langchain - 💡(How to fix) Fix `ollama._types.ResponseError: Internal Server Error (ref: 3f380fc3-f1b8-4b9e-aa2c-5c4486b28c08) (status code: 500)` [1 comments, 2 participants]

khteh · 2026-04-08T04:37:57Z

[langchain] Trying to use a larger Ollama model, gpt-oss:120b-cloud and it hits the 500 exception. Langsmith trace: https://smith.langchain.com/public/28d84063… Trying to use a larger Ollama model, `gpt-oss:120b-cloud` and it hits the 500 exception. Langsmith trace: https://smith.langchain.com/public/28d84063-6b03-4b66-b004-c0ce5dc5aeb3/r ## Fix / Workaround - [x] This is a bug, not a usage question. - [x] I added a clear and descriptive title that summarizes this issue. - [x] I used the GitHub search to find a similar question and didn't find it. - [x] I am sure that this is a bug in LangChain rather than my code. - [x] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). - [x] This is not related to the langchain-community package. - [x] I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS. Other Dependencies ------------------ > aiohttp: 3.13.5 > anthropic: 0.89.0 > asyncpg: 0.31.0 > blockbuster: 1.5.26 > click: 8.3.2 > cloudpickle: 3.1.2 > croniter: 6.2.2 > cryptography: 46.0.6 > dataclasses-json: 0.6.7 > filetype: 1.2.0 > google-genai: 1.70.0 > grpcio: 1.80.0 > grpcio-health-checking: 1.80.0 > grpcio-tools: 1.75.1 > httpx: 0.28.1 > httpx-sse: 0.4.3 > jsonpatch: 1.33 > jsonschema-rs: 0.29.1 > langgraph: 1.1.6 > langgraph-checkpoint: 4.0.1 > neo4j: 6.1.0 > neo4j-graphrag: 1.14.1 > numpy: 2.4.4 > ollama: 0.6.1 > openai: 2.30.0 > opentelemetry-api: 1.40.0 > opentelemetry-exporter-otlp-proto-http: 1.40.0 > opentelemetry-sdk: 1.40.0 > orjson: 3.11.8 > packaging: 26.0 > pgvector: 0.3.6 > protobuf: 6.33.6 > psycopg: 3.3.3 > psycopg-pool: 3.3.0 > pydantic: 2.12.5 > pydantic-settings: 2.13.1 > pyjwt: 2.12.1 > pytest: 9.0.2 > python-dotenv: 1.2.2 > pyyaml: 6.0.3 > PyYAML: 6.0.3 > requests: 2.33.1 > requests-toolbelt: 1.0.0 > sqlalchemy: 2.0.49 > SQLAlchemy: 2.0.49 > sse-starlette: 2.1.3 > starlette: 1.0.0 > structlog: 25.5.0 > tenacity: 9.1.4 > tiktoken: 0.12.0 > truststore: 0.10.4 > typing-extensions: 4.15.0 > uuid-utils: 0.14.1 > uvicorn: 0.43.0 > watchfiles: 1.1.1 > wcmatch: 10.1 > websockets: 16.0 > xxhash: 3.6.0 > zstandard: 0.25.0 ``` ### Checked other resources - [x] This is a bug, not a usage question. - [x] I added a clear and descriptive title that summarizes this issue. - [x] I used the GitHub search to find a similar question and didn't find it. - [x] I am sure that this is a bug in LangChain rather than my code. - [x] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). - [x] This is not related to the langchain-community package. - [x] I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS. ### Package (Required) - [x] langchain - [ ] langchain-openai - [ ] langchain-anthropic - [ ] langchain-classic - [x] langchain-core - [ ] langchain-model-profiles - [ ] langchain-tests - [ ] langchain-text-splitters - [ ] langchain-chroma - [ ] langchain-deepseek - [ ] langchain-exa - [ ] langchain-fireworks - [ ] langchain-groq - [ ] langchain-huggingface - [ ] langchain-mistralai - [ ] langchain-nomic - [x] langchain-ollama - [ ] langchain-openrouter - [ ] langchain-perplexity - [ ] langchain-qdrant - [ ] langchain-xai - [ ] Other / not sure / general ### Related Issues / PRs _No response_ ### Reproduction Steps / Example Code (Python) https://github.com/khteh/rag-agent/blob/master/src/rag_agent/EmailRAG.py ### Error Message and Stack Trace (if applicable) ```shell Traceback (most recent call last): File " ", line 198, in _run_module_as_main File " ", line 88, in _run_code File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 329, in asyncio.run(main()) ~~~~~~~~~~~^^^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run return runner.run(main) ~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run return self._loop.run_until_complete(task) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/base_events.py", line 725, in run_until_complete return future.result() ~~~~~~~~~~~~~^^ File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 322, in main result = await rag.Chat("There's an immediate risk of electrical, water, or fire damage", email_state) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 290, in Chat async for step in self._agent.with_config(config).astream( ... ... step["messages"][-1].pretty_print() File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3128, in astream async for _ in runner.atick( ... ... yield o File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 304, in atick await arun_with_retry( ... ... ) File "/usr/src/Python/rag-agent/.venv

