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Delete Parse Job

client.parsing.delete(stringjobID, ParsingDeleteParams { organization_id, project_id } params?, RequestOptionsoptions?): ParsingDeleteResponse { id, project_id }
DELETE/api/v2/parse/{job_id}

Delete a parse job and its results.

The job must be in a terminal state (COMPLETED, FAILED, CANCELLED). Cancel a job that is still running before deleting it.

Returns the identifiers of the deleted job.

ParametersExpand Collapse
jobID: string
params: ParsingDeleteParams { organization_id, project_id }
organization_id?: string | null
project_id?: string | null
ReturnsExpand Collapse
ParsingDeleteResponse { id, project_id }

Confirmation that a parse job was deleted.

A deleted job can no longer be fetched, so the response echoes back what it was rather than pointing at it. Returning the identifiers instead of an empty body lets a caller assert on the delete it just made without a follow-up request.

id: string

Identifier of the deleted parse job

project_id: string

Project the deleted job belonged to

Delete Parse Job

import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
  apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});

const parsing = await client.parsing.delete('job_id');

console.log(parsing.id);
{
  "id": "pjb-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"
}
Returns Examples
{
  "id": "pjb-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"
}
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/