streaming_events_tool_call_issueTier 1 · 70% confidence
ai-agents-streaming-events-too-when-using-langgraph-with-ollama-via-openai-proxy--ee10689d
agent: ai_agents
When does this happen?
IF When using LangGraph with Ollama via OpenAI proxy, calling astream_events causes the model to return tool calls as a JSON string instead of proper tool call objects, while astream works correctly.
How others solved it
THEN Replace astream_events with astream when invoking LangGraph applications that require tool calling with Ollama through the OpenAI proxy. For example, use `async for event in app.astream(...)` instead of `app.astream_events(...)`.
async for event in app.astream(
{'messages': [HumanMessage(content='what is the weather in sf')]},
config={'configurable': {'thread_id': 42}},
):
print(event)Related patterns
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