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🆕 **[Portkey Models](https://github.com/Portkey-AI/models)** - Open-source LLM pricing for 2,300+ models across 40+ providers. [Explore →](https://portkey.ai/models) # AI Gateway #### Route to 250+ LLMs with 1 fast & friendly API Portkey AI Gateway Demo showing LLM routing capabilities [Docs](https://portkey.wiki/gh-1) | [Enterprise](https://portkey.wiki/gh-2) | [Hosted Gateway](https://portkey.wiki/gh-3) | [Changelog](https://portkey.wiki/gh-4) | [API Reference](https://portkey.wiki/gh-5) [![License](https://img.shields.io/github/license/Ileriayo/markdown-badges)](./LICENSE) [![Discord](https://img.shields.io/discord/1143393887742861333)](https://portkey.wiki/gh-6) [![Twitter](https://img.shields.io/twitter/url/https/twitter/follow/portkeyai?style=social&label=Follow%20%40PortkeyAI)](https://portkey.wiki/gh-7) [![npm version](https://badge.fury.io/js/%40portkey-ai%2Fgateway.svg)](https://portkey.wiki/gh-8) [![Better Stack Badge](https://uptime.betterstack.com/status-badges/v1/monitor/q94g.svg)](https://portkey.wiki/gh-9) Deploy to AWS EC2 [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/Portkey-AI/gateway)

The [**AI Gateway**](https://portkey.wiki/gh-10) is designed for fast, reliable & secure routing to 1600+ language, vision, audio, and image models. It is a lightweight, open-source, and enterprise-ready solution that allows you to integrate with any language model in under 2 minutes. - [x] **Blazing fast** (<1ms latency) with a tiny footprint (122kb) - [x] **Battle tested**, with over 10B tokens processed everyday - [x] **Enterprise-ready** with enhanced security, scale, and custom deployments
#### What can you do with the AI Gateway? - Integrate with any LLM in under 2 minutes - [Quickstart](#quickstart-2-mins) - Prevent downtimes through **[automatic retries](https://portkey.wiki/gh-11)** and **[fallbacks](https://portkey.wiki/gh-12)** - Scale AI apps with **[load balancing](https://portkey.wiki/gh-13)** and **[conditional routing](https://portkey.wiki/gh-14)** - Protect your AI deployments with **[guardrails](https://portkey.wiki/gh-15)** - Go beyond text with **[multi-modal capabilities](https://portkey.wiki/gh-16)** - Explore **[agentic workflow](https://portkey.wiki/gh-17)** integrations - Manage MCP servers with enterprise auth & observability using **[MCP Gateway](https://portkey.ai/docs/product/mcp-gateway)**

> [!TIP] > Starring this repo helps more developers discover the AI Gateway 🙏🏻 > > ![star-2](https://github.com/user-attachments/assets/53597dce-6333-4ecc-a154-eb05532954e4) >

## Quickstart (2 mins) ### 1. Setup your AI Gateway ```bash # Run the gateway locally (needs Node.js and npm) npx @portkey-ai/gateway ``` > The Gateway is running on `http://localhost:8787/v1` > > The Gateway Console is running on `http://localhost:8787/public/` Deployment guides:   Portkey Cloud (Recommended)   Docker   Node.js   Cloudflare   Replit   Others... ### 2. Make your first request ```python # pip install -qU portkey-ai from portkey_ai import Portkey # OpenAI compatible client client = Portkey( provider="openai", # or 'anthropic', 'bedrock', 'groq', etc Authorization="sk-***" # the provider API key ) # Make a request through your AI Gateway client.chat.completions.create( messages=[{"role": "user", "content": "What's the weather like?"}], model="gpt-4o-mini" ) ``` Supported Libraries:   [ JS](https://portkey.wiki/gh-19)   [ Python](https://portkey.wiki/gh-20)   [ REST](https://portkey.sh/gh-84)   [ OpenAI SDKs](https://portkey.wiki/gh-21)   [ Langchain](https://portkey.wiki/gh-22)   [LlamaIndex](https://portkey.wiki/gh-23)   [Autogen](https://portkey.wiki/gh-24)   [CrewAI](https://portkey.wiki/gh-25)   [More..](https://portkey.wiki/gh-26) On the Gateway Console (`http://localhost:8787/public/`) you can see all of your local logs in one place. ### 3. Routing & Guardrails `Configs` in the LLM gateway allow you to create routing rules, add reliability and setup guardrails. ```python config = { "retry": {"attempts": 5}, "output_guardrails": [{ "default.contains": {"operator": "none", "words": ["Apple"]}, "deny": True }] } # Attach the config to the client client = client.with_options(config=config) client.chat.completions.create( model="gpt-4o-mini", messages=[{"role": "user", "content": "Reply randomly with Apple or Bat"}] ) # This would always response with "Bat" as the guardrail denies all replies containing "Apple". The retry config would retry 5 times before giving up. ```
Request flow through Portkey's AI gateway with retries and guardrails
You can do a lot more stuff with configs in your AI gateway. [Jump to examples →](https://portkey.wiki/gh-27)
### Enterprise Version (Private deployments) [ AWS](https://portkey.wiki/gh-28)   [ Azure](https://portkey.wiki/gh-29)   [ GCP](https://portkey.wiki/gh-30)   [ OpenShift](https://portkey.wiki/gh-31)   [ Kubernetes](https://portkey.wiki/gh-85) The LLM Gateway's [enterprise version](https://portkey.wiki/gh-86) offers advanced capabilities for **org management**, **governance**, **security** and [more](https://portkey.wiki/gh-87) out of the box. [View Feature Comparison →](https://portkey.wiki/gh-32) The enterprise deployment architecture for supported platforms is available here - [**Enterprise Private Cloud Deployments**](https://portkey.ai/docs/self-hosting/hybrid-deployments/architecture) Book an enterprise AI gateway demo

