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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Cohere

Enterprise-focused LLMs with strong retrieval and tool use capabilities, accessed via Cohere's OpenAI-compatibility endpoint.

LiteLLM prefix: cohere_chat/
Status: Stub — routes through OpenAI-compatible client
Docs: https://docs.cohere.com/v2/docs/compatibility-api

Authentication

Variable	Required	Description
`COHERE_API_KEY`	Yes	API key from dashboard.cohere.com/api-keys

Quick Start

Single-Backend (env vars)

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

LiteLLM YAML Config

model_list:
  - model_name: command-r-plus
    litellm_params:
      model: cohere_chat/command-r-plus-08-2024
      api_key: "env:COHERE_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": "command-r-plus-08-2024", "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": "command-r-plus-08-2024", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

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

Notable Models

Model ID	Context	Notes
`command-r-plus-08-2024`	128k	Highest quality, strong tool use and RAG
`command-r-08-2024`	128k	Balanced, optimized for RAG workflows
`command-light`	4k	Lightweight, lowest latency

Notes

This provider uses Cohere's OpenAI compatibility endpoint (https://api.cohere.com/compatibility/v1). The native Cohere API format (cohere_chat in LiteLLM) is not implemented in this proxy — all requests go through the compatibility layer. Embeddings are available but use Cohere's own model IDs (e.g., embed-english-v3.0); confirm model availability via the Cohere dashboard. Vision input is not supported on any current Command model.

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