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List Pipelines

PipelineListPaginatedPage pipelines().listPaginated(PipelineListPaginatedParamsparams = PipelineListPaginatedParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v2/pipelines

List the pipelines in a project, newest first.

ParametersExpand Collapse
PipelineListPaginatedParams params
Optional<String> name
Optional<String> organizationId
Optional<Long> pageSize
Optional<String> pageToken
Optional<PipelineType> pipelineType
MANAGED("MANAGED")
PLAYGROUND("PLAYGROUND")
Optional<String> projectId
ReturnsExpand Collapse
class PipelineListPaginatedResponse:

A pipeline in a project.

String id

The pipeline’s unique identifier.

String name

The pipeline’s display name.

PipelineType pipelineType

The pipeline’s type.

One of the following:
MANAGED("MANAGED")
PLAYGROUND("PLAYGROUND")
String projectId

The project the pipeline belongs to.

Optional<LocalDateTime> createdAt

Creation datetime

formatdate-time
Optional<Status> status

The pipeline’s current status.

One of the following:
CREATED("CREATED")
DELETING("DELETING")
Optional<LocalDateTime> updatedAt

Update datetime

formatdate-time

List Pipelines

package ai.llamaindex.llamacloud.example;

import ai.llamaindex.llamacloud.client.LlamaCloudClient;
import ai.llamaindex.llamacloud.client.okhttp.LlamaCloudOkHttpClient;
import ai.llamaindex.llamacloud.models.pipelines.PipelineListPaginatedPage;
import ai.llamaindex.llamacloud.models.pipelines.PipelineListPaginatedParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();

        PipelineListPaginatedPage page = client.pipelines().listPaginated();
    }
}
{
  "items": [
    {
      "id": "id",
      "name": "name",
      "pipeline_type": "MANAGED",
      "project_id": "project_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "status": "CREATED",
      "updated_at": "2019-12-27T18:11:19.117Z"
    }
  ],
  "next_page_token": "next_page_token",
  "total_size": 0
}
Returns Examples
{
  "items": [
    {
      "id": "id",
      "name": "name",
      "pipeline_type": "MANAGED",
      "project_id": "project_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "status": "CREATED",
      "updated_at": "2019-12-27T18:11:19.117Z"
    }
  ],
  "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/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/