strix/strix/agents/factory.py

"""``build_strix_agent`` — assemble an ``agents.Agent`` for root or child.

Wires the SDK function tools, multi-agent graph tools, and the rendered
Jinja prompt into one ``agents.Agent`` ready for ``Runner.run``.

Two flavors:

- **Root** (``is_root=True``): top-level scan agent. Carries
  ``finish_scan`` and stops there.
- **Child** (``is_root=False``): subagents spawned by the
  ``create_agent`` graph tool. Carries ``agent_finish`` and stops
  there — without ``stop_at_tool_names`` the SDK loop would keep
  running to ``max_turns`` even after the child reported back.

Skills are baked into the system prompt at scan bring-up; there's no
runtime skill-loading tool.
"""

from __future__ import annotations

import logging
from typing import Any

from agents.agent import StopAtTools
from agents.sandbox import SandboxAgent
from agents.sandbox.capabilities import Filesystem, Shell
from agents.tool import Tool

from strix.agents.prompt import render_system_prompt
from strix.tools.agents_graph.tools import (
    agent_finish,
    agent_status,
    create_agent,
    send_message_to_agent,
    view_agent_graph,
    wait_for_message,
)
from strix.tools.finish.tool import finish_scan
from strix.tools.notes.tools import (
    create_note,
    delete_note,
    get_note,
    list_notes,
    update_note,
)
from strix.tools.proxy.tools import (
    list_requests,
    repeat_request,
    scope_rules,
    send_request,
    view_request,
)
from strix.tools.reporting.tool import create_vulnerability_report
from strix.tools.thinking.tool import think
from strix.tools.todo.tools import (
    create_todo,
    delete_todo,
    list_todos,
    mark_todo_done,
    mark_todo_pending,
    update_todo,
)
from strix.tools.web_search.tool import web_search


logger = logging.getLogger(__name__)


# Host-side Strix tools. Sandbox shell + filesystem are added per-run
# by the SDK via the ``Shell`` and ``Filesystem`` capabilities below
# (they bind to the live sandbox session and emit ``exec_command`` /
# ``write_stdin`` / ``apply_patch`` / ``view_image`` function tools).
_BASE_TOOLS: tuple[Tool, ...] = (
    # Thinking + planning
    think,
    # Per-agent todos
    create_todo,
    list_todos,
    update_todo,
    mark_todo_done,
    mark_todo_pending,
    delete_todo,
    # Shared notes (per-run JSONL store)
    create_note,
    list_notes,
    get_note,
    update_note,
    delete_note,
    # Web search (only registered if PERPLEXITY_API_KEY is set; the
    # tool itself returns a structured error when not configured, so
    # always exposing it is safe)
    web_search,
    # Reporting
    create_vulnerability_report,
    # Caido HTTP/HTTPS proxy
    list_requests,
    view_request,
    send_request,
    repeat_request,
    scope_rules,
    # Multi-agent graph tools (the bus is in ctx.context)
    view_agent_graph,
    agent_status,
    send_message_to_agent,
    wait_for_message,
    create_agent,
)


def build_strix_agent(
    *,
    name: str = "strix",
    skills: list[str] | None = None,
    is_root: bool,
    scan_mode: str = "deep",
    is_whitebox: bool = False,
    interactive: bool = False,
    system_prompt_context: dict[str, Any] | None = None,
) -> SandboxAgent[Any]:
    """Build a ``SandboxAgent`` configured for either root or child use.

    The ``Shell`` and ``Filesystem`` capabilities are added unbound; the
    SDK's runtime binds them per-run against the live sandbox session
    set on ``RunConfig.sandbox`` and merges their tools (``exec_command``,
    ``write_stdin``, ``apply_patch``, ``view_image``) into the agent's
    final tool list. We deliberately exclude ``Compaction`` (OpenAI
    Responses API only).

    Args:
        name: Agent name. Surfaces in traces and the bus's ``names`` map.
            Defaults to ``"strix"`` for the root; create_agent passes
            distinct names per child.
        skills: Skills to preload into the system prompt.
        is_root: Selects the tool list and ``tool_use_behavior``.
            Root carries ``finish_scan`` and stops there; child carries
            ``agent_finish`` and stops there.
        scan_mode: ``"deep"`` etc.; routes the scan-mode skill section
            of the prompt template.
        is_whitebox: Whitebox source-aware mode toggle. Adds two extra
            skills to the prompt and gates whitebox-only behavior in
            the create_agent / wiki integration.
        interactive: Renders the interactive-mode communication block
            in the system prompt.
        system_prompt_context: Free-form dict the prompt template
            renders into the ``system_prompt_context`` variable —
            today carries the scan scope / authorization block.
    """
    instructions = render_system_prompt(
        skills=skills,
        scan_mode=scan_mode,
        is_whitebox=is_whitebox,
        interactive=interactive,
        system_prompt_context=system_prompt_context,
    )

    if is_root:
        tools: list[Tool] = [*_BASE_TOOLS, finish_scan]
        stop_at = ("finish_scan",)
    else:
        tools = [*_BASE_TOOLS, agent_finish]
        stop_at = ("agent_finish",)

    return SandboxAgent(
        name=name,
        instructions=instructions,
        tools=tools,
        tool_use_behavior=StopAtTools(stop_at_tool_names=list(stop_at)),
        # model=None so ``RunConfig.model`` drives provider selection
        # via :func:`build_multi_provider` rather than the SDK's default.
        model=None,
        capabilities=[Filesystem(), Shell()],
    )


def make_child_factory(
    *,
    scan_mode: str = "deep",
    is_whitebox: bool = False,
    interactive: bool = False,
    system_prompt_context: dict[str, Any] | None = None,
) -> Any:
    """Return a callable suitable for ``ctx.context['agent_factory']``.

    The ``create_agent`` graph tool reads
    ``ctx.context['agent_factory']`` and calls it with ``name=`` and
    ``skills=`` to build a child ``Agent``. Run-level arguments
    (``scan_mode``, ``is_whitebox``, etc.) are captured in a closure so
    each child inherits the scan-level configuration without
    ``create_agent`` having to know about them.
    """

    def _factory(*, name: str, skills: list[str]) -> SandboxAgent[Any]:
        return build_strix_agent(
            name=name,
            skills=skills,
            is_root=False,
            scan_mode=scan_mode,
            is_whitebox=is_whitebox,
            interactive=interactive,
            system_prompt_context=system_prompt_context,
        )

    return _factory