List Parse Jobs
ParsingListPage parsing().list(ParsingListParamsparams = ParsingListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v2/parse
List parse jobs for the current project.
Filter by status or creation date range. Results are
paginated — use page_token from the response to fetch
subsequent pages.
List Parse Jobs
package com.llamacloud_prod.api.example;
import com.llamacloud_prod.api.client.LlamaCloudClient;
import com.llamacloud_prod.api.client.okhttp.LlamaCloudOkHttpClient;
import com.llamacloud_prod.api.models.parsing.ParsingListPage;
import com.llamacloud_prod.api.models.parsing.ParsingListParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();
ParsingListPage page = client.parsing().list();
}
}{
"items": [
{
"id": "pjb-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"project_id": "prj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"status": "PENDING",
"created_at": "2019-12-27T18:11:19.117Z",
"error_message": "error_message",
"name": "Q4 Financial Report",
"tier": "fast",
"updated_at": "2019-12-27T18:11:19.117Z",
"user_metadata": {
"owner": "jerry",
"team": "research"
}
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Returns Examples
{
"items": [
{
"id": "pjb-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"project_id": "prj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"status": "PENDING",
"created_at": "2019-12-27T18:11:19.117Z",
"error_message": "error_message",
"name": "Q4 Financial Report",
"tier": "fast",
"updated_at": "2019-12-27T18:11:19.117Z",
"user_metadata": {
"owner": "jerry",
"team": "research"
}
}
],
"next_page_token": "next_page_token",
"total_size": 0
}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/python/shared/mcp/