{"record":{"id":"d43ab17309e641bf","repo":"microsoft/semantic-kernel","slug":"failed-to-create-openai-settings","errorCode":null,"errorMessage":"Failed to create OpenAI settings.","messagePattern":"Failed to create OpenAI settings\\.","errorType":"exception","errorClass":"AgentInitializationException","httpStatus":null,"severity":"error","filePath":"python/semantic_kernel/agents/open_ai/openai_assistant_agent.py","lineNumber":351,"sourceCode":"            org_id: The organization ID\n            env_file_path: The environment file path\n            env_file_encoding: The environment file encoding, defaults to utf-8\n            default_headers: The default headers to add to the client\n            kwargs: Additional keyword arguments\n\n        Returns:\n            An OpenAI client instance and the configured model name\n        \"\"\"\n        try:\n            openai_settings = OpenAISettings(\n                chat_model_id=ai_model_id,\n                api_key=api_key,\n                org_id=org_id,\n                env_file_path=env_file_path,\n                env_file_encoding=env_file_encoding,\n            )\n        except ValidationError as ex:\n            raise AgentInitializationException(\"Failed to create OpenAI settings.\", ex) from ex\n\n        if not openai_settings.api_key:\n            raise AgentInitializationException(\"The OpenAI API key is required.\")\n\n        if not openai_settings.chat_model_id:\n            raise AgentInitializationException(\"The OpenAI model ID is required.\")\n\n        merged_headers = dict(copy(default_headers)) if default_headers else {}\n        if default_headers:\n            merged_headers.update(default_headers)\n        if APP_INFO:\n            merged_headers.update(APP_INFO)\n            merged_headers = prepend_semantic_kernel_to_user_agent(merged_headers)\n\n        client = AsyncOpenAI(\n            api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,\n            organization=openai_settings.org_id,\n            default_headers=merged_headers,","sourceCodeStart":333,"sourceCodeEnd":369,"githubUrl":"https://github.com/microsoft/semantic-kernel/blob/c028a0c7dc4f0814cdcbaba9d998f187a41197bf/python/semantic_kernel/agents/open_ai/openai_assistant_agent.py#L333-L369","documentation":"Raised by OpenAIAssistantAgent.create_client_and_model() when constructing OpenAISettings() from the supplied args/env raises a pydantic ValidationError. OpenAISettings parses environment variables and the explicit overrides; a ValidationError means a field failed pydantic validation (bad type, bad format, required field malformed). The library wraps it in AgentInitializationException so callers catch one agent-level exception type.","triggerScenarios":"Calling OpenAIAssistantAgent.create_client_and_model(env_file_path='...') where the .env file has a malformed value, or passing an api_key/org_id of the wrong type, or a required OpenAISettings field that fails its validator. Triggered in both explicit-arg and env-only flows.","commonSituations":"Missing or malformed .env entries; passing ai_model_id as non-string; env_file_encoding set to an unsupported codec; typo'd env var names that leave a field un-parseable; migrating config where a field type changed between SK versions.","solutions":["Inspect the wrapped ValidationError in __cause__ (ex) for the exact failing field and fix that field's value/type.","Validate your .env / OpenAISettings by instantiating OpenAISettings() standalone before calling create_client_and_model.","Pass api_key and ai_model_id explicitly to bypass env parsing and isolate the failure."],"exampleFix":"# before\nclient, model = await OpenAIAssistantAgent.create_client_and_model(env_file_path='.env')\n\n# after\nfrom semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings\nsettings = OpenAISettings(env_file_path='.env')  # surfaces the real ValidationError\nclient, model = await OpenAIAssistantAgent.create_client_and_model(api_key=settings.api_key.get_secret_value(), ai_model_id=settings.chat_model_id)","handlingStrategy":"try-catch","validationCode":"from semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings\ntry:\n    OpenAISettings(env_file_path=env_file_path)\nexcept Exception as e:\n    print('settings invalid:', e)","typeGuard":"null","tryCatchPattern":"from semantic_kernel.exceptions.agent_exceptions import AgentInitializationException\ntry:\n    client, model = await OpenAIAssistantAgent.create_client_and_model(env_file_path='.env')\nexcept AgentInitializationException as e:\n    cause = e.__cause__  # the ValidationError with field details\n    log.error('settings error: %s', cause)","preventionTips":["Validate OpenAISettings standalone before client creation.","Inspect __cause__ for the real pydantic field error.","Keep env_file_path/encoding correct."],"tags":["configuration","agents","openai-assistant","pydantic","env"],"backgroundTag":null,"analyzedSha":"c028a0c7dc4f0814cdcbaba9d998f187a41197bf","analyzedAt":"2026-08-13T13:48:05.040Z","schemaVersion":2},"datasetVersion":"2026-08-13T14:17:21.547Z"}