simplify getting-started; update news (#2175)

* simplify getting-started; update news

* bug fix

README.md

@@ -12,23 +12,25 @@
     <img src="https://github.com/microsoft/autogen/blob/main/website/static/img/flaml.svg"  width=200>
     <br>
 </p> -->
+:fire: Mar 26: Andrew Ng gave a shoutout to AutoGen in [What's next for AI agentic workflows](https://youtu.be/sal78ACtGTc?si=JduUzN_1kDnMq0vF) at Sequoia Capital's AI Ascent.
+
 :fire: Mar 3: What's new in AutoGen? 📰[Blog](https://microsoft.github.io/autogen/blog/2024/03/03/AutoGen-Update); 📺[Youtube](https://www.youtube.com/watch?v=j_mtwQiaLGU).
 
 :fire: Mar 1: the first AutoGen multi-agent experiment on the challenging [GAIA](https://huggingface.co/spaces/gaia-benchmark/leaderboard) benchmark achieved the No. 1 accuracy in all the three levels.
 
-:fire: Jan 30: AutoGen is highlighted by Peter Lee in Microsoft Research Forum [Keynote](https://t.co/nUBSjPDjqD).
+:tada: Jan 30: AutoGen is highlighted by Peter Lee in Microsoft Research Forum [Keynote](https://t.co/nUBSjPDjqD).
 
-:fire: Dec 31: [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework](https://arxiv.org/abs/2308.08155) is selected by [TheSequence: My Five Favorite AI Papers of 2023](https://thesequence.substack.com/p/my-five-favorite-ai-papers-of-2023).
+:tada: Dec 31: [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework](https://arxiv.org/abs/2308.08155) is selected by [TheSequence: My Five Favorite AI Papers of 2023](https://thesequence.substack.com/p/my-five-favorite-ai-papers-of-2023).
 
 <!-- :fire: Nov 24: pyautogen [v0.2](https://github.com/microsoft/autogen/releases/tag/v0.2.0) is released with many updates and new features compared to v0.1.1. It switches to using openai-python v1. Please read the [migration guide](https://microsoft.github.io/autogen/docs/Installation#python). -->
 
 <!-- :fire: Nov 11: OpenAI's Assistants are available in AutoGen and interoperatable with other AutoGen agents! Checkout our [blogpost](https://microsoft.github.io/autogen/blog/2023/11/13/OAI-assistants) for details and examples. -->
 
-:fire: Nov 8: AutoGen is selected into [Open100: Top 100 Open Source achievements](https://www.benchcouncil.org/evaluation/opencs/annual.html) 35 days after spinoff.
+:tada: Nov 8: AutoGen is selected into [Open100: Top 100 Open Source achievements](https://www.benchcouncil.org/evaluation/opencs/annual.html) 35 days after spinoff.
 
-:fire: Nov 6: AutoGen is mentioned by Satya Nadella in a [fireside chat](https://youtu.be/0pLBvgYtv6U).
+:tada: Nov 6: AutoGen is mentioned by Satya Nadella in a [fireside chat](https://youtu.be/0pLBvgYtv6U).
 
-:fire: Nov 1: AutoGen is the top trending repo on GitHub in October 2023.
+:tada: Nov 1: AutoGen is the top trending repo on GitHub in October 2023.
 
 :tada: Oct 03: AutoGen spins off from FLAML on GitHub and has a major paper update (first version on Aug 16).
 

autogen/coding/docker_commandline_code_executor.py

@@ -83,8 +83,7 @@ def __init__(
         if isinstance(work_dir, str):
             work_dir = Path(work_dir)
 
-        if not work_dir.exists():
-            raise ValueError(f"Working directory {work_dir} does not exist.")
+        work_dir.mkdir(exist_ok=True)
 
         client = docker.from_env()
 

autogen/coding/local_commandline_code_executor.py

@@ -71,8 +71,7 @@ def __init__(
         if isinstance(work_dir, str):
             work_dir = Path(work_dir)
 
