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Mistral API does not accept `reasoning_content` field

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評価

難易度
4/5
見積もり時間
1〜2日
初心者へのやさしさ
54/100
issue の種類
バグ
明瞭さ
おおむね明確
活発さ
活発
技術スタック
clojure
領域
api, backend

調査の方向性

Start by tracing how the Mistral provider builds assistant messages for the next request, especially messages containing reasoning from the previous response. The issue reports a 422 because reasoning_content is sent as an extra field and suggests Mistral's thinking content format as a possible direction. Done means a follow-up prompt works after a reasoning response.

索引モデルが issue の本文から書いたものです。

説明

bug

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Please avoid AI slops, be concise, and focus on what matters for this issue.

Describe the bug

When working with models provided via Mistral's API that support thinking/reasoning (GLM 5.3, Mistral Large 4, etc) and reasoning is enabled (e.g. reasoning_effort: high), the second prompt send by the user always fails with response status code 422 and message and an error message of the sort:

{"detail":[{"type":"extra_forbidden","loc":["body","messages",2,"assistant","reasoning_content"],"msg":"Extra inputs are not permitted","input":"The user just said \"Hello.\" with no specific task. I should respond briefly and greet them, maybe noting what I can see in their workspace. No need for tools here. Keep it short."}]}

To Reproduce

Steps to reproduce the behavior:

  1. Select a model hosted by Mistral that supports reasoning (e.g. mistral/zai-glm-5-3).
  2. Write and send a simple user prompt (e.g. "Hello")
  3. Wait the model to think and reply (the reply must include a "thought" block).
  4. Write and send another user prompt (e.g. "Hi again").

Expected behavior

Receive a proper response from the model and resume the conversation.

Doctor

ECA version: 0.166.0

Server cmd: ~/.cache/emacs/eca/eca server

Logged providers:
mistral: API key (XXX**********XXX)

Screenshots

Additional context

I have encountered the same issue with other frameworks and the problem there was caused by Mistral's API not expecting a reasoning_content field, like Deepseek's and OpenAI's APIs. Not sure if that is the proper solution or just a workaround but, it appears that placing reasoning content inside a "thinking" element (seems unique to Mistral's API spec) which is placed inside the content of a regular "assistant" message, works. For example:

{
  "model": "mistral-small-latest",
  "messages": [
    {
      "role": "system",
      "content": "You are a large language model living in Emacs and a helpful assistant. Respond concisely."
    },
    {
      "role": "user",
      "content": "Hello. Please list the files in the current directory and report them to me."
    },
    {
      "role": "assistant",
      "tool_calls": [
        {
          "id": "oagouVY1Z",
          "type": "function",
          "function": {
            "name": "list_directory",
            "arguments": "{\"path\": \".\"}"
          },
          "index": 0
        }
      ],
      "content": [
        {
          "type": "thinking",
          "thinking": [
            {
              "type": "text",
              "text": "The user wants me to list the files in the current directory. I need to use the list_directory tool to do this. Since they said \"current directory\", I should use \".\" as the path to represent the current directory."
            }
          ],
          "closed": true
        }
      ]
    },
    {
      "role": "tool",
      "tool_call_id": "oagouVY1Z",
      "content": "..."
    }
  ],
  "stream": false,
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "list_directory",
        "description": "List the contents of a specified directory.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "description": "Path to the directory. Supports relative paths and '~'.",
              "type": "string"
            }
          },
          "required": [
            "path"
          ],
          "additionalProperties": false
        }
      }
    }
  ],
  "parallel_tool_calls": true,
  "reasoning_effort": "high"
}
主要言語
Clojure
スター
1k
フォーク
82
平均マージ
2日 2時間
マージ済み PR(30日)
21

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