fix(confidence-engine): supply focused deconstruction schema

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,
         });