Soulter
1df49d1d6f
* stage * refactor: 重构 Function Tool 管理并引入 multi agent handsoff 机制 - Updated `star_request.py` to use the global `call_handler` instead of context-specific calls. - Modified `entities.py` to remove the dependency on `FunctionToolManager` and streamline the function tool handling. - Refactored `func_tool_manager.py` to simplify the `FunctionTool` class and its methods, removing deprecated code and enhancing clarity. - Adjusted `provider.py` to align with the new function tool structure, removing unnecessary type unions. - Enhanced `star_handler.py` to support agent registration and tool association, introducing `RegisteringAgent` for better encapsulation. - Updated `star_manager.py` to handle tool registration for agents, ensuring proper binding of handlers. - Revised `main.py` in the web searcher package to utilize the new agent registration system for web search tools. * chore: websearch * perf: 减少嵌套 * chore: 移除未使用的 mcp 导入
252 lines
8.2 KiB
Python
252 lines
8.2 KiB
Python
from dataclasses import dataclass
|
|
from deprecated import deprecated
|
|
from typing import Awaitable, Literal, Any, Optional
|
|
from .mcp_client import MCPClient
|
|
|
|
|
|
@dataclass
|
|
class FunctionTool:
|
|
"""A class representing a function tool that can be used in function calling."""
|
|
|
|
name: str
|
|
parameters: dict
|
|
description: str
|
|
handler: Awaitable = None
|
|
"""处理函数, 当 origin 为 mcp 时，这个为空"""
|
|
handler_module_path: str = None
|
|
"""处理函数的模块路径，当 origin 为 mcp 时，这个为空
|
|
|
|
必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
|
|
"""
|
|
active: bool = True
|
|
"""是否激活"""
|
|
|
|
origin: Literal["local", "mcp"] = "local"
|
|
"""函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
|
|
|
|
# MCP 相关字段
|
|
mcp_server_name: str = None
|
|
"""MCP 服务名称，当 origin 为 mcp 时有效"""
|
|
mcp_client: MCPClient = None
|
|
"""MCP 客户端，当 origin 为 mcp 时有效"""
|
|
|
|
def __repr__(self):
|
|
return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
|
|
|
|
def __dict__(self) -> dict[str, Any]:
|
|
"""将 FunctionTool 转换为字典格式"""
|
|
return {
|
|
"name": self.name,
|
|
"parameters": self.parameters,
|
|
"description": self.description,
|
|
"active": self.active,
|
|
"origin": self.origin,
|
|
"mcp_server_name": self.mcp_server_name,
|
|
}
|
|
|
|
|
|
class ToolSet:
|
|
"""A set of function tools that can be used in function calling.
|
|
|
|
This class provides methods to add, remove, and retrieve tools, as well as
|
|
convert the tools to different API formats (OpenAI, Anthropic, Google GenAI)."""
|
|
|
|
def __init__(self, tools: list[FunctionTool] = None):
|
|
self.tools: list[FunctionTool] = tools or []
|
|
|
|
def empty(self) -> bool:
|
|
"""Check if the tool set is empty."""
|
|
return len(self.tools) == 0
|
|
|
|
def add_tool(self, tool: FunctionTool):
|
|
"""Add a tool to the set."""
|
|
# 检查是否已存在同名工具
|
|
for i, existing_tool in enumerate(self.tools):
|
|
if existing_tool.name == tool.name:
|
|
self.tools[i] = tool
|
|
return
|
|
self.tools.append(tool)
|
|
|
|
def remove_tool(self, name: str):
|
|
"""Remove a tool by its name."""
|
|
self.tools = [tool for tool in self.tools if tool.name != name]
|
|
|
|
def get_tool(self, name: str) -> Optional[FunctionTool]:
|
|
"""Get a tool by its name."""
|
|
for tool in self.tools:
|
|
if tool.name == name:
|
|
return tool
|
|
return None
|
|
|
|
@deprecated(reason="Use add_tool() instead", version="4.0.0")
|
|
def add_func(self, name: str, func_args: list, desc: str, handler: Awaitable):
|
|
"""Add a function tool to the set."""
|
|
params = {
|
|
"type": "object", # hard-coded here
|
|
"properties": {},
|
|
}
|
|
for param in func_args:
|
|
params["properties"][param["name"]] = {
|
|
"type": param["type"],
|
|
"description": param["description"],
|
|
}
|
|
_func = FunctionTool(
|
|
name=name,
|
|
parameters=params,
|
|
description=desc,
|
|
handler=handler,
|
|
)
|
|
self.add_tool(_func)
|
|
|
|
@deprecated(reason="Use remove_tool() instead", version="4.0.0")
|
|
def remove_func(self, name: str):
|
|
"""Remove a function tool by its name."""
