File size: 2,799 Bytes
82bf89e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | # 处理相对导入
try:
from ..tools.pubmed_search_agent import (
article_search_agent,
)
except ImportError:
# 如果相对导入失败,尝试绝对导入
from tools.pubmed_search_agent import (
article_search_agent,
)
from typing import List, Optional, Any, Callable
from dataclasses import dataclass
from pydantic import BaseModel, Field
class ToolAgentOutput(BaseModel):
"""Standard output for all tool agents"""
output: str
sources: list[str] = Field(default_factory=list)
class TaskManagerToolAgentstatus(BaseModel):
# output: str = Field(description="return tool run result directly as final output")
status_code: int = Field(
description="201 if the tool ran successfully, 501 if there was an error or it returned None or Error"
)
class TaskData(BaseModel):
code: int = Field(
description="HTTP-like status code: 200 if the tool ran successfully, 501 if there was an error or it returned None or Error"
)
message: str = Field(required=False)
thinking: str = Field(required=False, description="thinking of the tool")
class TaskManagerToolAgentOutput(TaskManagerToolAgentstatus):
# output: str = Field(description="return tool run result directly as final output")
# status_code: int = Field(description="HTTP-like status code: 200 if the tool ran successfully, 400 if there was an error or it returned None or Error")
data: TaskData = Field(
description="HTTP-like status code: 200 if the tool ran successfully, 501 if there was an error or it returned None or Error"
)
class ReportDraftSection(BaseModel):
"""A section of the report that needs to be written"""
section_title: str = Field(description="The title of the section")
section_content: str = Field(description="The content of the section")
class ReportDraft(BaseModel):
"""Output from the Report Planner Agent"""
sections: List[ReportDraftSection] = Field(
description="List of sections that are in the report"
)
class QaRequest(BaseModel):
"""Request model for QA"""
query: str = Field(description="The query string for the QA")
is_web: bool = Field(default=False, description="Whether the query is for web search")
TOOL_AGENTS = {
"ArticleSearchAgent": article_search_agent,
}
@dataclass
class InputCallbackTool:
thoughts_callback: Optional[Callable[[str], Any]] = None
"""callback of thinking ."""
results_callback: Optional[Callable[[str], Any]] = None
"""callback of results"""
u_id: Optional[str] = ""
"""user_id"""
c_id: Optional[str] = None
"""chat_id"""
is_pkb: Optional[bool] = False
"""whether to search personal knowledge base"""
@property
def name(self):
return "callback"
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