Integration / Analytics & Data
Weights & Biases integration
Read W&B Models projects, runs, sweeps, artifact types, reports, automations, integrations, teams, and organizations through the W&B Cloud GraphQL API.
About Weights & Biases
Weights & Biases is an MLOps platform for tracking experiments, models, sweeps, artifacts, and reports. It helps ML teams monitor runs, compare results, and manage model development in one place.
All integrations- Category
- Analytics & Data, Developer Tools & DevOps
- Connection
- API key
- Type
- Tool
- Actions
- 10
- Tags
- library
Example prompts
What you can ask Growf to do with Weights & Biases
- “Summarize failed runs in my project”
- “Compare sweep results for best model”
- “List artifacts for latest training run”
Available actions
10 actions your agents can run in Weights & Biases
Get Current Viewer
Return the authenticated W&B user, default entity, and team names for connection context.
Get Organization
Return a W&B organization's identifiers and organization entity by exact name.
Get Team
Return a W&B team's identity and bounded membership metadata by exact team entity name.
List Artifact Types
Return one page of artifact types defined in a W&B project.
List Automations
Return one page of W&B automations accessible under an entity.
List Integrations
List one page of Slack workspace/channel metadata and webhook integration names for a W&B entity. Webhook URLs and credentials are excluded.
List Projects
Return one page of W&B projects visible under an entity.
List Reports
Return one page of beta W&B reports for a project.
List Runs
List one page of runs with IDs, display names, states, and creation times. Does not return run config, metrics, or history.
List Sweeps
Return one page of hyperparameter sweeps from a W&B project when sweeps are enabled for the account.
Put Weights & Biases to work inside Growf.
Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.