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simplify the initiation of chat (#1131)

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* simplify the initiation of chat

* version update

* include openai

* completion
This commit is contained in:
Chi Wang
2023-07-17 20:40:41 -07:00
committed by GitHub
parent 7665f73e4b
commit 16f0fcd6f8
16 changed files with 146 additions and 121 deletions
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29
website/docs/Use-Cases/Auto-Generation.md
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@@ -43,9 +43,9 @@ user_proxy = UserProxyAgent(
)
# the assistant receives a message from the user, which contains the task description
assistant.receive(
user.initiate_chat(
assistant,
"""What date is today? Which big tech stock has the largest year-to-date gain this year? How much is the gain?""",
user_proxy,
)
```
In the example above, we create an AssistantAgent named "assistant" to serve as the assistant and a UserProxyAgent named "user_proxy" to serve as a proxy for the human user.
@@ -76,7 +76,7 @@ oai_config = {
"functions": [
{
"name": "execute_code",
"description": "Receive a list of python code or shell script and return the execution result.",
"description": "Receive a python code or shell script and return the execution result.",
"parameters": {
"type": "object",
"properties": {
@@ -99,23 +99,26 @@ oai_config = {
# create an AssistantAgent instance named "assistant"
chatbot = AssistantAgent("assistant", config_list=config_list, **oai_config)
# define your own function. Here we use a pre-defined '_execute_code' function from a UserProxyAgent instance
# we define a wrapper function to call `exec_func`
exec_func = UserProxyAgent(name="execute_code", work_dir="coding", use_docker=False)._execute_code
def execute_code(code_type, code):
return exec_func([(code_type, code)])
# create a UserProxyAgent instance named "user", the execute_code_function is passed
# create a UserProxyAgent instance named "user"
user = UserProxyAgent(
"user",
human_input_mode="NEVER",
function_map={"execute_code": execute_code},
work_dir="coding",
)
# define an `execute_code` function according to the function desription
def execute_code(code_type, code):
# here we reuse the method in the user proxy agent
# in general, this is not necessary
return user.execute_code([(code_type, code)])
# register the `execute_code` function
user.register_function(function_map={"execute_code": execute_code})
# start the conversation
chatbot.receive(
user.initiate_chat(
assistant,
"Draw a rocket and save to a file named 'rocket.svg'",
user,
)
```