fix: model names

15 files changed, 116 insertions, 117 deletions

diff --git a/apps/docs/ai-sdk/examples.mdx b/apps/docs/ai-sdk/examples.mdx
index cb2b1a7f..61ad8d50 100644
--- a/apps/docs/ai-sdk/examples.mdx
+++ b/apps/docs/ai-sdk/examples.mdx
@@ -98,7 +98,7 @@ export async function POST(request: Request) {
   const { messages, customerId } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
       containerTags: [customerId]
@@ -136,7 +136,7 @@ export async function POST(request: Request) {
   const { messages } = await request.json()
 
   const result = await streamText({
-    model: supermemoryInfiniteChat('gpt-4-turbo'),
+    model: supermemoryInfiniteChat('gpt-5'),
     messages,
     system: `You are a documentation assistant. You have access to all previous
     conversations and can reference earlier discussions. Help users understand
@@ -222,7 +222,7 @@ export async function POST(request: Request) {
   const { messages, projectId } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
       containerTags: [projectId]
@@ -357,7 +357,7 @@ export async function POST(request: Request) {
   const { messages } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: {
       // Spread Supermemory tools
diff --git a/apps/docs/ai-sdk/infinite-chat.mdx b/apps/docs/ai-sdk/infinite-chat.mdx
index b287eb5b..c382bcbf 100644
--- a/apps/docs/ai-sdk/infinite-chat.mdx
+++ b/apps/docs/ai-sdk/infinite-chat.mdx
@@ -45,7 +45,7 @@ const infiniteChat = createOpenAI({
 })
 
 const result = await streamText({
-  model: infiniteChat("gpt-4-turbo"),
+  model: infiniteChat("gpt-5"),
   messages: [...]
 })
 ```
@@ -128,7 +128,7 @@ const infiniteChat = createOpenAI({
 })
 
 const result = await streamText({
-  model: infiniteChat("gpt-4-turbo"),
+  model: infiniteChat("gpt-5"),
   messages: [
     { role: "user", content: "What did we discuss yesterday?" }
   ]
diff --git a/apps/docs/ai-sdk/memory-tools.mdx b/apps/docs/ai-sdk/memory-tools.mdx
index 69b961e1..cc84097f 100644
--- a/apps/docs/ai-sdk/memory-tools.mdx
+++ b/apps/docs/ai-sdk/memory-tools.mdx
@@ -18,7 +18,7 @@ const openai = createOpenAI({
 })
 
 const result = await streamText({
-  model: openai("gpt-4-turbo"),
+  model: openai("gpt-5"),
   prompt: "Remember that my name is Alice",
   tools: supermemoryTools("YOUR_SUPERMEMORY_KEY")
 })
@@ -32,7 +32,7 @@ Semantic search through user memories:
 
