Agent Invoke method

[Harish-ilink]

Checked other resources

• I added a very descriptive title to this question.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.

Commit to Help

• I commit to help with one of those options 👆

Example Code

@router.post("/invoke")
async def stream_run(
    payload: CreateRunPayload,  # for openapi docs
    request: Request,
    userid: OpengptsUserId,
    tenantid: str = Header(None),
):
    """Create a invoke."""
    input_request = payload.dict(exclude_unset=True)
    input_, config = await _run_input_and_config(request, userid)
    config = update_bitc_config(userid,tenantid,config)
    return agent.invoke(input=input_request,config=config)

Description

Im trying to call invoke method insteam of streaming my bots response.But I was getting error .I have tried aiinvoke() method also.But Im ending up in same error.

File "/usr/local/lib/python3.11/site-packages/langgraph/channels/binop.py", line 58, in update
2024-07-16 10:55:18 self.value = self.operator(self.value, value)
2024-07-16 10:55:18 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2024-07-16 10:55:18 File "/usr/local/lib/python3.11/site-packages/langgraph/graph/message.py", line 22, in add_messages
2024-07-16 10:55:18 if m.id is None:
2024-07-16 10:55:18 ^^^^
2024-07-16 10:55:18 AttributeError: 'dict' object has no attribute 'id'

System Info

System Information

OS: Windows
OS Version: 10.0.19045
Python Version: 3.11.4 (tags/v3.11.4:d2340ef, Jun 7 2023, 05:45:37) [MSC v.1934 64 bit (AMD64)]

Package Information

langchain_core: 0.2.12
langchain: 0.2.7
langsmith: 0.1.84
langchain_anthropic: 0.1.19
langchain_openai: 0.1.14
langchain_text_splitters: 0.2.2
langgraph: 0.1.6

Packages not installed (Not Necessarily a Problem)

The following packages were not found:

langserve

[dosubot[bot]]

Hello @Harish-ilink! I'm here to help you with any bugs, questions, or contributions you may have. Let's work together to solve this issue!

To resolve the 'AttributeError: 'dict' object has no attribute 'id'' error when calling the invoke method, ensure that the input to the invoke method is of the correct type. The invoke method expects input of type str, List[dict], tuple, BaseMessage, or PromptValue. If you are passing a dict, it should be structured correctly to match the expected input types.

Here's an example of how to structure the input correctly:

from langchain_core.messages import HumanMessage

# Example of a correct input structure for the invoke method
input_data = [
    HumanMessage(content="Hello, how are you?")
]

# Assuming `agent` is an instance of the agent class
response = agent.invoke(input=input_data, config=config)

Ensure that each dictionary in the list has the correct keys and values that the invoke method can process. If you are using a custom dictionary, make sure it aligns with the expected structure of BaseMessage or other accepted types. For instance, using HumanMessage from the langchain_core.messages module ensures the correct structure.

Additionally, if you are mocking responses for testing purposes, ensure that the mock objects are correctly structured. For example, in the provided test case for the OCI Generative AI LLM service, the mock response is structured using a MockResponseDict class that mimics the expected attributes:

class MockResponseDict(dict):
    def __getattr__(self, val):
        return self[val]

# Example of a mocked response
response = MockResponseDict(
    {
        "status": 200,
        "data": MockResponseDict(
            {
                "chat_response": MockResponseDict(
                    {
                        "text": "Assistant chat reply.",
                        "finish_reason": "completed",
                    }
                ),
                "model_id": "cohere.command-r-16k",
                "model_version": "1.0.0",
            }
        ),
        "request_id": "1234567890",
        "headers": MockResponseDict(
            {
                "content-length": "123",
            }
        ),
    }
)

By ensuring that both your input data and any mock responses are correctly structured, you can avoid the 'AttributeError: 'dict' object has no attribute 'id'' error ^[1][2][3].

To continue talking to Dosu, mention @dosu.

[Harish-ilink]

No this isnt working