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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

56 lines
2.1 KiB
Python

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