from meibelai import Meibelai
import os
with Meibelai(
api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
) as m_client:
res = m_client.confidence_scoring.get_all_scoring_jobs(agent_name="<value>", agent_version=None, agent_execution_id="<id>", agent_workflow_name="<value>", agent_workflow_version="<value>", agent_workflow_execution_id="<id>", tool_id="<id>", tool_instance_id="<id>", tool_execution_id="<id>")
# Handle response
print(res){
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Get all scoring jobs for the caller’s customer.
from meibelai import Meibelai
import os
with Meibelai(
api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
) as m_client:
res = m_client.confidence_scoring.get_all_scoring_jobs(agent_name="<value>", agent_version=None, agent_execution_id="<id>", agent_workflow_name="<value>", agent_workflow_version="<value>", agent_workflow_execution_id="<id>", tool_id="<id>", tool_instance_id="<id>", tool_execution_id="<id>")
# Handle response
print(res){
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}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.
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