from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = TransformDocumentRequest(name="Example")
result = client.documents.transform(body=body)
print(result){
"execution_id": "<string>",
"data": {},
"token_usage": {}
}Submit a document for AI-powered structured extraction and block until complete. Internally orchestrates a system agent session, polls for completion, and returns the extracted data.
from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = TransformDocumentRequest(name="Example")
result = client.documents.transform(body=body)
print(result){
"execution_id": "<string>",
"data": {},
"token_usage": {}
}Documentation Index
Fetch the complete documentation index at: https://docs.meibel.ai/llms.txt
Use this file to discover all available pages before exploring further.
File path, URL, or GCS URI to transform
Schema name/ID or inline JSON Schema
LLM model override
Extraction instructions override
Prompt template reference
Max wait time in seconds (sync only)
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