Are you worried about the safety and reliability of your AI agents?

Our platform enforces safeguards, detects failures, and enables real-time human intervention.

Integration Steps

Up and running in 5 minutes

Wrap LLM Client

Add Supervisors

Deploy & Monitor

1

Wrap your LLM client

Add a few lines of code at the start of your agent execution

example.py
1# Initialize Hibble
2run_id = Hibble_init()
3

4# Wrap your favourite LLM client
5client = Hibble_openai_client(OpenAI(), run_id)
2

Attach Supervisors

Add safety checks to protect sensitive operations

example.py
1# Wrap agent functions with custom/built-in supervisors
2@supervise(human_supervisor())
3def database_modify(query: str):
4    """Modify the database."""
3

Deploy & Monitor

Run your agent with confidence and monitor its actions in real-time

From Passive Monitoring to Active Control

After integrating, you can deploy your agent safely and monitor its actions in real-time.

Monitor and Detect Failures

Launch your agent with async monitoring - we detect and log issues while letting the agent run independently.

Enable Interventions

Once confident, activate real-time supervision to prevent errors before they occur.

Reduce Oversight

Your agent learns from each interaction, requiring fewer manual interventions over time.

Benefits of Using Hibble

Transform your AI agents from experimental to enterprise-ready.

Full Control, Zero Compromise

Enjoy the benefits of autonomy in AI agents without the risk. Step in when needed, while agents perform independently when trusted.

Enforce Policies with Precision

Set clear boundaries for agent behavior and enforce them in real time. Ensure adherence to rules you define, from data access to ethical standards.

Continuous Evolution

Bridge the gap between developers and domain experts, turning every interaction into an opportunity for improvement.

Adaptive Learning for Safer Operations

Enable agents to gradually take on more responsibility and make autonomous decisions without compromising safety.

Hibble is building the foundation for an agent-based future.

If you're deploying agents and running into challenges relating to reliability, safety or performance, we'd love to chat.