Files
anyllm-proxy/docs/providers/github.md
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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# GitHub Models
Azure-hosted OpenAI-compatible inference endpoint accessible with a GitHub personal access token, free tier included.
**LiteLLM prefix:** `github/`
**Status:** Stub — routes through OpenAI-compatible client
**Docs:** https://docs.github.com/en/github-models
## Authentication
| Variable | Required | Description |
|---|---|---|
| `GITHUB_TOKEN` | Yes | GitHub personal access token (PAT) with no special scopes required |
## Quick Start
### Single-Backend (env vars)
```bash
BACKEND=github GITHUB_TOKEN=your-pat cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=github -e GITHUB_TOKEN=your-pat -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy
```
### LiteLLM YAML Config
```yaml
model_list:
- model_name: gpt-4o
litellm_params:
model: github/gpt-4o
api_key: "env:GITHUB_TOKEN"
- model_name: llama-3.3-70b
litellm_params:
model: github/Llama-3.3-70B-Instruct
api_key: "env:GITHUB_TOKEN"
```
## Usage Examples
### Anthropic Messages API
```bash
curl http://localhost:3000/v1/messages \
-H "x-api-key: $PROXY_API_KEYS" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4o", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'
```
### OpenAI Chat Completions API
```bash
curl http://localhost:3000/v1/chat/completions \
-H "Authorization: Bearer $PROXY_API_KEYS" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}'
```
## Capabilities
| Feature | Supported |
|---|---|
| Chat Completions | ✓ |
| Streaming | ✓ |
| Tool Use | ✓ |
| Embeddings | ✓ |
| Vision | ✓ |
| Batch | — |
## Notable Models
| Model ID | Context | Notes |
|---|---|---|
| `gpt-4o` | 128k | OpenAI GPT-4o |
| `gpt-4o-mini` | 128k | OpenAI GPT-4o Mini, low-cost |
| `Llama-3.3-70B-Instruct` | 128k | Meta Llama 3.3 70B |
| `Phi-4` | 16k | Microsoft Phi-4 |
| `Mistral-Nemo` | 128k | Mistral Nemo |
| `text-embedding-3-small` | — | OpenAI embedding model |
## Notes
GitHub Models is backed by Azure AI and uses the endpoint `https://models.inference.ai.azure.com`. A standard GitHub PAT (classic or fine-grained) with no additional scopes is sufficient. The free tier has strict rate limits: check https://docs.github.com/en/github-models/prototyping-with-ai-models#rate-limits for current limits. Not intended for production traffic.