fix: Comment out setTemperature calls for deterministic output in agents and utils

src/lib/agents/analyzerAgent.ts

@@ -59,7 +59,7 @@ export class AnalyzerAgent {
 
   async execute(state: typeof AgentState.State): Promise<Command> {
     try {
-      setTemperature(this.llm, 0.0);
+      //setTemperature(this.llm, 0.0);
 
       // Initialize originalQuery if not set
       if (!state.originalQuery) {

src/lib/agents/taskManagerAgent.ts

@@ -39,7 +39,7 @@ export class TaskManagerAgent {
    */
   async execute(state: typeof AgentState.State): Promise<Command> {
     try {
-      setTemperature(this.llm, 0); // Set temperature to 0 for deterministic output
+      //setTemperature(this.llm, 0); // Set temperature to 0 for deterministic output
 
       // Check if we're in task progression mode (tasks already exist and we're processing them)
       if (state.tasks && state.tasks.length > 0) {

src/lib/agents/webSearchAgent.ts

@@ -54,7 +54,7 @@ export class WebSearchAgent {
    */
   async execute(state: typeof AgentState.State): Promise<Command> {
     try {
-      setTemperature(this.llm, 0); // Set temperature to 0 for deterministic output
+      //setTemperature(this.llm, 0); // Set temperature to 0 for deterministic output
 
       // Determine current task to process
       const currentTask =

src/lib/utils/analyzePreviewContent.ts

@@ -19,7 +19,7 @@ export type PreviewContent = {
 // Zod schema for structured preview analysis output
 const PreviewAnalysisSchema = z.object({
   isSufficient: z.boolean().describe('Whether the preview content is sufficient to answer the task query'),
-  reason: z.string().optional().nullable().describe('Specific reason why full content analysis is required (only if isSufficient is false)')
+  reason: z.string().nullable().describe('Specific reason why full content analysis is required (only if isSufficient is false)')
 });
 
 export const analyzePreviewContent = async (
@@ -80,11 +80,6 @@ Snippet: ${content.snippet}
 - Be specific in your reasoning when the content is not sufficient
 - The original query is provided for additional context, only use it for clarification of overall expectations and intent. You do **not** need to answer the original query directly or completely
 
-# Response Format
-You must return a JSON object with:
-- isSufficient: boolean indicating whether preview content is sufficient
-- reason: string explaining why full content analysis is required (only if isSufficient is false)
-
 # Information Context:
 Today's date is ${formatDateForLLM(new Date())}
 
@@ -99,6 +94,11 @@ ${taskQuery}
 
 # Search Result Previews to Analyze:
 ${formattedPreviewContent}
+
+# Response Format
+You must return a JSON object with:
+- isSufficient: boolean indicating whether preview content is sufficient
+- reason: string explaining why full content analysis is required (only if isSufficient is false)
 `,
       { signal },
     );

src/lib/utils/summarizeWebContent.ts

@@ -3,6 +3,7 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { formatDateForLLM } from '../utils';
 import { getWebContent } from './documents';
 import { removeThinkingBlocks } from './contentUtils';
+import { setTemperature } from './modelUtils';
 
 export type SummarizeResult = {
   document: Document | null;
@@ -17,6 +18,7 @@ export const summarizeWebContent = async (
   signal: AbortSignal,
 ): Promise<SummarizeResult> => {
   try {
+    setTemperature(llm, 0); // Set temperature to 0 for deterministic output
     // Helper function to summarize content and check relevance
     const summarizeContent = async (
       content: Document,
@@ -140,5 +142,8 @@ ${i === 0 ? content.metadata.html : content.pageContent}`;
       document: null,
       notRelevantReason: `Error processing URL: ${error instanceof Error ? error.message : 'Unknown error'}`,
     };
+  } finally {
+    // Reset temperature to default after processing
+    setTemperature(llm);
   }
 };