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Trying to use a larger Ollama model, gpt-oss:120b-cloud and it hits the 500 exception. Langsmith trace: https://smith.langchain.com/public/28d84063-6b03-4b66-b004-c0ce5dc5aeb3/r

Error Message

Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 329, in <module> asyncio.run(main()) ~~~~~~~~~~~^^^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run return runner.run(main) ~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run return self._loop.run_until_complete(task) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/base_events.py", line 725, in run_until_complete return future.result() ~~~~~~~~~~~~~^^ File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 322, in main result = await rag.Chat("There's an immediate risk of electrical, water, or fire damage", email_state) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 290, in Chat async for step in self._agent.with_config(config).astream( ...<5 lines>... step["messages"][-1].pretty_print() File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3128, in astream async for _ in runner.atick( ...<16 lines>... yield o File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 304, in atick await arun_with_retry( ...<15 lines>... ) File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py", line 242, in arun_with_retry return await task.proc.ainvoke(task.input, config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 705, in ainvoke input = await asyncio.create_task( ^^^^^^^^^^^^^^^^^^^^^^^^^^ step.ainvoke(input, config, **kwargs), context=context ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 473, in ainvoke ret = await self.afunc(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1361, in amodel_node result = await awrap_model_call_handler(request, _execute_model_async) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed outer_result = await outer(request, inner_handler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/middleware/todo.py", line 271, in awrap_model_call return await handler(request.override(system_message=new_system_message)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler inner_result = await inner(req, handler) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed outer_result = await outer(request, inner_handler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py", line 1126, in awrap_model_call return await handler(request) ^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler inner_result = await inner(req, handler) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed outer_result = await outer(request, inner_handler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/subagents.py", line 691, in awrap_model_call return await handler(request.override(system_message=new_system_message)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler inner_result = await inner(req, handler) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed outer_result = await outer(request, inner_handler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/summarization.py", line 1024, in awrap_model_call return await handler(request.override(messages=truncated_messages)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler inner_result = await inner(req, handler) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_anthropic/middleware/prompt_caching.py", line 180, in awrap_model_call return await handler(request) ^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1330, in execute_model_async output = await model.ainvoke(messages) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py", line 5708, in ainvoke return await self.bound.ainvoke( ^^^^^^^^^^^^^^^^^^^^^^^^^ ...<3 lines>... ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 477, in ainvoke llm_result = await self.agenerate_prompt( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<8 lines>... ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1196, in agenerate_prompt return await self.agenerate( ^^^^^^^^^^^^^^^^^^^^^ prompt_messages, stop=stop, callbacks=callbacks, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1154, in agenerate raise exceptions[0] File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1423, in _agenerate_with_cache result = await self._agenerate( ^^^^^^^^^^^^^^^^^^^^^^ messages, stop=stop, run_manager=run_manager, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1208, in _agenerate final_chunk = await self._achat_stream_with_aggregation( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ messages, stop, run_manager, verbose=self.verbose, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 991, in _achat_stream_with_aggregation async for chunk in self._aiterate_over_stream(messages, stop, **kwargs): ...<9 lines>... ) File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1131, in _aiterate_over_stream async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs): ...<52 lines>... yield chunk File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 937, in _acreate_chat_stream async for part in await self._async_client.chat(**chat_params): yield part File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/ollama/_client.py", line 757, in inner raise ResponseError(e.response.text, e.response.status_code) from None ollama._types.ResponseError: Internal Server Error (ref: 3f380fc3-f1b8-4b9e-aa2c-5c4486b28c08) (status code: 500)

