# Humanloop AI integration on Definable

> Humanloop helps developers build and refine AI applications, offering user feedback loops, model training, and data annotation to iterate on language model performance

## What this connects

Humanloop helps developers build and refine AI applications, offering user feedback loops, model training, and data annotation to iterate on language model performance

Vendor: https://humanloop.com

## Tools available

**4** tools available. First 4:

- `HUMANLOOP_CREATE_PROJECT` — Create Project — This tool creates a new project in Humanloop. It is an independent action that generates a project by accepting a project's name (required), an optional description, and an optional organization_id. Upon execution, it returns details of the created project, including the project's id, name, description, created_at timestamp, and organization_id.
- `HUMANLOOP_DELETE_PROJECT` — Delete Project — This tool allows you to delete a specific project from your Humanloop organization. The deletion is permanent and cannot be undone. All associated data, including sessions, datapoints, and evaluations linked to the project, will be permanently removed.
- `HUMANLOOP_LIST_EXPERIMENTS` — List Experiments — This tool retrieves an array of experiments associated with a specific project in Humanloop. It requires a project_id (starting with 'pr_') and returns details including experiment_id, name, description, creation timestamp, status, configuration details, and metrics/results. It is useful for monitoring experiments, analyzing results, tracking model configurations, and comparing experimental setups.
- `HUMANLOOP_LIST_SESSIONS` — List Sessions — This tool retrieves a paginated list of sessions for a specific project in Humanloop. It requires a project_id (and optionally, page and size for pagination) and returns session details such as id, reference_id, project information, datapoints_count, first_inputs, last_output, created_at, and updated_at. This enables users to monitor and analyze historical project interactions.

## Auth

Auth schemes: `API_KEY`.

## How agents use Humanloop

Inside a Definable workflow, Humanloop is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Humanloop** — the Researcher (GPT-5.5) pulls context from Humanloop (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Humanloop** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Humanloop (create record, post message, draft email).
- **Designer / Engineer → Distributor → Humanloop** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Humanloop (attach file, open PR comment, post status).

The Verifier checks every Humanloop call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/
- developer tools — https://definable.ai/apps/category/developer-tools/

## Related

- HTML page: https://definable.ai/apps/humanloop/
- Same category (artificial intelligence): https://definable.ai/apps/category/artificial-intelligence/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt