Simple chat app

README.md

@@ -83,6 +83,10 @@ For [code execution](https://microsoft.github.io/autogen/docs/FAQ/#code-executio
 
 For LLM inference configurations, check the [FAQs](https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints).
 
+## Simple Example in ChatGPT Style
+
+One [simple example](https://github.com/microsoft/autogen/blob/main/samples/simple_chat.py) of human chatting with an AutoGen agent in ChatGPT style.
+
 ## Multi-Agent Conversation Framework
 
 Autogen enables the next-gen LLM applications with a generic [multi-agent conversation](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat) framework. It offers customizable and conversable agents that integrate LLMs, tools, and humans.

samples/simple_chat.py

@@ -0,0 +1,22 @@
+from autogen import UserProxyAgent, ConversableAgent, config_list_from_json
+
+
+def main():
+    # Load LLM inference endpoints from an env variable or a file
+    # See https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints
+    # and OAI_CONFIG_LIST_sample.
+    # For example, if you have created a OAI_CONFIG_LIST file in the current working directory, that file will be used.
+    config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
+
+    # Create the agent that uses the LLM.
+    assistant = ConversableAgent("agent", llm_config={"config_list": config_list})
+
+    # Create the agent that represents the user in the conversation.
+    user_proxy = UserProxyAgent("user", code_execution_config={"work_dir": "coding"})
+
+    # Let the assistant start the conversation.  It will end when the user types exit.
+    assistant.initiate_chat(user_proxy, message="How can I help you today?")
+
+
+if __name__ == "__main__":
+    main()

website/docs/Examples.md

@@ -38,8 +38,9 @@ Links to notebook examples:
    - Function Inception: Enable AutoGen agents to update/remove functions during conversations. - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_inception_function.ipynb)
    - Agent Chat with Whisper - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_video_transcript_translate_with_whisper.ipynb)
 1. **Human Involvement**
+   - Simple example in ChatGPT style [View example](https://github.com/microsoft/autogen/blob/main/samples/simple_chat.py)
    - Auto Code Generation, Execution, Debugging and **Human Feedback** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_human_feedback.ipynb)
-   -  Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_two_users.ipynb)
+   - Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_two_users.ipynb)
    - Agent Chat with **Async Human Inputs** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/Async_human_input.ipynb)
 1. **Agent Teaching and Learning**
    - Teach Agents New Skills & Reuse via Automated Chat - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_teaching.ipynb)