Review
Create Extract Review
client.extract.review.create(stringjobID, ReviewCreateParams { organization_id, project_id, confidence_threshold, 2 more } params?, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
POST/api/v2/extract/{job_id}/review
Get Extract Review
client.extract.review.get(stringjobID, ReviewGetParams { organization_id, project_id } query?, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
GET/api/v2/extract/{job_id}/review
Change Extract Review Fields
client.extract.review.changeFields(stringjobID, ReviewChangeFieldsParams { changes, revision, organization_id, project_id } params, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
POST/api/v2/extract/{job_id}/review/fields
Approve Extract Review
client.extract.review.approve(stringjobID, ReviewApproveParams { revision, organization_id, project_id, sign_off } params, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
POST/api/v2/extract/{job_id}/review/approve
Reject Extract Review
client.extract.review.reject(stringjobID, ReviewRejectParams { reason, revision, organization_id, project_id } params, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
POST/api/v2/extract/{job_id}/review/reject
Reopen Extract Review
client.extract.review.reopen(stringjobID, ReviewReopenParams { revision, organization_id, project_id } params, RequestOptionsoptions?): ExtractReview { id, confidence_threshold, created_at, 16 more }
POST/api/v2/extract/{job_id}/review/reopen
List Extract Review Events
client.extract.review.listEvents(stringjobID, ReviewListEventsParams { organization_id, page_size, page_token, project_id } query?, RequestOptionsoptions?): PaginatedCursor<ExtractReviewEvent { id, actor_id, created_at, 5 more } >
GET/api/v2/extract/{job_id}/review/events
Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/
- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/