Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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tool_call_parsing
ai-agents-tool-call-parsing-when-using-llama-3-1-with-langchain-and-vllm-s-ope-76b14c3a
IFWhen using Llama 3.1 with LangChain and vLLM's OpenAI-compatible API, tool invocations return raw text with `<python_tag>` prefix instead of structured tool calls.
THENAdd a custom parsing function to the LangChain chain that strips the `<python_tag|>` prefix from the AI message content, then attempts to parse the remaining JSON to extract tool name and parameters, and re-assigns them as ToolCall objects. This workaround intercepts the output and enables tool execution.
Tier 170%
tool_call_parsing
ai-agents-tool-call-parsing-when-using-vllm-s-openai-compatible-api-with-llama-351fdec5
IFWhen using vLLM's OpenAI-compatible API with Llama 3.1 and LangChain, tool invocations are returned as JSON inside the message content with a `<python_tag|>` prefix instead of proper tool_calls.
THENAdd a post-processing step that strips the `<python_tag|>` prefix, parses the content as JSON, and constructs a `ToolCall` object with name, parameters, and id. This can be done via a custom parser or a RunnableLambda in LangChain.
Tier 170%
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