fix: update deprecated OpenAI models to gpt-4o-mini in examples

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/application.py

@@ -72,7 +72,7 @@ def choose_mode(state: State) -> State:
     )
 
     result = _get_openai_client().chat.completions.create(
-        model="gpt-4",
+        model="gpt-4o",
         messages=[
             {"role": "system", "content": "You are a helpful assistant"},
             {"role": "user", "content": prompt},
@@ -100,7 +100,7 @@ def prompt_for_more(state: State) -> State:
 
 @action(reads=["prompt", "chat_history", "mode"], writes=["response"])
 def chat_response(
-    state: State, prepend_prompt: str, display_type: str = "text", model: str = "gpt-3.5-turbo"
+    state: State, prepend_prompt: str, display_type: str = "text", model: str = "gpt-4o-mini"
 ) -> State:
     chat_history = copy.deepcopy(state["chat_history"])
     chat_history[-1]["content"] = f"{prepend_prompt}: {chat_history[-1]['content']}"

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/other-examples/hamilton-multi-modal/dag.py

@@ -34,7 +34,7 @@ def client() -> openai.Client:
 
 
 def text_model() -> str:
-    return "gpt-3.5-turbo"
+    return "gpt-4o-mini"
 
 
 def image_model() -> str:

examples/simple-chatbot-intro/application.py

@@ -43,7 +43,7 @@ def ai_response(state: State) -> Tuple[dict, State]:
     client = openai.Client()  # replace this with your favorite LLM client library
     content = (
         client.chat.completions.create(
-            model="gpt-3.5-turbo",
+            model="gpt-4o-mini",
             messages=state["chat_history"],
         )
         .choices[0]

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/streaming-fastapi/application.py

@@ -95,7 +95,7 @@ async def prompt_for_more(state: State) -> AsyncGenerator[Tuple[dict, Optional[S
 
 @streaming_action(reads=["prompt", "chat_history", "mode"], writes=["response"])
 async def chat_response(
-    state: State, prepend_prompt: str, model: str = "gpt-3.5-turbo"
+    state: State, prepend_prompt: str, model: str = "gpt-4o-mini"
 ) -> AsyncGenerator[Tuple[dict, Optional[State]], None]:
     """Streaming action, as we don't have the result immediately. This makes it more interactive"""
     chat_history = copy.deepcopy(state["chat_history"])

examples/streaming-overview/application.py

@@ -60,7 +60,7 @@ def choose_mode(state: State) -> Tuple[dict, State]:
     )
 
     result = _get_openai_client().chat.completions.create(
-        model="gpt-4",
+        model="gpt-4o",
         messages=[
             {"role": "system", "content": "You are a helpful assistant"},
             {"role": "user", "content": prompt},
@@ -89,7 +89,7 @@ def prompt_for_more(state: State) -> Tuple[dict, State]:
 
 @streaming_action(reads=["prompt", "chat_history", "mode"], writes=["response"])
 def chat_response(
-    state: State, prepend_prompt: str, model: str = "gpt-3.5-turbo"
+    state: State, prepend_prompt: str, model: str = "gpt-4o-mini"
 ) -> Generator[Tuple[dict, Optional[State]], None, None]:
     """Streaming action, as we don't have the result immediately. This makes it more interactive"""
     chat_history = state["chat_history"].copy()

examples/streaming-overview/async_application.py

@@ -61,7 +61,7 @@ async def choose_mode(state: State) -> Tuple[dict, State]:
     )
 
     result = await _get_openai_client().chat.completions.create(
-        model="gpt-4",
+        model="gpt-4o",
         messages=[
             {"role": "system", "content": "You are a helpful assistant"},
             {"role": "user", "content": prompt},
@@ -90,7 +90,7 @@ def prompt_for_more(state: State) -> Tuple[dict, State]:
 
 @streaming_action(reads=["prompt", "chat_history", "mode"], writes=["response"])
 async def chat_response(
-    state: State, prepend_prompt: str, model: str = "gpt-3.5-turbo"
+    state: State, prepend_prompt: str, model: str = "gpt-4o-mini"
 ) -> Tuple[dict, State]:
     """Streaming action, as we don't have the result immediately. This makes it more interactive"""
     chat_history = state["chat_history"].copy()

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/test-case-creation/application.py

@@ -49,7 +49,7 @@ def choose_mode(state: State) -> Tuple[dict, State]:
     )
 
     result = _get_openai_client().chat.completions.create(
-        model="gpt-4",
+        model="gpt-4o",
         messages=[
             {"role": "system", "content": "You are a helpful assistant"},
             {"role": "user", "content": prompt},

examples/tracing-and-spans/application.py

@@ -69,7 +69,7 @@ def choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:
             client = _get_openai_client()
         with __tracer("query_openai") as tracer:
             result = client.chat.completions.create(
-                model="gpt-4",
+                model="gpt-4o",
                 messages=[
                     {"role": "system", "content": "You are a helpful assistant"},
                     {"role": "user", "content": prompt},
@@ -107,7 +107,7 @@ def chat_response(
     state: State,
     prepend_prompt: str,
     __tracer: TracerFactory,
-    model: str = "gpt-3.5-turbo",
+    model: str = "gpt-4o-mini",
 ) -> Tuple[dict, State]:
     __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)
     with __tracer("process_chat_history"):

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",