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56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
"""Resolve which connected subagent (if any) the current turn targets.
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Mirrors :mod:`deeptutor.capabilities.obsidian.binding`: the binding is derived
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once per turn from the user's selected knowledge bases — the first selection
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whose KB metadata is ``type == subagent`` wins, and its ``agent_kind`` plus its
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target (``cwd`` for a local CLI, ``partner_id`` for a partner) become the live
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connection the consult tool drives. Cached on ``context.metadata`` so
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``is_active`` / ``augment_kwargs`` / ``system_block`` share one lookup. Pure
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read; access errors resolve to "no connection".
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"""
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from __future__ import annotations
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from deeptutor.core.context import UnifiedContext
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from deeptutor.knowledge.kb_types import SUBAGENT_KB_TYPE
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# Cached on context.metadata: a {"name", "kind", "cwd", "partner_id"} dict, or ""
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# once we've looked and found none. Absence of the key means "not resolved yet".
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_CACHE_KEY = "_subagent_connection"
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_UNSET = object()
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def connection_for_turn(context: UnifiedContext) -> dict[str, str] | None:
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"""Return ``{"name", "kind", "cwd", "partner_id"}`` of the selected subagent, or ``None``."""
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cached = context.metadata.get(_CACHE_KEY, _UNSET)
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if cached is not _UNSET:
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return cached or None
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resolved = _resolve(context)
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context.metadata[_CACHE_KEY] = resolved or ""
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return resolved
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def _resolve(context: UnifiedContext) -> dict[str, str] | None:
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from deeptutor.multi_user.knowledge_access import resolve_kb_metadata
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for ref in context.knowledge_bases or []:
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ref = str(ref).strip()
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if not ref:
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continue
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meta = resolve_kb_metadata(ref)
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if not meta or meta.get("type") != SUBAGENT_KB_TYPE:
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continue
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kind = str(meta.get("agent_kind") or "").strip()
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if not kind:
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continue
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return {
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"name": str(meta.get("name") or ref),
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"kind": kind,
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"cwd": str(meta.get("cwd") or "").strip(),
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"partner_id": str(meta.get("partner_id") or "").strip(),
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}
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return None
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__all__ = ["connection_for_turn"]
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