GoModel is the fastest and the most resource-efficient AI Gateway (the self-reproducible benchmarks). It's an alternative to LiteLLM (which was hacked recently) and Portkey (which is no longer maintained on GitHub).
(click on the animation ↑ to see the live demo)
GoModel saves you money and nerves.
Money - because you can remember the responses on this layer (caching), track your spending and do tricks like prompt compression and intelligent routing.
Nerves - because we strive to achieve good quality and reliability. Our ambition is to be the last AI gateway you will need - the most reliable, resource-optimal, feature-rich and fast.
Step 1: Install and start GoModel
macOS / Linux
curl -fsSL https://gomodel.enterpilot.io/install.sh | sh
# OPENAI_API_KEY="your-openai-key" # (optional)
gomodelWindows (PowerShell)
irm https://gomodel.enterpilot.io/install.ps1 | iex
# $env:OPENAI_API_KEY = "your-openai-key" # (optional)
gomodelDocker
docker run --rm -p 8080:8080 \
-e OPENAI_API_KEY="your-openai-key" \
enterpilot/gomodelℹ️ Configure GoModel with .env, a config.yaml file, or manage the most important settings directly in the dashboard.
ℹ️ See .env.template for the complete list of environment variables, including all available providers.
Step 2: Open the dashboard
http://localhost:8080/admin/dashboard
Step 3: Make an API call
curl http://localhost:8080/v1/responses \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-chat-latest",
"input": "Hello!"
}'GoModel accepts requests in two compatible formats:
- OpenAI-compatible at
/v1 - Anthropic-compatible at
/v1/messages
The official SDKs therefore work unchanged. Configure their base URLs as follows:
- OpenAI SDK:
http://localhost:8080/v1 - Anthropic SDK:
http://localhost:8080(the SDK appends/v1/messages)
- OpenAI
- Anthropic
- xAI (Grok)
- Google Gemini
- Cohere
- Vertex AI
- DeepSeek
- Groq
- Fireworks AI
- Meta (Muse Spark)
- OpenRouter
- Z.ai
- Alibaba Cloud Model Studio (Bailian)
- Kilo AI
- MiniMax
- Xiaomi MiMo
- OpenCode Go
- Azure OpenAI
- Oracle
- Ollama
- SGLang
- vLLM
- llm-d
- Amazon Bedrock Runtime and Bedrock Mantle
- ChatGPT (the Codex backend) and Claude
- ElevenLabs (text-to-speech and speech-to-text)
- All OpenAI-compatible providers
See the Providers Overview for the full per-provider feature matrix.
Infrastructure only (Redis, PostgreSQL, MongoDB, Adminer - no image build):
cp .env.template .env
# Add your API keys to .env
docker compose up -d
# or: make infraFull stack (adds GoModel + Prometheus; builds the app image):
docker compose --profile app up -d
# or: make imageGoModel resolves configuration in the following order, with each source overriding those to its left:
Good defaults → config.yaml → .env → exported environment variables
See the Configuration reference for the full list of settings.
- Caching - exact and semantic response caching, so repeated prompts cost nothing
- Cost tracking - per-request cost estimates, usage analytics, and spending breakdowns in the dashboard
- Budgets - hard spend limits per user, team, or key
- Rate limits - requests, tokens, and concurrency caps per user path, provider, or model
- Virtual models - aliases and load balancing (round-robin or cost-based) behind stable model names
- Failover - automatic rerouting to backup providers, with retries and circuit breakers
- Labelling - tag requests from HTTP headers or API keys and break down usage by label
- User paths - hierarchical scoping of keys, model access, budgets, usage, and audit logs
- MCP gateway - aggregate your MCP servers behind one authenticated endpoint
- Passthrough API - provider-native APIs under
/p/{provider}/..., with GoModel auth and tracking - Guardrails - request and response policies enforced at the gateway
- Provider key rotation - round-robin over multiple API keys to lift per-key rate limits
- Observability - Prometheus metrics, OpenTelemetry traces, audit logs, and live request streaming in the dashboard
See the roadmap for GoModel Pro and the upcoming 0.2.0 release.
We are on Discord. Feel free to stop by and tell us what you think about GoModel.