 ```typescript
 const result = await streamText({
-  model: openai("gpt-4"),
+  model: openai("gpt-5"),
   prompt: "What are my dietary preferences?",
   tools: supermemoryTools("API_KEY")
 })
@@ -64,7 +64,7 @@ Retrieve specific memory by ID:
 
 ```typescript
 const result = await streamText({
-  model: openai("gpt-4"),
+  model: openai("gpt-5"),
   prompt: "Get the details of memory abc123",
   tools: supermemoryTools("API_KEY")
 })
@@ -87,7 +87,7 @@ import {
 
 // Use only search tool
 const result = await streamText({
-  model: openai("gpt-4"),
+  model: openai("gpt-5"),
   prompt: "What do you know about me?",
   tools: {
     searchMemories: searchMemoriesTool("API_KEY", {
diff --git a/apps/docs/cookbook/ai-sdk-integration.mdx b/apps/docs/cookbook/ai-sdk-integration.mdx
index 9bde2f42..8bdafef7 100644
--- a/apps/docs/cookbook/ai-sdk-integration.mdx
+++ b/apps/docs/cookbook/ai-sdk-integration.mdx
@@ -97,7 +97,7 @@ export async function POST(request: Request) {
   const { messages, customerId } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
       containerTags: [customerId]
@@ -135,7 +135,7 @@ export async function POST(request: Request) {
   const { messages } = await request.json()
 
   const result = await streamText({
-    model: infiniteChat('gpt-4-turbo'),
+    model: infiniteChat('gpt-5'),
     messages,
     system: `You are a documentation assistant. You have access to all previous
     conversations and can reference earlier discussions. Help users understand
@@ -221,7 +221,7 @@ export async function POST(request: Request) {
   const { messages, projectId } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
       containerTags: [projectId]
@@ -354,7 +354,7 @@ export async function POST(request: Request) {
   const { messages } = await request.json()
 
   const result = await streamText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-5'),
     messages,
     tools: {
       // Spread Supermemory tools
diff --git a/apps/docs/cookbook/customer-support.mdx b/apps/docs/cookbook/customer-support.mdx
index 250def78..32e0417e 100644
--- a/apps/docs/cookbook/customer-support.mdx
+++ b/apps/docs/cookbook/customer-support.mdx
@@ -9,7 +9,7 @@ Create a customer support system that remembers every interaction, tracks issues
 
 A customer support bot that:
 - **Remembers customer history** across all conversations and channels
-- **Tracks ongoing issues** and follows up automatically  
+- **Tracks ongoing issues** and follows up automatically
 - **Provides personalized responses** based on customer tier and preferences
 - **Escalates complex issues** to human agents with full context
 - **Learns from resolutions** to improve future responses
@@ -231,7 +231,7 @@ A customer support bot that:
             """Add a customer interaction to memory"""
             try:
                 content = f"{interaction['type'].upper()}: {interaction['content']}"
-                
+
                 result = self.client.memories.add(
                     content=content,
                     container_tag=self._get_container_tag(customer_id),
@@ -378,10 +378,10 @@ Status: {issue['status']}"""
     }
 
     export async function POST(request: Request) {
-      const { 
-        message, 
-        customerId, 
-        customer, 
+      const {
+        message,
+        customerId,
+        customer,
         conversationHistory = [],
         agentId
       } = await request.json()
@@ -410,7 +410,7 @@ ${contextResults.map(c => `- ${c.content.substring(0, 150)}... (${(c.similarity
 
         // Determine if escalation is needed
         const escalationKeywords = ['angry', 'frustrated', 'cancel', 'refund', 'legal', 'complaint', 'manager', 'supervisor']
-        const needsEscalation = escalationKeywords.some(keyword => 
+        const needsEscalation = escalationKeywords.some(keyword =>
           message.toLowerCase().includes(keyword)
         ) || customer.tier === 'enterprise'
 
@@ -445,7 +445,7 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
         ]
 
         const result = await streamText({
-          model: openai('gpt-4-turbo'),
+          model: openai('gpt-5'),
           messages,
           temperature: 0.3,
           maxTokens: 800,
@@ -468,7 +468,7 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
             if (message.length > 50 && !contextResults.some(c => c.similarity > 0.8)) {
               const issueCategory = categorizeIssue(message)
               const priority = determinePriority(customer.tier, message)
-              
+
               await contextManager.trackIssue(customerId, {
                 subject: message.substring(0, 100),
                 description: message,
@@ -506,34 +506,34 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
       }
 
       const messageLower = message.toLowerCase()
-      
+
       for (const [category, keywords] of Object.entries(categories)) {
         if (keywords.some(keyword => messageLower.includes(keyword))) {
           return category
         }
       }
-      
+
       return 'general'
     }
 
     function determinePriority(tier: string, message: string): 'low' | 'medium' | 'high' | 'urgent' {
       const urgentKeywords = ['urgent', 'critical', 'emergency', 'down', 'broken']
       const highKeywords = ['important', 'asap', 'soon', 'problem']
-      
+
       const messageLower = message.toLowerCase()
-      
+
       if (urgentKeywords.some(keyword => messageLower.includes(keyword))) {
         return 'urgent'
       }
-      
+
       if (tier === 'enterprise') {
