Release v1.3.2

[jeffreyflynt]

[v1.3.2] — 2026-03-31

Added

• Eval Dataset Generator v2 (eval/eval_harness.py, eval/eval_e2e.py): Introduced three novel evaluation tracks: PERSPECTIVE (actor visibility cones and information asymmetry), COUNTERFACTUAL (causal link testing), and SILENCE (expected-but-absent artifact cataloging). Added an InfinityRetriever integration with local caching for high-throughput dense retrieval.
• Dynamic Domain Registry (src/memory.py, src/org_lifecycle.py, src/genesis.py): Implemented a live MongoDB domain_registry tracking system ownership and documentation coverage. Coverage automatically degrades into "orphaned" status during departures (_orphan_domains_on_departure) and recovers organically as engineers write Confluence docs or new hires claim domains.
• Organic Gap Detection (src/normal_day.py, src/confluence_writer.py): Added "SELF-AUDIT" metadata generation to Confluence page creation and peer-review audits to PRs to proactively detect knowledge gaps. Slack Q&A threads are now asynchronously classified by a dedicated LLM (_assess_async_thread_gap) to identify unresolved questions.
• Commercial & Ops Personas (config/config.yaml): Expanded the simulation with new department personas including Marcus (Head of Sales & Marketing), Jenna (Marketing), Karen (HR & Ops), and Tom (Operations Manager), while adding strict role definitions for all existing engineers.

Changed

• Strict Temporal Horizons (src/memory.py, src/flow.py, src/normal_day.py): Threaded an as_of_time parameter through core fetch methods (get_ticket, get_event_log, get_reviewable_prs_for) to strictly enforce visibility cones and prevent LLM agents from "seeing into the future" during state assessments.
• HuggingFace Corpus Export (eval/export_to_hf.py): Overhauled the corpus builder to directly sweep native MongoDB collections (Zendesk tickets, Salesforce deals/accounts, PRs, Emails, and Slack messages) instead of relying solely on the primary artifacts collection. Default dense baseline switched to Qwen/Qwen3-Embedding-4B.
• Multi-Category Scoring (eval/scorer.py): Upgraded the TemporalScorer to support dynamic sub-categories (knowledge_gap, point_in_time, stress_state, propagation) and introduced a new MultiHopScorer to evaluate partial credit across multi-stage causal chains.
• Incident On-Call Rotation (src/flow.py): Refactored incident generation to use a deterministic daily on-call rotation (_get_next_on_call) paired with dynamic cross-department friction signals, replacing the previous hardcoded gap-incident generation.

Fixed

• Insider Threat Telemetry (eval/insider_threat/eval_insider_threat.py): Removed faulty phone call access log scraping that improperly linked innocent victim records to attacker actors.
• Persona Prompt Bleed (src/utils/persona_utils.py): Fixed missing expertise context in async and watercooler interactions by unconditionally injecting the "Expertise" list into all persona voice cards.
• Redundant Email Routing (src/external_email_ingest.py): Disabled legacy/redundant customer email routing pathways and stripped stale incident context from outbound sales generation.