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https://github.com/QwenLM/qwen-code.git
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4ac3df1b63
Add a Python-based concurrent runner that executes multiple Qwen CLI tasks
across different models in parallel using isolated git worktrees.
Features:
- Execute N tasks × M models concurrently with configurable concurrency
- Create isolated git worktrees for each run under ~/.qwen/worktrees
- Real-time progress display with Rich library
- Capture stdout, stderr, and OpenAI API logs per run
- Atomic JSON tracking of all runs with status and metadata
- Automatic cleanup of worktrees after each run
Structure:
- runner.py: Main implementation with asyncio
- requirements.txt: Python dependencies
- README.md: Documentation and usage
- config.example.json: Configuration template
- examples/: Toy example with sample config and project
Usage:
python runner.py config.json
Each run creates an isolated output directory:
outputs/{run_id}/
├── stdout.txt
├── stderr.txt
└── logs/openai-*.json
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
34 lines
917 B
JSON
34 lines
917 B
JSON
{
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"concurrency": 3,
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"yolo": true,
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"source_repo": ".",
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"worktree_base": "~/.qwen/worktrees",
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"outputs_dir": "./outputs",
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"results_file": "./results.json",
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"tasks": [
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{
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"id": "code-review",
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"name": "Security Code Review",
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"prompts": [
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"Review the codebase for security vulnerabilities.",
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"Focus on input validation, authentication, and data handling."
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]
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},
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{
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"id": "refactor",
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"name": "Refactoring Suggestions",
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"prompts": [
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"Analyze the code structure and suggest refactoring improvements.",
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"Prioritize changes that improve maintainability and performance."
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]
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},
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{
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"id": "docs",
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"name": "Documentation Generation",
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"prompts": [
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"Generate comprehensive API documentation for the main modules."
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]
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}
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],
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"models": ["claude-3-5-sonnet-20241022", "qwen3-coder-plus"]
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}
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