Human Turk Labs Presents

Stable Agents

A GPS for Large Language Models to enhance accuracy and reliability

What is Stable Agents?

Stable Agents is an open-source framework that guides LLMs to produce more accurate, reliable, and consistent outputs. Just as a GPS helps navigate from point A to point B, Stable Agents helps LLMs navigate from a user query to an accurate response.

GitHub Repository

# Stable Agents Example

from stableagents import Agent, Router

# Initialize the agent with guidance
agent = Agent(
    model="gpt-4",
    guidance=Router(
        accuracy_mode=True,
        factual_verification=True
    )
)

# Get more accurate responses
response = agent.run(
    "What is the tallest mountain on Earth?"
)

print(response)
# Output: "Mount Everest is the tallest mountain 
# on Earth, with a height of 8,848.86 meters 
# (29,031.7 feet) above sea level."

Key Features

Enhanced Accuracy

Guidance mechanisms that significantly improve factual accuracy of LLM outputs

Reduced Hallucinations

Advanced techniques to minimize hallucinations and fabricated information

Model Agnostic

Works with a wide range of LLMs including GPT models, Claude, and open-source alternatives

Easy Integration

Simple API that integrates seamlessly with existing LLM applications

Contribute to the Project

Stable Agents is an open-source project and we welcome contributions from the community. Help us make LLMs more accurate, reliable, and trustworthy.

Join the Community