fix(confidence-engine): supply focused deconstruction schema

lib/graph/focused-investigation.js

@@ -9,6 +9,20 @@ const FOCUSED_ANSWER_SCHEMA_FIELDS = [
   "possibleFollowUpQuestions",
 ];
 
+export const focusedDeconstructJsonSchema = {
+  type: "object",
+  properties: {
+    targetNodeId: { type: "string" },
+    observations: { type: "array", items: { type: "string" } },
+    uncertainties: { type: "array", items: { type: "string" } },
+    assumptions: { type: "array", items: { type: "string" } },
+    relationships: { type: "array", items: { type: "object" } },
+    possibleFollowUpQuestions: { type: "array", items: { type: "string" } },
+  },
+  required: FOCUSED_ANSWER_SCHEMA_FIELDS,
+  additionalProperties: false,
+};
+
 const FORBIDDEN_GRAPH_MUTATION_FIELDS = [
   "addedNodes",
   "updatedNodes",

lib/llm/provider.js

@@ -96,7 +96,7 @@ function extractOpenAIResponseText(data) {
 }
 
 let _chatSupported = null;
-const reconstructionJsonSchema = z.toJSONSchema(reconstructionV2Schema);
+export const reconstructionJsonSchema = z.toJSONSchema(reconstructionV2Schema);
 const openAIReconstructionJsonSchema = createOpenAIStrictSchema(
   reconstructionJsonSchema,
   reconstructionV2Schema,
@@ -251,7 +251,7 @@ async function detectChatSupport(baseUrl, modelName) {
 }
 
 class OllamaLlmProvider {
-  async generateReconstruction(scenario, modelName) {
+  async generateReconstruction(scenario, modelName, outputSchema) {
     // scenario is ALREADY a fully-built prompt text (built by analyseScenario).
     // Do NOT call buildPrompt() again — that would double-wrap the prompt.
     const prompt = scenario;
@@ -279,7 +279,7 @@ class OllamaLlmProvider {
     providerExecution.chatCapabilityDetected = chatSupported;
 
     // ================================================================
-    // Step 2: Try /api/chat if supported with the reconstruction schema
+    // Step 2: Try /api/chat if supported with the supplied or reconstruction schema
     // ================================================================
     if (chatSupported) {
       try {
@@ -295,7 +295,7 @@ class OllamaLlmProvider {
             model: modelName,
             messages: [{ role: "user", content: prompt }],
             stream: false,
-            format: reconstructionJsonSchema,
+            format: outputSchema ?? reconstructionJsonSchema,
           }),
           signal: controller.signal,
         });