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79 lines (73 loc) · 1.99 KB
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[project]
name = "adaptive-auto-harness"
version = "0.1.0"
description = "Adaptive Auto-Harness: stateful multi-agent evolution and solve-time routing for LLM agents on open-ended task streams."
readme = "README.md"
license = "MIT"
requires-python = ">=3.11"
authors = [
{ name = "Anonymous", email = "anon@anon.invalid" },
]
keywords = [
"agent-evolution",
"self-improving-agents",
"agentic-ai",
"llm",
"prompt-optimization",
"benchmark",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"matplotlib>=3.10.0",
"pyyaml>=6.0",
]
[project.optional-dependencies]
bedrock = ["boto3>=1.34"]
openai = ["openai>=1.30"]
litellm = ["litellm>=1.0.0"]
swe = ["strands-agents>=0.1.0", "datasets>=4.5.0", "boto3>=1.34", "swebench>=3.0.0"]
mcp = ["mcp>=1.0.0", "strands-agents>=0.1.0", "datasets>=4.5.0", "boto3>=1.34", "litellm>=1.0.0"]
skillbench = ["strands-agents>=0.1.0", "boto3>=1.34"]
gepa = ["gepa>=0.1.0"]
all = [
"openai>=1.30",
"boto3>=1.34",
"datasets>=4.5.0",
"strands-agents>=0.1.0",
"mcp>=1.0.0",
"litellm>=1.0.0",
"swebench>=3.0.0",
"gepa>=0.1.0",
]
dev = ["pytest>=8.0", "ruff>=0.5", "hypothesis>=6.0"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["agent_evolve"]
[tool.hatch.build.targets.wheel.force-include]
"seed_workspaces" = "seed_workspaces"
[tool.hatch.build.targets.sdist]
include = [
"/agent_evolve",
"/experiments",
"/scripts",
"/seed_workspaces",
"/data",
"/tests",
"/README.md",
"/INSTALL.md",
"/.env.template",
]
[tool.ruff]
target-version = "py311"
line-length = 100