This action enables the use of AI models within GitHub Actions workflows, allowing developers to integrate AI-powered tasks directly into their CI/CD pipelines. It targets developers and teams looking to automate tasks like code summarization, text generation, or data analysis using AI models hosted on GitHub Models.

How It Works

The action leverages a YAML-based configuration for prompts, supporting both simple text and structured .prompt.yml files. These structured files allow for templating, custom model selection, and JSON schema-based response formatting. It integrates with GitHub's Model Context Protocol (MCP) to grant AI models access to GitHub tools for repository management and issue tracking.

Quick Start & Requirements

• Primary install/run command: uses: actions/ai-inference@v1
• Prerequisites: permissions: models: read
• For MCP integration: enable-github-mcp: true and potentially token and github-mcp-token (e.g., secrets.USER_PAT).
• Documentation: GitHub Models

Highlighted Details

• Supports templating and JSON schema responses via .prompt.yml files.
• Integrates with GitHub's Model Context Protocol (MCP) for tool access.
• Can read responses from files for outputs exceeding action limits.
• Includes a script/release helper for managing GitHub Actions releases.

Maintenance & Community

• Contributions are welcome via the Contributor's Guide.
• Versioning follows GitHub Actions best practices.

Licensing & Compatibility

• License: MIT
• Compatible with commercial use and closed-source linking.

Limitations & Caveats

The action requires specific models: read permissions for GitHub Models. While it supports large responses via response-file, the default max-tokens is 200, which may require explicit configuration for more extensive outputs.