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Implement ledger metrics for observability and add tests for Ruby packages endpoints
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- Added `LedgerMetrics` class to record write latency and total events for ledger operations.
- Created comprehensive tests for Ruby packages endpoints, covering scenarios for missing inventory, successful retrieval, and identifier handling.
- Introduced `TestSurfaceSecretsScope` for managing environment variables during tests.
- Developed `ProvenanceMongoExtensions` for attaching DSSE provenance and trust information to event documents.
- Implemented `EventProvenanceWriter` and `EventWriter` classes for managing event provenance in MongoDB.
- Established MongoDB indexes for efficient querying of events based on provenance and trust.
- Added models and JSON parsing logic for DSSE provenance and trust information.
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2025-11-13 09:29:09 +02:00
parent 151f6b35cc
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docs/modules/advisory-ai/architecture.md
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# Advisory AI architecture
> Captures the retrieval, guardrail, and inference packaging requirements defined in the Advisory AI implementation plan and related module guides.
> Configuration knobs (inference modes, guardrails, cache/queue budgets) now live in [`docs/policy/assistant-parameters.md`](../../policy/assistant-parameters.md) per DOCS-AIAI-31-006.
## 1) Goals