{"record":{"id":"e20cb12a4c79f381","repo":"openai/openai-python","slug":"context-is-only-supported-in-pydantic-v2","errorCode":null,"errorMessage":"context is only supported in Pydantic v2","messagePattern":"context is only supported in Pydantic v2","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"src/openai/_models.py","lineNumber":355,"sourceCode":"                    `round_trip` parameter instead.\n                round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].\n                warnings: How to handle serialization errors. False/\"none\" ignores them, True/\"warn\" logs errors,\n                    \"error\" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].\n                fallback: A function to call when an unknown value is encountered. If not provided,\n                    a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.\n                serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.\n\n            Returns:\n                A dictionary representation of the model.\n            \"\"\"\n            if mode not in {\"json\", \"python\"}:\n                raise ValueError(\"mode must be either 'json' or 'python'\")\n            if round_trip != False:\n                raise ValueError(\"round_trip is only supported in Pydantic v2\")\n            if warnings != True:\n                raise ValueError(\"warnings is only supported in Pydantic v2\")\n            if context is not None:\n                raise ValueError(\"context is only supported in Pydantic v2\")\n            if serialize_as_any != False:\n                raise ValueError(\"serialize_as_any is only supported in Pydantic v2\")\n            if fallback is not None:\n                raise ValueError(\"fallback is only supported in Pydantic v2\")\n            if exclude_computed_fields != False:\n                raise ValueError(\"exclude_computed_fields is only supported in Pydantic v2\")\n            dumped = super().dict(  # pyright: ignore[reportDeprecated]\n                include=include,\n                exclude=exclude,\n                by_alias=by_alias if by_alias is not None else False,\n                exclude_unset=exclude_unset,\n                exclude_defaults=exclude_defaults,\n                exclude_none=exclude_none,\n            )\n\n            return cast(\"dict[str, Any]\", json_safe(dumped)) if mode == \"json\" else dumped\n\n        @override","sourceCodeStart":337,"sourceCodeEnd":373,"githubUrl":"https://github.com/openai/openai-python/blob/9917c6e28e66e90e1227b3d223c06a8c5441515a/src/openai/_models.py#L337-L373","documentation":"The context serialization keyword (a Pydantic v2 feature for passing contextual data to custom serializers) has no equivalent in the Pydantic v1 compat shim; passing context=<anything but None> to model_dump raises ValueError.","triggerScenarios":"Calling model.model_dump(context={'tenant': 'x'}) on SDK models when the Pydantic v1 implementation is active.","commonSituations":"Porting Pydantic v2 code that threads request context into serializers into an environment pinned to pydantic v1.","solutions":["Remove the context argument and pass the data explicitly to your serialization helpers","Upgrade to pydantic>=2 to use context-aware serializers"],"exampleFix":"# before\nd = obj.model_dump(context=ctx)\n# after\nd = obj.model_dump()\n","handlingStrategy":"validation","validationCode":"import pydantic\nif pydantic.VERSION.startswith('1.'):\n    kwargs.pop('context', None)\nobj.model_dump(**kwargs)","typeGuard":null,"tryCatchPattern":null,"preventionTips":["Pass contextual data explicitly to your own serialization helpers under v1"],"tags":["pydantic","serialization","v1-compat","models"],"backgroundTag":"pydantic-version-mismatch","analyzedSha":"9917c6e28e66e90e1227b3d223c06a8c5441515a","analyzedAt":"2026-08-28T11:46:34.183Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}