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.
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/