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Merge pull request microsoft#93 from koreyspace/main
sample improvements
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‎01-intro-to-ai-agents/code_samples/01-semantic-kernel.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os \n",
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"from typing import Annotated\n",
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"from openai import AsyncOpenAI\n",
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"\n",
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"from dotenv import load_dotenv\n",
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"\n",
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"\n",
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"\n",
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"from semantic_kernel.kernel import Kernel\n",
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"from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion\n",
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv()\n",
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"client = AsyncOpenAI(\n",
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" api_key=os.getenv(\"GITHUB_TOKEN\"), base_url=\"https://models.inference.ai.azure.com/\")\n",
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" api_key=os.environ.get(\"GITHUB_TOKEN\"), base_url=\"https://models.inference.ai.azure.com/\")\n",
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"\n",
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"kernel = Kernel()\n",
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"kernel.add_plugin(DestinationsPlugin(), plugin_name=\"destinations\")\n",
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},
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"cell_type": "code",
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},
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"cell_type": "code",
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"metadata": {},
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},
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div style='margin-bottom:10px'><div style='font-weight:bold'>User:</div><div style='margin-left:20px'>Plan me a day trip.</div></div><div style='margin-bottom:10px'><details><summary style='cursor:pointer; font-weight:bold; color:#0066cc;'>Function Calls (click to expand)</summary><div style='margin:10px; padding:10px; background-color:#f8f8f8; border:1px solid #ddd; border-radius:4px; white-space:pre-wrap;'>Calling: get_random_destination()<br>Calling: ({})<br>Result: Rio de Janeiro, Brazil</div></details></div><div style='margin-bottom:20px'><div style='font-weight:bold'>TravelAgent:</div><div style='margin-left:20px; white-space:pre-wrap'>I've planned a day trip to the beautiful city of Rio de Janeiro, Brazil! Here’s a suggested itinerary for your day:\n",
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"\n",
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"### Morning- **Breakfast**: Start your day with a traditional Brazilian breakfast of pão de queijo (cheese bread) and fresh tropical fruit at a local café.\n",
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"- **Visit Christ the Redeemer**: Head to the iconic Christ the Redeemer statue. You can take a train through the Tijuca Forest to reach the summit, and enjoy stunning views of the city along the way.\n",
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"\n",
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"### Midday- **Lunch**: Enjoy a leisurely lunch at a local restaurant in the Santa Teresa neighborhood. Try some feijoada, a hearty Brazilian stew.\n",
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"- **Explore Santa Teresa**: Stroll through the charming streets of Santa Teresa, filled with art galleries, colorful houses, and beautiful views.\n",
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"\n",
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"### Afternoon- **Sugarloaf Mountain**: Take the cable car to the top of Sugarloaf Mountain for panoramic views of Rio, including Copacabana and the sprawling coastline.\n",
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"- **Relax at Copacabana Beach**: Spend some time relaxing on the famous Copacabana Beach. If you're up for it, you can enjoy a refreshing swim or try out beach volleyball with locals.\n",
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"\n",
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"### Evening- **Dinner**: Dine at a seafood restaurant with a view of the beach, enjoying fresh catch of the day and a caipirinha cocktail, a Brazilian favorite.\n",
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"- **Nightlife**: If you’re up for it, explore the lively nightlife of Rio in Lapa, where you can find samba clubs and live music.\n",
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"\n",
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"Enjoy your day trip to Rio de Janeiro!</div></div><hr>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<div style='margin-bottom:10px'><div style='font-weight:bold'>User:</div><div style='margin-left:20px'>I don't like that destination. Plan me another vacation.</div></div><div style='margin-bottom:10px'><details><summary style='cursor:pointer; font-weight:bold; color:#0066cc;'>Function Calls (click to expand)</summary><div style='margin:10px; padding:10px; background-color:#f8f8f8; border:1px solid #ddd; border-radius:4px; white-space:pre-wrap;'>Calling: get_random_destination()<br>Calling: ({})<br>Result: Cape Town, South Africa</div></details></div><div style='margin-bottom:20px'><div style='font-weight:bold'>TravelAgent:</div><div style='margin-left:20px; white-space:pre-wrap'>How about a day trip to stunning Cape Town, South Africa? Here's a suggested itinerary:\n",
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"\n",
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"### Morning- **Breakfast**: Start your day with a hearty breakfast at a café along the V&A Waterfront, enjoying views of the harbor and Table Mountain.\n",
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"- **Table Mountain**: Take the cable car up to Table Mountain for breathtaking panoramic views of the city and the ocean. Don’t forget your camera!\n",
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"\n",
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"### Midday- **Lunch**: Enjoy lunch at one of the waterfront restaurants, where you can savor fresh seafood or local South African dishes.\n",
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"- **Visit Kirstenbosch National Botanical Garden**: Explore these beautiful gardens nestled at the foot of Table Mountain. Walk along the treetop canopy walkway for a unique perspective of the flora.\n",
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"\n",
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"### Afternoon- **Explore the Cape Peninsula**: Take a scenic drive along Chapman's Peak Drive to Cape Point. Here, you can hike to the lighthouse and enjoy spectacular ocean views.\n",
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"- **Boulders Beach**: Afterward, head to Boulders Beach to see the famous African penguin colony.\n",
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"\n",
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"### Evening- **Dinner**: Return to Cape Town for dinner at a restaurant in the city center or along the waterfront, where you can enjoy a fine dining experience featuring local wines and cuisine.\n",
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"- **Sunset at Signal Hill**: End your day by watching the sunset from Signal Hill, offering a stunning view of the city and the ocean.\n",
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"\n",
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"Enjoy your day trip in Cape Town!</div></div><hr>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"from IPython.display import display, HTML\n",
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"\n",
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"\n",
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" agent_name: str | None = None\n",
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" full_response = \"\"\n",
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" function_calls = []\n",
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" function_results = {}\n",
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"\n",
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" # Collect the agent's response silently (no printing)\n",
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" # Collect the agent's response with function call tracking\n",
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" async for content in agent.invoke_stream(chat_history):\n",
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" if not agent_name:\n",
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" if not agent_name and hasattr(content, 'name'):\n",
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" agent_name = content.name\n",
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" if (\n",
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"\n",
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" # Track function calls and results\n",
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" for item in content.items:\n",
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" if isinstance(item, FunctionCallContent):\n",
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" call_info = f\"Calling: {item.function_name}({item.arguments})\"\n",
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" function_calls.append(call_info)\n",
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" elif isinstance(item, FunctionResultContent):\n",
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" result_info = f\"Result: {item.result}\"\n",
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" function_calls.append(result_info)\n",
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" # Store function results\n",
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" function_results[item.function_name] = item.result\n",
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"\n",
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" # Add content to response if it's not a function-related message\n",
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" if (hasattr(content, 'content') and content.content and content.content.strip() and\n",
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" not any(isinstance(item, (FunctionCallContent, FunctionResultContent))\n",
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" for item in content.items)\n",
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" and content.content.strip()\n",
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" ):\n",
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" for item in content.items)):\n",
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" full_response += content.content\n",
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"\n",
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" # Add function calls to HTML if any occurred\n",
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" if function_calls:\n",
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" html_output += f\"<div style='margin-bottom:10px'>\"\n",
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" html_output += f\"<details>\"\n",
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" html_output += f\"<summary style='cursor:pointer; font-weight:bold; color:#0066cc;'>Function Calls (click to expand)</summary>\"\n",
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" html_output += f\"<div style='margin:10px; padding:10px; background-color:#f8f8f8; border:1px solid #ddd; border-radius:4px; white-space:pre-wrap;'>\"\n",
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" html_output += \"<br>\".join(function_calls)\n",
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" html_output += f\"</div></details></div>\"\n",
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"\n",
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" # Add agent response to HTML\n",
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" html_output += f\"<div style='margin-bottom:20px'>\"\n",
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" html_output += f\"<div style='font-weight:bold'>{agent_name or 'Assistant'}:</div>\"\n",

