Pydantic AI
Content Generation Agent with Pydantic AI
Build an AI content generation agent that researches topics, writes blog posts and social media content with consistent brand voice — using Pydantic AI.
contentblogsocial mediawriting
Working Code
from pydantic_ai import Agent, RunContext
agent = Agent( "openai:gpt-4o", system_prompt="You are a content writer. Research the topic first, then write engaging content. Save the final output using save_content.",)
@agent.toolasync def web_search(ctx: RunContext, query: str) -> str: """Research a topic before writing content.""" from tavily import TavilyClient client = TavilyClient() results = client.search(query, max_results=3) return "\n\n".join(r["content"] for r in results["results"])
@agent.toolasync def save_content(ctx: RunContext, filename: str, content: str) -> str: """Save generated content to a file.""" Path(f"output/{filename}").write_text(content) return f"Saved to output/{filename}"
result = await agent.run("Write a blog post about the benefits of AI agents in customer service")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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