fix: update deprecated OpenAI models in example notebooks

Replaces gpt-3.5-turbo with gpt-4o-mini and gpt-4-turbo-preview with
gpt-4o in 5 example notebooks. Skips parallelism/notebook.ipynb which
intentionally uses multiple models to demonstrate parallel execution.

Author: andreahlert

examples/conversational-rag/graph_db_example/notebook.ipynb

@@ -242,7 +242,7 @@
     "    messages = state[\"chat_history\"]\n",
     "    # Call the function\n",
     "    response = client.chat.completions.create(\n",
-    "        model=\"gpt-4-turbo-preview\",\n",
+    "        model=\"gpt-4o\",\n",
     "        messages=messages,\n",
     "        tools=[run_cypher_query_tool_description],\n",
     "        tool_choice=\"auto\",\n",
@@ -315,7 +315,7 @@
     "    \"\"\"AI step to generate the response given the current chat history.\"\"\"\n",
     "    messages = state[\"chat_history\"]\n",
     "    response = client.chat.completions.create(\n",
-    "        model=\"gpt-4-turbo-preview\",\n",
+    "        model=\"gpt-4o\",\n",
     "        messages=messages,\n",
     "    )  # get a new response from the model where it can see the function response\n",
     "    response_message = response.choices[0].message\n",

examples/multi-modal-chatbot/burr_demo.ipynb

@@ -174,7 +174,7 @@
     "\n",
     "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\n",
     "def chat_response(\n",
-    "        state: State, prepend_prompt: str, model: str = \"gpt-3.5-turbo\"\n",
+    "        state: State, prepend_prompt: str, model: str = \"gpt-4o-mini\"\n",
     ") -> State:\n",
     "\n",
     "    chat_history = copy.deepcopy(state[\"chat_history\"])\n",

examples/simple-chatbot-intro/notebook.ipynb

@@ -89,7 +89,7 @@
     "    but we wanted to keep it simple to demonstrate\"\"\"\n",
     "    client = openai.Client()  # replace with your favorite LLM client library\n",
     "    content = client.chat.completions.create(\n",
-    "        model=\"gpt-3.5-turbo\",\n",
+    "        model=\"gpt-4o-mini\",\n",
     "        messages=state[\"chat_history\"],\n",
     "    ).choices[0].message.content\n",
     "    chat_item = {\n",

examples/talks/data_for_ai_oct_2024.ipynb

@@ -547,7 +547,7 @@
     "\n",
     "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\n",
     "def chat_response(\n",
-    "        state: State, prepend_prompt: str, model: str = \"gpt-3.5-turbo\"\n",
+    "        state: State, prepend_prompt: str, model: str = \"gpt-4o-mini\"\n",
     ") -> State:\n",
     "    \n",
     "    chat_history = copy.deepcopy(state[\"chat_history\"])\n",

examples/tracing-and-spans/burr_otel_demo.ipynb

@@ -183,7 +183,7 @@
     "\n",
     "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\n",
     "def chat_response(\n",
-    "        state: State, prepend_prompt: str, model: str = \"gpt-3.5-turbo\"\n",
+    "        state: State, prepend_prompt: str, model: str = \"gpt-4o-mini\"\n",
     ") -> State:\n",
     "    \n",
     "    chat_history = copy.deepcopy(state[\"chat_history\"])\n",