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 5212, "url": "https://github.com/microsoft/autogen/issues/5212", "title": "Missing extra_create_kwargs in AssistantAgent", "created_at": "2025-01-27T02:08:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "needs-triage", "body_len": 5238, "A_failure_type": "A4_communication", "A_confidence": 0.851, "A_evidence": "xtMentionTermination(\"TERMINATE\") | MaxMessageTermination(10) # The group chat will alternate between the assistant and the code executor. group_ch", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3ab5c9fc8def1f6c", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 5222, "url": "https://github.com/microsoft/autogen/issues/5222", "title": "Bug in structured outputs with OpenAIChatCompletionClient", "created_at": "2025-01-27T19:16:51Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "needs-triage", "body_len": 3235, "A_failure_type": "A2_tool_integration", "A_confidence": 0.79, "A_evidence": "s/autogen_so_test.py:25: UserWarning: Finish reason mismatch: stop != tool_calls when tool_calls are present. Finish reason may not be accurate. This", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "57fc0bfabd503c6b", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 5318, "url": "https://github.com/microsoft/autogen/issues/5318", "title": "Autogen agent_reply return \"NoneType\" error on normal questions", "created_at": "2025-02-01T04:46:17Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "needs-triage", "body_len": 4162, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "t.py\", line 287, in message_retrieval for choice in choices ^^^^^^^ TypeError: 'NoneType' object is not iterable ``` ### Steps taken to locate sor", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d9352ff5023f251d", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 5322, "url": "https://github.com/microsoft/autogen/issues/5322", "title": "SelectorGroupChat not working with Gemini 2.0 Flash", "created_at": "2025-02-02T02:02:41Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "needs-triage", "body_len": 6816, "A_failure_type": "A4_communication", "A_confidence": 0.658, "A_evidence": "en_agentchat/teams/_group_chat/_selector_group_chat.py\", line 139, in 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"โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ โ”‚ โ”‚ 90 โ”‚ โ”‚ Load the current dotenv as system environment variable. โ”‚ self = โ”‚ โ”‚ โ”‚ 91", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:3hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "49dbc123ddb29653", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 5382, "url": "https://github.com/microsoft/autogen/issues/5382", "title": "using LocalCommandLineCodeExecutor", "created_at": "2025-02-05T18:51:32Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "0.2", 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Change max_empty_consecutive_chunk_tolerance to increase empty chunk tolerance", "created_at": "2025-02-17T19:00:37Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 2563, "A_failure_type": "A2_tool_integration", "A_confidence": 0.903, "A_evidence": "y chunk tolerance ``` ### What did you expect to happen? 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GetCoreSchemaHandler) -", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:2hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6f2401319d1a09b6", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 7201, "url": "https://github.com/microsoft/autogen/issues/7201", "title": "OpenAIChatCompletionClient fails with Enum-based Structured Outputs on DeepSeek-Chat", "created_at": "2026-02-02T05:10:26Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "needs-triage", "body_len": 4928, "A_failure_type": "A6_data_structure", "A_confidence": 0.914, "A_evidence": "roduce** Execute the following code ```py from enum import Enum from pydantic import BaseModel, Field from autogen_agentchat.agents import Assista", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e13e9d3d68857a32", "framework": "AutoGen", "repo": "microsoft/autogen", "issue_number": 7418, "url": "https://github.com/microsoft/autogen/issues/7418", "title": "extra_body in OpenAIChatCompletionClient config is silently ignored when loaded via AutoGen Studio JSON", "created_at": "2026-03-17T19:23:13Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "needs-triage", "body_len": 4798, "A_failure_type": "A7_configuration", 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"reactions": 1, "labels": "no-issue-activity", "body_len": 2084, "A_failure_type": "A6_data_structure", "A_confidence": 0.759, "A_evidence": "e 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for ChatOpenAI __root__ Did not find openai_api_", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A4_communication:1hits;A:A6_data_structure:3hits;A:A7_configuration:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f1e7019b58a90bb2", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 262, "url": "https://github.com/crewAIInc/crewAI/issues/262", "title": "IndexError: list index out of range with CrewAI", "created_at": "2024-02-21T04:03:40Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 5686, "A_failure_type": "A2_tool_integration", "A_confidence": 0.604, "A_evidence": "s-main\\\\stock_analysis\\\\tools\\\\chroma_store\\\\\" ) vectordb.persist() @tool(\"Get Local Documents\") def search_trend(query): \"\"\" Useful to searc", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B10_unknown", "B_confidence": 0.76, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0f278a887377a1ad", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 263, "url": "https://github.com/crewAIInc/crewAI/issues/263", "title": "Hierarchical Process ends 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"not_planned", "comments": 7, "reactions": 0, "labels": "no-issue-activity", "body_len": 5735, "A_failure_type": "A7_configuration", "A_confidence": 0.697, "A_evidence": ": Error installing on Ubuntu 22.04, missing C++ at least v11 SOLVED: pip install crewai has an error due to missing C++ version 11 compiler: ---------", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e82410b75f5f7650", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 502, "url": "https://github.com/crewAIInc/crewAI/issues/502", "title": "[Errno 30] Read-only file system error when using AWS Lambda", "created_at": "2024-04-23T16:44:04Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 4, "labels": "", "body_len": 3275, "A_failure_type": "A7_configuration", "A_confidence": 0.568, "A_evidence": "to create a directory there. To resolve this issue, you can add new env variable which will let users define the directory. This will ensure comp", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "baeea2a7b4336dea", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 511, "url": "https://github.com/crewAIInc/crewAI/issues/511", "title": "openai.NotFoundError: Error code: 404", "created_at": "2024-04-25T07:01:01Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "no-issue-activity", "body_len": 5833, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3632fa82851aab33", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 512, "url": "https://github.com/crewAIInc/crewAI/issues/512", "title": "example code sometimes runs into error", "created_at": "2024-04-25T09:25:22Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "no-issue-activity", "body_len": 4459, "A_failure_type": "A4_communication", "A_confidence": 0.772, "A_evidence": "sidering their pros and cons as well as any potential risks. Action: Delegate work to co-worker Action Input: { \"coworker\": \"Writer\", \"task\": \"Sear", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "862f9c901d7ee3be", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 534, "url": "https://github.com/crewAIInc/crewAI/issues/534", "title": "undocumented sqlite3 dependency", "created_at": "2024-04-29T13:08:07Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 19, "reactions": 1, "labels": "no-issue-activity;Investigating", "body_len": 3272, "A_failure_type": "A7_configuration", "A_confidence": 0.587, "A_evidence": "Install any needed Python packages 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################################### error ValidationError Traceback (most recent call last) Cell In[26], line 31 11 llm = Chat", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "96a33b19317c191c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 565, "url": "https://github.com/crewAIInc/crewAI/issues/565", "title": "The getting started code is failing while running", "created_at": "2024-05-04T19:42:16Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 4596, "A_failure_type": "A6_data_structure", "A_confidence": 0.578, "A_evidence": "vizsatiz/Documents/hub/root-agents/.venv/lib/python3.11/site-packages/pydantic/main.py\", line 176, in __init__ self.__pydantic_validator__.validate", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f94433356009e449", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 573, "url": "https://github.com/crewAIInc/crewAI/issues/573", "title": "TypeError: Cannot instantiate typing.Union - WebsiteSearchTool", "created_at": "2024-05-06T18:32:47Z", "year": 2024, "state": "closed", "state_reason": "completed", 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"A6_data_structure", "A_confidence": 0.584, "A_evidence": "cution=False, context=None, config=None, output_json=None, output_pydantic=None, output_file=None, callback=None, human_input=True, ) fronte", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:4hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "41f6f5a9bffdbbfe", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 613, "url": "https://github.com/crewAIInc/crewAI/issues/613", "title": "Pydantic Error : A non-annotated attribute was detected: `is_crew_class = True` | this is not from my code", "created_at": "2024-05-14T01:22:42Z", "year": 2024, 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just a pydantic issue | pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `base_directory =", "created_at": "2024-05-20T18:48:13Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 2922, "A_failure_type": "A6_data_structure", "A_confidence": 0.885, "A_evidence": "I have two projects both are stuck with just a pydantic issue | pydantic.errors.PydanticUserError: A non-annotated attribute", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e0faab28e6bd46b4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 657, "url": "https://github.com/crewAIInc/crewAI/issues/657", "title": "Can't use a local model in Crew", "created_at": "2024-05-21T09:41:50Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "no-issue-activity", "body_len": 2215, "A_failure_type": "A6_data_structure", "A_confidence": 0.776, "A_evidence": "------------------------------------------------------------------- > ValidationError Traceback (most recent call last) > ~\\AppData\\Local\\Temp\\ipykernel_14", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:2hits;A:A6_data_structure:3hits;A:A7_configuration:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ae332aa282391f58", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 661, "url": "https://github.com/crewAIInc/crewAI/issues/661", "title": "Crewai Library Failing", "created_at": "2024-05-21T13:02:10Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "no-issue-activity", "body_len": 4760, "A_failure_type": "A3_compatibility", "A_confidence": 0.708, "A_evidence": "e 192, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": 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"issue_number": 669, "url": "https://github.com/crewAIInc/crewAI/issues/669", "title": "NotFoundError: 404 page not found with `result = crew.kickoff(inputs={'topic': 'AI in healthcare'})`", "created_at": "2024-05-22T05:41:33Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 9371, "A_failure_type": "A8_performance", "A_confidence": 0.661, "A_evidence": "sions, encoding_format, user, extra_headers, extra_query, extra_body, timeout) 108 embedding.embedding = np.frombuffer( # type: ignore[no-untyped-", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6580dfba1ca11d54", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 682, "url": "https://github.com/crewAIInc/crewAI/issues/682", "title": "OperationalError: table ec_chat_history already exists", "created_at": "2024-05-23T12:45:39Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.69, "A_evidence": "ng install-guide at https://docs.crewai.com/how-to/Installing-CrewAI/ pip installed crewAI into a virtualenv with python 3.11 on Ubuntu, Step 2) Follo", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6367334f9f1ee5ac", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 684, "url": "https://github.com/crewAIInc/crewAI/issues/684", "title": "Using `Task.output_json` is throwing TypeError", "created_at": "2024-05-24T09:43:36Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 1, "labels": "no-issue-activity", "body_len": 8315, "A_failure_type": "A3_compatibility", "A_confidence": 0.684, "A_evidence": "Using `Task.output_json` is throwing TypeError", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1e398154d865b9ea", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 685, "url": "https://github.com/crewAIInc/crewAI/issues/685", "title": "running crew with Crew parametar memory = True and local ollama LLM raises openai.AuthenticationError:", "created_at": "2024-05-24T21:09:31Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "no-issue-activity", "body_len": 4552, "A_failure_type": "A4_communication", "A_confidence": 0.614, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "15b967b1d4e05f8c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 690, "url": "https://github.com/crewAIInc/crewAI/issues/690", "title": "While executing multiagent system using CrewAI encounter \"list index out of range\" error", "created_at": "2024-05-26T10:31:35Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "", "body_len": 12000, "A_failure_type": "A4_communication", "A_confidence": 0.788, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1973fa2c3ed45adb", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 703, "url": "https://github.com/crewAIInc/crewAI/issues/703", "title": "Error (i think a timeout error) using ChatGPT-4o via Azure.", "created_at": "2024-05-28T09:57:18Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 1, "labels": "no-issue-activity", "body_len": 6330, "A_failure_type": "A8_performance", "A_confidence": 0.804, "A_evidence": "Error (i think a timeout error) using ChatGPT-4o via Azure.", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8ee76024ad4d0c98", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 713, "url": "https://github.com/crewAIInc/crewAI/issues/713", "title": "UnicodeEncodeError: 'charmap' codec can't encode characters in position 186-192: character maps to ", "created_at": "2024-05-29T23:02:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 783, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1ee8e9a23f10ff2f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 740, "url": "https://github.com/crewAIInc/crewAI/issues/740", "title": "ModuleNotFoundError: No module named 'crewai_tools'", "created_at": "2024-06-07T19:48:35Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 4246, "A_failure_type": "A3_compatibility", "A_confidence": 0.699, "A_evidence": "ModuleNotFoundError: No module named 'crewai_tools'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A4_communication:2hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "82f0c81ed34e587c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 751, "url": "https://github.com/crewAIInc/crewAI/issues/751", "title": "Importing Error when importing Dispatcher", "created_at": "2024-06-10T22:28:01Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 319, "A_failure_type": "A3_compatibility", "A_confidence": 0.879, "A_evidence": "recent call last): File \"\", line 1, in ImportError: cannot import name 'Dispatcher' from 'crewai' (/Library/Frameworks/Python.framework/Vers", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "15177aed192e9986", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 755, "url": "https://github.com/crewAIInc/crewAI/issues/755", "title": "UnicodeEncodeError when running crew.kickoff", "created_at": "2024-06-11T13:30:27Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.664, "A_evidence": "following command to install crewai, per the course instructions:** !pip install crewai==0.28.8 crewai_tools==0.1.6 langchain_community==0.0.29 **Bel", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:1hits;A:A7_configuration:2hits;EXC:outputparserexception->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "61dfe31afa0485ef", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 771, "url": "https://github.com/crewAIInc/crewAI/issues/771", "title": "[Vertex AI - Gemini]: AttributeError: 'int' object has no attribute 'name'", "created_at": "2024-06-13T15:51:36Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.861, "A_evidence": "[Vertex AI - Gemini]: AttributeError: 'int' object has no attribute 'name'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.74, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:5hits;A:A4_communication:1hits;A:A5_context_memory:1hits;EXC:outputparserexception->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1e302f0bd3cb0b36", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 778, "url": "https://github.com/crewAIInc/crewAI/issues/778", "title": "Local LLM and memory=True Error", "created_at": "2024-06-17T01:52:46Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "no-issue-activity", "body_len": 4192, "A_failure_type": "A8_performance", "A_confidence": 0.706, "A_evidence": "bug(\"Encountered Exception\", exc_info=True) APITimeoutError: Request timed out.", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4753df6c22f506cb", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 779, "url": "https://github.com/crewAIInc/crewAI/issues/779", "title": "Local LLM and memory=True Error", "created_at": "2024-06-17T01:57:27Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 2255, "A_failure_type": "A8_performance", "A_confidence": 0.706, "A_evidence": "bug(\"Encountered Exception\", exc_info=True) APITimeoutError: Request timed out. ```", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "755bba034bd16420", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 783, "url": "https://github.com/crewAIInc/crewAI/issues/783", "title": "error when using a Groq LLM in a CrewAI setting", "created_at": "2024-06-17T16:16:54Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "no-issue-activity", "body_len": 954, "A_failure_type": "A1_functionality", "A_confidence": 0.785, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3a407bfc26a3d8c9", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 794, "url": "https://github.com/crewAIInc/crewAI/issues/794", "title": "AuthenticationError: Configuring Memory for a Crew with Azure OpenAI embeddings", "created_at": "2024-06-19T15:27:22Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "no-issue-activity", "body_len": 7195, "A_failure_type": "A1_functionality", "A_confidence": 0.621, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "04750c40f86e2113", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 795, "url": "https://github.com/crewAIInc/crewAI/issues/795", "title": "How to let an agent to read a json file", "created_at": "2024-06-19T17:37:21Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "no-issue-activity", "body_len": 2421, "A_failure_type": "A3_compatibility", "A_confidence": 0.866, "A_evidence": "gent.allow_delegation: # type: ignore # Item \"None\" of \"Agent | None\" has no attribute \"allow_delegation\" AttributeError: 'NoneType' object has no attribute", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ed8055bd690ab0c5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 806, "url": "https://github.com/crewAIInc/crewAI/issues/806", "title": "Using openAI chat.completion as a tool raises openai.APIError: The model produced invalid content. Consider modifying your prompt if you are seeing this error persistently", "created_at": "2024-06-23T09:49:28Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 21, "reactions": 1, "labels": "no-issue-activity", "body_len": 5438, "A_failure_type": "A3_compatibility", "A_confidence": 0.738, "A_evidence": "e 192, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "91c7adccf7223e01", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 815, "url": "https://github.com/crewAIInc/crewAI/issues/815", "title": "Not able to setup a custom tool KeyError: 'tools'", "created_at": "2024-06-26T03:56:08Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "no-issue-activity", "body_len": 5153, "A_failure_type": "A6_data_structure", "A_confidence": 0.586, "A_evidence": "me/runner/crew-AI-llamaindex/.pythonlibs/lib/python3.10/site-packages/pydantic/main.py\", line 176, in __init__ self.__pydantic_validator__.validate", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;A:A9_safety:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "18de54cbfc72825f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 817, "url": "https://github.com/crewAIInc/crewAI/issues/817", "title": "AzureOpenAI bind issue with crewai", "created_at": "2024-06-26T16:14:32Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "no-issue-activity", "body_len": 6402, "A_failure_type": "A3_compatibility", "A_confidence": 0.588, "A_evidence": "(stop=stop_words) ^^^^^^^^^^^^^ AttributeError: 'AzureOpenAI' object has no attribute 'bind' I think, The error I encountered is due to the AzureOpenAI c", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B10_unknown", "B_confidence": 0.76, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7e240ac7e456d7ee", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 851, "url": "https://github.com/crewAIInc/crewAI/issues/851", "title": "'generator' object does not support the context manager protocol", "created_at": "2024-07-02T10:08:41Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 9, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 6218, "A_failure_type": "A3_compatibility", "A_confidence": 0.635, "A_evidence": "e 135, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:2hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e7ef39b99206bbed", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 879, "url": "https://github.com/crewAIInc/crewAI/issues/879", "title": "BUG while using GEMINI from google as an llm in the agent", "created_at": "2024-07-06T05:14:04Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "bug", "body_len": 4100, "A_failure_type": "A6_data_structure", "A_confidence": 0.659, "A_evidence": "e 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for ChatOpenAI __root__ Did not find openai_api_", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "19bb27aed9864ab4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 884, "url": "https://github.com/crewAIInc/crewAI/issues/884", "title": "converting training_data to trained_agents_data error", "created_at": "2024-07-06T21:50:30Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 10, "reactions": 2, "labels": "no-issue-activity", "body_len": 1112, "A_failure_type": "A3_compatibility", "A_confidence": 0.851, "A_evidence": "del_dump() ^^^^^^^^^^^^^^^^^ AttributeError: 'ConverterError' object has no attribute 'model_dump' I think this has something with the content of the trai", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e7e681cc34008450", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 904, "url": "https://github.com/crewAIInc/crewAI/issues/904", "title": "AttributeError: 'Client' object has no attribute 'llm_tracker'", "created_at": "2024-07-09T20:27:15Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 15, "reactions": 1, "labels": "no-issue-activity", "body_len": 2810, "A_failure_type": "A3_compatibility", "A_confidence": 0.761, "A_evidence": "AttributeError: 'Client' object has no attribute 'llm_tracker'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "377dafaf176b7415", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 905, "url": "https://github.com/crewAIInc/crewAI/issues/905", "title": "ModuleNotFoundError: No module named 'crewai'", "created_at": "2024-07-09T22:48:59Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "no-issue-activity", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.696, "A_evidence": "ModuleNotFoundError: No module named 'crewai'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dee285a163866cda", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 909, "url": "https://github.com/crewAIInc/crewAI/issues/909", "title": "Unexpected Exception: Manager agent should not have tools", "created_at": "2024-07-10T12:22:03Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 4, "labels": "no-issue-activity", "body_len": 1141, "A_failure_type": "A4_communication", "A_confidence": 0.846, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1eca4205db6a0b20", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 935, "url": "https://github.com/crewAIInc/crewAI/issues/935", "title": "CSVSearch Tool", "created_at": "2024-07-15T05:34:03Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "no-issue-activity", "body_len": 2658, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dc13cffd2fdc5914", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 937, "url": "https://github.com/crewAIInc/crewAI/issues/937", "title": "Pydantic errors with the Task object", "created_at": "2024-07-15T08:20:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4504, "A_failure_type": "A6_data_structure", "A_confidence": 0.919, "A_evidence": "Pydantic errors with the Task object", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b3f06c3a37bde99e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 968, "url": "https://github.com/crewAIInc/crewAI/issues/968", "title": "crew planning - AttributeError: 'TaskOutput' object has no attribute 'list_of_plans_per_task'", "created_at": "2024-07-20T08:41:55Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 857, "A_failure_type": "A3_compatibility", "A_confidence": 0.704, "A_evidence": "crew planning - AttributeError: 'TaskOutput' object has no attribute 'list_of_plans_per_task'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8b0d322f6b91f094", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 973, "url": "https://github.com/crewAIInc/crewAI/issues/973", "title": "Pydantic gives ValidationError for built-in CrewAI variable 'expected_output'", "created_at": "2024-07-21T02:51:42Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "no-issue-activity", "body_len": 3169, "A_failure_type": "A6_data_structure", "A_confidence": 0.86, "A_evidence": "Pydantic gives ValidationError for built-in CrewAI variable 'expected_output'", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:3hits;A:A7_configuration:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "323f92331aa4815b", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1013, "url": "https://github.com/crewAIInc/crewAI/issues/1013", "title": "Newly created project without edit has many issues", "created_at": "2024-07-27T11:12:48Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "no-issue-activity", "body_len": 7094, "A_failure_type": "A3_compatibility", "A_confidence": 0.738, "A_evidence": "e 144, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b58c67ed882d79f0", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1022, "url": "https://github.com/crewAIInc/crewAI/issues/1022", "title": "Guys, Why are telemetry being sent to telemetry.crewai.com, and why 2 hours ago did this start happening braking my functional app?", "created_at": "2024-07-29T13:31:00Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 17, "reactions": 0, "labels": "", "body_len": 4720, "A_failure_type": "A8_performance", "A_confidence": 0.884, "A_evidence": "1F48498C6D0>, 'Connection to telemetry.crewai.com timed out. (connect timeout=30)') During handling of the above exception, another exception occu", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits;A:A8_performance:3hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "98533822c9df394d", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1023, "url": "https://github.com/crewAIInc/crewAI/issues/1023", "title": "Telemetry - Traceback (most recent call last) Errors", "created_at": "2024-07-29T14:06:48Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "no-issue-activity", "body_len": 8321, "A_failure_type": "A3_compatibility", "A_confidence": 0.845, "A_evidence": "e 134, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.676, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4f57a285287dce3e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1034, "url": "https://github.com/crewAIInc/crewAI/issues/1034", "title": "Crewai train does not work show error", "created_at": "2024-07-30T07:31:08Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 318, "A_failure_type": "A3_compatibility", "A_confidence": 0.676, "A_evidence": ", line 1, in AttributeError: module 'match_to_proposal.main' has no attribute 'train' An error occurred while training the crew: Command '['poetry'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1be3686db5604a4e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1045, "url": "https://github.com/crewAIInc/crewAI/issues/1045", "title": "Importing the libraries for CrewAI fails", "created_at": "2024-08-01T16:57:40Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 1185, "A_failure_type": "A3_compatibility", "A_confidence": 0.778, "A_evidence": "ontroller _timer: threading.Timer | None = PrivateAttr(default=None) TypeError: unsupported operand type(s) for |: 'type' and 'NoneType' ```", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3a07ea8387e9ec05", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1050, "url": "https://github.com/crewAIInc/crewAI/issues/1050", "title": "API Connection Error :- CrewAgentExecutor chain does not generate any output", "created_at": "2024-08-02T16:38:52Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 8786, "A_failure_type": "A3_compatibility", "A_confidence": 0.681, "A_evidence": "e 134, in _iter_next_step output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type \"AgentAction | AgentFinish", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e189df223af41f42", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1079, "url": "https://github.com/crewAIInc/crewAI/issues/1079", "title": "Hierarchical process error: Tasks cannot be flagged with async_execution.", "created_at": "2024-08-06T20:14:50Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3539, "A_failure_type": "A6_data_structure", "A_confidence": 0.816, "A_evidence": "^^^^^ File \"/Users/christdoes/anaconda3/lib/python3.12/site-packages/pydantic/main.py\", line 193, in __init__ self.__pydantic_validator__.validate", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e80daf12ae93f8b9", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1164, "url": "https://github.com/crewAIInc/crewAI/issues/1164", "title": "[BUG] Cannot connect to telemetry.crewai.com", "created_at": "2024-08-11T07:05:26Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 17, "reactions": 0, "labels": "bug;no-issue-activity;telemetry", "body_len": 5494, "A_failure_type": "A2_tool_integration", "A_confidence": 0.577, "A_evidence": "n from crewai import Crew, Task, Agent from crewai_tools import tool @tool(\"Add tool\") def add(a: int, b: int) -> int: \"\"\" Adds two numbers to", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.566, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A8_performance:1hits;EXC:connectionerror->A8_performance;EXC:connectionrefused->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7ed3a48d916c6a47", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1210, "url": "https://github.com/crewAIInc/crewAI/issues/1210", "title": "[BUG] ChatOpenAI doesn't work with local LM Studio server", "created_at": "2024-08-19T14:36:49Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 7636, "A_failure_type": "A7_configuration", "A_confidence": 0.57, "A_evidence": "thenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: lm-studio. You can find your API key at https://platform.op", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.626, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c7c8e8d82a8e33ab", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1213, "url": "https://github.com/crewAIInc/crewAI/issues/1213", "title": "[BUG] VertexAI Embeddings used as memory embeddings errors", "created_at": "2024-08-19T16:51:24Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5037, "A_failure_type": "A6_data_structure", "A_confidence": 0.578, "A_evidence": "x-ai-embeddings) on how to use vertex ai embeddings with memory fails pydantic validation. ### Steps to Reproduce create a crew using the code sn", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.623, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2af894ce6b92176c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1231, "url": "https://github.com/crewAIInc/crewAI/issues/1231", "title": "[BUG]when use the Pipeline i got a error", "created_at": "2024-08-21T09:23:28Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5103, "A_failure_type": "A6_data_structure", "A_confidence": 0.69, "A_evidence": ":\\mysdk\\python\\crawai\\singleAgent\\singleAgent\\.venv\\Lib\\site-packages\\pydantic\\functional_validators.py:659: UserWarning: Pydantic serializer warnin", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a7ad0fd53efc9839", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1259, "url": "https://github.com/crewAIInc/crewAI/issues/1259", "title": "[BUG] Langtrace How To guide uses langtrace.trace", "created_at": "2024-08-27T09:36:37Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2325, "A_failure_type": "A3_compatibility", "A_confidence": 0.8, "A_evidence": "--------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[2], line 1 ----> 1 with lan", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0b60c6f2ded0731a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1262, "url": "https://github.com/crewAIInc/crewAI/issues/1262", "title": "[BUG] LlamaIndexTool from tool function is causing failure as 1 validation error for LlamaIndexTool.", "created_at": "2024-08-28T04:42:02Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1718, "A_failure_type": "A6_data_structure", "A_confidence": 0.869, "A_evidence": "[BUG] LlamaIndexTool from tool function is causing failure as 1 validation error for LlamaIndexTool.", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "691322e41db75a61", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1267, "url": "https://github.com/crewAIInc/crewAI/issues/1267", "title": "[BUG] ModuleNotFoundError: No module named 'google.cloud.location'", "created_at": "2024-08-29T15:50:56Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 5087, "A_failure_type": "A3_compatibility", "A_confidence": 0.635, "A_evidence": "[BUG] ModuleNotFoundError: No module named 'google.cloud.location'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.708, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A4_communication:2hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ac5d640dc8430acc", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1270, "url": "https://github.com/crewAIInc/crewAI/issues/1270", "title": "[BUG]UnicodeDecodeError: 'gbk' codec can't decode byte 0xac in position 102: illegal multibyte sequence", "created_at": "2024-08-30T09:19:01Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 4018, "A_failure_type": "A6_data_structure", "A_confidence": 0.774, "A_evidence": "poetry\\Cache\\virtualenvs\\crew-agent-OgCTPeQm-py3.12\\Lib\\site-packages\\pydantic\\_internal\\_config.py:341: UserWarning: Valid config keys have changed", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "06314c93c91b80d4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1296, "url": "https://github.com/crewAIInc/crewAI/issues/1296", "title": "[BUG] Pipelines with Routes - unable to start, documentation is broken", "created_at": "2024-09-05T12:43:02Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1474, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "ff1e745a71e13705", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1314, "url": "https://github.com/crewAIInc/crewAI/issues/1314", "title": "[BUG]: 'AzureOpenAI' object has no attribute 'bind' - CrewAI support requirement", "created_at": "2024-09-10T12:57:58Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 10766, "A_failure_type": "A3_compatibility", "A_confidence": 0.846, "A_evidence": "[BUG]: 'AzureOpenAI' object has no attribute 'bind' - CrewAI support requirement", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "add701a5c66e52ac", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1333, "url": "https://github.com/crewAIInc/crewAI/issues/1333", "title": "[BUG] After upgrading to latest version of crewAI the code doesn't work anymore.", "created_at": "2024-09-17T17:44:05Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 19, "reactions": 0, "labels": "bug", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.487, "A_evidence": "localhost:8080/#) in create(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens,", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.736, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:2hits;A:A8_performance:1hits;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9769fba1ba8ef474", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1353, "url": "https://github.com/crewAIInc/crewAI/issues/1353", "title": "[BUG]Training crew error", "created_at": "2024-09-26T03:03:29Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 12, "reactions": 0, "labels": "bug", "body_len": 2495, "A_failure_type": "A4_communication", "A_confidence": 0.77, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7d3e4e03d9552054", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1361, "url": "https://github.com/crewAIInc/crewAI/issues/1361", "title": "[BUG]Pydantic value error in the latest version", "created_at": "2024-09-27T03:10:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4631, "A_failure_type": "A6_data_structure", "A_confidence": 0.788, "A_evidence": "[BUG]Pydantic value error in the latest version", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.615, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3fcd19445d32b686", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1395, "url": "https://github.com/crewAIInc/crewAI/issues/1395", "title": "[BUG] protobuf discrepancy between CrewAI and crewai-tools", "created_at": "2024-10-04T16:17:38Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3348, "A_failure_type": "A3_compatibility", "A_confidence": 0.807, "A_evidence": "While running the crewai command from the terminal, I encountered a TypeError that suggests the descriptors cannot be created directly. The error m", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6e15e532fbcd9d08", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1397, "url": "https://github.com/crewAIInc/crewAI/issues/1397", "title": "[BUG] API Key Error while Executing Tasks using Groq Model", "created_at": "2024-10-05T10:34:38Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.692, "A_evidence": "[BUG] API Key Error while Executing Tasks using Groq Model", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3d118dec90152899", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1401, "url": "https://github.com/crewAIInc/crewAI/issues/1401", "title": "from crewai import Agent, LLM", "created_at": "2024-10-06T09:19:23Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 11, "reactions": 0, "labels": "no-issue-activity", "body_len": 1149, "A_failure_type": "A3_compatibility", "A_confidence": 0.909, "A_evidence": "Agent, Task, Crew ----> 2 from crewai import Agent, LLM ImportError: cannot import name 'LLM' from 'crewai' (/usr/local/lib/python3.10/dist-packages/crewai/_", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "59be2ce3799a0105", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1404, "url": "https://github.com/crewAIInc/crewAI/issues/1404", "title": "[BUG] OSError: source code not available", "created_at": "2024-10-08T03:09:30Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 8911, "A_failure_type": "A2_tool_integration", "A_confidence": 0.492, "A_evidence": ".environ.get(\"AZURE_OPENAI_KEY\") ) # llm.invoke([\"What is 1+1?