chore: import upstream snapshot with attribution
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# EXAMPLE — copy this file to ../mistral.yaml (or to your
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# MODELS_CONFIG_DIR) and set MISTRAL_API_KEY in your environment.
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#
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# This is the entire integration. No Python required: the
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# `openai_compatible` plugin reads `api_key_env` and `base_url` from
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# the file and routes calls through the OpenAI wire format.
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#
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# Files in this `examples/` directory are NOT loaded by the registry
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# (the loader globs *.yaml at the top level only).
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provider: openai_compatible
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display_provider: mistral # shown in /api/models response
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api_key_env: MISTRAL_API_KEY # env var the plugin reads
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base_url: https://api.mistral.ai/v1 # OpenAI-compatible endpoint
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defaults:
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supports_tools: true
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context_window: 128000
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models:
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- id: mistral-large-latest
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display_name: Mistral Large
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description: Top-tier reasoning model
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- id: mistral-small-latest
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display_name: Mistral Small
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description: Fast, cost-efficient
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- id: codestral-latest
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display_name: Codestral
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description: Code-specialized model
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