Error: ChatOpenAI model none is not an allowed value
abrebion opened this issue · 6 comments
abrebion commented
Describe the bug
Hi,
I'm testing the multi-agents example from https://docs.gptr.dev/docs/gpt-researcher/langgraph, but I got this error message in LangGraph Studio, after the initial research step. Looks like the Editor/Planner agent fails with:
ValidationError: 1 validation error for ChatOpenAI model none is not an allowed value (type=type_error.none.not_allowed)
Desktop (please complete the following information):
- OS: MacOs Sonoma 14.6.1
- Browser Chrome
- Version 127.0.6533.120
danieldekay commented
Can you be more specific in where this error comes from? Do you have a log file or trace to share?
abrebion commented
Yes, here a screenshot and the log of the error
langgraph-api-1 | EDITOR: Planning an outline layout based on initial research...
langgraph-api-1 | 2024-08-26T11:41:01.652595Z [info ] GET /assistants/fe096781-5601-53d2-b2f6-0d3403f7e9ca/schemas 200 2ms [langgraph_api.server] api_revision=20fd12a api_variant=licensed filename=runners.py func_name=run latency_ms=2 lineno=118 method=GET path=/assistants/fe096781-5601-53d2-b2f6-0d3403f7e9ca/schemas path_params={'assistant_id': 'fe096781-5601-53d2-b2f6-0d3403f7e9ca'} route=/assistants/{assistant_id}/schemas status=200
langgraph-api-1 | 2024-08-26T11:41:01.690703Z [info ] Run Error [langgraph_api.shared.stream] api_revision=20fd12a api_variant=licensed filename=stream.py func_name=to_sse lineno=270
langgraph-api-1 | Traceback (most recent call last):
langgraph-api-1 | File "/api/langgraph_api/shared/stream.py", line 260, in to_sse
langgraph-api-1 | File "/api/langgraph_api/shared/stream.py", line 254, in astream_state
langgraph-api-1 | File "/api/langgraph_api/shared/stream.py", line 128, in astream_state
langgraph-api-1 | File "/api/langgraph_api/shared/asyncio.py", line 38, in wait_if_not_done
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1247, in astream_events
langgraph-api-1 | async for event in event_stream:
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/tracers/event_stream.py", line 1005, in _astream_events_implementation_v2
langgraph-api-1 | await task
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/tracers/event_stream.py", line 965, in consume_astream
langgraph-api-1 | async for _ in event_streamer.tap_output_aiter(run_id, stream):
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/tracers/event_stream.py", line 204, in tap_output_aiter
langgraph-api-1 | async for chunk in output:
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langgraph/pregel/__init__.py", line 1270, in astream
langgraph-api-1 | _panic_or_proceed(all_futures, loop.step, asyncio.TimeoutError)
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langgraph/pregel/__init__.py", line 1450, in _panic_or_proceed
langgraph-api-1 | raise exc
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langgraph/pregel/retry.py", line 76, in arun_with_retry
langgraph-api-1 | async for _ in task.proc.astream(task.input, task.config):
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3286, in astream
langgraph-api-1 | async for chunk in self.atransform(input_aiter(), config, **kwargs):
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3269, in atransform
langgraph-api-1 | async for chunk in self._atransform_stream_with_config(
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2161, in _atransform_stream_with_config
langgraph-api-1 | chunk: Output = await asyncio.create_task( # type: ignore[call-arg]
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/tracers/event_stream.py", line 181, in tap_output_aiter
langgraph-api-1 | first = await py_anext(output, default=sentinel)
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 78, in anext_impl
langgraph-api-1 | return await __anext__(iterator)
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3239, in _atransform
langgraph-api-1 | async for output in final_pipeline:
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1314, in atransform
langgraph-api-1 | async for ichunk in input:
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1332, in atransform
langgraph-api-1 | async for output in self.astream(final, config, **kwargs):
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 875, in astream
langgraph-api-1 | yield await self.ainvoke(input, config, **kwargs)
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langgraph/utils.py", line 124, in ainvoke
langgraph-api-1 | ret = await asyncio.create_task(
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/multi_agents/agents/editor.py", line 58, in plan_research
langgraph-api-1 | response = await call_model(prompt=prompt, model=task.get("model"), response_format="json", api_key=self.headers.get("openai_api_key"))
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/multi_agents/agents/utils/llms.py", line 14, in call_model
langgraph-api-1 | response = ChatOpenAI(model=model, max_retries=max_retries, model_kwargs=optional_params, api_key=api_key).invoke(lc_messages).content
langgraph-api-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 113, in __init__
langgraph-api-1 | super().__init__(*args, **kwargs)
langgraph-api-1 | File "/usr/local/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__
langgraph-api-1 | raise validation_error
langgraph-api-1 | pydantic.v1.error_wrappers.ValidationError: 1 validation error for ChatOpenAI
langgraph-api-1 | model
langgraph-api-1 | none is not an allowed value (type=type_error.none.not_allowed)
danieldekay commented
Is your .env file correct and in the right place?
ElishaKay commented
Plus 1 on @danieldekay's recommendation
Welcome @abrebion
Try this:
Add a .env file to the root folder with these values:
OPENAI_API_KEY=
TAVILY_API_KEY=
Get the keys from here:
https://app.tavily.com/sign-in
https://platform.openai.com/api-keys
Then restart docker with: docker compose up --build
May the force be with you 🙏
abrebion commented
Hi, I already have the .env populated in the multi_agents subfolder (same level as langgraph.json) with the 2 keys.
OPENAI_API_KEY=
TAVILY_API_KEY=
Actually the first step (initial research) works as you can see in the screenshot.
ElishaKay commented
Looks like you're running lanngraph-api as a server
Does the gpt-researcher full-stack app meet your need?
Try this:
Add a .env file to the root folder with these values:
OPENAI_API_KEY=
TAVILY_API_KEY=
Get the keys from here:
https://app.tavily.com/sign-in
https://platform.openai.com/api-keys
Then restart docker with: docker compose up --build
Visit localhost:3000
May the force be with you 🙏