\"]) @tool def search_tool(self): return SerperDevTool(n_results=self.num_sour", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.633, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "eda0d9f858ed3024", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1405, "url": "https://github.com/crewAIInc/crewAI/issues/1405", "title": "[BUG] Memory Error", "created_at": "2024-10-08T17:36:45Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.512, "A_evidence": "thenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: fake. You can find your API key at https://platform.openai.", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.626, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bff7cc3150663cc3", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1407, "url": "https://github.com/crewAIInc/crewAI/issues/1407", "title": "[BUG] Open Source Homepage Example", "created_at": "2024-10-08T22:52:37Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 5947, "A_failure_type": "A6_data_structure", "A_confidence": 0.758, "A_evidence": ": main() ``` and you get an error ``` pydantic_core._pydantic_core.ValidationError: 1 validation error for Crew Sequential process error: Agent is miss", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "89f07ef10b145b11", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1419, "url": "https://github.com/crewAIInc/crewAI/issues/1419", "title": "[BUG] Getting error when CrewAI memory is set to True", "created_at": "2024-10-10T10:23:29Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 7847, "A_failure_type": "A8_performance", "A_confidence": 0.52, "A_evidence": "225, in makedirs(name, mode, exist_ok) OSError: [Errno 63] File name too long: ### Steps to Reproduce The code snippet and associated problem st", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:3hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dee50c5658127b1a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1421, "url": "https://github.com/crewAIInc/crewAI/issues/1421", "title": "[BUG] CrewAI course: Automating Event Planning lab is broken.", "created_at": "2024-10-10T12:38:50Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1501, "A_failure_type": "A6_data_structure", "A_confidence": 0.826, "A_evidence": "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pydantic_core._pydantic_core.ValidationError: 1 validation error for Crew The crew must end with at most one asyn", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8a9071fe261d59e5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1456, "url": "https://github.com/crewAIInc/crewAI/issues/1456", "title": "Problem using proxy openai", "created_at": "2024-10-16T13:55:44Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 12000, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.663, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0baa2225899d3aed", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1466, "url": "https://github.com/crewAIInc/crewAI/issues/1466", "title": "[BUG] Setting up a manager agent using local Ollama LLMs.", "created_at": "2024-10-18T11:11:05Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 8325, "A_failure_type": "A3_compatibility", "A_confidence": 0.559, "A_evidence": "config = values.get(\"config\", {}) AttributeError: 'function' object has no attribute 'get' An error occurred while running the crew: Command '['poetry', '", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:3hits;A:A4_communication:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": 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"https://github.com/crewAIInc/crewAI/issues/1665", "title": "[BUG] Train an Agent on a different LLM than GPT4o", "created_at": "2024-11-27T01:31:59Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3499, "A_failure_type": "A7_configuration", "A_confidence": 0.569, "A_evidence": "ing control import warnings warnings.filterwarnings('ignore') # Load environment variables from dotenv import load_dotenv load_dotenv() import os import yaml", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.586, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d296b37e928d9a97", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1677, "url": "https://github.com/crewAIInc/crewAI/issues/1677", "title": "[BUG] LLM configuration defaults to OpenAI despite specifying a different LLM", "created_at": "2024-11-29T19:57:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 2281, "A_failure_type": "A6_data_structure", "A_confidence": 0.571, "A_evidence": "__:537 - WARNING: Overriding of current TracerProvider is not allowed ValidationError Traceback (most recent call last) ValidationError: 1 validation erro", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.633, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c76d4526da1e55ee", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1680, "url": "https://github.com/crewAIInc/crewAI/issues/1680", "title": "[BUG] Missing boto3 dependency when using AWS Bedrock provider", "created_at": "2024-12-01T08:36:08Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 1099, "A_failure_type": "A3_compatibility", "A_confidence": 0.652, "A_evidence": "ndler.py\", line 224, in completion import boto3 ModuleNotFoundError: No module named 'boto3' ### Operating System macOS Sonoma ### Python Version 3.12", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;EXC:connectionerror->A8_performance;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d864dc423e078f38", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1682, "url": "https://github.com/crewAIInc/crewAI/issues/1682", "title": "[BUG] KeyError: 'key_name' during crewAI execution", "created_at": "2024-12-01T15:47:47Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 4483, "A_failure_type": "A6_data_structure", "A_confidence": 0.584, "A_evidence": 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"B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.642, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2000237447d31ecf", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1787, "url": "https://github.com/crewAIInc/crewAI/issues/1787", "title": "[BUG] TypeError: unhashable type: 'dict' in Delegate Tool", "created_at": "2024-12-19T17:00:57Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 14, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 1451, "A_failure_type": "A2_tool_integration", "A_confidence": 0.425, "A_evidence": "e753d8b2e097c3baaf1d90d473d3/src/crewai/task.py#L320 in crewai\\tools\\tool_usage.py(159)_use() https://github.com/crewAIInc/crewAI/blob/627b9f1abb3de7", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4d45ef467342f9f5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1841, "url": "https://github.com/crewAIInc/crewAI/issues/1841", "title": "[BUG] Cant install crewai, Your system has an unsupported version of sqlite3", "created_at": "2025-01-02T20:16:16Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 4, "labels": "bug;no-issue-activity", "body_len": 3871, "A_failure_type": "A7_configuration", "A_confidence": 0.638, "A_evidence": "Dockerfile ```Dockerfile FROM python:3.12-bullseye WORKDIR /app RUN pip install --upgrade pip RUN pip install crewai crewai-tools CMD [\"sleep\", \"inf", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bc133a1af0fa6dfc", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1849, "url": "https://github.com/crewAIInc/crewAI/issues/1849", "title": "[BUG] AttributeError: 'list' object has no attribute 'get'", "created_at": "2025-01-04T04:01:47Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 9, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3291, "A_failure_type": "A3_compatibility", "A_confidence": 0.715, "A_evidence": "[BUG] AttributeError: 'list' object has no attribute 'get'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b94004ccb1366da2", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1851, "url": "https://github.com/crewAIInc/crewAI/issues/1851", "title": "[BUG] \"Exception: Manager agent should not have tools\" - when used in a flow and hierarchical crew , when using a for loop to process multiple outputs from a previous crew", "created_at": "2025-01-04T23:46:33Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3877, "A_failure_type": "A4_communication", "A_confidence": 0.73, "A_evidence": "ems the first time agent tools are set to [] but subsequent times the delegation tool and ask question tools are already assigned and thus fails. ###", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b1d675d7aed33411", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1854, "url": "https://github.com/crewAIInc/crewAI/issues/1854", "title": "[BUG] - self.llm.call CrewAgentExecutor takes in OPENAI KEY not ANTHROPIC_API_KEY. On windows machine.", "created_at": "2025-01-05T14:21:02Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 10851, "A_failure_type": "A7_configuration", "A_confidence": 0.723, "A_evidence": "ion_error\",\"message\":\"invalid x-api-key\"}}``` as it passes the wrong API key. Odd behaviour. Could just be me. I believe it has something to do w", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.695, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7cecd68ad5925ee5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1859, "url": "https://github.com/crewAIInc/crewAI/issues/1859", "title": "[BUG] Cannot create 'Knowledge'", "created_at": "2025-01-06T19:28:20Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "bug", "body_len": 1932, "A_failure_type": "A3_compatibility", "A_confidence": 0.676, "A_evidence": "per raise type(e)(msg).with_traceback(e.__traceback__) ^^^^^^^^^^^^ TypeError: APIStatusError.__init__() missing 2 required keyword-only arguments:", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "110995a654447b38", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1874, "url": "https://github.com/crewAIInc/crewAI/issues/1874", "title": "[BUG] ModuleNotFoundError: No module named '' when we run code", "created_at": "2025-01-10T03:29:13Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1200, "A_failure_type": "A3_compatibility", "A_confidence": 0.694, "A_evidence": "[BUG] ModuleNotFoundError: No module named '' when we run code", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "962b68d18abce65b", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1894, "url": "https://github.com/crewAIInc/crewAI/issues/1894", "title": "[BUG] Markdown Knowledge Sub-Module not working", "created_at": "2025-01-14T20:50:00Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 7514, "A_failure_type": "A6_data_structure", "A_confidence": 0.622, "A_evidence": "thubRepos\\aei_agent_exploration\\crewai\\search\\.venv\\Lib\\site-packages\\pydantic\\main.py\", line 214, in __init__ validated_self = self.__pydantic_val", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "60add4c00c6a34a7", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1897, "url": "https://github.com/crewAIInc/crewAI/issues/1897", "title": "AttributeError: 'str' object has no attribute 'get'", "created_at": "2025-01-15T11:08:56Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 2, "labels": "bug;no-issue-activity", "body_len": 2829, "A_failure_type": "A3_compatibility", "A_confidence": 0.778, "A_evidence": "AttributeError: 'str' object has no attribute 'get'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f6d65261aeda7154", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 1916, "url": "https://github.com/crewAIInc/crewAI/issues/1916", "title": "[BUG] Cannot Train agents when using any knowledge source.", "created_at": "2025-01-17T16:59:50Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2355, "A_failure_type": "A6_data_structure", "A_confidence": 0.585, "A_evidence": "gents just fine. When I add knowledge sources of type JSON I do get a pydantic error from a dependency that I cannot fix. 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It seems that despite setting the environment variable CREWAI_STORAGE_DIR='/tmp', the application still attempts to create a", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b6f62242d359a99f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2037, "url": "https://github.com/crewAIInc/crewAI/issues/2037", "title": "ScrapeWebsiteTool - SSLCertVerificationError", "created_at": "2025-02-05T16:11:57Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3085, "A_failure_type": "A8_performance", "A_confidence": 0.827, "A_evidence": "onPool._make_request(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_con", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.652, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3412b11d1d9bb5f9", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2058, "url": "https://github.com/crewAIInc/crewAI/issues/2058", "title": "[BUG] Logging traces to LangSmith fails", "created_at": "2025-02-07T19:08:19Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5288, "A_failure_type": "A7_configuration", "A_confidence": 0.7, "A_evidence": ". Configure LangSmith as the success callback. 2. Configure LangSmith environment variables. 3. Run the crew. ### Expected behavior Crew should execute succes", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.615, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0d1e88e6d5b5bd1e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2062, "url": "https://github.com/crewAIInc/crewAI/issues/2062", "title": "[Question] Use a locally deployed LLM whose service interfaces follow openai's standards.", "created_at": "2025-02-08T01:46:07Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5640, "A_failure_type": "A7_configuration", "A_confidence": 0.512, "A_evidence": "OpenAIException - Error code: 401 - {'error': {'message': 'Incorrect API key provided: None. You can find your API key at https://platform.openai.", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fcb86854d742be2e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2101, "url": "https://github.com/crewAIInc/crewAI/issues/2101", "title": "[BUG] GithubSearchTool validation errors", "created_at": "2025-02-11T20:52:03Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "bug", "body_len": 2761, "A_failure_type": "A6_data_structure", "A_confidence": 0.852, "A_evidence": "[BUG] GithubSearchTool validation errors", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9789a664f6cce5c4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2107, "url": "https://github.com/crewAIInc/crewAI/issues/2107", "title": "[BUG] LLm provider not provided", "created_at": "2025-02-12T10:58:30Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4974, "A_failure_type": "A7_configuration", "A_confidence": 0.774, "A_evidence": "that, LiteLLm doesnt recognise the provider. ### Steps to Reproduce pip install of the library. Create and agent. Execute a task when crew calls lite", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4090e1966fea967a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2120, "url": "https://github.com/crewAIInc/crewAI/issues/2120", "title": "[BUG] Flow using v0.102.0 throws \"cannot pickle '_thread.RLock' object\"", "created_at": "2025-02-13T11:57:38Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 6625, "A_failure_type": "A3_compatibility", "A_confidence": 0.724, "A_evidence": "t works perfectly with `0.100.1` and below. I'm using python 3.12.8 `TypeError: cannot pickle '_thread.RLock' object` If it helps, I'm doing this i", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3a78237d70be321b", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2127, "url": "https://github.com/crewAIInc/crewAI/issues/2127", "title": "[BUG] TypeError: 'WebDriver' object is not callable", "created_at": "2025-02-14T08:25:10Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 1, "labels": "bug", "body_len": 4941, "A_failure_type": "A3_compatibility", "A_confidence": 0.74, "A_evidence": "[BUG] TypeError: 'WebDriver' object is not callable", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "59132d3da39d680c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2131, "url": "https://github.com/crewAIInc/crewAI/issues/2131", "title": "[BUG] Training fails due to 'Manager agent should not have tools'", "created_at": "2025-02-14T20:05:53Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 1381, "A_failure_type": "A4_communication", "A_confidence": 0.739, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.663, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1c2193f97de46dbe", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2145, "url": "https://github.com/crewAIInc/crewAI/issues/2145", "title": "[BUG] Interpolation of inputs is failing when tool descriptions are added to agent backstory (same would apply to goal, role, description, etc.)", "created_at": "2025-02-16T05:23:27Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2716, "A_failure_type": "A2_tool_integration", "A_confidence": 0.55, "A_evidence": "[BUG] Interpolation of inputs is 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"A6_data_structure", "A_confidence": 0.57, "A_evidence": "alidate_python(data, self_instance=self) pydantic_core._pydantic_core.ValidationError: 1 validation error for Agent Value error, Invalid Knowledge Configu", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.605, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:3hits;A:A9_safety:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7db0b3abb476a319", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2197, "url": "https://github.com/crewAIInc/crewAI/issues/2197", "title": "[BUG]TypeError: unsupported operand type(s) for +=: 'int' and 'NoneType'", "created_at": "2025-02-22T01:24:31Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 10218, "A_failure_type": "A3_compatibility", "A_confidence": 0.869, "A_evidence": "[BUG]TypeError: unsupported operand type(s) for +=: 'int' and 'NoneType'", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a675daf251a72501", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2219, "url": "https://github.com/crewAIInc/crewAI/issues/2219", "title": "[BUG] Cannot kickoff a simple test crew", "created_at": "2025-02-25T13:02:42Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "bug", "body_len": 4136, "A_failure_type": "A3_compatibility", "A_confidence": 0.557, "A_evidence": "0 if not config: 21 return values AttributeError: 'function' object has no attribute 'get' ``` ### Possible Solution It would seem that `process_config`", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "afddee6abba2d661", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2220, "url": "https://github.com/crewAIInc/crewAI/issues/2220", "title": "Getting error \"litellm.BadRequestError: LLM Provider\" for all LLM models", "created_at": "2025-02-25T13:18:22Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug", "body_len": 7626, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "727fffd44cd969df", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2271, "url": "https://github.com/crewAIInc/crewAI/issues/2271", "title": "[BUG] failed to start a new CrewAI project after clean installation", "created_at": "2025-03-04T07:15:21Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 2219, "A_failure_type": "A7_configuration", "A_confidence": 0.635, "A_evidence": "evcontainer in vscode on MAC intel (python 3.12.8) 2. install crewai: pip install crewai 3. create new crewai project: crewai create crew latest-ai-dev", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "faa43ef5d51a4af0", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2323, "url": "https://github.com/crewAIInc/crewAI/issues/2323", "title": "[BUG] Expected `thinking` or `redacted_thinking`, but found `text` when using Claude Sonnet 3.7 Thinking", "created_at": "2025-03-11T01:07:53Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "bug", "body_len": 10074, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.663, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a2936df42c65740d", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2330, "url": "https://github.com/crewAIInc/crewAI/issues/2330", "title": "[BUG]Keyerror when specifying function_calling_llm in agents.yaml", "created_at": "2025-03-11T08:33:36Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 6102, "A_failure_type": "A6_data_structure", "A_confidence": 0.716, "A_evidence": "wBase, agent, crew, task, tool from crewai.tools import BaseTool from pydantic import BaseModel, Field warnings.filterwarnings(\"ignore\", category=S", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "016dc3c91588dd4b", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2356, "url": "https://github.com/crewAIInc/crewAI/issues/2356", "title": "[BUG] Code error in first-flow.mdx documentation", "created_at": "2025-03-13T04:48:25Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4625, "A_failure_type": "A3_compatibility", "A_confidence": 0.656, "A_evidence": "alues.get(\"config\", {}) ^^^^^^^^^^ AttributeError: 'function' object has no attribute 'get' ### Screenshots/Code snippets Change this code in content_cre", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"A7_configuration", "A_confidence": 0.742, "A_evidence": "l works perfectly if the gemini/model-name identifier and the correct API key are used, isolating the issue to the interaction within CrewAI when t", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.747, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2d92011515a63aa2", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2687, "url": "https://github.com/crewAIInc/crewAI/issues/2687", "title": "[BUG] FAIL from crewai_tools import FileWriterTool", "created_at": "2025-04-25T16:50:48Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 2829, "A_failure_type": "A3_compatibility", "A_confidence": 0.586, "A_evidence": "el, Field 6 from ..rag.rag_tool import RagTool ModuleNotFoundError: No module named 'embedchain' ### Operating System Ubuntu 22.04 ### Python Version", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3d87d4bf022d8484", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2708, "url": "https://github.com/crewAIInc/crewAI/issues/2708", "title": "[BUG] UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1980", "created_at": "2025-04-28T20:44:51Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 12, "reactions": 2, "labels": "bug", "body_len": 4961, "A_failure_type": "A3_compatibility", "A_confidence": 0.739, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.677, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ed098b2b72519459", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2715, "url": "https://github.com/crewAIInc/crewAI/issues/2715", "title": "[BUG] UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1980: character maps to 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"2025-04-30T11:41:18Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 15, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 11025, "A_failure_type": "A7_configuration", "A_confidence": 0.638, "A_evidence": "```bash uv tool install crewai==0.117.0 ``` - Obtain an OpenRouter API key and set it as an environment variable: ```bash export OPENROUTER_AP", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.618, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f079890ee6598921", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2740, "url": "https://github.com/crewAIInc/crewAI/issues/2740", "title": "[BUG] IndexError: list index out of range in ollama_pt() when messages list is empty or malformed", "created_at": "2025-05-02T07:54:49Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 6837, "A_failure_type": "A2_tool_integration", "A_confidence": 0.65, "A_evidence": "lm_core_utils\\\\prompt_templates\\\\factory.py\", line 229, in ollama_pt tool_calls = messages[msg_i].get(\"tool_calls\") IndexError: list index out of ran", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A9_safety:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3abba8a062f9eeee", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2744, "url": "https://github.com/crewAIInc/crewAI/issues/2744", "title": "[BUG] IndexError in litellm when CrewAI Agent with Tools uses Ollama/Qwen", "created_at": "2025-05-03T01:45:48Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 5216, "A_failure_type": "A2_tool_integration", "A_confidence": 0.758, "A_evidence": "templates/factory.py` when attempting to access `messages[msg_i].get(\"tool_calls\")`, suggesting an incompatibility in how the message history (includi", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:2hits;A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "41a7e07841f4a332", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2771, "url": "https://github.com/crewAIInc/crewAI/issues/2771", "title": "[BUG] crewai reset-memories -a fails", "created_at": "2025-05-07T07:06:00Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 1223, "A_failure_type": "A3_compatibility", "A_confidence": 0.862, "A_evidence": "ry is cleared ### Screenshots/Code snippets Error executing module: No module named 'crewai.telemtry' Traceback: Traceback (most recent call last): File", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": 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"B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "799be499b742cc13", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2843, "url": "https://github.com/crewAIInc/crewAI/issues/2843", "title": "[BUG] o3 is giving a stop message in crewai, version 0.120.1", "created_at": "2025-05-15T16:32:03Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 14, "reactions": 0, "labels": "bug", "body_len": 11724, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cc5e4cead8938b3f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2846, "url": "https://github.com/crewAIInc/crewAI/issues/2846", "title": "[BUG] error about installing onnxruntime", "created_at": "2025-05-15T17:33:31Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.614, "A_evidence": "58. xai q. Quit Enter the number of your choice or 'q' to quit: 18 No API keys provided. Skipping .env file creation. Selected model: N/A - Create", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:2hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6ccbae330a8a5322", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2867, "url": "https://github.com/crewAIInc/crewAI/issues/2867", "title": "[BUG] Ollama (gemma3) for MySQL RAG tool (embedding problems)", "created_at": "2025-05-20T13:30:50Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 14, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3904, "A_failure_type": "A3_compatibility", "A_confidence": 0.748, "A_evidence": "p_loader import mysql.connector as sqlconnector ModuleNotFoundError: No module named 'mysql' The above exception was the direct cause of the following ex", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.6, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:6hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d4b8dfc968cf0400", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2873, "url": "https://github.com/crewAIInc/crewAI/issues/2873", "title": "[BUG] IndexError: list index out of range", "created_at": "2025-05-21T08:06:31Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 10192, "A_failure_type": "A2_tool_integration", "A_confidence": 0.739, "A_evidence": "lm_core_utils\\prompt_templates\\factory.py\", line 229, in ollama_pt โ”‚โ”‚ tool_calls = messages[msg_i].get(\"tool_calls\") โ”‚โ”‚ ~~~~~~~~^^^^^^^ โ”‚โ”‚ IndexError:", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c96bce65dc488017", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2885, "url": "https://github.com/crewAIInc/crewAI/issues/2885", "title": "[BUG] Invalid response from LLM call - None or empty.", "created_at": "2025-05-22T10:01:19Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 59, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 6586, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "72c164bec581338e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2932, "url": "https://github.com/crewAIInc/crewAI/issues/2932", "title": "[BUG] CrewAI is not working with Ollama", "created_at": "2025-06-02T09:39:16Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 15, "reactions": 0, "labels": "bug", "body_len": 7343, "A_failure_type": "A1_functionality", "A_confidence": 0.729, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3408df9c455c4c8c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 2968, "url": "https://github.com/crewAIInc/crewAI/issues/2968", "title": "[BUG] USE `crewai create`, select Azure and fill the fields but has an issue", "created_at": "2025-06-06T04:50:20Z", 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This **breaks server environments** (like FastA", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.569, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:2hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "87b9b86d7888b544", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3176, "url": "https://github.com/crewAIInc/crewAI/issues/3176", "title": "[BUG]crewAI not working with local ollama", "created_at": "2025-07-17T06:35:50Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 16, "reactions": 1, "labels": "bug", "body_len": 7447, "A_failure_type": "A2_tool_integration", "A_confidence": 0.781, "A_evidence": "model, messages=messages) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tool_calls = messages[msg_i].get(\"tool_calls\") ~~~~~~~~^^^^^^^ IndexError: list", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3834e4c97bd93b31", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3226, "url": "https://github.com/crewAIInc/crewAI/issues/3226", "title": "Cannot Register Custom Tools with Agents in CrewAI 0.150.0 โ€“ No Supported Pattern Works", "created_at": "2025-07-27T01:32:33Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3365, "A_failure_type": "A3_compatibility", "A_confidence": 0.553, "A_evidence": "Agent( ..., tools=[FetchLogsTool()], ... ) Error: ImportError: cannot import name 'BaseTool' from 'crewai_tools' ... 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" from openai.types.responses.response import ( ImportError: cannot import name 'ResponseTextConfig' from 'openai.types.responses.response' (/home/cu", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.677, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8b96ba2493500812", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3398, "url": "https://github.com/crewAIInc/crewAI/issues/3398", "title": "[BUG] CrewAI dependency on onnxruntime version 1.22.0 prevents crewAI from running on Windows Sever 2019", "created_at": "2025-08-25T21:35:59Z", "year": 2025, "state": "closed", "state_reason": "not_planned", 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"https://github.com/crewAIInc/crewAI/issues/3466", "title": "[BUG] create_reasoning_plan missing 'ready' parameter", "created_at": "2025-09-06T16:43:19Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 4834, "A_failure_type": "A7_configuration", "A_confidence": 0.592, "A_evidence": "m pydantic import BaseModel, Field import os import sys # Set OpenAI API key (replace with your key or set as environment variable) # os.environ[\"", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.693, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:3hits", "filter_reason": 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[Errno 65] No route to host", "created_at": "2025-09-27T15:09:27Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 6355, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:2hits;EXC:connectionerror->A8_performance;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6ab61c375f5a7f15", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3622, "url": "https://github.com/crewAIInc/crewAI/issues/3622", "title": "[BUG]Unable to use MDXSearchTool with local Ollama LLM โ€” OpenAI API key still required", "created_at": "2025-09-29T16:05:15Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "bug", "body_len": 6017, "A_failure_type": "A7_configuration", "A_confidence": 0.686, "A_evidence": "[BUG]Unable to use MDXSearchTool with local Ollama LLM โ€” OpenAI API key still required", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.626, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:5hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e5de7231b187e902", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3654, "url": "https://github.com/crewAIInc/crewAI/issues/3654", "title": "Bug: Code interpreter docker path broken on macos", "created_at": "2025-10-05T14:49:02Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 1008, "A_failure_type": "A7_configuration", "A_confidence": 0.613, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A7_configuration:2hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "198e57a8a3a748b0", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3659, "url": "https://github.com/crewAIInc/crewAI/issues/3659", "title": "[BUG]Persistent litellm.BadRequestError with Gemini on Windows in a Clean Environment", "created_at": "2025-10-07T13:18:36Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 9335, "A_failure_type": "A7_configuration", "A_confidence": 0.84, "A_evidence": "\") if not GEMINI_API_KEY or not SERPER_API_KEY: print(\"FATAL ERROR: API keys not found.\") exit() gemini_llm = ChatLiteLLM( model=\"google/gemin", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.594, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:5hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5581d1408aaed1ea", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3664, "url": "https://github.com/crewAIInc/crewAI/issues/3664", "title": "[BUG]", "created_at": "2025-10-07T19:26:51Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug", "body_len": 2494, "A_failure_type": "A6_data_structure", "A_confidence": 0.637, "A_evidence": "xceeded` when using OpenAI models through LiteLLM on Python 3.12 with Pydantic 2.12+. ### Steps to Reproduce 1. 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The", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.596, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0a8cff6480f6792f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3708, "url": "https://github.com/crewAIInc/crewAI/issues/3708", "title": "function_calling_llm does not work", "created_at": "2025-10-15T02:49:03Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 939, "A_failure_type": "A1_functionality", "A_confidence": 0.827, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", 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"failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "36f5f81c5a5e368a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3771, "url": "https://github.com/crewAIInc/crewAI/issues/3771", "title": "[BUG] `format_answer()` catches `OutputParserException`, breaking retry logic for malformed LLM outputs", "created_at": "2025-10-22T01:52:23Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3345, "A_failure_type": "A6_data_structure", "A_confidence": 0.881, "A_evidence": "ng fails, return a default AgentFinish return AgentFinish( thought=\"Failed to parse LLM response\", output=answer, text=answer, ``` **Example Malformed", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": 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Args: respect_context_window: Whether to respect context window printer: Printer instance for output messages: List of messages to", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.628, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "885a7cf5d0965d2a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3776, "url": "https://github.com/crewAIInc/crewAI/issues/3776", "title": "[BUG]Canot import name 'PGSearchtool' from 'crewai_tools'", "created_at": "2025-10-22T14:22:09Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "bug", "body_len": 1079, "A_failure_type": "A7_configuration", "A_confidence": 0.815, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "ed1b104808b491a3", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3782, "url": "https://github.com/crewAIInc/crewAI/issues/3782", "title": "[BUG] planning_agentๅˆ›ๅปบ็š„ๆ—ถๅ€™ไธบไป€ไนˆๆฒกๆœ‰ๆŒ‡ๅฎšcrew๏ผŒๅฏผ่‡ดไบ†ๅŽ้ขๆต็จ‹ไธญไฝฟ็”จcrew็š„ๆ—ถๅ€™ๆŠฅ้”™ไบ†", "created_at": "2025-10-23T09:50:44Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 930, "A_failure_type": "A3_compatibility", "A_confidence": 0.822, "A_evidence": "_task_started' failed for event 'TaskStartedEvent': 'NoneType' object has no attribute 'key' ``` ### Steps to Reproduce ๅœจ CrewPlanner._create_planning", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2684e9138e3572e7", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3789, "url": "https://github.com/crewAIInc/crewAI/issues/3789", "title": "[BUG] How can disable tracing prompt?", "created_at": "2025-10-24T17:39:20Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 22, "reactions": 4, "labels": "bug;no-issue-activity", "body_len": 1242, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f34eba2aa01fccdb", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3791, "url": "https://github.com/crewAIInc/crewAI/issues/3791", "title": "[BUG] LLMs using Bedrock Cross Region Inferencing break with 1.20.0. Works fine with 0.193.2.", "created_at": "2025-10-24T18:12:46Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 2521, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.663, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "7dddfd8102af6a13", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3805, "url": "https://github.com/crewAIInc/crewAI/issues/3805", "title": "[BUG]There is issue with generative ai embedder", "created_at": "2025-10-28T05:07:47Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3002, "A_failure_type": "A5_context_memory", "A_confidence": 0.563, "A_evidence": "verbose=True, memory=True, memory_config={ \"short_term\": True, # conversation history \"long_term\": True, # keep disabled (or set True later) \"entity\": Tr", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5789b1a0a4942787", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3807, "url": "https://github.com/crewAIInc/crewAI/issues/3807", "title": "[BUG]After upgrading from 0.203 to 1.0, Anthropic output token always reach max token so the running time is extremely long", "created_at": "2025-10-29T00:12:09Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 1537, "A_failure_type": "A2_tool_integration", "A_confidence": 0.596, "A_evidence": "etting ``` dependencies = [ \"crewai[tools]==0.203.1\", \"crewai-tools[mcp]\", \"pyyaml>=6.0\", ] ``` new setting ``` dependencies = [ \"crewai[an", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.648, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} 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"framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3825, "url": "https://github.com/crewAIInc/crewAI/issues/3825", "title": "[BUG] DirectorySearchTool fails to configure Ollama embedding model due to config format mismatch", "created_at": "2025-11-03T02:21:30Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 4634, "A_failure_type": "A6_data_structure", "A_confidence": 0.725, "A_evidence": "onary instead of the expected configuration. ## Error Message ``` 1 validation error for DirectorySearchTool EMBEDDINGS_OLLAMA_MODEL_NAME Field required", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "86b129ebc798658e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3826, "url": "https://github.com/crewAIInc/crewAI/issues/3826", "title": "[BUG] the verbose information of flow could not be disabled", "created_at": "2025-11-03T08:13:51Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1496, "A_failure_type": "A7_configuration", "A_confidence": 0.828, "A_evidence": "Environment Venv ### Evidence N/A ### Possible Solution set up a env variable. ### Additional context crewai/events/utils/console_formatter", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "94d4c5ab26edfa86", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3828, "url": "https://github.com/crewAIInc/crewAI/issues/3828", "title": "[BUG] when memory is enabled, flow is failing saying cannot pickle thread object", "created_at": "2025-11-04T10:12:36Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.55, "A_evidence": "ad object ### Description Getting this error when memory is enabled TypeError: cannot pickle '_thread.RLock' object ### Steps to Reproduce make m", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b3531f2af6ee2156", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3836, "url": "https://github.com/crewAIInc/crewAI/issues/3836", "title": "[BUG] Stop sequences not sent to Anthropic API causing massive token usage", "created_at": "2025-11-05T17:58:52Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 5872, "A_failure_type": "A2_tool_integration", "A_confidence": 0.747, "A_evidence": ".completion import AnthropicCompletion from crewai.tools import tool @tool def sample_tool(query: str) -> str: \"\"\"Sample tool.\"\"\" return \"Tool", "B_cause_class": 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"A4_communication", "A_confidence": 0.914, "A_evidence": "duce Create a heirarchial crew where manager agent has 2-3 agents to delegate to (say postgres, mysql, etc). Give a query that the agent will possi", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "4361259129539c55", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3883, "url": "https://github.com/crewAIInc/crewAI/issues/3883", "title": "[BUG]from crewai_tools import tool error", "created_at": "2025-11-11T07:44:21Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1212, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": ".py\", line 1, in from crewai_tools import tool ImportError: cannot import name 'tool' from 'crewai_tools' (C:\\ProgramData\\anaconda3\\envs\\agenttest\\L", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0040969d04c16fd4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3885, "url": "https://github.com/crewAIInc/crewAI/issues/3885", "title": "[BUG]ImportError: `minds_sdk` package not found.", "created_at": "2025-11-11T08:10:33Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 9, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2422, "A_failure_type": "A3_compatibility", "A_confidence": 0.715, "A_evidence": "[BUG]ImportError: `minds_sdk` package not found.", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "62b4068d95e2c093", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3887, "url": "https://github.com/crewAIInc/crewAI/issues/3887", "title": "[BUG]", "created_at": "2025-11-11T10:51:44Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 5124, "A_failure_type": "A2_tool_integration", "A_confidence": 0.739, "A_evidence": "is is a workaround to use the official API. In any case, here is the tool call: ```json { \"task\": \"Create a minimal, faithful technical plan that", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits;A:A9_safety:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0091fffe059991a2", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3897, "url": "https://github.com/crewAIInc/crewAI/issues/3897", "title": "[BUG] A2A - pydantic error, when AgentCard-skill-id <> endpoint url. (1.3.0)", "created_at": "2025-11-12T17:33:20Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 19, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3037, "A_failure_type": "A6_data_structure", "A_confidence": 0.747, "A_evidence": "[BUG] A2A - pydantic error, when AgentCard-skill-id <> endpoint url. (1.3.0)", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:2hits;A:A8_performance:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fdd675a565ab3be7", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3899, "url": "https://github.com/crewAIInc/crewAI/issues/3899", "title": "[BUG] A2A - completed requested ignored", "created_at": "2025-11-12T20:52:58Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 2119, "A_failure_type": "A4_communication", "A_confidence": 0.911, "A_evidence": "e properly with status \"completed\", but A2A server is ignoring it and delegating same request to the same agent again. Remote agent respond again with", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e01996adc048f98f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3906, "url": "https://github.com/crewAIInc/crewAI/issues/3906", "title": "[BUG] CrewAI >= 1.4.0 - Structured outputs no longer working with azure models", "created_at": "2025-11-13T11:07:39Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 17, "reactions": 0, "labels": "bug", "body_len": 1966, "A_failure_type": "A6_data_structure", "A_confidence": 0.88, "A_evidence": "1 2. Use an Azure model 3. Create an agent or call a Azure LLM with a pydantic model as response format ### Expected behavior It should just retur", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.59, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "674eb7aa5721c5b5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3907, "url": "https://github.com/crewAIInc/crewAI/issues/3907", "title": "[BUG] - CREWAI_DISABLE_TELEMETRY but still seeing requests to /crewai_plus/api/v1/tracing/ephemeral/batches", "created_at": "2025-11-13T12:23:04Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 1351, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.703, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A9_safety:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d12c8b9474bbe2de", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3912, "url": "https://github.com/crewAIInc/crewAI/issues/3912", "title": "[BUG]Agent executions are slowed down due to substantial latency in the on-prem VLLM model.", "created_at": "2025-11-14T06:44:30Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 731, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.628, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0972e1b29227da87", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3915, "url": "https://github.com/crewAIInc/crewAI/issues/3915", "title": "[BUG] ERROR:root:Failed to parse structured output from stream: 1 validation error for TaskEvaluation quality", "created_at": "2025-11-14T12:26:37Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 7541, "A_failure_type": "A6_data_structure", "A_confidence": 0.9, "A_evidence": "[BUG] ERROR:root:Failed to parse structured output from stream: 1 validation error for TaskEvaluation quality", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D4_minor", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:4hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d44b5d01e4dc59ed", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3918, "url": "https://github.com/crewAIInc/crewAI/issues/3918", "title": "[BUG] RagTool not working as documented", "created_at": "2025-11-14T14:49:00Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 2737, "A_failure_type": "A6_data_structure", "A_confidence": 0.705, "A_evidence": "s the arguments. As such, the first LLM call will always fail with a ValidationError, unless you explicitly instruct the LLM to pass the parameters. ###", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7bd40e5fd8fe3f57", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3925, "url": "https://github.com/crewAIInc/crewAI/issues/3925", "title": "[BUG?] Hierarchical process behaves differently depending on the Language", "created_at": "2025-11-16T03:54:22Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 6096, "A_failure_type": "A4_communication", "A_confidence": 0.876, "A_evidence": "t in Japanese, it tries to come up with the answer on its own without delegating to the coworkers. I tried gpt-5-nano and gpt-4o-mini as LLM, both of", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0125a77a7503c16f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3927, "url": "https://github.com/crewAIInc/crewAI/issues/3927", "title": "[BUG] A2A looses information about LLM provided when checking if A2A remote agent is relevant", "created_at": "2025-11-16T10:23:00Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5041, "A_failure_type": "A4_communication", "A_confidence": 0.596, "A_evidence": "are unable to determine the answer using the available tools, please delegate to another agent.