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Kiro Gateway

Kiro Gateway is a Python-based proxy API server that connects compatible AI clients to the Kiro API used with Kiro IDE and CLI, Amazon Q Developer, and AWS CodeWhisperer.

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Independent OpenViST project profile, based on linked sources.

Kiro Gateway — OpenViST project profile in AI APIs & Platforms.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI client supports OpenAI- or Anthropic-compatible APIs and you want to route its requests through a server authenticated to Kiro.

Who it is for

  • Developers who want compatible AI tools or libraries to send requests through a Kiro-backed API endpoint.
  • People able to provide Kiro credentials and operate a Python server.

Documented uses

  • Route client requests to model services available through Kiro.
  • Connect OpenAI-compatible tools through an OpenAI-compatible API or use the Anthropic-compatible messages interface.
  • Use gateway features such as streaming, image input, tool calling, web search, and conversation-history forwarding.
Before you choose

Requirements & limits

The repository is public and identifies its license as AGPL-3.0. The gateway requires Kiro IDE credentials or Kiro CLI/AWS SSO credentials; model availability depends on the user's Kiro tier.

  • Requires Python 3.10+ and local server setup; the README also describes Docker as a deployment option.
  • Supports both OpenAI-compatible API requests and an Anthropic-compatible /v1/messages interface.
  • The gateway's model list is not a guarantee of access: available models depend on the Kiro account tier and the user's IDE or CLI.
  • The README describes multi-account failover and HTTP/SOCKS5 proxy support alongside features such as streaming and tool calling. The excerpt does not provide their configuration steps.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and configure Kiro Gateway

Prepare a local Kiro Gateway server with credentials and a proxy API key.

Before you start

  • Python 3.10 or later
  • Git, or a downloaded and extracted repository archive
  • A logged-in Kiro IDE account, or Kiro CLI/AWS SSO credentials
  • A proxy API key of your choosing

Steps

  1. Clone the repository and enter its directory, or download and extract the ZIP archive.

  2. Install dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  3. Copy .env.example to .env and configure credentials using a credentials-file path, a refresh token, or the documented AWS SSO option; set PROXY_API_KEY.

  4. Start the server with the command below; the README also documents the command below for a custom port.

    Documented command
    python main.py
    Documented command
    python main.py --port 9000

Expected outcome

The README says the server is available locally at `http://localhost:8000` with the default port.

Guide limitations

  • This covers setup and server startup, not a request from a client application.
  • Model availability depends on the Kiro account tier and the models available in the user's IDE or CLI.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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11 October 2026
Original website title
jwadow/kiro-gateway · Official homepage title · retained in its source language
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