         return highKeywords.some(keyword => messageLower.includes(keyword)) ? 'urgent' : 'high'
       }
-      
+
       if (tier === 'pro') {
         return highKeywords.some(keyword => messageLower.includes(keyword)) ? 'high' : 'medium'
       }
-      
+
       return 'low'
     }
     ```
@@ -580,29 +580,29 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
         }
 
         message_lower = message.lower()
-        
+
         for category, keywords in categories.items():
             if any(keyword in message_lower for keyword in keywords):
                 return category
-        
+
         return 'general'
 
     def determine_priority(tier: str, message: str) -> str:
         """Determine issue priority based on tier and message content"""
         urgent_keywords = ['urgent', 'critical', 'emergency', 'down', 'broken']
         high_keywords = ['important', 'asap', 'soon', 'problem']
-        
+
         message_lower = message.lower()
-        
+
         if any(keyword in message_lower for keyword in urgent_keywords):
             return 'urgent'
-        
+
         if tier == 'enterprise':
             return 'urgent' if any(keyword in message_lower for keyword in high_keywords) else 'high'
-        
+
         if tier == 'pro':
             return 'high' if any(keyword in message_lower for keyword in high_keywords) else 'medium'
-        
+
         return 'low'
 
     @app.post("/support/chat")
@@ -662,7 +662,7 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
             ]
 
             response = await openai_client.chat.completions.create(
-                model="gpt-4-turbo",
+                model="gpt-5",
                 messages=messages,
                 temperature=0.3,
                 max_tokens=800,
@@ -676,7 +676,7 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
                         content = chunk.choices[0].delta.content
                         full_response += content
                         yield f"data: {json.dumps({'content': content})}\n\n"
-                
+
                 # Store interaction after completion
                 context_manager.add_interaction(request.customerId, {
                     'type': 'chat',
@@ -695,7 +695,7 @@ If you cannot resolve the issue completely, prepare a clear summary for escalati
                 if len(request.message) > 50 and not any(c['similarity'] > 0.8 for c in context_results):
                     issue_category = categorize_issue(request.message)
                     priority = determine_priority(request.customer.tier, request.message)
-                    
+
                     context_manager.track_issue(request.customerId, {
                         'subject': request.message[:100],
                         'description': request.message,
@@ -750,7 +750,7 @@ export default function SupportDashboard() {
   const [tickets, setTickets] = useState<SupportTicket[]>([])
   const [showEscalation, setShowEscalation] = useState(false)
   const [agentId] = useState('agent_001') // In real app, get from auth
-  
+
   const contextManager = new CustomerContextManager()
 
   const { messages, input, handleInputChange, handleSubmit, isLoading } = useChat({
@@ -781,7 +781,7 @@ export default function SupportDashboard() {
       joinDate: '2023-06-15'
     },
     {
-      id: 'cust_002', 
+      id: 'cust_002',
       name: 'TechCorp Inc',
       email: '[email protected]',
       tier: 'enterprise',
@@ -978,7 +978,7 @@ export default function SupportDashboard() {
                         </span>
                       </div>
                       <p className="text-gray-700 line-clamp-3">
-                        {interaction.content.length > 100 
+                        {interaction.content.length > 100
                           ? `${interaction.content.substring(0, 100)}...`
                           : interaction.content
                         }
@@ -986,10 +986,10 @@ export default function SupportDashboard() {
                       {interaction.outcome && (
                         <div className="mt-2">
                           <span className={`text-xs px-2 py-1 rounded ${
-                            interaction.outcome === 'resolved' 
+                            interaction.outcome === 'resolved'
                               ? 'bg-green-100 text-green-800'
                               : interaction.outcome === 'escalated'
-                              ? 'bg-red-100 text-red-800' 
+                              ? 'bg-red-100 text-red-800'
                               : 'bg-yellow-100 text-yellow-800'
                           }`}>
                             {interaction.outcome}
@@ -1044,4 +1044,4 @@ This comprehensive customer support recipe provides the foundation for building
 
 ---
 
-*Customize this recipe based on your specific support workflows and customer needs.*
\ No newline at end of file
+*Customize this recipe based on your specific support workflows and customer needs.*
diff --git a/apps/docs/cookbook/document-qa.mdx b/apps/docs/cookbook/document-qa.mdx
index c3bc224e..d11e947b 100644
--- a/apps/docs/cookbook/document-qa.mdx
+++ b/apps/docs/cookbook/document-qa.mdx
@@ -9,7 +9,7 @@ Create a powerful document Q&A system that can ingest PDFs, text files, and web
 
 A document Q&A system that:
 - **Ingests multiple file types** (PDFs, DOCX, text, URLs)
-- **Answers questions accurately** with source citations  
+- **Answers questions accurately** with source citations
