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- Added tests for output projection and failure policy population in TaskPackPlanner. - Introduced new failure policy manifest in TestManifests. - Implemented simulation endpoints in the web service for task execution. - Created TaskRunnerServiceOptions for configuration management. - Updated appsettings.json to include TaskRunner configuration. - Enhanced PackRunWorkerService to handle execution graphs and state management. - Added support for parallel execution and conditional steps in the worker service. - Updated documentation to reflect new features and changes in execution flow.
StellaOps Advisory AI
Advisory AI is the retrieval-augmented assistant that synthesizes advisory and VEX evidence into operator-ready summaries, conflict explanations, and remediation plans with strict provenance.
Responsibilities
- Generate policy-aware advisory summaries with citations back to Conseiller and Excititor evidence.
- Explain conflicting advisories/VEX statements using weights from VEX Lens and Policy Engine.
- Propose remediation hints aligned with Offline Kit staging and export bundles.
- Expose API/UI surfaces with guardrails on model prompts, outputs, and retention.
Key components
- RAG pipeline drawing from Conseiller, Excititor, VEX Lens, Policy Engine, and SBOM Service data.
- Prompt templates and guard models enforcing provenance and redaction policies.
- Vercel/offline inference workers with deterministic caching of generated artefacts.
Integrations & dependencies
- Authority for tenant-aware access control.
- Policy Engine for context-specific decisions and explain traces.
- Console/CLI for interaction surfaces.
- Export Center/Vuln Explorer for embedding generated briefs.
Operational notes
- Model cache management and offline bundle packaging per Epic 8 requirements.
- Usage/latency dashboards for prompt/response monitoring.
- Redaction policies validated against security/LLM guardrail tests.
Epic alignment
- Epic 8: Advisory AI Assistant.
- DOCS-AI stories to be tracked in ../../TASKS.md.