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Marc-André Bombeck
502783a3ea
Replace the scalar document_id discriminator on a coach conversation with a CoachConversationDocument join table and a sticky documentScoped flag, so a conversation can be grounded on several stored documents at once while the prompt-injection fence stays intact across the data-model change. The fence is re-established at both enforcement points, fail-closed: - Client: resolveCoachSendTarget routes any turn on a fenced conversation (or a fresh chat with staged attachments) to the new /api/insights/chat/fenced endpoint; the fenced body is strict and never carries scope, guided-question, or prefill hints. - Server: the tool route fetches with documentScoped:false AND 404s when the fetched row still carries an attachment (flag/join drift), emitting a fence_drift audit alarm. Document text now enters an LLM prompt in exactly one code path — the fenced pipeline — with no tools and no health snapshot; a module-graph test pins that the tool loop is unreachable from it. The fenced turn fences each document separately with a server-built, scrubbed header line (title and filename are untrusted text), runs a per-document egress consent check on the single picked provider, and grounds numerically over the live attachment union only. Attachments are capped at five documents and 192 KB of combined text with honest truncation. Attach and detach ride dedicated endpoints: attaching validates the document is owned, live, indexed, and within cap, then flips the conversation fenced (the one legal, privilege-reducing transition, audit-logged); detaching removes the document but never clears the flag. The document-sheet chat keeps its public wire contract and shares the same fenced pipeline over the join. Migration 0245 adds the join table and the flag, backfills every legacy single-document chat into a one-attachment fenced conversation, and drops the scalar column in the same transaction — no dual-truth window.