Get File Page Figure
client.Pipelines.Images.GetPageFigure(ctx, figureName, params) (*PipelineImageGetPageFigureResponse, error)
GET/api/v1/files/{id}/page-figures/{page_index}/{figure_name}
Get a specific figure from a page of a file.
Get File Page Figure
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"),
)
response, err := client.Pipelines.Images.GetPageFigure(
context.TODO(),
"figure_name",
llamacloudprod.PipelineImageGetPageFigureParams{
ID: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
PageIndex: 0,
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", response)
}
{}Returns Examples
{}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/