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import os
import logfire
from pydantic_ai import Agent
from google import genai
from google.genai import types
logfire.configure()
logfire.instrument_pydantic_ai()
def web_search_tool(question: str) -> str | None:
"""Given a question only, search the web to answer the question.
Args:
question (str): Question to answer
Returns:
str: Answer to the question
Raises:
RuntimeError: If processing fails"""
try:
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
response = client.models.generate_content(
model="gemini-2.5-flash-preview-05-20",
contents=question,
config=types.GenerateContentConfig(
tools=[types.Tool(google_search=types.GoogleSearch())]
)
)
return response.text
except Exception as e:
raise RuntimeError(f"Processing failed: {str(e)}") from e
def youtube_analysis_tool(question: str, url: str) -> str | None:
"""Given a question and YouTube URL, analyze the video to answer the question.
Args:
question (str): Question about a YouTube video
url (str): The YouTube URL
Returns:
str: Answer to the question about the YouTube video
Raises:
RuntimeError: If processing fails"""
try:
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
response = client.models.generate_content(
model="gemini-2.5-flash-preview-05-20",
contents=types.Content(
parts=[types.Part(file_data=types.FileData(file_uri=url)),
types.Part(text=question)]
)
)
return response.text
except Exception as e:
raise RuntimeError(f"Processing failed: {str(e)}") from e
class BasicAgent:
def __init__(self):
self.agent = Agent(
"gemini-2.5-flash-preview-05-20",
tools=[web_search_tool, youtube_analysis_tool],
system_prompt="You are a helpful assistant that can answer questions about the world.",
)
def __call__(self, question: str) -> str:
print(f"Agent received question (first 50 chars): {question[:50]}...")
result = self.agent.run_sync(question).output
print(f"Agent returning fixed answer: {result}")
return result
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