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# agent.py
from llama_index.llms.openai import OpenAI
from llama_index.core.agent.workflow import AgentWorkflow
from llama_index.core.tools import FunctionTool
from langchain_community.tools import DuckDuckGoSearchRun, WikipediaQueryRun
from langchain_experimental.tools.python.tool import PythonREPLTool
from langchain_community.document_loaders import YoutubeLoader
# --- Tool wrappers --- #
def search_duckduckgo(query: str) -> str:
return DuckDuckGoSearchRun().run(query)
def search_wikipedia(query: str) -> str:
return WikipediaQueryRun(api_wrapper=None).run(query)
def run_python(code: str) -> str:
return PythonREPLTool().run(code)
def get_youtube_transcript(url: str) -> str:
loader = YoutubeLoader.from_youtube_url(url, add_video_info=False)
docs = loader.load()
return " ".join(doc.page_content for doc in docs)
# --- Register tools --- #
TOOLS = [
FunctionTool.from_defaults(search_duckduckgo),
FunctionTool.from_defaults(search_wikipedia),
FunctionTool.from_defaults(run_python),
FunctionTool.from_defaults(get_youtube_transcript),
]
# --- Load LLM --- #
llm = OpenAI(model="gpt-4")
# --- Build agent --- #
agent = AgentWorkflow.from_tools_or_functions(
TOOLS,
llm=llm,
system_prompt="You are a helpful AI agent using reasoning and external tools to solve tasks."
)
# --- Async run wrapper --- #
async def answer_question(question: str) -> str:
result = await agent.run(question)
return str(result) |