‎02-explore-agentic-frameworks/code_samples/02-autogen.ipynb

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},
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"source": [
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"metadata": {},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"finish_reason='stop' content='The capital of France is Paris.' usage=RequestUsage(prompt_tokens=14, completion_tokens=7) cached=False logprobs=None thought=None\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"load_dotenv()\n",
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"client = AzureAIChatCompletionClient(\n",
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"source": [
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"metadata": {},
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"outputs": [],
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"source": [
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"async def assistant_run() -> None:\n",
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"from IPython.display import display, HTML\n",
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"\n",
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"\n",
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"async def assistant_run():\n",
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" # Define the query\n",
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" user_query = \"Plan me a great sunny vacation\"\n",
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"\n",
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" # Start building HTML output\n",
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" html_output = \"<div style='margin-bottom:10px'>\"\n",
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" html_output += \"<div style='font-weight:bold'>User:</div>\"\n",
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" html_output += f\"<div style='margin-left:20px'>{user_query}</div>\"\n",
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" html_output += \"</div>\"\n",
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"\n",
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" # Execute the agent response\n",
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" response = await agent.on_messages(\n",
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" [TextMessage(content=\"Plan me a great sunny vacation\", source=\"user\")],\n",
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" [TextMessage(content=user_query, source=\"user\")],\n",
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" cancellation_token=CancellationToken(),\n",
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" )\n",
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" print(response.inner_messages)\n",
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" # Add agent response to HTML\n",
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" html_output += \"<div style='margin-bottom:20px'>\"\n",
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" html_output += \"<div style='font-weight:bold'>Assistant:</div>\"\n",
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" html_output += f\"<div style='margin-left:20px; white-space:pre-wrap'>{response.chat_message.content}</div>\"\n",
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" html_output += \"</div>\"\n",
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"\n",
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" # Display formatted HTML\n",
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" display(HTML(html_output))\n",
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"\n",
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"# Use asyncio.run(assistant_run()) when running in a script.\n",
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"# Run the function\n",
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"await assistant_run()"
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]
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}

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