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https://huggingface.co/datasets/PrimeIntellect/general-agent/resolve/main/general_agent/servers/toolset.py
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curl -L -o toolset.py https://huggingface.co/datasets/PrimeIntellect/general-agent/resolve/main/general_agent/servers/toolset.py
3.16 kB
| """The per-task tool server. | |
| Unlike a normal `vf.Toolset` (one fixed set of `@vf.tool` methods), each general-agent task ships | |
| its own `tools.py` with a different tool set. The server's lifecycle runs `setup_task` (which loads | |
| that task's `tools.py`) before `_register`, so the tools are known by registration time: `setup_task` | |
| builds the live `TaskTools`, and `_register` advertises each of its methods over MCP. Every call | |
| mutates the live `TaskDB`; the mutated DB is pushed onto `self.state` so the task's reward can hash | |
| it against the gold solution. | |
| """ | |
| from __future__ import annotations | |
| import inspect | |
| import json | |
| import tempfile | |
| from pathlib import Path | |
| from typing import Callable | |
| import verifiers.v1 as vf | |
| from general_agent.common import GeneralAgentState, GeneralAgentToolsetConfig | |
| from general_agent.corpus import load_task_attrs | |
| class GeneralAgentToolset(vf.Toolset[GeneralAgentToolsetConfig, GeneralAgentState]): | |
| TOOL_PREFIX = "tools" # the model sees `tools_<name>` for each of the task's tools | |
| async def setup_task(self, task) -> None: | |
| task_dir = self._task_dir(task) | |
| task_db, task_tools = load_task_attrs(task_dir, "TaskDB", "TaskTools") | |
| if task_db is None or task_tools is None: | |
| raise ValueError(f"tools.py must define TaskDB and TaskTools: {task_dir}") | |
| self._tools = task_tools(task_db.load(task_dir / "db.json")) | |
| def _task_dir(task) -> Path: | |
| """Where this rollout's `tools.py` + `db.json` live in *this* runtime. Own-host: the host | |
| cache (`task.dir`). Colocated in a sandbox: that host path isn't here (and the corpus repo | |
| is private), so materialize the files shipped with the task over `/task` into a temp dir.""" | |
| task_dir = Path(task.dir) | |
| if (task_dir / "tools.py").exists(): | |
| return task_dir | |
| if not task.files: | |
| raise RuntimeError( | |
| f"task dir {task_dir} not present in this runtime and no files were shipped with " | |
| "the task — the corpus is host-side, so the toolset can't load it here" | |
| ) | |
| tmp = Path(tempfile.mkdtemp(prefix=f"ga-{task.name}-")) | |
| for name, content in task.files.items(): | |
| (tmp / name).write_text(content) | |
| return tmp | |
| def register(self, mcp) -> None: | |
| for name, method in sorted(self._tools.tool_methods.items()): | |
| mcp.add_tool( | |
| self._with_state(self._make_tool(name, method)), | |
| name=name, | |
| description=(method.__doc__ or "").strip() or None, | |
| ) | |
| def _make_tool(self, name: str, method: Callable) -> Callable: | |
| async def call(**kwargs): | |
| result = method(**kwargs) # mutates the live TaskDB | |
| self.state.db = self._tools.db.model_dump(mode="json") | |
| return result if isinstance(result, str) else json.dumps(result, default=str) | |
| call.__name__ = name | |
| call.__doc__ = method.__doc__ | |
| call.__signature__ = inspect.signature(method).replace(return_annotation=str) | |
| return call | |
| if __name__ == "__main__": | |
| GeneralAgentToolset.run() | |