\", a2a=[ A2AConfig( endpoint=\"http://localhost:10", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.615, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:3hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b2e8d411cb90248a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 3929, "url": "https://github.com/crewAIInc/crewAI/issues/3929", "title": "[BUG] Task can't be configured when passing None as a context parameter via YAML", "created_at": "2025-11-16T13:46:14Z", "year": 2025, "state": "closed", "state_reason": "not_planned", 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"bug;no-issue-activity", "body_len": 7575, "A_failure_type": "A1_functionality", "A_confidence": 0.632, "A_evidence": "imodal content. This prevents VLMs from processing images, leading to hallucinations or irrelevant outputs. The docs suggest `multimodal=True` auto-ad", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B5_model_limitation", "B_confidence": 0.69, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A8_performance:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "31a905a80504df72", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4018, "url": "https://github.com/crewAIInc/crewAI/issues/4018", "title": "[BUG] Question: How to use Azure AD token based auth to run crews!", "created_at": "2025-12-02T10:38:27Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 6759, "A_failure_type": "A7_configuration", "A_confidence": 0.765, "A_evidence": "o access Azure openAI LLM's , as my company has deprecated the use of API Keys. The latest version of Crewai , for that matter all versions post 0.", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.668, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:6hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "212446cc6ed9f9b8", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4028, "url": "https://github.com/crewAIInc/crewAI/issues/4028", "title": "[BUG] WebsiteSearchTool always uses OpenAI despite Ollama being specified (both llm and embedder)", "created_at": "2025-12-04T11:16:16Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1597, "A_failure_type": "A6_data_structure", "A_confidence": 0.597, "A_evidence": "ual Environment Venv ### Evidence ``` pydantic_core._pydantic_core.ValidationError: 1 validation error for WebsiteSearchTool Value error, The OPENAI_AP", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.723, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "491e18f3eb0ee7b1", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4030, "url": "https://github.com/crewAIInc/crewAI/issues/4030", "title": "[BUG] using external memory with mem0 and valkey (or redis) fails", "created_at": "2025-12-04T15:35:12Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 14, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 5747, "A_failure_type": "A2_tool_integration", "A_confidence": 0.6, "A_evidence": "GS from crewai.memory.external.external_memory import ExternalMemory @tool(\"DuckDuckGo Search\") def search_tool(query: str) -> str: \"\"\"Search t", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.626, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b5db8bf06208281d", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4036, "url": "https://github.com/crewAIInc/crewAI/issues/4036", "title": "[BUG] Models with native function calling fail when using Ollama", "created_at": "2025-12-05T20:38:45Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 2, "labels": "bug;no-issue-activity", "body_len": 2475, "A_failure_type": "A2_tool_integration", "A_confidence": 0.803, "A_evidence": "[BUG] Models with native function calling fail when using Ollama", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.806, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "6e9e3bc78cc22d46", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4041, "url": "https://github.com/crewAIInc/crewAI/issues/4041", "title": "[BUG] System signal events (`SigTermEvent` `SigIntEvent`) are disabled if Telemetry is disabled, and fragile to signal handler ordering", "created_at": "2025-12-08T01:22:06Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 6272, "A_failure_type": "A7_configuration", "A_confidence": 0.828, "A_evidence": "e_handler) # 2. Initialize Telemetry (returns early if disabled via env var). telemetry = Telemetry() print(f\"[Setup] Telemetry ready={getattr(", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.586, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "608861f42f78fd96", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4046, "url": "https://github.com/crewAIInc/crewAI/issues/4046", "title": "[BUG] CrewAI only supports certain Bedrock models", "created_at": "2025-12-08T15:24:15Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "bug", "body_len": 2996, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "453b0a954ec83584", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4056, "url": "https://github.com/crewAIInc/crewAI/issues/4056", "title": "[BUG] Token Usage always 0", "created_at": "2025-12-10T08:15:15Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 1535, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2f6c2a074ec79573", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4062, "url": "https://github.com/crewAIInc/crewAI/issues/4062", "title": "[BUG] module 'signal' has no attribute 'SIGHUP'", "created_at": "2025-12-11T04:41:14Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 1954, "A_failure_type": "A3_compatibility", "A_confidence": 0.911, "A_evidence": "[BUG] module 'signal' has no attribute 'SIGHUP'", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.608, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6999e2b59df12872", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4064, "url": "https://github.com/crewAIInc/crewAI/issues/4064", "title": "[BUG] System Prompt Uses Fake JSON", "created_at": "2025-12-11T05:26:31Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 2819, "A_failure_type": "A2_tool_integration", "A_confidence": 0.86, "A_evidence": "mple for the model, likely causing it confusion when it tries to make tool calls. ### Expected behavior The tool parameters should be provided as ac", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B5_model_limitation", "B_confidence": 0.627, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "b2b49ba637a53ec7", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4069, "url": "https://github.com/crewAIInc/crewAI/issues/4069", "title": "[BUG]CrewAI 1.6.x Native Azure Provider Does Not Support Azure AD Token Authentication (Entra ID)", "created_at": "2025-12-11T08:45:08Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 4440, "A_failure_type": "A7_configuration", "A_confidence": 0.616, "A_evidence": "ive Azure provider fails because it only supports AzureKeyCredential (API key authentication), not TokenCredential (Azure AD/Managed Identity). Th", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.63, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:3hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cd37381ddf671efa", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4072, "url": "https://github.com/crewAIInc/crewAI/issues/4072", "title": "[BUG] Async task that errors keeps its thread alive", "created_at": "2025-12-11T14:11:30Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 1389, "A_failure_type": "A4_communication", "A_confidence": 0.876, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "db4c8b7aff9f6a90", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4079, "url": "https://github.com/crewAIInc/crewAI/issues/4079", "title": "[BUG] CrewAI 1.7.0 dependency conflict with litellm[proxy] - incompatible openai version requirements", "created_at": "2025-12-13T09:52:02Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 2, "labels": "bug", "body_len": 3182, "A_failure_type": "A3_compatibility", "A_confidence": 0.9, "A_evidence": "[BUG] CrewAI 1.7.0 dependency conflict with litellm[proxy] - incompatible openai version requirements", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "3e317ae95ff0389f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4088, "url": "https://github.com/crewAIInc/crewAI/issues/4088", "title": "[BUG] GithubSearchTool unable to access private repositories", "created_at": "2025-12-16T01:54:33Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 3014, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2bbc95db5526152e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4093, "url": "https://github.com/crewAIInc/crewAI/issues/4093", "title": "[BUG] Received None or empty response from LLM call.", "created_at": "2025-12-16T08:33:48Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 9, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1311, "A_failure_type": "A2_tool_integration", "A_confidence": 0.766, "A_evidence": "BUG] Received None or empty response from LLM call. ### Description tool call is OFTEN failing when using gemini 3 pro model. openai models are wor", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "6d022dd7a563dc92", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4095, "url": "https://github.com/crewAIInc/crewAI/issues/4095", "title": "[BUG] Pydantic V1/V2 Compatibility Crash in RagTool when passing custom ChromaDB Settings", "created_at": "2025-12-16T09:08:22Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3331, "A_failure_type": "A6_data_structure", "A_confidence": 0.671, "A_evidence": "[BUG] Pydantic V1/V2 Compatibility Crash in RagTool when passing custom ChromaDB Set", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A6_data_structure:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8e8750a2c7608bae", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4098, "url": "https://github.com/crewAIInc/crewAI/issues/4098", "title": "[BUG] Dependency version conflict between CrewAI & mem0 for openai lib", "created_at": "2025-12-16T12:43:32Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2232, "A_failure_type": "A7_configuration", "A_confidence": 0.682, "A_evidence": "โ€ข openai 1.90.0 or higher โ€ข No upper bound. ### Steps to Reproduce pip install crewai==1.7.0 mem0==1.0.0 ### Expected behavior Should we add range", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "25fca5607fc68861", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4113, "url": "https://github.com/crewAIInc/crewAI/issues/4113", "title": "[BUG] format_answer() catches OutputParserException, breaking retry logic", "created_at": "2025-12-17T13:59:20Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 508, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;EXC:outputparserexception->A6_data_structure;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a43fa15dfd59e84c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4117, "url": "https://github.com/crewAIInc/crewAI/issues/4117", "title": "[BUG] Newer OSS models (Olmo, Nemotron-3-nano) ignore system prompts and fail tool calling", "created_at": "2025-12-18T11:29:22Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1865, "A_failure_type": "A1_functionality", "A_confidence": 0.61, "A_evidence": "hese specific models expect system instructions, or the models simply hallucinate instead of following the format ? ### Steps to Reproduce 1. Setup", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.724, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:5hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "550bbce0132531fa", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4122, "url": "https://github.com/crewAIInc/crewAI/issues/4122", "title": "[BUG] Not able to use Bedrock with GithubSearchTool", "created_at": "2025-12-18T15:34:55Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 2617, "A_failure_type": "A7_configuration", "A_confidence": 0.769, "A_evidence": "model. 3 - Run the agent. It will trigger failure `The OPENAI_API_KEY environment variable is not set`. 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"title": "[BUG] OpenAI dependency conflict + LiteLLM fallback failure when using Groq GPT-OSS 120B", "created_at": "2026-01-21T14:30:40Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 4355, "A_failure_type": "A3_compatibility", "A_confidence": 0.727, "A_evidence": "rewAI is unable to correctly route to LiteLLM, resulting in: ``` bash ImportError: Fallback to LiteLLM is not available ``` Both issues stem from OpenA", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "260516fbda5097a9", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4270, "url": "https://github.com/crewAIInc/crewAI/issues/4270", "title": "[BUG] Conflicting versions for openai when using OpenLit", "created_at": "2026-01-23T10:09:23Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2587, "A_failure_type": "A3_compatibility", "A_confidence": 0.622, "A_evidence": "etrics setup failed. Metrics will not be available: 'NoneType' object has no attribute 'create_histogram' DependencyConflict: requested: \"openai >= 1.92.0\"", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:2hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "37c79f560f22c091", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4277, "url": "https://github.com/crewAIInc/crewAI/issues/4277", "title": "[BUG] `KnowledgeStorage.save()` crash when called with an empty `documents` list.", "created_at": "2026-01-25T12:58:39Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 2529, "A_failure_type": "A6_data_structure", "A_confidence": 0.892, "A_evidence": "(e.g. `None`, `False`, or `0`), **or** * Raising a clear, high-level validation error (e.g. `ValueError: documents must be non-empty`) at the API boundary.", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "31597400abb9aa0a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4289, "url": "https://github.com/crewAIInc/crewAI/issues/4289", "title": "[BUG] Noisy ValueError tracebacks when CrewAI initialized from non-main thread", "created_at": "2026-01-27T19:39:24Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4403, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3aa639f1d7ac521c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4300, "url": "https://github.com/crewAIInc/crewAI/issues/4300", "title": "[BUG] Title: Dependency constraints in `pyproject.toml` are overly strict", "created_at": "2026-01-29T08:35:46Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "bug", "body_len": 2053, "A_failure_type": "A3_compatibility", "A_confidence": 0.778, "A_evidence": "very narrow window** (`openai>=1.83.0,<1.84.dev0`). This makes CrewAI incompatible with packages that require newer OpenAI SDKs (e.g. `langchain-opena", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "3be76f333a2b2534", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4305, "url": "https://github.com/crewAIInc/crewAI/issues/4305", "title": "[BUG] ImportError: cannot import name 'InitFrom' from 'qdrant_client.models'", "created_at": "2026-01-29T15:13:15Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug", "body_len": 2865, "A_failure_type": "A3_compatibility", "A_confidence": 0.882, "A_evidence": "[BUG] ImportError: cannot import name 'InitFrom' from 'qdrant_client.models'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.646, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:6hits;A:A7_configuration:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "95a2ce6378461879", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4308, "url": "https://github.com/crewAIInc/crewAI/issues/4308", "title": "[BUG] Gemini 3.0 Flash Preview not supported", "created_at": "2026-01-30T00:01:43Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 133, "A_failure_type": "A10_unknown", "A_confidence": 0.25, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C8_runtime_other", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A4_communication:1hits;R4:below-threshold", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f42450ebda55bf0f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4312, "url": "https://github.com/crewAIInc/crewAI/issues/4312", "title": "[BUG] An error occurred while running the crew: Failed to initialize MCP Adapter: '#/properties/geometry/anyOf/0/items'", "created_at": "2026-01-30T17:15:08Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 4413, "A_failure_type": "A2_tool_integration", "A_confidence": 0.539, "A_evidence": "[BUG] An error occurred while running the crew: Failed to initialize MCP Adapter: '#/properties/geometry/anyOf/0/items'", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.652, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2001e54236643049", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4345, "url": "https://github.com/crewAIInc/crewAI/issues/4345", "title": "[BUG] Naming a crew \"test\" causes errors", "created_at": "2026-02-03T04:56:18Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 2036, "A_failure_type": "A7_configuration", "A_confidence": 0.675, "A_evidence": "ama/mixtral q. Quit Enter the number of your choice or 'q' to quit: 1 API keys and model saved to .env file Selected model: ollama/llama3.1 - Crea", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.691, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D4_minor", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5b48c898fe41fe1b", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4347, "url": "https://github.com/crewAIInc/crewAI/issues/4347", "title": "[BUG] Crew streaming chunks missing task metadata (task_id/task_name/task_index empty)", "created_at": "2026-02-03T12:38:43Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 3216, "A_failure_type": "A2_tool_integration", "A_confidence": 0.609, "A_evidence": "c Vulgarizer\", \"agent_id\": \"e56beae8-4e0a-4e26-9b78-2b009d81855d\", \"tool_call\": null } ``` and should be : ``` { \"content\": \"**\", \"chunk_type\": \"", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.638, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "b181bfce8575628e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4369, "url": "https://github.com/crewAIInc/crewAI/issues/4369", "title": "[BUG] TaskOutput.pydantic is None on first guardrail attempt but parsed on retries", "created_at": "2026-02-04T18:56:01Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 1, "labels": "bug;no-issue-activity", "body_len": 4007, "A_failure_type": "A6_data_structure", "A_confidence": 0.815, "A_evidence": "[BUG] TaskOutput.pydantic is None on first guardrail attempt but parsed on retries", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "52b5de1769402e56", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4385, "url": "https://github.com/crewAIInc/crewAI/issues/4385", "title": "[BUG] akickoff_for_each fails inside of flows", "created_at": "2026-02-05T22:28:04Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.852, "A_evidence": "## Description ## Summary `akickoff_for_each` fails with a Pydantic validation error when a Crew is created inside a Flow method, even when explicitly set", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6df72e30d91c7186", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4389, "url": "https://github.com/crewAIInc/crewAI/issues/4389", "title": "[BUG] CrewAgentExecutor does not reset messages and iterations between task executions", "created_at": "2026-02-06T14:19:56Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "bug", "body_len": 1312, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "cc871d7a615c613f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4403, "url": "https://github.com/crewAIInc/crewAI/issues/4403", "title": "[BUG] Task Attributes table is broken in documentation", "created_at": "2026-02-07T08:27:19Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 1002, "A_failure_type": "A1_functionality", "A_confidence": 0.693, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0ae312b640db9477", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4413, "url": "https://github.com/crewAIInc/crewAI/issues/4413", "title": "[BUG] LLM.call fails with trailing whitespace in final assistant message for anthropic models", "created_at": "2026-02-08T07:40:42Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 10, "reactions": 0, "labels": "bug;no-issue-activity;Investigating", "body_len": 1390, "A_failure_type": "A6_data_structure", "A_confidence": 0.892, "A_evidence": "er be automatically stripped by CrewAI, or the library should raise a validation error before making the API request. ### Screenshots/Code snippets See **", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c0b80a991beb919a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4419, "url": "https://github.com/crewAIInc/crewAI/issues/4419", "title": "[BUG] Task(agent=...) with non-Agent type crashes with AttributeError instead of validation error", "created_at": "2026-02-08T22:07:14Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2271, "A_failure_type": "A6_data_structure", "A_confidence": 0.703, "A_evidence": "agent=...) with non-Agent type crashes with AttributeError instead of validation error", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b782a35e5dd96fbf", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4423, "url": "https://github.com/crewAIInc/crewAI/issues/4423", "title": "[BUG] Mem0Storage crashes when config is provided as a JSON string", "created_at": "2026-02-09T15:33:30Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 2092, "A_failure_type": "A3_compatibility", "A_confidence": 0.715, "A_evidence": "strings (e.g. json.loads(config)), or Raise a clear error early, e.g. TypeError: config must be a dict, got str Right now the raw AttributeError is", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:4hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f1daa459089f779e", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4427, "url": "https://github.com/crewAIInc/crewAI/issues/4427", "title": "[BUG] AnthropicCompletion fails to handle empty user message content", "created_at": "2026-02-09T19:35:00Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.668, "A_evidence": "ired_args..inner..wrapper(*args, **kwargs) 281 raise TypeError(msg) --> [282](https://file+.vscode-resource.vscode-cdn.net/opt/homeb", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.663, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": 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As far as I understand, tool call is not finishing. 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The tool call fails with: โ€ข ParsedBedrockKBRetrieverTool._run() missing 1 required", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.608, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:3hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "36a236b57a61025f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4498, "url": "https://github.com/crewAIInc/crewAI/issues/4498", "title": "[BUG] TypeError: Object of type File is not JSON serializable when using input_files with gemma3", "created_at": "2026-02-16T16:05:17Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, 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"labels": "bug;no-issue-activity", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.905, "A_evidence": "l ERROR:crewai.flow.flow:Error executing listener generate_section: 1 validation error for Crew parent_flow Input should be an instance of Flow.__class_get", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fa2b145dc6e898a5", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4568, "url": "https://github.com/crewAIInc/crewAI/issues/4568", "title": "[BUG]When I 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"comments": 0, "reactions": 0, "labels": "bug", "body_len": 3414, "A_failure_type": "A2_tool_integration", "A_confidence": 0.921, "A_evidence": "+ thinking model) stream=True Every streaming response involving a tool call produces: WARNING:google_genai.types:Warning: there are non-text pa", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0b902bc34275822f", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 4671, "url": "https://github.com/crewAIInc/crewAI/issues/4671", "title": "[BUG] A2A client is not working in Jupyter Environments", "created_at": "2026-03-02T10:48:06Z", "year": 2026, "state": "closed", 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This time, the error is related to function objects, not Pydantic model classes. Checkpointing fails when using `on_events=[\"method_ex", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "04930475eaaed133", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 5622, "url": "https://github.com/crewAIInc/crewAI/issues/5622", "title": "[BUG] OpenAI API key works locally but fails inside CrewAI with 401 invalid_api_key", "created_at": "2026-04-25T19:10:27Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;no-issue-activity", "body_len": 12000, "A_failure_type": "A7_configuration", 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"A_confidence": 0.7, "A_evidence": "a736bf\" /> ### Possible Solution Make it stop printing it with some env variable . ### Additional context No", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.778, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1d09cd42f99e81de", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 5725, "url": "https://github.com/crewAIInc/crewAI/issues/5725", "title": "[BUG]: HITL pre-review fails open and silently bypasses automated safeguards", "created_at": "2026-05-06T04:10:36Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3700, 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"body_len": 1992, "A_failure_type": "A2_tool_integration", "A_confidence": 0.795, "A_evidence": "y executed runs again. There's no mechanism to detect that a specific tool call already completed. ### Steps to Reproduce 1. 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7398, "url": "https://github.com/crewAIInc/crewAI/issues/7398", "title": "Auto-checkpoint raises PydanticSerializationError when a Task has a Python-callable guardrail", "created_at": "2026-09-11T20:44:46Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "no-issue-activity", "body_len": 3037, "A_failure_type": "A6_data_structure", "A_confidence": 0.699, "A_evidence": "Auto-checkpoint raises PydanticSerializationError when a Task has a Python-callable guardrail", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": 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retried task depends on", "created_at": "2026-10-16T08:00:05Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 5971, "A_failure_type": "A1_functionality", "A_confidence": 0.595, "A_evidence": "il (I injected a failure into the writer's first LLM call), the retry silently drops the upstream context: the declared context is replaced by the valida", "B_cause_class": "B6_context_management", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.555, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "047dec4cb2ebb9cc", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8233, "url": "https://github.com/crewAIInc/crewAI/issues/8233", "title": "[BUG] Claude Sonnet 5.5 / Opus 5.5 on native Anthropic provider will return 400 when one tool is passed with available_functions", "created_at": "2026-10-16T20:13:03Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 3739, "A_failure_type": "A2_tool_integration", "A_confidence": 0.837, "A_evidence": "i with this configuration by making the agent reasoning step fail its tool call and fall back to text. The Bedrock counterpart is #7725 / #7726. ###", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "b67e07b1683907a4", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8306, "url": "https://github.com/crewAIInc/crewAI/issues/8306", "title": "[BUG] Task description stays overwritten with the replan prompt when replanning fails", "created_at": "2026-10-20T06:40:54Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 4220, "A_failure_type": "A4_communication", "A_confidence": 0.577, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c1122eda0a50abc6", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8316, "url": "https://github.com/crewAIInc/crewAI/issues/8316", "title": "[BUG] Reactive context-overflow recovery stops after successful summarization without resuming the task", "created_at": "2026-10-20T13:45:05Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 6550, "A_failure_type": "A7_configuration", "A_confidence": 0.663, "A_evidence": "hon reproduce.py`. It uses local model responses and storage; no real API key is required. 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It uses local model responses and storage; no real API key is required. 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It uses local model responses and storage; no real API key is required. 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It uses local model responses and storage; no real API key is required. 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It uses local model responses and storage; no real API key is required. 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Run the crew (`Crew.kickoff()`) or `agent.kickoff()`; the LLM cal", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "6ee6133a2b1b822a", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8368, "url": "https://github.com/crewAIInc/crewAI/issues/8368", "title": "[BUG] Hierarchical crew fails on its second kickoff: manager_llm crashes, manager_agent delegates to itself", "created_at": "2026-10-21T16:58:37Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3675, "A_failure_type": "A4_communication", "A_confidence": 0.919, "A_evidence": "th `manager_llm`, the first run stores the manager it built, with its delegation tools, in `crew.manager_agent`. The next run sees a manager that has", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "81529a6b15473c38", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8370, "url": "https://github.com/crewAIInc/crewAI/issues/8370", "title": "[BUG] Corrupt settings.json is silently ignored and can never be overwritten, so login/org switch/config reset report success but save nothing", "created_at": "2026-10-21T17:11:52Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug", "body_len": 3779, "A_failure_type": "A6_data_structure", "A_confidence": 0.604, "A_evidence": "level. ### Possible Solution - In `__init__`, catch `(OSError, json.JSONDecodeError)` and log a warning with the path (not the contents, since the file h", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9ad5e368838e723c", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8434, "url": "https://github.com/crewAIInc/crewAI/issues/8434", "title": "[BUG] Native Gemini provider silently drops OpenAI-style image_url content parts", "created_at": "2026-10-23T05:41:02Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3622, "A_failure_type": "A7_configuration", "A_confidence": 0.676, "A_evidence": "`pip install \"crewai[google-genai]\"`). 2. Save this as `repro.py` (no API key or network needed; it only calls the formatter): ```python from crew", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0e6a3a573cda07d8", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8435, "url": "https://github.com/crewAIInc/crewAI/issues/8435", "title": "[BUG]Restoring a SQLite checkpoint fails when a parent directory contains #", "created_at": "2026-10-23T06:51:38Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3117, "A_failure_type": "A5_context_memory", "A_confidence": 0.751, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "efe0db5402863f52", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8437, "url": "https://github.com/crewAIInc/crewAI/issues/8437", "title": "[BUG] Resuming a flow from a checkpoint stops at a completed router: the listeners of its route never run", "created_at": "2026-10-23T07:49:35Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4393, "A_failure_type": "A5_context_memory", "A_confidence": 0.756, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "93c2f83f78864662", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8438, "url": "https://github.com/crewAIInc/crewAI/issues/8438", "title": "[BUG] A flow resumed from a checkpoint writes checkpoints of a blank flow, so a second resume starts over", "created_at": "2026-10-23T07:55:04Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "bug", "body_len": 4140, "A_failure_type": "A5_context_memory", "A_confidence": 0.669, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e55f1150ce611af0", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8439, "url": "https://github.com/crewAIInc/crewAI/issues/8439", "title": "[BUG] Pausing for human feedback in one of two concurrent listeners loses the other listener and their `and_` join", "created_at": "2026-10-23T08:01:01Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4130, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.615, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "44676205167e3edd", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8440, "url": "https://github.com/crewAIInc/crewAI/issues/8440", "title": "[BUG] An automatic checkpoint taken while an async listener writes the flow state fails the flow with PanicException", "created_at": "2026-10-23T08:02:34Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 4585, "A_failure_type": "A6_data_structure", "A_confidence": 0.638, "A_evidence": "ner keeps adding keys to the flow state on the event loop thread, and pydantic-core panics on the dict that changed size. 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The manager agent holds t", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:4hits;A:A5_context_memory:2hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4447c0927cbb4c63", "framework": "CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 8647, "url": "https://github.com/crewAIInc/crewAI/issues/8647", "title": "[BUG]A guardrail that returns a malformed result leaves LLMGuardrailStartedEvent without its completed event", "created_at": "2026-10-27T06:30:47Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 3161, "A_failure_type": "A6_data_structure", "A_confidence": 0.733, "A_evidence": "us] Warning: Event pairing mismatch. 'lite_agent_execution_error' ... 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"CrewAI", "repo": "crewAIInc/crewAI", "issue_number": 9048, "url": "https://github.com/crewAIInc/crewAI/issues/9048", "title": "[BUG] Agent planning drops the JSON output requirements in Task.expected_output", "created_at": "2026-11-04T08:58:36Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug", "body_len": 2762, "A_failure_type": "A7_configuration", "A_confidence": 0.74, "A_evidence": "dwich and a coffee: $8 + $3. ### Steps to Reproduce # first, config api key for llm model, here I use deepseek-v4.1-flash # second, run the follo", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.703, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", 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For pro", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.69, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6b397da22ffe7e23", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 893, "url": "https://github.com/langchain-ai/langgraph/issues/893", "title": "Cannot start \"langgraph up\"", "created_at": "2024-06-30T18:38:46Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "", "body_len": 1562, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ecd2a9193bfd80ad", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 911, "url": "https://github.com/langchain-ai/langgraph/issues/911", "title": "pandas agent not working with langgraph", "created_at": "2024-07-03T11:53:03Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "", "body_len": 6772, "A_failure_type": "A8_performance", "A_confidence": 0.695, "A_evidence": "terrupt_after, debug) 1070 del fut, task 1072 # panic on failure or timeout -> 1073 _panic_or_proceed(done, inflight, step) 1074 # don't keep fu", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.643, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A7_configuration:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "947733aea5ec0597", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 928, "url": "https://github.com/langchain-ai/langgraph/issues/928", "title": "Send raise ValueError: too many values to unpack (expected 2)", "created_at": "2024-07-04T06:28:35Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 7670, "A_failure_type": "A2_tool_integration", "A_confidence": 0.504, "A_evidence": "ges = state[\"messages\"] last_message = messages[-1] if last_message.tool_calls: return \"tools\" return END def call_model(state: MessagesState):", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.628, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A5_context_memory:3hits;A:A7_configuration:2hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "99b996e3462c297e", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 942, "url": "https://github.com/langchain-ai/langgraph/issues/942", "title": "\"TypeError: string indices must be integers\" in line: \"for output in app.stream(inputs):\"", "created_at": "2024-07-08T04:29:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 2607, "A_failure_type": "A8_performance", "A_confidence": 0.65, "A_evidence": "interrupt_after, debug) 983 del fut, task 985 # panic on failure or timeout --> 986 _panic_or_proceed(done, inflight, step) 987 # don't keep fut", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b749be6e09d37970", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 944, "url": "https://github.com/langchain-ai/langgraph/issues/944", "title": "cannot import ToolNode from Langgraph", "created_at": "2024-07-08T09:49:49Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 14, "reactions": 1, "labels": "stale", "body_len": 1832, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "to handle errors and surface them to the agent. 8 \"\"\" ImportError: cannot import name 'ToolNode' from 'langgraph.prebuilt' (/home/ec2-user/anaconda3/envs/p", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "17d6e5d5bfd221f6", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 978, "url": "https://github.com/langchain-ai/langgraph/issues/978", "title": "plan-and-execute example => TypeError: can only concatenate list (not \"tuple\") to list", "created_at": "2024-07-10T03:05:30Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3334, "A_failure_type": "A3_compatibility", "A_confidence": 0.766, "A_evidence": "plan-and-execute example => TypeError: can only concatenate list (not \"tuple\") to list", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "eb41d135f3891f5b", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 982, "url": "https://github.com/langchain-ai/langgraph/issues/982", "title": "Langraph Agent, Code works with OpenAI, but throws an error with Claude: (ValueError: System message must be at the beginning of the message list.)", "created_at": "2024-07-10T10:26:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 10954, "A_failure_type": "A2_tool_integration", "A_confidence": 0.676, "A_evidence": "# If there is no function call, then we finish if not last_message.tool_calls: return \"__end__\" # Otherwise if there is, we continue return \"act", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.662, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A5_context_memory:3hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2f306701c8e2efd8", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1002, "url": "https://github.com/langchain-ai/langgraph/issues/1002", "title": "Use the firefunction-v2 model of ChatFireworks for multi-agent, and encountered an error: fireworks.client.error.InternalServerError: {'error': {'object': 'error', 'type': 'internal_server_error', 'message': 'server had an error while processing your request, please retry again after a brief wait'}}", "created_at": "2024-07-12T09:43:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 10482, "A_failure_type": "A2_tool_integration", "A_confidence": 0.831, "A_evidence": "esult.\"\"\" messages = state[\"messages\"] last_message = messages[-1] tool_call = last_message.additional_kwargs[\"tool_calls\"][0] tool_name = tool_c", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A4_communication:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ca97775cdbe67bca", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1020, "url": "https://github.com/langchain-ai/langgraph/issues/1020", "title": "How to Pass thread_id to langserve chat playground for langgraph?", "created_at": "2024-07-15T12:49:04Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 11225, "A_failure_type": "A6_data_structure", "A_confidence": 0.534, "A_evidence": "E: LANGSERVE: See all available routes at /docs/ LANGSERVE: โš ๏ธ Using pydantic 2.8.2. OpenAPI docs for invoke, batch, stream, stream_log endpoints w", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "28c7a5f6a9c53479", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1069, "url": "https://github.com/langchain-ai/langgraph/issues/1069", "title": "BadRequestError with create_react_agent, tavily tool and ChatOpenAI model", "created_at": "2024-07-19T12:48:35Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 14, "reactions": 1, "labels": "", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.545, "A_evidence": "able.invoke(state, config) 580 if state[\"is_last_step\"] and response.tool_calls: 581 return { 582 \"messages\": [ 583 AIMessage( (...) 