objectstack-ai · os-zhuang · Jul 24, 2026 · Jul 24, 2026
diff --git a/.changeset/agent-knowledge-alias-and-experimental-markers.md b/.changeset/agent-knowledge-alias-and-experimental-markers.md
@@ -0,0 +1,21 @@
+---
+"@objectstack/spec": patch
+---
+
+fix(spec): fold agent `knowledge.topics` into `sources` at parse; mark unenforced AI config experimental (#1891, #1893)
+
+Two liveness-audit closeouts (umbrella #1878):
+
+- **`AIKnowledgeSchema`** now folds the deprecated `topics` alias into the
+  canonical `sources` at parse time (canonical wins; alias dropped from the
+  output — mirrors the `visibleWhen` normalization, ADR-0089 D2). Authoring
+  `topics` was a silent no-op: the renderer only reads `sources`. The schema's
+  JSDoc example now shows `sources`.
+- **Author-facing experimental markers** added to config that is parsed but has
+  no runtime consumer, matching the liveness ledger (ADR-0078): agent
+  `memory` / `guardrails` / `structuredOutput` / `lifecycle`, and tool
+  `outputSchema` (keys folded into the LLM-facing description only — no output
+  validation).
+
+Reference docs regenerated. No parse-acceptance change; `Agent`'s inferred
+output type no longer carries `knowledge.topics` (input still accepts it).
diff --git a/content/docs/references/ai/agent.mdx b/content/docs/references/ai/agent.mdx
@@ -30,7 +30,7 @@ const result = AIKnowledge.parse(data);
 | Property | Type | Required | Description |
 | :--- | :--- | :--- | :--- |
 | **sources** | `string[]` | optional | Knowledge sources/tags to recruit RAG context from. Canonical key consumed by the agent renderer (objectui AgentPreview KnowledgeSummary). |
-| **topics** | `string[]` | optional | Deprecated alias for `sources` (spec key ≠ consumed key drift, liveness audit #1878/#1891). Prefer `sources`; `topics` is retained for back-compat but the renderer reads `sources`. |
+| **topics** | `string[]` | optional | Deprecated alias for `sources` (spec key ≠ consumed key drift, liveness audit #1878/#1891). Folded into `sources` at parse time; prefer `sources`. |
 | **indexes** | `string[]` | ✅ | Vector Store Indexes |
 