Root Cause

Trying to use a larger Ollama model, gpt-oss:120b-cloud and it hits the 500 exception. Langsmith trace: https://smith.langchain.com/public/28d84063-6b03-4b66-b004-c0ce5dc5aeb3/r

Fix Action

Fix / Workaround

This is a bug, not a usage question.
I added a clear and descriptive title that summarizes this issue.
I used the GitHub search to find a similar question and didn't find it.
I am sure that this is a bug in LangChain rather than my code.
The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
This is not related to the langchain-community package.
I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.

Other Dependencies

aiohttp: 3.13.5 anthropic: 0.89.0 asyncpg: 0.31.0 blockbuster: 1.5.26 click: 8.3.2 cloudpickle: 3.1.2 croniter: 6.2.2 cryptography: 46.0.6 dataclasses-json: 0.6.7 filetype: 1.2.0 google-genai: 1.70.0 grpcio: 1.80.0 grpcio-health-checking: 1.80.0 grpcio-tools: 1.75.1 httpx: 0.28.1 httpx-sse: 0.4.3 jsonpatch: 1.33 jsonschema-rs: 0.29.1 langgraph: 1.1.6 langgraph-checkpoint: 4.0.1 neo4j: 6.1.0 neo4j-graphrag: 1.14.1 numpy: 2.4.4 ollama: 0.6.1 openai: 2.30.0 opentelemetry-api: 1.40.0 opentelemetry-exporter-otlp-proto-http: 1.40.0 opentelemetry-sdk: 1.40.0 orjson: 3.11.8 packaging: 26.0 pgvector: 0.3.6 protobuf: 6.33.6 psycopg: 3.3.3 psycopg-pool: 3.3.0 pydantic: 2.12.5 pydantic-settings: 2.13.1 pyjwt: 2.12.1 pytest: 9.0.2 python-dotenv: 1.2.2 pyyaml: 6.0.3 PyYAML: 6.0.3 requests: 2.33.1 requests-toolbelt: 1.0.0 sqlalchemy: 2.0.49 SQLAlchemy: 2.0.49 sse-starlette: 2.1.3 starlette: 1.0.0 structlog: 25.5.0 tenacity: 9.1.4 tiktoken: 0.12.0 truststore: 0.10.4 typing-extensions: 4.15.0 uuid-utils: 0.14.1 uvicorn: 0.43.0 watchfiles: 1.1.1 wcmatch: 10.1 websockets: 16.0 xxhash: 3.6.0 zstandard: 0.25.0

Code Example

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 329, in <module>
    asyncio.run(main())
    ~~~~~~~~~~~^^^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/base_events.py", line 725, in run_until_complete
    return future.result()
           ~~~~~~~~~~~~~^^
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 322, in main
    result = await rag.Chat("There's an immediate risk of electrical, water, or fire damage", email_state)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 290, in Chat
    async for step in self._agent.with_config(config).astream(
    ...<5 lines>...
        step["messages"][-1].pretty_print()
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3128, in astream
    async for _ in runner.atick(
    ...<16 lines>...
            yield o
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 304, in atick
    await arun_with_retry(
    ...<15 lines>...
    )
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py", line 242, in arun_with_retry
    return await task.proc.ainvoke(task.input, config)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 705, in ainvoke
    input = await asyncio.create_task(
            ^^^^^^^^^^^^^^^^^^^^^^^^^^
        step.ainvoke(input, config, **kwargs), context=context
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 473, in ainvoke
    ret = await self.afunc(*args, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1361, in amodel_node
    result = await awrap_model_call_handler(request, _execute_model_async)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/middleware/todo.py", line 271, in awrap_model_call
    return await handler(request.override(system_message=new_system_message))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py", line 1126, in awrap_model_call
    return await handler(request)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/subagents.py", line 691, in awrap_model_call
    return await handler(request.override(system_message=new_system_message))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/summarization.py", line 1024, in awrap_model_call
    return await handler(request.override(messages=truncated_messages))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_anthropic/middleware/prompt_caching.py", line 180, in awrap_model_call
    return await handler(request)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1330, in _execute_model_async
    output = await model_.ainvoke(messages)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py", line 5708, in ainvoke
    return await self.bound.ainvoke(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<3 lines>...
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 477, in ainvoke
    llm_result = await self.agenerate_prompt(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<8 lines>...
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1196, in agenerate_prompt
    return await self.agenerate(
           ^^^^^^^^^^^^^^^^^^^^^
        prompt_messages, stop=stop, callbacks=callbacks, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1154, in agenerate
    raise exceptions[0]
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1423, in _agenerate_with_cache
    result = await self._agenerate(
             ^^^^^^^^^^^^^^^^^^^^^^
        messages, stop=stop, run_manager=run_manager, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1208, in _agenerate
    final_chunk = await self._achat_stream_with_aggregation(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        messages, stop, run_manager, verbose=self.verbose, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 991, in _achat_stream_with_aggregation
    async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
    ...<9 lines>...
            )
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1131, in _aiterate_over_stream
    async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
    ...<52 lines>...
            yield chunk
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 937, in _acreate_chat_stream
    async for part in await self._async_client.chat(**chat_params):
        yield part
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/ollama/_client.py", line 757, in inner
    raise ResponseError(e.response.text, e.response.status_code) from None
ollama._types.ResponseError: Internal Server Error (ref: 3f380fc3-f1b8-4b9e-aa2c-5c4486b28c08) (status code: 500)