 - **Provides source references** with page numbers and document titles
 - **Handles follow-up questions** with conversation context
 - **Supports multiple document collections** for different topics
@@ -192,7 +192,7 @@ A document Q&A system that:
             """Upload a local file to Supermemory"""
             if metadata is None:
                 metadata = {}
-            
+
             try:
                 with open(file_path, 'rb') as file:
                     result = self.client.memories.upload_file(
@@ -214,7 +214,7 @@ A document Q&A system that:
             """Upload URL content to Supermemory"""
             if metadata is None:
                 metadata = {}
-            
+
             try:
                 result = self.client.memories.add(
                     content=url,
@@ -258,11 +258,11 @@ A document Q&A system that:
                 return [
                     {
                         'id': memory.id,
-                        'title': (memory.title or 
-                                memory.metadata.get('originalName') or 
+                        'title': (memory.title or
+                                memory.metadata.get('originalName') or
                                 'Untitled' if memory.metadata else 'Untitled'),
-                        'type': (memory.metadata.get('fileType') or 
-                               memory.metadata.get('type') or 
+                        'type': (memory.metadata.get('fileType') or
+                               memory.metadata.get('type') or
                                'unknown' if memory.metadata else 'unknown'),
                         'uploadedAt': memory.metadata.get('uploadedAt') if memory.metadata else None,
                         'status': memory.status,
@@ -349,9 +349,9 @@ A document Q&A system that:
         ]
 
         const result = await streamText({
-          model: openai('gpt-4-turbo'),
+          model: openai('gpt-5'),
           messages,
-          system: `You are a helpful document Q&A assistant. Answer questions based ONLY on the provided document context. 
+          system: `You are a helpful document Q&A assistant. Answer questions based ONLY on the provided document context.
 
 CONTEXT FROM DOCUMENTS:
 ${context}
@@ -450,13 +450,13 @@ If the question cannot be answered from the provided documents, respond with: "I
 
             for index, result in enumerate(search_results.results):
                 relevant_chunks = [
-                    chunk.content for chunk in result.chunks 
+                    chunk.content for chunk in result.chunks
                     if chunk.is_relevant
                 ][:3]
-                
+
                 chunk_text = '\n\n'.join(relevant_chunks)
                 context_parts.append(f'[Document {index + 1}: "{result.title}"]\n{chunk_text}')
-                
+
                 sources.append({
                     'id': result.document_id,
                     'title': result.title,
@@ -472,7 +472,7 @@ If the question cannot be answered from the provided documents, respond with: "I
             messages = [
                 {
                     "role": "system",
-                    "content": f"""You are a helpful document Q&A assistant. Answer questions based ONLY on the provided document context. 
+                    "content": f"""You are a helpful document Q&A assistant. Answer questions based ONLY on the provided document context.
 
 CONTEXT FROM DOCUMENTS:
 {context}
@@ -500,7 +500,7 @@ If the question cannot be answered from the provided documents, respond with: "I
 
             # Get AI response
             response = await openai_client.chat.completions.create(
-                model="gpt-4-turbo",
+                model="gpt-5",
                 messages=messages,
                 temperature=0.1,
                 max_tokens=1000
@@ -557,7 +557,7 @@ export default function DocumentQA() {
   const [isUploading, setIsUploading] = useState(false)
   const [uploadProgress, setUploadProgress] = useState<Record<string, number>>({})
   const fileInputRef = useRef<HTMLInputElement>(null)
-  
+
   const processor = new DocumentProcessor()
 
   const { messages, input, handleInputChange, handleSubmit, isLoading } = useChat({
@@ -599,7 +599,7 @@ export default function DocumentQA() {
 
       // Refresh document list
       await loadDocuments()
-      
+
       // Clear file input
       if (fileInputRef.current) {
         fileInputRef.current.value = ''
@@ -653,7 +653,7 @@ export default function DocumentQA() {
         <div className="lg:col-span-1">
           <div className="bg-white border border-gray-200 rounded-lg p-6">
             <h2 className="text-lg font-semibold mb-4">Document Collection</h2>
-            
+
             {/* Collection Selector */}
             <div className="mb-4">
               <label className="block text-sm font-medium text-gray-700 mb-2">
@@ -732,13 +732,13 @@ export default function DocumentQA() {
         <div className="lg:col-span-2">
           <div className="bg-white border border-gray-200 rounded-lg p-6">
             <h2 className="text-lg font-semibold mb-4">Ask Questions</h2>
-            
+
             {/* Messages */}
             <div className="h-96 overflow-y-auto mb-4 space-y-4">
               {messages.length === 0 && (
                 <div className="text-gray-500 text-center py-8">
                   Upload documents and ask questions to get started!
-                  
+
                   <div className="mt-4 text-sm">
                     <p className="font-medium">Try asking:</p>
