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__init__.py

@@ -0,0 +1,10 @@
+"""KantBench Environment — 90+ game theory games for LLM training."""
+
+from .client import KantBenchEnv
+from .models import KantBenchAction, KantBenchObservation
+
+__all__ = [
+    "KantBenchAction",
+    "KantBenchObservation",
+    "KantBenchEnv",
+]

openenv.yaml

@@ -1,6 +1,7 @@
 spec_version: 1
-name: kant
+name: KantBench
 type: space
 runtime: fastapi
-app: env.app:app
+app: server.app:app
 port: 8000
+

pyproject.toml

@@ -1,37 +1,45 @@
+# 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>=68.0", "wheel"]
-build-backend = "setuptools.backends._legacy:_Backend"
+requires = ["setuptools>=45", "wheel"]
+build-backend = "setuptools.build_meta"
 
 [project]
-name = "openenv-kant"
+name = "openenv-KantBench"
 version = "0.1.0"
-description = "Kant: Game-theory benchmark for AI agents on OpenEnv"
+description = "Kantbench environment for OpenEnv"
 requires-python = ">=3.10"
-license = { text = "BSD-3-Clause" }
 dependencies = [
-    "openenv-core[core]>=0.2.1",
-    "fastapi>=0.115.0",
-    "pydantic>=2.0.0",
-    "uvicorn>=0.24.0",
-    "numpy>=1.24.0",
+    # 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]==0.2.1",
+    # 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>=7.0", "pytest-cov>=4.0", "pytest-asyncio>=0.21.0"]
-gradio = ["gradio>=4.0.0", "matplotlib>=3.7.0"]
-train = ["transformers>=4.40.0", "trl>=0.12.0", "peft>=0.13.0", "datasets>=2.20.0", "accelerate>=0.34.0", "bitsandbytes>=0.43.0", "wandb>=0.18.0"]
-api = ["openai>=1.0.0", "anthropic>=0.30.0"]
-eval = ["lm-eval>=0.4.0", "datasets>=2.20.0"]
-
-[tool.pytest.ini_options]
-testpaths = ["tests"]
-asyncio_mode = "auto"
-
-[tool.ruff]
-line-length = 88
+dev = [
+    "pytest>=8.0.0",
+    "pytest-cov>=4.0.0",
+]
 
-[tool.ruff.lint]
-select = ["E", "F", "I"]
+[project.scripts]
+# Server entry point - enables running via: uv run --project . server
+# or: python -m KantBench.server.app
+server = "KantBench.server.app:main"
 
-[tool.setuptools.packages.find]
-where = ["."]
+[tool.setuptools]
+include-package-data = true
+packages = ["KantBench", "KantBench.server"]
+package-dir = { "KantBench" = ".", "KantBench.server" = "server" }