Local proxy for Anthropic API compatible with Kiro (Amazon Q)

A local proxy server that relays Anthropic Messages API-compatible requests to the Kiro (Amazon Q) backend using Kiro CLI credentials.

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Local Proxy for Anthropic API (Kiro Compatible)

This tool provides a local proxy server designed to bridge your applications with the Kiro (Amazon Q) backend, specifically for Anthropic Messages API-compatible requests. It allows developers to leverage the Kiro CLI credentials to interact with the Amazon Q service as if they were using the Anthropic API. This is particularly useful for testing, development, and integration scenarios where direct Anthropic API access might be complex or unavailable.

What it Does

The local proxy intercepts requests intended for the Anthropic Messages API. Instead of sending these requests to Anthropic's servers, it translates and forwards them to the Kiro (Amazon Q) backend. This translation process ensures that the Kiro service can understand and process the requests, returning responses that are compatible with the Anthropic API format. This enables you to use existing Anthropic API client libraries and codebases with the Kiro service.

Key Features

Anthropic Messages API Compatibility: Mimics the Anthropic Messages API for seamless integration.
Kiro (Amazon Q) Backend Integration: Utilizes Kiro CLI credentials for authentication and communication.
Local Development Environment: Facilitates local testing and development without direct cloud API calls.
Request Translation: Handles the necessary transformations for Kiro to process Anthropic-like requests.
Open Source: Available on GitHub for transparency and community contributions.

Who it's For

This tool is intended for AI developers and ML engineers who are working with large language models and need to integrate with or test against the Kiro (Amazon Q) service. It's ideal for individuals or teams who want to develop applications using an Anthropic API-like interface but deploy or test against Amazon's generative AI offerings. Developers looking for a local testing solution for their AI applications that interact with LLM backends will find this proxy invaluable.