Pydantic AI
Research Agent with Pydantic AI
Build an autonomous research agent that searches the web, synthesizes findings, and produces structured reports — powered by Pydantic AI.
researchweb searchreportsautomation
Working Code
from pydantic_ai import Agent, RunContext
agent = Agent( "openai:gpt-4o", system_prompt="You are a research assistant. Search the web to gather information, then synthesize findings into a structured report with citations.",)
@agent.toolasync def web_search(ctx: RunContext, query: str, max_results: int = 3) -> str: """Search the web for current information.""" from tavily import TavilyClient client = TavilyClient() results = client.search(query, max_results=max_results) return "\n\n".join( f"**{r['title']}**\n{r['content']}" for r in results["results"] )
result = await agent.run("Compare the latest developments in AI agent frameworks in 2025")print(result.output)Step by Step
1
Install dependencies
Install Pydantic AI and the required tools for this use case.
2
Define your tools
Create the domain-specific tool functions your agent will use to interact with external services.
3
Create the agent and run
Initialize the Pydantic AI agent with your tools, set the system prompt, and execute a query.
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