Utilities for working with Large Language Models
Project description
RLHF-Utils
A Python package containing utilities for working with Large Language Models (LLMs).
Installation
pip install rlhf-utils
Features
- Online Server Module: Utilities for making API calls to LLM providers
- Parallel OpenAI API calls using multithreading
- Progress tracking for batch API requests
Usage Examples
Parallel OpenAI API Calls
from rlhf_utils.online_server import multithread_openai_call
from openai import OpenAI
# Initialize OpenAI client
client = OpenAI(api_key="your-api-key")
# Define messages for multiple API calls
messages = [
[{"role": "user", "content": "Explain quantum computing"}],
[{"role": "user", "content": "Write a short poem about AI"}],
[{"role": "user", "content": "Summarize the history of the internet"}]
]
# Make parallel API calls
responses = multithread_openai_call(
client=client,
messages=messages,
model_name="gpt-3.5-turbo",
max_workers=3
)
# Process responses
for i, response in enumerate(responses):
print(f"Response {i+1}:\n{response}\n")
License
MIT
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