git.stella-ops.org/docs/advisory-ai/evidence-payloads.md

Advisory AI Evidence Payloads (LNM-Aligned)

Updated: 2025-11-18 · Owner: Advisory AI Docs Guild · Sprint: 0111 (AIAI-RAG-31-003)

This document defines how Advisory AI consumes Link-Not-Merge (LNM) observations and linksets for Retrieval-Augmented Generation (RAG). It aligns payloads with the frozen LNM v1 schema (docs/modules/concelier/link-not-merge-schema.md, 2025-11-17) and replaces prior draft payloads. CLI/Policy artefacts (CLI-VULN-29-001, CLI-VEX-30-001, policyVersion digests) are referenced but optional at runtime; missing artefacts trigger deterministic 409 advisory.contextUnavailable responses rather than fallback merging.

1) Input envelope (per task)

{
  "advisoryKey": "csaf:redhat:RHSA-2025:1001",
  "profile": "fips-local",
  "policyVersion": "2025.10.1",
  "lnm": {
    "observationIds": ["6561e41b3e3f4a6e9d3b91c1", "6561e41b3e3f4a6e9d3b91c2"],
    "linksetId": "6561e41b3e3f4a6e9d3b91d0",
    "provenanceHash": "sha256:0f7c...9ad3"
  },
  "sbom": {
    "artifactId": "registry.stella-ops.internal/runtime/api",
    "purl": "pkg:oci/runtime-api@sha256:d2c3...",
    "timelineClamp": 500,
    "dependencyPathClamp": 200
  }
}

Rules:

• lnm.linksetId and lnm.observationIds are required. Missing values → 409 advisory.contextUnavailable.
• provenanceHash must match the hash list embedded in the LNM linkset; Advisory AI refuses linksets whose hashes mismatch.
• SBOM fields optional; if absent, remediation tasks skip SBOM deltas and still return deterministic outputs.

2) Canonical chunk mapping

LNM source	Advisory AI chunk	Transformation
advisory_observations._id	source_id	Stored verbatim; used for citations.
advisory_observations.advisoryId	advisory_key	Also populates content_hash seed.
advisory_observations.summary	text	Trimmed, Markdown-safe.
advisory_observations.affected[].purl	purl	Lowercased, deduped; no range merging.
advisory_observations.severities[]	severity	Passed through; multiple severities allowed.
advisory_observations.references[]	references	Sorted for determinism.
advisory_observations.relationships[]	relationships	Surface upstream type/source/target/provenance; no merge.
advisory_observations.provenance.sourceArtifactSha	content_hash	Drives dedup + cache key.
advisory_linksets.conflicts[]	conflicts	Serialized verbatim for conflict tasks.
`advisory_linksets.normalized.purls	versions	ranges

Chunk ordering: observations sorted by (source, advisoryId, provenance.fetchedAt) as per LNM invariant; chunks are emitted in the same order to keep cache keys stable. SBOM deltas, when present, append after observations but before conflict echoes to keep hashes reproducible with and without SBOM context.

3) Output citation rules

• citations[n].sourceId points to the LNM source_id; citations[n].uri must remain the upstream reference URI when present.
• If SBOM deltas are included, they appear as separate citations with kind: "sbom" and sourceId built from SBOM context digest (sbom:{artifactId}:{digest}).
• Conflict outputs must echo linkset.conflicts[].reason in the Markdown body with matching citation indexes; guardrails block outputs where a conflict reason lacks a citation.

4) Error conditions (aligned to LNM)

Condition	Code	Notes
Missing lnm.linksetId or lnm.observationIds	409 advisory.contextUnavailable	Caller should pass LNM IDs; retry once upstream emits them.
Hash mismatch between provenanceHash and linkset	409 advisory.contextHashMismatch	Indicates tampering or stale payload; retry after refreshing linkset.
Observation count exceeds clamp (defaults: 200 obs, 600 chunks)	413 advisory.contextTooLarge	Caller may request narrower preferredSections or reduce obs set.
Conflicts array empty for conflict task	422 advisory.conflict.noConflicts	Signals upstream data gap; reported to Concelier.

5) Sample normalized RAG bundle

{
  "taskType": "Summary",
  "advisoryKey": "csaf:redhat:RHSA-2025:1001",
  "lnmBundle": {
    "linksetId": "6561e41b3e3f4a6e9d3b91d0",
    "provenanceHash": "sha256:0f7c...9ad3",
    "chunks": [
      {
        "source_id": "concelier:ghsa:GHSA-xxxx:obs:6561e41b3e3f4a6e9d3b91c1",
        "content_hash": "sha256:1234...",
        "advisory_key": "csaf:redhat:RHSA-2025:1001",
        "purl": "pkg:maven/org.example/foo@1.2.3",
        "severity": [{"system":"cvssv3","score":7.8,"vector":"AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"}],
        "references": ["https://access.redhat.com/errata/RHSA-2025:1001"],
        "relationships": [{"type":"affects","source":"nvd","target":"cpe:/o:redhat:enterprise_linux:9"}]
      }
    ],
    "conflicts": [
      {"field":"affected.versions","reason":"vendor_range_differs","values":["<1.2.0","<=1.2.3"]}
    ]
  },
  "sbomSummary": {
    "artifactId": "registry.stella-ops.internal/runtime/api",
    "versionTimeline": 8,
    "dependencyPaths": 5
  }
}

Operators can store this bundle alongside plan cache entries; the lnmBundle.provenanceHash proves the evidence set matches the frozen Concelier linkset.

6) Operator validation steps

• Verify LNM collections at schema v1 (2025-11-17 freeze) before enabling Advisory AI tasks.
• Ensure lnm.provenanceHash matches linkset observationHashes before calling Advisory AI.
• Keep clamps deterministic: observations ≤200, chunks ≤600, timeline entries ≤500, dependency paths ≤200 (defaults; override only if documented).
• When running offline, include LNM linkset exports in the Offline Kit to preserve citation replay.