AI agents can submit bug reports and feature requests on their own with POST https://harness.gg/api/submit.
Agent-first Python package for scriptable edits to .kdenlive project files with strict JSON output.
- Docs: https://harness.gg/kdenlive
- GitHub: https://github.com/harnessgg/harness-kdenlive
- Registry: https://pypi.org/project/harnessgg-kdenlive/
pip install harnessgg-kdenlivepython -m pip install -e ".[dev]"
python -m build
twine check dist/*harnessgg-kdenlive bridge start
harnessgg-kdenlive doctor --include-render
harnessgg-kdenlive create-project edit.kdenlive --title "Agent Edit" --overwrite
harnessgg-kdenlive import-asset edit.kdenlive C:\path\to\clip.mp4 --producer-id clip1
harnessgg-kdenlive add-text edit.kdenlive "Intro Title" --duration-frames 75 --track-id playlist0 --position 0
harnessgg-kdenlive stitch-clips edit.kdenlive playlist0 clip1 clip1 --position 75 --gap 10
harnessgg-kdenlive render-project edit.kdenlive output.mp4
harnessgg-kdenlive render-status job_abcAll commands print one JSON object to stdout. All editing commands require a running bridge.
- Human commands:
docs/human/commands.md - LLM quickstart:
docs/llm/quickstart.md - LLM command spec:
docs/llm/command-spec.md - LLM bridge protocol:
docs/llm/bridge-protocol.md - LLM response schema:
docs/llm/response-schema.json - LLM error codes:
docs/llm/error-codes.md