Merge pull request #993 from garylin2099/di_fixes

update examples

examples/di/imitate_webpage.py

@@ -12,8 +12,7 @@ async def main():
     web_url = "https://pytorch.org/"
     prompt = f"""This is a URL of webpage: '{web_url}' .
 Firstly, utilize Selenium and WebDriver for rendering. 
-Secondly, convert image to a webpage including HTML, CSS and JS in one go. 
-Finally, save webpage in a text file. 
+Secondly, convert image to a webpage including HTML, CSS and JS in one go.
 Note: All required dependencies and environments have been fully installed and configured."""
     di = DataInterpreter(tools=["GPTvGenerator"])
 

examples/di/solve_math_problems.py

@@ -10,4 +10,5 @@ async def main(requirement: str = ""):
 
 if __name__ == "__main__":
     requirement = "Solve this math problem: The greatest common divisor of positive integers m and n is 6. The least common multiple of m and n is 126. What is the least possible value of m + n?"
+    # answer: 60 (m = 18, n = 42)
     asyncio.run(main(requirement))

metagpt/provider/openai_api.py

@@ -87,7 +87,9 @@ class OpenAILLM(BaseLLM):
         collected_messages = []
         async for chunk in response:
             chunk_message = chunk.choices[0].delta.content or "" if chunk.choices else ""  # extract the message
-            finish_reason = chunk.choices[0].finish_reason if hasattr(chunk.choices[0], "finish_reason") else None
+            finish_reason = (
+                chunk.choices[0].finish_reason if chunk.choices and hasattr(chunk.choices[0], "finish_reason") else None
+            )
             log_llm_stream(chunk_message)
             collected_messages.append(chunk_message)
             if finish_reason: