Updated 'How to call functions with chat models' cookbook to use GPT-… (#2072)

Author: jordanellis-oai

examples/How_to_call_functions_with_chat_models.ipynb

@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "dab872c5",
    "metadata": {
     "ExecuteTime": {
@@ -66,7 +66,7 @@
     "from tenacity import retry, wait_random_exponential, stop_after_attempt\n",
     "from termcolor import colored  \n",
     "\n",
-    "GPT_MODEL = \"gpt-4o\"\n",
+    "GPT_MODEL = \"gpt-5\"\n",
     "client = OpenAI()"
    ]
   },
@@ -515,7 +515,7 @@
    "source": [
     "### Parallel Function Calling\n",
     "\n",
-    "Newer models such as gpt-4o or gpt-3.5-turbo can call multiple functions in one turn."
+    "Newer models such as gpt-5, gpt-4.1 or gpt-4o can call multiple functions in one turn."
    ]
   },
   {
@@ -758,7 +758,7 @@
    "source": [
     "##### Steps to invoke a function call using Chat Completions API: \n",
     "\n",
-    "**Step 1**: Prompt the model with content that may result in model selecting a tool to use. The description of the tools such as a function names and signature is defined in the 'Tools' list and passed to the model in API call. If selected, the function name and parameters are included in the response.<br>\n",
+    "**Step 1**: Prompt the model with content that may result in model selecting a tool to use. The description of the tools such as a function name and signature is defined in the 'Tools' list and passed to the model in API call. If selected, the function name and parameters are included in the response.<br>\n",
     "  \n",
     "**Step 2**: Check programmatically if model wanted to call a function. If true, proceed to step 3. <br>  \n",
     "**Step 3**: Extract the function name and parameters from response, call the function with parameters. Append the result to messages. <br>    \n",
@@ -767,7 +767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "e8b7cb9cdc7a7616",
    "metadata": {
     "ExecuteTime": {
@@ -792,9 +792,9 @@
     "}]\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model='gpt-4o', \n",
+    "    model=GPT_MODEL, \n",
     "    messages=messages, \n",
-    "    tools= tools, \n",
+    "    tools=tools, \n",
     "    tool_choice=\"auto\"\n",
     ")\n",
     "\n",
@@ -807,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "351c39def3417776",
    "metadata": {
     "ExecuteTime": {
@@ -847,7 +847,7 @@
     "        # Step 4: Invoke the chat completions API with the function response appended to the messages list\n",
     "        # Note that messages with role 'tool' must be a response to a preceding message with 'tool_calls'\n",
     "        model_response_with_function_call = client.chat.completions.create(\n",
-    "            model=\"gpt-4o\",\n",
+    "            model=GPT_MODEL,\n",
     "            messages=messages,\n",
     "        )  # get a new response from the model where it can see the function response\n",
     "        print(model_response_with_function_call.choices[0].message.content)\n",