---

System Information
------------------
> OS:  Linux
> OS Version:  #20-Ubuntu SMP PREEMPT_DYNAMIC Fri Mar 13 20:07:29 UTC 2026
> Python Version:  3.13.7 (main, Mar  3 2026, 12:19:54) [GCC 15.2.0]

Package Information
-------------------
> langchain_core: 1.2.26
> langchain: 1.2.15
> langchain_community: 0.4.1
> langsmith: 0.7.25
> deepagents: 0.4.12
> langchain_anthropic: 1.4.0
> langchain_classic: 1.0.3
> langchain_google_genai: 4.2.1
> langchain_neo4j: 0.9.0
> langchain_ollama: 1.0.1
> langchain_openai: 1.1.12
> langchain_postgres: 0.0.17
> langchain_text_splitters: 1.1.1
> langgraph_api: 0.7.27
> langgraph_cli: 0.4.19
> langgraph_runtime_inmem: 0.24.1
> langgraph_sdk: 0.3.12

Optional packages not installed
-------------------------------
> deepagents-cli

Other Dependencies
------------------
> aiohttp: 3.13.5
> anthropic: 0.89.0
> asyncpg: 0.31.0
> blockbuster: 1.5.26
> click: 8.3.2
> cloudpickle: 3.1.2
> croniter: 6.2.2
> cryptography: 46.0.6
> dataclasses-json: 0.6.7
> filetype: 1.2.0
> google-genai: 1.70.0
> grpcio: 1.80.0
> grpcio-health-checking: 1.80.0
> grpcio-tools: 1.75.1
> httpx: 0.28.1
> httpx-sse: 0.4.3
> jsonpatch: 1.33
> jsonschema-rs: 0.29.1
> langgraph: 1.1.6
> langgraph-checkpoint: 4.0.1
> neo4j: 6.1.0
> neo4j-graphrag: 1.14.1
> numpy: 2.4.4
> ollama: 0.6.1
> openai: 2.30.0
> opentelemetry-api: 1.40.0
> opentelemetry-exporter-otlp-proto-http: 1.40.0
> opentelemetry-sdk: 1.40.0
> orjson: 3.11.8
> packaging: 26.0
> pgvector: 0.3.6
> protobuf: 6.33.6
> psycopg: 3.3.3
> psycopg-pool: 3.3.0
> pydantic: 2.12.5
> pydantic-settings: 2.13.1
> pyjwt: 2.12.1
> pytest: 9.0.2
> python-dotenv: 1.2.2
> pyyaml: 6.0.3
> PyYAML: 6.0.3
> requests: 2.33.1
> requests-toolbelt: 1.0.0
> sqlalchemy: 2.0.49
> SQLAlchemy: 2.0.49
> sse-starlette: 2.1.3
> starlette: 1.0.0
> structlog: 25.5.0
> tenacity: 9.1.4
> tiktoken: 0.12.0
> truststore: 0.10.4
> typing-extensions: 4.15.0
> uuid-utils: 0.14.1
> uvicorn: 0.43.0
> watchfiles: 1.1.1
> wcmatch: 10.1
> websockets: 16.0
> xxhash: 3.6.0
> zstandard: 0.25.0

