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Function call with finish_reason of stop - Feedback - OpenAI ...
We are receiving some responses from the api with finish_reason of “stop” when the model is calling a function. Has anyone else experienced this?

How to get the stop_reason in `llm.invoke`? - LangChain ...
afaik, with the current langchain_openai.ChatOpenAI integration, llm.invoke only exposes OpenAI’s standard finish_reason in AIMessage.response_metadata. Provider-specific fields like stop_reason from your vLLM/Qwen server are not propagated, so you can’t read them from AIMessage without customizing the integration or bypassing LangChain.

`finish_reason` wrongly set to `stop` instead of `tool_calls ...
There is a departure from the documentation: when calling a tool, finish_reason is set to stop instead of tool_calls. This forces the developer to inspect the Content and ToolCalls properties in order to consume the result properly.

Finish Reason: STOP - Gemini API - Google AI Developers Forum
Views Activity Intermittent "STOP" without tool_calls in gemini-2.5-flash using LangChain Gemini API api , gemini , gemini-flash-2-5 0 71 January 21, 2026 Empty response.text from Gemini 2.5 Pro, despite no safety and max_tokens issues Gemini API api , gemini-2-5 17 2496 November 24, 2025 Intermittent failure with FinishReason STOP Gemini API ...

OpenAI Completions API — Complete Guide - LinkedIn
Also notice that the finish_reason says “stop”. Even though the completion was cancelled early, it was done because we requested it so, with the stop parameter, thereby it’s a proper completion.

Handling stop reasons - Claude API Docs
The stop_reason field is part of every successful Messages API response. Unlike errors, which indicate failures in processing your request, stop_reason tells you why Claude successfully completed its response generation.

Max_tokens not set, truncated return with "finish_reason": "stop"
The finish reason being “stop” means the AI ended the output. 2845 response tokens is a large amount compared to what most get from this AI just by asking for a writing task. The training and even automatic token bias may have simply gotten high enough for the AI to emit “stop” or it was one of the random chances of an less-likely token being selected from a wide range of possibilities ...

 

 

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