|
|
self.remove_tool(name)
|
|
|
|
@deprecated(reason="Use get_tool() instead", version="4.0.0")
|
|
def get_func(self, name: str) -> list[FunctionTool]:
|
|
"""Get all function tools."""
|
|
return self.get_tool(name)
|
|
|
|
def openai_schema(self, omit_empty_parameter_field: bool = False) -> list[dict]:
|
|
"""Convert tools to OpenAI API function calling schema format."""
|
|
result = []
|
|
for tool in self.tools:
|
|
func_def = {
|
|
"type": "function",
|
|
"function": {
|
|
"name": tool.name,
|
|
"description": tool.description,
|
|
},
|
|
}
|
|
|
|
if tool.parameters.get("properties") or not omit_empty_parameter_field:
|
|
func_def["function"]["parameters"] = tool.parameters
|
|
|
|
result.append(func_def)
|
|
return result
|
|
|
|
def anthropic_schema(self) -> list[dict]:
|
|
"""Convert tools to Anthropic API format."""
|
|
result = []
|
|
for tool in self.tools:
|
|
tool_def = {
|
|
"name": tool.name,
|
|
"description": tool.description,
|
|
"input_schema": {
|
|
"type": "object",
|
|
"properties": tool.parameters.get("properties", {}),
|
|
"required": tool.parameters.get("required", []),
|
|
},
|
|
}
|
|
result.append(tool_def)
|
|
return result
|
|
|
|
def google_schema(self) -> dict:
|
|
"""Convert tools to Google GenAI API format."""
|
|
|
|
def convert_schema(schema: dict) -> dict:
|
|
"""Convert schema to Gemini API format."""
|
|
supported_types = {
|
|
"string",
|
|
"number",
|
|
"integer",
|
|
"boolean",
|
|
"array",
|
|
"object",
|
|
"null",
|
|
}
|
|
supported_formats = {
|
|
"string": {"enum", "date-time"},
|
|
"integer": {"int32", "int64"},
|
|
"number": {"float", "double"},
|
|
}
|
|
|
|
if "anyOf" in schema:
|
|
return {"anyOf": [convert_schema(s) for s in schema["anyOf"]]}
|
|
|
|
result = {}
|
|
|
|
if "type" in schema and schema["type"] in supported_types:
|
|
result["type"] = schema["type"]
|
|
if "format" in schema and schema["format"] in supported_formats.get(
|
|
result["type"], set()
|
|
):
|
|
result["format"] = schema["format"]
|
|
else:
|
|
result["type"] = "null"
|
|
|
|
support_fields = {
|
|
"title",
|
|
"description",
|
|
"enum",
|
|
"minimum",
|
|
"maximum",
|
|
"maxItems",
|
|
"minItems",
|
|
"nullable",
|
|
"required",
|
|
}
|
|
result.update({k: schema[k] for k in support_fields if k in schema})
|
|
|
|
if "properties" in schema:
|
|
properties = {}
|
|
for key, value in schema["properties"].items():
|
|
prop_value = convert_schema(value)
|
|
if "default" in prop_value:
|
|
del prop_value["default"]
|
|
properties[key] = prop_value
|
|
|
|
if properties:
|
|
result["properties"] = properties
|
|
|
|
if "items" in schema:
|
|
result["items"] = convert_schema(schema["items"])
|
|
|
|
return result
|
|
|
|
tools = [
|
|
{
|
|
"name": tool.name,
|
|
"description": tool.description,
|
|
"parameters": convert_schema(tool.parameters),
|
|
}
|
|
for tool in self.tools
|
|
]
|
|
|
|
declarations = {}
|
|
if tools:
|
|
declarations["function_declarations"] = tools
|
|
return declarations
|
|
|
|
@deprecated(reason="Use openai_schema() instead", version="4.0.0")
|
|
def get_func_desc_openai_style(self, omit_empty_parameter_field: bool = False):
|
|
return self.openai_schema(omit_empty_parameter_field)
|
|
|
|
@deprecated(reason="Use anthropic_schema() instead", version="4.0.0")
|
|
def get_func_desc_anthropic_style(self):
|
|
return self.anthropic_schema()
|
|
|
|
@deprecated(reason="Use google_schema() instead", version="4.0.0")
|
|
def get_func_desc_google_genai_style(self):
|
|
return self.google_schema()
|
|
|
|
def names(self) -> list[str]:
|
|
"""获取所有工具的名称列表"""
|
|
return [tool.name for tool in self.tools]
|
|
|
|
def __len__(self):
|
|
return len(self.tools)
|
|
|
|
def __bool__(self):
|
|
return len(self.tools) > 0
|
|
|
|
def __iter__(self):
|
|
return iter(self.tools)
|
|
|
|
def __repr__(self):
|
|
return f"ToolSet(tools={self.tools})"
|
|
|
|
def __str__(self):
|
|
return f"ToolSet(tools={self.tools})"
|