RAW_BUFFERClick to expand / collapse

Checked other resources

This is a bug, not a usage question.
I added a clear and descriptive title that summarizes this issue.
I used the GitHub search to find a similar question and didn't find it.
I am sure that this is a bug in LangChain rather than my code.
The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
This is not related to the langchain-community package.
I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.

Package (Required)

Related Issues / PRs

No response

Reproduction Steps / Example Code (Python)

https://github.com/khteh/rag-agent/blob/master/src/rag_agent/EmailRAG.py

Error Message and Stack Trace (if applicable)

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 329, in <module>
    asyncio.run(main())
    ~~~~~~~~~~~^^^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/base_events.py", line 725, in run_until_complete
    return future.result()
           ~~~~~~~~~~~~~^^
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 322, in main
    result = await rag.Chat("There's an immediate risk of electrical, water, or fire damage", email_state)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/src/rag_agent/EmailRAG.py", line 290, in Chat
    async for step in self._agent.with_config(config).astream(
    ...<5 lines>...
        step["messages"][-1].pretty_print()
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py", line 3128, in astream
    async for _ in runner.atick(
    ...<16 lines>...
            yield o
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py", line 304, in atick
    await arun_with_retry(
    ...<15 lines>...
    )
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py", line 242, in arun_with_retry
    return await task.proc.ainvoke(task.input, config)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 705, in ainvoke
    input = await asyncio.create_task(
            ^^^^^^^^^^^^^^^^^^^^^^^^^^
        step.ainvoke(input, config, **kwargs), context=context
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py", line 473, in ainvoke
    ret = await self.afunc(*args, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1361, in amodel_node
    result = await awrap_model_call_handler(request, _execute_model_async)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/middleware/todo.py", line 271, in awrap_model_call
    return await handler(request.override(system_message=new_system_message))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py", line 1126, in awrap_model_call
    return await handler(request)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/subagents.py", line 691, in awrap_model_call
    return await handler(request.override(system_message=new_system_message))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 386, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/deepagents/middleware/summarization.py", line 1024, in awrap_model_call
    return await handler(request.override(messages=truncated_messages))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 376, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_anthropic/middleware/prompt_caching.py", line 180, in awrap_model_call
    return await handler(request)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain/agents/factory.py", line 1330, in _execute_model_async
    output = await model_.ainvoke(messages)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py", line 5708, in ainvoke
    return await self.bound.ainvoke(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<3 lines>...
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 477, in ainvoke
    llm_result = await self.agenerate_prompt(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<8 lines>...
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1196, in agenerate_prompt
    return await self.agenerate(
           ^^^^^^^^^^^^^^^^^^^^^
        prompt_messages, stop=stop, callbacks=callbacks, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1154, in agenerate
    raise exceptions[0]
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py", line 1423, in _agenerate_with_cache
    result = await self._agenerate(
             ^^^^^^^^^^^^^^^^^^^^^^
        messages, stop=stop, run_manager=run_manager, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1208, in _agenerate
    final_chunk = await self._achat_stream_with_aggregation(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        messages, stop, run_manager, verbose=self.verbose, **kwargs
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 991, in _achat_stream_with_aggregation
    async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
    ...<9 lines>...
            )
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 1131, in _aiterate_over_stream
    async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
    ...<52 lines>...
            yield chunk
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/langchain_ollama/chat_models.py", line 937, in _acreate_chat_stream
    async for part in await self._async_client.chat(**chat_params):
        yield part
  File "/usr/src/Python/rag-agent/.venv/lib/python3.13/site-packages/ollama/_client.py", line 757, in inner
    raise ResponseError(e.response.text, e.response.status_code) from None
ollama._types.ResponseError: Internal Server Error (ref: 3f380fc3-f1b8-4b9e-aa2c-5c4486b28c08) (status code: 500)

