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## Problem When using `ChatOllama` with `create_react_agent`, agents would sometimes terminate prematurely with empty responses when Ollama returned `done_reason: 'load'` responses with no content. This caused agents to return empty `AIMessage` objects instead of actual generated text. ```python from langchain_ollama import ChatOllama from langgraph.prebuilt import create_react_agent from langchain_core.messages import HumanMessage llm = ChatOllama(model='qwen2.5:7b', temperature=0) agent = create_react_agent(model=llm, tools=[]) result = agent.invoke(HumanMessage('Hello'), {"configurable": {"thread_id": "1"}}) # Before fix: AIMessage(content='', response_metadata={'done_reason': 'load'}) # Expected: AIMessage with actual generated content ``` ## Root Cause The `_iterate_over_stream` and `_aiterate_over_stream` methods treated any response with `done: True` as final, regardless of `done_reason`. When Ollama returns `done_reason: 'load'` with empty content, it indicates the model was loaded but no actual generation occurred - this should not be considered a complete response. ## Solution Modified the streaming logic to skip responses when: - `done: True` - `done_reason: 'load'` - Content is empty or contains only whitespace This ensures agents only receive actual generated content while preserving backward compatibility for load responses that do contain content. ## Changes - **`_iterate_over_stream`**: Skip empty load responses instead of yielding them - **`_aiterate_over_stream`**: Apply same fix to async streaming - **Tests**: Added comprehensive test cases covering all edge cases ## Testing All scenarios now work correctly: - ✅ Empty load responses are skipped (fixes original issue) - ✅ Load responses with actual content are preserved (backward compatibility) - ✅ Normal stop responses work unchanged - ✅ Streaming behavior preserved - ✅ `create_react_agent` integration fixed Fixes #31482. <!-- START COPILOT CODING AGENT TIPS --> --- 💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more [Copilot coding agent tips](https://gh.io/copilot-coding-agent-tips) in the docs. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com> Co-authored-by: Mason Daugherty <github@mdrxy.com> |
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.. | ||
__init__.py | ||
test_chat_models.py | ||
test_embeddings.py | ||
test_imports.py | ||
test_llms.py |