{
  "opencollection": "1.0.0",
  "info": {
    "name": "LlamaIndex LlamaCloud Data Sources Pipelines API",
    "version": "1.0"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Pipelines",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "List pipelines",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.cloud.llamaindex.ai/api/v1/pipelines",
            "params": [
              {
                "name": "project_id",
                "value": "",
                "type": "query",
                "description": "Filter pipelines by project identifier."
              }
            ]
          },
          "docs": "Retrieve a list of all pipelines for the specified project. Pipelines represent document ingestion workflows that process, embed, and index documents."
        },
        {
          "info": {
            "name": "Create a pipeline",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.cloud.llamaindex.ai/api/v1/pipelines",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Create a new document ingestion pipeline with specified configuration including parsing, embedding, and vector store settings."
        },
        {
          "info": {
            "name": "Get a pipeline",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.cloud.llamaindex.ai/api/v1/pipelines/:pipelineId",
            "params": [
              {
                "name": "pipelineId",
                "value": "",
                "type": "path",
                "description": "Unique identifier of the pipeline."
              }
            ]
          },
          "docs": "Retrieve detailed information about a specific pipeline including its configuration, status, and associated resources."
        },
        {
          "info": {
            "name": "Delete a pipeline",
            "type": "http"
          },
          "http": {
            "method": "DELETE",
            "url": "https://api.cloud.llamaindex.ai/api/v1/pipelines/:pipelineId",
            "params": [
              {
                "name": "pipelineId",
                "value": "",
                "type": "path",
                "description": "Unique identifier of the pipeline."
              }
            ]
          },
          "docs": "Delete a pipeline and optionally its associated resources."
        },
        {
          "info": {
            "name": "Sync a pipeline",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.cloud.llamaindex.ai/api/v1/pipelines/:pipelineId/sync",
            "params": [
              {
                "name": "pipelineId",
                "value": "",
                "type": "path",
                "description": "Unique identifier of the pipeline."
              }
            ]
          },
          "docs": "Run ingestion for the pipeline by incrementally updating the data sink with upstream changes from data sources and files. This triggers a new ingestion job that processes any new or modified content."
        }
      ]
    }
  ],
  "bundled": true
}