                     <ul className="mt-2 space-y-1">
@@ -760,7 +760,7 @@ export default function DocumentQA() {
                   }`}
                 >
                   <div className="whitespace-pre-wrap">{message.content}</div>
-                  
+
                   {message.role === 'assistant' && sources.length > 0 && (
                     formatSources(sources)
                   )}
@@ -880,4 +880,4 @@ This recipe provides a complete foundation for building document Q&A systems wit
 
 ---
 
-*Customize this recipe based on your specific document types and use cases.*
\ No newline at end of file
+*Customize this recipe based on your specific document types and use cases.*
diff --git a/apps/docs/cookbook/personal-assistant.mdx b/apps/docs/cookbook/personal-assistant.mdx
index 2c977660..c13b7471 100644
--- a/apps/docs/cookbook/personal-assistant.mdx
+++ b/apps/docs/cookbook/personal-assistant.mdx
@@ -73,7 +73,7 @@ A personal AI assistant that:
       const { messages, userId = 'default-user' } = await request.json()
 
       const result = await streamText({
-        model: openai('gpt-4-turbo'),
+        model: openai('gpt-5'),
         messages,
         tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
           containerTags: [userId]
@@ -190,7 +190,7 @@ A personal AI assistant that:
 
         try:
             response = await openai_client.chat.completions.create(
-                model="gpt-4-turbo",
+                model="gpt-5",
                 messages=enhanced_messages,
                 stream=True,
                 temperature=0.7
diff --git a/apps/docs/memory-api/sdks/openai-plugins.mdx b/apps/docs/memory-api/sdks/openai-plugins.mdx
index 6550cee3..635e0008 100644
--- a/apps/docs/memory-api/sdks/openai-plugins.mdx
+++ b/apps/docs/memory-api/sdks/openai-plugins.mdx
@@ -53,7 +53,7 @@ async def main():
 
     # Chat with memory tools
     response = await client.chat.completions.create(
-        model="gpt-4o",
+        model="gpt-5",
         messages=[
             {
                 "role": "system",
@@ -99,7 +99,7 @@ const executeToolCall = createToolCallExecutor(process.env.SUPERMEMORY_API_KEY!,
 
 // Use with OpenAI Chat Completions
 const completion = await client.chat.completions.create({
-  model: "gpt-4",
+  model: "gpt-5",
   messages: [
     {
       role: "user",
@@ -300,7 +300,7 @@ async def chat_with_memory():
 
         # Get AI response with tools
         response = await client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5",
             messages=messages,
             tools=tools.get_tool_definitions()
         )
@@ -319,7 +319,7 @@ async def chat_with_memory():
 
             # Get final response after tool execution
             final_response = await client.chat.completions.create(
-                model="gpt-4o",
+                model="gpt-5",
                 messages=messages
             )
 
@@ -370,7 +370,7 @@ async function chatWithMemory() {
 
       // Get AI response with tools
       const response = await client.chat.completions.create({
-        model: "gpt-4",
+        model: "gpt-5",
         messages,
         tools: getToolDefinitions(),
       })
@@ -391,7 +391,7 @@ async function chatWithMemory() {
 
         // Get final response after tool execution
         const finalResponse = await client.chat.completions.create({
-          model: "gpt-4",
+          model: "gpt-5",
           messages,
         })
 
@@ -433,7 +433,7 @@ async def safe_chat():
         tools = SupermemoryTools(api_key="your-api-key")
 
         response = await client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5",
             messages=[{"role": "user", "content": "Hello"}],
             tools=tools.get_tool_definitions()
         )
@@ -453,7 +453,7 @@ async function safeChat() {
     const client = new OpenAI()
 
     const response = await client.chat.completions.create({
-      model: "gpt-4",
+      model: "gpt-5",
       messages: [{ role: "user", content: "Hello" }],
       tools: getToolDefinitions(),
     })
diff --git a/apps/docs/memory-router/usage.mdx b/apps/docs/memory-router/usage.mdx
index 61dadfbf..68dad6f6 100644
--- a/apps/docs/memory-router/usage.mdx
+++ b/apps/docs/memory-router/usage.mdx
@@ -81,7 +81,7 @@ https://api.supermemory.ai/v3/https://api.groq.com/openai/v1/
 
     # Use as normal
     response = client.chat.completions.create(
-        model="gpt-4",
+        model="gpt-5",
         messages=[
             {"role": "user", "content": "Hello!"}
         ]
@@ -106,7 +106,7 @@ https://api.supermemory.ai/v3/https://api.groq.com/openai/v1/
 
     // Use as normal
     const response = await client.chat.completions.create({
-      model: 'gpt-4',
+      model: 'gpt-5',
       messages: [
         { role: 'user', content: 'Hello!' }
       ]
@@ -124,7 +124,7 @@ https://api.supermemory.ai/v3/https://api.groq.com/openai/v1/
       -H "x-sm-user-id: user123" \
       -H "Content-Type: application/json" \
       -d '{
-        "model": "gpt-4",
+        "model": "gpt-5",
         "messages": [{"role": "user", "content": "Hello!"}]
       }'
     ```
@@ -162,7 +162,7 @@ curl -X POST "https://api.supermemory.ai/v3/https://api.openai.com/v1/chat/compl
   -H "Authorization: Bearer YOUR_OPENAI_API_KEY" \
   -H "x-supermemory-api-key: YOUR_SUPERMEMORY_API_KEY" \
   -H "Content-Type: application/json" \
-  -d '{"model": "gpt-4", "messages": [{"role": "user", "content": "Hello!"}]}'
+  -d '{"model": "gpt-5", "messages": [{"role": "user", "content": "Hello!"}]}'
 ```
 
