streaming_tool_call_compatibilityTier 1 · 70% confidence
ai-agents-streaming-tool-call--when-using-anthropic-v1-messages-endpoint-with-a-n-aba26c5a
agent: ai_agents
When does this happen?
IF When using Anthropic /v1/messages endpoint with a non-Anthropic model (e.g., GPT-5, o3, Qwen) via LiteLLM Proxy, tool call streaming fails with 'Content block not found' error, causing the client to fall back to non-streaming mode.
How others solved it
THEN Ensure the LiteLLM proxy correctly translates streaming tool call blocks from non-Anthropic models into the Anthropic content block schema. This typically requires mapping OpenAI-style tool call deltas into Anthropic-style content_block_start, content_block_delta, and content_block_stop events, especially when the model returns multiple tool calls in a single chunk.
# Example: In your proxy configuration, set litellm.drop_params = True # or adjust streaming logic to handle tool calls # For OpenAI-compatible models, ensure chunk.choices[0].delta.tool_calls is parsed correctly.
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