LangGraph adapter fails to load OciGenAiConfig LlmNode with structured output

[JainSajal23]

The LangGraph Agent Spec adapter fails while loading a valid Flow containing an LlmNode configured with OciGenAiConfig and a strict nested output schema.

Agent Spec serialization succeeds, but runtime loading fails before any OCI request is sent.

Reproduction

The LlmNode declares a structured output such as:

{
  "title": "result",
  "type": "object",
  "required": ["name", "profile"],
  "properties": {
    "name": {"type": "string"},
    "profile": {
      "type": "object",
      "required": ["score", "active", "tags"]
    }
  }
}

The LangGraph runtime is loaded with:

RUNTIME_CLASS_IMPORT_PATH=langgraphruntime.LanggraphAgentSpecLoader

Actual behavior

Loading the component fails with:

ValueError: Unsupported tool type <class 'dict'>.
Tool must be passed in as a BaseTool instance, TypedDict class, or BaseModel type.

The failure occurs in:

pyagentspec/adapters/langgraph/_node_execution.py
self.llm.with_structured_output(json_schema)

Then:

ChatOCIGenAI.bind_tools([json_schema])

The adapter passes the JSON schema as a raw Python dictionary, but the installed langchain_oci provider rejects dictionary tool definitions.

Expected behavior

The LangGraph adapter should either:

1. Convert the Agent Spec JSON schema into a supported structured-output representation before calling ChatOCIGenAI; or
2. Raise a clear unsupported-feature error during configuration validation.

The component should not fail with a low-level Unsupported tool type <class 'dict'> error.

Impact

• Agent Spec serialization succeeds.
• LangGraph component loading fails.
• The OCI endpoint is never called.
• Structured LlmNode tests cannot execute with OciGenAiConfig.
• The same Agent Spec may behave differently across LangGraph and WayFlow runtimes.