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70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
# Copyright 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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import aiohttp
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from transformers.utils import get_json_schema
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from verl.tools.base_tool import BaseTool, OpenAIFunctionToolSchema, ToolResponse
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class SandboxTool(BaseTool):
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def __init__(self, config: dict, tool_schema: OpenAIFunctionToolSchema):
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super().__init__(config, tool_schema)
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# Different model may use different code pattern, e.g. python, py, etc.
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self.code_pattern = re.compile(r"```py(.*?)```", re.DOTALL)
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async def code_interpreter(self, code: str) -> str:
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"""Execute the code in the sandbox.
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Args:
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code: The code to be executed.
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Returns:
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str: The output of the code execution.
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"""
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async with aiohttp.ClientSession() as session:
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async with session.post(
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self.config.get("sandbox_fusion_url"),
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json={"code": code},
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) as resp:
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resp.raise_for_status()
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result = await resp.json()
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stdout, stderr = result["run_result"]["stdout"], result["run_result"]["stderr"]
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return stdout + stderr
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def get_openai_tool_schema(self) -> OpenAIFunctionToolSchema:
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schema = get_json_schema(self.code_interpreter)
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return OpenAIFunctionToolSchema(**schema)
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async def execute(self, instance_id: str, parameters: dict, **kwargs) -> tuple[str, float, dict]:
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code = parameters["code"]
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matches = self.code_pattern.findall(code)
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if matches:
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code = matches[0].strip()
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# NOTE: Some script may not explicitly print result, we need to add a print statement to the end of the script.
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# More better way is to SFT the model to make it print result by default, we skip SFT stage in this tutorial.
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lines = code.split("\n")
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for i, line in reversed(list(enumerate(lines))):
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if line == "":
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continue
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if not lines[i].startswith("print"):
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lines[i] = f"print({line})"
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break
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code = "\n".join(lines)
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result = await self.code_interpreter(code)
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return ToolResponse(text=result), 0.0, {}
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