[CI] Fix the CI for Python 3.8

examples/async_structured_outputs.py

@@ -5,9 +5,10 @@
 from pydantic import BaseModel
 
 from mistralai import Mistral
+from typing import List
 
-async def main():
 
+async def main():
     api_key = os.environ["MISTRAL_API_KEY"]
     client = Mistral(api_key=api_key)
 
@@ -16,18 +17,22 @@ class Explanation(BaseModel):
         output: str
 
     class MathDemonstration(BaseModel):
-        steps: list[Explanation]
+        steps: List[Explanation]
         final_answer: str
 
     chat_response = await client.chat.parse_async(
         model="mistral-large-2411",
         messages=[
-            {"role": "system", "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning."},
+            {
+                "role": "system",
+                "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning.",
+            },
             {"role": "user", "content": "How can I solve 8x + 7 = -23"},
         ],
-        response_format = MathDemonstration
+        response_format=MathDemonstration,
     )
     print(chat_response.choices[0].message.parsed)
 
+
 if __name__ == "__main__":
     asyncio.run(main())

examples/structured_outputs.py

@@ -5,6 +5,9 @@
 
 from mistralai import Mistral
 
+from typing import List
+
+
 def main():
     api_key = os.environ["MISTRAL_API_KEY"]
     client = Mistral(api_key=api_key)
@@ -14,32 +17,41 @@ class Explanation(BaseModel):
         output: str
 
     class MathDemonstration(BaseModel):
-        steps: list[Explanation]
+        steps: List[Explanation]
         final_answer: str
 
     print("Using the .parse method to parse the response into a Pydantic model:\n")
     chat_response = client.chat.parse(
         model="mistral-large-latest",
         messages=[
-            {"role": "system", "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning."},
+            {
+                "role": "system",
+                "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning.",
+            },
             {"role": "user", "content": "How can I solve 8x + 7 = -23"},
         ],
-        response_format = MathDemonstration
+        response_format=MathDemonstration,
     )
     print(chat_response.choices[0].message.parsed)
 
     # Or with the streaming API
-    print("\nUsing the .parse_stream method to stream back the response into a JSON Schema:\n")
+    print(
+        "\nUsing the .parse_stream method to stream back the response into a JSON Schema:\n"
+    )
     with client.chat.parse_stream(
         model="mistral-large-latest",
         messages=[
-            {"role": "system", "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning."},
+            {
+                "role": "system",
+                "content": "You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer. For each step, just provide the output as an equation use the explanation field to detail the reasoning.",
+            },
             {"role": "user", "content": "How can I solve 8x + 7 = -23"},
         ],
-        response_format=MathDemonstration
+        response_format=MathDemonstration,
     ) as stream:
         for chunk in stream:
             print(chunk.data.choices[0].delta.content, end="")
 
+
 if __name__ == "__main__":
-    main()
+    main()