-        if not work_dir.exists():
-            raise ValueError(f"Working directory {work_dir} does not exist.")
+        work_dir.mkdir(exist_ok=True)
 
         self._timeout = timeout
         self._work_dir: Path = work_dir

autogen/version.py

@@ -1 +1 @@
-__version__ = "0.2.20"
+__version__ = "0.2.21"

test/coding/test_commandline_code_executor.py

@@ -1,5 +1,6 @@
 from pathlib import Path
 import sys
+import os
 import tempfile
 import uuid
 import pytest
@@ -10,7 +11,8 @@
 from autogen.coding.docker_commandline_code_executor import DockerCommandLineCodeExecutor
 from autogen.coding.local_commandline_code_executor import LocalCommandLineCodeExecutor
 
-from conftest import MOCK_OPEN_AI_API_KEY, skip_docker
+sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
+from conftest import MOCK_OPEN_AI_API_KEY, skip_docker  # noqa: E402
 
 if skip_docker or not is_docker_running():
     classes_to_test = [LocalCommandLineCodeExecutor]
@@ -52,7 +54,7 @@ def test_commandline_executor_init(cls) -> None:
     assert executor.timeout == 10 and str(executor.work_dir) == "."
 
     # Try invalid working directory.
-    with pytest.raises(ValueError, match="Working directory .* does not exist."):
+    with pytest.raises(FileNotFoundError):
         executor = cls(timeout=111, work_dir="/invalid/directory")
 
 

website/docs/Getting-Started.mdx

@@ -38,30 +38,37 @@ pip install pyautogen
 ```
 
 <Tabs>
+    <TabItem value="nocode" label="No code execution" default>
+
+```python
+from autogen import AssistantAgent, UserProxyAgent
+
+llm_config = {"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}
+assistant = AssistantAgent("assistant", llm_config=llm_config)
+user_proxy = UserProxyAgent("user_proxy", code_execution_config=False)
+
+# Start the chat
+user_proxy.initiate_chat(
+    assistant,
+    message="Tell me a joke about NVDA and TESLA stock prices.",
+)
+```
+
+    </TabItem>
     <TabItem value="local" label="Local execution" default>
 :::warning
 When asked, be sure to check the generated code before continuing to ensure it is safe to run.
 :::
 
 ```python
+import autogen
 from autogen import AssistantAgent, UserProxyAgent
-from autogen.coding import LocalCommandLineCodeExecutor
-
-import os
-from pathlib import Path
-
-llm_config = {
-    "config_list": [{"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}],
-}
-
-work_dir = Path("coding")
-work_dir.mkdir(exist_ok=True)
 
+llm_config = {"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}
 assistant = AssistantAgent("assistant", llm_config=llm_config)
 
-code_executor = LocalCommandLineCodeExecutor(work_dir=work_dir)
 user_proxy = UserProxyAgent(
-    "user_proxy", code_execution_config={"executor": code_executor}
+    "user_proxy", code_execution_config={"executor": autogen.coding.LocalCommandLineCodeExecutor(work_dir="coding")}
 )
 
 # Start the chat
@@ -75,20 +82,12 @@ user_proxy.initiate_chat(
     <TabItem value="docker" label="Docker execution" default>
 
 ```python
+import autogen
 from autogen import AssistantAgent, UserProxyAgent
-from autogen.coding import DockerCommandLineCodeExecutor
-
-import os
-from pathlib import Path
 
-llm_config = {
-    "config_list": [{"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}],
-}
+llm_config = {"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}
 
-work_dir = Path("coding")
-work_dir.mkdir(exist_ok=True)
-
-with DockerCommandLineCodeExecutor(work_dir=work_dir) as code_executor:
+with autogen.coding.DockerCommandLineCodeExecutor(work_dir="coding") as code_executor:
     assistant = AssistantAgent("assistant", llm_config=llm_config)
     user_proxy = UserProxyAgent(
         "user_proxy", code_execution_config={"executor": code_executor}
@@ -103,7 +102,7 @@ with DockerCommandLineCodeExecutor(work_dir=work_dir) as code_executor:
 
 Open `coding/plot.png` to see the generated plot.
 
-  </TabItem>
+    </TabItem>
 </Tabs>
 
 :::tip