feat(053): attach stored promptGraph for the generic-openai engine - #6388
feat(053): attach stored promptGraph for the generic-openai engine#6388valentinyanakiev wants to merge 4 commits into
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A persona on the generic engine had no server-side route to receive a stored prompt graph: the invocation builder attached promptGraph only inside the EXPERT branch, so the declarative graph support merged in virtual-contributor#122 was live but unreachable through configuration. Adds a PROMPT_GRAPH_ENGINES allowlist covering expert and generic-openai. The expert-only default fallback is unchanged, and a generic persona with no stored graph still produces a message with no promptGraph key at all. The allowlist deliberately excludes guidance, openai-assistant, libra-flow and community-manager: widening requires engine-side graph execution first. Schema gains additive authoring fields only (retrieve/echo node types and conditional edges); AiPersonaInvocationInput stays absent from the public schema. No migration — ai_persona.promptGraph jsonb already existed engine-independently. Closes #6385 workspace#053-generic-prompt-graph Co-Authored-By: Codex gpt-5.6-terra <noreply@openai.com> Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
… real tests Security (Codex Sol, verdict conditional): - F-01: aiServerUpdateAiPersona now writes a success/failure operational audit record — actor, persona, engine, promptGraphChanged only; never the graph, prompt text or credentials (SOC 2 CC7.2/CC7.3, ISO A.8.15/A.8.16). - F-03: edge.map is bounded — string->string object, 100 entries, 128 chars per key/value. Structural limits only; graph semantics stay the engine's job. - F-02/F-04: the activation guide now states that a retrieve-bearing graph sends body-of-knowledge content to the external model provider (classification and processing basis must permit it), and that a misconfigured retrieve graph fails every invocation until corrected. Correctness (Claude Opus, mutation-verified): - schema.graphql is regenerated by the repo's own generator instead of hand-authored: the previous file carried a fabricated JSON scalar description and wrong field ordering. Also corrects pre-existing description drift. - The round-trip test now crosses the transformer/JSON seam and compares against a separately constructed object. It previously compared a mocked object to itself and passed even with the transformer gutted. - The matrix's expert-default row asserts real graph content; it previously asserted only toBeDefined() and passed with an empty default graph. - Documented that promptGraph merges per top-level key, so omitted keys are retained; send null first for a clean replace. workspace#053-generic-prompt-graph Co-Authored-By: Codex gpt-5.6-terra <noreply@openai.com> Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
📊 PR Metrics SummaryTitle: feat(053): attach stored promptGraph for the generic-openai engine
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Included review availability: 2 reviews are currently available. Your included PR review attempts over the past 7 days set your current allowance at 4 reviews per hour. WalkthroughThe PR adds prompt-graph GraphQL contracts and validation, documents activation, adds a workshop-design authoring graph, forwards graphs to Expert and Generic OpenAI engines, and audits persona updates. ChangesPrompt graph activation
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: ⚪ Minimal · up to The prompt-graph changes are merge-ready after normal checks and review; no actionable merge-blocking risk remains in the supplied evidence. Sequence Diagram(s)sequenceDiagram
participant Caller
participant AiPersonaResolverMutations
participant AiPersonaService
participant AIEngine
Caller->>AiPersonaResolverMutations: update persona with promptGraph
AiPersonaResolverMutations->>AiPersonaService: persist persona update
Caller->>AiPersonaService: invoke persona
AiPersonaService->>AIEngine: forward stored promptGraph
AIEngine-->>AiPersonaService: engine response
Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Schema Diff Summary: No blocking changes
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In `@test/integration/ai-persona-prompt-graph/prompt-graph-attachment.spec.ts`:
- Line 12: Update the prompt graph fixture import in
prompt-graph-attachment.spec.ts to use the configured `@services` path alias
instead of relative traversal, while preserving the same
prompt.graph.expert.json fixture.
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docs/prompt-graphs.mddocs/prompt-graphs/workshop-design.authoring.jsonschema.graphqlsrc/services/ai-server/ai-persona/ai.persona.module.tssrc/services/ai-server/ai-persona/ai.persona.resolver.mutations.audit.spec.tssrc/services/ai-server/ai-persona/ai.persona.resolver.mutations.tssrc/services/ai-server/ai-persona/ai.persona.service.spec.tssrc/services/ai-server/ai-persona/ai.persona.service.tssrc/services/ai-server/ai-persona/dto/ai.persona.dto.update.tssrc/services/ai-server/prompt-graph/dto/prompt.graph.dto.tssrc/services/ai-server/prompt-graph/dto/prompt.graph.edge.dto.spec.tssrc/services/ai-server/prompt-graph/dto/prompt.graph.edge.dto.tssrc/services/ai-server/prompt-graph/dto/prompt.graph.node.dto.tstest/integration/ai-persona-prompt-graph/prompt-graph-attachment.spec.ts
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Replace relative traversal (../../../src/...) with the configured @services/* tsconfig path alias in the prompt-graph attachment test, per repo coding guidelines. Import order fixed by biome (organize imports). Addresses CodeRabbit review comment on PR #6388.