## MCP Gateway [MCP Gateway](https://portkey.ai/docs/product/mcp-gateway) provides a centralized control plane for managing MCP (Model Context Protocol) servers across your organization. - **Authentication** — Single auth layer at the gateway. Users authenticate once; your MCP servers receive verified requests - **Access Control** — Control which teams and users can access which servers and tools. Revoke access instantly - **Observability** — Every tool call logged with full context: who called what, parameters, response, latency - **Identity Forwarding** — Forward user identity (email, team, roles) to MCP servers automatically Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. [Get started →](https://portkey.ai/docs/product/mcp-gateway/quickstart)
## Core Features ### Reliable Routing - **Fallbacks**: Fallback to another provider or model on failed requests using the LLM gateway. You can specify the errors on which to trigger the fallback. Improves reliability of your application. - **Automatic Retries**: Automatically retry failed requests up to 5 times. An exponential backoff strategy spaces out retry attempts to prevent network overload. - **Load Balancing**: Distribute LLM requests across multiple API keys or AI providers with weights to ensure high availability and optimal performance. - **Request Timeouts**: Manage unruly LLMs & latencies by setting up granular request timeouts, allowing automatic termination of requests that exceed a specified duration. - **Multi-modal LLM Gateway**: Call vision, audio (text-to-speech & speech-to-text), and image generation models from multiple providers — all using the familiar OpenAI signature - **Realtime APIs**: Call realtime APIs launched by OpenAI through the integrate websockets server. ### Security & Accuracy - **Guardrails**: Verify your LLM inputs and outputs to adhere to your specified checks. Choose from the 40+ pre-built guardrails to ensure compliance with security and accuracy standards. You can bring your own guardrails or choose from our many partners. - [**Secure Key Management**](https://portkey.wiki/gh-45): Use your own keys or generate virtual keys on the fly. - [**Role-based access control**](https://portkey.wiki/gh-46): Granular access control for your users, workspaces and API keys. - **Compliance & Data Privacy**: The AI gateway is SOC2, HIPAA, GDPR, and CCPA compliant. ### Cost Management - [**Smart caching**](https://portkey.wiki/gh-48): Cache responses from LLMs to reduce costs and improve latency. Supports simple and semantic* caching. - [**Usage analytics**](https://portkey.wiki/gh-49): Monitor and analyze your AI and LLM usage, including request volume, latency, costs and error rates. - [**Provider optimization***](https://portkey.wiki/gh-89): Automatically switch to the most cost-effective provider based on usage patterns and pricing models. ### Collaboration & Workflows - **Agents Support**: Seamlessly integrate with popular agent frameworks to build complex AI applications. The gateway seamlessly integrates with [Autogen](https://portkey.wiki/gh-50), [CrewAI](https://portkey.wiki/gh-51), [LangChain](https://portkey.wiki/gh-52), [LlamaIndex](https://portkey.wiki/gh-53), [Phidata](https://portkey.wiki/gh-54), [Control Flow](https://portkey.wiki/gh-55), and even [Custom Agents](https://portkey.wiki/gh-56). - [**Prompt Template Management***](https://portkey.wiki/gh-57): Create, manage and version your prompt templates collaboratively through a universal prompt playground.

* Available in hosted and enterprise versions
## Portkey Models Open-source LLM pricing database for 40+ providers - used by the Gateway for cost tracking. [GitHub](https://github.com/Portkey-AI/models) | [Model Explorer](https://portkey.ai/models)
## Cookbooks ### ☄️ Trending - Use models from [Nvidia NIM](/cookbook/providers/nvidia.ipynb) with AI Gateway - Monitor [CrewAI Agents](/cookbook/monitoring-agents/CrewAI_with_Telemetry.ipynb) with Portkey! - Comparing [Top 10 LMSYS Models](/cookbook/use-cases/LMSYS%20Series/comparing-top10-LMSYS-models-with-Portkey.ipynb) with AI Gateway. ### 🚨 Latest * [Create Synthetic Datasets using Nemotron](/cookbook/use-cases/Nemotron_GPT_Finetuning_Portkey.ipynb) * [Use the LLM Gateway with Vercel's AI SDK](/cookbook/integrations/vercel-ai.md) * [Monitor Llama Agents with Portkey's LLM Gateway](/cookbook/monitoring-agents/Llama_Agents_with_Telemetry.ipynb) [View all cookbooks →](https://portkey.wiki/gh-58)

