agent.py

# agent.py
from langchain_ollama.chat_models import ChatOllama
from langchain_core.messages import HumanMessage, ToolMessage
from tools.wiki import wikipedia_search_tool
import re, ast
from configs.config import Config
from configs.registry import TOOL_REGISTRY

# Define Variables
env = Config()
llm = env.LOCAL_LLM

tools_registery = TOOL_REGISTRY

def generate_prompt(query: str) -> str:
    tool_list = "\n".join(
        f"- {name}: {meta['description']}" for name, meta in tools_registery.items()
    )

    return f"""
    You are a smart assistant that decides which tool to use based on user queries.

    User Query: "{query}"

    Available tools:
    {tool_list}

    Respond in this format:
    Tool: [tool_name]
    Tool Input: [Python dict of parameters]
    """

def parse_tool_selection(response: str) -> tuple[str, dict]:
    tool_match = re.search(r"Tool:\s*(\w+)", response)
    input_match = re.search(r"Tool Input:\s*(\{.*\})", response)

    if not tool_match or not input_match:
        raise ValueError("Failed to parse tool selection.")

    tool_name = tool_match.group(1)
    tool_input = ast.literal_eval(input_match.group(1))
    return tool_name, tool_input

def main(query: str = None):
    user_query = query.strip()

    # 1. Generate selection prompt
    prompt = generate_prompt(user_query)
    response = llm.invoke([HumanMessage(content=prompt)])

    # 2. Parse tool selection
    try:
        tool_name, tool_input = parse_tool_selection(response.content)
    except Exception as e:
        print("Error parsing tool selection:", e)
        print("LLM response was:", response.content)
        return

    # 3. Run selected tool
    tool_entry = tools_registery.get(tool_name)
    if not tool_entry:
        print(f"Tool '{tool_name}' not found.")
        return

    tool = tool_entry["tool"]

    try:
        result = tool.invoke(tool_input)
    except Exception as e:
        print(f"Error running tool '{tool_name}': {e}")
        return

    print("Final Answer:", result.content)

if __name__ == "__main__":
    query = "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of English Wikipedia."
    main(query)