 </CodeGroup>
@@ -176,7 +176,7 @@ Use `x-sm-conversation-id` to maintain conversation context across requests:
 ```python
 # Start a new conversation
 response1 = client.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=[{"role": "user", "content": "My name is Alice"}],
     extra_headers={
         "x-sm-conversation-id": "conv_123"
@@ -185,7 +185,7 @@ response1 = client.chat.completions.create(
 
 # Continue the same conversation later
 response2 = client.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=[{"role": "user", "content": "What's my name?"}],
     extra_headers={
         "x-sm-conversation-id": "conv_123"
diff --git a/apps/docs/memory-router/with-memory-api.mdx b/apps/docs/memory-router/with-memory-api.mdx
index fcb09361..ae4396c2 100644
--- a/apps/docs/memory-router/with-memory-api.mdx
+++ b/apps/docs/memory-router/with-memory-api.mdx
@@ -40,7 +40,7 @@ router_client = OpenAI(
 
 # Router automatically has access to the API-created memory
 response = router_client.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=[{"role": "user", "content": "What language should I use for my new backend?"}]
 )
 # Response will consider the Python preference
@@ -66,7 +66,7 @@ router_client = OpenAI(
 
 # Agent has automatic access to product docs
 response = router_client.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=[{"role": "user", "content": "How does the enterprise pricing work?"}]
 )
 ```
diff --git a/apps/docs/migration/from-mem0.mdx b/apps/docs/migration/from-mem0.mdx
index e24a5548..5a6ccb83 100644
--- a/apps/docs/migration/from-mem0.mdx
+++ b/apps/docs/migration/from-mem0.mdx
@@ -9,7 +9,7 @@ Migrating from Mem0.ai to Supermemory is straightforward. This guide walks you t
 ## Why Migrate to Supermemory?
 