 
@@ -75,19 +75,19 @@ const result = AIKnowledge.parse(data);
 | **avatar** | `string` | optional |  |
 | **role** | `string` | ✅ | The persona/role (e.g. "Senior Support Engineer") |
 | **instructions** | `string` | ✅ | System Prompt / Prime Directives |
-| **model** | `{ provider: Enum<'openai' \| 'azure_openai' \| 'anthropic' \| 'local'>; model: string; temperature: number; maxTokens?: number; … }` | optional |  |
-| **lifecycle** | `{ id: string; description?: string; contextSchema?: Record<string, any>; initial: string; … }` | optional | State machine defining the agent conversation follow and constraints |
-| **surface** | `Enum<'ask' \| 'build'>` | ✅ | Product surface this agent binds ('ask' \| 'build') — ADR-0063 §1 |
+| **model** | `{ provider?: Enum<'openai' \| 'azure_openai' \| 'anthropic' \| 'local'>; model: string; temperature?: number; maxTokens?: number; … }` | optional |  |
+| **lifecycle** | `{ id: string; description?: string; contextSchema?: Record<string, any>; initial: string; … }` | optional | [EXPERIMENTAL — not enforced] State machine defining the agent conversation flow and constraints. Parsed but no runtime consumer yet (liveness #1878/#1893). |
+| **surface** | `Enum<'ask' \| 'build'>` | optional | Product surface this agent binds ('ask' \| 'build') — ADR-0063 §1 |
 | **skills** | `string[]` | optional | Skill names to attach (Agent→Skill→Tool architecture) |
 | **tools** | `{ type: Enum<'action' \| 'flow' \| 'query' \| 'vector_search'>; name: string; description?: string }[]` | optional | Direct tool references (legacy fallback) |
 | **knowledge** | `{ sources?: string[]; topics?: string[]; indexes: string[] }` | optional | RAG access |
-| **active** | `boolean` | ✅ |  |
+| **active** | `boolean` | optional |  |
 | **access** | `string[]` | optional | Who can chat with this agent |
 | **permissions** | `string[]` | optional | Required permission-set capabilities |
-| **planning** | `{ maxIterations: integer }` | optional | Autonomous reasoning and planning configuration |
-| **memory** | `{ longTerm?: object; reflectionInterval?: integer }` | optional | Agent memory management |
-| **guardrails** | `{ maxTokensPerInvocation?: integer; maxExecutionTimeSec?: integer; blockedTopics?: string[] }` | optional | Safety guardrails for the agent |
-| **structuredOutput** | `{ format: Enum<'json_object' \| 'json_schema' \| 'regex' \| 'grammar' \| 'xml'>; schema?: Record<string, any>; strict: boolean; retryOnValidationFailure: boolean; … }` | optional | Structured output format and validation configuration |
+| **planning** | `{ maxIterations?: integer }` | optional | Autonomous reasoning and planning configuration |
+| **memory** | `{ longTerm?: object; reflectionInterval?: integer }` | optional | [EXPERIMENTAL — not enforced] Agent memory management. Parsed but no runtime consumer yet (liveness #1878/#1893). |
+| **guardrails** | `{ maxTokensPerInvocation?: integer; maxExecutionTimeSec?: integer; blockedTopics?: string[] }` | optional | [EXPERIMENTAL — not enforced] Safety guardrails for the agent. Parsed but not enforced — real limits come from the quota service (liveness #1878/#1893). |
+| **structuredOutput** | `{ format: Enum<'json_object' \| 'json_schema' \| 'regex' \| 'grammar' \| 'xml'>; schema?: Record<string, any>; strict?: boolean; retryOnValidationFailure?: boolean; … }` | optional | [EXPERIMENTAL — not enforced] Structured output format and validation configuration. Parsed but no runtime consumer yet (liveness #1878/#1893). |
 | **protection** | `{ lock: Enum<'none' \| 'no-overlay' \| 'no-delete' \| 'full'>; reason: string; docsUrl?: string }` | optional | Package author protection block — lock policy for this agent. |
 | **_lock** | `Enum<'none' \| 'no-overlay' \| 'no-delete' \| 'full'>` | optional | Item-level lock — controls overlay & delete (ADR-0010). |
 | **_lockReason** | `string` | optional | Human-readable reason shown when a write is refused by _lock. |

diff --git a/content/docs/references/ai/tool.mdx b/content/docs/references/ai/tool.mdx
@@ -38,7 +38,7 @@ AI tool definition. [READ-ONLY PROJECTION — not an execution entry point] Auth
 | **description** | `string` | ✅ | Tool description for LLM function calling |
 | **category** | `Enum<'data' \| 'action' \| 'flow' \| 'integration' \| 'vector_search' \| 'analytics' \| 'utility'>` | optional | Tool category for grouping and filtering |
 | **parameters** | `Record<string, any>` | ✅ | JSON Schema for tool parameters |
-| **outputSchema** | `Record<string, any>` | optional | JSON Schema for tool output |
+| **outputSchema** | `Record<string, any>` | optional | [EXPERIMENTAL — not enforced] JSON Schema for tool output. Keys are folded into the tool description only; outputs are not validated (liveness #1878/#1893). |
 | **objectName** | `string` | optional | Target object name (snake_case) |
 | **requiresConfirmation** | `boolean` | ✅ | Require user confirmation before execution |
 | **permissions** | `string[]` | optional | Required permission-set capabilities |

diff --git a/packages/spec/src/ai/agent.test.ts b/packages/spec/src/ai/agent.test.ts
@@ -93,18 +93,37 @@ describe('AIToolSchema', () => {
 });
 
 describe('AIKnowledgeSchema', () => {
-  it('should accept knowledge config', () => {
+  it('should accept knowledge config (canonical sources)', () => {
     const knowledge = {
-      topics: ['product_docs', 'faq', 'troubleshooting'],
+      sources: ['product_docs', 'faq', 'troubleshooting'],
       indexes: ['vector_store_main', 'vector_store_archive'],
     };
 
     expect(() => AIKnowledgeSchema.parse(knowledge)).not.toThrow();
   });
 
