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feat: Provider/Mistral full support for Mistral on OpenClaw 🇫🇷 (#23845)

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* Onboard: add Mistral auth choice and CLI flags

* Onboard/Auth: add Mistral provider config defaults

* Auth choice: wire Mistral API-key flow

* Onboard non-interactive: support --mistral-api-key

* Media understanding: add Mistral Voxtral audio provider

* Changelog: note Mistral onboarding and media support

* Docs: add Mistral provider and onboarding/media references

* Tests: cover Mistral media registry/defaults and auth mapping

* Memory: add Mistral embeddings provider support

* Onboarding: refresh Mistral model metadata

* Docs: document Mistral embeddings and endpoints

* Memory: persist Mistral embedding client state in managers

* Memory: add regressions for mistral provider wiring

* Gateway: add live tool probe retry helper

* Gateway: cover live tool probe retry helper

* Gateway: retry malformed live tool-read probe responses

* Memory: support plain-text batch error bodies

* Tests: add Mistral Voxtral live transcription smoke

* Docs: add Mistral live audio test command

* Revert: remove Mistral live voice test and docs entry

* Onboard: re-export Mistral default model ref from models

* Changelog: credit joeVenner for Mistral work

* fix: include Mistral in auto audio key fallback

* Update CHANGELOG.md

* Update CHANGELOG.md

---------

Co-authored-by: Shakker <shakkerdroid@gmail.com>
This commit is contained in:
Vincent Koc
2026-02-22 19:03:56 -05:00
committed by GitHub
parent a66b98a9da
commit d92ba4f8aa
55 changed files with 996 additions and 66 deletions
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docs/help/faq.md
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@@ -1251,14 +1251,15 @@ still need a real API key (`OPENAI_API_KEY` or `models.providers.openai.apiKey`)
If you don't set a provider explicitly, OpenClaw auto-selects a provider when it
can resolve an API key (auth profiles, `models.providers.*.apiKey`, or env vars).
It prefers OpenAI if an OpenAI key resolves, otherwise Gemini if a Gemini key
resolves. If neither key is available, memory search stays disabled until you
configure it. If you have a local model path configured and present, OpenClaw
resolves, then Voyage, then Mistral. If no remote key is available, memory
search stays disabled until you configure it. If you have a local model path
configured and present, OpenClaw
prefers `local`.
If you'd rather stay local, set `memorySearch.provider = "local"` (and optionally
`memorySearch.fallback = "none"`). If you want Gemini embeddings, set
`memorySearch.provider = "gemini"` and provide `GEMINI_API_KEY` (or
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, or local** embedding
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, or local** embedding
models - see [Memory](/concepts/memory) for the setup details.
### Does memory persist forever What are the limits