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whit3rabbitandClaude Sonnet 4.6
545bdbbbd3
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>
79 lines
2.1 KiB
Markdown
79 lines
2.1 KiB
Markdown
# Dashscope (Qwen)
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Alibaba Cloud's model inference service, hosting the Qwen family of large language and vision models.
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**LiteLLM prefix:** `dashscope/`
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**Status:** Stub — routes through OpenAI-compatible client
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**Docs:** https://www.alibabacloud.com/help/en/model-studio/developer-reference/use-qwen-by-calling-api
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## Authentication
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| Variable | Required | Description |
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|---|---|---|
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| `DASHSCOPE_API_KEY` | Yes | API key from the Alibaba Cloud DashScope console |
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## Quick Start
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### Single-Backend (env vars)
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```bash
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BACKEND=dashscope DASHSCOPE_API_KEY=your-key cargo run -p anyllm_proxy
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# Docker:
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docker run -e BACKEND=dashscope -e DASHSCOPE_API_KEY=your-key -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy
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```
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### LiteLLM YAML Config
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```yaml
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model_list:
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- model_name: qwen-plus
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litellm_params:
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model: dashscope/qwen-plus
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api_key: "env:DASHSCOPE_API_KEY"
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```
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## Usage Examples
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### Anthropic Messages API
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```bash
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curl http://localhost:3000/v1/messages \
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-H "Content-Type: application/json" \
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-H "x-api-key: $PROXY_API_KEYS" \
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-d '{"model": "qwen-plus", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'
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```
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### OpenAI Chat Completions API
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer $PROXY_API_KEYS" \
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-d '{"model": "qwen-plus", "messages": [{"role": "user", "content": "Hello"}]}'
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```
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## Capabilities
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| Feature | Supported |
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| Chat Completions | ✓ |
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| Streaming | ✓ |
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| Tool Use | ✓ |
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| Embeddings | ✓ |
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| Vision | ✓ |
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| Batch | — |
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## Notable Models
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| Model ID | Context | Notes |
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| `qwen-turbo` | 8k | Fast, low-cost |
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| `qwen-plus` | 128k | Balanced quality and speed |
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| `qwen-max` | 8k | Highest quality |
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| `qwen-long` | 1M | Ultra-long context |
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| `qwen-vl-plus` | — | Vision-language model |
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## Notes
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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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