587 ] 588", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.625, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a78423d0c902a790", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1084, "url": "https://github.com/langchain-ai/langgraph/issues/1084", "title": "ToolMessage `artifact` failed to save in memory", "created_at": "2024-07-22T15:47:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, 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"issue_number": 1304, "url": "https://github.com/langchain-ai/langgraph/issues/1304", "title": "OpenAI works as expected but AzureOpenAI does not (ref multi-agent examples)", "created_at": "2024-08-09T22:39:37Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A4_communication", "A_confidence": 0.77, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.603, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9863d4626157699e", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1358, "url": "https://github.com/langchain-ai/langgraph/issues/1358", "title": "PostgresSaver throw \"PostgresSaver.put() missing 1 required positional argument: 'new_versions'\"", "created_at": "2024-08-15T11:58:20Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4109, "A_failure_type": "A5_context_memory", "A_confidence": 0.635, "A_evidence": "ut() missing 1 required positional argument: 'new_versions' Output is truncated. View as a scrollable element or open in a text editor. Adjust cell", "B_cause_class": "B6_context_management", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.595, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4a3f2015a041bb30", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1377, "url": "https://github.com/langchain-ai/langgraph/issues/1377", "title": "KeyError encountered: '__start__", "created_at": "2024-08-18T10:27:51Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 4385, "A_failure_type": "A2_tool_integration", "A_confidence": 0.654, "A_evidence": "omptTemplate, MessagesPlaceholder from langchain_core.messages import ToolCall, ToolMessage from langchain_openai import ChatOpenAI llm = ChatOpenA", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.625, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6a022c70e3a9957d", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1386, "url": "https://github.com/langchain-ai/langgraph/issues/1386", "title": "Get error returning list object as state update from nodes", "created_at": "2024-08-19T10:22:07Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, 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For production use, set LANGGRAPH_CLOUD_LICENSE_KEY in environment.", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "011943ca4dceea6b", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1469, "url": "https://github.com/langchain-ai/langgraph/issues/1469", "title": "DOC: Missing import in `langgraph/examples/docs/quickstart.ipynb`", "created_at": "2024-08-26T02:34:31Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 974, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "ggraph.graph` before it's used, which breaks notebook execution. ``` NameError Traceback (most recent call last) Cell In[6], [line 14](vscode-notebo", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "682427dbcd2666b0", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1489, "url": "https://github.com/langchain-ai/langgraph/issues/1489", "title": "Langgraph requires REDIS_URI which isn't used in my project and the project was running fine previously.", "created_at": "2024-08-27T05:15:15Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 8663, "A_failure_type": "A7_configuration", "A_confidence": 0.807, "A_evidence": "langgraph up Starting LangGraph API server... For local dev, requires env var LANGSMITH_API_KEY with access to LangGraph Cloud closed beta. For pro", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.616, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "eb9d96dc21d1eb59", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1561, "url": "https://github.com/langchain-ai/langgraph/issues/1561", "title": "DOC: NameError due to undefined supervisor_chain in agent_supervisor.ipynb", "created_at": "2024-08-31T11:57:42Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 675, "A_failure_type": "A1_functionality", "A_confidence": 0.822, "A_evidence": "DOC: NameError due to undefined supervisor_chain in agent_supervisor.ipynb", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "083d381962ba761a", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1565, "url": "https://github.com/langchain-ai/langgraph/issues/1565", "title": "LLM Compiler Example - Replan action failing due to incorrect format", "created_at": "2024-08-31T21:08:14Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8549, "A_failure_type": "A8_performance", "A_confidence": 0.691, "A_evidence": "fore, interrupt_after, debug) 1017 break 1019 # panic on failure 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"completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 2951, "A_failure_type": "A3_compatibility", "A_confidence": 0.666, "A_evidence": "langgraph.checkpoint.serde.types import ChannelProtocol ImportError: cannot import name 'WRITES_IDX_MAP' from 'langgraph.checkpoint.base'``` ``` ### Descrip", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;A:A8_performance:1hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d508a19830357c96", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1866, "url": "https://github.com/langchain-ai/langgraph/issues/1866", "title": "Intermittent issue when using SqliteSaver- TypeError: Object of type SecretStr is not serializable", "created_at": "2024-09-26T19:07:29Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "", "body_len": 10591, "A_failure_type": "A6_data_structure", "A_confidence": 0.544, "A_evidence": "]: 224 if hasattr(obj, \"model_dump\") and callable(obj.model_dump): # pydantic v2 225 return msgpack.ExtType( 226 EXT_PYDANTIC_V2, --> 227 _msgpac", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.634, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:3hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": 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"body_len": 7344, "A_failure_type": "A6_data_structure", "A_confidence": 0.505, "A_evidence": "> numpy: 1.26.4 > openai: 1.42.0 > orjson: 3.10.6 > packaging: 23.2 > pydantic: 2.8.2 > PyYAML: 6.0.2 > qdrant-client: 1.10.1 > requests: 2.32.3 > S", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.622, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "499e154d064de103", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 1978, "url": "https://github.com/langchain-ai/langgraph/issues/1978", "title": "No useful traceback when using pydantic schema and failing validation", "created_at": "2024-10-02T20:42:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 3781, "A_failure_type": "A6_data_structure", "A_confidence": 0.853, "A_evidence": "No useful traceback when using pydantic schema and failing validation", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "df0b33608713ebce", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2003, "url": "https://github.com/langchain-ai/langgraph/issues/2003", "title": "DOC: ValidationError in LangGraph Customer Support Bot Example", "created_at": "2024-10-04T07:54:52Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.644, "A_evidence": "DOC: ValidationError in LangGraph Customer Support Bot Example", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A6_data_structure:1hits;A:A8_performance:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "37fee4892d403295", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2004, "url": "https://github.com/langchain-ai/langgraph/issues/2004", "title": "Storm Example Falling with MultipleSubgraphsError", "created_at": "2024-10-04T12:53:38Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "", "body_len": 9753, "A_failure_type": "A6_data_structure", "A_confidence": 0.497, "A_evidence": "> ollama: 0.3.3 > openai: 1.51.0 > orjson: 3.10.7 > packaging: 24.1 > pydantic: 2.9.2 > pydantic-settings: 2.5.2 > PyYAML: 6.0.2 > requests: 2.32.3", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.62, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c005cb2990975bb2", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2016, "url": "https://github.com/langchain-ai/langgraph/issues/2016", "title": "New deployments fail with \"couldn't import transformers package\" issue on the first run.", "created_at": "2024-10-06T15:51:21Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 2061, "A_failure_type": "A3_compatibility", "A_confidence": 0.601, "A_evidence": ", ) ``` ### Error Message and Stack Trace (if applicable) ```shell ImportError('Could not import transformers python package. This is needed in orde", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0cb27cb756f37f62", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2030, "url": "https://github.com/langchain-ai/langgraph/issues/2030", "title": "persistence_postgres error", "created_at": "2024-10-07T15:51:16Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 15, "reactions": 0, "labels": "", "body_len": 3600, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "283e6b6ea3629ac6", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2033, "url": "https://github.com/langchain-ai/langgraph/issues/2033", "title": "`CheckpointNS` `ConfigurableFieldSpec` model is not in sync with the Base SQL schema definitions", "created_at": "2024-10-07T18:13:19Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 9267, "A_failure_type": "A6_data_structure", "A_confidence": 0.56, "A_evidence": "ing: 23.2 > pgvector: 0.2.5 > psycopg: 3.1.19 > psycopg-pool: 3.2.2 > pydantic: 2.9.2 > pydantic-settings: 2.5.2 > PyYAML: 6.0.1 > requests: 2.32.3", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.628, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:3hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "33d8e6d46c4f663e", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2055, "url": "https://github.com/langchain-ai/langgraph/issues/2055", "title": "Larger outputs cause streaming errors: peer closed connection without sending complete message body", "created_at": "2024-10-08T20:15:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 10135, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "69b03b384718f101", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2061, "url": "https://github.com/langchain-ai/langgraph/issues/2061", "title": "Calling `langgraph up` i get the error `langgraph-api-1 | FileNotFoundError: [Errno 2] No such file or directory: '/deps/langgraph-example-pyproject/my_agent\\\\agent.py`", "created_at": "2024-10-09T06:54:12Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 14, "reactions": 0, "labels": "", "body_len": 4066, "A_failure_type": "A7_configuration", "A_confidence": 0.839, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9b4c9036db7f87b6", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2075, "url": "https://github.com/langchain-ai/langgraph/issues/2075", "title": "DOC: Chatbots > Customer Support throwing the error: \"An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'\"", "created_at": "2024-10-10T16:12:37Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.828, "A_evidence": "ts > Customer Support throwing the error: \"An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'\"", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A4_communication:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e4b549f3db46a39b", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2080, "url": "https://github.com/langchain-ai/langgraph/issues/2080", "title": "Copy of CompiledStateGraph request mandatory to explicit \"update={}\"", "created_at": "2024-10-11T07:53:09Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 2, "labels": "", "body_len": 1923, "A_failure_type": "A3_compatibility", "A_confidence": 0.707, "A_evidence": "top\\test.py\", line 29, in copy_app = app.copy() ^^^^^^^^^^ TypeError: Pregel.copy() missing 1 required positional argument: 'update' ```", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.614, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4ee6571239a06540", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2119, "url": "https://github.com/langchain-ai/langgraph/issues/2119", "title": "RuntimeError: dictionary changed size during iteration", "created_at": "2024-10-15T22:03:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 3458, "A_failure_type": "A1_functionality", "A_confidence": 0.787, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f2406a83da10925f", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2135, "url": "https://github.com/langchain-ai/langgraph/issues/2135", "title": "Unable to save playwright Page object in the Sqlite database of langraph", "created_at": "2024-10-18T05:07:21Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 6490, "A_failure_type": "A6_data_structure", "A_confidence": 0.555, "A_evidence": "openai: 1.50.2 > orjson: 3.10.7 > packaging: 24.1 > pillow: 10.4.0 > pydantic: 2.9.2 > PyYAML: 6.0.2 > requests: 2.32.3 > SQLAlchemy: 2.0.35 > tena", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:3hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "03dd272aeca6b258", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2137, "url": "https://github.com/langchain-ai/langgraph/issues/2137", "title": "DOC: Bug in Memory example", "created_at": "2024-10-18T08:39:41Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 893, "A_failure_type": "A5_context_memory", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0a7aead46a7ac776", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2155, "url": "https://github.com/langchain-ai/langgraph/issues/2155", "title": "Serialization error when executing traceback at the end of workflow execution", "created_at": "2024-10-22T05:59:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 7899, "A_failure_type": "A6_data_structure", "A_confidence": 0.675, "A_evidence": "raph bug and not a design question. ### Example Code ```python from pydantic import BaseModel from snowflake.snowpark import Session class BaseMo", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "746dd296d5d53ab6", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2198, "url": "https://github.com/langchain-ai/langgraph/issues/2198", "title": "typing.TypedDict is not supported in with pydantic in Python < 3.12", "created_at": "2024-10-27T14:26:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.765, "A_evidence": "typing.TypedDict is not supported in with pydantic in Python < 3.12", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8c22ec8d138512eb", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2227, "url": "https://github.com/langchain-ai/langgraph/issues/2227", "title": "crfeate_react_agent does not support already bound tools with gemini models", "created_at": "2024-10-30T11:42:07Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 1, "labels": "", "body_len": 5583, "A_failure_type": "A2_tool_integration", "A_confidence": 0.844, "A_evidence": ".5-flash-8b\",google_api_key=llm_api_key.gemini_api_key,temperature=1, tool_call = True) @tool def authoring_tool(user_information: RunnableConfig,", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.607, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1e98bde5a8d441d2", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2316, "url": "https://github.com/langchain-ai/langgraph/issues/2316", "title": "LangGraph Studio (mac) -> AttributeError: module 'mvgbxnshzyfjxntsvqcqbkah' has no attribute 'graph'", "created_at": "2024-11-04T06:06:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "", "body_len": 3470, "A_failure_type": "A3_compatibility", "A_confidence": 0.873, "A_evidence": "aph Studio (mac) -> AttributeError: module 'mvgbxnshzyfjxntsvqcqbkah' has no attribute 'graph'", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f1f2e23b7eabc864", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2320, "url": "https://github.com/langchain-ai/langgraph/issues/2320", "title": "DOC: Bug in Memory Store Example", "created_at": "2024-11-04T11:16:35Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 2766, "A_failure_type": "A5_context_memory", "A_confidence": 0.765, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.611, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0ee975452164f8a3", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2386, "url": "https://github.com/langchain-ai/langgraph/issues/2386", "title": "Agent Tools: ValueError: `` is not strict. Only `strict` function tools can be auto-parsed", "created_at": "2024-11-11T12:55:14Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.677, "A_evidence": "############### FastAPI api.py from fastapi import FastAPI, Body from pydantic import BaseModel from flow.src.graph import graph as graph_module ap", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1276311e70263ea0", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 2424, "url": 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"repo": "langchain-ai/langgraph", "issue_number": 3570, "url": "https://github.com/langchain-ai/langgraph/issues/3570", "title": "Can't go to a node in the parent graph using Command.PARENT", "created_at": "2025-02-24T22:21:27Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A5_context_memory", "A_confidence": 0.657, "A_evidence": "", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:4hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "aa0494411e585a66", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 3631, "url": 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"A:A3_compatibility:5hits;A:A4_communication:1hits;A:A5_context_memory:3hits;A:A6_data_structure:1hits;A:A7_configuration:3hits;A:A8_performance:1hits;EXC:cannot import name->A3_compatibility;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "20fe6413d962b885", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 3660, "url": "https://github.com/langchain-ai/langgraph/issues/3660", "title": "\"Cancel Run\" endpoint returns 500 HTTP error if \"wait\" arg is not passed", "created_at": "2025-03-03T10:06:45Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A3_compatibility", "A_confidence": 0.591, "A_evidence": "pi/runs.py\", line 363, in cancel_run | AttributeError: 'bool' object has no attribute 'lower' 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0.597, "A_evidence": ": {'userName': 'ใƒช'}, 'id': 'tooluse_jIvvJaqAQze6kdL8Hn2OfQ', 'type': 'tool_call'} -------------------------------------------------------------------", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8672ee4d519872e2", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 3943, "url": "https://github.com/langchain-ai/langgraph/issues/3943", "title": "Cannot Import PostgresStore", "created_at": "2025-03-20T12:00:26Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 5186, "A_failure_type": "A3_compatibility", "A_confidence": 0.689, "A_evidence": "G: 50 from langchain_core.embeddings import Embeddings ImportError: cannot import name 'TTLConfig' from 'langgraph.store.base' (/home/sajith/Data/Projects/A", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0cb63af6fe50884e", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 3992, "url": "https://github.com/langchain-ai/langgraph/issues/3992", "title": "[BUG] Setting a \"tool_choice\" with ChatOpenAI causes a Pydantic ValidationError from \"tool_call_id\"", "created_at": "2025-03-23T23:47:47Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 11972, "A_failure_type": "A2_tool_integration", "A_confidence": 0.539, "A_evidence": "[-1] if not isinstance(last_message, AIMessage) or not last_message.tool_calls: return EDGE_END # v1 API would just return EDGE_USE_TOOL here t", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:5hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:3hits;A:A6_data_structure:3hits;A:A7_configuration:1hits;A:A8_performance:1hits;EXC:validationerror->A6_data_structure;R2:tool-precedence", "filter_reason": 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"LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 4717, "url": "https://github.com/langchain-ai/langgraph/issues/4717", "title": "Bug Report: TToolMessage tool_call_id ValidationError When Using create_react_agent", "created_at": "2025-05-16T03:23:20Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "", "body_len": 6277, "A_failure_type": "A2_tool_integration", "A_confidence": 0.558, "A_evidence": "### for examples: ``` ToolMessage( content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': str(args), 'nam", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": 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"hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:4hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4b6052ba4bb7d7fd", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 4723, "url": "https://github.com/langchain-ai/langgraph/issues/4723", "title": "psycopg.errors.LockNotAvailable: canceling statement due to lock timeout", "created_at": "2025-05-16T16:22:21Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "question", "body_len": 7854, "A_failure_type": "A2_tool_integration", "A_confidence": 0.625, "A_evidence": "ges = state[\"messages\"] last_message = messages[-1] if last_message.tool_calls: return \"ๆฃ€็ดขไธ“ๅฎถ็Ÿฅ่ฏ†/่ง„ๅˆ™\" return END def call_model(state: GraphState):", "B_cause_class": 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'NoneType' object is not iterable when resume is used in thread.submit command", "created_at": "2025-07-25T01:21:02Z", "year": 2025, "state": "open", "state_reason": null, "comments": 11, "reactions": 0, "labels": "bug;pending;external", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.515, "A_evidence": "rounded-md text-neutral-100\">

Tool Call

Tool Call Request:

langserve Other Dependencies ------------------ > async-timeout<5.0.0,>=4.0.0;: Installed. 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"B_confidence": 0.702, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8cf3514535a2842e", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6138, "url": "https://github.com/langchain-ai/langgraph/issues/6138", "title": "langraph agent issues with cohere chat", "created_at": "2025-09-12T14:37:29Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;pending", "body_len": 11529, "A_failure_type": "A2_tool_integration", "A_confidence": 0.709, "A_evidence": "ges/langchain_cohere/chat_models.py\", line 1200, in _agenerate | for tool_call in 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"A_failure_type": "A7_configuration", "A_confidence": 0.507, "A_evidence": "Hello\": \"World\"} # langgraph.json { \"dockerfile_lines\": [ \"RUN uv pip install --system fastapi uvicorn[standard]\" ], \"graphs\": { \"agent\": \"./src", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.583, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:3hits;A:A6_data_structure:1hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "37b67e3424cc4bca", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6445, "url": "https://github.com/langchain-ai/langgraph/issues/6445", "title": "AddableUpdatesDict does not support right-side addition", "created_at": 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"A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:3hits;A:A6_data_structure:3hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "7e3152f8b73c488f", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6624, "url": "https://github.com/langchain-ai/langgraph/issues/6624", "title": "ToolNode doesn't collect all interrupts from parallel tool execution", "created_at": "2025-12-24T19:17:19Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "bug;pending", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.655, "A_evidence": "agent_node(state: State): \"\"\"Simulates an LLM that returns multiple tool calls.\"\"\" print(\"\\n[agent_node] Entering agent node\") # Simulate the LLM", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:3hits;A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A5_context_memory:4hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "de9cf2014899a37d", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6626, "url": "https://github.com/langchain-ai/langgraph/issues/6626", "title": "`interrupt()` calls in parallel tools generate identical IDs, making multi-interrupt resume impossible", "created_at": "2025-12-25T20:05:04Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 1, "labels": "bug;pending", "body_len": 7130, "A_failure_type": "A2_tool_integration", "A_confidence": 0.624, "A_evidence": "_node(state: State): \"\"\"Simulates an LLM returning multiple parallel tool calls.\"\"\" return {\"messages\": [AIMessage( content=\"I'll create three shap", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A5_context_memory:4hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1a7dfa0a405ec783", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6632, "url": "https://github.com/langchain-ai/langgraph/issues/6632", "title": "Some states are lost after using LangGraph with human-in-the-loop, especially when there is a lot of content in the state.", "created_at": "2025-12-27T02:47:55Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;pending", "body_len": 1597, "A_failure_type": "A5_context_memory", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A5_context_memory:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "c970a502b3aa9c3b", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6647, "url": "https://github.com/langchain-ai/langgraph/issues/6647", "title": "langgraph-sdk: 4 tests fail because api/openapi.json is missing", "created_at": "2026-01-05T01:53:25Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;pending;external", "body_len": 9209, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D4_minor", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;EXC:filenotfounderror->A7_configuration;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "499aaeb1e5443369", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6650, "url": "https://github.com/langchain-ai/langgraph/issues/6650", "title": "Vertex AI Gemini works via genai.Client but fails via ChatGoogleGenerativeAI with 404 Endpoint Not Found", "created_at": "2026-01-05T11:44:45Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;pending", "body_len": 3669, "A_failure_type": "A7_configuration", "A_confidence": 0.643, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "73b9a4cf0b8be157", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6654, "url": "https://github.com/langchain-ai/langgraph/issues/6654", "title": "client.runs.stream hangs or loses real-time updates when using url=None (In-process Transport) in v0.6", "created_at": "2026-01-06T02:53:05Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug;pending;external", "body_len": 1807, "A_failure_type": "A3_compatibility", "A_confidence": 0.543, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "c51ba3a532099468", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6655, "url": "https://github.com/langchain-ai/langgraph/issues/6655", "title": "langgraph dev / Studio crash: get_graph() missing keyword-only arg is_for_execution", "created_at": "2026-01-06T18:04:34Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;pending", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.639, "A_evidence": "langgraph dev / Studio crash: get_graph() missing keyword-only arg is_for_execution", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.58, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:3hits;A:A6_data_structure:2hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a1553b097f722523", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6657, "url": "https://github.com/langchain-ai/langgraph/issues/6657", "title": "langgraph agent skills", "created_at": "2026-01-07T00:49:54Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "bug;pending", "body_len": 1156, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2ad7a7e403b5e66b", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6660, "url": "https://github.com/langchain-ai/langgraph/issues/6660", "title": "Async Functional API double-consumes interrupt resume values", "created_at": "2026-01-08T14:37:14Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug;pending;external", "body_len": 3162, "A_failure_type": "A5_context_memory", "A_confidence": 0.757, "A_evidence": "", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": 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"C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "67431a84fb0fc7af", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6688, "url": "https://github.com/langchain-ai/langgraph/issues/6688", "title": "Examples not actually restored after #6682", "created_at": "2026-01-15T20:02:09Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;pending", "body_len": 3069, "A_failure_type": "A6_data_structure", "A_confidence": 0.505, "A_evidence": "ry-sdk: 1.38.0 > orjson: 3.11.5 > packaging: 25.0 > pyarrow: 22.0.0 > pydantic: 2.12.4 > pydantic-settings: 2.12.0 > pytest: 9.0.1 > pyyaml: 6.0.3 >", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, 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"A_confidence": 0.601, "A_evidence": "ssue when using LANGGRAPH_RUNTIME_EDITION=postgres''' import os # Set environment variable BEFORE importing langgraph_api os.environ[\"LANGGRAPH_RUNTIME_EDITION\"", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.676, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:3hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3ffe898746a4494c", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6714, "url": "https://github.com/langchain-ai/langgraph/issues/6714", "title": "[Streaming] Cannot correlate subgraph namespace with parent tool_call_id when streaming with subgraphs=True", "created_at": "2026-01-23T03:22:39Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;pending;external", "body_len": 5317, "A_failure_type": "A2_tool_integration", "A_confidence": 0.831, "A_evidence": ".content def model_node(state: State): # Model returns two parallel tool calls return { \"messages\": [ AIMessage( content=\"\", tool_calls=[ {\"id", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "a17ac97b762c2dd2", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6718, "url": "https://github.com/langchain-ai/langgraph/issues/6718", "title": "Nested Enum fields become None after 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identical run_id/request_id creates forked checkpoints", "created_at": "2026-01-29T07:47:59Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;pending", "body_len": 4391, "A_failure_type": "A5_context_memory", "A_confidence": 0.69, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B6_context_management", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A4_communication:1hits;A:A5_context_memory:3hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3d7654eb87628ad3", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6731, "url": "https://github.com/langchain-ai/langgraph/issues/6731", "title": "LangGraph [1.0.6] Bug - Agent infinite looping until recursion limit error is hit", "created_at": "2026-01-30T15:25:03Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 30, "reactions": 1, "labels": "bug;pending", "body_len": 7030, "A_failure_type": "A5_context_memory", "A_confidence": 0.548, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d13729f1935176ab", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6756, "url": "https://github.com/langchain-ai/langgraph/issues/6756", "title": "ImportError: cannot import name 'thread_ttl' from 'langgraph_api'", "created_at": "2026-02-06T03:08:15Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 1240, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "ImportError: cannot import name 'thread_ttl' from 'langgraph_api'", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e7c63a4eaed821ef", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6758, "url": "https://github.com/langchain-ai/langgraph/issues/6758", "title": "Send parallel", "created_at": "2026-02-06T08:47:59Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 1478, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "ddb2ccbaf0740e50", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6770, "url": "https://github.com/langchain-ai/langgraph/issues/6770", "title": "KeyError('__end__') at runtime when conditional router returns '__end__' but path_map does not include END mapping", "created_at": "2026-02-09T17:40:26Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug;external", "body_len": 5978, "A_failure_type": "A6_data_structure", "A_confidence": 0.873, "A_evidence": "en path_map is present, or 2. fail fast during compile() with a clear validation error. ### System Info System Information ------------------ > OS: Darwin", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dbaa6e1043c67d70", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6781, "url": "https://github.com/langchain-ai/langgraph/issues/6781", "title": "A serialization failure occurred when the local server was running the Agent with Middleware", "created_at": "2026-02-11T09:44:48Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;external", "body_len": 7263, "A_failure_type": "A6_data_structure", "A_confidence": 0.681, "A_evidence": "y-sdk: 1.39.1 > orjson: 3.11.7 > packaging: 26.0 > protobuf: 6.33.5 > pydantic: 2.12.5 > pyjwt: 2.11.0 > python-dotenv: 1.2.1 > pyyaml: 6.0.3 > requ", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ed6e898674d62c29", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 6782, "url": "https://github.com/langchain-ai/langgraph/issues/6782", "title": "graph.invoke() / graph.stream() raise AttributeError when config is not a mapping", "created_at": "2026-02-11T13:58:06Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 3330, "A_failure_type": "A3_compatibility", "A_confidence": 0.697, "A_evidence": "or k, v in config.items(): ^^^^^^^^^^^^ AttributeError: 'str' object has no attribute 'items' ``` ### Description When calling graph.invoke() or graph.st", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", 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"framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 7315, "url": "https://github.com/langchain-ai/langgraph/issues/7315", "title": "langgraph-sdk _ExecutionRuntime/_ReadRuntime missing `previous` field, crashes runtime_to_proto", "created_at": "2026-03-27T22:24:03Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 1, "labels": "external", "body_len": 4047, "A_failure_type": "A3_compatibility", "A_confidence": 0.57, "A_evidence": "re) runtime_to_proto(er) # AttributeError: '_ExecutionRuntime' object has no attribute 'previous' # _ReadRuntime โ€” missing both 'previous' and 'context' rr", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B6_context_management", "B_confidence": 0.627, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": 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deleting a thread leaks its channel blobs โ€” unbounded memory growth in long-running dev servers", "created_at": "2026-06-12T05:11:27Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug;external", "body_len": 5349, "A_failure_type": "A5_context_memory", "A_confidence": 0.605, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B1_framework_defect", "B_confidence": 0.616, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1c927618c05c3ec7", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8059, "url": "https://github.com/langchain-ai/langgraph/issues/8059", "title": "ToolRuntime no custom state is provided", "created_at": "2026-06-12T14:10:48Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;external", "body_len": 2214, "A_failure_type": "A2_tool_integration", "A_confidence": 0.738, "A_evidence": "ues/31688) ### Reproduction Steps / Example Code (Python) ```python @tool def count_characters( text: str, runtime: ToolRuntime ) -> int: \"Co", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "27e9d9c26824cb5a", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8082, "url": "https://github.com/langchain-ai/langgraph/issues/8082", "title": "BinaryOperatorAggregate.__eq__ raises AttributeError for reducers without __name__ (e.g. functools.partial, callable instances) when a reducer field is shared across schemas", "created_at": "2026-06-15T10:57:19Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "external", "body_len": 4139, "A_failure_type": "A3_compatibility", "A_confidence": 0.75, "A_evidence": "== \"\": ^^^^^^^^^^ AttributeError: 'functools.partial' object has no attribute '__name__' ``` ### Description I define a state field with a reduce", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e226b241fb45b2d8", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8083, "url": "https://github.com/langchain-ai/langgraph/issues/8083", "title": "Lang Graph did not save all data to the checkpoint", "created_at": "2026-06-15T11:05:12Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;external", "body_len": 2234, "A_failure_type": "A5_context_memory", "A_confidence": 0.853, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "61022a6911433338", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8087, "url": "https://github.com/langchain-ai/langgraph/issues/8087", "title": "join_stream in sdk-py does not support v2 streaming", "created_at": "2026-06-15T17:43:51Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 1, "labels": "bug;external", "body_len": 3508, "A_failure_type": "A2_tool_integration", "A_confidence": 0.513, "A_evidence": "nschema-rs: 0.29.1 > langgraph: 1.2.0 > langgraph-checkpoint: 4.1.0 > mcp: 1.27.1 > numpy: 2.4.3 > openai: 2.38.0 > openai-agents: 0.17.3 > ope", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "a38b68351bb2a626", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8089, "url": "https://github.com/langchain-ai/langgraph/issues/8089", "title": "Langgraph dev fails with AttributeError", "created_at": "2026-06-15T18:26:08Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "bug;external", "body_len": 4121, "A_failure_type": "A3_compatibility", "A_confidence": 0.638, "A_evidence": "f applicable) ```shell AttributeError: module 'langgraph_api.config' has no attribute 'LSD_PROM_METRICS_ENABLED' ``` ### Description List of installed la", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "supported", "C_lifecycle_stage": 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"D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "244d3fde52d61256", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8116, "url": "https://github.com/langchain-ai/langgraph/issues/8116", "title": "PostgresSaver constructor in from_conn_string without `serde`", "created_at": "2026-06-17T07:55:53Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 10, "reactions": 0, "labels": "bug;external", "body_len": 2866, "A_failure_type": "A3_compatibility", "A_confidence": 0.711, "A_evidence": "^^^^^^^^^^^^^^^^^^ TypeError: PostgresSaver.from_conn_string() got an unexpected keyword argument 'serde' ``` ### Description The `PostgresSaver.from_conn_string` cl", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:4hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f950588834481014", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 8130, "url": "https://github.com/langchain-ai/langgraph/issues/8130", "title": "Typo in create_react_agent docstring: \"GraphRecusionError\" should be \"GraphRecursionError\"", "created_at": "2026-06-18T10:17:15Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 18, "reactions": 0, "labels": "bug;external", "body_len": 1579, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": 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When `arg` contains the graph state (e.g. `ToolCallWithContext(tool_call, state)` used for `ToolNode` dispatch), every edge run uploads one te", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "25ee88769bc91aee", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9175, "url": "https://github.com/langchain-ai/langgraph/issues/9175", "title": "Command.__repr__ calls asdict(self) causing TypeError: cannot pickle on unpicklable state and expensive deepcopy`", "created_at": "2026-10-03T04:21:19Z", "year": 2026, "state": "open", "state_reason": null, "comments": 5, "reactions": 0, "labels": "bug;external", "body_len": 4901, "A_failure_type": "A3_compatibility", "A_confidence": 0.578, "A_evidence": "Command.__repr__ calls asdict(self) causing TypeError: cannot pickle on unpicklable state and expensive deepcopy`", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.646, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ad76841f85d848ee", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9176, "url": "https://github.com/langchain-ai/langgraph/issues/9176", "title": "StateGraph._is_field_binop rejects valid reducers like set.union, functions with default args, and variadics`", "created_at": "2026-10-03T04:29:17Z", "year": 2026, "state": "open", "state_reason": null, "comments": 5, "reactions": 0, "labels": "bug;external", "body_len": 5339, "A_failure_type": "A6_data_structure", "A_confidence": 0.677, "A_evidence": "4.2 > langsmith: 0.10.17 > langgraph: 1.2.10 > langgraph_sdk: 0.4.2 > pydantic: 2.13.4 ```", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.74, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f37d0917329da100", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9177, "url": "https://github.com/langchain-ai/langgraph/issues/9177", "title": "`bug: create_react_agent 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{"record_id": "b27624ccece41453", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9185, "url": "https://github.com/langchain-ai/langgraph/issues/9185", "title": "[BUG] Resuming after a tool error re-runs the tool node, repeating a side effect that already happened", "created_at": "2026-10-04T04:41:44Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 16, "reactions": 0, "labels": "bug;external", "body_len": 9402, "A_failure_type": "A2_tool_integration", "A_confidence": 0.623, "A_evidence": "(verbatim) --- \"\"\"LangGraph: resuming after a tool timeout re-runs a tool call that already took effect. 