updated the default model to gpt-4.1-mini in examples

fern/calls/customer-join-timeout.mdx

@@ -62,7 +62,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
       name: "Customer Support Assistant",
       model: {
         provider: "openai",
-        model: "gpt-4"
+        model: "gpt-4.1-mini"
       },
       voice: {
         provider: "11labs",
@@ -78,7 +78,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
 
     assistant = client.assistants.create(
       name="Customer Support Assistant",
-      model={"provider": "openai", "model": "gpt-4"},
+      model={"provider": "openai", "model": "gpt-4.1-mini"},
       voice={"provider": "11labs", "voiceId": "21m00Tcm4TlvDq8ikWAM"},
       customer_join_timeout_seconds=30
     )
@@ -89,7 +89,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
          -H "Content-Type: application/json" \
          -d '{
            "name": "Customer Support Assistant",
-           "model": {"provider": "openai", "model": "gpt-4"},
+           "model": {"provider": "openai", "model": "gpt-4.1-mini"},
            "voice": {"provider": "11labs", "voiceId": "21m00Tcm4TlvDq8ikWAM"},
            "customerJoinTimeoutSeconds": 30
          }'
@@ -130,7 +130,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
     ```typescript title="TypeScript (Server SDK)"
     const call = await client.calls.createWeb({
       assistant: {
-        model: { provider: "openai", model: "gpt-3.5-turbo" },
+        model: { provider: "openai", model: "gpt-4.1-mini" },
         voice: { provider: "playht", voiceId: "jennifer" },
         customerJoinTimeoutSeconds: 60
       }
@@ -139,7 +139,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
     ```python title="Python (Server SDK)"
     call = client.calls.create_web(
       assistant={
-        "model": {"provider": "openai", "model": "gpt-3.5-turbo"},
+        "model": {"provider": "openai", "model": "gpt-4.1-mini"},
         "voice": {"provider": "playht", "voiceId": "jennifer"},
         "customer_join_timeout_seconds": 60
       }
@@ -151,7 +151,7 @@ Configure `customerJoinTimeoutSeconds` through the Vapi API for both permanent a
          -H "Content-Type: application/json" \
          -d '{
            "assistant": {
-             "model": {"provider": "openai", "model": "gpt-3.5-turbo"},
+             "model": {"provider": "openai", "model": "gpt-4.1-mini"},
              "voice": {"provider": "playht", "voiceId": "jennifer"},
              "customerJoinTimeoutSeconds": 60
            }

fern/customization/custom-llm/using-your-server.mdx

@@ -4,11 +4,11 @@ slug: customization/custom-llm/using-your-server
 ---
 
 
-This guide provides a comprehensive walkthrough on integrating Vapi with OpenAI's gpt-3.5-turbo-instruct model using a custom LLM configuration. We'll leverage Ngrok to expose a local development environment for testing and demonstrate the communication flow between Vapi and your LLM.
+This guide provides a comprehensive walkthrough on integrating Vapi with OpenAI's gpt-4.1-mini model using a custom LLM configuration. We'll leverage Ngrok to expose a local development environment for testing and demonstrate the communication flow between Vapi and your LLM.
 ## Prerequisites
 
 - **Vapi Account**: Access to the Vapi Dashboard for configuration.
-- **OpenAI API Key**: With access to the gpt-3.5-turbo-instruct model.
+- **OpenAI API Key**: With access to the gpt-4.1-mini model.
 - **Python Environment**: Set up with the OpenAI library (`pip install openai`).
 - **Ngrok**: For exposing your local server to the internet.
 - **Code Reference**: Familiarize yourself with the `/openai-sse/chat/completions` endpoint function in the provided Github repository: [Server-Side Example Python Flask](https://github.com/VapiAI/server-side-example-python-flask/blob/main/app/api/custom_llm.py).
@@ -31,7 +31,7 @@ def chat_completions():
     # ...
 
     response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo-instruct",
+        model="gpt-4.1-mini",
         messages=[
             {"role": "system", "content": "You are a helpful assistant."},
             # ... (Add messages from conversation history and current prompt)
@@ -111,7 +111,7 @@ Your Python script receives the POST request and the chat_completions function i
 The script parses the JSON data, extracts relevant information (prompt, conversation history), and builds the prompt for the OpenAI API call.
 
 **4. Call to OpenAI API:**
-The constructed prompt is sent to the gpt-3.5-turbo-instruct model using the openai.ChatCompletion.create method.
+The constructed prompt is sent to the gpt-4.1-mini model using the openai.ChatCompletion.create method.
 
 **5. Receive and Format Response:**
 The response from OpenAI, containing the generated text, is received and formatted according to Vapi's expected structure.
@@ -122,7 +122,7 @@ The formatted response is sent back to Vapi as a JSON object.
 **7. Vapi Displays Response:**
 Vapi receives the response and displays the generated text within the conversation interface to the user.
 
-By following these detailed steps and understanding the communication flow, you can successfully connect Vapi to OpenAI's gpt-3.5-turbo-instruct model and create powerful conversational experiences within your Vapi applications. The provided code example and reference serve as a starting point for you to build and customize your integration based on your specific needs.
+By following these detailed steps and understanding the communication flow, you can successfully connect Vapi to OpenAI's gpt-4.1-mini model and create powerful conversational experiences within your Vapi applications. The provided code example and reference serve as a starting point for you to build and customize your integration based on your specific needs.
 
 **Video Tutorial:**
   <iframe

fern/snippets/quickstart/dashboard/assistant-setup-inbound.mdx

@@ -51,7 +51,7 @@
 
   </Accordion>
   <Accordion title="Model Setup" icon="microchip" iconType="solid">
-    Now we're going to set the "brains" of the assistant, the large language model. We're going to be using `GPT-4` (from [OpenAI](https://openai.com/)) for this demo (though you're free to use `GPT-3.5`, or any one of your favorite LLMs).
+    Now we're going to set the "brains" of the assistant, the large language model. We're going to be using `GPT-4` (from [OpenAI](https://openai.com/)) for this demo (though you're free to use `GPT-4.1-mini`, or any one of your favorite LLMs).
 
     <AccordionGroup>
       <Accordion title="Set Your OpenAI Provider Key (optional)" icon="key" iconType="solid">