LLM Gateway is an open-source API gateway for Large Language Models (LLMs). It acts as a middleware between your applications and various LLM providers, allowing you to:

• Route requests to multiple LLM providers (OpenAI, Anthropic, Google Vertex AI, and others)
• Manage API keys for different providers in one place
• Track token usage and costs across all your LLM interactions
• Analyze performance metrics to optimize your LLM usage

• Unified API Interface: Compatible with the OpenAI API format for seamless migration
• Usage Analytics: Track requests, tokens used, response times, and costs
• Multi-provider Support: Connect to various LLM providers through a single gateway
• Performance Monitoring: Compare different models' performance and cost-effectiveness

You can use LLM Gateway in two ways:

• Hosted Version: For immediate use without setup, visit llmgateway.io to create an account and get an API key.
• Self-Hosted: Deploy LLM Gateway on your own infrastructure for complete control over your data and configuration.

Use Docker-managed volumes for the unified image. Do not bind-mount a host directory directly to /var/lib/postgresql/data, because PostgreSQL initialization inside the container needs to set permissions on that directory and that can fail depending on the host filesystem and ownership.

export LLM_GATEWAY_SECRET="$(openssl rand -base64 32 | tr -d '\n')"
export GATEWAY_API_KEY_HASH_SECRET="$(openssl rand -base64 32 | tr -d '\n')"
./scripts/run-unified-container.sh

If you prefer a one-off docker run, use named volumes instead of ~/some-host-dir:

docker volume create llmgateway_postgres
docker volume create llmgateway_redis

docker run -d \
  --name llmgateway \
  --restart unless-stopped \
  -p 3002:3002 \
  -p 3003:3003 \
  -p 3005:3005 \
  -p 3006:3006 \
  -p 3007:3007 \
  -p 4001:4001 \
  -p 4002:4002 \
  -v llmgateway_postgres:/var/lib/postgresql/data \
  -v llmgateway_redis:/var/lib/redis \
  -e AUTH_SECRET=