chore: import upstream snapshot with attribution

2026-07-13 13:21:23 +08:00
commit b957a53def
5423 changed files with 863745 additions and 0 deletions
@@ -0,0 +1,161 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+from functools import reduce
+
+from samples.sk_service_configurator import add_service
+from semantic_kernel import Kernel
+from semantic_kernel.contents import ChatHistory
+from semantic_kernel.contents.chat_message_content import ChatMessageContent
+from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
+from semantic_kernel.contents.utils.author_role import AuthorRole
+from semantic_kernel.prompt_template import InputVariable, PromptTemplateConfig
+
+# Initialize the kernel
+kernel = 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)
+
+# An ideal prompt for this is {{$history}}{{$request}} as those
+# get cleanly parsed into a new chat_history object while invoking
+# the function. Another possibility is create the prompt as {{$history}}
+# and make sure to add the user message to the history before invoking.
+chat_function = kernel.add_function(
+    plugin_name="Conversation",
+    function_name="Chat",
+    description="Chat with the assistant",
+    prompt_template_config=PromptTemplateConfig(
+        template="{{$history}}{{$request}}",
+        description="Chat with the assistant",
+        input_variables=[
+            InputVariable(name="request", description="The user input", is_required=True),
+            InputVariable(
+                name="history",
+                description="The history of the conversation",
+                is_required=True,
+                allow_dangerously_set_content=True,
+            ),
+        ],
+    ),
+)
+
+choices = ["ContinueConversation", "EndConversation"]
+chat_function_intent = kernel.add_function(
+    plugin_name="Conversation",
+    function_name="getIntent",
+    description="Chat with the assistant",
+    template_format="handlebars",
+    prompt_template_config=PromptTemplateConfig(
+        template="""
+            <message role="system">Instructions: What is the intent of this request?
+            Do not explain the reasoning, just reply back with the intent. If you are unsure, reply with {{choices[0]}}.
+            Choices: {{choices}}.</message>
+
+            {{#each few_shot_examples}}
+                {{#each this.messages}}
+                    {{#message role=role}}
+                    {{~content~}}
+                    {{/message}}
+                {{/each}}
+            {{/each}}
+
+            {{#each chat_history.messages}}
+                {{#message role=role}}
+                {{~content~}}
+                {{/message}}
+            {{/each}}
+
+            <message role="user">{{request}}</message>
+            <message role="system">Intent:</message>
+            """,
+        description="Chat with the assistant",
+        template_format="handlebars",
+        input_variables=[
+            InputVariable(name="request", description="The user input", is_required=True),
+            InputVariable(
+                name="chat_history",
+                description="The history of the conversation",
+                is_required=True,
+                allow_dangerously_set_content=True,
+            ),
+            InputVariable(
+                name="choices",
+                description="The choices for the user to select from",
+                is_required=True,
+                allow_dangerously_set_content=True,
+            ),
+            InputVariable(
+                name="few_shot_examples",
+                description="The few shot examples to help the user",
+                is_required=True,
+                allow_dangerously_set_content=True,
+            ),
+        ],
+    ),
+)
+few_shot_examples = [
+    ChatHistory(
+        messages=[
+            ChatMessageContent(
+                role=AuthorRole.USER, content="Can you send a very quick approval to the marketing team?"
+            ),
+            ChatMessageContent(role=AuthorRole.SYSTEM, content="Intent:"),
+            ChatMessageContent(role=AuthorRole.ASSISTANT, content="ContinueConversation"),
+        ]
+    ),
+    ChatHistory(
+        messages=[
+            ChatMessageContent(role=AuthorRole.USER, content="Thanks, I'm done for now"),
+            ChatMessageContent(role=AuthorRole.SYSTEM, content="Intent:"),
+            ChatMessageContent(role=AuthorRole.ASSISTANT, content="EndConversation"),
+        ]
+    ),
+]
+
+
+async def main():
+    # Create the history
+    history = ChatHistory()
+
+    while True:
+        try:
+            request = input("User:> ")
+        except (KeyboardInterrupt, EOFError):
+            break
+
+        result = await kernel.invoke(
+            plugin_name="Conversation",
+            function_name="getIntent",
+            request=request,
+            history=history,
+            choices=choices,
+            few_shot_examples=few_shot_examples,
+        )
+        if str(result) == "EndConversation":
+            break
+
+        result = kernel.invoke_stream(
+            plugin_name="Conversation",
+            function_name="Chat",
+            request=request,
+            history=history,
+        )
+        all_chunks = []
+        print("Assistant:> ", end="")
+        async for chunk in result:
+            if isinstance(chunk[0], StreamingChatMessageContent) and chunk[0].role == AuthorRole.ASSISTANT:
+                all_chunks.append(chunk[0])
+                print(str(chunk[0]), end="")
+        print()
+
+        history.add_user_message(request)
+        history.add_assistant_message(str(reduce(lambda x, y: x + y, all_chunks)))
+
+    print("\n\nExiting chat...")
+
+
+# Run the main function
+if __name__ == "__main__":
+    asyncio.run(main())