mirror of https://github.com/whit3rabbit/anyllm-proxy.git synced 2026-09-21 16:00:49 +00:00

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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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Dashscope (Qwen)

Alibaba Cloud's model inference service, hosting the Qwen family of large language and vision models.

LiteLLM prefix: dashscope/
Status: Stub — routes through OpenAI-compatible client
Docs: https://www.alibabacloud.com/help/en/model-studio/developer-reference/use-qwen-by-calling-api

Authentication

Variable	Required	Description
`DASHSCOPE_API_KEY`	Yes	API key from the Alibaba Cloud DashScope console

Quick Start

Single-Backend (env vars)

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

LiteLLM YAML Config

model_list:
  - model_name: qwen-plus
    litellm_params:
      model: dashscope/qwen-plus
      api_key: "env:DASHSCOPE_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": "qwen-plus", "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": "qwen-plus", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

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

Notable Models

Model ID	Context	Notes
`qwen-turbo`	8k	Fast, low-cost
`qwen-plus`	128k	Balanced quality and speed
`qwen-max`	8k	Highest quality
`qwen-long`	1M	Ultra-long context
`qwen-vl-plus`	—	Vision-language model

Notes

The compatible-mode endpoint (https://dashscope.aliyuncs.com/compatible-mode/v1) provides OpenAI-format request/response compatibility. Qwen models support both Chinese and English. The qwen-long model is suited for document-length contexts up to 1M tokens.

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