 Supermemory offers enhanced capabilities over Mem0.ai:
-- **Memory Router** for zero-code LLM integration  
+- **Memory Router** for zero-code LLM integration
 - **Knowledge graph** architecture for better context relationships
 - **Multiple content types** (URLs, PDFs, images, videos)
 - **Generous free tier** (100k tokens) with affordable pricing
@@ -58,17 +58,17 @@ print("Migration complete!")
     3. Download your memories as JSON
 
     ### Option 2: Export via API
-    
+
     Simple script to export all your memories from Mem0:
 
     ```python
     from mem0 import MemoryClient
     import json
     import time
-    
+
     # Connect to Mem0
     client = MemoryClient(api_key="your_mem0_api_key")
-    
+
     # Create export job
     schema = {
         "type": "object",
@@ -87,19 +87,19 @@ print("Migration complete!")
             }
         }
     }
-    
+
     response = client.create_memory_export(schema=schema, filters={})
     export_id = response["id"]
-    
+
     # Wait and retrieve
     print("Exporting memories...")
     time.sleep(5)
     export_data = client.get_memory_export(memory_export_id=export_id)
-    
+
     # Save to file
     with open("mem0_export.json", "w") as f:
         json.dump(export_data, f, indent=2)
-    
+
     print(f"Exported {len(export_data['memories'])} memories")
     ```
   </Step>
@@ -110,7 +110,7 @@ print("Migration complete!")
     1. Sign up at [console.supermemory.ai](https://console.supermemory.ai)
     2. Create a new project
     3. Generate an API key from the dashboard
-    
+
     ```bash
     # Set your environment variable
     export SUPERMEMORY_API_KEY="your_supermemory_api_key"
@@ -123,22 +123,22 @@ print("Migration complete!")
     ```python
     import json
     from supermemory import Supermemory
-    
+
     # Load your Mem0 export
     with open("mem0_export.json", "r") as f:
         mem0_data = json.load(f)
-    
+
     # Connect to Supermemory
     client = Supermemory(api_key="your_supermemory_api_key")
-    
+
     # Import memories
     for memory in mem0_data["memories"]:
         content = memory.get("content", "")
-        
+
         # Skip empty memories
         if not content:
             continue
-        
+
         # Import to Supermemory
         try:
             result = client.memories.add(
@@ -153,7 +153,7 @@ print("Migration complete!")
             print(f"Imported: {content[:50]}...")
         except Exception as e:
             print(f"Failed: {e}")
-    
+
     print("Migration complete!")
     ```
   </Step>
@@ -264,7 +264,7 @@ messages = [
 ]
 
 response = openai.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=messages
 )
 ```
@@ -284,7 +284,7 @@ client = OpenAI(
 
 # Memories handled automatically!
 response = client.chat.completions.create(
-    model="gpt-4",
+    model="gpt-5",
     messages=[{"role": "user", "content": "What are my preferences?"}]
 )
 ```
@@ -300,4 +300,3 @@ For enterprise migrations, [contact us](mailto:[email protected]) for assi
 1. [Explore](/how-it-works) how Supermemory works
 2. Read the [quickstart](/quickstart) and add and retrieve your first memories
 3. [Connect](/connectors/overview) to Google Drive, Notion, and OneDrive with automatic syncing
-
diff --git a/apps/docs/model-enhancement/context-extender.mdx b/apps/docs/model-enhancement/context-extender.mdx
index 0f165f1e..a7d7897e 100644
--- a/apps/docs/model-enhancement/context-extender.mdx
+++ b/apps/docs/model-enhancement/context-extender.mdx
@@ -77,7 +77,7 @@ openai.default_headers = {
 
 # Create a chat completion with unlimited context
 response = openai.ChatCompletion.create(
-  model="gpt-4o-mini",
+  model="gpt-5-nano",
   messages=[{"role": "user", "content": "Your message here"}]
 )
 ```
diff --git a/apps/docs/model-enhancement/getting-started.mdx b/apps/docs/model-enhancement/getting-started.mdx
index 9faa7eba..7af3bfab 100644
--- a/apps/docs/model-enhancement/getting-started.mdx
+++ b/apps/docs/model-enhancement/getting-started.mdx
@@ -60,7 +60,7 @@ curl https://api.supermemory.ai/v3/https://api.openai.com/v1/chat/completions \
   -H "x-supermemory--api-key: $SUPERMEMORY_API_KEY" \
   -H 'x-sm-user-id: user_id' \
   -d '{
-    "model": "gpt-4o",
+    "model": "gpt-5",
     "messages": [
       {"role": "user", "content": "What is the capital of France?"}
     ]
@@ -85,7 +85,7 @@ const openai = new OpenAI({
 });
 
