doc and test update (microsoft#1053)

* doc and test update

* docker update

.devcontainer/Dockerfile

@@ -17,7 +17,7 @@ RUN apt-get update \
    && rm -rf /var/lib/apt/lists/*
 ENV DEBIAN_FRONTEND=dialog
 
-RUN pip3 --disable-pip-version-check --no-cache-dir install flaml
+# RUN pip3 --disable-pip-version-check --no-cache-dir install flaml
 # For docs
 RUN npm install --global yarn
 RUN pip install pydoc-markdown==4.5.0

.devcontainer/devcontainer.json

@@ -9,5 +9,5 @@
         },
         "terminal.integrated.defaultProfile.linux": "bash"
     },
-    "updateContentCommand": "pip install -e .[test,notebook] && pre-commit install"
-}
+    "updateContentCommand": "pip install -e .[test,notebook,openai] && pre-commit install"
+}

flaml/autogen/agent/chat_agent.py

@@ -4,25 +4,15 @@
 
 
 class ChatAgent(Agent):
-    """(Experimental) Chat."""
-
     DEFAULT_SYSTEM_MESSAGE = """You are a chat agent.
     """
 
     DEFAULT_CONFIG = {
         "model": DEFAULT_MODEL,
     }
 
-    def __init__(self, name, system_message=DEFAULT_SYSTEM_MESSAGE, work_dir=None, **config):
-        """
-        Args:
-            name (str): agent name
-            system_message (str): system message to be sent to the agent
-            work_dir (str): working directory for the agent to execute code
-            config (dict): other configurations.
-        """
+    def __init__(self, name, system_message=DEFAULT_SYSTEM_MESSAGE, **config):
         super().__init__(name, system_message)
-        self._work_dir = work_dir
         self._config = self.DEFAULT_CONFIG.copy()
         self._config.update(config)
         self._sender_dict = {}

flaml/autogen/agent/user_proxy_agent.py

@@ -24,7 +24,7 @@ def __init__(
             name (str): name of the agent
             system_message (str): system message to be sent to the agent
             work_dir (str): working directory for the agent
-            human_input_mode (bool): whether to ask for human inputs every time a message is received.
+            human_input_mode (str): whether to ask for human inputs every time a message is received.
                 Possible values are "ALWAYS", "TERMINATE", "NEVER".
                 (1) When "ALWAYS", the agent prompts for human input every time a message is received.
                     Under this mode, the conversation stops when the human input is "exit",
@@ -34,12 +34,12 @@ def __init__(
                 (3) When "NEVER", the agent will never prompt for human input. Under this mode, the conversation stops
                     when the number of auto reply reaches the max_consecutive_auto_reply or or when is_termination_msg is True.
             max_consecutive_auto_reply (int): the maximum number of consecutive auto replies.
-                default: None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case).
+                default to None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case).
                 The limit only plays a role when human_input_mode is not "ALWAYS".
             is_termination_msg (function): a function that takes a message and returns a boolean value.
                 This function is used to determine if a received message is a termination message.
-            config (dict): other configurations.
-
+            use_docker (bool): whether to use docker to execute the code.
+            **config (dict): other configurations.
         """
         super().__init__(name, system_message)
         self._work_dir = work_dir

test/autogen/test_user_proxy_agent.py

@@ -3,7 +3,7 @@
 KEY_LOC = "test/autogen"
 
 
-def test_human_agent():
+def test_user_proxy_agent():
     try:
         import openai
     except ImportError:
@@ -29,4 +29,4 @@ def test_human_agent():
 
 
 if __name__ == "__main__":
-    test_human_agent()
+    test_user_proxy_agent()