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95 lines
3.7 KiB
Python
95 lines
3.7 KiB
Python
"""Rendering for the shell tool-calling turn.
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This module owns the terminal-facing action observer. Planner tool calls are
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internal state by default: the observer records them for history/storage while
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the concrete action executors render user-facing command output. The execution
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orchestration that drives it lives in
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:func:`interactive_shell.runtime.action_turn.run_action_tool_turn`.
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Keeping rendering here means the shell turn-entry adapter stays focused on
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binding core ports while terminal formatting stays in ``ui/``.
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"""
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from __future__ import annotations
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import contextlib
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import json
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from typing import Any
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from rich.console import Console
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from core.agent_harness.turns.action_driver import SELF_RECORDING_ACTION_TOOL_NAMES
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from surfaces.interactive_shell.runtime import Session
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# Tools whose preview is just ``(label, single-arg)``. The display content is the
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# stripped string value of that single argument. Anything that needs to combine
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# multiple arguments (``slash_invoke``, ``synthetic_run``) keeps a custom branch
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# in :func:`tool_call_display`.
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_SIMPLE_TOOL_LABELS: dict[str, tuple[str, str]] = {
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"llm_set_provider": ("LLM provider", "target"),
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"alert_sample": ("sample alert", "template"),
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"investigation_start": ("investigation", "alert_text"),
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"task_cancel": ("cancel task", "target"),
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"cli_exec": ("opensre", "payload"),
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"code_implement": ("implementation", "task"),
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"shell_run": ("shell", "command"),
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}
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def tool_call_display(tool_name: str, args: dict[str, Any]) -> tuple[str, str]:
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"""Return a ``(label, content)`` pair describing a planned tool call."""
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if tool_name == "slash_invoke":
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command = str(args.get("command", "")).strip()
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raw_args = args.get("args")
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parsed_args = [str(item).strip() for item in raw_args] if isinstance(raw_args, list) else []
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return "command", " ".join([command, *parsed_args]).strip()
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if tool_name == "synthetic_run":
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suite = str(args.get("suite", "")).strip()
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scenario = str(args.get("scenario", "")).strip()
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return "synthetic test", f"{suite}:{scenario}" if scenario else suite
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simple = _SIMPLE_TOOL_LABELS.get(tool_name)
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if simple is not None:
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label, arg_key = simple
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return label, str(args.get(arg_key, "")).strip()
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return tool_name, json.dumps(args, default=str, sort_keys=True)
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class ActionRenderObserver:
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"""Agent event observer that records planner turns not owned by action tools.
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Self-recording tools (``slash_invoke``, ``shell_run``, etc.) append their own
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history row; chat turns are recorded later by turn accounting when the
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assistant runs.
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"""
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def __init__(self, *, session: Session, console: Console, message: str) -> None:
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self.session = session
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self.console = console
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self.message = message
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self.planned_count = 0
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def __call__(self, kind: str, data: dict[str, Any]) -> None:
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if kind == "tool_update":
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with contextlib.suppress(Exception):
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self.session.storage.append_tool_update(
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self.session.session_id,
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tool=str(data.get("name") or "tool"),
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update=data.get("update"),
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tool_call_id=str(data.get("id") or "") or None,
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)
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return
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if kind != "tool_start":
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return
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name = str(data.get("name", "")).strip()
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if not name or name == "assistant_handoff":
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return
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if self.planned_count == 0 and name not in SELF_RECORDING_ACTION_TOOL_NAMES:
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self.session.record("cli_agent", self.message)
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self.planned_count += 1
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__all__ = [
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"ActionRenderObserver",
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"tool_call_display",
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]
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