## Get Batch Job Status `beta.batch.get_status(strjob_id, BatchGetStatusParams**kwargs) -> BatchGetStatusResponse` **get** `/api/v1/beta/batch-processing/{job_id}` Get detailed status of a batch processing job. Returns current progress percentage, file counts (total, processed, failed, skipped), and timestamps. ### Parameters - `job_id: str` - `organization_id: Optional[str]` - `project_id: Optional[str]` ### Returns - `class BatchGetStatusResponse: …` Detailed status response for a batch processing job. - `job: Job` Response schema for a batch processing job. - `id: str` Unique identifier for the batch job - `job_type: Literal["parse", "extract", "classify"]` Type of processing operation (parse or classify) - `"parse"` - `"extract"` - `"classify"` - `project_id: str` Project this job belongs to - `status: Literal["pending", "running", "dispatched", 3 more]` Current job status - `"pending"` - `"running"` - `"dispatched"` - `"completed"` - `"failed"` - `"cancelled"` - `total_items: int` Total number of items in the job - `completed_at: Optional[datetime]` Timestamp when job completed - `created_at: Optional[datetime]` Creation datetime - `directory_id: Optional[str]` Directory being processed - `effective_at: Optional[datetime]` - `error_message: Optional[str]` Error message for the latest job attempt, if any. - `failed_items: Optional[int]` Number of items that failed processing - `job_record_id: Optional[str]` The job record ID associated with this status, if any. - `processed_items: Optional[int]` Number of items processed so far - `skipped_items: Optional[int]` Number of items skipped (already processed or size limit) - `started_at: Optional[datetime]` Timestamp when job processing started - `updated_at: Optional[datetime]` Update datetime - `workflow_id: Optional[str]` Async job tracking ID - `progress_percentage: float` Percentage of items processed (0-100) ### Example ```python import os from llama_cloud import LlamaCloud client = LlamaCloud( api_key=os.environ.get("LLAMA_CLOUD_API_KEY"), # This is the default and can be omitted ) response = client.beta.batch.get_status( job_id="job_id", ) print(response.job) ``` #### Response ```json { "job": { "id": "bjb-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee", "job_type": "parse", "project_id": "proj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee", "status": "pending", "total_items": 0, "completed_at": "2019-12-27T18:11:19.117Z", "created_at": "2019-12-27T18:11:19.117Z", "directory_id": "dir-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee", "effective_at": "2019-12-27T18:11:19.117Z", "error_message": "error_message", "failed_items": 0, "job_record_id": "job_record_id", "processed_items": 0, "skipped_items": 0, "started_at": "2019-12-27T18:11:19.117Z", "updated_at": "2019-12-27T18:11:19.117Z", "workflow_id": "workflow_id" }, "progress_percentage": 0 } ```