{"record":{"id":"aa28b2f15e0bf9dd","repo":"microsoft/semantic-kernel","slug":"missing-required-client-in-openairesponsesagent","errorCode":null,"errorMessage":"Missing required 'client' in OpenAIResponsesAgent._from_dict()","messagePattern":"Missing required 'client' in OpenAIResponsesAgent\\._from_dict\\(\\)","errorType":"exception","errorClass":"AgentInitializationException","httpStatus":null,"severity":"error","filePath":"python/semantic_kernel/agents/open_ai/openai_responses_agent.py","lineNumber":542,"sourceCode":"        *,\n        kernel: Kernel,\n        prompt_template_config: \"PromptTemplateConfig | None\" = None,\n        **kwargs,\n    ) -> _T:\n        \"\"\"Create an Assistant Agent from the provided dictionary.\n\n        Args:\n            data: The dictionary containing the agent data.\n            kernel: The kernel to use for the agent.\n            prompt_template_config: The prompt template configuration.\n            kwargs: Additional keyword arguments. Note: unsupported keys may raise validation errors.\n\n        Returns:\n            AzureAIAgent: The OpenAI Assistant Agent instance.\n        \"\"\"\n        client: AsyncOpenAI = kwargs.pop(\"client\", None)\n        if client is None:\n            raise AgentInitializationException(\"Missing required 'client' in OpenAIResponsesAgent._from_dict()\")\n\n        spec = AgentSpec.model_validate(data)\n\n        if \"settings\" in kwargs:\n            kwargs.pop(\"settings\")\n\n        args = data.pop(\"arguments\", None)\n        arguments = None\n        if args:\n            arguments = KernelArguments(**args)\n\n        # Handle arguments from kwargs, merging with any arguments from data\n        if \"arguments\" in kwargs and kwargs[\"arguments\"] is not None:\n            incoming_args = kwargs[\"arguments\"]\n            arguments = arguments | incoming_args if arguments is not None else incoming_args\n\n        if not (spec.model and spec.model.id):\n            raise AgentInitializationException(\"model.id required when creating a new OpenAI Responses Agent.\")","sourceCodeStart":524,"sourceCodeEnd":560,"githubUrl":"https://github.com/microsoft/semantic-kernel/blob/c028a0c7dc4f0814cdcbaba9d998f187a41197bf/python/semantic_kernel/agents/open_ai/openai_responses_agent.py#L524-L560","documentation":"Raised by OpenAIResponsesAgent._from_dict() when the kwargs passed in do not contain a 'client' key (or it is None). The declarative-spec deserialization path requires a pre-built AsyncOpenAI client because the spec YAML describes the agent, not its credentials; the client must be supplied externally.","triggerScenarios":"Calling OpenAIResponsesAgent.from_dict(data, kernel=..., client=...) without providing client, or passing client=None. The method does not construct a client from settings — it expects one already instantiated.","commonSituations":"Loading an agent from a declarative YAML/JSON file and forgetting to thread the client through, or assuming from_dict() will read env vars like the constructor does. Common when wiring agents dynamically from config.","solutions":["Build the client first (create_client()) and pass it: agent = OpenAIResponsesAgent.from_dict(data, kernel=kernel, client=client).","Ensure the kwargs key is exactly 'client' (not 'openai_client' or 'async_client').","If loading many agents from spec, create the client once and reuse it across from_dict calls."],"exampleFix":"// before\nagent = OpenAIResponsesAgent.from_dict(spec, kernel=kernel)\n\n// after\nclient = OpenAIResponsesAgent.create_client()\nagent = OpenAIResponsesAgent.from_dict(spec, kernel=kernel, client=client)","handlingStrategy":"validation","validationCode":"client = kwargs.get('client')\nif client is None:\n    client = OpenAIResponsesAgent.create_client()\nagent = OpenAIResponsesAgent.from_dict(data, kernel=kernel, client=client)","typeGuard":"from openai import AsyncOpenAI\ndef has_valid_client(kwargs) -> bool:\n    return isinstance(kwargs.get('client'), AsyncOpenAI)","tryCatchPattern":"from semantic_kernel.exceptions.agent_exceptions import AgentInitializationException\ntry:\n    agent = OpenAIResponsesAgent.from_dict(data, kernel=kernel, client=client)\nexcept AgentInitializationException as e:\n    if 'client' in str(e):\n        client = OpenAIResponsesAgent.create_client()\n        agent = OpenAIResponsesAgent.from_dict(data, kernel=kernel, client=client)\n    raise","preventionTips":["Always pass a pre-built AsyncOpenAI client to from_dict().","Build the client once and reuse it across multiple from_dict() calls.","Use the exact kwarg name 'client'."],"tags":["declarative-spec","client","initialization"],"backgroundTag":null,"analyzedSha":"c028a0c7dc4f0814cdcbaba9d998f187a41197bf","analyzedAt":"2026-08-13T13:48:05.040Z","schemaVersion":2},"datasetVersion":"2026-08-13T14:17:21.547Z"}