ENGINEERING
Agent reviews model-license fit and suggests compliant swaps on the PR
When a PR adds a Hugging Face model, an agent reads the model card and license, judges fit against your commercial-use policy.
How it runs
The automated pipeline, trigger to output.
- TriggerPull request adds a model dependencyGitHub
- ActionExtract added HF model IDs from diffGitHub
- ActionAgent reads model cards and judges license fitHugging Face
- ActionSearch HF for permissive same-task alternativesHugging Face
- OutputPost agent review comment on the PRGitHub
What it does
Goes beyond a yes/no license check. An agent reads the full Hugging Face model card — license, intended use, task tags, and restrictions — reasons about whether the model fits your commercial policy, and writes a substantive PR review comment. When the license is a problem, it proposes concrete alternative models that perform the same task under a permissive license.
When to use it
Use it when a binary allowlist is too blunt — for example openrail variants whose terms depend on use, or when engineers genuinely need help finding a compliant substitute rather than just being told no.
How it works
- 1A GitHub pull request event triggers the agent.
- 2Added Hugging Face model IDs are extracted from the diff.
- 3The agent fetches each model card and license via the Hugging Face API and reasons about commercial-use compatibility.
- 4For non-compliant models, the agent searches Hugging Face for permissively-licensed models matching the same task and pipeline tag.
- 5The agent posts a GitHub PR review comment with its compatibility verdict, the reasoning, and ranked alternative models.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.