semantic_kernel_quickstart_openai_prompt_execution.py

1import asyncio
2from semantic_kernel import Kernel
3from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, OpenAIChatCompletion
4from semantic_kernel.contents import ChatHistory
5from semantic_kernel.functions import KernelArguments
6
7async def main():
8    # Initialize the kernel
9    kernel = Kernel()
10
11    # Add Azure OpenAI or OpenAI Chat Completion service
12    # For OpenAI:
13    kernel.add_service(
14        OpenAIChatCompletion(
15            service_id="chat-gpt",
16            ai_model_id="gpt-3.5-turbo",
17            api_key="your_openai_api_key"
18        )
19    )
20
21    # Define a simple prompt
22    prompt = "What is Semantic Kernel?"
23
24    # Execute the prompt and print the result
25    result = await kernel.invoke_prompt(
26        prompt=prompt,
27        arguments=KernelArguments()
28    )
29
30    print(result)
31
32if __name__ == "__main__":
33    asyncio.run(main())