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name: integrations-and-plugins description: "Route SwanLab framework callback adapters, notification plugins, CSV writer, and callback protocol questions." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Integrations and Plugins

Use this sub-skill for SwanLab adapter and plugin questions that are not about base experiment tracking, media objects, or settings/credentials.

Route here for

• Framework callback adapters: Transformers, PyTorch Lightning, Keras, LightGBM, XGBoost, CatBoost, Ray, Accelerate, MMEngine, Ultralytics, FastAI, Stable-Baselines3, PaddleNLP, and Torchtune.
• Plugin callbacks: notifications and CSV writer behavior.
• Custom Callback subclasses, callback dedupe, merge order, and lifecycle hooks.
• Optional dependency import errors for framework adapters.

Use these references

• Framework integrations
• Plugins
• Troubleshooting
• Validation script

Route away from here

• Base tracking APIs and run lifecycle → experiment-tracking.
• Media object details and custom charts → media-and-custom-charts.
• Settings, hosts, login, and credential storage → settings-and-modes.

Working rule

Keep the answer focused on the adapter or plugin hook path, then call out the exact callback name, required package, and any single-process or merge-order caveat.