Grounds the interview character in the ingested corpus while she stays in-voice.
Tier-3 agents are tool-less by design in v1, so this is the consumer-side
workaround (DEC-6, worldtree-dev ruling): per opted-in interview turn, ratatoskr
consults Mimir out-of-band, extracts the passages, and pins them as memory_context
on the character's turn. She frames the pinned corpus as her own memory.
- src/ratatoskr/kb_bridge.py (new, RETIRE-READY): pin_kb_context — THE single seam
(INV-KB-1). Allowlist-gated (INV-KB-4: ratatoskr:donut only), hard-timeout-bounded,
degrades to [] on any failure/timeout/empty (INV-KB-3, never raises; CancelledError
propagates). Imports nothing from the SDK-adapter / TTS core. aclosing() closes the
SDK stream deterministically on the DoneEvent break.
- wt.stream_turn: memory_context passthrough (defaults None — inert for every other
caller and for the bridge's own retirement). Seam-review catch: the contract's
original touch list undercounted wt.py by one file (recorded in the contract).
- web/server.py: TurnHandle.agent_id + the single pin_kb_context call-site on the
turn path; the browser now sends agent_id so the allowlist can gate.
- web/static/index.html: the turn POST carries agent_id.
Consult prompt tuned live: "search_library EXACTLY ONCE, no read_note" converges
Mimir in ~3-15s (the softer "do one search" phrasing looped past 25s on
conversational questions).
TDD: 12 kb_bridge unit tests + wt memory_context forwarding + 2 server wiring tests
(531 green). Live-smoked on :8081/b128: pin_kb_context grounds in the DCC corpus
(real excerpts, <20s) and Donut answers in-voice; degrades cleanly on a slow consult.
KNOWN LIMIT surfaced (not a bridge defect): DCC's fiction index is weak (failed
backfill, a worldtree-dev item), so grounding is opportunistic — the bridge's real
payoff is a corpus the model does not already know.
Per docs/contracts/donut_voiced_interview.contract.md (slice 3 of 3).
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