Execute evaluators against an agent deployed on Pipecat Cloud using project-level credentials. Cekura creates the sessions — no per-scenario room URLs needed. Requires Pipecat Cloud credentials configured on the agent or project.
Documentation Index
Fetch the complete documentation index at: https://docs.cekura.ai/llms.txt
Use this file to discover all available pages before exploring further.
API Key Authentication. It should be included in the header of each request.
Schema for the run_scenarios_pipecat_v2 endpoint with automated Pipecat Cloud integration. Uses Pipecat Cloud SDK to automatically create sessions and Daily.co rooms.
ID of the result
ID of the agent
Status of the result
pending, running, completed, failed Whether the scenario ran as text or not
false
{
"id": 274,
"status": "pending",
"scenario": 1,
"number": null,
"inbound_number": "+11234567890",
"scenario_name": "Customer Support Call (Agent Inbound = True)",
"test_profile_data": null
}{
"id": 275,
"status": "pending",
"scenario": 2,
"number": "+11234567890",
"inbound_number": null,
"scenario_name": "Outbound Sales Call (Agent Inbound = False)",
"test_profile_data": null
}"2025-02-25T21:00:01.990052Z"