99 lines
4.0 KiB
Python
99 lines
4.0 KiB
Python
import uuid
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from functools import partial
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from typing import List
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from fastapi import APIRouter, Depends, Body, HTTPException
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from pydantic import BaseModel, Field
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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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from memgpt.server.rest_api.auth_token import get_current_user
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from memgpt.data_types import AgentState
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from memgpt.models.pydantic_models import LLMConfigModel, EmbeddingConfigModel, AgentStateModel
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router = APIRouter()
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class ListAgentsResponse(BaseModel):
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num_agents: int = Field(..., description="The number of agents available to the user.")
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agents: List[dict] = Field(..., description="List of agent configurations.")
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class CreateAgentRequest(BaseModel):
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config: dict = Field(..., description="The agent configuration object.")
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class CreateAgentResponse(BaseModel):
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agent_state: AgentStateModel = Field(..., description="The state of the newly created agent.")
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def setup_agents_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.get("/agents", tags=["agents"], response_model=ListAgentsResponse)
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def list_agents(
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user_id: uuid.UUID = Depends(get_current_user_with_server),
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):
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"""
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List all agents associated with a given user.
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This endpoint retrieves a list of all agents and their configurations associated with the specified user ID.
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"""
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interface.clear()
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agents_data = server.list_agents(user_id=user_id)
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return ListAgentsResponse(**agents_data)
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@router.post("/agents", tags=["agents"], response_model=CreateAgentResponse)
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def create_agent(
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request: CreateAgentRequest = Body(...),
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user_id: uuid.UUID = Depends(get_current_user_with_server),
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):
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"""
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Create a new agent with the specified configuration.
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"""
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interface.clear()
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try:
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try:
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agent_state = server.create_agent(
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user_id=user_id,
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# **request.config
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# TODO turn into a pydantic model
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name=request.config["name"],
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preset=request.config["preset"] if "preset" in request.config else None,
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persona=request.config["persona_text"] if "persona_text" in request.config else None,
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human=request.config["human_text"] if "human_text" in request.config else None,
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# llm_config=LLMConfigModel(
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# model=request.config['model'],
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# )
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function_names=request.config["function_names"].split(",") if "function_names" in request.config else None,
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)
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except:
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print(f"Failed to create agent from provided config:\n{request.config}")
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raise
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llm_config = LLMConfigModel(**vars(agent_state.llm_config))
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embedding_config = EmbeddingConfigModel(**vars(agent_state.embedding_config))
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return CreateAgentResponse(
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agent_state=AgentStateModel(
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id=agent_state.id,
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name=agent_state.name,
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user_id=agent_state.user_id,
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preset=agent_state.preset,
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persona=agent_state.persona,
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human=agent_state.human,
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llm_config=llm_config,
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embedding_config=embedding_config,
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state=agent_state.state,
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created_at=int(agent_state.created_at.timestamp()),
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functions_schema=agent_state.state["functions"], # TODO: this is very error prone, jsut lookup the preset instead
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)
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)
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# return CreateAgentResponse(
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# agent_state=AgentStateModel(
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# )
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except Exception as e:
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print(str(e))
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raise HTTPException(status_code=500, detail=str(e))
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return router
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