+  it('folds the deprecated topics alias into sources at parse time (#1891)', () => {
+    const parsed = AIKnowledgeSchema.parse({
+      topics: ['product_docs', 'faq'],
+      indexes: ['vector_store_main'],
+    });
+    expect(parsed.sources).toEqual(['product_docs', 'faq']);
+    expect('topics' in parsed).toBe(false);
+  });
+
+  it('lets canonical sources win when both keys are present', () => {
+    const parsed = AIKnowledgeSchema.parse({
+      sources: ['canonical'],
+      topics: ['legacy'],
+      indexes: [],
+    });
+    expect(parsed.sources).toEqual(['canonical']);
+    expect('topics' in parsed).toBe(false);
+  });
+
   it('should accept empty arrays', () => {
     const knowledge = {
-      topics: [],
+      sources: [],
       indexes: [],
     };
 
@@ -214,7 +233,7 @@ describe('AgentSchema', () => {
         role: 'Documentation Assistant',
         instructions: 'Answer questions using the knowledge base.',
         knowledge: {
-          topics: ['api_docs', 'user_guide', 'faq'],
+          sources: ['api_docs', 'user_guide', 'faq'],
           indexes: ['main_index', 'legacy_index'],
         },
       };
@@ -233,7 +252,7 @@ describe('AgentSchema', () => {
           { type: 'flow', name: 'process_data' },
         ],
         knowledge: {
-          topics: ['everything'],
+          sources: ['everything'],
           indexes: ['master_index'],
         },
       };
@@ -385,7 +404,7 @@ Always be polite, empathetic, and solution-oriented.`,
           },
         ],
         knowledge: {
-          topics: ['product_docs', 'faq', 'troubleshooting', 'api_reference'],
+          sources: ['product_docs', 'faq', 'troubleshooting', 'api_reference'],
           indexes: ['support_kb_v2'],
         },
         access: ['support_team', 'customers'],
@@ -439,7 +458,7 @@ Be persuasive but honest. Focus on value creation.`,
           },
         ],
         knowledge: {
-          topics: ['sales_playbooks', 'product_features', 'case_studies', 'competitor_analysis'],
+          sources: ['sales_playbooks', 'product_features', 'case_studies', 'competitor_analysis'],
           indexes: ['sales_intelligence'],
         },
         access: ['sales_team'],
@@ -482,7 +501,7 @@ Be precise, data-driven, and clear in your explanations.`,
           },
         ],
         knowledge: {
-          topics: ['sql_guides', 'metrics_definitions'],
+          sources: ['sql_guides', 'metrics_definitions'],
           indexes: ['analytics_kb'],
         },
         access: ['analysts', 'executives'],

diff --git a/packages/spec/src/ai/agent.zod.ts b/packages/spec/src/ai/agent.zod.ts
@@ -33,8 +33,18 @@ export const AIToolSchema = lazySchema(() => z.object({
  */
 export const AIKnowledgeSchema = lazySchema(() => z.object({
   sources: z.array(z.string()).optional().describe('Knowledge sources/tags to recruit RAG context from. Canonical key consumed by the agent renderer (objectui AgentPreview KnowledgeSummary).'),
-  topics: z.array(z.string()).optional().describe('Deprecated alias for `sources` (spec key ≠ consumed key drift, liveness audit #1878/#1891). Prefer `sources`; `topics` is retained for back-compat but the renderer reads `sources`.'),
+  topics: z.array(z.string()).optional().describe('Deprecated alias for `sources` (spec key ≠ consumed key drift, liveness audit #1878/#1891). Folded into `sources` at parse time; prefer `sources`.'),
   indexes: z.array(z.string()).describe('Vector Store Indexes'),
+}).transform((input) => {
+  // #1891: fold the deprecated `topics` alias into the canonical `sources` and
+  // drop it from the output (mirrors `normalizeVisibleWhen`, ADR-0089 D2) so
+  // authoring `topics` is no longer a silent no-op — the renderer reads
+  // `sources`. The canonical key wins when both are present.
+  const { topics, ...rest } = input;
+  if (rest.sources === undefined && topics !== undefined) {
+    return { ...rest, sources: topics };
+  }
+  return rest;
 }));
 
