Matt Toohey
d9573deb4f
Choose the Databricks Responses protocol after building the payload so routing sees the actual function tool representation. Route GPT-5.5 aliases with tools to native Responses because Databricks Chat Completions treats that combination as a reasoning_effort request even when Goose omits an explicit effort. Add regression coverage for goose-gpt-5-5, compass-openai-gpt-5-5, databricks-gpt-5-5, and the explicit reasoning effort path while preserving the GPT-5.4 compatibility path. Signed-off-by: Matt Toohey <contact@matttoohey.com>
🦆 goose has moved! This project has moved from
block/gooseto the Agentic AI Foundation (AAIF) at the Linux Foundation. Some links and references are still being updated — please bear with us during the transition.
goose
your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between
goose is a general-purpose AI agent that runs on your machine. Not just for code — use it for research, writing, automation, data analysis, or anything you need to get done.
A native desktop app for macOS, Linux, and Windows. A full CLI for terminal workflows. An API to embed it anywhere. Built in Rust for performance and portability.
goose works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more. Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via ACP. Connect to 70+ extensions via the Model Context Protocol open standard.
goose is part of the Agentic AI Foundation (AAIF) at the Linux Foundation.
Get started
Download the desktop app for macOS, Linux, and Windows.
Or install the CLI:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash
Quick links
- Quickstart
- Installation
- Tutorials
- Documentation
- Governance
- Custom Distributions — build your own goose distro with preconfigured providers, extensions, and branding
Need help?
a little goose humor 🪿
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