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| [project] | |
| name = "openenv-sentinel" | |
| version = "0.1.0" | |
| description = "Multi-agent OpenEnv for scalable LLM oversight" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "fastapi>=0.104.0", | |
| "uvicorn[standard]>=0.24.0", | |
| "pydantic>=2.6.0", | |
| "requests>=2.31.0", | |
| "httpx>=0.27.0,<0.29.0", | |
| "openai>=1.58.0", | |
| "python-dotenv>=1.0.0", | |
| "gradio>=5.0.0,<6.0.0", | |
| "openenv-core[core]>=0.2.3", | |
| ] | |
| [project.optional-dependencies] | |
| # Pin set used by the HF Jobs runner (training/grpo_hf_job.py PEP 723 header). | |
| # Keep these in sync with the PINS dict in that file. | |
| train = [ | |
| # torch must be >=2.6 because unsloth_zoo==2026.4.4 requires torchao>=0.13 | |
| # and torchao>=0.13 references torch.int1 (added in torch 2.6). | |
| "torch>=2.6,<2.8", | |
| "unsloth==2026.4.4", | |
| "unsloth_zoo==2026.4.4", | |
| "trl==0.21.0", | |
| # transformers must satisfy unsloth==2026.4.4's allowed list. | |
| # The widest sane window is >4.55.1,<4.57.0; we sit inside that. | |
| "transformers>=4.55.2,<4.57.0", | |
| # vllm 0.6.x only supports torch<=2.5; bumped to track torch 2.6+. | |
| "vllm>=0.7.0,<0.10.0", | |
| # peft must stay <0.19.0: peft 0.19.x imports `EmbeddingParallel` from | |
| # transformers.integrations.tensor_parallel which only exists in | |
| # transformers 4.57+. unsloth==2026.4.4 caps transformers <4.57.0, so peft | |
| # 0.19.x crashes on PeftModel.from_pretrained() during trained-eval load. | |
| "peft>=0.13.0,<0.19.0", | |
| "accelerate>=1.1.0,<2.0.0", | |
| "bitsandbytes>=0.45.0", | |
| "datasets>=2.18.0", | |
| "matplotlib>=3.8.0", | |
| "numpy<2.0", | |
| "huggingface_hub>=0.27.0", | |
| ] | |
| [project.scripts] | |
| server = "server.app:main" | |
| [build-system] | |
| requires = ["setuptools>=68.0"] | |
| build-backend = "setuptools.build_meta" | |
| [tool.setuptools] | |
| package-dir = {"sentinel" = ".", "sentinel.server" = "server"} | |
| packages = ["sentinel", "sentinel.server"] | |