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pulls](https://img.shields.io/docker/pulls/helicone/ai-gateway?style=for-the-badge)](https://hub.docker.com/r/helicone/ai-gateway)\n[![License](https://img.shields.io/badge/license-APACHE-green?style=for-the-badge)](LICENSE)\n[![Public Beta](https://img.shields.io/badge/status-Public%20Beta-orange?style=for-the-badge)](https://github.com/helicone/ai-gateway)\n\n**The fastest, lightest, and easiest-to-integrate AI Gateway on the market.**\n\n_Built by the team at [Helicone](https://helicone.ai), open-sourced for the community._\n\n[🚀 Quick Start](https://docs.helicone.ai/ai-gateway/quickstart) • [📖 Docs](https://docs.helicone.ai/ai-gateway/introduction) • [💬 Discord](https://discord.gg/7aSCGCGUeu) • [🌐 Website](https://helicone.ai)\n\n---\n\n### 🚆 1 API. 100+ models.\n\n**Open-source, lightweight, and built on Rust.**\n\nHandle hundreds of models and millions of LLM requests with minimal latency and maximum reliability.\n\nThe NGINX of LLMs.\n\n---\n\n## 👩🏻‍💻 Set up in seconds\n\n1. Set up your `.env` file with your `PROVIDER_API_KEY`s\n\n```bash\nOPENAI_API_KEY=your_openai_key\nANTHROPIC_API_KEY=your_anthropic_key\n```\n\n2. Run locally in your terminal\n\n```bash\nnpx @helicone/ai-gateway@latest\n```\n\n3. Make your requests using any OpenAI SDK:\n\n```python\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=\"http://localhost:8080/ai\",\n    api_key=\"placeholder-api-key\" # Gateway handles API keys\n)\n\n# Route to any LLM provider through the same interface, we handle the rest.\nresponse = client.chat.completions.create(\n    model=\"anthropic/claude-3-5-sonnet\",  # Or other 100+ models..\n    messages=[{\"role\": \"user\", \"content\": \"Hello from Helicone AI Gateway!\"}]\n)\n```\n\n**That's it.** No new SDKs to learn, no integrations to maintain. Fully-featured and open-sourced.\n\n_-- For advanced config, check out our [configuration guide](https://docs.helicone.ai/ai-gateway/config) and the [providers we support](https://github.com/Helicone/ai-gateway/blob/main/ai-gateway/config/embedded/providers.yaml)._\n\n---\n\n## Why Helicone AI Gateway?\n\n#### 🌐 **Unified interface**\n\nRequest **any LLM provider** using familiar OpenAI syntax. Stop rewriting integrations—use one API for OpenAI, Anthropic, Google, AWS Bedrock, and [20+ more providers](https://docs.helicone.ai/ai-gateway/providers).\n\n#### ⚡ **Smart provider selection**\n\n**Load balance** to always hit the fastest, cheapest, or most reliable option. Built-in strategies include latency-based P2C + PeakEWMA, weighted distribution, and cost optimization. Always aware of provider uptime and rate limits.\n\n#### 💰 **Control your spending**\n\n**Rate limit** to prevent runaway costs and usage abuse. Set limits per user, team, or globally with support for request counts, token usage, and dollar amounts.\n\n#### 🚀 **Improve performance**\n\n**Cache responses** to reduce costs and latency by up to 95%. Supports Redis and S3 backends with intelligent cache invalidation.\n\n#### 📊 **Simplified tracing**\n\nMonitor performance and debug issues with built-in Helicone integration, plus OpenTelemetry support for **logs, metrics, and traces**.\n\n#### ☁️ **One-click deployment**\n\nDeploy in seconds to your own infrastructure by using our **Docker** or **binary** download following our [deployment guides](https://docs.helicone.ai/ai-gateway/deployment/overview).\n\nhttps://github.com/user-attachments/assets/ed3a9bbe-1c4a-47c8-98ec-2bb4ff16be1f\n\n---\n\n## ⚡ Scalable for production\n\n| Metric           | Helicone AI Gateway | Typical Setup |\n| ---------------- | ------------------- | ------------- |\n| **P95 Latency**  | <10ms               | ~60-100ms     |\n| **Memory Usage** | ~64MB               | ~512MB        |\n| **Requests/sec** | ~2,000              | ~500          |\n| **Binary Size**  | ~15MB               | ~200MB        |\n| **Cold Start**   | ~100ms              | ~2s           |\n\n_Note: These are preliminary performance metrics. See [benchmarks/README.md](benchmarks/README.md) for detailed benchmarking methodology and results._\n\n---\n\n## 🎥 Demo\n\nhttps://github.com/user-attachments/assets/dd6b6df1-0f5c-43d4-93b6-3cc751efb5e1\n\n---\n\n## 🏗️ How it works\n\n```\n┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐\n│   Your App      │───▶│ Helicone AI     │───▶│  LLM Providers  │\n│                 │    │ Gateway         │    │                 │\n│ OpenAI SDK      │    │                 │    │ • OpenAI        │\n│ (any language)  │    │ • Load Balance  │    │ • Anthropic     │\n│                 │    │ • Rate Limit    │    │ • AWS Bedrock   │\n│                 │    │ • Cache         │    │ • Google Vertex │\n│                 │    │ • Trace         │    │ • 20+ more      │\n│                 │    │ • Fallbacks     │    │                 │\n└─────────────────┘    └─────────────────┘    └─────────────────┘\n                               │\n                               ▼\n                      ┌─────────────────┐\n                      │ Helicone        │\n                      │ Observability   │\n                      │                 │\n                      │ • Dashboard     │\n                      │ • Observability │\n                      │ • Monitoring    │\n                      │ • Debugging     │\n                      └─────────────────┘\n```\n\n---\n\n## ⚙️ Custom configuration\n\n### 1. Set up your environment variables\n\nInclude your `PROVIDER_API_KEY`s in your `.env` file.\n\n```bash\nOPENAI_API_KEY=sk-...\nANTHROPIC_API_KEY=sk-ant-...\nHELICONE_API_KEY=sk-...\n```\n\n### 2. Customize your config file\n\n_Note: This is a sample `config.yaml` file. Please refer to our [configuration guide](https://docs.helicone.ai/ai-gateway/config) for the full list of options, examples, and defaults._\n_See our [full provider list here.](https://github.com/Helicone/ai-gateway/blob/main/ai-gateway/config/embedded/providers.yaml)_\n\n```yaml\nhelicone: # Include your HELICONE_API_KEY in your .env file\n  features: all\n\ncache-store:\n  in-memory: {}\n\nglobal: # Global settings for all routers\n  cache:\n    directive: \"max-age=3600, max-stale=1800\"\n\nrouters:\n  your-router-name: # Single router configuration\n    load-balance:\n      chat:\n        strategy: latency\n        targets:\n          - openai\n          - anthropic\n    rate-limit:\n      per-api-key:\n        capacity: 1000\n        refill-frequency: 1m # 1000 requests per minute\n```\n\n### 3. Run with your custom configuration\n\n```bash\nnpx @helicone/ai-gateway@latest --config config.yaml\n```\n\n### 4. Make your requests\n\n```python\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=\"http://localhost:8080/router/your-router-name\",\n    api_key=\"placeholder-api-key\" # Gateway handles API keys\n)\n\n# Route to any LLM provider through the same interface, we handle the rest.\nresponse = client.chat.completions.create(\n    model=\"anthropic/claude-3-5-sonnet\",  # Or other 100+ models..\n    messages=[{\"role\": \"user\", \"content\": \"Hello from Helicone AI Gateway!\"}]\n)\n```\n\n---\n\n## 📚 Migration guide\n\n### From OpenAI (Python)\n\n```diff\nfrom openai import OpenAI\n\nclient = OpenAI(\n-   api_key=os.getenv(\"OPENAI_API_KEY\")\n+   api_key=\"placeholder-api-key\" # Gateway handles API keys\n+   base_url=\"http://localhost:8080/router/your-router-name\"\n)\n\n# No other changes needed!\nresponse = client.chat.completions.create(\n    model=\"openai/gpt-4o\",\n    messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n)\n```\n\n### From OpenAI (TypeScript)\n\n```diff typescript\nimport { OpenAI } from \"openai\";\n\nconst client = new OpenAI({\n-   apiKey: os.getenv(\"OPENAI_API_KEY\")\n+   apiKey: \"placeholder-api-key\", // Gateway handles API keys\n+   baseURL: \"http://localhost:8080/router/your-router-name\",\n});\n\nconst response = await client.chat.completions.create({\n  model: \"openai/gpt-4o\",\n  messages: [{ role: \"user\", content: \"Hello from Helicone AI Gateway!\" }],\n});\n```\n\n\n---\n\n## 📚 Resources\n\n### Documentation\n\n- 📖 **[Full Documentation](https://docs.helicone.ai/ai-gateway/introduction)** - Complete guides and API reference\n- 🚀 **[Quickstart Guide](https://docs.helicone.ai/ai-gateway/quickstart)** - Get up and running in 1 minute\n- 🔬 **[Advanced Configurations](https://docs.helicone.ai/ai-gateway/config)** - Configuration reference & examples\n\n### Community\n\n- 💬 **[Discord Server](https://discord.gg/7aSCGCGUeu)** - Our community of passionate AI engineers\n- 🐙 **[GitHub Discussions](https://github.com/helicone/ai-gateway/discussions)** - Q&A and feature requests\n- 🐦 **[Twitter](https://twitter.com/helicone_ai)** - Latest updates and announcements\n- 📧 **[Newsletter](https://helicone.ai/email-signup)** - Tips and tricks to deploying AI applications\n\n### Support\n\n- 🎫 **[Report bugs](https://github.com/helicone/ai-gateway/issues)**: Github issues\n- 💼 **[Enterprise Support](https://cal.com/team/helicone/helicone-discovery)**: Book a discovery call with our team\n\n---\n\n## 📄 License\n\nThe Helicone AI Gateway is licensed under the [Apache License](LICENSE) - see the file for details.\n\n---\n\n**Made with ❤️ by [Helicone](https://helicone.ai).**\n\n[Website](https://helicone.ai) • [Docs](https://docs.helicone.ai/ai-gateway/introduction) • [Twitter](https://twitter.com/helicone_ai) • [Discord](https://discord.gg/7aSCGCGUeu)\n","readmeFilename":"README.md"}