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"C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a3e58d05cde602d4", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9547, "url": "https://github.com/langchain-ai/langgraph/issues/9547", "title": "Using InMemorySaver (as checkpointer) may cause a memory leak.", "created_at": "2026-11-02T09:33:19Z", "year": 2026, "state": "open", "state_reason": null, "comments": 5, "reactions": 0, "labels": "bug;external", "body_len": 2765, "A_failure_type": "A5_context_memory", "A_confidence": 0.714, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D4_minor", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "570be11d630c52d3", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9556, "url": "https://github.com/langchain-ai/langgraph/issues/9556", "title": "ToolNode: messages added via Command.update end up between parallel tool results, so every later request fails", "created_at": "2026-11-02T18:47:17Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;external", "body_len": 6430, "A_failure_type": "A2_tool_integration", "A_confidence": 0.804, "A_evidence": "class TwoParallelCalls(BaseChatModel): \"\"\"First turn: two parallel tool calls. Afterwards: a plain answer.\"\"\" def _generate(self, messages, stop=", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e29a0c31cac6a2aa", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9561, "url": "https://github.com/langchain-ai/langgraph/issues/9561", "title": "checkpoint-sqlite: setup() guard catches std-lib sqlite3.OperationalError only โ€” breaks non-stdlib drivers (e.g. sqlcipher)", "created_at": "2026-11-03T02:42:15Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug;external", "body_len": 4506, "A_failure_type": "A5_context_memory", "A_confidence": 0.669, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b8fa367c2e95f3fc", "framework": "LangGraph", "repo": "langchain-ai/langgraph", "issue_number": 9566, "url": "https://github.com/langchain-ai/langgraph/issues/9566", "title": "default_cache_key raises TypeError for keyword-argument mappings with unorderable keys, so a cached @task never runs", "created_at": "2026-11-03T08:13:06Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "external", "body_len": 4082, "A_failure_type": "A3_compatibility", "A_confidence": 0.68, "A_evidence": "default_cache_key raises TypeError for keyword-argument mappings with unorderable keys, so a cached @tas", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.682, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6b9bd9bdf7bde79c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18848, "url": "https://github.com/run-llama/llama_index/issues/18848", "title": "[Bug]: Human-in-the-loop not working correctly with Nested Workflow", "created_at": "2025-05-26T05:46:00Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "bug;triage", "body_len": 6119, "A_failure_type": "A8_performance", "A_confidence": 0.833, "A_evidence": "-in-the-loop) for Human-in-the-loop, but using nested workflow. I got TimeOut: `llama_index.core.workflow.errors.WorkflowTimeoutError: Operation ti", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:2hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f13a8f076de34628", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18860, "url": "https://github.com/run-llama/llama_index/issues/18860", "title": "[Question]: UnprocessableEntityError of AzureOpenAI", "created_at": "2025-05-27T05:23:13Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "question", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.746, "A_evidence": "=ChatMessage()) ---> 48 async for last_chat_response in response: 49 tool_calls = self.llm.get_tool_calls_from_response( # type: ignore 50 last_chat", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.605, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A5_context_memory:2hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1dc349f04a2cc8ed", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18894, "url": "https://github.com/run-llama/llama_index/issues/18894", "title": "[Bug]: Circular Import Error: Cannot import OpenAI LLM due to settings โ†” base_retriever dependency loop", "created_at": "2025-05-29T16:03:14Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 5193, "A_failure_type": "A3_compatibility", "A_confidence": 0.81, "A_evidence": "_index.core.base.base_retriever` **Error Details**: ``` ImportError: cannot import name 'Settings' from partially initialized module 'llama_index.core.settin", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A7_configuration:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ecdb467ded64461a", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18900, "url": "https://github.com/run-llama/llama_index/issues/18900", "title": "[Bug]: json.decoder.JSONDecodeError in OpenSearchVectorStore When Using Metadata Filters", "created_at": "2025-05-30T13:45:41Z", "year": 2025, "state": "open", "state_reason": null, "comments": 9, "reactions": 0, "labels": "bug;P1", "body_len": 1986, "A_failure_type": "A6_data_structure", "A_confidence": 0.809, "A_evidence": "[Bug]: json.decoder.JSONDecodeError in OpenSearchVectorStore When Using Metadata Filters", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6dca329cda9c4863", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18924, "url": "https://github.com/run-llama/llama_index/issues/18924", "title": "[Documentation]: Quick start gone wrong", "created_at": "2025-06-02T02:16:12Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "triage", "body_len": 955, "A_failure_type": "A3_compatibility", "A_confidence": 0.591, "A_evidence": "a_index.core.agent.workflow import FunctionAgent ModuleNotFoundError: No module named 'llama_index.core.agent.workflow' ip list | findstr llama-index llam", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ba0f275b677e5d1b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18928, "url": "https://github.com/run-llama/llama_index/issues/18928", "title": "[Bug]: Chat API call violates the OpenAI specification if the tool has no parameters", "created_at": "2025-06-02T10:02:47Z", "year": 2025, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug;triage;P2", "body_len": 6166, "A_failure_type": "A2_tool_integration", "A_confidence": 0.535, "A_evidence": "essage_content ERROR 06-02 17:41:39 [serving_chat.py:199] result_msg[\"tool_calls\"] = list(parsed_msg[\"tool_calls\"]) ERROR 06-02 17:41:39 [serving_chat", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.6, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d89dc1c9037ab60a", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18937, "url": "https://github.com/run-llama/llama_index/issues/18937", "title": "[Bug]: Google GenAI Function/Tool Calling - ValueError: Expected at least one tool call, but got 0 tool calls", "created_at": "2025-06-02T22:07:35Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 4358, "A_failure_type": "A2_tool_integration", "A_confidence": 0.81, "A_evidence": "oogle GenAI Function/Tool Calling - ValueError: Expected at least one tool call, but got 0 tool calls", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d35f8646a58c9ee9", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 18971, "url": "https://github.com/run-llama/llama_index/issues/18971", "title": "[Bug]: Error in step 'run_agent_step': Failed to call a function.", "created_at": "2025-06-04T21:32:27Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 4410, "A_failure_type": "A2_tool_integration", "A_confidence": 0.79, "A_evidence": "-17b-16e-instruct.\" or \"llama-3.3-70b-versatile.\" For some particular tool calls it is a toss up whether it runs or not, and I cannot seem to tell why", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "320a21b82e3791ff", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19044, "url": "https://github.com/run-llama/llama_index/issues/19044", "title": "[Bug]: Not possible to do structured predict with Claude 4 Sonnet", "created_at": "2025-06-11T13:57:26Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.894, "A_evidence": "owing issue, how do I fix this? ``` ValueError: Expected at least one tool call, but got 0 tool calls. ``` ### Version llama-index==0.12.41 & llama", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dd56e00c32fc6dcf", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19061, "url": "https://github.com/run-llama/llama_index/issues/19061", "title": "[Question]:how can I add extra embedding field in milvus", "created_at": "2025-06-12T10:36:56Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "question", "body_len": 2148, "A_failure_type": "A1_functionality", "A_confidence": 0.707, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A6_data_structure:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "246810a1d6cc0fcf", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19071, "url": "https://github.com/run-llama/llama_index/issues/19071", "title": "[Bug]: llama_index.core.workflow.errors.WorkflowRuntimeError: Error in step 'run_agent_step'", "created_at": "2025-06-13T03:53:41Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 7743, "A_failure_type": "A2_tool_integration", "A_confidence": 0.75, "A_evidence": "_index\\core\\agent\\workflow\\function_agent.py\", line 55, in take_step tool_calls = self.llm.get_tool_calls_from_response( # type: ignore ^^^^^^^^^^^^", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b0acb91b3d4728f9", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19075, "url": "https://github.com/run-llama/llama_index/issues/19075", "title": "[Question]: Llama index is doing rate Limit error outside Exception", "created_at": "2025-06-13T09:07:46Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 7, "reactions": 0, "labels": "question", "body_len": 3895, "A_failure_type": "A8_performance", "A_confidence": 0.897, "A_evidence": "[Question]: Llama index is doing rate Limit error outside Exception", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.702, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A8_performance:4hits;EXC:ratelimiterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9b07b8d07e005f3e", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19156, "url": "https://github.com/run-llama/llama_index/issues/19156", "title": "[Bug]: ReactAgent workflow crashes with context 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Error Message: pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize u", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0f0f2a88ea30b693", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 19994, "url": "https://github.com/run-llama/llama_index/issues/19994", "title": "[Bug]: DoclingReader takes too much time to get documents when launched from Docker container", "created_at": "2025-10-01T12:33:03Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": 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"A_evidence": "# Relevant Logs/Tracbacks ```shell AttributeError: 'NoneType' object has no attribute 'collection_exists' ```", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d10cfcae1e797aa7", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20004, "url": "https://github.com/run-llama/llama_index/issues/20004", "title": "[Bug]: It is impossible to update to the latest version of Llama Index without dependency conflicts", "created_at": "2025-10-03T07:04:38Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 1300, "A_failure_type": "A7_configuration", "A_confidence": 0.807, "A_evidence": "d. ``` ### Version 0.14.3 ### Steps to Reproduce try to: ```shell pip install llama-index==0.14.3 llama-index-llms-openai==0.6.1 llama-index-llms-a", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "edcff47fae07b0f1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20006, "url": "https://github.com/run-llama/llama_index/issues/20006", "title": "[Bug]: Cannot use Fireworks Deepseek V3.1", "created_at": "2025-10-03T16:18:52Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 0, "labels": 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(1) Because aiobotocore[boto3]==2.13.1 depends on boto3>=1.34.70", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "05b2b1d68d2b96c1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20068, "url": "https://github.com/run-llama/llama_index/issues/20068", "title": "[Bug]: Unable to create a query engine with llm=None", "created_at": "2025-10-13T00:59:32Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "bug;triage", "body_len": 4577, "A_failure_type": "A7_configuration", "A_confidence": 0.81, "A_evidence": "> 821 raise ValueError(MISSING_API_KEY_ERROR_MESSAGE) ValueError: No API key found for OpenAI. 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"A_failure_type": "A2_tool_integration", "A_confidence": 0.769, "A_evidence": "=ChatMessage()) ---> 75 async for last_chat_response in response: 76 tool_calls = self.llm.get_tool_calls_from_response( # type: ignore 77 last_chat", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:4hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2e67e32c339a9d7d", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20129, "url": "https://github.com/run-llama/llama_index/issues/20129", "title": "[Bug]: McpToolSpec create_model_from_json_schema errors on additionalProperties", "created_at": 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"title": "[Question]: do Agents even work with LMStudio?", "created_at": "2025-10-24T17:54:05Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "question", "body_len": 6291, "A_failure_type": "A7_configuration", "A_confidence": 0.629, "A_evidence": "base.llms.types import ChatMessage, MessageRole load_dotenv() # Load environment variables from .env file nest_asyncio.apply() # Apply nest_asyncio to allow ne", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.749, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3dee11038cc536be", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20154, "url": 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MetadataAwareTextSplitter metadata splitting criterion", "created_at": "2025-10-27T16:00:02Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 1023, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "683bdeb975f1ea44", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20167, "url": "https://github.com/run-llama/llama_index/issues/20167", "title": "[Bug]: Llama-index FireworksAI has an outdated list of supported models", "created_at": "2025-10-28T22:34:01Z", "year": 2025, 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"A_failure_type": "A2_tool_integration", "A_confidence": 0.61, "A_evidence": "uld automatically use the function schema and docstring to generate a tool description that get's sent to the LLM. However, actually **only the first line**", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "057251421b3c7f96", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20172, "url": "https://github.com/run-llama/llama_index/issues/20172", "title": "[Bug]: llama-index=0.14.6 brings llama-index-workflows=0.9.0 it's incompatible with", "created_at": "2025-10-29T18:18:46Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 1020, "A_failure_type": "A3_compatibility", "A_confidence": 0.826, "A_evidence": "[Bug]: 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Version 0.14.5 ### Steps to Reproduce ```python ctx = Conte", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b1798a73e1adcfa4", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20193, "url": "https://github.com/run-llama/llama_index/issues/20193", "title": "nothing", "created_at": "2025-10-31T09:05:53Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 0, "A_failure_type": "A10_unknown", "A_confidence": 0.25, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": 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"C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9b6a2e7a62300d95", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20210, "url": "https://github.com/run-llama/llama_index/issues/20210", "title": "[Bug]: reactagent freezed in streaming mode", "created_at": "2025-11-04T07:51:19Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 13, "reactions": 0, "labels": "bug;triage", "body_len": 4031, "A_failure_type": "A2_tool_integration", "A_confidence": 0.638, "A_evidence": "ent) handler = self.agent.run(prompt_with_context, ctx=ctx) s = \"\" tool_calls = [] try: event_count = 0 async for ev in handler.stream_events():", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, 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"A_evidence": "I from llama_index.llms.google_genai.base import VertexAIConfig from pydantic import BaseModel, UUID4 class SubModel(BaseModel): text: str class", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bfa397fed09706c0", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20313, "url": "https://github.com/run-llama/llama_index/issues/20313", "title": "[Bug]: Pymilvus 2.6.4 breaks `AsyncMilvusClient` in `MilvusVectorStore`", "created_at": "2025-11-27T07:20:34Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;triage", 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"A_confidence": 0.792, "A_evidence": "es import ChatMessage from llama_index.llms.openai import OpenAI from pydantic import BaseModel class DataModel(BaseModel): answer: int class Gen", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1f3abc3cd7a173cb", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20326, "url": "https://github.com/run-llama/llama_index/issues/20326", "title": "[Bug]: Error when using astream_chat in llama-index-llms-siliconflow==0.4.1, TypeError: can only concatenate str (not \"NoneType\") to str", "created_at": "2025-12-02T05:18:47Z", "year": 2025, "state": 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on AgentStream events when thinking is enabled.", "created_at": "2025-12-09T17:37:18Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 2, "labels": "bug;triage", "body_len": 5622, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1dae85118d210999", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20367, "url": "https://github.com/run-llama/llama_index/issues/20367", "title": "[Bug]: Confluence Reader integration does not support Python 3.14", "created_at": "2025-12-15T14:25:01Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 497, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d4668093ff4c9b90", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20375, "url": "https://github.com/run-llama/llama_index/issues/20375", "title": "[Bug]: Faiss: add_with_ids called with int instead of 1-d np.array in map_store.py (possible bug)", "created_at": "2025-12-16T09:35:43Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1235, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "hape ==(n, ) not same nb of vectors as ids AttributeError: int object has no attribute shape ```", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "92bb84daf99a2551", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20380, "url": "https://github.com/run-llama/llama_index/issues/20380", "title": "[Bug]: Workflow server is unreachable", "created_at": "2025-12-17T06:42:49Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, 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"A6_data_structure", "A_confidence": 0.944, "A_evidence": "ver, I encounter the following error: \"**pydantic_core._pydantic_core.ValidationError: 1 validation error for TextNode text Input should be a valid string", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9c8ca1a5541b7df1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20403, "url": "https://github.com/run-llama/llama_index/issues/20403", "title": "[Bug]: Retry policy is completely broken - delay ignored AND attempt counter reset", "created_at": "2025-12-22T16:01:56Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 8638, "A_failure_type": "A8_performance", "A_confidence": 0.553, "A_evidence": "happens...\\n\") print(\"-\" * 60) workflow = BugReproductionWorkflow(timeout=30) start_time = time.time() try: result = await workflow.run()", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1b4456182c0c3cbb", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20416, "url": "https://github.com/run-llama/llama_index/issues/20416", "title": "[Bug]: Updating ReActAgent's system_prompt does not function correctly", "created_at": "2025-12-26T06:33:17Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1854, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f8c0b5a8d548f740", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20421, "url": "https://github.com/run-llama/llama_index/issues/20421", "title": "[Bug]: Remote Code Execution (RCE) via Unsafe Argument", "created_at": "2025-12-27T14:58:11Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 288, "A_failure_type": "A9_safety", "A_confidence": 0.892, "A_evidence": "[Bug]: Remote Code Execution (RCE) via Unsafe Argument", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C8_runtime_other", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A9_safety:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "eed4ca4ca75567ea", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20433, "url": "https://github.com/run-llama/llama_index/issues/20433", "title": "[Question]: frequent invoking OpenAI triggers 'Event loop is closed' error", "created_at": "2025-12-30T09:15:50Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "question", "body_len": 3131, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.702, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f4b5946de64b6777", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20439, "url": "https://github.com/run-llama/llama_index/issues/20439", "title": "[Bug]: Structured LLM generates multiple tool calls which results in parsing error", "created_at": "2025-12-31T21:38:04Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 1, "labels": "bug;triage", "body_len": 1604, "A_failure_type": "A2_tool_integration", "A_confidence": 0.602, "A_evidence": "[Bug]: Structured LLM generates multiple tool calls which results in parsing error", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:3hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d48259c6293c562e", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20456, "url": "https://github.com/run-llama/llama_index/issues/20456", "title": "[Bug]: Mistral reasoning not correctly parsed", "created_at": "2026-01-06T09:10:36Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 815, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "cdb1a599a39e84e6", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20459, "url": "https://github.com/run-llama/llama_index/issues/20459", "title": "[Bug]: OpenAIResponses sends unsupported top_p parameter", "created_at": "2026-01-06T21:29:54Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "bug;good first issue;triage", "body_len": 690, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e46550a12a4462c7", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20461, "url": "https://github.com/run-llama/llama_index/issues/20461", "title": "[Bug]: `mean_agg` returns `nan` (float) instead of a list when input is an empty list", "created_at": "2026-01-07T06:40:37Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 828, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "a list (e.g., calling `len()`, iterating, or indexing) will raise a `TypeError`, leading to hard-to-debug crashes. ### Version llama-index-core==0", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0472cb94197bb6c5", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20462, "url": "https://github.com/run-llama/llama_index/issues/20462", "title": "[Bug]: `DocumentBlock` incorrectly coerces empty string fields to `None`", "created_at": "2026-01-07T08:22:24Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 1327, "A_failure_type": "A1_functionality", "A_confidence": 0.74, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a5270e1a097bb49c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20480, "url": "https://github.com/run-llama/llama_index/issues/20480", "title": "[Bug]: llama-index-readers-patentsview stopped working- breaking API change", "created_at": "2026-01-12T17:27:29Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1147, "A_failure_type": "A7_configuration", "A_confidence": 0.815, "A_evidence": "rs\\llama-index-readers-patentsview the underlying API now requires an API key and a url change. The original url throws a 410 Gone on any request.", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.74, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "153dc6461afa7252", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20488, "url": "https://github.com/run-llama/llama_index/issues/20488", "title": "[Bug]: nltk-data is re-downloaded after path change, causing long blocking in sandboxed environments", "created_at": "2026-01-14T07:39:29Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 2509, "A_failure_type": "A8_performance", "A_confidence": 0.582, "A_evidence": "** At minimum, consider one of the following approaches: 0. **Add a timeout to the nltk download / availability check, so the program does not bl", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;A:A8_performance:1hits;A:A9_safety:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "dc6f4cd02c515aa5", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20489, "url": "https://github.com/run-llama/llama_index/issues/20489", "title": "[Bug]: `` tokens are included in the response content for Nova models.", "created_at": "2026-01-14T16:46:22Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 7817, "A_failure_type": "A2_tool_integration", "A_confidence": 0.885, "A_evidence": "\": \"delta='[\\s\\S]*?\", \"\", message.content).strip()` ### Relevant Lo", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6cb4ef2fd54bce6c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20501, "url": "https://github.com/run-llama/llama_index/issues/20501", "title": "[Bug]: OpenAI input using Document is bugged", "created_at": "2026-01-19T07:29:08Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 4166, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "31b1df58366f7301", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20504, "url": "https://github.com/run-llama/llama_index/issues/20504", "title": "[Bug]: VectorStoreIndex.from_vector_store seems broken", "created_at": "2026-01-20T07:50:48Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 1027, "A_failure_type": "A1_functionality", "A_confidence": 0.892, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:4hits;A:A3_compatibility:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2de998692cf3f33b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20505, "url": "https://github.com/run-llama/llama_index/issues/20505", "title": "[Bug]: Update llama-index-vector-stores-opensearch from deprecated default settings", "created_at": "2026-01-20T13:17:49Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 1920, "A_failure_type": "A3_compatibility", "A_confidence": 0.63, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "911c50b51dcec24b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20506, "url": "https://github.com/run-llama/llama_index/issues/20506", "title": "[Bug]: Anthropic usage metadata input tokens set to None in final response", "created_at": "2026-01-20T13:37:41Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 2213, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "a3a3e9b11051dd9e", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20509, "url": "https://github.com/run-llama/llama_index/issues/20509", "title": "[Bug]: The official DashScope multi-modal example (dashscope_multi_modal.ipynb) fails when calling `complete()` with `ImageDocument` objects loaded from URLs", "created_at": "2026-01-21T07:42:48Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 3252, "A_failure_type": "A3_compatibility", "A_confidence": 0.635, "A_evidence": "t error -> 1026 raise AttributeError(f'{type(self).__name__!r} object has no attribute {item!r}') 1027 1028 def __setattr__(self, name: str, value: Any)", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ed98e9c621592280", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20525, "url": "https://github.com/run-llama/llama_index/issues/20525", "title": "[Bug]: LlamaParse v2 outputs HTML tables even with output_tables_as_markdown=true", "created_at": "2026-01-22T13:43:03Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 1, "labels": "bug;triage", "body_len": 3904, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "857f7124b75264aa", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20530, "url": "https://github.com/run-llama/llama_index/issues/20530", "title": "[Bug]: DashScope LLM integration always sends empty `tool_calls` for assistant messages, causing Qwen/DashScope validation failure", "created_at": "2026-01-23T10:42:58Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 4829, "A_failure_type": "A2_tool_integration", "A_confidence": 0.79, "A_evidence": "[Bug]: DashScope LLM integration always sends empty `tool_calls` for assistant messages, causing Qwen/DashScope validation failure", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d03bc5c42a8aa2fb", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20533, "url": "https://github.com/run-llama/llama_index/issues/20533", "title": "[Bug]: Cohere class from llms doesn't allow specifying a base_url", "created_at": "2026-01-23T14:46:02Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 2699, "A_failure_type": "A7_configuration", "A_confidence": 0.604, "A_evidence": "``` class Cohere(FunctionCallingLLM): \"\"\" Cohere LLM. Examples: `pip install llama-index-llms-cohere` ```python from llama_index.llms.cohere im", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.74, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "fe0aaccc5abe75cd", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20539, "url": "https://github.com/run-llama/llama_index/issues/20539", "title": "[Bug]: `truncate_text` returns output longer than `max_length` when `max_length < 3`", "created_at": "2026-01-25T13:18:04Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 479, "A_failure_type": "A5_context_memory", "A_confidence": 0.708, "A_evidence": "[Bug]: `truncate_text` returns output longer than `max_length` when `max_length < 3`", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e98434dfb70641ee", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20540, "url": "https://github.com/run-llama/llama_index/issues/20540", "title": "[Bug]: `Thread` crashes when `target=None`", "created_at": "2026-01-25T13:32:12Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 873, "A_failure_type": "A3_compatibility", "A_confidence": 0.664, "A_evidence": "ding.py\", line 953, in run self._target(*self._args, **self._kwargs) TypeError: run() missing 1 required positional argument ```", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4bae0d61c485b49b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20541, "url": "https://github.com/run-llama/llama_index/issues/20541", "title": "[Bug]: `parse_partial_json` misclassifies incomplete string values and drops existing content", "created_at": "2026-01-25T13:53:05Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 980, "A_failure_type": "A5_context_memory", "A_confidence": 0.622, "A_evidence": "ng incomplete JSON string values. For inputs where a string value is truncated (e.g. missing the closing quote), the function incorrectly treats t", "B_cause_class": "B6_context_management", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.676, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5533274bdf11a494", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20558, "url": "https://github.com/run-llama/llama_index/issues/20558", "title": "[Bug]: On-prem Nvidia Reranker ignores API key", "created_at": "2026-01-27T01:18:15Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 1531, "A_failure_type": "A7_configuration", "A_confidence": 0.916, "A_evidence": "[Bug]: On-prem Nvidia Reranker ignores API key", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "584c007624bd2ec3", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20575, "url": "https://github.com/run-llama/llama_index/issues/20575", "title": "[Bug]: ValueError in Workflow (Empty Message crash)", "created_at": "2026-01-28T13:39:00Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 7477, "A_failure_type": "A2_tool_integration", "A_confidence": 0.682, "A_evidence": "ally hosted) as well as GPT OSS 120B (both fail from time to time). - MCP-Tools and Servers (only one exposed at a time for testing, few tools", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fd09f7f245825c3a", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20585, "url": "https://github.com/run-llama/llama_index/issues/20585", "title": "[Bug]: to_openai_message_dict inside openai utils does not follow openai api", "created_at": "2026-01-29T23:11:28Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 3787, "A_failure_type": "A2_tool_integration", "A_confidence": 0.628, "A_evidence": "out the color, its meaning, or its use in design, feel free to ask!\",\"tool_calls\":[]},\"finish_reason\":\"stop\"}],\"created\":1769728120,\"model\":\"Mistral-S", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:2hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "64ca4ad01e970035", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20587, "url": "https://github.com/run-llama/llama_index/issues/20587", "title": "[Bug]: llm_retry_decorator do not supports async methods", "created_at": "2026-01-30T05:23:47Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1211, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "1b9a718e5379b724", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20597, "url": "https://github.com/run-llama/llama_index/issues/20597", "title": "[Bug]:", "created_at": "2026-01-30T14:31:56Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 4545, "A_failure_type": "A1_functionality", "A_confidence": 0.7, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f58c44f900904475", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20601, "url": "https://github.com/run-llama/llama_index/issues/20601", "title": "[Bug]: BM25 Retriever with chroma DB fails", "created_at": "2026-01-31T14:50:04Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 4384, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2c6423b9311399f6", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20614, "url": "https://github.com/run-llama/llama_index/issues/20614", "title": "[Bug]: Parser Type Setting Does Not Persist - Always Defaults to \"Agentic\"", "created_at": "2026-02-02T22:51:32Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 973, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "4dd85477330a0470", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20620, "url": "https://github.com/run-llama/llama_index/issues/20620", "title": "[Bug]: FalkorDB PropertyGraphStore not creating MENTIONS relationships between Chunk and Entity nodes", "created_at": "2026-02-04T02:10:39Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 4521, "A_failure_type": "A7_configuration", "A_confidence": 0.804, "A_evidence": "ta falkordb/falkordb:latest ``` ### 2. Install Dependencies ```bash pip install llama-index-core llama-index-graph-stores-falkordb llama-index-llms-o", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.709, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:4hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "233bf68ce9c19718", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20623, "url": "https://github.com/run-llama/llama_index/issues/20623", "title": "[Bug]: ValueError: Path 'llm' not found in state", "created_at": "2026-02-04T12:40:53Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 2190, "A_failure_type": "A3_compatibility", "A_confidence": 0.688, "A_evidence": "__getattr__ raise AttributeError( AttributeError: 'DictState' object has no attribute 'llm' During handling of the above exception, another exception occu", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f28c01f0f33c2af1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20625, "url": "https://github.com/run-llama/llama_index/issues/20625", "title": "[Bug]:", "created_at": "2026-02-04T19:42:21Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "bug;triage", "body_len": 563, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "3f8debaf132cdfc9", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20629, "url": "https://github.com/run-llama/llama_index/issues/20629", "title": "[Bug]: SchemaLLMPathExtractor generates incompatible JSON schemas for GPT and Gemini APIs", "created_at": "2026-02-05T10:14:39Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "bug;triage", "body_len": 8184, "A_failure_type": "A6_data_structure", "A_confidence": 0.605, "A_evidence": "s ### Bug Description ## Summary `SchemaLLMPathExtractor` generates Pydantic schemas with `\"additionalProperties\": true` in nested `anyOf` schemas", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.597, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "669f7fb77e427f86", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20645, "url": "https://github.com/run-llama/llama_index/issues/20645", "title": "[Bug]: Inconsistent handling of metadata_separator in TextNode", "created_at": "2026-02-06T23:48:58Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 3249, "A_failure_type": "A6_data_structure", "A_confidence": 0.778, "A_evidence": "s, you will see that it defines the `metadata_separator` field with a Pydantic `alias` to the incorrect spelling with an \"e\". Additionally, [`BaseNo", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "42670e969779f8fb", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20660, "url": "https://github.com/run-llama/llama_index/issues/20660", "title": "[Bug]: fix(tests): update mock prompt type in mock_prompts.py", "created_at": "2026-02-09T18:47:19Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 1078, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "06e881a78d3c1dfd", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20685, "url": "https://github.com/run-llama/llama_index/issues/20685", "title": "[Bug]: MilvusVectorStore exception when instantiating if creating collection when using Pymilvus 2.6.8+", "created_at": "2026-02-12T00:16:05Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 2179, "A_failure_type": "A3_compatibility", "A_confidence": 0.716, "A_evidence": "king on MilvusClient and not the ORM objects anymore which is causing incompatibilities (especially around the Connections object management). ### Ve", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "66155c0bce9a29bc", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20699, "url": "https://github.com/run-llama/llama_index/issues/20699", "title": "[Bug]: Broken link to SEC Chatbot example from Financial Analysis page", "created_at": "2026-02-13T21:37:59Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 969, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", 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That means the whole turn is dropped without a", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D4_minor", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "eb119c0c48e4256f", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20904, "url": "https://github.com/run-llama/llama_index/issues/20904", "title": "[Bug]: `SubQuestionQueryEngine` partial-failure handling breaks on non-ValueError exceptions", "created_at": "2026-03-06T15:31:29Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 6008, "A_failure_type": "A6_data_structure", "A_confidence": 0.553, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ac9632587309f8fc", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 20912, "url": "https://github.com/run-llama/llama_index/issues/20912", "title": "[Bug]: Silent fallback to OpenAI in Retrievers and Indexes compromises Air-Gapped/Local-First deployments", "created_at": "2026-03-08T01:46:40Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 6, "reactions": 1, "labels": "bug;triage", "body_len": 3813, "A_failure_type": "A7_configuration", "A_confidence": 0.79, "A_evidence": ". Instead, it throws an OpenAI specific error: ```text ValueError: No API key found for OpenAI. 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Build an async age", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A3_compatibility:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b4012d81fa2b3b78", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21124, "url": "https://github.com/run-llama/llama_index/issues/21124", "title": "[Bug]: Multiple bugs in llama-index-llms-openai", "created_at": "2026-03-23T17:41:55Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 10952, "A_failure_type": "A2_tool_integration", "A_confidence": 0.713, "A_evidence": "inimal reproduction. --- ## 1. 