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Import Pipeline Metadata

Deprecated
client.Pipelines.Metadata.New(ctx, pipelineID, body) (*PipelineMetadataNewResponse, error)
PUT/api/v1/pipelines/{pipeline_id}/metadata

Import metadata for a pipeline.

ParametersExpand Collapse
pipelineID string
body PipelineMetadataNewParams
UploadFile param.Field[Reader]
ReturnsExpand Collapse
type PipelineMetadataNewResponse map[string, string]

Import Pipeline Metadata

package main

import (
  "bytes"
  "context"
  "fmt"
  "io"

  "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"),
  )
  metadata, err := client.Pipelines.Metadata.New(
    context.TODO(),
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    llamacloudprod.PipelineMetadataNewParams{
      UploadFile: io.Reader(bytes.NewBuffer([]byte("Example data"))),
    },
  )
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", metadata)
}
{
  "foo": "string"
}
Returns Examples
{
  "foo": "string"
}
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/