The sealights-python-agent integrates your Python applications with the Tricentis Sealights Quality Intelligence Platform. It provides real-time code coverage analysis, test optimization, and quality analytics for your CI/CD pipelines.

With this agent you can:

  • Scan builds – map your source code so Sealights can track changes across builds and branches.

  • Collect code coverage – capture per-test method-level coverage during test execution.

  • Optimize testing – leverage Sealights Test Impact Analysis to run only the tests affected by recent code changes, reducing CI cycle time.

Compatibility

  • Python 3.10, 3.11, 3.12, 3.13, 3.14

  • Test frameworks: pytest, unittest, unittest2, Behave, Robot Framework, nose (on Python 3.11 and earlier)

Installation

pip install sealights-python-agent

Quick Start

# 1. Scan your build
sl-python scan --tokenfile sltoken.txt --buildsessionidfile buildSessionId \
    --workspacepath .

# 2. Start a test session
sl-python start --tokenfile sltoken.txt --buildsessionidfile buildSessionId \
    --teststage "Unit Tests"

# 3. Run your tests with coverage
sl-python pytest --teststage "Unit Tests" <your test args...>

# 4. End the test session
sl-python end --tokenfile sltoken.txt --buildsessionidfile buildSessionId

Documentation

For complete setup guides, configuration options, and advanced usage, see the official Tricentis Sealights documentation:

https://docs.sealights.io/knowledgebase

Support

For questions, issues, or feature requests, please contact Tricentis Support:

https://support.tricentis.com/

License

This package is distributed under a proprietary license. See LICENSE.txt for details.

Release Notes

2.10.17 (2026-07-29)

  • Fixed a rare out-of-memory crash during build scanning when the agent is injected via a container-wide PYTHONPATH; dependency collection now runs in-process instead of shelling out to pip

2.10.15 (2026-07-20)

  • Added support for chaining additional Lambda wrappers in the serverless layer

  • Improved agent-start event to report working directory and SL_* environment context (tokens redacted)

  • Dropped support for Python 3.9; supported versions are now 3.10 - 3.14

  • Upgraded urllib3 and cryptography to address security vulnerabilities

2.10.1 (2026-04-27)

  • Improved coverage reliability at end of test execution

2.10.0 (2026-04-20)

  • Added support for Python 3.14

2.9.0 (2026-04-16)

  • Upgraded requests library to address security vulnerability

  • Improved Behave test framework integration

2.8.0 (2026-03-30)

  • Added CLI command aliases for improved usability

  • Standardized command-line parameter naming

2.7.18 (2026-03-11)

  • Added testProjectId support for Robot Framework SLListener

2.7.17 (2026-03-04)

  • Improved stability of background polling during test execution

2.7.16 (2026-03-03)

  • Improved coverage collection for short-lived test runs

2.7.15 (2026-03-03)

  • Added HTTP retry mechanism with configurable error handling (SL_FAIL_ON_ERROR)

  • Improved data flushing for unit testing workflows

2.7.13 (2026-03-02)

  • Improved build session ID and lab ID handling

2.7.12 (2026-02-13)

  • Improved SL_LAB_ID environment variable compatibility

2.7.11 (2026-02-04)

  • Added include/exclude rules reporting in agent start event

  • Added .slignore file support for excluding files from scanning

  • Synchronized console messages with latest platform updates

2.7.10 (2026-01-28)

  • Improved configuration initialization and settings management

2.7.9 (2026-01-15)

  • Upgraded urllib3 to version 2.6.3 for improved security and stability

2.7.8 (2026-01-13)

  • Upgraded urllib3 to version 2.6.2 with enhanced HTTP handling

2.7.7 (2025-12-29)

  • Improved configuration management and feature initialization

  • Enhanced error handling and console messaging

2.7.6 (2025-12-24)

  • Improved MD5 hashing compatibility

  • Improved test project ID handling

2.7.5 (2025-10-28)

  • Improved lab ID handling from CLI parameters

  • Improved test project ID support

2.7.1 (2025-10-09)

  • Added Robot Framework lab ID support

  • Revendored internal dependencies to latest versions

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.10.19)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for sealights from gravatar.com sealights

Credits

Author/Maintainer: Tricentis Sealights

License

Other/Proprietary License (Other/Proprietary License)

Requires

Python <4, >=3.10

Provides Extra

dev test

Tags

sealights tricentis python agent coverage testing quality intelligence

Classifiers

Report project as malware

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