git.stella-ops.org/docs/modules/advisory-ai

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 with advisory_ai_latency_seconds, guardrail block/validation counters, and citation coverage histograms wired into the default “Advisory AI” Grafana dashboard.
• Alert policies fire when advisory_ai_guardrail_blocks_total or advisory_ai_validation_failures_total breach burn-rate thresholds (5 blocks/min or validation failures > 1% of traffic) and when latency p95 exceeds 30s.
• Redaction policies validated against security/LLM guardrail tests.
• Guardrail behaviour, blocked phrases, and operational alerts are detailed in /docs/security/assistant-guardrails.md.

Deployment & configuration

• Containers: advisory-ai-web fronts the API/cache while advisory-ai-worker drains the queue and executes prompts. Both containers mount a shared RWX volume providing /var/lib/advisory-ai/{queue,plans,outputs}.
• Remote inference toggle: Set ADVISORYAI__AdvisoryAI__Inference__Mode=Remote to send sanitized prompts to an external inference tier. Provide ADVISORYAI__AdvisoryAI__Inference__Remote__BaseAddress (and optional ...ApiKey) to complete the circuit; failures fall back to the sanitized prompt and surface inference.fallback_* metadata.
• Helm/Compose: Bundled manifests wire the SBOM base address, queue/plan/output directories, and inference options via the AdvisoryAI configuration section. Helm expects a PVC named stellaops-advisory-ai-data. Compose creates named volumes so the worker and web instances share deterministic state.

CLI usage

• stella advise run <summary|conflict|remediation> --advisory-key <id> [--artifact-id id] [--artifact-purl purl] [--policy-version v] [--profile profile] [--section name] [--force-refresh] [--timeout seconds]
  • Requests an advisory plan from the web service, enqueues execution, then polls for the generated output (default wait 120 s, single check if --timeout 0).
  • Renders plan metadata (cache key, prompt template, token budget), guardrail state, provenance hashes, signatures, and citations in a deterministic table view.
  • Honors STELLAOPS_ADVISORYAI_URL when set; otherwise the CLI reuses the backend URL and scopes requests via X-StellaOps-Scopes.

Epic alignment

• Epic 8: Advisory AI Assistant.
• DOCS-AI stories to be tracked in ../../TASKS.md.