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

Files

T

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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Scaleway

Scaleway Generative APIs — European cloud inference with per-deployment endpoint URLs.

LiteLLM prefix: scaleway/
Status: Stub — routes through OpenAI-compatible client
Docs: https://www.scaleway.com/en/docs/ai-data/generative-apis

Authentication

Variable	Required	Description
`SCW_SECRET_KEY`	Yes	Secret key from console.scaleway.com/iam/api-keys

Quick Start

Single-Backend (env vars)

Scaleway uses per-model endpoint URLs. Set OPENAI_BASE_URL to your deployment's endpoint.

BACKEND=scaleway \
  SCW_SECRET_KEY=your-key \
  OPENAI_BASE_URL=https://api.scaleway.ai/<model-name>/v1 \
  cargo run -p anyllm_proxy
# Docker:
docker run \
  -e BACKEND=scaleway \
  -e SCW_SECRET_KEY=your-key \
  -e OPENAI_BASE_URL=https://api.scaleway.ai/llama-3.3-70b-instruct/v1 \
  -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: scaleway/llama-3.3-70b-instruct
      api_key: "env:SCW_SECRET_KEY"
      api_base: "https://api.scaleway.ai/llama-3.3-70b-instruct/v1"

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-instruct", "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-instruct", "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-instruct`	128k	Llama 3.3 70B instruction-tuned
`mistral-nemo-instruct-2407`	128k	Mistral Nemo

Notes

There is no single default base URL. Each model deployment has its own endpoint in the form https://api.scaleway.ai/<model-name>/v1. You must set either OPENAI_BASE_URL (env var, single-backend mode) or api_base per entry in a LiteLLM YAML config. API keys are created at console.scaleway.com under IAM > API Keys. Scaleway's infrastructure is EU-hosted, making it suitable for GDPR-sensitive workloads.

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