Commit ddbce3e
Richard Barrett
Initial release of autoevolve v0.1.0
Evolutionary optimization framework using LLMs as intelligent mutation
operators. Supports Python code and prompt text evolution via beam search,
archive feedback, and swarm agents.
Features:
- Two artifact types: python_code, prompt_text
- Three strategies: beam, beam_archive, swarm
- Four mutation modes: rewrite, patch, nl_feedback, crossover
- Five LLM providers: mock, anthropic, openai, ollama, external_command
- Subprocess-based evaluator sandboxing with timeout
- Archive with top-k, recent-k, diverse-k selection
- OPRO-style natural language feedback
- Swarm mode with specialized mutation agents
- Run resume support
- Three bundled examples
- 126 tests (unit + integration + live stubs)
- CLI: run, resume, inspect, validate-task, list-examples0 parents commit ddbce3e
129 files changed
Lines changed: 10207 additions & 0 deletions
File tree
- .github/workflows
- assets
- docs
- examples
- 01_text_compression_poem
- 02_prompt_optimization_sentiment
- 03_python_function_speed
- src/autoevolve
- archive
- artifacts
- engine
- evaluation
- llm
- mutators
- reporting
- strategies
- swarm
- utils
- tests
- fixtures
- prompt_task
- python_task
- integration
- live
- unit
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