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# Copyright 2023-2024 SGLang Team
# Copyright 2025 ModelBest Inc. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import os
from typing import Any, Optional, Tuple
from uuid import uuid4
from verl.utils.reward_score import gsm8k
from .base_tool import BaseTool
from .schemas import OpenAIFunctionToolSchema
logger = logging.getLogger(__name__)
logger.setLevel(os.getenv("VERL_LOGGING_LEVEL", "WARN"))
class Gsm8kTool(BaseTool):
"""A demo tool for calculating the reward of gsm8k.
- `to_openai_function_tool_schema`: return the tool schema in OpenAI format.
- `create`: create a tool instance for a trajectory.
- `execute`: execute the tool.
- `calc_reward`: calculate the reward respect to tool state.
- `release`: release the tool instance.
"""
def __init__(self, config: dict, tool_schema: OpenAIFunctionToolSchema):
"""
_tool_schema = OpenAIFunctionToolSchema.model_validate({
"type": "function",
"function": {
"name": "calc_gsm8k_reward",
"description": "A tool for calculating the reward of gsm8k",
"parameters": {
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The answer to the question",
},
},
"required": ["answer"],
},
}
})
"""
super().__init__(config, tool_schema)
self._instance_dict = {}
def get_openai_tool_schema(self) -> OpenAIFunctionToolSchema:
return self.tool_schema
async def create(self, instance_id: Optional[str] = None, ground_truth: Optional[str] = None, **kwargs) -> str:
if instance_id is None:
instance_id = str(uuid4())
self._instance_dict[instance_id] = {
"response": "",
"ground_truth": ground_truth,
"reward": 0.0,
}
return instance_id
async def execute(self, instance_id: str, parameters: dict[str, Any], **kwargs) -> Tuple[str, float, dict]:
answer = parameters.get("answer", "")
if not isinstance(answer, str):
answer = str(answer)
if answer.startswith("#### "):
self._instance_dict[instance_id]["response"] = answer
else:
self._instance_dict[instance_id]["response"] = "#### " + answer
reward = await self.calc_reward(instance_id)
# penalty for non improved answer submission
tool_reward = 0.0 if reward > self._instance_dict[instance_id]["reward"] else -0.05
# update the reward
self._instance_dict[instance_id]["reward"] = reward
return f"Current parsed {answer=} {reward=}", tool_reward, {}
async def calc_reward(self, instance_id: str, **kwargs) -> float:
return gsm8k.compute_score(
self._instance_dict[instance_id]["response"],
self._instance_dict[instance_id]["ground_truth"],
method="flexible",
format_score=0.0,
score=1.0,
)
async def release(self, instance_id: str, **kwargs) -> None:
del self._instance_dict[instance_id]
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