usellm 0.0.7

Use Large Language Models in Python App

useLLM - Use Large Language Models in Python App

The usellm Python library enables interaction with a chat-based Large Language Model (LLM) service. This interaction can be used to perform various language-related tasks, like generating chat conversation using the OpenAI API. It's designed as a Python port of the usellm JavaScript library.

Installation

The library can be installed with pip:

pip install usellm

Example Usage

Here is a basic usage example:

from usellm import Message, Options, UseLLM

# Initialize the service
service = UseLLM(service_url="https://usellm.org/api/llm")

# Prepare the conversation
messages = [
  Message(role="system", content="You are a helpful assistant."),
  Message(role="user", content="What can you do for me?"),
]
options = Options(messages=messages)

# Interact with the service
response = service.chat(options)

# Print the assistant's response
print(response.content)

The above code will generate a response using the OpenAI ChatGPT API. The service URL "https://usellm.org/api/llm" should be used only for testing.

Classes and Methods

1. UseLLM class

The UseLLM class provides the interface for interacting with the LLM service.

Methods:

• __init__(self, service_url: str): Initializes a new instance of the UseLLM class.
• chat(self, options: Options) -> Message: Interacts with the LLM using the provided Options, and returns a Message instance that represents the LLM's response.

2. Options class

The Options class represents a set of configuration options for a chat interaction with the LLM.

• messages: A list of Message instances representing the conversation up to the current point.
• stream: A boolean indicating if the interaction is a streaming interaction. Note: streaming is currently not supported.
• template: A string representing a message template to guide the conversation.
• inputs: A dictionary of additional inputs for the conversation.

Methods:

• __init__(self, messages: Optional[List[Message]] = [], stream: Optional[bool] = None, template: Optional[str] = None, inputs: Optional[dict] = None): Initializes a new instance of the Options class.

3. Message class

The Message class represents a message in a conversation. It consists of two main attributes:

• role: The role of the message sender. Common values could be system, user, assistant.
• content: The content of the message.

Methods:

• __init__(self, role: str, content: str): Initializes a new instance of the Message class.
• __repr__(self) -> str: Returns a string representation of the Message instance.
• __str__(self) -> str: Returns a string representation of the Message instance.
• to_dict(self) -> dict: Returns a dictionary representation of the Message instance.
• to_json(self) -> str: Returns a JSON string representation of the Message instance.

Exceptions

The library raises an Exception in the following situations:

• If the stream option is set to True, because streaming is not currently supported.
• If the HTTP response status code from the LLM service is not 200.
• If the HTTP response from the LLM service contains an "error" field.
• If the HTTP response from the LLM service does not contain a "choices" field.

Please create an issue to report bugs or suggest improvements. Learn more about the original JavaScript library here: https://usellm.org