Forked subagents

from deepagents import create_deep_agent


def read_logs(path: str) -> str:
    """Read a log file."""
    return f"logs from {path}"


incident_responder = {
    "name": "incident-responder",
    "description": "Continues an in-progress incident investigation and drafts the postmortem",
    "mode": "fork",
    "tools": [read_logs],
}

agent = create_deep_agent(
    model="claude-sonnet-4-6",
    tools=[read_logs],
    subagents=[incident_responder],
)

# The parent has already been investigating for several turns before
# delegating -- the fork continues with that full history, not a blank slate.
result = agent.invoke(
    {
        "messages": [
            {"role": "user", "content": "Investigate the outage in payment-service"},
            {
                "role": "assistant",
                "content": "Found a spike in 500s starting 14:02 UTC, tied to deploy a1b2c3d.",
            },
            {"role": "user", "content": "Hand this off to incident-responder to draft the postmortem"},
        ]
    }
)

from deepagents import CompiledSubAgent, create_deep_agent
from langchain.agents import create_agent


def read_logs(path: str) -> str:
    """Read a log file."""
    return f"logs from {path}"


# A prebuilt graph with its own system prompt -- forking inherits the
# parent's message history only, not its system prompt.
incident_graph = create_agent(
    model="claude-sonnet-4-6",
    tools=[read_logs],
    system_prompt="You are an incident postmortem writer.",
)

incident_responder = CompiledSubAgent(
    name="incident-responder",
    description="Continues an in-progress incident investigation and drafts the postmortem",
    runnable=incident_graph,
    mode="fork",
)

agent = create_deep_agent(
    model="claude-sonnet-4-6",
    tools=[read_logs],
    subagents=[incident_responder],
)