fix: simplify async_conversation_run example to reduce CI flakiness

The original example used code_interpreter with differential equations,
which caused timeouts and flaky CI failures. Simplified to "2+2" math.

Original complex example preserved as async_conversation_run_code_interpreter.py
and added to CI skip list (too slow/flaky for CI).

Author: louis-sanna-dev

examples/mistral/agents/async_conversation_run.py

@@ -9,48 +9,19 @@
 MODEL = "mistral-medium-2505"
 
 
-def math_question_generator(question_num: int):
-    """Random generator of mathematical question
-
-    Args:
-        question_num (int): the number of the question that will be returned, should be between 1-100
-    """
-    return (
-        "solve the following differential equation: `y'' + 3y' + 2y = 0`"
-        if question_num % 2 == 0
-        else "solve the following differential equation: `y'' - 4y' + 4y = e^x`"
-    )
-
-
 async def main():
     api_key = os.environ["MISTRAL_API_KEY"]
     client = Mistral(api_key=api_key)
 
-    class Explanation(BaseModel):
-        explanation: str
-        output: str
-
-    class MathDemonstration(BaseModel):
-        steps: list[Explanation]
-        final_answer: str
+    class MathResult(BaseModel):
+        answer: int
 
-    async with RunContext(model=MODEL, output_format=MathDemonstration) as run_ctx:
-        # register a new function that can be executed on the client side
-        run_ctx.register_func(math_question_generator)
+    async with RunContext(model=MODEL, output_format=MathResult) as run_ctx:
         run_result = await client.beta.conversations.run_async(
             run_ctx=run_ctx,
-            instructions="Use the code interpreter to help you when asked mathematical questions.",
-            inputs=[
-                {"role": "user", "content": "hey"},
-                {"role": "assistant", "content": "hello"},
-                {"role": "user", "content": "Request a math question and answer it."},
-            ],
-            tools=[{"type": "code_interpreter"}],
+            inputs=[{"role": "user", "content": "What is 2 + 2?"}],
         )
-        print("All run entries:")
-        for entry in run_result.output_entries:
-            print(f"{entry}")
-        print(f"Final model: {run_result.output_as_model}")
+        print(f"Result: {run_result.output_as_model}")
 
 
 if __name__ == "__main__":

examples/mistral/agents/async_conversation_run_code_interpreter.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+import asyncio
+import os
+
+from mistralai.client import Mistral
+from mistralai.extra.run.context import RunContext
+from mistralai.client.types import BaseModel
+
+MODEL = "mistral-medium-2505"
+
+
+def math_question_generator(question_num: int):
+    """Random generator of mathematical question
+
+    Args:
+        question_num (int): the number of the question that will be returned, should be between 1-100
+    """
+    return (
+        "solve the following differential equation: `y'' + 3y' + 2y = 0`"
+        if question_num % 2 == 0
+        else "solve the following differential equation: `y'' - 4y' + 4y = e^x`"
+    )
+
+
+async def main():
+    api_key = os.environ["MISTRAL_API_KEY"]
+    client = Mistral(api_key=api_key)
+
+    class Explanation(BaseModel):
+        explanation: str
+        output: str
+
+    class MathDemonstration(BaseModel):
+        steps: list[Explanation]
+        final_answer: str
+
+    async with RunContext(model=MODEL, output_format=MathDemonstration) as run_ctx:
+        # register a new function that can be executed on the client side
+        run_ctx.register_func(math_question_generator)
+        run_result = await client.beta.conversations.run_async(
+            run_ctx=run_ctx,
+            instructions="Use the code interpreter to help you when asked mathematical questions.",
+            inputs=[
+                {"role": "user", "content": "hey"},
+                {"role": "assistant", "content": "hello"},
+                {"role": "user", "content": "Request a math question and answer it."},
+            ],
+            tools=[{"type": "code_interpreter"}],
+        )
+        print("All run entries:")
+        for entry in run_result.output_entries:
+            print(f"{entry}")
+        print(f"Final model: {run_result.output_as_model}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

scripts/run_examples.sh

@@ -33,6 +33,7 @@ exclude_files=(
  "examples/mistral/classifier/async_classifier.py"
  "examples/mistral/mcp_servers/sse_server.py"
  "examples/mistral/mcp_servers/stdio_server.py"
+ "examples/mistral/agents/async_conversation_run_code_interpreter.py"
  "examples/mistral/agents/async_conversation_run_stream.py"
  "examples/mistral/agents/async_conversation_run_mcp.py"
  "examples/mistral/agents/async_conversation_run_mcp_remote.py"