Mistral
Velaclaw supports Mistral for both text/image model routing (mistral/...) and
audio transcription via Voxtral in media understanding.
Mistral can also be used for memory embeddings (memorySearch.provider = "mistral").
- Provider:
mistral - Auth:
MISTRAL_API_KEY - API: Mistral Chat Completions (
https://api.mistral.ai/v1)
Getting started
1
Get your API key
Create an API key in the Mistral Console.
2
Run onboarding
3
Set a default model
4
Verify the model is available
Built-in LLM catalog
Velaclaw currently ships this bundled Mistral catalog:Audio transcription (Voxtral)
Use Voxtral for audio transcription through the media understanding pipeline.Advanced configuration
Adjustable reasoning (mistral-small-latest)
Adjustable reasoning (mistral-small-latest)
mistral/mistral-small-latest maps to Mistral Small 4 and supports adjustable reasoning on the Chat Completions API via reasoning_effort (none minimizes extra thinking in the output; high surfaces full thinking traces before the final answer).Velaclaw maps the session thinking level to Mistral’s API:Other bundled Mistral catalog models do not use this parameter. Keep using
magistral-* models when you want Mistral’s native reasoning-first behavior.Memory embeddings
Memory embeddings
Mistral can serve memory embeddings via
/v1/embeddings (default model: mistral-embed).Auth and base URL
Auth and base URL
- Mistral auth uses
MISTRAL_API_KEY. - Provider base URL defaults to
https://api.mistral.ai/v1. - Onboarding default model is
mistral/mistral-large-latest. - Z.AI uses Bearer auth with your API key.
Related
Model selection
Choosing providers, model refs, and failover behavior.
Media understanding
Audio transcription setup and provider selection.