harnessgg-kdenlive 0.3.0

Agent-first harness for editing Kdenlive projects

harness-kdenlive

Agent-first Python package for safe, scriptable edits to .kdenlive project files.

• JSON-first CLI for LLM/tooling use
• Bridge-first architecture (no direct CLI fallback)
• Position-aware timeline editing (add, move, trim, remove)
• Validation, diffing, and snapshot history

Install

pip install harnessgg-kdenlive

Quick Start

harness-kdenlive bridge start
harness-kdenlive doctor --include-render
harness-kdenlive create-project edit.kdenlive --title "Agent Edit" --overwrite
harness-kdenlive import-asset edit.kdenlive C:\path\to\clip.mp4 --producer-id clip1
harness-kdenlive add-text edit.kdenlive "Intro Title" --duration-frames 75 --track-id playlist0 --position 0
harness-kdenlive stitch-clips edit.kdenlive playlist0 clip1 clip1 --position 75 --gap 10
harness-kdenlive inspect project.kdenlive
harness-kdenlive validate project.kdenlive
harness-kdenlive add-clip project.kdenlive producer1 playlist0 120 --output edited.kdenlive
harness-kdenlive diff project.kdenlive edited.kdenlive
harness-kdenlive render-project edited.kdenlive output.mp4
harness-kdenlive list-effects edited.kdenlive producer1
harness-kdenlive apply-effect edited.kdenlive producer1 brightness --effect-id fx1 --properties-json "{\"gain\":\"0.5\"}"
harness-kdenlive list-transitions edited.kdenlive
harness-kdenlive bridge soak --iterations 100 --duration-seconds 5
harness-kdenlive bridge verify --iterations 25

All commands print one JSON object to stdout. All editing commands require a running bridge.

Python API

from harness_kdenlive import KdenliveProject, TransactionManager
from harness_kdenlive.api import TimelineAPI

project = KdenliveProject("project.kdenlive")
timeline = TimelineAPI(project)
txn = TransactionManager(project)

with txn.transaction("Add intro clip"):
    timeline.add_clip("producer1", "playlist0", position=0, in_point="0", out_point="49")

project.save("edited.kdenlive")

Docs

• 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

Publishing

python -m pip install -e ".[dev]"
python -m build
twine check dist/*

GitHub Actions workflow for trusted publishing is in .github/workflows/publish.yml.