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Author:
Lakshya A Agrawal
License:
MIT
Summary:
A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search.
Latest version:
0.1.4
Optional dependencies:
build
|
cloudpickle
|
datasets
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docker
|
gepa
|
langchain
|
langchain-core
|
litellm
|
llm-structured-confidence
|
mlflow
|
mlflow-skinny
|
packaging
|
pandas
|
pre-commit
|
pyarrow
|
pydantic
|
pyright
|
pytest
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python-dotenv
|
pyyaml
|
requests
|
ruff
|
semver
|
setuptools
|
swesmith
|
tiktoken
|
tqdm
|
twine
|
wandb
|
wheel
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