{"record":{"id":"4438700e182dd298","repo":"microsoft/semantic-kernel","slug":"failed-to-create-openai-settings-443870","errorCode":null,"errorMessage":"Failed to create OpenAI settings.","messagePattern":"Failed to create OpenAI settings\\.","errorType":"exception","errorClass":"ServiceInitializationError","httpStatus":null,"severity":"error","filePath":"python/semantic_kernel/connectors/ai/open_ai/services/open_ai_text_embedding.py","lineNumber":63,"sourceCode":"            org_id (str | None): The optional org ID to use. If provided will override,\n                the env vars or .env file value.\n            default_headers (Mapping[str,str] | None): The default headers mapping of string keys to\n                string values for HTTP requests. (Optional)\n            async_client (Optional[AsyncOpenAI]): An existing client to use. (Optional)\n            env_file_path (str | None): Use the environment settings file as\n                a fallback to environment variables. (Optional)\n            env_file_encoding (str | None): The encoding of the environment settings file. (Optional)\n        \"\"\"\n        try:\n            openai_settings = OpenAISettings(\n                api_key=api_key,\n                org_id=org_id,\n                embedding_model_id=ai_model_id,\n                env_file_path=env_file_path,\n                env_file_encoding=env_file_encoding,\n            )\n        except ValidationError as ex:\n            raise ServiceInitializationError(\"Failed to create OpenAI settings.\", ex) from ex\n        if not openai_settings.embedding_model_id:\n            raise ServiceInitializationError(\"The OpenAI embedding model ID is required.\")\n        super().__init__(\n            ai_model_id=openai_settings.embedding_model_id,\n            api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,\n            ai_model_type=OpenAIModelTypes.EMBEDDING,\n            org_id=openai_settings.org_id,\n            service_id=service_id,\n            default_headers=default_headers,\n            client=async_client,\n        )\n\n    @classmethod\n    def from_dict(cls: type[T_], settings: dict[str, Any]) -> T_:\n        \"\"\"Initialize an Open AI service from a dictionary of settings.\n\n        Args:\n            settings: A dictionary of settings for the service.","sourceCodeStart":45,"sourceCodeEnd":81,"githubUrl":"https://github.com/microsoft/semantic-kernel/blob/c028a0c7dc4f0814cdcbaba9d998f187a41197bf/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_text_embedding.py#L45-L81","documentation":"Raised in OpenAITextEmbedding.__init__ when the underlying OpenAISettings pydantic model fails validation. The original pydantic ValidationError is chained as __cause__, so the concrete field-level reasons (type coercion, malformed .env values, etc.) live on the cause, not in this message. All OpenAISettings fields are Optional, so this wrapper triggers only on an actual validation failure, not on a missing model id.","triggerScenarios":"Constructing OpenAITextEmbedding with an argument pydantic cannot coerce (e.g. api_key of an unexpected type), or with an env_file_path that points to a .env file whose values fail field validation, or when KernelBaseSettings rejects a value during env-var binding.","commonSituations":"A .env file has a syntax error or a quoted/whitespace value that breaks SecretStr parsing; the API key is loaded from a secret manager in a non-string form; a pydantic version upgrade tightened coercion; env_file_encoding does not match the file's actual encoding.","solutions":["Inspect the chained cause: except ServiceInitializationError as e: print(e.__cause__.errors()) to see the failing field","Validate the .env file syntax and the OPENAI_* values it defines","Ensure api_key is passed as a str and env_file_encoding matches the file (default utf-8)","Construct OpenAISettings() directly in a REPL to reproduce and read the raw ValidationError before wiring it into the service"],"exampleFix":"# before\nservice = OpenAITextEmbedding(api_key=12345)\n# raises ServiceInitializationError: Failed to create OpenAI settings.\n\n# after\nservice = OpenAITextEmbedding(api_key=\"sk-...\", ai_model_id=\"text-embedding-3-small\")","handlingStrategy":"try-catch","validationCode":"from semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings\n\ntry:\n    OpenAISettings(api_key=api_key, embedding_model_id=ai_model_id)\nexcept Exception as e:\n    raise ValueError(f\"OpenAISettings invalid: {e}\") from e","typeGuard":"from pydantic import ValidationError\nfrom semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings\n\n\ndef settings_are_valid(**kwargs) -> bool:\n    try:\n        OpenAISettings(**kwargs)\n        return True\n    except ValidationError:\n        return False","tryCatchPattern":"from semantic_kernel.exceptions.service_exceptions import ServiceInitializationError\n\ntry:\n    service = OpenAITextEmbedding(api_key=api_key)\nexcept ServiceInitializationError as e:\n    cause = e.__cause__\n    fields = cause.errors() if cause is not None else []\n    raise RuntimeError(f\"OpenAI settings invalid: {fields}\") from e","preventionTips":["Always inspect e.__cause__.errors() for the failing field","Keep api_key as a str and .env files utf-8 encoded","Build OpenAISettings() in isolation first when debugging"],"tags":["openai","configuration","pydantic","validation","python"],"backgroundTag":null,"analyzedSha":"c028a0c7dc4f0814cdcbaba9d998f187a41197bf","analyzedAt":"2026-08-13T13:48:05.040Z","schemaVersion":2},"datasetVersion":"2026-08-13T14:17:21.547Z"}