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AI Inference in GitHub Actions

GitHub Super-Linter CI Check dist/ CodeQL Coverage

Use AI models from GitHub Models in your actions.

Usage

Create a workflow to use the AI inference action:

name: 'AI inference'
on: workflow_dispatch

jobs:
  inference:
    permissions:
      models: read
    runs-on: ubuntu-latest
    steps:
      - name: Test Local Action
        id: inference
        uses: actions/ai-inference@v1
        with:
          prompt: 'Hello!'

      - name: Print Output
        id: output
        run: echo "${{ steps.inference.outputs.response }}"

Inputs

Various inputs are defined in action.yml to let you configure the action:

Name Description Default
token Token to use for inference. Typically the GITHUB_TOKEN secret github.token
prompt The prompt to send to the model N/A
system-prompt The system prompt to send to the model ""
model The model to use for inference. Must be available in the GitHub Models catalog gpt-4o
endpoint The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint https://models.github.ai/inference
max-tokens The max number of tokens to generate 200

Outputs

The AI inference action provides the following outputs:

Name Description
response The response from the model

Required Permissions

In order to run inference with GitHub Models, the GitHub AI inference action requires models permissions.

permissions:
  contents: read
  models: read

Publishing a New Release

This project includes a helper script, script/release designed to streamline the process of tagging and pushing new releases for GitHub Actions. For more information, see Versioning in the GitHub Actions toolkit.

GitHub Actions allows users to select a specific version of the action to use, based on release tags. This script simplifies this process by performing the following steps:

  1. Retrieving the latest release tag: The script starts by fetching the most recent SemVer release tag of the current branch, by looking at the local data available in your repository.
  2. Prompting for a new release tag: The user is then prompted to enter a new release tag. To assist with this, the script displays the tag retrieved in the previous step, and validates the format of the inputted tag (vX.X.X). The user is also reminded to update the version field in package.json.
  3. Tagging the new release: The script then tags a new release and syncs the separate major tag (e.g. v1, v2) with the new release tag (e.g. v1.0.0, v2.1.2). When the user is creating a new major release, the script auto-detects this and creates a releases/v# branch for the previous major version.
  4. Pushing changes to remote: Finally, the script pushes the necessary commits, tags and branches to the remote repository. From here, you will need to create a new release in GitHub so users can easily reference the new tags in their workflows.

License

This project is licensed under the terms of the MIT open source license. Please refer to MIT for the full terms.

Contributions

Contributions are welcome! See the Contributor's Guide.