deer-flow/src/agents/agents.py

# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
# SPDX-License-Identifier: MIT

from langgraph.prebuilt import create_react_agent

from src.config.agents import AGENT_LLM_MAP
from src.llms.llm import get_llm_by_type
from src.prompts import apply_prompt_template


# Create agents using configured LLM types
def create_agent(
    agent_name: str,
    agent_type: str,
    tools: list,
    prompt_template: str,
    pre_model_hook: callable = None,
):
    """Factory function to create agents with consistent configuration."""
    return create_react_agent(
        name=agent_name,
        model=get_llm_by_type(AGENT_LLM_MAP[agent_type]),
        tools=tools,
        prompt=lambda state: apply_prompt_template(
            prompt_template, state, locale=state.get("locale", "en-US")
        ),
        pre_model_hook=pre_model_hook,
    )