additionalProperties not being set to false.

[spatnala-eightfold]

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Example Code

class UpdateRequisitionTool(BaseTool):
    """
    Update requisition template with field values.
    """

    name: str = arc.TOOLS.UPDATE_REQUISITION
    description: str = """
        Update requisition template with field values.
    """

    class InputSchema(BaseModel):
        requisition_id: int = Field(description="The ID of the requisition/position to update.")
        field_values: Optional[dict[str, Any]] = Field(description="Field values to update in the requisition.")

    args_schema: Type[BaseModel] = InputSchema

    def _run(self, requisition_id: int, field_values: Optional[dict[str, Any]] = None) -> None:
......

We bind the tools like this

        llm = ChatOpenAI(model_name=arc.GPT_MODEL, temperature=0).bind_tools(
            self.tools, strict=True, response_format=self.response_format
        )

Description

I defined my tools in this way and I am using ChatOpenAI and binding these tools to it. Upon invoking the llm I get this error

openai.BadRequestError: Error code: 400 - {'error': {'message': "Invalid schema for function 'update_requisition': In context=('properties', 'field_values', 'anyOf', '0'), 'additionalProperties' is required to be supplied and to be false.", 'type': 'invalid_request_error', 'param': 'tools[6].function.parameters', 'code': 'invalid_function_parameters'}}

I tried printing the json schema of the InputSchema pydantic model and this is what I got

{
  "properties": {
    "requisition_id": {
      "description": "The ID of the requisition/position to update.",
      "title": "Requisition Id",
      "type": "integer"
    },
    "field_values": {
      "anyOf": [
        {
          "type": "object"
        },
        {
          "type": "null"
        }
      ],
      "description": "Field values to update in the requisition.",
      "title": "Field Values"
    }
  },
  "required": [
    "requisition_id",
    "field_values"
  ],
  "title": "InputSchema",
  "type": "object"
}

The problem is this issue is flaky. Sometimes it runs without any exception and sometimes it throws this error. What is the solution to this issue ?

System Info

I am on version langgraph 0.2.70 and langchain 0.3.18

[shreyash-99]

Did you find any solution for the issue, I am also facing it.

[kongjiellx]

+1