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"body_len": 3600, "A_failure_type": "A2_tool_integration", "A_confidence": 0.671, "A_evidence": "ror code: 400 - {'error': {'message': \"Invalid type for 'messages[3].tool_calls[0].function.arguments': expected a string, but got an object instead", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A4_communication:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "535b9482a0dde2f3", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21385, "url": "https://github.com/run-llama/llama_index/issues/21385", "title": "[Bug]: falsy metadata values stored as None in Azure AI Search index", "created_at": "2026-04-14T09:09:59Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;stale;triage", "body_len": 645, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "773d5b82e8efe664", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21397, "url": "https://github.com/run-llama/llama_index/issues/21397", "title": "[Bug]: Refine ignores `query_satisfied=True` when `structured_answer_filtering=True`", "created_at": "2026-04-16T06:23:12Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1443, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "da4ff3a289c41ca4", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21408, "url": "https://github.com/run-llama/llama_index/issues/21408", "title": "[Bug]: Missing AgentStream.thinking_delta when using Anthropic LLM with FunctionAgent", "created_at": "2026-04-17T17:15:40Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 1782, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "17fc2e7640b6e3fd", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21420, "url": "https://github.com/run-llama/llama_index/issues/21420", "title": "[Bug]: Error with Bedrock's `global.amazon.nova-2-lite-v1:0`", "created_at": "2026-04-20T10:55:47Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 834, "A_failure_type": "A7_configuration", "A_confidence": 0.624, "A_evidence": "again. ``` ### Version 0.14.20 ### Steps to Reproduce ```shell uv pip install --upgrade llama-index-llms-bedrock ``` ```python from llama_index.llm", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b0d5a1864cab2bb1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21422, "url": "https://github.com/run-llama/llama_index/issues/21422", "title": "[Bug]: LLMChatEndEvent.model_dump() mutates ChatResponse.raw in-place, corrupting caller's response object", "created_at": "2026-04-20T13:34:27Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 1, "labels": "bug;triage", "body_len": 3761, "A_failure_type": "A6_data_structure", "A_confidence": 0.672, "A_evidence": "t was returned to the caller, this converts `ChatResponse.raw` from a Pydantic model instance to a plain dict โ€” permanently, for the caller. Impact", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:3hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1d6af7187250559f", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21441, "url": "https://github.com/run-llama/llama_index/issues/21441", "title": "[Bug]: TreeSelectLeafRetriever query path returns empty source_nodes", "created_at": "2026-04-22T02:36:33Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 2768, "A_failure_type": "A1_functionality", "A_confidence": 0.649, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "60ffac1bad7b31af", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21444, "url": "https://github.com/run-llama/llama_index/issues/21444", "title": "[Bug]: QueryFusionRetriever ignores `retriever_weights` when `mode=\"reciprocal_rerank\"`", "created_at": "2026-04-22T05:40:16Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 1820, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "7336b5c63ac5e373", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21483, "url": "https://github.com/run-llama/llama_index/issues/21483", "title": "[Bug]: RedisVectorStore returns corrupted node IDs in add/async_add due to misuse of .strip()", "created_at": "2026-04-26T13:46:06Z", "year": 2026, "state": "open", "state_reason": null, "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 2138, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "aa9641ea544291e8", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21495, "url": "https://github.com/run-llama/llama_index/issues/21495", "title": "[Bug]: ImportError: cannot import name '_ContextManagerWrapper' with weaviate-client v4.20.5", "created_at": "2026-04-27T10:30:39Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 988, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "[Bug]: ImportError: cannot import name '_ContextManagerWrapper' with weaviate-client v4.20.5", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:5hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "08e387ab12c40ae1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21512, "url": "https://github.com/run-llama/llama_index/issues/21512", "title": "Arbitrary file read via ImageDocument.metadata[\"file_path\"] in image_documents_to_base64", "created_at": "2026-04-30T08:27:33Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 4567, "A_failure_type": "A2_tool_integration", "A_confidence": 0.49, "A_evidence": "that ingest user-influenced input into `ImageDocument` (or that allow tool calls to construct one), an attacker can read arbitrary files the process h", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits;A:A8_performance:1hits;A:A9_safety:1hits;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6d053ffcb408dc91", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21518, "url": "https://github.com/run-llama/llama_index/issues/21518", "title": "[Bug]: `refresh_ref_docs()` / `arefresh_ref_docs()` drop kwargs after the first document in a batch", "created_at": "2026-04-30T18:44:11Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 1217, "A_failure_type": "A1_functionality", "A_confidence": 0.61, "A_evidence": "insert_kwargs` and `update_kwargs` passed to `refresh_ref_docs()` are silently dropped after the first matching document because the method calls `.pop()", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "72ce7ee4ff40f1dc", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21532, "url": "https://github.com/run-llama/llama_index/issues/21532", "title": "[Bug]: DashScope DashScope MultimodalEmbedding embedding failed", "created_at": "2026-05-01T10:14:42Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 905, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "38ac32238ca61906", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21535, "url": "https://github.com/run-llama/llama_index/issues/21535", "title": "[Bug]: gemini-embedding-2 task instructions not implemented (task_type deprecated)", "created_at": "2026-05-01T19:02:11Z", "year": 2026, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 4241, "A_failure_type": "A3_compatibility", "A_confidence": 0.645, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:2hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "78597ac0381335d6", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21555, "url": "https://github.com/run-llama/llama_index/issues/21555", "title": "[Bug]: `ContextVar` not propagated on non-`async` tool execution.", "created_at": "2026-05-05T16:23:00Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 3864, "A_failure_type": "A2_tool_integration", "A_confidence": 0.708, "A_evidence": "execution the Python contextvars context must be propagated into the tool call so that ContextVar.get() returns the value set on the calling contex", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "b4c5b03b3051b30d", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21579, "url": "https://github.com/run-llama/llama_index/issues/21579", "title": "[Bug]: Bedrock Converse streaming produces string `tool_kwargs` in `ToolCallBlock` instead of dict", "created_at": "2026-05-06T17:37:23Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "bug;triage", "body_len": 4203, "A_failure_type": "A2_tool_integration", "A_confidence": 0.543, "A_evidence": "ring directly without parsing: ```python ToolCallBlock( tool_kwargs=tool_call.get(\"input\", {}), # โ† still a JSON string, not a dict tool_name=tool", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure;R2:tool-precedence", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8ba00491c6faea2f", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 21582, "url": "https://github.com/run-llama/llama_index/issues/21582", "title": "[Bug]: from_openai_message misses vLLM-served Qwen3 reasoning field (uses 'reasoning' instead of 'reasoning_content')", "created_at": "2026-05-07T05:37:48Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 6489, "A_failure_type": "A2_tool_integration", "A_confidence": 0.723, "A_evidence": "essage | keys' ``` Output: ```json [\"content\", \"reasoning\", \"role\", \"tool_calls\", ...] ``` Note the field is `reasoning`, not `reasoning_content`.", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "a360ed5579f7aaf3", "framework": "LlamaIndex", "repo": "run-llama/llama_index", 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Did you mean: 'encode'? ```", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "306274faf04fcdfe", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22134, "url": "https://github.com/run-llama/llama_index/issues/22134", "title": "[Bug]: Tool schema marks **kwargs as a required (untyped) parameter, forcing the LLM to fill it", "created_at": "2026-06-25T02:40:53Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 1206, "A_failure_type": "A2_tool_integration", "A_confidence": 0.749, "A_evidence": "[Bug]: Tool schema marks **kwargs as a required (untyped) 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0.65, "A_evidence": "## Version 0.14.23 ### Steps to Reproduce 1. Install the package: pip install llama-index-llms-openai 2. Instantiate OpenAIResponses with an O1 mo", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.863, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f424f13a2e950dc2", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22772, "url": "https://github.com/run-llama/llama_index/issues/22772", "title": "MetadataReplacementPostProcessor crashes with ValidationError when target metadata key is present but None", "created_at": "2026-08-21T15:41:08Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 4993, "A_failure_type": "A6_data_structure", "A_confidence": 0.782, "A_evidence": "MetadataReplacementPostProcessor crashes with ValidationError when target metadata key is present but None", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:4hits;A:A7_configuration:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1a028d064cd86dc2", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22774, "url": "https://github.com/run-llama/llama_index/issues/22774", "title": "[Bug]: CohereRerank raises raw KeyError instead of the intended ValueError when COHERE_API_KEY is missing", "created_at": "2026-08-21T18:47:57Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 1864, "A_failure_type": "A7_configuration", "A_confidence": 0.76, "A_evidence": "Rerank.__init__` is supposed to raise a friendly `ValueError` when no API key is passed and `COHERE_API_KEY` is not set. The lookup uses `os.enviro", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dc7ad9a115d8222e", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22839, "url": "https://github.com/run-llama/llama_index/issues/22839", "title": "[Bug]: Nltk version v3.10.3 with important vul fixes cannot be used in llama-index-core", "created_at": "2026-08-26T07:32:41Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 1, "labels": "bug;triage", "body_len": 3052, "A_failure_type": "A9_safety", "A_confidence": 0.721, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C8_runtime_other", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "be406cb96f8406e1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22846, "url": "https://github.com/run-llama/llama_index/issues/22846", "title": "[Bug]: Using DeepSeek with LlamaIndex causes a 400 Bad Request because LlamaIndex calls the deprecated /v1/completions text endpoint instead of chat.", "created_at": "2026-08-26T16:15:12Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "bug;triage", "body_len": 1573, "A_failure_type": "A7_configuration", "A_confidence": 0.652, "A_evidence": "5.0) ### Steps to Reproduce Install llama-index required packages: `pip install llama-index@latest llama-index-llms-openai-like@latest` Code Implemen", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c4460c36679c33b3", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22858, "url": "https://github.com/run-llama/llama_index/issues/22858", "title": "[Bug]: TokenTextSplitter emits chunks one token over chunk_size because splits are budgeted unstripped", "created_at": "2026-08-28T01:31:12Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 2867, "A_failure_type": "A5_context_memory", "A_confidence": 0.877, "A_evidence": "l reason to set it: the request comes back as a 400, or gets silently truncated, for a chunk the splitter said was in budget. `SentenceSplitter` s", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d7ddb4b6e4c93841", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22929, "url": "https://github.com/run-llama/llama_index/issues/22929", "title": "[Bug]: FunctionTool wraps a returned ToolOutput as a success and drops is_error", "created_at": "2026-09-02T07:09:46Z", "year": 2026, "state": "open", "state_reason": null, "comments": 6, "reactions": 0, "labels": "", "body_len": 3793, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "71aa0aa000af1a90", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22943, "url": "https://github.com/run-llama/llama_index/issues/22943", "title": "[Bug]: MCP tool failures are reported to the agent as successes", "created_at": "2026-09-03T01:35:47Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 1994, "A_failure_type": "A2_tool_integration", "A_confidence": 0.57, "A_evidence": "[Bug]: MCP tool failures are reported to the agent as successes", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f8d479afac22b063", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22949, "url": "https://github.com/run-llama/llama_index/issues/22949", "title": "[Bug]: LLMChatStartEvent payload lacks model/temperature, breaking OTel gen_ai.request.* span attributes", "created_at": "2026-09-03T16:40:42Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 2955, "A_failure_type": "A7_configuration", "A_confidence": 0.65, "A_evidence": "0.62.3 ### Steps to Reproduce 1. Install the packages: ```shell pip install llama-index-core==0.14.24 llama-index-llms-openai-like==0.8.0 opentel", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.74, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D4_minor", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "73f0770a10e67c36", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22956, "url": "https://github.com/run-llama/llama_index/issues/22956", "title": "[Bug]: NameError in RedisChatStore when redis is not accessible", "created_at": "2026-09-04T13:25:57Z", "year": 2026, "state": "open", "state_reason": null, "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 3919, "A_failure_type": "A1_functionality", "A_confidence": 0.742, "A_evidence": "[Bug]: NameError in RedisChatStore when redis is not accessible", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:connectionerror->A8_performance;EXC:connectionrefused->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6c53a2738c6b3297", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22970, "url": "https://github.com/run-llama/llama_index/issues/22970", "title": "Ollama: think=False is coerced to None (falls back to self.thinking) in chat/stream_chat/achat/astream_chat", "created_at": "2026-09-06T14:21:48Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 1953, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "4db8a4f6a85c48a7", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 22975, "url": "https://github.com/run-llama/llama_index/issues/22975", "title": "[Bug]: managed-lancedb: every multimodal retrieval raises TypeError (NodeWithScore built with a positional node)", "created_at": "2026-09-07T08:21:44Z", "year": 2026, "state": "open", "state_reason": null, "comments": 4, "reactions": 0, "labels": "", "body_len": 3455, "A_failure_type": "A6_data_structure", "A_confidence": 0.651, "A_evidence": "`BaseComponent(BaseModel)` and defines no `__init__`, so it inherits pydantic v2's `def __init__(self, /, **data)` โ€” `self` is positional-only and", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7368fbbda168ccf1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23027, "url": "https://github.com/run-llama/llama_index/issues/23027", "title": "[Bug]: CodeSplitter chunk_lines and chunk_lines_overlap are silently ignored", "created_at": "2026-09-11T20:04:33Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 2577, "A_failure_type": "A7_configuration", "A_confidence": 0.743, "A_evidence": "verified on current main, 4adeecc and later) ### Steps to Reproduce pip install llama-index-core tree_sitter_language_pack ```python from llama_inde", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A7_configuration:4hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "830d4ce44bf62a52", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23051, "url": "https://github.com/run-llama/llama_index/issues/23051", "title": "[Bug]: max_iterations and early_stopping_method passed to .run() are ignored when the Context is reused", "created_at": "2026-09-14T13:58:28Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 4949, "A_failure_type": "A2_tool_integration", "A_confidence": 0.783, "A_evidence": "up.\"\"\" return \"still looking\" # An LLM that always requests another tool call, so a run only ends at max_iterations. tool_call = ChatMessage( role", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f6c66bde30ec552c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23058, "url": "https://github.com/run-llama/llama_index/issues/23058", "title": "[Bug]: MediaResource.hash is platform-dependent for paths โ€” test_hash fails on Windows", "created_at": "2026-09-15T01:09:57Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "bug;triage", "body_len": 3193, "A_failure_type": "A6_data_structure", "A_confidence": 0.655, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D4_minor", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "28df19a4b6796bac", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23068, "url": "https://github.com/run-llama/llama_index/issues/23068", "title": "[Bug]: llama-index-vector-stores-qdrant caps requires-python at <3.14, blocking Python 3.14", "created_at": "2026-09-15T13:55:48Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 3783, "A_failure_type": "A2_tool_integration", "A_confidence": 0.578, "A_evidence": "10,<4.0` | โœ… | | `llama-index-llms-ollama` 0.11.0, `llama-index-tools-mcp` 0.6.0, `llama-index-readers-file` 0.7.0 | `>=3.10,<4.0` | โœ… | | `lla", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f74faa9948eae102", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23072, "url": "https://github.com/run-llama/llama_index/issues/23072", "title": "[Bug]: LLM and pydantic selectors silently route to the last choice on 0-indexed answers", "created_at": "2026-09-16T03:22:17Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 2786, "A_failure_type": "A6_data_structure", "A_confidence": 0.689, "A_evidence": "[Bug]: LLM and pydantic selectors silently route to the last choice on 0-indexed answers", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fe58789fe1bff1ff", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23080, "url": "https://github.com/run-llama/llama_index/issues/23080", "title": "[Bug]: CodeActAgent raises UnboundLocalError at codeact_agent.py:110 when code_act_system_prompt is a BasePromptTemplate and system_prompt is left at None", "created_at": "2026-09-16T04:45:11Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "", "body_len": 4379, "A_failure_type": "A7_configuration", "A_confidence": 0.58, "A_evidence": "9d9c0d5` Reproduced with Python 3.11.16 on macOS (Darwin 25.6.0). No API key or network access is needed โ€” the repro uses `MockLLM`. ### Steps to", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "354d76e3512a0402", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23086, "url": "https://github.com/run-llama/llama_index/issues/23086", "title": "[Bug] LanceDBVectorStore.delete(), delete_nodes(), and get_nodes() build invalid SQL predicates โ€” broke after lancedb#3825 changed double-quote parsing", "created_at": "2026-09-16T18:52:53Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 3510, "A_failure_type": "A3_compatibility", "A_confidence": 0.657, "A_evidence": ", single quotes mean string literal. Right fix on Lance's side, but a breaking change for anyone relying on the old lenient parsing โ€” including this packag", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6327b5622c843687", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23131, "url": "https://github.com/run-llama/llama_index/issues/23131", "title": "[Bug]: FunctionalAgent error TypeError: cannot use 'weakref.ReferenceType' as a dict key (unhashable type: 'FunctionAgent')", "created_at": "2026-09-19T04:23:11Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "bug;triage", "body_len": 1003, "A_failure_type": "A3_compatibility", "A_confidence": 0.646, "A_evidence": "[Bug]: FunctionalAgent error TypeError: cannot use 'weakref.ReferenceType' as a dict key (unhashable type: '", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8efeb3ff529b1756", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23132, "url": "https://github.com/run-llama/llama_index/issues/23132", "title": "[Bug]: IngestionPipeline.run(num_workers>1) can hang indefinitely when NLTK data must be downloaded", "created_at": "2026-09-19T06:15:59Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 4205, "A_failure_type": "A8_performance", "A_confidence": 0.798, "A_evidence": "ndex/core/utils.py` calls `nltk.download(...)` synchronously, with no timeout and no stale-lock handling. 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"A_confidence": 0.638, "A_evidence": "syncio from typing import Any, Sequence from llama_index.core.bridge.pydantic import BaseModel, Field from llama_index.core.llms.mock import MockFu", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.667, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9d1386d2e738e65b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23144, "url": "https://github.com/run-llama/llama_index/issues/23144", "title": "[Bug]: Memory silently evicts the system message from chat history once the token limit is reached", "created_at": "2026-09-19T16:01:51Z", "year": 2026, "state": "open", "state_reason": null, 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"2026-09-20T22:58:09Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 2273, "A_failure_type": "A1_functionality", "A_confidence": 0.793, "A_evidence": "[Bug]: StreamingAgentChatResponse silently drops ThinkingBlock and ToolCallBlock when writing to history", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "30864d61fe9fa934", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23153, "url": "https://github.com/run-llama/llama_index/issues/23153", "title": "[Bug]: BaseWorkflowAgent.init_run and AgentWorkflow.init_run raise IndexError when chat_history has no user messages", "created_at": "2026-09-21T00:19:47Z", "year": 2026, "state": "open", "state_reason": null, "comments": 5, "reactions": 0, "labels": "", "body_len": 1895, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8bca51aa84a4fc3b", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23199, "url": "https://github.com/run-llama/llama_index/issues/23199", "title": "[Bug]: PrevNextNodePostprocessor loses retrieved scores when neighbor windows overlap", "created_at": "2026-09-23T00:15:43Z", "year": 2026, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "", "body_len": 1707, "A_failure_type": "A6_data_structure", "A_confidence": 0.769, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "6e242eaba6fedb54", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23207, "url": "https://github.com/run-llama/llama_index/issues/23207", "title": "[Bug]: Claude Opus 5.5 on Bedrock: BedrockConverse rejects its inference profile IDs, and structured_predict gets 400 on forced toolChoice", "created_at": "2026-09-23T07:57:59Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 1, "labels": "", "body_len": 3940, "A_failure_type": "A2_tool_integration", "A_confidence": 0.659, "A_evidence": "lse` it sends `{\"auto\": {}}`, and Opus 5.5 answered with `stopReason: tool_use` on every input I tried. Proposed fix: add the ID next to `anthropic", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1b6a9916e3d51a42", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23211, "url": "https://github.com/run-llama/llama_index/issues/23211", "title": "[Bug]: BedrockConverse can't use OpenAI GPT-6 Sol/Luna/Astra (model ID rejected, then 400 because temperature is always sent)", "created_at": "2026-09-23T10:28:04Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 1, "labels": "", "body_len": 4808, "A_failure_type": "A5_context_memory", "A_confidence": 0.849, "A_evidence": "TED_MODELS` and `BEDROCK_NO_TEMP_MODELS`. I couldn't find a published context window yet, so I'd use 128000 like gpt-oss; a 127,996-token input was accept", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.792, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9d9beafaee141cd6", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23222, "url": "https://github.com/run-llama/llama_index/issues/23222", "title": "[Bug]: llms-anthropic 0.12.0 rejects claude-opus-5-5 during metadata lookup and agent initialization", "created_at": "2026-09-24T17:53:57Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 3794, "A_failure_type": "A5_context_memory", "A_confidence": 0.869, "A_evidence": "should expose valid model metadata, including the documented 1M-token context window, so default agent memory can initialize. **Observed cause:** `Anthro", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B6_context_management", "B_confidence": 0.623, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9bff6d50f00226af", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23224, "url": "https://github.com/run-llama/llama_index/issues/23224", "title": "[Bug]: Nodes split from already-split nodes never get a NEXT relationship, and their start/end_char_idx are relative to the parent chunk", "created_at": "2026-09-24T20:04:57Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 4250, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "833e03911b6340a5", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23243, "url": "https://github.com/run-llama/llama_index/issues/23243", "title": "[Bug]: ReActAgent handoff leaves stale current_reasoning in ctx.store, contaminating the next turn's prompt and memory", "created_at": "2026-09-25T18:41:33Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 7425, "A_failure_type": "A2_tool_integration", "A_confidence": 0.647, "A_evidence": "ges]) item = gen.queue.pop(0) if isinstance(item, tuple): content, tool_calls = item return ChatMessage(role=MessageRole.ASSISTANT, content=conten", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "be065338c09819f7", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23247, "url": 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"2026-09-27T23:04:45Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 5484, "A_failure_type": "A6_data_structure", "A_confidence": 0.873, "A_evidence": "[Bug]: MediaResource raises KeyError instead of ValidationError when path fails validation", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:5hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "06a63aa85a916939", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23282, "url": "https://github.com/run-llama/llama_index/issues/23282", "title": "[Bug]: MarkdownNodeParser closes a code block on a shorter backtick fence", "created_at": "2026-09-28T01:51:49Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 3091, "A_failure_type": "A1_functionality", "A_confidence": 0.702, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A9_safety:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "fdaaf1ac6069df9c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23288, "url": "https://github.com/run-llama/llama_index/issues/23288", "title": "[Bug]: CBEvent assigns generated uuid to self.id instead of self.id_, so events without an id all share id_=\"\"", "created_at": "2026-09-28T09:29:59Z", "year": 2026, "state": "open", "state_reason": null, "comments": 4, "reactions": 0, "labels": "bug;triage", "body_len": 1332, "A_failure_type": "A6_data_structure", "A_confidence": 0.769, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "4d9f045238a6beee", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23297, "url": "https://github.com/run-llama/llama_index/issues/23297", "title": "[Bug]: max_iterations=0 is silently replaced by the default 20", "created_at": "2026-09-28T17:19:19Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 2002, "A_failure_type": "A2_tool_integration", "A_confidence": 0.902, "A_evidence": "agent.run(user_msg=\"test\", max_iterations=0) ``` The mock answers a tool call first and a final answer second. ### Relevant Logs/Tracebacks ``` $", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "ec77811f20ad0613", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23307, "url": "https://github.com/run-llama/llama_index/issues/23307", "title": "[Bug]: FunctionTool drops postponed annotations, so Context tools and Pydantic params break", "created_at": "2026-09-29T10:53:58Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 2062, "A_failure_type": "A6_data_structure", "A_confidence": 0.908, "A_evidence": "[Bug]: FunctionTool drops postponed annotations, so Context tools and Pydantic params break", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e205bc3c61ae409c", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23322, "url": "https://github.com/run-llama/llama_index/issues/23322", "title": "[Bug]: MarkdownNodeParser treats more than six opening hashes as a heading", "created_at": "2026-10-01T01:27:04Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 2107, "A_failure_type": "A7_configuration", "A_confidence": 0.637, "A_evidence": "el still split. The reproduction uses only local text and requires no API key, GPU or model downloads. ### Relevant Logs/Tracebacks ```shell Orig", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "8c1ae1a003502f99", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23325, "url": "https://github.com/run-llama/llama_index/issues/23325", "title": "[Bug]: llama-index-embeddings-azure-openai 0.6.0 is still dependent on llama-index-llms-azure-openai>=0.4.0,<0.6", "created_at": "2026-10-01T16:21:54Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;triage", "body_len": 950, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "d7a1a3a5e03518fc", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23326, "url": "https://github.com/run-llama/llama_index/issues/23326", "title": "[Bug]: RetrieverEvaluator, MultiModalRetrieverEvaluator and ObjectRetriever.aretrieve still call sync postprocess_nodes() in async paths", "created_at": "2026-10-01T17:57:47Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 3860, "A_failure_type": "A6_data_structure", "A_confidence": 0.864, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e65b3b4b0c94f9ca", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23332, "url": "https://github.com/run-llama/llama_index/issues/23332", "title": "[Bug]: Relative score fusion corrupts rankings when cached results share score wrappers", "created_at": "2026-10-02T09:23:52Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 3654, "A_failure_type": "A7_configuration", "A_confidence": 0.647, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "36b49edc5ceb9e70", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23334, "url": "https://github.com/run-llama/llama_index/issues/23334", "title": "[Bug]: SimpleFileNodeParser ignores custom id_func for supported file types", "created_at": "2026-10-02T11:06:41Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 1851, "A_failure_type": "A6_data_structure", "A_confidence": 0.769, "A_evidence": "", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "7ef1ab8144b53a1e", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23339, "url": "https://github.com/run-llama/llama_index/issues/23339", "title": "[Bug]: RankLLMRerank cannot be imported without vllm installed, regardless of reranking backend", "created_at": "2026-10-02T14:27:18Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;good first issue;triage", "body_len": 3739, "A_failure_type": "A7_configuration", "A_confidence": 0.617, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:4hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "57dc9f3114776144", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23351, "url": "https://github.com/run-llama/llama_index/issues/23351", "title": "[Bug]: reciprocal_rerank and simple fusion still mutate retriever-owned score wrappers", "created_at": "2026-10-03T20:53:59Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "", "body_len": 6641, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "270342ee1a036c44", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23359, "url": "https://github.com/run-llama/llama_index/issues/23359", "title": "[Bug]: KeywordTable.node_ids raises on an empty keyword index", "created_at": "2026-10-04T15:25:40Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 1530, "A_failure_type": "A3_compatibility", "A_confidence": 0.721, "A_evidence": "bleIndex` is valid, but reading its `index_struct.node_ids` raises a `TypeError` instead of returning an empty set. The same happens after deleting t", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "efe7c97d8140b2f8", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23366, "url": "https://github.com/run-llama/llama_index/issues/23366", "title": "[Bug]: BedrockConverse can't use OpenAI GPT-6.1 Sol or Claude Fable 5.1 (model IDs rejected; Fable 5.1 also rejects forced toolChoice)", "created_at": "2026-10-05T08:20:29Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 4424, "A_failure_type": "A5_context_memory", "A_confidence": 0.685, "A_evidence": "add `openai.gpt-6.1-sol` wherever `openai.gpt-6-sol` is (four lists; context window 1,000,000 per its [AWS model card](https://docs.aws.amazon.com/bedroc", "B_cause_class": "B6_context_management", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.625, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fcc9ae19d4d18feb", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23376, "url": "https://github.com/run-llama/llama_index/issues/23376", "title": "[Bug]: md_to_df adds a column or returns None with CRLF/trailing row whitespace", "created_at": "2026-10-05T14:35:29Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 2121, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "3ac93c36c38c31a4", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23391, "url": "https://github.com/run-llama/llama_index/issues/23391", "title": "[Bug]: parse_json_markdown loses literal JSON fence markers inside valid payloads", "created_at": "2026-10-05T18:00:58Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 2033, "A_failure_type": "A5_context_memory", "A_confidence": 0.685, "A_evidence": "a marker inside the JSON payload is treated as another delimiter and truncates the selected value. The resulting empty extraction reaches the YAML", "B_cause_class": "B6_context_management", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.676, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "15d70bc1f41d73e9", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23395, "url": "https://github.com/run-llama/llama_index/issues/23395", "title": "[Bug]: Not able to update llama-index-llm-openai", "created_at": "2026-10-05T21:52:53Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 796, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e3257baa241409bc", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23399, "url": "https://github.com/run-llama/llama_index/issues/23399", "title": "[Bug]: vLLM notebook fails with unsupported swap_space and best_of arguments", "created_at": "2026-10-06T09:29:20Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 1545, "A_failure_type": "A3_compatibility", "A_confidence": 0.924, "A_evidence": "M.__init__ -> EngineArgs(...) TypeError: EngineArgs.__init__() got an unexpected keyword argument 'swap_space' 2. Completion fails after removing swap_space. Initiali", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:4hits;A:A7_configuration:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ef0ea8801d4ec5e5", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23429, "url": "https://github.com/run-llama/llama_index/issues/23429", "title": "[Bug]: RecursiveRetriever incorrectly converts zero scores to 1.0", "created_at": "2026-10-09T02:52:30Z", "year": 2026, "state": "open", "state_reason": null, "comments": 2, "reactions": 0, "labels": "bug;triage", "body_len": 2570, "A_failure_type": "A1_functionality", "A_confidence": 0.576, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5a6b3f4ffa7cfef1", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23440, "url": "https://github.com/run-llama/llama_index/issues/23440", "title": "[Bug]: QdrantVectorStore numeric `EQ`/`NE` filters depend on int vs float and miss float payloads", "created_at": "2026-10-09T16:02:20Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "bug;triage", "body_len": 3342, "A_failure_type": "A6_data_structure", "A_confidence": 0.903, "A_evidence": "`MatchExcept` accepts only strings or integers, so pydantic raises `ValidationError`. A float payload is common: any amount parsed as `float` (prices, r", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6d9a33e898453f8a", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23444, "url": "https://github.com/run-llama/llama_index/issues/23444", "title": "[Bug]: HierarchicalNodeParser async methods return the documents unsplit", "created_at": "2026-10-10T03:01:37Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 3541, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "17f0426cfc8c7127", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23445, "url": "https://github.com/run-llama/llama_index/issues/23445", "title": "[Bug]: LLM.predict_and_call raises ValidationError without react_chat_formatter", "created_at": "2026-10-10T03:01:40Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 4506, "A_failure_type": "A6_data_structure", "A_confidence": 0.932, "A_evidence": "[Bug]: LLM.predict_and_call raises ValidationError without react_chat_formatter", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E2_external_test", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dfa67f4de13fde33", "framework": "LlamaIndex", "repo": "run-llama/llama_index", "issue_number": 23446, "url": "https://github.com/run-llama/llama_index/issues/23446", "title": "[Bug]: Refine with streaming=True and output_cls returns \"Empty Response\"", "created_at": "2026-10-10T03:01:41Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 4553, "A_failure_type": "A6_data_structure", "A_confidence": 0.751, "A_evidence": "ponse\")`. With `streaming=False` the same setup returns the expected `PydanticResponse`. 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In `BaseChatStore` and other chat stores (`SimpleChatStore`, `Postg", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "9b4f3efe6eb7ebf5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1", "title": "mac ่ฟ่กŒ็จ‹ๅบๅคฑ่ดฅ", "created_at": "2023-07-03T01:46:58Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 3158, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "EXC:filenotfounderror->A7_configuration;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5cf2d821e1272fbf", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 4, "url": "https://github.com/FoundationAgents/MetaGPT/issues/4", "title": "windows่ฟ่กŒๆŠฅ้”™", "created_at": "2023-07-04T05:06:45Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 917, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "odule> from metagpt.utils.common import mermaid_to_file ImportError: cannot import name 'mermaid_to_file' from 'metagpt.utils.common' (D:\\MetaGPT\\metagpt\\met", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1eda28f0434267df", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 9, "url": "https://github.com/FoundationAgents/MetaGPT/issues/9", "title": "No module named 'win32_setctime'", "created_at": "2023-07-06T03:07:29Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 1403, "A_failure_type": "A3_compatibility", "A_confidence": 0.651, "A_evidence": "No module named 'win32_setctime'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e983167ab449eb56", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 11, "url": "https://github.com/FoundationAgents/MetaGPT/issues/11", "title": "parse_codeๆŠฅ้”™", "created_at": "2023-07-06T08:34:27Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "enhancement", "body_len": 1776, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", 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"exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c2a0e4932f7ebfb5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 21, "url": "https://github.com/FoundationAgents/MetaGPT/issues/21", "title": "any idea what I am doing wrong here ?", "created_at": "2023-07-07T17:33:19Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 10, "reactions": 0, "labels": "", "body_len": 925, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9f41ce3450f95208", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 22, "url": "https://github.com/FoundationAgents/MetaGPT/issues/22", "title": "ๆ็คบ่ฟ™ไธช้”™่ฏฏๆ˜ฏไธๆ˜ฏๆฒกๆœ‰่ตฐ็ณป็ปŸไปฃ็†๏ผŒๆˆ‘่ฎพ็ฝฎๅ…จๅฑ€ไนŸๆ˜ฏ่ฟ™ไธช้”™่ฏฏ๏ผŒๆ˜ฏไธๆ˜ฏ้œ€่ฆๆ”นๅŠจไปฃ็ ๆ‰่ƒฝ่ตฐไปฃ็†ๅ‘ข๏ผŸ", "created_at": "2023-07-08T17:03:45Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 6151, "A_failure_type": "A8_performance", "A_confidence": 0.785, "A_evidence": "e 540, in connect proto = await self._create_connection(req, traces, timeout) File \"E:\\programData\\Anaconda3\\envs\\py3.9\\lib\\site-packages\\aiohttp", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A8_performance:1hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3cac5cbc03ada2ce", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 23, "url": "https://github.com/FoundationAgents/MetaGPT/issues/23", "title": "ModuleNotFoundError: No module named 'termcolor'", "created_at": "2023-07-09T04:28:06Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "", "body_len": 1163, "A_failure_type": "A3_compatibility", "A_confidence": 0.629, "A_evidence": "ModuleNotFoundError: No module named 'termcolor'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:third-party-package->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b072f1e13a523801", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 32, "url": "https://github.com/FoundationAgents/MetaGPT/issues/32", "title": "TypeError: issubclass() arg 1 must be a class when running startup.py", "created_at": "2023-07-11T03:12:18Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 4738, "A_failure_type": "A6_data_structure", "A_confidence": 0.693, "A_evidence": ".py\", line 54, in class BaseEmbaasLoader(BaseModel): File \"pydantic/main.py\", line 204, in pydantic.main.ModelMetaclass.__new__ File \"py", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.676, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;EXC:outputparserexception->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3293d68cf0b8b56a", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 38, "url": "https://github.com/FoundationAgents/MetaGPT/issues/38", "title": "TypeError: issubclass() arg 1 must be a class", "created_at": "2023-07-12T11:24:24Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "", "body_len": 4187, "A_failure_type": "A6_data_structure", "A_confidence": 0.722, "A_evidence": ".py\", line 54, in class BaseEmbaasLoader(BaseModel): File \"pydantic/main.py\", line 204, in pydantic.main.ModelMetaclass.