102 lines
4.0 KiB
Python
102 lines
4.0 KiB
Python
from typing import List, Literal, Optional
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from fastapi import APIRouter, Body, HTTPException
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from pydantic import BaseModel, Field
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from memgpt.models.pydantic_models import ToolModel
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from memgpt.server.rest_api.interface import QueuingInterface
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from memgpt.server.server import SyncServer
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router = APIRouter()
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class ListToolsResponse(BaseModel):
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tools: List[ToolModel] = Field(..., description="List of tools (functions).")
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class CreateToolRequest(BaseModel):
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name: str = Field(..., description="The name of the function.")
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source_code: str = Field(..., description="The source code of the function.")
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source_type: Optional[Literal["python"]] = Field(None, description="The type of the source code.")
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tags: Optional[List[str]] = Field(None, description="Metadata tags.")
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class CreateToolResponse(BaseModel):
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tool: ToolModel = Field(..., description="Information about the newly created tool.")
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def setup_tools_index_router(server: SyncServer, interface: QueuingInterface, password: str):
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# get_current_user_with_server = partial(partial(get_current_user, server), password)
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@router.delete("/tools/{tool_name}", tags=["tools"])
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async def delete_tool(
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tool_name: str,
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# user_id: uuid.UUID = Depends(get_current_user_with_server), # TODO: add back when user-specific
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):
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"""
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Delete a tool by name
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"""
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# Clear the interface
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interface.clear()
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# tool = server.ms.delete_tool(user_id=user_id, tool_name=tool_name) TODO: add back when user-specific
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server.ms.delete_tool(name=tool_name)
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@router.get("/tools/{tool_name}", tags=["tools"], response_model=ToolModel)
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async def get_tool(tool_name: str):
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"""
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Get a tool by name
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"""
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# Clear the interface
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interface.clear()
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# tool = server.ms.get_tool(user_id=user_id, tool_name=tool_name) TODO: add back when user-specific
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tool = server.ms.get_tool(tool_name=tool_name)
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if tool is None:
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# return 404 error
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raise HTTPException(status_code=404, detail=f"Tool with name {tool_name} not found.")
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return tool
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@router.get("/tools", tags=["tools"], response_model=ListToolsResponse)
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async def list_all_tools(
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# user_id: uuid.UUID = Depends(get_current_user_with_server), # TODO: add back when user-specific
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):
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"""
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Get a list of all tools available to agents created by a user
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"""
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# Clear the interface
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interface.clear()
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# tools = server.ms.list_tools(user_id=user_id) TODO: add back when user-specific
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tools = server.ms.list_tools()
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return ListToolsResponse(tools=tools)
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@router.post("/tools", tags=["tools"], response_model=ToolModel)
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async def create_tool(
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request: CreateToolRequest = Body(...),
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# user_id: uuid.UUID = Depends(get_current_user_with_server), # TODO: add back when user-specific
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):
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"""
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Create a new tool (dummy route)
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"""
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from memgpt.functions.functions import load_function_file, write_function
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# check if function already exists
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if server.ms.get_tool(request.name):
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raise ValueError(f"Tool with name {request.name} already exists.")
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# write function to ~/.memgt/functions directory
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file_path = write_function(request.name, request.name, request.source_code)
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# TODO: Use load_function_file to load function schema
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schema = load_function_file(file_path)
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assert len(list(schema.keys())) == 1, "Function schema must have exactly one key"
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json_schema = list(schema.values())[0]["json_schema"]
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print("adding tool", request.name, request.tags, request.source_code)
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tool = ToolModel(name=request.name, json_schema=json_schema, tags=request.tags, source_code=request.source_code)
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tool.id
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server.ms.add_tool(tool)
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# TODO: insert tool information into DB as ToolModel
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return server.ms.get_tool(request.name)
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return router
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