 /**
@@ -110,7 +120,7 @@ export type StructuredOutputConfig = z.infer<typeof StructuredOutputConfigSchema
  *   role: 'Help Desk Assistant',
  *   instructions: 'You are a helpful assistant. Always verify user identity first.',
  *   skills: ['case_management', 'knowledge_search'],
- *   knowledge: { topics: ['faq', 'policies'], indexes: ['support_docs'] },
+ *   knowledge: { sources: ['faq', 'policies'], indexes: ['support_docs'] },
  * });
  * ```
  *
@@ -138,7 +148,7 @@ export const AgentSchema = lazySchema(() => z.object({
   /** Cognition */
   instructions: z.string().describe('System Prompt / Prime Directives'),
   model: AIModelConfigSchema.optional(),
-  lifecycle: StateMachineSchema.optional().describe('State machine defining the agent conversation follow and constraints'),
+  lifecycle: StateMachineSchema.optional().describe('[EXPERIMENTAL — not enforced] State machine defining the agent conversation flow and constraints. Parsed but no runtime consumer yet (liveness #1878/#1893).'),
 
   /**
    * ADR-0063 §1 / ADR-0064 — the product surface this agent IS. The kernel
@@ -213,7 +223,7 @@ export const AgentSchema = lazySchema(() => z.object({
 
     /** Reflection interval — how often the agent reflects on past actions */
     reflectionInterval: z.number().int().min(1).optional().describe('Reflect every N interactions to improve behavior'),
-  }).optional().describe('Agent memory management'),
+  }).optional().describe('[EXPERIMENTAL — not enforced] Agent memory management. Parsed but no runtime consumer yet (liveness #1878/#1893).'),
 
   /** Guardrails */
   guardrails: z.object({
@@ -225,10 +235,10 @@ export const AgentSchema = lazySchema(() => z.object({
 
     /** Topics or actions the agent must avoid */
     blockedTopics: z.array(z.string()).optional().describe('Forbidden topics or action names'),
-  }).optional().describe('Safety guardrails for the agent'),
+  }).optional().describe('[EXPERIMENTAL — not enforced] Safety guardrails for the agent. Parsed but not enforced — real limits come from the quota service (liveness #1878/#1893).'),
 
   /** Structured Output */
-  structuredOutput: StructuredOutputConfigSchema.optional().describe('Structured output format and validation configuration'),
+  structuredOutput: StructuredOutputConfigSchema.optional().describe('[EXPERIMENTAL — not enforced] Structured output format and validation configuration. Parsed but no runtime consumer yet (liveness #1878/#1893).'),
   /**
    * ADR-0010 §3.7 — Package-level protection envelope. Package
    * authors declare lock policy here; the loader translates it

diff --git a/packages/spec/src/ai/tool.zod.ts b/packages/spec/src/ai/tool.zod.ts
@@ -82,9 +82,13 @@ export const ToolSchema = lazySchema(() => z.object({
 
   /**
    * Optional JSON Schema for the tool output.
-   * Used for structured output validation and downstream tool chaining.
+   *
+   * ⚠️ EXPERIMENTAL — NOT ENFORCED (liveness #1878/#1893). The runtime folds
+   * the top-level keys into the tool description shown to the LLM
+   * (service-ai action-tools) but performs NO output validation against this
+   * schema, and downstream tool chaining does not consume it either.
    */
-  outputSchema: z.record(z.string(), z.unknown()).optional().describe('JSON Schema for tool output'),
+  outputSchema: z.record(z.string(), z.unknown()).optional().describe('[EXPERIMENTAL — not enforced] JSON Schema for tool output. Keys are folded into the tool description only; outputs are not validated (liveness #1878/#1893).'),
 
   /**
    * Associated object name (when the tool operates on a specific data object).