__new__ File \"py", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;EXC:outputparserexception->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6257121149bf3685", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 39, "url": "https://github.com/FoundationAgents/MetaGPT/issues/39", "title": "RetryError[]", "created_at": "2023-07-12T13:02:58Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "enhancement", "body_len": 9311, "A_failure_type": "A6_data_structure", "A_confidence": 0.845, "A_evidence": "RetryError[]", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.635, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": 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"FoundationAgents/MetaGPT", "issue_number": 145, "url": "https://github.com/FoundationAgents/MetaGPT/issues/145", "title": "MacOS Install Issues", "created_at": "2023-08-07T17:25:11Z", "year": 2023, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 1, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.591, "A_evidence": "pypa.io/get-pip.py -o get-pip.py python3 get-pip.py` So, then I can `pip install numpy==1.24.3` then cython needed, so `pip install cython` So try aga", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4b383fb150dfe819", "framework": 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"state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8551, "A_failure_type": "A6_data_structure", "A_confidence": 0.827, "A_evidence": "ished raised RetryError>] /opt/homebrew/lib/python3.11/site-packages/pydantic/functional_serializers.py:272: UserWarning: Pydantic serializer warni", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.583, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:2hits;A:A6_data_structure:4hits;A:A8_performance:1hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "032bc9f3458fbb6b", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 737, "url": "https://github.com/FoundationAgents/MetaGPT/issues/737", "title": "unsupported 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"้‡‡็”จๆœ€ๆ–ฐ็‰ˆๆœฌ็š„metagpt่ฟ่กŒๅฎžไพ‹demoๅผ‚ๅธธ,ๅผ‚ๅธธไฟกๆฏไธบopenai.types.completion_usage.CompletionUsage() argument after ** must be a mapping, not NoneType", "created_at": "2024-05-08T09:04:28Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "", "body_len": 6217, "A_failure_type": "A8_performance", "A_confidence": 0.635, "A_evidence": "0, in aask rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout)) File \"C:\\Users\\glh19\\MetaGPT\\MetaGPT\\lib\\", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8f86633a0dde2c59", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1261, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1261", "title": "cannot import name 'Message' from 'anthropic.types", "created_at": "2024-05-10T14:00:55Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 5032, "A_failure_type": "A3_compatibility", "A_confidence": 0.705, "A_evidence": "cannot import name 'Message' from 'anthropic.types", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:5hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1275, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1275", "title": "Function _achat_completion_stream in metagpt/provider/openai_api.py produced TypeError: openai.types.completion_usage.CompletionUsage() argument after ** must be a mapping, not NoneType", "created_at": "2024-05-15T08:48:36Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug", "body_len": 1913, "A_failure_type": "A3_compatibility", "A_confidence": 0.659, "A_evidence": "n _achat_completion_stream in metagpt/provider/openai_api.py produced TypeError: openai.types.completion_usage.CompletionUsage() argument after ** mu", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ebff8bb72790ba52", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1287, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1287", "title": "ValueError: SHA could not be resolved, git returned: b''", "created_at": "2024-05-22T01:22:46Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 7150, "A_failure_type": "A7_configuration", "A_confidence": 0.637, "A_evidence": "method: git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e . **Screenshots or logs** 2024-05-22 01:06:27.179 | E", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bd4f1961f56a3a35", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1297, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1297", "title": "ReAct loop can not stop gracefully, usually not stop.", "created_at": "2024-05-24T08:59:09Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "inactive", "body_len": 2297, "A_failure_type": "A3_compatibility", "A_confidence": 0.712, "A_evidence": "rc.todo.name})\") ^^^^^^^^^^^^^^^^^ AttributeError: 'NoneType' object has no attribute 'name' During handling of the above exception, another exception occ", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "53d5ed8de6f4df09", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1309, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1309", "title": "RuntimeError: Request failed, msg: {\"error\":{\"code\":\"1214\",\"message\":\"messages[4]:contentๅ’Œtool_calls ๅญ—ๆฎตไธ่ƒฝๅŒๆ—ถไธบ็ฉบ\"}}, please ref to `https://open.bigmodel.cn/dev/api#error-code-v3`", "created_at": "2024-05-29T08:49:47Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 3419, "A_failure_type": "A8_performance", "A_confidence": 0.551, "A_evidence": "2, in aask rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout)) File \"/home/tanjiaxian/miniconda3/envs/me", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dfc49d030fae7ed1", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1313, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1313", "title": "AttributeError: 'Message' object has no attribute 'restricted_to'", "created_at": "2024-05-30T18:43:31Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "", "body_len": 4811, "A_failure_type": "A3_compatibility", "A_confidence": 0.674, "A_evidence": "AttributeError: 'Message' object has no attribute 'restricted_to'", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1d8ce261aeb459a8", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1322, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1322", "title": "Unable to run metagpt", "created_at": "2024-06-05T08:49:42Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 2318, "A_failure_type": "A6_data_structure", "A_confidence": 0.843, "A_evidence": "โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ ValidationError: 1 validation error for Config llm.api_key Value error, Please set y", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:2hits;A:A7_configuration:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5b9e56334b3011e8", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1323, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1323", "title": "ๅœจ่ฟ่กŒๆกˆไพ‹ๆ—ถๆŠฅ้”™๏ผŒๆฑ‚่งฃๅ†ณ", "created_at": "2024-06-05T09:35:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1965, "A_failure_type": "A6_data_structure", "A_confidence": 0.542, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5512a22bedc13ff6", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1329, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1329", "title": "Can't run when role is assistant", "created_at": "2024-06-06T07:37:30Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1678, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;EXC:timeouterror->A8_performance;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9905df3c52aae526", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1330, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1330", "title": "\"researcher\" can't run on Ubuntu", "created_at": "2024-06-06T09:30:01Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 8013, "A_failure_type": "A7_configuration", "A_confidence": 0.648, "A_evidence": "lone https://github.com/geekan/MetaGPT.git cd /your/path/to/MetaGPT pip install -e . 2.2 pip install -e .[rag] 2.3 pip install playwright play", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:3hits;A:A8_performance:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "068d484e805a6a98", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1331, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1331", "title": "An error occurred while running the code", "created_at": "2024-06-06T10:38:08Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 8089, "A_failure_type": "A8_performance", "A_confidence": 0.803, "A_evidence": "eturn await self.simple_fill(schema=schema, mode=mode, images=images, timeout=timeout, exclude=exclude) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.583, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A8_performance:3hits;EXC:ratelimiterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "01025c75dd243545", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1335, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1335", "title": "Run werewolf_game error", "created_at": "2024-06-11T07:54:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 7831, "A_failure_type": "A6_data_structure", "A_confidence": 0.912, "A_evidence": "n/encoder.py\", line 439, in _iterencode o = _default(o) ^^^^^^^^^^^ pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize u", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ea46e8c3fabed686", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1336, "url": 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"https://github.com/FoundationAgents/MetaGPT/issues/1344", "title": "FileNotFoundError: [Errno 2] No such file or directory: 'config/config2.yaml'", "created_at": "2024-06-13T07:01:20Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1323, "A_failure_type": "A6_data_structure", "A_confidence": 0.606, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:1hits;A:A6_data_structure:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "de50462bcb27e7ad", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1346, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1346", "title": "Exception: Connection Error", "created_at": "2024-06-13T12:23:37Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 3331, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.654, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:1hits;EXC:connectionerror->A8_performance;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "414bc923588f44b8", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1356, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1356", "title": "Research role fails if some of Serpapi searches return no results", "created_at": "2024-06-19T09:38:29Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4468, "A_failure_type": "A3_compatibility", "A_confidence": 0.76, "A_evidence": "system_text=research_system_text) for (query, url) in links.items()) TypeError: run() missing 1 required positional argument: 'url' ``` ``` Tracebac", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "26914afe9d8c1792", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1372, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1372", "title": "RAG with GPT-4o: `Calculated available context size -271 was not non-negative` LlamaIndex exception.", "created_at": "2024-06-28T07:57:28Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 7366, "A_failure_type": "A5_context_memory", "A_confidence": 0.801, "A_evidence": ", 269 ) -> List[str]: 270 \\\"\\\"\\\"Repack text chunks to fit available context window. 271 272 This will combine text chunks into consolidated chunks 2", "B_cause_class": "B6_context_management", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.74, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": 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"10028ce3ecd35511", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1380, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1380", "title": "TypeError from 'async for'", "created_at": "2024-07-03T22:35:13Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 777, "A_failure_type": "A8_performance", "A_confidence": 0.566, "A_evidence": "v1 content = await self.llm.aask(prompt, system_msgs, images=images, timeout=timeout) TypeError: 'async for' requires an object with __aiter__ met", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"issue_number": 1383, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1383", "title": "Failing with Ollama after 6 Retries", "created_at": "2024-07-05T21:10:13Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 10698, "A_failure_type": "A6_data_structure", "A_confidence": 0.692, "A_evidence": "ling it. exp: RetryError[] Understood! I will follow your instructions and generate the output", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.762, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:2hits;A:A6_data_structure:3hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "664e0685175ade06", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1393, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1393", "title": "ไฝฟ็”จๆœฌๅœฐ้ƒจ็ฝฒ็š„ๅคงๆจกๅž‹ๆŠฅ Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 123.000(s), raised JSONDecodeError>]", "created_at": "2024-07-12T10:55:30Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 8875, "A_failure_type": "A6_data_structure", "A_confidence": 0.91, "A_evidence": "gpt.actions.action_node.ActionNode._aask_v1' after 123.000(s), raised JSONDecodeError>]", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.671, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:2hits;A:A6_data_structure:4hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "19db3079de0774a6", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1430, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1430", "title": "DO NOT FORCE VALIDATE '{'Required Python packages'}' by default", "created_at": "2024-07-31T15:42:54Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1433, "A_failure_type": "A6_data_structure", "A_confidence": 0.925, "A_evidence": "alidate_python(data, self_instance=self) pydantic_core._pydantic_core.ValidationError: 1 validation error for PM_NODE_AN Value error, Missing fields: {'Re", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bafce95a17d2df2b", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1461, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1461", "title": "Unable to run llm_vision.py example / pass any images to Action._aask()", "created_at": "2024-08-22T20:02:50Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4859, "A_failure_type": "A8_performance", "A_confidence": 0.646, "A_evidence": "_aask rsp = await self.llm.acompletion_text(message, stream=stream, timeout = self.llm.get_timeout(USE_CONFIG_TIMEOUT)) File \"/Users/tanishq/.py", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "35c139430ac23134", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1462, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1462", "title": "API openrouter does not work", "created_at": "2024-08-23T17:22:08Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 4088, "A_failure_type": "A1_functionality", "A_confidence": 0.788, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cf0cae713b6f3ea9", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1475, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1475", "title": "tenacity.RetryError", "created_at": "2024-09-09T09:54:07Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 6983, "A_failure_type": "A6_data_structure", "A_confidence": 0.587, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A6_data_structure:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6f05461a2f7b942e", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1476, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1476", "title": "RAGๅŽไธ่ƒฝ็”จGPT-4o่ฟ›่กŒquery", "created_at": "2024-09-10T07:11:40Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 12, "reactions": 0, "labels": "", "body_len": 2156, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B6_context_management", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.74, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9246288c826486d5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1477, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1477", "title": "Cannot install due to old numpy version being used by metagpt", "created_at": "2024-09-10T23:10:52Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "inactive", "body_len": 3084, "A_failure_type": "A3_compatibility", "A_confidence": 0.829, "A_evidence": "find_on_path) ^^^^^^^^^^^^^^^^^^^ AttributeError: module 'pkgutil' has no attribute 'ImpImporter'. Did you mean: 'zipimporter'? [end of output] note:", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e7c30eef64e9d9ac", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1478, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1478", "title": "self.rc.env.publish_message(msg) faield", "created_at": "2024-09-14T08:04:02Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 5099, "A_failure_type": "A6_data_structure", "A_confidence": 0.714, "A_evidence": "s/metagpt/roles/role.py\", line 555, in run self.publish_message(rsp) pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:3hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8c25f791981a5481", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1568, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1568", "title": "[bug] Can not download the dataset of SELA", "created_at": "2024-11-03T15:26:43Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "inactive", "body_len": 1102, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "EXC:filenotfounderror->A7_configuration;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f85f60ee54800d10", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1583, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1583", "title": "TypeError: 'NoneType' object is not iterable", "created_at": "2024-11-08T03:44:22Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 2352, "A_failure_type": "A6_data_structure", "A_confidence": 0.721, "A_evidence": "n executed example , logs info below :** 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"labels": "inactive", "body_len": 6439, "A_failure_type": "A7_configuration", "A_confidence": 0.712, "A_evidence": "allation is working at the moment out of the box. **Bug not solved** pip install metagpt is not working (tried 40 minutes, with an created environment", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:3hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3d055a5eb4b9e723", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1622, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1622", "title": "from metagpt.tools.libs import calculate_factorial", "created_at": "2024-12-04T06:15:23Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 1275, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "ule> from metagpt.tools.libs import calculate_factorial ImportError: cannot import name 'calculate_factorial' from 'metagpt.tools.libs' (/opt/soft/venv/anaco", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d91c5196a1d2e5a5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1636, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1636", "title": "Fail to run demo: module 'proto' has no attribute 'module'", "created_at": "2024-12-10T10:19:19Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 6486, "A_failure_type": "A3_compatibility", "A_confidence": 0.886, "A_evidence": "Fail to run demo: module 'proto' has no attribute 'module'", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3f8c0b381a5cb8f5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1645, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1645", "title": "I tried to create an LLM instance, but it kept failing all the way! It's driving me crazy! It always returns none, but I don't know why!!!", "created_at": "2024-12-17T08:08:46Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 0, "labels": "", "body_len": 1877, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "_prompt = config.use_system_prompt AttributeError: 'NoneType' object has no attribute 'api_type'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e8f2bf5451fdc56b", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1648, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1648", "title": "json.decoder.JSONDecodeError", "created_at": "2024-12-24T06:49:19Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4009, "A_failure_type": "A6_data_structure", "A_confidence": 0.826, "A_evidence": "json.decoder.JSONDecodeError", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:jsondecodeerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b81d0f2010fec4d3", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1650, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1650", "title": "can not use qwen-vl-max", "created_at": "2024-12-27T13:35:27Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 3124, "A_failure_type": "A8_performance", "A_confidence": 0.668, "A_evidence": "0, in aask rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout)) File \"/cpfs01/user/conda/envs/agent/lib/p", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "8144c0df99bcf167", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1655, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1655", "title": "ValueError: SHA could not be resolved, git returned: b''", 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application process", "created_at": "2025-01-06T20:15:39Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "inactive", "body_len": 6585, "A_failure_type": "A6_data_structure", "A_confidence": 0.766, "A_evidence": "._aask_v1' after 343.484(s), this was the 6th time calling it. exp: 1 validation error for PM_NODE_AN > Value error, Missing fields: {'Required Python pack", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B6_context_management", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A5_context_memory:2hits;A:A6_data_structure:4hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "92de542ea9634197", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1663, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1663", "title": "้‡ๅˆฐไธชbug tenacity.RetryError: RetryError[]", "created_at": "2025-01-12T13:45:31Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "inactive", "body_len": 5621, "A_failure_type": "A6_data_structure", "A_confidence": 0.778, "A_evidence": "parsed_data = CustomDecoder(strict=False).decode(output) json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) The above exception was t", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A8_performance:1hits;EXC:jsondecodeerror->A6_data_structure", 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"issue_number": 1707, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1707", "title": "openai.types.completion_usage.CompletionUsage() argument after ** must be a mapping, not NoneType", "created_at": "2025-02-20T12:19:21Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "", "body_len": 6447, "A_failure_type": "A8_performance", "A_confidence": 0.635, "A_evidence": "0, in aask rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout)) File \"/home/ubuntu/venv1/lib/python3.10/s", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} 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"D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4627421ecbbfabf3", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1734, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1734", "title": "FileNotFoundError: [Errno 2] No such file or directory: 'my_env/bin/Activate.ps1'", "created_at": "2025-03-03T08:04:27Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "inactive", "body_len": 610, "A_failure_type": "A6_data_structure", "A_confidence": 0.723, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "df2bb1761e8c053f", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1743, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1743", "title": "ๆ‰ง่กŒmetagpt \"Create a 2048 game\"ๅŽๆŠฅ้”™", "created_at": "2025-03-06T16:33:55Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 6225, "A_failure_type": "A3_compatibility", "A_confidence": 0.795, "A_evidence": "โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ TypeError: AsyncClient.__init__() got an unexpected keyword argument 'proxies' ```", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f00662d841dab655", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1745, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1745", "title": "FileNotFoundError with Log file", "created_at": "2025-03-07T22:28:19Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 1, "labels": "inactive", "body_len": 3971, "A_failure_type": "A7_configuration", "A_confidence": 0.724, "A_evidence": "version: `3.11.11` - MetaGPT version or branch: Whatever comes with `pip install --upgrade metagpt` - packages version: - installation method: *", "B_cause_class": 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"state_reason": "completed", "comments": 3, "reactions": 1, "labels": "inactive", "body_len": 3933, "A_failure_type": "A6_data_structure", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "07a66a24509e8504", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1763, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1763", "title": "TypeError: dataclass() got an unexpected keyword argument 'slots'", "created_at": "2025-03-15T06:53:33Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 5, "labels": "inactive", "body_len": 1067, "A_failure_type": 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"A_confidence": 0.716, "A_evidence": "ex.vector_stores.milvus import MilvusVectorStore ModuleNotFoundError: No module named 'llama_index.vector_stores.milvus'๏ผ› ๅฎ‰่ฃ…'llama_index.vector_stores.milv", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:5hits;A:A7_configuration:3hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "df97e3e5d3ff2157", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1775, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1775", "title": "I have run metagpt successfully 2 weeks ago, but today i meet this error", "created_at": "2025-03-20T06:07:15Z", 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"completed", "comments": 3, "reactions": 0, "labels": "inactive", "body_len": 4741, "A_failure_type": "A8_performance", "A_confidence": 0.66, "A_evidence": "rsp = await self.acompletion_text(compressed_message, stream=stream, timeout=self.get_timeout(timeout)) File \"/mnt/d/.github/MetaGPT/myenv/lib/py", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "61c4831ddb679ea7", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1783, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1783", "title": "Crash after running for a period of time", "created_at": "2025-03-22T05:07:28Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 3732, "A_failure_type": "A6_data_structure", "A_confidence": 0.627, "A_evidence": "Error: 'command_name' /home/xdien/.venv/lib/python3.10/site-packages/pydantic/_internal/_std_types_schema.py:319: UserWarning: Pydantic serializer", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:3hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "594ff6bcc24f6e01", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1791, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1791", "title": 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"C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:2hits;A:A7_configuration:2hits;EXC:validationerror->A6_data_structure", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cf7203846945e5e5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1841, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1841", "title": "Pydantic serializer warnings: Expected `enum` but got `str` with value `'react'` - serialized value may not be as expected return handler(v)", "created_at": "2025-05-27T08:23:02Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 1, "labels": "inactive", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.801, "A_evidence": "Pydantic serializer warnings: Expected `enum` but got `str` with value `'react", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:3hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "eba84415a48fd82d", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1843, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1843", "title": "KeyError: 'command_name' issue", "created_at": "2025-05-28T07:17:01Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "inactive", "body_len": 3177, "A_failure_type": "A6_data_structure", "A_confidence": 0.913, "A_evidence": "e' /home/hc.rhee/anaconda3/envs/metagpt/lib/python3.11/site-packages/pydantic/_internal/_std_types_schema.py:319: UserWarning: Pydantic serializer", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f1ae38482a3f585d", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1859, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1859", "title": "MetaGPT agent cannot generate code or files with Gemini-2.5-Flash backend due to shell command and prompt blocking limitations", "created_at": "2025-07-10T14:09:47Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 5247, "A_failure_type": "A7_configuration", "A_confidence": 0.569, "A_evidence": "- packages version: (as per requirements.txt) - installation method: pip install from source **Screenshots or logs** - Agent output shows repeated at", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "bb95186706a38d2c", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1862, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1862", "title": "A looong bug maybe caused by `ssh` or another.", "created_at": "2025-07-20T04:40:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.602, "A_evidence": "**Screenshots or logs** ``` D:\\Apps\\MetaGPT\\.venv\\Lib\\site-packages\\pydantic\\main.py:214: UserWarning: A custom validator is returning a value oth", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B6_context_management", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3ac4ce2feee7b7a5", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1868, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1868", "title": "python 3.9 is not allowed", "created_at": "2025-08-15T04:06:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 1, "labels": "inactive", "body_len": 1207, "A_failure_type": "A3_compatibility", "A_confidence": 0.927, "A_evidence": "35, in @dataclass(slots=True) TypeError: dataclass() got an unexpected keyword argument 'slots' (metagpt) PS D:\\allinone\\metacompany\\MetaGPT> python --versio", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A6_data_structure:1hits;EXC:unexpected keyword argument->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9890f8f7b0be722c", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1880, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1880", "title": "GPT-5 not supported max_tokens must be max_completion_tokens", "created_at": "2025-09-03T05:58:17Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "inactive", "body_len": 1145, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "17ef918399904e3e", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1888, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1888", "title": "I cannot run the multi agent example without a team leader", "created_at": "2025-09-27T22:26:07Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "inactive", "body_len": 2353, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "77918d6dbaa15277", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1895, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1895", "title": "Error with create a game 2048. May be in repo_to_markdown.py", "created_at": "2025-11-02T12:35:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "inactive", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.603, "A_evidence": "/main - packages version: repo_to_markdown.py - installation method: pip install from source **Screenshots or logs** (MetaGPT) PS D:\\proj_open_code\\M", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "528791fe8c81e29f", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1899, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1899", "title": "[Bug] MetaGPT + Ollama fails with TypeError: async for requires aiter method (streaming response issue)", "created_at": "2025-11-16T14:56:55Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "inactive", "body_len": 2107, "A_failure_type": "A3_compatibility", "A_confidence": 0.705, "A_evidence": "[Bug] MetaGPT + Ollama fails with TypeError: async for requires aiter method (streaming response issue)", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e1314b3ef18a4847", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 1903, "url": "https://github.com/FoundationAgents/MetaGPT/issues/1903", "title": "window่ฟ่กŒmainๅˆ†ๆ”ฏไธๅ…ผๅฎน", "created_at": "2025-12-18T03:51:13Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "inactive", "body_len": 5636, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:1hits;EXC:filenotfounderror->A7_configuration;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0e69097ddae1ec2d", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 2007, "url": "https://github.com/FoundationAgents/MetaGPT/issues/2007", "title": "Incremental mode crashes with \"ValueError: Call with_srcs first.\" in WriteCode", "created_at": "2026-04-13T08:46:13Z", "year": 2026, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "inactive", "body_len": 2698, "A_failure_type": "A7_configuration", "A_confidence": 0.571, "A_evidence": "n a local Python 3.11 virtual environment - installation method: - `pip install metagpt` **Screenshots or logs** Relevant traceback: ```text Traceb", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "13e5415d4998f0f7", "framework": "MetaGPT", "repo": "FoundationAgents/MetaGPT", "issue_number": 2110, "url": "https://github.com/FoundationAgents/MetaGPT/issues/2110", "title": "Terminal.run_command() hangs indefinitely on Linux/WSL2 โ€” end-of-command marker never yielded from splitlines/tuple-unpack", "created_at": "2026-07-20T06:20:33Z", "year": 2026, "state": "open", "state_reason": null, "comments": 6, "reactions": 0, "labels": "inactive", "body_len": 3687, "A_failure_type": "A8_performance", "A_confidence": 0.709, "A_evidence": ": t = Terminal() out = await asyncio.wait_for(t.run_command(\"pwd\"), timeout=10) print(\"got:\", repr(out)) asyncio.run(main()) PY ``` Expected:", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E3_human_observation", "matched_rules": "A:A7_configuration:2hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "3bddbb2317cff777", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 30, "url": "https://github.com/openai/openai-agents-python/issues/30", "title": "ImportError: cannot import name 'Reasoning' from 'openai.types.responses.response_output_item'", "created_at": "2025-03-11T22:08:59Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 1151, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "ImportError: cannot import name 'Reasoning' from 'openai.types.responses.response_output_item'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4724f5654edd18c6", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 63, "url": "https://github.com/openai/openai-agents-python/issues/63", "title": "AttributeError: 'CompletionUsage' object has no attribute 'input_tokens'", "created_at": "2025-03-12T07:09:41Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug", "body_len": 6983, "A_failure_type": "A3_compatibility", "A_confidence": 0.715, "A_evidence": "AttributeError: 'CompletionUsage' object has no attribute 'input_tokens'", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A4_communication:1hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b225ec898cdcbac4", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 66, "url": "https://github.com/openai/openai-agents-python/issues/66", "title": "response_format: response_format.type `json_schema`", "created_at": "2025-03-12T08:07:58Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "question", "body_len": 6563, "A_failure_type": "A4_communication", "A_confidence": 0.65, "A_evidence": "> None: self.event_counter += 1 print( f\"### {self.event_counter}: Handoff from {from_agent.name} to {to_agent.name}. Usage: {self._usage_to_str", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A4_communication:3hits;A:A6_data_structure:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "20370621d21431e2", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 71, "url": "https://github.com/openai/openai-agents-python/issues/71", "title": "max_tokens is not an accepted parameter", "created_at": "2025-03-12T09:22:15Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug", "body_len": 253, "A_failure_type": "A10_unknown", "A_confidence": 0.25, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C8_runtime_other", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "R4:below-threshold", "filter_reason": "labelled_bug", "taxonomy_version": "1.0"} {"record_id": "5794b45a26fd2897", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 92, "url": "https://github.com/openai/openai-agents-python/issues/92", "title": "Bug: Runner.run_sync and Converter.items_to_messages Rejects 'assistant' Role in Message Conversion Input", "created_at": "2025-03-12T16:21:50Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 1, "labels": "bug", "body_len": 2766, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b5ca76ef512ab535", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 97, "url": "https://github.com/openai/openai-agents-python/issues/97", "title": "[Bug] OPENAI_API_KEY is not set, skipping trace export", "created_at": "2025-03-12T17:35:11Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "bug", "body_len": 1271, "A_failure_type": "A4_communication", "A_confidence": 0.97, "A_evidence": "e=0.5), ) triage_agent = Agent( name=\"Triage agent\", instructions=\"Handoff to the appropriate agent based on the language of the request.\", han", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.74, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A4_communication:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2afae4aec937b9d0", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 107, "url": "https://github.com/openai/openai-agents-python/issues/107", "title": "Typo in tracing.md", "created_at": "2025-03-12T21:52:26Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 615, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "0f0bffa5f348ef0d", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 121, "url": "https://github.com/openai/openai-agents-python/issues/121", "title": "default OPENAI_TRACE_API_KEY set error", "created_at": "2025-03-13T06:20:15Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug", "body_len": 1150, "A_failure_type": "A7_configuration", "A_confidence": 0.842, "A_evidence": "float = 1.0, max_delay: float = 30.0, ): \"\"\" Args: api_key: The API key for the \"Authorization\" header. Defaults to `os.environ[\"OPENAI_TRAC", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "bf4d64a618badd70", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 122, "url": "https://github.com/openai/openai-agents-python/issues/122", "title": "AsyncOpenAI is not work", "created_at": "2025-03-13T07:02:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "bug", "body_len": 56, "A_failure_type": "A10_unknown", "A_confidence": 0.25, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C8_runtime_other", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "R4:below-threshold", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "af63ae0ce868406e", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 124, "url": "https://github.com/openai/openai-agents-python/issues/124", "title": "Using chat_completions for streaming output: 'CompletionUsage' object has no attribute 'input_tokens'", "created_at": "2025-03-13T07:26:11Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "bug", "body_len": 2500, "A_failure_type": "A3_compatibility", "A_confidence": 0.753, "A_evidence": "Using chat_completions for streaming output: 'CompletionUsage' object has no attribute 'input_tokens'", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d30f61727fca17f7", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 127, "url": "https://github.com/openai/openai-agents-python/issues/127", "title": "This event loop is already running", "created_at": "2025-03-13T09:06:21Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 438, "A_failure_type": "A4_communication", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B1_framework_defect", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C6_handoff", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A4_communication:1hits", "filter_reason": "labelled_bug", "taxonomy_version": "1.0"} {"record_id": "36fa0e173ad09e3c", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 129, "url": "https://github.com/openai/openai-agents-python/issues/129", "title": "BadRequestError while trying out input guardrails w/ Groq", "created_at": "2025-03-13T09:29:04Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "wontfix;feature:chat-completions", "body_len": 5748, "A_failure_type": "A6_data_structure", "A_confidence": 0.97, "A_evidence": "------------------------------------------------------------ ``` from pydantic import BaseModel from agents import ( Agent, GuardrailFunctionOutpu", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fd834d4dc8928474", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 130, "url": "https://github.com/openai/openai-agents-python/issues/130", "title": "Invalid API key for custom base URL", "created_at": "2025-03-13T09:34:26Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 11, "reactions": 0, "labels": "bug", "body_len": 1138, "A_failure_type": "A7_configuration", "A_confidence": 0.855, "A_evidence": "Invalid API key for custom base URL", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.652, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "ab07761c2f8dfcc5", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 135, "url": "https://github.com/openai/openai-agents-python/issues/135", "title": "Tracing client error 401๏ผšIncorrect API key provided", "created_at": "2025-03-13T12:56:27Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, "reactions": 2, "labels": "bug", "body_len": 1852, "A_failure_type": "A7_configuration", "A_confidence": 0.629, "A_evidence": "Tracing client error 401๏ผšIncorrect API key provided", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.626, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D2_incorrect_output", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "994fe68ae6a99f5f", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 141, "url": "https://github.com/openai/openai-agents-python/issues/141", "title": "Duplicate traces", "created_at": "2025-03-13T15:53:25Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 8013, "A_failure_type": "A2_tool_integration", "A_confidence": 0.877, "A_evidence": "tiplication_tool_crew with input {\"first_number\":3,\"second_number\":3} Tool call args: [3, 3], kwargs: {} Tool call args: [3, 3], kwargs: {} Tool mult", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": 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The agent has 4 python tools and one MCP server. 