 const completion = await openai.chat.completions.create({
-  model: "gpt-4o",
+  model: "gpt-5",
 /// you can also add user here
   user: "user",
   messages: [
diff --git a/apps/docs/model-enhancement/identifying-users.mdx b/apps/docs/model-enhancement/identifying-users.mdx
index 518f046a..cdc1bbf2 100644
--- a/apps/docs/model-enhancement/identifying-users.mdx
+++ b/apps/docs/model-enhancement/identifying-users.mdx
@@ -15,18 +15,18 @@ You can add a default header of x-sm-user-id with any client and model
 
 ### `user` in body
 
-For models that support the `user` parameter in the body, such as OpenAI, you can also attach it to the body. 
+For models that support the `user` parameter in the body, such as OpenAI, you can also attach it to the body.
 
 ### `userId` in search params
 
-You can also add `?userId=xyz` in the URL search parameters, incase the models don't support it. 
+You can also add `?userId=xyz` in the URL search parameters, incase the models don't support it.
 
 ## Conversation ID
 
-If a conversation identifier is provided, You do not need to send the entire array of messages to supermemory. 
+If a conversation identifier is provided, You do not need to send the entire array of messages to supermemory.
 
 ```typescript
-// if you provide conversation ID, You do not need to send all the messages every single time. supermemory automatically backfills it. 
+// if you provide conversation ID, You do not need to send all the messages every single time. supermemory automatically backfills it.
 const client = new OpenAI({
     baseURL:
 "https://api.supermemory.ai/v3/https://api.openai.com/v1",
@@ -93,7 +93,7 @@ async function main() {
       'x-sm-user-id': "user_123"
     }
   });
-  
+
   console.debug(msg);
 }
 ```
@@ -110,10 +110,10 @@ async function main() {
     messages: [
       { role: "user", content: "Hello, Assistant" }
     ],
-    model: "gpt-4o",
+    model: "gpt-5",
     user: "user_123"
   });
-  
+
   console.debug(completion.choices[0].message);
 }
-```
\ No newline at end of file
+```
diff --git a/apps/docs/quickstart.mdx b/apps/docs/quickstart.mdx
index 131bfd6f..b0d12fad 100644
--- a/apps/docs/quickstart.mdx
+++ b/apps/docs/quickstart.mdx
@@ -466,7 +466,7 @@ https://api.supermemory.ai/v3/[openai-api-url-here]
     async function chatWithOpenAI() {
     try {
         const response = await client.chat.completions.create({
-        model: 'gpt-4o',
+        model: 'gpt-5',
         messages: [
             { role: 'user', content: 'Hello my name is Naman. How are you?' }
         ],
@@ -639,7 +639,7 @@ https://api.supermemory.ai/v3/[openai-api-url-here]
         def chat_with_openai():
             try:
                 response = client.chat.completions.create(
-                    model="gpt-4o",
+                    model="gpt-5",
                     messages=[
                         {"role": "user", "content": "Hello my name is Naman. How are you?"}
                     ],
@@ -785,7 +785,7 @@ https://api.supermemory.ai/v3/[openai-api-url-here]
         -H "x-supermemory-api-key: $SUPERMEMORY_API_KEY" \
         -H "x-sm-user-id: user_123" \
         -d '{
-            "model": "gpt-4o",
+            "model": "gpt-5",
             "messages": [
             {"role": "user", "content": "Hello my name is Naman. How are you?"}
             ],