---
title: "Api Annotation Items Queue List"
method: GET
path: "/api/annotation-items/queue/"
tags: ["evaluations"]
---

# Api Annotation Items Queue List

`GET /api/annotation-items/queue/`

GET/POST /api/annotation-items/queue/

Worker queue view: MY assigned items for focused annotation work.
Used by everyone (including admins) when doing annotation work.

Permission: No permission required (self-filtering to assignee=current_user)

Features:
- Prefetch FULL objects for instant navigation
- Privacy: Only see OWN scores
- Optional filtering (source_type, status)
- Pagination support (page, page_size query params)

Use cases:
- Workers see their work queue
- Admins see their queue when annotating
- Focused view - only MY items

Query Parameters (GET):
- page: Page number (default: 1)
- page_size: Items per page (default: 100, max: 1000)
- source_type: Filter by source type (optional)
- status: Filter by status (optional)

Request Body (POST):
{
  "filters": {
    "source_type": {"operator": "", "value": "logs"},
    "status": {"operator": "", "value": "pending"}
  }
}

Response (paginated):
{
  "count": 5,
  "next": "/api/annotation-items/queue/?page=2",
  "previous": null,
  "results": [
    {
      "id": "item_1",
      "status": "pending",
      "full_object": {...},
      "scores": [...]
    }
  ]
}

## Query parameters

- `page` integer
- `page_size` integer

## Headers

- `Authorization` string, required

## Response `200`

- PaginatedAnnotationItemQueueList
  - `count` integer, required
  - `next` string, uri, nullable
  - `previous` string, uri, nullable
  - `total_count` integer
  - `current_filters` FilterParamDictPydantic — Pydantic model for FilterParamDict. A dictionary that maps metric names to their filter parameters. Each key is a metric name (str), and each value can be: - A single MetricFilterParamPydantic (one condition) - A List[MetricFilterParamPydantic] (multiple conditions for same metric) - A FilterBundlePydantic (nested filter bundle with connector) Note: Uses extra="allow" for dynamic metric name fields. The __pydantic_extra__ annotation tells Pydantic what types to expect for extra fields, and generates typed additionalProperties in JSON Schema.
  - `filters_data` PaginatedAnnotationItemQueueListFiltersData
  - `results` AnnotationItemQueue[], required
    - `id` string
    - `source_id` string, required
    - `source_type` 'logs' | 'dataset_logs' | 'threads', required — * `logs` - Logs * `dataset_logs` - Dataset Logs * `threads` - Threads
    - `source_dataset_id` string, nullable
    - `created_by` Editor, required
      - `id` integer, required
      - `email` string, required
      - `name` string, required
      - `username` string
      - `first_name` string
      - `last_name` string
    - `status` 'pending' | 'processing' | 'paused' | 'completed' | 'failed' | 'cancelled' — * `pending` - Pending * `processing` - Processing * `paused` - Paused * `completed` - Completed * `failed` - Failed * `cancelled` - Cancelled
    - `evaluator_ids` string[] — List of evaluator IDs that define which scoring criteria the assignee should fill out
    - `created_at` string, date-time, required
    - `completed_at` string, date-time, nullable
    - `full_object` unknown, required
    - `scores` object, required

---

[API](https://skmtc.net/keywordsai/apis/api-reference.md) · [All operations](https://skmtc.net/keywordsai/apis/api-reference/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/keywordsai/api-reference/versions/c26d550029f8/schema)