[Update] Default LLM (#3587)

examples/misc/diet_assistant_voice_cartesia.py

@@ -37,7 +37,7 @@ food_agent = Agent(
     name="Personal Food Assistant",
     description="Provides personalized food recommendations with memory and generates voice responses using Cartesia TTS tools.",
     instructions=agent_instructions,
-    model=OpenAIChat(id="gpt-4o"),
+    model=OpenAIChat(id="gpt-4.1-nano-2025-04-14"),
     tools=[CartesiaTools(voice_localize_enabled=True)],
     show_tool_calls=True,
 )

examples/misc/fitness_checker.py

@@ -1,6 +1,6 @@
 """
 Simple Fitness Memory Tracker that tracks your fitness progress and knows your health priorities.
-Uses Mem0 for memory and GPT-4o for image understanding.
+Uses Mem0 for memory and gpt-4.1-nano for image understanding.
 
 In order to run this file, you need to set up your Mem0 API at Mem0 platform and also need an OpenAI API key.
 export OPENAI_API_KEY="your_openai_api_key"
@@ -18,7 +18,7 @@ USER_ID = "Anish"
 
 agent = Agent(
     name="Fitness Agent",
-    model=OpenAIChat(id="gpt-4o"),
+    model=OpenAIChat(id="gpt-4.1-nano-2025-04-14"),
     description="You are a helpful fitness assistant who remembers past logs and gives personalized suggestions for Anish's training and diet.",
     markdown=True,
 )

examples/misc/multillm_memory.py

@@ -34,7 +34,7 @@ memory = MemoryClient()
 # Research team models with specialized roles
 RESEARCH_TEAM = {
     "tech_analyst": {
-        "model": "gpt-4o",
+        "model": "gpt-4.1-nano-2025-04-14",
         "role": "Technical Analyst - Code review, architecture, and technical decisions",
     },
     "writer": {
@@ -42,7 +42,7 @@ RESEARCH_TEAM = {
         "role": "Documentation Writer - Clear explanations and user guides",
     },
     "data_analyst": {
-        "model": "gpt-4o-mini",
+        "model": "gpt-4.1-nano-2025-04-14",
         "role": "Data Analyst - Insights, trends, and data-driven recommendations",
     },
 }

examples/misc/personal_assistant_agno.py

@@ -21,7 +21,7 @@ client = MemoryClient()
 # Define the agent
 agent = Agent(
     name="Personal Agent",
-    model=OpenAIChat(id="gpt-4o"),
+    model=OpenAIChat(id="gpt-4.1-nano-2025-04-14"),
     description="You are a helpful personal agent that helps me with day to day activities."
     "You can process both text and images.",
     markdown=True,

examples/misc/personalized_search.py

@@ -35,7 +35,7 @@ BE IT TIME, LOCATION, USER'S PERSONAL LIFE, CHOICES, USER'S PREFERENCES, we need
 '''
 )
 
-llm = ChatOpenAI(model="gpt-4o-mini", temperature=0.2)
+llm = ChatOpenAI(model="gpt-4.1-nano-2025-04-14", temperature=0.2)
 
 
 def setup_user_history(user_id):

examples/misc/test.py

@@ -35,7 +35,7 @@ travel_agent = Agent(
     understand the user's travel preferences and history before making recommendations.
     After providing your response, use store_conversation to save important details.""",
     tools=[search_memory, save_memory],
-    model="gpt-4o",
+    model="gpt-4.1-nano-2025-04-14",
 )
 
 health_agent = Agent(
@@ -44,7 +44,7 @@ health_agent = Agent(
     understand the user's health goals and dietary preferences.
     After providing advice, use store_conversation to save relevant information.""",
     tools=[search_memory, save_memory],
-    model="gpt-4o",
+    model="gpt-4.1-nano-2025-04-14",
 )
 
 # Triage agent with handoffs
@@ -55,7 +55,7 @@ triage_agent = Agent(
     For health-related questions (fitness, diet, wellness, exercise), hand off to Health Advisor.
     For general questions, you can handle them directly using available tools.""",
     handoffs=[travel_agent, health_agent],
-    model="gpt-4o",
+    model="gpt-4.1-nano-2025-04-14",
 )