See your AI agents.

billing = Agent(
    "openai:gpt-5-mini",
    name="billing",
    toolsets=[crm.prefixed("crm")],
)

tech = Agent(
    "anthropic:claude-sonnet-5-5",
    name="tech",
    tools=[Tool(status_page, takes_ctx=False)],
    toolsets=[help_center],  # MCPToolset
    capabilities=[
        NativeTool(WebSearchTool()),
        Thinking(effort="medium"),
    ],
)

triage = Agent("openai:gpt-5", name="triage")

@triage.tool
async def ask_billing(ctx, question: str) -> str:
    # an agent run inside a tool: delegation
    r = await billing.run(question, deps=ctx.deps)
    return r.output

@tool
def plot(path: str, x: str, y: str) -> str:
    """Draw a line chart and return the image path."""

web_researcher = ToolCallingAgent(
    tools=[WebSearchTool(), VisitWebpageTool()],
    model=model,
    name="web_researcher",
    description="Searches the web, reads pages.",
)

analyst = CodeAgent(
    tools=[CsvSummary(), plot],
    model=model,
    name="analyst",
    description="Analyses CSV data.",
)

papers = StdioServerParameters(command="uvx", ...)

with ToolCollection.from_mcp(papers, ...) as arxiv:
    lead = CodeAgent(
        tools=[*arxiv.tools],
        model=model,
        managed_agents=[web_researcher, analyst],
    )

The diagram also reads tools.py, escalation.py and flow.py. Full source