Implement MongoDB-based storage for Pack Run approval, artifact, log, and state management

- Added MongoPackRunApprovalStore for managing approval states with MongoDB.
- Introduced MongoPackRunArtifactUploader for uploading and storing artifacts.
- Created MongoPackRunLogStore to handle logging of pack run events.
- Developed MongoPackRunStateStore for persisting and retrieving pack run states.
- Implemented unit tests for MongoDB stores to ensure correct functionality.
- Added MongoTaskRunnerTestContext for setting up MongoDB test environment.
- Enhanced PackRunStateFactory to correctly initialize state with gate reasons.

docs/updates/2025-11-07-concelier-advisory-chunks.md

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+# 2025-11-07 – Concelier advisory chunks API
+
+**Subject:** Paragraph-anchored advisory chunks land for Advisory AI
+**Audience:** Concelier WebService Guild, Advisory AI Guild, Observability Guild
+
+- Shipped /advisories/{advisoryKey}/chunks with tenant enforcement, AdvisoryRead scopes, and filters for sections/formats/limits/minLength so Advisory AI can pull paragraph anchors plus source metadata deterministically.
+- Registered AdvisoryChunkBuilder behind new advisoryChunks configuration (chunk/observation/min-length caps) to keep offline and air-gapped deployments tunable without code changes.
+- Added regression coverage that seeds synthetic observations with embedded paragraphs to validate anchors, metadata, and source ordering before Advisory AI consumes the API; module README now points at this release note.
+
+**Follow-ups**
+- [ ] CONCELIER-AIAI-31-002 – surface structured workaround/fix fields plus caching for downstream retrievers.
+- [ ] CONCELIER-AIAI-31-003 – wire chunk request metrics/logs and guardrail telemetry once the API stabilizes.