Skip to content

Paginated List Pipeline Documents

Deprecated
client.Pipelines.Documents.List(ctx, pipelineID, query) (*PaginatedCloudDocuments[CloudDocument], error)
GET/api/v1/pipelines/{pipeline_id}/documents/paginated

Return a list of documents for a pipeline.

ParametersExpand Collapse
pipelineID string
query PipelineDocumentListParams
FileID param.Field[string]optional
Limit param.Field[int64]optional
OnlyAPIDataSourceDocuments param.Field[bool]optional
OnlyDirectUpload param.Field[bool]optional
StatusRefreshPolicy param.Field[PipelineDocumentListParamsStatusRefreshPolicy]optional
const PipelineDocumentListParamsStatusRefreshPolicyCached PipelineDocumentListParamsStatusRefreshPolicy = "cached"
const PipelineDocumentListParamsStatusRefreshPolicyTtl PipelineDocumentListParamsStatusRefreshPolicy = "ttl"
ReturnsExpand Collapse
type CloudDocument struct{…}

Cloud document stored in S3.

ID string
Metadata map[string, any]
Text string
ExcludedEmbedMetadataKeys []stringoptional
ExcludedLlmMetadataKeys []stringoptional
PagePositions []int64optional

indices in the CloudDocument.text where a new page begins. e.g. Second page starts at index specified by page_positions[1].

StatusMetadata map[string, any]optional

Paginated List Pipeline Documents

package main

import (
  "context"
  "fmt"

  "github.com/run-llama/llama-parse-go"
  "github.com/run-llama/llama-parse-go/option"
)

func main() {
  client := llamacloudprod.NewClient(
    option.WithAPIKey("My API Key"),
  )
  page, err := client.Pipelines.Documents.List(
    context.TODO(),
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    llamacloudprod.PipelineDocumentListParams{

    },
  )
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", page)
}
{
  "documents": [
    {
      "id": "id",
      "metadata": {
        "foo": "bar"
      },
      "text": "text",
      "excluded_embed_metadata_keys": [
        "string"
      ],
      "excluded_llm_metadata_keys": [
        "string"
      ],
      "page_positions": [
        0
      ],
      "status_metadata": {
        "foo": "bar"
      }
    }
  ],
  "limit": 0,
  "offset": 0,
  "total_count": 0
}
Returns Examples
{
  "documents": [
    {
      "id": "id",
      "metadata": {
        "foo": "bar"
      },
      "text": "text",
      "excluded_embed_metadata_keys": [
        "string"
      ],
      "excluded_llm_metadata_keys": [
        "string"
      ],
      "page_positions": [
        0
      ],
      "status_metadata": {
        "foo": "bar"
      }
    }
  ],
  "limit": 0,
  "offset": 0,
  "total_count": 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/