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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>
69 lines
1.8 KiB
Markdown
69 lines
1.8 KiB
Markdown
# Gradient AI
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Fine-tuning and inference platform for open-weight models.
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**LiteLLM prefix:** `gradient_ai/`
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**Status:** Stub — routes through OpenAI-compatible client
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**Docs:** https://docs.gradient.ai
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## Authentication
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| Variable | Required | Description |
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|---|---|---|
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| `GRADIENT_ACCESS_TOKEN` | Yes | Access token from gradient.ai |
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## Quick Start
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### Single-Backend (env vars)
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```bash
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BACKEND=gradient_ai GRADIENT_ACCESS_TOKEN=your-token cargo run -p anyllm_proxy
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# Docker:
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docker run -e BACKEND=gradient_ai -e GRADIENT_ACCESS_TOKEN=your-token -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: llama3-gradient
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litellm_params:
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model: gradient_ai/llama3-8b-instruct
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api_key: "env:GRADIENT_ACCESS_TOKEN"
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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": "llama3-8b-instruct", "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": "llama3-8b-instruct", "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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## Notes
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Gradient AI supports both hosted inference and model fine-tuning. Obtain an access token at gradient.ai. Tool use is not supported. Available models include fine-tuned variants alongside base open-weight models; check the Gradient console for your deployed model IDs.
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