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53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
"""Built-in loop-capability registry."""
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from __future__ import annotations
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from deeptutor.capabilities.explore_context import ExploreContextCapability
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from deeptutor.capabilities.mastery import MasteryLoopCapability
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from deeptutor.capabilities.obsidian import ObsidianCapability
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from deeptutor.capabilities.protocol import LoopCapability
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from deeptutor.capabilities.solve import SolveLoopCapability
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from deeptutor.capabilities.subagent import SubagentCapability
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from deeptutor.core.context import UnifiedContext
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LOOP_CAPABILITIES: tuple[LoopCapability, ...] = (
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MasteryLoopCapability(),
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SolveLoopCapability(),
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ObsidianCapability(),
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SubagentCapability(),
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ExploreContextCapability(),
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)
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def active_loop_capabilities(context: UnifiedContext) -> tuple[LoopCapability, ...]:
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"""Return the loop capabilities active for this turn in stable registry order."""
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return tuple(cap for cap in LOOP_CAPABILITIES if cap.is_active(context))
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def any_exclusive_capability_active(context: UnifiedContext) -> bool:
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"""Whether an active capability *replaces* the tool surface (knowledge category).
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Drives the pipeline's exclusive-tools branch and the suppression of rag
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scaffolding (KB seed / kb note) — the turn runs only on the capability's
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own tools. ``getattr`` default keeps plain capabilities (solve / mastery)
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out of this path.
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"""
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return any(getattr(cap, "exclusive_tools", False) for cap in active_loop_capabilities(context))
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def capability_tool_owners() -> dict[str, str]:
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"""Map each capability-owned tool name to its owning capability name.
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Static (independent of any turn) so the settings UI can group capability
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tools under their owner. Built-in/system tools are absent from the map.
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"""
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return {name: cap.name for cap in LOOP_CAPABILITIES for name in cap.owned_tools}
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__all__ = [
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"LOOP_CAPABILITIES",
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"active_loop_capabilities",
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"any_exclusive_capability_active",
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"capability_tool_owners",
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]
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