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)
# Run test cases from a checked-in JSON spec, without creating evaluators.
# dry_run validates and prices the spec without running or charging anything.
import json
spec = json.load(open("tests/agent-suite.json"))
plan = client.scenarios.run_json(spec, agent_id=123, dry_run=True)
result = client.scenarios.run_json(spec, agent_id=123, channel="voice")
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
Metadata
Release files for cekura 1.6.5rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cekura-1.6.5rc1.tar.gz | 94.6 kB | Without provenance | Details for cekura-1.6.5rc1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cekura-1.6.5rc1-py3-none-any.whl | Python 3 | none | any | Details for cekura-1.6.5rc1-py3-none-any.whl |
Total release size: 222.2 kB
Release files / cekura-1.6.5rc1.tar.gz
| Download URL | cekura-1.6.5rc1.tar.gz |
|---|---|
| Size | 94.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
93cb5222de2a0b236b2449ea5aca5d5c1a68c9b6ae12458393f0e42cf4e961f9
|
|
BLAKE2b-256 checksum How to use checksums |
e608b14039ae136bea37277c3fa8a72406e7a104d8125b6457a96856e4dc96b1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / cekura-1.6.5rc1-py3-none-any.whl
| Download URL | cekura-1.6.5rc1-py3-none-any.whl |
|---|---|
| Size | 127.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
913048d58f53e7a3d2781368c10ccf9f01028b247ceb665c83eb4ef28776a0fa
|
|
BLAKE2b-256 checksum How to use checksums |
82742ce8727f6d8a7d616fa5384a6bfcfe1025c922e73d05b40f110890d256ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for cekura 1.6.5rc1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.