iblai-api-agent-datasetlisted

# iblai-api-agent-dataset Manage an agent's training datasets (RAG) through the API: list an agent's training documents, add new resources to its knowledge base, train / untrain and set visibility, configure a retrain schedule, and delete datasets. Use when feeding an agent knowledge. ## Auth & conventions - **Base URL:** `https://api.iblai.app` - **Header:** `Authorization: Api-Token $IBLAI_API_KEY` on every request. - **Path vars:** `{org}` = `$IBLAI_ORG`, `{username}` = `$IBLAI_USERNAME`, `{mentor}` = the agent's unique id (e.g. `d17dc729-60fd-4363-81a0-f67d9318b03e`), used here as the `pathway`. - **Host:** these endpoints live under `…/dm/api/ai-index/…`. - Not connected yet? Run **`/iblai-api-login`** first to populate `IBLAI_ORG`, `IBLAI_USERNAME`, and `IBLAI_API_KEY`. ## Reads - **GET** `https://api.iblai.app/dm/api/ai-index/orgs/{org}/users/{username}/documents/pathways/{mentor}/?limit=5&offset={n}&search={q}` — list training docs. Poll this every 2s while any document is `pending`. - **GET** `https://api.iblai.app/dm/api/ai-index/documents/{document_id}/settings/` — retrain schedule. - **GET** `https://api.github.com/repos/{owner}/{repo}/branches` — list GitHub branches for a repo resource (external, no auth). ## Writes - **POST** `https://api.iblai.app/dm/api/ai-index/orgs/{org}/users/{username}/documents/train/` — add a training resource (`multipart/form-data`); `type` varies: - File: ```json { "file": "File (required)", "pathway