Can you analyze this code and provide a prompt loop?
Sure, I’d be happy to help! Could you please share the code you’d like me to analyze and let me know what specific information or assistance you’re looking for?
import autogen
config_list = [
{
“api_type”:”openai”,
“api_base”:”http://localhost:5151/v1″,
“api_key”: “sk-11111111111111111111111111111111”
}
]
llm_config = {“config_list”: config_list, “seed”: 42 }
user_proxy = autogen.UserProxyAgent (
name=”User_proxy”,
system_message=”HumanAdmin”,
code_execution_config={“last_n_messages”:2, “work_dir”: “groupchat”},
human_input_mode=”terminate”
)
coder = autogen.AssistantAgent(
name=”Coder”,
llm_config=llm_config,
)
This code seems to be setting up a configuration for a system involving autogen, which might be a library or a module related to code generation or automation. It looks like it’s configuring an OpenAI API connection, specifically for the GPT (Generative Pre-trained Transformer) model.
Let me break down what each part of the code is doing:
1. **API Configuration:**
– It defines an API configuration for an OpenAI API.
– The API type is set to “openai.”
– The API base URL is set to a local server at http://localhost:5151/v1.
– An API key is provided for authentication.
“`python
config_list = [
{
“api_type”: “openai”,
“api_base”: “http://localhost:5151/v1”,
“api_key”: “sk-11111111111111111111111111111111”
}
]
“`
2. **LLM Configuration:**
– It sets up a language model (LLM) configuration using the previously defined API configuration.
– The `seed` is set to 42.
“`python
llm_config = {“config_list”: config_list, “seed”: 42 }
“`
3. **User Proxy Agent Configuration:**
– It configures a user proxy agent, named “User_proxy.”
– `system_message` is set to “HumanAdmin.”
– `code_execution_config` specifies the number of last messages and the working directory.
– `human_input_mode` is set to “terminate.”
“`python
user_proxy = autogen.UserProxyAgent (
name=”User_proxy”,
system_message=”HumanAdmin”,
code_execution_config={“last_n_messages”:2, “work_dir”: “groupchat”},
human_input_mode=”terminate”
)
“`
4. **Assistant Agent Configuration:**
– It configures an assistant agent named “Coder.”
– It uses the previously defined LLM configuration.
“`python
coder = autogen.AssistantAgent(
name=”Coder”,
llm_config=llm_config,
)
“`
As for a prompt loop, it seems like this code is setting up agents and configurations. A prompt loop would typically involve interacting with the assistant (coder in this case) in a repetitive manner, taking user input and generating responses. If you have specific requirements for the prompt loop or if you’d like assistance with a particular aspect of it, feel free to provide more details!
Then how about a prompt for the initial question as I can set the human inpout mode to interact
Certainly! If you want to set up a prompt for the initial interaction with the “Coder” assistant in an interactive mode, you might want to ask a question related to coding. Here’s a sample prompt:
“`python
user_input = input(“You: “)
# Assuming autogen is set up to interact with the assistant
response = coder.interact(user_input)
print(f”Coder: {response}”)
“`
This is a basic prompt loop where the user provides input, it’s passed to the `interact` method of the “Coder” assistant, and the response is printed. You can customize the prompt to fit your specific use case or ask questions related to the task you want the assistant to perform.
Remember to handle the interaction appropriately based on the context of your application or script.
Then how about embedding the prompt in the script so it will just run
Certainly! If you want to embed the prompt loop in the script and have it run without external input, you can simulate a conversation within the script. Here’s an example:
“`python
import autogen
# Your previous code for configuration
# Set up the initial interaction
user_input = “What is the purpose of autogen?”
# Assuming autogen is set up to interact with the assistant
response = coder.interact(user_input)
print(f”You: {user_input}”)
print(f”Coder: {response}”)
“`
In this example, I’ve set the `user_input` variable to a question, and then it simulates the interaction with the assistant using the `interact` method. The user’s input and the assistant’s response are then printed.
You can modify the `user_input` variable to include different questions or prompts based on your specific needs. This script will run and provide you with the output of the assistant’s response to the initial question.
This: File “c:ProgramDataminiconda3envsautogenlibsite-packagesopenaiapi_requestor.py”, line 609, in request_raw
raise error.APIConnectionError(
openai.error.APIConnectionError: Error communicating with OpenAI: HTTPConnectionPool(host=’localhost’, port=5151): Max retries exceeded with url: /v1/chat/completions (Caused by NewConnectionError(‘: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it’))
The error indicates that there’s an issue establishing a connection with the OpenAI API. The specific message is:
“`
HTTPConnectionPool(host=’localhost’, port=5151): Max retries exceeded with url: /v1/chat/completions (Caused by NewConnectionError(‘: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it’))
“`
This error typically occurs when the client (your script) is unable to connect to the specified host and port. Here are a few things you can check:
1. **Local Server Running:**
– Make sure that the local server specified in your OpenAI API configuration is running at http://localhost:5151/v1. If it’s not running, start the server.
2. **Firewall/Security Software:**
– Ensure that there are no firewall or security software settings blocking the connection. The error message “No connection could be made because the target machine actively refused it” suggests that the server is actively refusing the connection.
3. **Correct API Key:**
– Double-check that the API key you provided is correct and valid.
4. **Network Configuration:**
– If you’re running this on a network, ensure that there are no network issues preventing the connection.
5. **Localhost vs External IP:**
– If you’re running the server on a different machine, make sure to use the correct IP address instead of localhost in your API configuration.
Once you’ve checked these aspects, you should be able to resolve the connection issue. If the problem persists, it might be worth checking the documentation of the library or service you are using for more specific troubleshooting steps.