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Agent Router (formerly Envoy AI Gateway)
The open source AI gateway and MCP gateway built on Envoy and Envoy Gateway. An Agentic AI Foundation project. Agent Router controls; Envoy carries.
- Authority
- 50 reach 5 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://theagentrouter.ai/llms.txt
- llms-full.txt
- https://theagentrouter.ai/llms-full.txt
- Sections
- 9
- Links
- 66
- Size
- 15568 bytes
- Popularity rank
- #927261
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:10:05.734Z
- Last checked
- 2026-10-26T08:46:42.513Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T08:46:40.094Z. Cached copy · Source on theagentrouter.ai
# Agent Router (formerly Envoy AI Gateway)
> The open source AI gateway and MCP gateway built on Envoy and Envoy Gateway. An Agentic AI Foundation project. Agent Router controls; Envoy carries.
Agent Router gives application teams one OpenAI-compatible API for every model and MCP tool, and platform teams one place to enforce credentials, routing, quotas, failover and usage attribution. Repository: https://github.com/theagentrouter/agent-router · License: Apache-2.0
## Home
- [Home](https://theagentrouter.ai/docs/): Welcome to the Agent Router documentation!
## Getting Started
- [Getting Started](https://theagentrouter.ai/docs/getting-started/): Agent Router runs two ways.
- [Prerequisites](https://theagentrouter.ai/docs/getting-started/prerequisites): Before you begin using Agent Router, you'll need to ensure you have the following prerequisites in place.
- [Installation](https://theagentrouter.ai/docs/getting-started/installation): This guide will walk you through installing Agent Router and its required components.
- [Basic Usage](https://theagentrouter.ai/docs/getting-started/basic-usage): This guide will help you set up a basic AI Gateway configuration and make your first request.
- [Connect Providers](https://theagentrouter.ai/docs/getting-started/connect-providers/): After setting up the basic AI Gateway with the mock backend, you can configure it to work with real AI model providers.
- [Connect OpenAI](https://theagentrouter.ai/docs/getting-started/connect-providers/openai): This guide will help you configure Agent Router to work with OpenAI's models.
- [Connect AWS Bedrock](https://theagentrouter.ai/docs/getting-started/connect-providers/aws-bedrock): This guide will help you configure Agent Router to work with AWS Bedrock's foundation models, including Llama, Anthropic Claude, and other models available on AWS Bedrock.
- [Connect Azure OpenAI](https://theagentrouter.ai/docs/getting-started/connect-providers/azure-openai): This guide will help you configure Agent Router to work with Azure OpenAI's foundation models.
- [Connect GCP VertexAI](https://theagentrouter.ai/docs/getting-started/connect-providers/gcp-vertexai): This guide will help you configure Agent Router to work with GCP VertexAI's Gemini and Anthropic models.
- [Connect Tetrate Agent Router Service (TARS)](https://theagentrouter.ai/docs/getting-started/connect-providers/tars): This guide will help you configure Agent Router to work with Tetrate Agent Router Service (TARS)'s models.
- [Connect Anthropic](https://theagentrouter.ai/docs/getting-started/connect-providers/anthropic): This guide will help you configure Agent Router to work with Anthropic's models.
- [Connect Bitdeer AI](https://theagentrouter.ai/docs/getting-started/connect-providers/bitdeer): This guide will help you configure Agent Router to work with Bitdeer AI's serverless models through its OpenAI-compatible API.
## Agent Router CLI
- [Agent Router CLI](https://theagentrouter.ai/docs/cli/): The Agent R
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