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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>
78 lines
2.1 KiB
Markdown
78 lines
2.1 KiB
Markdown
# Hyperbolic
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Affordable GPU inference platform supporting large open-source models including vision-capable variants.
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**LiteLLM prefix:** `hyperbolic/`
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**Status:** Stub — routes through OpenAI-compatible client
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**Docs:** https://docs.hyperbolic.xyz
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## Authentication
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| Variable | Required | Description |
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|---|---|---|
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| `HYPERBOLIC_API_KEY` | Yes | API key from app.hyperbolic.xyz |
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## Quick Start
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### Single-Backend (env vars)
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```bash
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BACKEND=hyperbolic HYPERBOLIC_API_KEY=your-key cargo run -p anyllm_proxy
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# Docker:
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docker run -e BACKEND=hyperbolic -e HYPERBOLIC_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: qwen2.5-72b
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litellm_params:
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model: hyperbolic/Qwen/Qwen2.5-72B-Instruct
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api_key: "env:HYPERBOLIC_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 "x-api-key: $PROXY_API_KEYS" \
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-H "Content-Type: application/json" \
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-d '{"model": "Qwen/Qwen2.5-72B-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 "Authorization: Bearer $PROXY_API_KEYS" \
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-H "Content-Type: application/json" \
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-d '{"model": "Qwen/Qwen2.5-72B-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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## Notable Models
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| Model ID | Context | Notes |
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| `Qwen/Qwen2.5-72B-Instruct` | 128k | Strong general-purpose model |
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| `meta-llama/Meta-Llama-3.1-405B-Instruct` | 128k | Largest Llama 3.1 |
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| `deepseek-ai/DeepSeek-V3` | 128k | DeepSeek V3 |
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| `meta-llama/Llama-3.2-90B-Vision-Instruct` | 128k | Vision-capable Llama 3.2 |
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## Notes
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Model IDs use the HuggingFace `org/model-name` format. Vision support is model-dependent; not all models listed accept image inputs. Check https://app.hyperbolic.xyz/models for the current catalog and pricing.
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