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- from typing import Type, List
- from pydantic import BaseModel, Field
- from sqlalchemy.orm import Session
- from app.core.tools.base_tool import BaseTool
- from app.models.run import Run
- from app.services.file.file import FileService
- class FileContnetToolInput(BaseModel):
- """This tool requires no arguments."""
- pass
- class FileContnetTool(BaseTool):
- name: str = "read_full_file_content"
- description: str = (
- "ONLY trigger this tool when the user explicitly requests to read the COMPLETE or FULL content of an uploaded file. "
- "Key trigger phrases include: '读取全部内容', '显示所有内容', '完整的文件', 'read the full content', 'read all content', 'complete file', 'entire content'. "
- "Critical rules: "
- "1. STRICTLY requires an explicit user command to read everything. Do NOT trigger for summaries, searches, or overviews. "
- "2. This tool is mutually exclusive with 'file_search' or 'file_content_processor'. If this tool is triggered, those must NOT be used. "
- "3. Operates as a strict singleton: ABSOLUTELY ONLY 1 invocation is permitted per user request. "
- "4. MUST confirm that files are available before execution."
- )
- args_schema: Type[BaseModel] = FileContnetToolInput
- def __init__(self) -> None:
- super().__init__()
- self.file_ids = []
- def configure(self, session: Session, run: Run, **kwargs):
- if run.file_ids is not None and len(run.file_ids) > 0:
- self.file_ids = run.file_ids
- def run(self) -> dict:
- files = []
- if self.file_ids is not None and len(self.file_ids) > 0:
- files = FileService.list_chunks(ids=self.file_ids)
- return files
- def instruction_supplement(self) -> str:
- """
- 为 Retrieval 提供文件选择信息,用于 llm 调用抉择
- """
- return ""
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