BYOK (Mistral): 422 Unprocessable Entity on the request after a tool call — assistant message sends both `content` and `tool_calls`
Ninguém assumiu esta issue ainda.
Avaliação
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Facilidade para iniciantes
- 52/100
- Tipo de issue
- Bug
- Clareza
- Razoavelmente clara
- Status de atividade
- Ativa
- Stack de tecnologia
- javascript
Direção de pesquisa
Start at runAgenticLoop in app.js and reproduce the follow-up request with a Mistral BYOK provider using devstral-latest or zai-glm-5-2. Inspect the assistant.message and session.error records in ~/.copilot/session-state//events.jsonl, along with the OTel entry, to trace the rejected payload. Done means the agentic loop accepts preamble-plus-tool-call responses and provider error details are surfaced; tool-call ID handling is a secondary concern.
Escrita pelo modelo de indexação a partir do texto da issue.
Descrição
Describe the bug
With a BYOK (custom model) provider configured against the Mistral API (https://api.mistral.ai), model discovery works fine and the first model call of a session succeeds. But as soon as the model emits a short preamble sentence and a tool call in the same assistant message, the next request in the agentic loop fails immediately with:
422 Unprocessable Entity
The session then dies with session.error / errorContext: "model_call" and the UI just shows "Unprocessable Entity" with no detail.
Root cause: Mistral's API rejects an assistant message that carries both a non-empty content field and tool_calls — it requires either content or tool_calls, but not both. Copilot replays the assistant turn with both fields populated when the model prefixes its tool call with text, so the follow-up request (the one carrying the tool result) is invalid.
This is reproducible and correlates perfectly across three local sessions, one of which works:
| Model (same Mistral provider) | First assistant message | Result |
|---|---|---|
mistral-medium-latest |
"content": "" + toolRequests |
✅ works |
devstral-latest |
"content": "I'll help you…" + toolRequests |
❌ 422 |
zai-glm-5-2 |
"content": "I'll analyze this repository…" + toolRequests |
❌ 422 |
The only difference is whether the model happened to emit a preamble alongside the tool call — which is not something the user can control, so any Mistral BYOK model is effectively unusable for agentic work.
Secondary issue (same provider, will bite next): Mistral validates tool_call_id as exactly 9 alphanumeric characters. Native Mistral models return compliant ids (KkQq9A6FI, GrkR6lLMv), but the third-party model zai-glm-5-2 hosted on the same endpoint returns vLLM-style ids such as chatcmpl-tool-aae20b13990bb75a, which Mistral's own request validator then rejects on the follow-up request. Normalizing/remapping tool call ids per-provider would fix that class too.
Affected version
1.0.85 (win32-x64; also reproduced on 1.0.80)
Steps to reproduce the behavior
- Configure a BYOK custom model provider pointing at
https://api.mistral.aiwith a valid API key. Model discovery succeeds and the models appear in the picker. - Start a session with
devstral-latest(or any Mistral-hosted model that emits preamble text before a tool call). - Send any prompt that causes a tool call, e.g.
analyze this repo for me. - The first model call succeeds and the tool executes (visible in the UI), then the session immediately fails with
422 Unprocessable Entity.
Expected behavior
The agentic loop should keep running. When targeting a provider that disallows an assistant message with both content and tool_calls, the client should split them into two messages (or drop/relocate the preamble text) rather than sending a payload the provider rejects.
Secondarily, the surfaced error should include the provider's response body — "422 Unprocessable Entity" with no detail makes this essentially undiagnosable without digging into OTel files.
Additional context
Local evidence (Windows 11, x86_64, Windows Terminal, PowerShell):
~/.copilot/session-state/<id>/events.jsonl — the failing assistant message:
{"type":"assistant.message","data":{"model":"zai-glm-5-2",
"content":"I'll analyze this repository for you. Let me start by exploring its structure and key files.",
"toolRequests":[{"toolCallId":"chatcmpl-tool-aae20b13990bb75a","name":"rename_branch",
"arguments":{"name":"analyze-repo-structure"},"type":"function"}]}}
…followed a fraction of a second later by:
{"type":"session.error","data":{"errorType":"query","message":"422 Unprocessable Entity","statusCode":422}}
{"type":"hook.start","data":{"hookType":"errorOccurred","input":{"error":{"message":"\"422 Unprocessable Entity\""},"errorContext":"model_call","recoverable":true}}}
~/.copilot/otel/copilot-otel.jsonl confirms the first call succeeded and the second failed:
gen_ai.client.token.usage provider=openai server.address=api.mistral.ai
gen_ai.request.model=<provider-id>/zai-glm-5-2 gen_ai.response.model=zai-glm-5-2
input=48464 output=34 <- first call, OK
gen_ai.client.operation.duration error.type=SessionTurnError
gen_ai.operation.name=invoke_agent server.address=api.mistral.ai
duration=0.158s (no gen_ai.response.model) <- second call, 422
The stack trace in the error hook is unhelpful (napi_register_module_v1 frames only) on current builds; on 1.0.80 it pointed at runAgenticLoop in app.js.
Reference for the Mistral constraint: langchain-ai/langchain#21196 — "Assistant message must have either content or tool_calls, but not both."
- Linguagem predominante
- Shell
- Estrelas
- 11.2k
- Forks
- 1.9k
- Merge médio
- 14h 16min
- PRs com merge (30d)
- 6
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Mais de github/copilot-cli
-
triage
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 75/100
github/copilot-cli#4932 ·
-
triage
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 78/100
github/copilot-cli#4909 ·
-
triage
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 76/100
github/copilot-cli#4906 ·
-
triage
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 72/100
github/copilot-cli#4848 ·
-
area:agents area:mcp
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 72/100
github/copilot-cli#4729 ·
Todas as issues de github/copilot-cli
Issues semelhantes
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 70/100
-
Dificuldade 1/5 Menos de uma hora Facilidade para iniciantes 85/100
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 75/100
-
bug easy help wanted
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 75/100
lacs-project/sysknife#503 ·
-
help wanted kind/documentation
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 75/100
liquidmetal-dev/flintlock#1239 ·