R L
List training sessions
Lists all training sessions.
Authorization
bearerAuth AuthorizationBearer <token>
In: header
Query Parameters
status?array<>
Status filters. When omitted, sessions in any status are returned.
limit?integer
Maximum number of sessions to return (1-100)
Default
20after?string
Cursor for pagination (ID of the last session from the previous page)
model_resources_id?string
Filter sessions by the model resource they are attached to
created_by?string
Filter sessions in the current project by the creator ID. Pass "me" to show sessions you created.
Response Body
application/json
application/json
curl -X GET "https://example.com/rl/training-sessions"{ "data": [ { "id": "string", "display_name": "string", "metadata": { "wandb": { "entity": "string", "project": "string", "group": "string", "run_name": "string", "run_id": "string", "url": "string" } }, "status": "TRAINING_SESSION_STATUS_UNSPECIFIED", "error": { "code": "TRAINING_SESSION_ERROR_CODE_RESOURCE_UNAVAILABLE", "message": "string", "occurred_at": "2019-08-24T14:15:22Z" }, "inference_checkpoints": [ { "id": "string", "step": "string", "created_at": "2019-08-24T14:15:22Z", "registration": { "model_name": "string", "registered_at": "2019-08-24T14:15:22Z", "model_object_id": "string", "model_object_revision_id": "string", "adapter_object_id": "string", "adapter_object_revision_id": "string" } } ], "training_checkpoints": [ { "id": "string", "step": "string", "created_at": "2019-08-24T14:15:22Z", "registration": { "object_id": "string", "object_revision_id": "string" } } ], "resume_from_checkpoint_id": "string", "step": "0", "created_at": "2019-08-24T14:15:22Z", "updated_at": "2019-08-24T14:15:22Z", "lora_config": { "rank": 32, "alpha": 64, "dropout": 0, "seed": "string", "train_unembed": true }, "model_resources_id": "string", "base_model": "string", "created_by": "string", "policy_state": { "trainer_step": "string", "target_weights_version": "string", "applied_weights_version": "string", "pending_publish": true } } ], "meta": { "limit": 0, "has_more": true, "next_cursor": "string" }}Stop model resources POST
Stops the model resource and releases its allocated compute. If active training sessions are attached, the request fails unless `force=true`. A forced stop also stops all attached training sessions.
Create training session POST
Creates a training session and returns its details.