Use AI models from GitHub Models in your actions.
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 }}"
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 |
The AI inference action provides the following outputs:
Name | Description |
---|---|
response |
The response from the model |
In order to run inference with GitHub Models, the GitHub AI inference action
requires models
permissions.
permissions:
contents: read
models: read
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:
- 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.
- 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.
- 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. - 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.
This project is licensed under the terms of the MIT open source license. Please refer to MIT for the full terms.
Contributions are welcome! See the Contributor's Guide.