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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Groq

Ultra-low latency inference powered by LPU hardware. Free tier available.

LiteLLM prefix: groq/
Status: Stub — routes through OpenAI-compatible client
Docs: https://console.groq.com/docs/openai

Authentication

Variable	Required	Description
`GROQ_API_KEY`	Yes	API key from console.groq.com

Quick Start

Single-Backend (env vars)

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

LiteLLM YAML Config

model_list:
  - model_name: llama-3.3-70b
    litellm_params:
      model: groq/llama-3.3-70b-versatile
      api_key: "env:GROQ_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": "llama-3.3-70b-versatile", "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": "llama-3.3-70b-versatile", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

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

Notable Models

Model ID	Context	Notes
`llama-3.3-70b-versatile`	128k	Flagship Llama 3.3 model, best quality
`llama-3.1-8b-instant`	128k	Fast, low-latency
`llama3-70b-8192`	8k	Llama 3 70B
`llama3-8b-8192`	8k	Llama 3 8B
`mixtral-8x7b-32768`	32k	Mixtral MoE
`gemma-7b-it`	8k	Google Gemma 7B
`gemma2-9b-it`	8k	Google Gemma 2 9B

Notes

Groq runs inference on proprietary LPU (Language Processing Unit) silicon, delivering significantly lower latency than GPU-based providers. Rate limits on the free tier are enforced per model. Check https://console.groq.com/docs/rate-limits for current limits.

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