Cyber_analyst-round1 / pyproject.toml
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feat: implement core RL training infrastructure, including GRPO training, evaluation utilities, custom environments, and Modal-based execution scripts.
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "openenv-CyberSecurity_OWASP"
version = "0.1.0"
description = "Cybersecurity Owasp environment for OpenEnv"
requires-python = ">=3.10"
dependencies = [
# Core OpenEnv runtime (provides FastAPI server + HTTP client types)
# install from github
# "openenv-core[core] @ git+https://github.com/meta-pytorch/OpenEnv.git",
"openenv-core[core]>=0.2.2",
# Environment-specific dependencies
# Add all dependencies needed for your environment here
# Examples:
# "numpy>=1.19.0",
# "torch>=2.0.0",
# "gymnasium>=0.29.0",
# "openspiel>=1.0.0",
# "smolagents>=1.22.0,<2",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-cov>=4.0.0",
]
modal = [
"modal>=1.1.0",
]
[project.scripts]
# Server entry point - enables running via: uv run --project . server
# or: python -m CyberSecurity_OWASP.server.app
server = "CyberSecurity_OWASP.server.app:main"
[tool.setuptools]
include-package-data = true
packages = ["CyberSecurity_OWASP", "CyberSecurity_OWASP.server"]
package-dir = { "CyberSecurity_OWASP" = ".", "CyberSecurity_OWASP.server" = "server" }