chore: import upstream snapshot with attribution

python/samples/learn_resources/serializing_prompts.py

@@ -0,0 +1,93 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+import semantic_kernel as sk
+from samples.sk_service_configurator import add_service
+from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.contents.chat_history import ChatHistory
+from semantic_kernel.core_plugins import ConversationSummaryPlugin
+from semantic_kernel.prompt_template import PromptTemplateConfig
+from semantic_kernel.prompt_template.input_variable import InputVariable
+
+
+async def main():
+    # Initialize the kernel
+    kernel = sk.Kernel()
+
+    # Add the service to the kernel
+    # use_chat: True to use chat completion, False to use text completion
+    kernel = add_service(kernel=kernel, use_chat=True)
+
+    service_id = "default"
+    execution_settings = PromptExecutionSettings(
+        service_id=service_id, max_tokens=ConversationSummaryPlugin._max_tokens, temperature=0.1, top_p=0.5
+    )
+
+    template = (
+        "BEGIN CONTENT TO SUMMARIZE:\n{{" + "$history" + "}}\n{{" + "$input" + "}}\n"
+        "END CONTENT TO SUMMARIZE.\nSummarize the conversation in 'CONTENT TO"
+        " SUMMARIZE',            identifying main points of discussion and any"
+        " conclusions that were reached.\nDo not incorporate other general"
+        " knowledge.\nSummary is in plain text, in complete sentences, with no markup"
+        " or tags.\n\nBEGIN SUMMARY:\n"
+    )
+
+    prompt_template_config = PromptTemplateConfig(
+        template=template,
+        description="Given a section of a conversation transcript, summarize the part of the conversation.",
+        execution_settings=execution_settings,
+        input_variables=[
+            InputVariable(name="input", description="The user input", is_required=True),
+            InputVariable(
+                name="history",
+                description="The history of the conversation",
+                is_required=True,
+                allow_dangerously_set_content=True,
+            ),
+        ],
+    )
+
+    # Import the ConversationSummaryPlugin
+    kernel.add_plugin(
+        ConversationSummaryPlugin(kernel=kernel, prompt_template_config=prompt_template_config),
+        plugin_name="ConversationSummaryPlugin",
+    )
+
+    summarize_function = kernel.get_function(
+        plugin_name="ConversationSummaryPlugin", function_name="SummarizeConversation"
+    )
+
+    # Create the history
+    history = ChatHistory()
+
+    while True:
+        try:
+            request = input("User:> ")
+        except KeyboardInterrupt:
+            print("\n\nExiting chat...")
+            return False
+        except EOFError:
+            print("\n\nExiting chat...")
+            return False
+
+        if request == "exit":
+            print("\n\nExiting chat...")
+            return False
+
+        result = await kernel.invoke(
+            summarize_function,
+            input=request,
+            history=history,
+        )
+
+        # Add the request to the history
+        history.add_user_message(request)
+        history.add_assistant_message(str(result))
+
+        print(f"Assistant:> {result}")
+
+
+# Run the main function
+if __name__ == "__main__":
+    asyncio.run(main())