Description

Trying to use a larger Ollama model, gpt-oss:120b-cloud and it hits the 500 exception. Langsmith trace: https://smith.langchain.com/public/28d84063-6b03-4b66-b004-c0ce5dc5aeb3/r

System Info

System Information
------------------
> OS:  Linux
> OS Version:  #20-Ubuntu SMP PREEMPT_DYNAMIC Fri Mar 13 20:07:29 UTC 2026
> Python Version:  3.13.7 (main, Mar  3 2026, 12:19:54) [GCC 15.2.0]

Package Information
-------------------
> langchain_core: 1.2.26
> langchain: 1.2.15
> langchain_community: 0.4.1
> langsmith: 0.7.25
> deepagents: 0.4.12
> langchain_anthropic: 1.4.0
> langchain_classic: 1.0.3
> langchain_google_genai: 4.2.1
> langchain_neo4j: 0.9.0
> langchain_ollama: 1.0.1
> langchain_openai: 1.1.12
> langchain_postgres: 0.0.17
> langchain_text_splitters: 1.1.1
> langgraph_api: 0.7.27
> langgraph_cli: 0.4.19
> langgraph_runtime_inmem: 0.24.1
> langgraph_sdk: 0.3.12

Optional packages not installed
-------------------------------
> deepagents-cli

Other Dependencies
------------------
> aiohttp: 3.13.5
> anthropic: 0.89.0
> asyncpg: 0.31.0
> blockbuster: 1.5.26
> click: 8.3.2
> cloudpickle: 3.1.2
> croniter: 6.2.2
> cryptography: 46.0.6
> dataclasses-json: 0.6.7
> filetype: 1.2.0
> google-genai: 1.70.0
> grpcio: 1.80.0
> grpcio-health-checking: 1.80.0
> grpcio-tools: 1.75.1
> httpx: 0.28.1
> httpx-sse: 0.4.3
> jsonpatch: 1.33
> jsonschema-rs: 0.29.1
> langgraph: 1.1.6
> langgraph-checkpoint: 4.0.1
> neo4j: 6.1.0
> neo4j-graphrag: 1.14.1
> numpy: 2.4.4
> ollama: 0.6.1
> openai: 2.30.0
> opentelemetry-api: 1.40.0
> opentelemetry-exporter-otlp-proto-http: 1.40.0
> opentelemetry-sdk: 1.40.0
> orjson: 3.11.8
> packaging: 26.0
> pgvector: 0.3.6
> protobuf: 6.33.6
> psycopg: 3.3.3
> psycopg-pool: 3.3.0
> pydantic: 2.12.5
> pydantic-settings: 2.13.1
> pyjwt: 2.12.1
> pytest: 9.0.2
> python-dotenv: 1.2.2
> pyyaml: 6.0.3
> PyYAML: 6.0.3
> requests: 2.33.1
> requests-toolbelt: 1.0.0
> sqlalchemy: 2.0.49
> SQLAlchemy: 2.0.49
> sse-starlette: 2.1.3
> starlette: 1.0.0
> structlog: 25.5.0
> tenacity: 9.1.4
> tiktoken: 0.12.0
> truststore: 0.10.4
> typing-extensions: 4.15.0
> uuid-utils: 0.14.1
> uvicorn: 0.43.0
> watchfiles: 1.1.1
> wcmatch: 10.1
> websockets: 16.0
> xxhash: 3.6.0
> zstandard: 0.25.0

extent analysis

TL;DR

The issue is likely due to the larger Ollama model gpt-oss:120b-cloud causing an internal server error, and a potential fix could be to adjust the model or its configuration to prevent the error.

Guidance

Verify that the gpt-oss:120b-cloud model is compatible with the current version of LangChain and its dependencies.
Check the Langsmith trace for any additional information about the error.
Consider reducing the model size or adjusting its configuration to prevent the internal server error.
Review the system information and package versions to ensure that all dependencies are up-to-date and compatible.

Example

No specific code example is provided, but reviewing the EmailRAG.py file and the LangChain configuration may help identify the issue.

Notes

The error message indicates an internal server error, which could be caused by a variety of factors, including model compatibility, configuration, or dependency issues. Further investigation is needed to determine the root cause.

Recommendation

Apply a workaround by adjusting the model or its configuration to prevent the internal server error, as upgrading to a fixed version is not explicitly implied in the issue.

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