This release is a pre-release and may not be stable for production use.
Cekura Python SDK
Testing and Observability for AI Voice Agents. Launch in minutes not weeks by ensuring your agents deliver a seamless experience in every conversational scenario.
Installation
pip install cekura
SDK
The Python SDK provides a sync and async API client for the Cekura platform.
pip install cekura[sdk]
from cekura import Cekura
client = Cekura(api_key="your-api-key")
# List agents
agents = client.agents.list()
# Get a specific agent
agent = client.agents.get(agent_id=123)
# List scenarios for a project
scenarios = client.scenarios.list(project_id=42)
For async usage:
from cekura import AsyncCekura
async with AsyncCekura(api_key="your-api-key") as client:
agents = await client.agents.list()
See the API documentation for the full resource reference.
CLI
The CLI lets you manage agents, scenarios, metrics, and test runs from the terminal.
pip install cekura[cli]
# Authenticate
cekura auth login
# List your agents
cekura agents list
# Start a test run
cekura run start --agent-id 123 --scenario-id 456
# Stream run progress
cekura run watch <run-id>
Integrations
LiveKit
- One-line integration for simulation and observability
- Automatic metrics collection (STT, LLM, TTS, EOU)
- Session logs capture
- Mock tool injection for testing
- Dual-channel audio recording
- Built-in OpenTelemetry export for LiveKit agent traces
Pipecat
- Automatic transcript capture with timestamps
- Audio recording with S3 upload
- Built-in OpenTelemetry tracing (conversation, turn, STT/LLM/TTS spans)
- Session logs capture
- Minimal 3-line integration
Requirements
- Python 3.9+
- aiohttp>=3.9.0
License
MIT License - see LICENSE file for details.
Links
Support
For support, email support@cekura.ai
1 maintainer
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