## Supported Providers Explore Gateway integrations with [45+ providers](https://portkey.wiki/gh-59) and [8+ agent frameworks](https://portkey.wiki/gh-90). | | Provider | Support | Stream | | -------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- | ------- | ------ | | | [OpenAI](https://portkey.wiki/gh-60) | ✅ | ✅ | | | [Azure OpenAI](https://portkey.wiki/gh-61) | ✅ | ✅ | | | [Anyscale](https://portkey.wiki/gh-62) | ✅ | ✅ | | | [Google Gemini](https://portkey.wiki/gh-63) | ✅ | ✅ | | | [Anthropic](https://portkey.wiki/gh-64) | ✅ | ✅ | | | [Cohere](https://portkey.wiki/gh-65) | ✅ | ✅ | | | [Together AI](https://portkey.wiki/gh-66) | ✅ | ✅ | | | [Perplexity](https://portkey.wiki/gh-67) | ✅ | ✅ | | | [Mistral](https://portkey.wiki/gh-68) | ✅ | ✅ | | | [Nomic](https://portkey.wiki/gh-69) | ✅ | ✅ | | | [AI21](https://portkey.wiki/gh-91) | ✅ | ✅ | | | [Stability AI](https://portkey.wiki/gh-71) | ✅ | ✅ | | | [DeepInfra](https://portkey.sh/gh-92) | ✅ | ✅ | | | [Ollama](https://portkey.wiki/gh-72) | ✅ | ✅ | | | [Novita AI](https://portkey.wiki/gh-73) | ✅ | ✅ | `/chat/completions`, `/completions` | > [View the complete list of 200+ supported models here](https://portkey.wiki/gh-74)

## Agents Gateway seamlessly integrates with popular agent frameworks. [Read the documentation here](https://portkey.wiki/gh-75). | Framework | Call 200+ LLMs | Advanced Routing | Caching | Logging & Tracing* | Observability* | Prompt Management* | |------------------------------|--------|-------------|---------|------|---------------|-------------------| | [Autogen](https://portkey.wiki/gh-93) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [CrewAI](https://portkey.wiki/gh-94) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [LangChain](https://portkey.wiki/gh-95) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Phidata](https://portkey.wiki/gh-96) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Llama Index](https://portkey.wiki/gh-97) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Control Flow](https://portkey.wiki/gh-98) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Build Your Own Agents](https://portkey.wiki/gh-99) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | [IO Intelligence](https://io.net/intelligence) | ✅ | ✅ |
*Available on the [hosted app](https://portkey.wiki/gh-76). For detailed documentation [click here](https://portkey.wiki/gh-100). ## Gateway Enterprise Version Make your AI app more reliable and forward compatible, while ensuring complete data security and privacy. ✅  Secure Key Management - for role-based access control and tracking
✅  Simple & Semantic Caching - to serve repeat queries faster & save costs
✅  Access Control & Inbound Rules - to control which IPs and Geos can connect to your deployments
✅  PII Redaction - to automatically remove sensitive data from your requests to prevent indavertent exposure
✅  SOC2, ISO, HIPAA, GDPR Compliances - for best security practices
✅  Professional Support - along with feature prioritization
[Schedule a call to discuss enterprise deployments](https://portkey.sh/demo-13)
## Contributing The easiest way to contribute is to pick an issue with the `good first issue` tag 💪. Read the contribution guidelines [here](/.github/CONTRIBUTING.md). Bug Report? [File here](https://portkey.wiki/gh-78) | Feature Request? [File here](https://portkey.wiki/gh-78) ### Getting Started with the Community Join our weekly AI Engineering Hours every Friday (8 AM PT) to: - Meet other contributors and community members - Learn advanced Gateway features and implementation patterns - Share your experiences and get help - Stay updated with the latest development priorities [Join the next session →](https://portkey.wiki/gh-101) | [Meeting notes](https://portkey.wiki/gh-102)
## Community Join our growing community around the world, for help, ideas, and discussions on AI. - View our official [Blog](https://portkey.wiki/gh-78) - Chat with us on [Discord](https://portkey.wiki/community) - Follow us on [Twitter](https://portkey.wiki/gh-79) - Connect with us on [LinkedIn](https://portkey.wiki/gh-80) - Read the documentation in [Japanese](./.github/README.jp.md) - Visit us on [YouTube](https://portkey.wiki/gh-103) - Join our [Dev community](https://portkey.wiki/gh-82) ![Rubeus Social Share (4)](https://github.com/Portkey-AI/gateway/assets/971978/89d6f0af-a95d-4402-b451-14764c40d03f)