Email Assistant with Pydantic AI

from pydantic_ai import Agent, RunContext

agent = Agent(
    "openai:gpt-4o",
    system_prompt="You are an email assistant. Search emails to find context, then help draft professional replies. Always create drafts — never send directly.",
)

@agent.tool
async def search_emails(ctx: RunContext, query: str, limit: int = 5) -> str:
    """Search the inbox for emails matching a query."""
    results = await email_client.search(query, max_results=limit)
    return "\n\n".join(
        f"From: {e.sender}\nSubject: {e.subject}\nDate: {e.date}\nPreview: {e.body[:200]}"
        for e in results
    )

@agent.tool
async def draft_email(ctx: RunContext, to: str, subject: str, body: str) -> str:
    """Create an email draft."""
    draft_id = await email_client.create_draft(to=to, subject=subject, body=body)
    return f"Draft created (ID: {draft_id}). Review before sending."

result = await agent.run("Find the latest email from the marketing team and draft a reply confirming the deadline")
print(result.output)