Python
from meibelai import Meibelai import os with Meibelai( api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""), ) as m_client: res = m_client.blueprints.executions.query_workflow(blueprint_instance_id="<id>", query_name="<value>", request_body=[ "<value 1>", "<value 2>", "<value 3>", ]) # Handle response print(res)
{ "detail": [ { "loc": [ "<string>" ], "msg": "<string>", "type": "<string>" } ] }
Documentation IndexFetch the complete documentation index at: https://docs.meibel.ai/llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: https://docs.meibel.ai/llms.txt
Use this file to discover all available pages before exploring further.
Unique identifier for the workflow instance
Name of the query to execute
Successful Response
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