[build-system] requires = ["hatchling"] build-backend = "hatchling.build" [project] name = "sre-engineer-llm" version = "3.1.0" description = "Tier-escalating SRE training environment. Basic ships 12 base templates with 5 procgen variants each (72 scenarios) as a runnable RL env; Advanced and Max ship as runnable Python orchestrators that approximate larger designs documented in their YAMLs. Training pipeline ships runnable in notebooks/01 but is not yet executed in this repo. See README.md and docs/ARCHITECTURE.md for the full state." readme = "README.md" requires-python = ">=3.10" dependencies = [ "openenv-core>=0.2.1", "fastapi>=0.115.0", "uvicorn[standard]>=0.30.0", "pydantic>=2.8.0", "httpx>=0.27.0", "openai>=1.0.0", "websockets>=12.0", "rich>=13.0.0", "matplotlib>=3.9.0", "numpy>=2.0.0", "pyyaml>=6.0", "pandas>=2.0.0" ] [project.optional-dependencies] dev = [ "pytest>=8.0.0", "pytest-asyncio>=0.23.0" ] train = [ "datasets>=3.0", "transformers>=4.46", "peft>=0.13", "accelerate>=1.1", "trl>=0.12.0", "anthropic>=0.40.0" ] [project.scripts] server = "server.app:main" baseline = "unified_incident_env.scripts.baseline_agent:main" walkthrough = "unified_incident_env.scripts.walkthrough:main" trainer-run-episode = "unified_incident_env.trainer.run_episode:main" trainer-build-dataset = "unified_incident_env.trainer.build_sft_dataset:main" trainer-eval-models = "unified_incident_env.trainer.eval_models:main" trainer-build-datasets = "unified_incident_env.trainer.build_datasets:main" trainer-update-model = "unified_incident_env.trainer.update_model:main" trainer-run-session = "unified_incident_env.trainer.run_session:main" trainer-train-external = "unified_incident_env.trainer.train_external:main" [tool.hatch.build.targets.wheel] packages = ["sre_gym", "unified_incident_env", "server"] include = [ "sre_gym/advanced/scenarios/*.yaml", "sre_gym/max/families/*.yaml", "sre_gym/max/chaos/*.yaml", "sre_gym/max/compose/*.yaml", ]