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This significantly delays real-time feedback in streaming ap", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5b0878ea62752ee6", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1288, "url": "https://github.com/openai/openai-agents-python/issues/1288", "title": "MCPServerStreamableHttp connection error corrupt next async calls", "created_at": "2025-07-28T18:49:59Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 2, "labels": "question;feature:mcp;skip-stale", "body_len": 7893, "A_failure_type": "A2_tool_integration", "A_confidence": 0.795, "A_evidence": 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0.97, "A_evidence": "ple in the repo results into this error: ``` Error getting response: cannot import name 'ResponseReasoningSummaryDoneEvent' from 'openai.types.responses' (/U", "B_cause_class": "B2_api_version_drift", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:3hits;EXC:cannot import name->A3_compatibility", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e09415f163fbd227", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1395, "url": "https://github.com/openai/openai-agents-python/issues/1395", "title": "Latest `openai` release (`1.99.2`) breaks `LitellmModel`.", "created_at": "2025-08-07T18:25:50Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 6, "labels": 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2025, "state": "closed", "state_reason": "completed", "comments": 26, "reactions": 10, "labels": "bug;feature:core", "body_len": 1330, "A_failure_type": "A1_functionality", "A_confidence": 0.827, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "e018d8717190f0f3", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1401, "url": "https://github.com/openai/openai-agents-python/issues/1401", "title": "ChatCompletionMessageToolCallParam can't not be converted with openai>=1.99.0", "created_at": "2025-08-08T07:11:00Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 6, 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"bug;feature:mcp", "body_len": 3478, "A_failure_type": "A2_tool_integration", "A_confidence": 0.836, "A_evidence": "if mcp initialize fails, the streaming hangs", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B8_application_logic", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f375c487cf683a59", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1409, "url": "https://github.com/openai/openai-agents-python/issues/1409", "title": "gpt-5 model fails to complete my tasks while gpt-4.1 completes", "created_at": "2025-08-08T12:43:36Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "bug;feature:core", "body_len": 6486, "A_failure_type": "A6_data_structure", "A_confidence": 0.525, "A_evidence": "datetime import datetime from typing import Any, Optional, List from pydantic import BaseModel, Field from scrapling.fetchers import StealthyFetche", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B5_model_limitation", "B_confidence": 0.612, "B_evidence_grade": "supported", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D3_degraded", "E_detection_point": "E4_production_monitoring", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "a68ec4d42aaa24c8", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1411, "url": "https://github.com/openai/openai-agents-python/issues/1411", "title": "TypeError: Cannot instantiate typing.Union", "created_at": "2025-08-10T05:38:20Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 2, "labels": "bug;duplicate", "body_len": 5823, "A_failure_type": "A7_configuration", "A_confidence": 0.646, "A_evidence": "mport ResponseTextDeltaEvent from google.colab import userdata # Get API keys GEMINI_API_KEY = userdata.get('GOOGLE_API_KEY') TAVILY_API_KEY = \"tv", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7e6c64ebd13124df", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1414, "url": "https://github.com/openai/openai-agents-python/issues/1414", "title": "Cannot use 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If it's even, stop. 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But the agents sdk is currently incompatible with them. Example of why this is necessary: ```python # this is n", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B2_api_version_drift", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:3hits;A:A7_configuration:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "f71c9e9264942bbd", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1882, "url": "https://github.com/openai/openai-agents-python/issues/1882", "title": "Using OpenAIConversationsSession causes a bug.", "created_at": "2025-10-11T12:22:26Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;feature:sessions", "body_len": 2732, "A_failure_type": "A5_context_memory", "A_confidence": 0.97, "A_evidence": "ctionality. This example shows how to use session memory to maintain conversation history across multiple agent runs without manually handling .to_input_list()", "B_cause_class": "B6_context_management", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A5_context_memory:3hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "c8d99c14de66cf94", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1900, "url": "https://github.com/openai/openai-agents-python/issues/1900", "title": "SQLAlchemySession get_items inconsistent retrieval", "created_at": "2025-10-15T18:55:18Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;feature:sessions", "body_len": 1857, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "db59d61e8ac4de80", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1907, "url": "https://github.com/openai/openai-agents-python/issues/1907", "title": "Realtime guardrails: \"Conversation already has an active response in progress\" error", "created_at": "2025-10-16T10:43:48Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 8, "reactions": 0, "labels": "bug;feature:realtime", "body_len": 1176, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c8d7ccfeb398d4eb", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1911, "url": "https://github.com/openai/openai-agents-python/issues/1911", "title": "โ€œUnknown parameter: 'input[1].status'โ€ when using GPT-5 with OpenAIConversationsSession", "created_at": "2025-10-16T19:25:25Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug", "body_len": 3212, "A_failure_type": "A7_configuration", "A_confidence": 0.723, "A_evidence": "AI_API_KEY\") if not OPENAI_API_KEY: raise ValueError(\"OPENAI_API_KEY environment variable must be set\") class AgentOutput(BaseModel): response: str = Field(d", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c37c0e3283e92fde", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1915, "url": "https://github.com/openai/openai-agents-python/issues/1915", "title": "Bug: Runner.run and Converter.extract_all_content rejects `input_audio` type even though it's defined in schema", "created_at": "2025-10-17T03:55:41Z", "year": 2025, "state": "closed", "state_reason": "completed", 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1083, "A_failure_type": "A2_tool_integration", "A_confidence": 0.77, "A_evidence": "rade of SDK response api interactions are failing after some function tool calls. Unsure if the below item in the session is causing issue ````json {", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:2hits;A:A3_compatibility:2hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "5da5dab09fc8bf8b", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1935, "url": "https://github.com/openai/openai-agents-python/issues/1935", "title": "`_fix_tool_message_ordering` only runs with reasoning enabled, breaks Anthropic without it", "created_at": "2025-10-19T14:41:43Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "bug;feature:extensions", "body_len": 395, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a590a459e0114d47", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1951, "url": "https://github.com/openai/openai-agents-python/issues/1951", "title": "Response cancellation broken due to tuple assignment bug in Realtime API", "created_at": "2025-10-21T04:45:48Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "bug;feature:realtime", "body_len": 1495, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B9_expectation_mismatch", "B_cause_secondary": "B10_unknown", "B_confidence": 0.777, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A1_functionality:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "cfaf4bc0bb548ae1", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 1973, "url": "https://github.com/openai/openai-agents-python/issues/1973", "title": "Usage tracking lost when streaming fails mid-request", "created_at": "2025-10-22T13:56:02Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 3, "reactions": 0, "labels": "bug;feature:core", "body_len": 1167, "A_failure_type": "A8_performance", "A_confidence": 0.691, "A_evidence": "ch happens for context window errors, mid-stream connection failures, rate limits, etc.), the loop exits without ever updating usage. **Fix Ideas**", "B_cause_class": 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"C_lifecycle_stage": "C3_prompt_assembly", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "2f721101dfc2e621", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 2009, "url": "https://github.com/openai/openai-agents-python/issues/2009", "title": "Realtime agents: truncations not handled by the SDK when interrupt on VAD is set.", "created_at": "2025-10-29T23:12:58Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "bug;feature:realtime", "body_len": 879, "A_failure_type": "A5_context_memory", "A_confidence": 0.691, "A_evidence": "Realtime agents: truncations not handled by the SDK when interrupt on VAD is set.", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.642, 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"C4_inference", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A3_compatibility:1hits;R4:residual-functionality", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "79bddc5712be08f1", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 2020, "url": "https://github.com/openai/openai-agents-python/issues/2020", "title": "Item with id `rs_` not found", "created_at": "2025-10-31T21:58:48Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 24, "reactions": 2, "labels": "bug;feature:core;server issue", "body_len": 3187, "A_failure_type": "A2_tool_integration", "A_confidence": 0.547, "A_evidence": "\"call_xkkWToQpzfvn0asJfDPo06Wj\", \"name\": \"how_many_jokes\", \"type\": \"function_call\", \"id\": \"fc_07a11282cddc707400690517253a148198a2dad52c744c22ce\", \"s", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E3_human_observation", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f90a393776171185", "framework": "OpenAI-Agents", "repo": "openai/openai-agents-python", "issue_number": 2032, "url": "https://github.com/openai/openai-agents-python/issues/2032", "title": "Structured Output fail with Claude Sonnet and DeepSeek providers", "created_at": "2025-11-03T04:36:59Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 11, "reactions": 0, "labels": "question;stale;feature:chat-completions", "body_len": 3885, "A_failure_type": "A6_data_structure", "A_confidence": 0.933, "A_evidence": "esult.final_output.model_dump() ``` ### Error **Claude Error:** ``` 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Did you mean: 'zipimporter'? 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{'error': {'code': '404', 'message': 'Resource not found'}}", "created_at": "2024-05-30T07:32:09Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "โ”question;โธ๏ธ clarification needed", "body_len": 7357, "A_failure_type": "A1_functionality", "A_confidence": 0.653, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "105f4dc5ce380a78", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 471, "url": "https://github.com/SWE-agent/SWE-agent/issues/471", "title": "Predictions for the following instance_ids were not found in the tasks file and will not be considered: SWE-agent__test-repo-i1", "created_at": "2024-05-31T16:19:17Z", "year": 2024, "state": "closed", "state_reason": "not_planned", "comments": 8, "reactions": 0, "labels": "โ”question", "body_len": 5465, "A_failure_type": "A7_configuration", "A_confidence": 0.637, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0f0794cf2f2b0945", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 473, "url": "https://github.com/SWE-agent/SWE-agent/issues/473", "title": "mkdocs fails on PRs", "created_at": "2024-05-31T19:32:17Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "๐Ÿงช CI", "body_len": 4172, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7724e5190c58cc19", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 514, "url": "https://github.com/SWE-agent/SWE-agent/issues/514", "title": "Failed to clean repository: /bin/bash: line 53: cd: SWE-agent__test-repo: No such file or directory", "created_at": "2024-06-03T18:17:53Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 3111, "A_failure_type": "A7_configuration", "A_confidence": 0.782, "A_evidence": "ode to Reproduce 1. Start GH Codespace 2. Update keys to include OPENAPI key 3. Run the recommended command ### Error message/results ``` DEBUG", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.792, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "39f6905947b36e0d", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 521, "url": "https://github.com/SWE-agent/SWE-agent/issues/521", "title": "Is container necessary to run SWE-agent?", "created_at": "2024-06-04T12:43:45Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "โ”question", "body_len": 2081, "A_failure_type": "A1_functionality", "A_confidence": 0.822, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A7_configuration:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "a1e5beb1d277fd3f", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 523, "url": "https://github.com/SWE-agent/SWE-agent/issues/523", "title": "Improve error message for missing `--traj_path` in `run_replay`", "created_at": "2024-06-04T14:37:38Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "โœจ enhancement", "body_len": 784, "A_failure_type": "A3_compatibility", "A_confidence": 0.97, "A_evidence": "aj if traj_path.endswith(\".yaml\"): AttributeError: 'NoneType' object has no attribute 'endswith' ```", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "4b6f17e8b87953c6", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 563, "url": "https://github.com/SWE-agent/SWE-agent/issues/563", "title": "How do I inference and evaluate on SWE-Bench faster by reusing previous built env?", "created_at": "2024-06-07T13:22:01Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "โ”question", "body_len": 3730, "A_failure_type": "A8_performance", "A_confidence": 0.849, "A_evidence": "the following error when creating environment: ``` ERROR Read with timeout failed on input: --- /bin/bash -n <<'EOF' source /root/.bashrc EO", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "6fd7d470fcb65970", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 569, "url": "https://github.com/SWE-agent/SWE-agent/issues/569", "title": "OPENAI_API_BASE_URL with port - semi colon issue", "created_at": "2024-06-10T19:46:00Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "โ”question", "body_len": 2419, "A_failure_type": "A1_functionality", "A_confidence": 0.72, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "59b11a9349993711", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 586, "url": "https://github.com/SWE-agent/SWE-agent/issues/586", "title": "` docker.errors.NotFound` when encountering exceptions", "created_at": "2024-06-18T21:53:11Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "", "body_len": 2200, "A_failure_type": "A7_configuration", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dd2dbac587b718bb", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 595, "url": "https://github.com/SWE-agent/SWE-agent/issues/595", "title": "`ValueError: Could not find process done marker in last line` for some invalid commands", "created_at": "2024-06-19T21:40:57Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 1484, "A_failure_type": "A8_performance", "A_confidence": 0.773, "A_evidence": "HOUGHT (primary) INFO ๐ŸŽฌ ACTION (primary) cd sdf sdf ERROR Read with timeout failed on input: --- cd sdf sdf --- ERROR Unknown exception Trace", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9d1931353f612416", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 614, "url": "https://github.com/SWE-agent/SWE-agent/issues/614", "title": "Empty trajectories should be overwritten instead of causing JSONDecodeError", "created_at": "2024-06-24T22:55:59Z", "year": 2024, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "โœจ enhancement", "body_len": 1203, "A_failure_type": "A6_data_structure", "A_confidence": 0.97, "A_evidence": "Empty trajectories should be overwritten instead of causing JSONDecodeError", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, 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0.65, "A_evidence": "โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ โ”‚ Validation error โ”‚ โ”‚ โ”‚ โ”‚ The following errors are raised by Pydantic, trying to instan", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c823762d0581dccc", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 978, "url": "https://github.com/SWE-agent/SWE-agent/issues/978", "title": "error parsing value for field \"env\" from source \"EnvSettingsSource\"", "created_at": "2025-02-26T14:51:57Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 16, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 2804, "A_failure_type": "A1_functionality", "A_confidence": 0.801, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.678, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:3hits;A:A3_compatibility:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ed96682b4b91971e", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 981, "url": "https://github.com/SWE-agent/SWE-agent/issues/981", "title": "Race condition: get_logger and modifying _ADDITIONAL_HANDLERS", "created_at": "2025-02-26T17:49:50Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 1185, "A_failure_type": "A1_functionality", "A_confidence": 0.97, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "70d9aff66a3ed3c8", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 985, "url": "https://github.com/SWE-agent/SWE-agent/issues/985", "title": "Agent doesn't die if runtime doesn't start within timeout", "created_at": "2025-02-26T21:47:00Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 1470, "A_failure_type": "A8_performance", "A_confidence": 0.882, "A_evidence": "Agent doesn't die if runtime doesn't start within timeout", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A7_configuration:1hits;A:A8_performance:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "e12e1bd237823eba", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1012, "url": "https://github.com/SWE-agent/SWE-agent/issues/1012", "title": "UnicodeEncodeError in Python Logging: Handling Emojis with cp1252 Encoding Issue", "created_at": "2025-03-06T00:51:24Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "๐Ÿ› bug;os:windows", "body_len": 2862, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2e4044585122e0c1", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1019, "url": "https://github.com/SWE-agent/SWE-agent/issues/1019", "title": "SWE-Agent Crashes When `{}` Appears in the Prompt", "created_at": "2025-03-11T19:52:01Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "โ”question", "body_len": 2060, "A_failure_type": "A1_functionality", "A_confidence": 0.732, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:2hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "57066e3af6bcef17", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1020, "url": "https://github.com/SWE-agent/SWE-agent/issues/1020", "title": "Running in google colab, I got FileNotFoundError: [Errno 2] No such file or directory: 'docker'.", "created_at": "2025-03-12T05:14:41Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4211, "A_failure_type": "A7_configuration", "A_confidence": 0.807, "A_evidence": "``` !git clone https://github.com/SWE-agent/SWE-agent.git !python -m pip install --upgrade pip && pip install --editable SWE-agent/. !sweagent run --a", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:2hits;A:A7_configuration:3hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "06562f76203f15f9", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1022, "url": "https://github.com/SWE-agent/SWE-agent/issues/1022", "title": "run batch processing with modal", "created_at": "2025-03-12T20:59:32Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 1, "labels": "๐Ÿ› bug", "body_len": 2276, "A_failure_type": "A6_data_structure", "A_confidence": 0.707, "A_evidence": "^^^^^^^^^^^^^^^^^^^^^^^^ File \"condaenv/lib/python3.11/site-packages/pydantic/main.py\", line 925, in __setattr__ raise ValueError(f'\"{self.__class", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "7ddce00f1381adb2", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1042, "url": "https://github.com/SWE-agent/SWE-agent/issues/1042", "title": "Retry run batch on existing traj cause keyerror", "created_at": "2025-03-18T04:44:43Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 6077, "A_failure_type": "A7_configuration", "A_confidence": 0.604, "A_evidence": ") with SWE-ReX version 1.2.1 (rex_hash='unavailable'). ๐Ÿ”ง INFO Loaded environment variables from /home/lucas/wsl2_workshop/SWE-agent/.env ๐Ÿƒ DEBUG Loading instan", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.86, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9ea0319af46f4701", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1044, "url": "https://github.com/SWE-agent/SWE-agent/issues/1044", "title": "Can you integrate local evaluation of SWE-Bench?", "created_at": "2025-03-19T20:40:20Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 4, "reactions": 0, "labels": "โœจ enhancement", "body_len": 1258, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B10_unknown", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "08db520fe4a5bc97", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1048, "url": "https://github.com/SWE-agent/SWE-agent/issues/1048", "title": "FileNotFoundError /root/state.json", "created_at": "2025-03-21T05:09:46Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 12, "reactions": 2, "labels": "๐Ÿ› bug", "body_len": 9142, "A_failure_type": "A7_configuration", "A_confidence": 0.694, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "306fb99ad19140a5", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1051, "url": "https://github.com/SWE-agent/SWE-agent/issues/1051", "title": "SWE-agent for coding challenge fails to write patch due to Syntax Error", "created_at": "2025-03-23T23:49:44Z", "year": 2025, "state": "open", "state_reason": "reopened", "comments": 5, "reactions": 0, "labels": "๐Ÿ› bug;๐Ÿ“– documentation", "body_len": 12000, "A_failure_type": "A1_functionality", "A_confidence": 0.676, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A6_data_structure:1hits;A:A7_configuration:1hits;HEUR:bare-traceback", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "de227ba5226a1270", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1066, "url": "https://github.com/SWE-agent/SWE-agent/issues/1066", "title": "Cannot run evaluation with config `250212_sweagent_heavy_sbl.yaml`", "created_at": "2025-04-08T15:15:13Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "โ”question", "body_len": 12000, "A_failure_type": "A6_data_structure", "A_confidence": 0.84, "A_evidence": "le `250212_sweagent_heavy_sbl.yaml`, the system raised error: ``` โ”‚ 4 validation errors for RunBatchConfig โ”‚ โ”‚ agent.DefaultAgentConfig.type โ”‚ โ”‚ Input shoul", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A6_data_structure:2hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "cb83d4651079b3a5", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1078, "url": "https://github.com/SWE-agent/SWE-agent/issues/1078", "title": "Open PR tool creates a token limit exceeded for PR body issue", "created_at": "2025-04-21T09:45:04Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 6620, "A_failure_type": "A8_performance", "A_confidence": 0.538, "A_evidence": "ecode=decode, return_json=return_json, return_headers=return_headers, timeout=timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^", "B_cause_class": "B6_context_management", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.818, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:2hits;A:A4_communication:1hits;A:A5_context_memory:2hits;A:A7_configuration:3hits;A:A8_performance:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c52a22c1337a209b", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1084, "url": "https://github.com/SWE-agent/SWE-agent/issues/1084", "title": "SWE-REX failure on Modal for SWE-Gym instances", "created_at": "2025-04-24T19:43:21Z", "year": 2025, "state": "open", "state_reason": null, "comments": 3, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 12000, "A_failure_type": "A8_performance", "A_confidence": 0.62, "A_evidence": "x/runtime/local.py\", line 171, in start self.shell.expect(self._ps1, timeout=self.request.startup_timeout) File \"/root/.local/pipx/.cache/eac1061", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:2hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "5913e1454f0ec9bf", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1089, "url": "https://github.com/SWE-agent/SWE-agent/issues/1089", "title": "KeyError: 'name' with ollama function calling with litellm", "created_at": "2025-04-30T15:54:59Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "๐Ÿ› bug;dependencies", "body_len": 11369, "A_failure_type": "A2_tool_integration", "A_confidence": 0.734, "A_evidence": "KeyError: 'name' with ollama function calling with litellm", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:4hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "36792deb525e7244", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1134, "url": "https://github.com/SWE-agent/SWE-agent/issues/1134", "title": "FileNotFoundError: model.patch", "created_at": "2025-05-16T12:25:17Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "โ”question", "body_len": 9064, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A5_context_memory:1hits;A:A6_data_structure:1hits;EXC:filenotfounderror->A7_configuration;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "2a3d4a13f95dd80f", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1135, "url": "https://github.com/SWE-agent/SWE-agent/issues/1135", "title": "Bug for local run AttributeError: 'AttrDict' object has no attribute 'base_commit", "created_at": "2025-05-16T18:33:36Z", "year": 2025, "state": "closed", "state_reason": "duplicate", "comments": 1, "reactions": 0, "labels": "", "body_len": 9174, "A_failure_type": "A3_compatibility", "A_confidence": 0.85, "A_evidence": "Bug for local run AttributeError: 'AttrDict' object has no attribute 'base_commit", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C2_construction", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A7_configuration:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "9d9e937e5f28b45d", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1158, "url": "https://github.com/SWE-agent/SWE-agent/issues/1158", "title": "Unable to create pr when base branch is not main", "created_at": "2025-05-24T18:28:13Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 0, "reactions": 0, "labels": "", "body_len": 4230, "A_failure_type": "A8_performance", "A_confidence": 0.694, "A_evidence": "ecode=decode, return_json=return_json, return_headers=return_headers, timeout=timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:1hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "713386040b6a53da", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1159, "url": "https://github.com/SWE-agent/SWE-agent/issues/1159", "title": "Exiting due to unknown error: 'NoneType' object is not iterable", "created_at": "2025-05-24T18:53:14Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 7, "reactions": 0, "labels": "๐Ÿ› bug", "body_len": 5079, "A_failure_type": "A2_tool_integration", "A_confidence": 0.686, "A_evidence": ", system_fingerprint='fp_ee1d74bde0', choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=None, role='assistant', tool_cal", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.65, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A3_compatibility:2hits;A:A5_context_memory:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d6b57b614aa38f92", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1162, "url": "https://github.com/SWE-agent/SWE-agent/issues/1162", "title": "swerex-remote not found when running on SWE-Bench", "created_at": "2025-05-26T07:08:49Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "", "body_len": 9089, "A_failure_type": "A7_configuration", "A_confidence": 0.65, "A_evidence": ") with SWE-ReX version 1.2.2 (rex_hash='unavailable'). ๐Ÿ”ง INFO Loaded environment variables from /home/user/SWE-agent/.env ๐Ÿƒ DEBUG Loading instances from SWEBe", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B7_tool_environment", "B_confidence": 0.768, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A7_configuration:4hits;A:A8_performance:2hits;EXC:connectionerror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f46cfe7f74b2119c", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1170, "url": "https://github.com/SWE-agent/SWE-agent/issues/1170", "title": "\"pip not found\" for tools/edit_anthropic when running SweBench MultiModal", "created_at": "2025-05-27T23:32:49Z", "year": 2025, "state": "open", "state_reason": "reopened", "comments": 6, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.693, "A_evidence": "images. The `tools/edit_anthropic/install.sh` file uses `pip`: ``` pip install 'tree-sitter==0.21.3' pip install 'tree-sitter-languages' ``` which", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:4hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1a8c84f7e9c4176d", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1179, "url": "https://github.com/SWE-agent/SWE-agent/issues/1179", "title": "swe-bench Docker image uses Python 3.5, incompatible with `tree-sitter==0.21.3` required by edit_anthropic", "created_at": "2025-05-31T05:03:54Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 1, "labels": "๐Ÿ› bug", "body_len": 9185, "A_failure_type": "A7_configuration", "A_confidence": 0.619, "A_evidence": "jango-7530/django__django-7530/ django__django-7530.traj ๐Ÿชด DEBUG No environment variables to set ๐Ÿฆ– DEBUG Uploading file from /root/workspace/swe-agent/SWE-ag", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.623, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:3hits;A:A7_configuration:4hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "37361fe558f945e5", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1186, "url": "https://github.com/SWE-agent/SWE-agent/issues/1186", "title": "pull access denied for swesmith.x86_64.getmoto__moto.694ce1f4, repository does not exist", "created_at": "2025-06-02T06:59:34Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 9, "reactions": 0, "labels": "โ”question", "body_len": 9637, "A_failure_type": "A6_data_structure", "A_confidence": 0.582, "A_evidence": "the bug I am unable to pull images: ๐Ÿƒ ERROR [swea-run] โŒ Failed on pydantic__pydantic.acb0f10f.pr_9353: Failed to pull image swesmith.x86_64.pyd", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C7_output_parsing", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "93e73db1c9b4f91e", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1197, "url": "https://github.com/SWE-agent/SWE-agent/issues/1197", "title": "FileNotFoundError: [WinError 2] (docker?)", "created_at": "2025-06-10T11:20:55Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "โ”question", "body_len": 3662, "A_failure_type": "A7_configuration", "A_confidence": 0.846, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "f46215736b3cbee5", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1202, "url": "https://github.com/SWE-agent/SWE-agent/issues/1202", "title": "๐Ÿƒ ERROR โŒ Failed on davidhalter__parso.338a5760.func_basic__ktqp4y43: Command '['docker', 'build', '-q', '--build-arg', 'BASE_IMAGE=swesmith.x86_64.davidhalter__parso.338a5760', '-']' returned non-zero exit status 1.", "created_at": "2025-06-12T07:15:16Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "โ”question", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.607, "A_evidence": "", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:2hits;A:A8_performance:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "344abac49f424e98", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1203, "url": "https://github.com/SWE-agent/SWE-agent/issues/1203", "title": "deepseek: Invalid action invocation", "created_at": "2025-06-12T16:35:09Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 2, "reactions": 0, "labels": "โ”question", "body_len": 12000, "A_failure_type": "A2_tool_integration", "A_confidence": 0.679, "A_evidence": "\"/test-repo/tests/missing_colon.py\"\\n }\\n}\\n```', role='assistant', tool_calls=None, function_call=None, reasoning_content='We are given an error", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D3_degraded", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:2hits;A:A2_tool_integration:3hits;A:A3_compatibility:1hits;A:A5_context_memory:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "60714f333ea46445", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1204, "url": "https://github.com/SWE-agent/SWE-agent/issues/1204", "title": "Git commands do not seem to work on modal", "created_at": "2025-06-12T21:53:10Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 5, "reactions": 0, "labels": "โ”question", "body_len": 9187, "A_failure_type": "A8_performance", "A_confidence": 0.637, "A_evidence": "git commands (eg `cd /testbed && git log --oneline -n 5`), it gets a timeout error (see logs), due to message `WARNING: terminal is not fully func", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.613, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A6_data_structure:1hits;A:A7_configuration:2hits;A:A8_performance:2hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "fcd66509fee2d38c", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1245, "url": "https://github.com/SWE-agent/SWE-agent/issues/1245", "title": "No such file or directory: 'sb-cli'", "created_at": "2025-07-15T04:56:20Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.704, "A_evidence": "======================= ๐Ÿค– DEBUG n_cache_control: 2 ๐Ÿ”ง DEBUG Choosing API key 0 for thread MainThread (idx 0) ๐Ÿค– DEBUG Error calculating cost: This", "B_cause_class": "B8_application_logic", "B_cause_secondary": "B3_configuration_error", "B_confidence": 0.647, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A5_context_memory:2hits;A:A7_configuration:2hits;A:A8_performance:1hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dc6d0c90dc62b40e", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1247, "url": "https://github.com/SWE-agent/SWE-agent/issues/1247", "title": "I can't run sweagent run-batch, but sweagent run works just fine", "created_at": "2025-07-17T13:15:01Z", "year": 2025, "state": "open", "state_reason": null, "comments": 4, "reactions": 0, "labels": "", "body_len": 8576, "A_failure_type": "A8_performance", "A_confidence": 0.537, "A_evidence": "s.py\", line 466, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.801, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A4_communication:1hits;A:A7_configuration:2hits;A:A8_performance:1hits;A:A9_safety:1hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "43cd5b8c8c03b124", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1250, "url": "https://github.com/SWE-agent/SWE-agent/issues/1250", "title": "SWE-Agent fails with Azure/o3 model", "created_at": "2025-07-23T06:19:13Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 4722, "A_failure_type": "A1_functionality", "A_confidence": 0.33, "A_evidence": "", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.716, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C4_inference", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:1hits;A:A7_configuration:1hits;HEUR:bare-traceback;R4:residual-functionality", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "1b4dcc0a52ed48ed", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1269, "url": "https://github.com/SWE-agent/SWE-agent/issues/1269", "title": "SWE-agent can hang in submit if very long diff is printed", "created_at": "2025-08-05T16:23:14Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 3, "reactions": 0, "labels": "", "body_len": 8942, "A_failure_type": "A2_tool_integration", "A_confidence": 0.753, "A_evidence": "ompletion', system_fingerprint=None, choices=[Choices(finish_reason='tool_calls', index=0, message=Message(content=\"Great! Let's summarize what we've", "B_cause_class": "B7_tool_environment", "B_cause_secondary": "B10_unknown", "B_confidence": 0.3, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C5_tool_execution", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A2_tool_integration:3hits;A:A5_context_memory:1hits;A:A6_data_structure:1hits;A:A8_performance:1hits;EXC:timeouterror->A8_performance", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "d60eef7b6990b676", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1288, "url": "https://github.com/SWE-agent/SWE-agent/issues/1288", "title": "Claude-4-sonnet Fail to Generate ONE discussion and ONE command", "created_at": "2025-08-28T02:15:18Z", "year": 2025, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A1_functionality", "A_confidence": 0.875, "A_evidence": "with \"a serious of\" discussion and commands. Claude-4-sonnet may even hallucinate the output of the commands it proposed. As a result, the task finish", "B_cause_class": "B5_model_limitation", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "supported", "C_lifecycle_stage": "C4_inference", "D_severity": "D2_incorrect_output", "E_detection_point": "E2_external_test", "matched_rules": "A:A1_functionality:3hits;A:A7_configuration:1hits", "filter_reason": "failure_lexicon", "taxonomy_version": "1.0"} {"record_id": "10abba3ec8f0487f", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1289, "url": "https://github.com/SWE-agent/SWE-agent/issues/1289", "title": "Inscrutable error when docker is not installed", "created_at": "2025-08-28T13:59:08Z", "year": 2025, "state": "closed", "state_reason": "not_planned", "comments": 1, "reactions": 0, "labels": "", "body_len": 4421, "A_failure_type": "A7_configuration", "A_confidence": 0.795, "A_evidence": "NFO Setting problem statement based on github issue url ๐Ÿ”ง INFO Loaded environment variables from /mnt/Proj/swe-agent/.env ๐Ÿค– WARN Model qwen/qwen3-coder does not", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A2_tool_integration:1hits;A:A3_compatibility:1hits;A:A7_configuration:3hits;EXC:filenotfounderror->A7_configuration", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "b20b1462a1024827", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1290, "url": "https://github.com/SWE-agent/SWE-agent/issues/1290", "title": "Swebench eval cannot be pulled with podman", "created_at": "2025-08-29T13:55:54Z", "year": 2025, "state": "closed", "state_reason": "completed", "comments": 1, "reactions": 0, "labels": "", "body_len": 12000, "A_failure_type": "A7_configuration", "A_confidence": 0.732, "A_evidence": "') with SWE-ReX version 1.4.1 (rex_hash='unavailable'). ๐Ÿ”ง INFO Loaded environment variables from /mnt/Proj/swe-agent/.env ๐Ÿƒ DEBUG Loading instances from SWEBenc", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "04e962cd6d0bf024", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1302, "url": "https://github.com/SWE-agent/SWE-agent/issues/1302", "title": "Local model (Ollama CodeLlama 13B) + `thought_action` keeps emitting multi-line Python; SWE-agent treats it as bash and loops with `BashIncorrectSyntaxError`", "created_at": "2025-09-18T05:13:36Z", "year": 2025, "state": "open", "state_reason": "reopened", "comments": 5, "reactions": 0, "labels": "", "body_len": 5870, "A_failure_type": "A7_configuration", "A_confidence": 0.78, "A_evidence": "UB_TOKEN` (verified via `rate_limit` API; SWE-agent log shows โ€œLoaded environment variables from .envโ€) --- ### Config `config/ollama_codellama.yaml` (minima", "B_cause_class": "B3_configuration_error", "B_cause_secondary": "B4_specification_ambiguity", "B_confidence": 0.723, "B_evidence_grade": "supported", "C_lifecycle_stage": "C1_setup", "D_severity": "D4_minor", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:2hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "0a088b6792785788", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1319, "url": "https://github.com/SWE-agent/SWE-agent/issues/1319", "title": "ERROR IN V-0.7 for ENIGMA", "created_at": "2025-12-08T08:33:10Z", "year": 2025, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 2276, "A_failure_type": "A3_compatibility", "A_confidence": 0.656, "A_evidence": ".py\", line 105, in __getattr__ raise AttributeError(f\"module 'modal' has no attribute '{name}'\") AttributeError: module 'modal' has no attribute 'Mount'. D", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A3_compatibility:4hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "c70d5b26f6907889", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1516, "url": "https://github.com/SWE-agent/SWE-agent/issues/1516", "title": "sweagent --help crashes with UnicodeEncodeError on default Windows consoles (cp1252 stdio)", "created_at": "2026-08-18T10:39:29Z", "year": 2026, "state": "open", "state_reason": null, "comments": 0, "reactions": 0, "labels": "", "body_len": 5392, "A_failure_type": "A7_configuration", "A_confidence": 0.641, "A_evidence": "t clone https://github.com/SWE-agent/SWE-agent cd SWE-agent python -m pip install --upgrade pip && pip install --editable . sweagent --help ``` Determ", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B10_unknown", "B_confidence": 0.95, "B_evidence_grade": "hypothesised", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:2hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "ef3b52f481077e55", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1567, "url": "https://github.com/SWE-agent/SWE-agent/issues/1567", "title": "SetStatusAgentHook never resets _cost on retry attempts, double-counting the previous attempt's spend in the batch status line", "created_at": "2026-09-25T18:57:27Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 5612, "A_failure_type": "A7_configuration", "A_confidence": 0.778, "A_evidence": "mmands/code to Reproduce Setup from source (no docker needed; plain `pip install -e .` in a venv), at commit `3ea751c087f32b16e039a2233dd6eefecef325d5", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E5_configuration_validation", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:1hits;A:A7_configuration:3hits", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"} {"record_id": "dc2a2c24b03044a1", "framework": "SWE-agent", "repo": "SWE-agent/SWE-agent", "issue_number": 1602, "url": "https://github.com/SWE-agent/SWE-agent/issues/1602", "title": "run orchestration CLI: `sweagent run-api` dispatch imports nonexistent `sweagent.api.server` โ†’ hard ModuleNotFoundError", "created_at": "2026-10-11T03:57:49Z", "year": 2026, "state": "open", "state_reason": null, "comments": 1, "reactions": 0, "labels": "", "body_len": 3668, "A_failure_type": "A3_compatibility", "A_confidence": 0.731, "A_evidence": "nt run-api` dispatch imports nonexistent `sweagent.api.server` โ†’ hard ModuleNotFoundError", "B_cause_class": "B4_specification_ambiguity", "B_cause_secondary": "B9_expectation_mismatch", "B_confidence": 0.706, "B_evidence_grade": "demonstrated", "C_lifecycle_stage": "C1_setup", "D_severity": "D1_blocking", "E_detection_point": "E1_framework_runtime", "matched_rules": "A:A1_functionality:1hits;A:A3_compatibility:4hits;A:A7_configuration:3hits;EXC:no module named->A3_compatibility;EXC:modulenotfounderror->A3_compatibility;DISAMB:install-context->A7", "filter_reason": "exception_or_traceback", "taxonomy_version": "1.0"}