Get Classify Job
client.Classify.Get(ctx, jobID, query) (*ClassifyGetResponse, error)
GET/api/v2/classify/{job_id}
Get a classify job by ID.
Returns the job status, configuration, and classify result when complete. The result includes the matched document type, confidence score, and reasoning.
Get Classify Job
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"),
)
classify, err := client.Classify.Get(
context.TODO(),
"job_id",
llamacloudprod.ClassifyGetParams{
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", classify.ID)
}
{
"id": "id",
"configuration": {
"rules": [
{
"description": "contains invoice number, line items, and total amount",
"type": "invoice"
}
],
"mode": "FAST",
"parsing_configuration": {
"lang": "en",
"max_pages": 10,
"target_pages": "1,3,5-7"
}
},
"document_input_type": "url",
"file_input": "file_input",
"project_id": "project_id",
"status": "PENDING",
"user_id": "user_id",
"configuration_id": "configuration_id",
"created_at": "2019-12-27T18:11:19.117Z",
"error_message": "error_message",
"parse_job_id": "parse_job_id",
"result": {
"confidence": 0,
"reasoning": "reasoning",
"type": "type"
},
"transaction_id": "transaction_id",
"updated_at": "2019-12-27T18:11:19.117Z"
}Returns Examples
{
"id": "id",
"configuration": {
"rules": [
{
"description": "contains invoice number, line items, and total amount",
"type": "invoice"
}
],
"mode": "FAST",
"parsing_configuration": {
"lang": "en",
"max_pages": 10,
"target_pages": "1,3,5-7"
}
},
"document_input_type": "url",
"file_input": "file_input",
"project_id": "project_id",
"status": "PENDING",
"user_id": "user_id",
"configuration_id": "configuration_id",
"created_at": "2019-12-27T18:11:19.117Z",
"error_message": "error_message",
"parse_job_id": "parse_job_id",
"result": {
"confidence": 0,
"reasoning": "reasoning",
"type": "type"
},
"transaction_id": "transaction_id",
"updated_at": "2019-12-27T18:11:19.117Z"
}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/