mirror of https://github.com/whit3rabbit/anyllm-proxy.git synced 2026-09-22 16:00:51 +00:00

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whit3rabbitandClaude Sonnet 4.6 545bdbbbd3 feat: add bedrock native passthrough, generic passthrough, provider docs, and managed backend fixes

Adds bedrock_native.rs (Converse/InvokeModel with SigV4) and
generic_passthrough.rs catch-all for Translate mode. Adds comprehensive
provider reference docs (docs/providers/, docs/ENDPOINTS.md). Fixes
managed backend admin UI (BackendForm, ManagedBackendsSection) and
admin route/model handler issues. Adds automated model pricing update
workflow (scripts/update_pricing.py, .github/workflows/update-pricing.yml).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-08 16:36:16 -05:00

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Mistral AI

European LLM provider offering instruction-tuned, code, and vision models via an OpenAI-compatible API.

LiteLLM prefix: mistral/
Status: Stub — routes through OpenAI-compatible client
Docs: https://docs.mistral.ai/api/

Authentication

Variable	Required	Description
`MISTRAL_API_KEY`	Yes	API key from console.mistral.ai

Quick Start

Single-Backend (env vars)

BACKEND=mistral MISTRAL_API_KEY=your-key cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=mistral -e MISTRAL_API_KEY=your-key -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy

LiteLLM YAML Config

model_list:
  - model_name: mistral-large
    litellm_params:
      model: mistral/mistral-large-latest
      api_key: "env:MISTRAL_API_KEY"

Usage Examples

Anthropic Messages API

curl http://localhost:3000/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: $PROXY_API_KEYS" \
  -d '{"model": "mistral-large-latest", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'

OpenAI Chat Completions API

curl http://localhost:3000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PROXY_API_KEYS" \
  -d '{"model": "mistral-large-latest", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

Feature	Supported
Chat Completions	✓
Streaming	✓
Tool Use	✓
Embeddings	✓
Vision	✓
Batch	—

Notable Models

Model ID	Context	Notes
`mistral-large-latest`	131k	Flagship model, function calling
`mistral-small-latest`	131k	Cost-efficient, function calling
`mistral-nemo`	128k	Jointly developed with NVIDIA
`open-mixtral-8x22b`	65k	Open-weights MoE model
`codestral-latest`	256k	Code generation specialist, no tool use
`pixtral-large-latest`	131k	Vision + text, function calling

Notes

codestral-latest is served from a separate endpoint (https://codestral.mistral.ai/v1). If you need Codestral, use the codestral provider instead of mistral. Vision capability (pixtral-large-latest) is available but not all models support image inputs — check per-model capabilities before use. Embeddings are served at /v1/embeddings using the standard OpenAI format.

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