What / why
A persona on the generic engine had no server-side route to receive a stored prompt graph: the invocation builder attached
promptGraphonly inside theEXPERTbranch. So the declarative graph support merged in virtual-contributor#122 (conditional edges, retrieve/echo nodes, the shipped workshop payload) was live but unreachable through configuration.This adds a
PROMPT_GRAPH_ENGINESallowlist coveringexpert+generic-openai, new GraphQL authoring fields for the node/edge forms, an activation guide, and the workshop authoring fixture.Closes #6385. Spec:
workspace#053-generic-prompt-graph.What actually changed in production code
Most of the diff is tests and docs, but three source files change existing behaviour — worth reading rather than skimming:
ai.persona.resolver.mutations.ts— theaiServerUpdateAiPersonabody was restructured, not extended. The fetch and the authorization check moved inside atry, an audit call was added on both the success and failure paths, and a constructor dependency was added. The authorization check is unchanged in substance and still runs before any update: samegrantAccessOrFail, sameAuthorizationPrivilege.UPDATE, same policy object, same position relative to the mutation — only its enclosing block moved. That is the property to verify when reviewing this hunk, and it is why the restructure is called out here instead of being described as an addition.ai.persona.service.ts— two conditions changed.input.engine === AiPersonaEngine.EXPERTbecamePROMPT_GRAPH_ENGINES.includes(input.engine); that is the feature. A second condition was tightened:if (!invocationGraph)becameif (!invocationGraph && input.engine === AiPersonaEngine.EXPERT), deliberately keeping the default-graph fallback expert-only so a generic persona with no stored graph produces nopromptGraphkey at all rather than inheriting expert's default.prompt.graph.node.dto.ts/prompt.graph.edge.dto.ts/ai.persona.dto.update.tsadd nullable fields; the only removal is an import line being widened.Genuinely additive: every new test file, the docs, and the fixture. No pre-existing test was modified or deleted (
git diff origin/develop..HEAD -- '**/*.spec.ts' | grep -c '^-'= 0), and the GraphQL schema delta is additive — 21 added, 0 breaking.Decisions worth reviewing
AiPersonaEngine.GENERIC_OPENAI(generic-openai) — the routing key bound to thevirtual-contributor-engine-genericqueue.guidance,openai-assistant,libra-flow,community-manager: widening requires engine-side graph execution first. A future enum value defaults to not attaching.bodyOfKnowledgeIDis per-invocation from the VC, not stored on the persona, so the server cannot validate it. A retrieve-bearing graph on a BoK-less persona hard-fails at engine parse time and the member sees the standard error response — a documented precondition, not a defect.ai_persona.promptGraphjsonb already existed engine-independently.Evidence
AiPersonaInvocationInputremains absent fromschema.graphql(count 0).2920c83): 8 nodes, 2 conditional edges, state model built.Review round (8 findings, all fixed, 0 declined)
Two independent reviewers on different providers found non-overlapping defects:
Security (verdict was
conditional, now remediated):aiServerUpdateAiPersonawrote no audit record — a global admin could change the graph governing prompts, retrieval and member output with no attributable trace. Now audits success and failure with actor / persona / engine /promptGraphChangedonly; never the graph, prompt text or credentials (SOC 2 CC7.2·CC7.3, ISO A.8.15·A.8.16). This is what motivated the resolver restructure described above.edge.mapwas an unbounded JSON scalar → now bounded (string→string, 100 entries, 128 chars per key/value). Structural limits only; graph semantics stay the engine's job.Correctness — two of these were caught by mutating the production code and watching the tests stay green:
toBeDefined()— replacing the default graph with{nodes:[],edges:[]}kept it 7/7 green. It now asserts real graph content.schema.graphqlhad been hand-authored, including a fabricated description for the JSON scalar and wrong field ordering (~80 lines of divergence from the generator). Regenerated with the repo's own tooling and committed verbatim; this also picks up a pre-existing description drift ondevelop.Full evidence ledger:
specs/053-generic-prompt-graph/forge-run.mdin the workspace repo.Activation (after merge)
Store the payload on a generic persona via
aiServerUpdateAiPersona— seedocs/prompt-graphs.md, which covers the walkthrough, the body-of-knowledge precondition, the provider-egress check, and the per-top-level-key merge behaviour (sendpromptGraph: nullfirst for a clean replace).🤖 Generated with Claude Code