fix: replace deprecated gpt-3.5-turbo-0613 with gpt-4o-mini

docs/blog/posts/logfire.md

@@ -98,7 +98,7 @@ Logfire can help us to log this entire function, and what's happening inside it,
 def classify(data: str) -> SinglePrediction:
     """Perform single-label classification on the input text."""
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=SinglePrediction,
         messages=[
             {

docs/examples/exact_citations.md

@@ -155,7 +155,7 @@ class QuestionAnswer(BaseModel):
 # <%hide%>
 def ask_ai(question: str, context: str) -> QuestionAnswer:
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         temperature=0,
         response_model=QuestionAnswer,
         messages=[

examples/auto-ticketer/run.py

@@ -51,7 +51,7 @@ class ActionItems(BaseModel):
 
 def generate(data: str):
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=ActionItems,
         messages=[
             {

examples/citation_with_extraction/citation_fuzzy_match.py

@@ -82,7 +82,7 @@ def validate_sources(self) -> "QuestionAnswer":
 
 def ask_ai(question: str, context: str) -> QuestionAnswer:
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         temperature=0,
         response_model=QuestionAnswer,
         messages=[

examples/citation_with_extraction/main.py

@@ -82,7 +82,7 @@ class Question(BaseModel):
 # Function to extract entities from input text using GPT-3.5
 def stream_extract(question: Question) -> Iterable[Fact]:
     completion = client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         temperature=0,
         stream=True,
         functions=[QuestionAnswer.openai_schema],

examples/classification/multi_prediction.py

@@ -22,7 +22,7 @@ class MultiClassPrediction(BaseModel):
 # Modify the classify function
 def multi_classify(data: str) -> MultiClassPrediction:
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=MultiClassPrediction,
         messages=[
             {

examples/classification/simple_prediction.py

@@ -22,7 +22,7 @@ class SinglePrediction(BaseModel):
 
 def classify(data: str) -> SinglePrediction:
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=SinglePrediction,
         messages=[
             {

examples/gpt-engineer/generate.py

@@ -32,7 +32,7 @@ class Program(OpenAISchema):
 
 def develop(data: str) -> Program:
     completion = client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         temperature=0.1,
         functions=[Program.openai_schema],
         function_call={"name": Program.openai_schema["name"]},

examples/logfire/classify.py

@@ -30,7 +30,7 @@ class SinglePrediction(BaseModel):
 def classify(data: str) -> SinglePrediction:
     """Perform single-label classification on the input text."""
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=SinglePrediction,
         messages=[
             {

examples/query_planner_execution/query_planner_execution.py

@@ -111,7 +111,7 @@ def dependencies(self, idz: list[int]) -> list[Query]:
 
 def query_planner(question: str, plan=False) -> QueryPlan:
     PLANNING_MODEL = "gpt-4"
-    ANSWERING_MODEL = "gpt-3.5-turbo-0613"
+    ANSWERING_MODEL = "gpt-4o-mini"
 
     messages = [
         {

examples/recursive_filepaths/parse_recursive_paths.py

@@ -90,7 +90,7 @@ def parse_tree_to_filesystem(data: str) -> DirectoryTree:
     """
 
     completion = client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=DirectoryTree,
         messages=[
             {

examples/safer_sql_example/safe_sql.py

@@ -58,7 +58,7 @@ def to_sql(self):
 
 def create_query(data: str) -> SQL:
     completion = client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         temperature=0,
         functions=[SQL.openai_schema],
         function_call={"name": SQL.openai_schema["name"]},

examples/simple-extraction/maybe_user.py

@@ -18,7 +18,7 @@ class UserDetail(BaseModel):
 
 def get_user_detail(string) -> MaybeUser:  # type: ignore
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=MaybeUser,
         messages=[
             {

examples/simple-extraction/user.py

@@ -15,7 +15,7 @@ class UserDetail(BaseModel):
 
 def get_user_detail(string) -> UserDetail:
     return client.chat.completions.create(
-        model="gpt-3.5-turbo-0613",
+        model="gpt-4o-mini",
         response_model=UserDetail,
         messages=[
             {

instructor/validation/llm_validators.py

@@ -42,7 +42,7 @@ class User(BaseModel):
 
     Parameters:
         statement (str): The statement to validate
-        model (str): The LLM to use for validation (default: "gpt-3.5-turbo-0613")
+        model (str): The LLM to use for validation (default: "gpt-4o-mini")
         temperature (float): The temperature to use for the LLM (default: 0)
         client (OpenAI): The OpenAI client to use (default: None)
     """