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Welcome to HaliosAI

HaliosAI gives teams production-ready reliability guardrails and evaluation tools that catch tricky failures before they ever reach users. From offline testing to live guardrail checks, streaming response validation, and multi-agent support, HaliosAI ensures agents behave as intended across the full lifecycle. For developers, integration is seamless: plug into our REST API or add a simple Python decorator to your code and get instant coverage without re-architecting. For product leaders and CTOs, HaliosAI delivers the confidence to scale AI features quickly, knowing every interaction has been tested and validated. That’s why leading companies rely on HaliosAI to deploy dependable AI agents at scale, without sacrificing innovation speed.

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Quick Example

import asyncio
from haliosai import guarded_chat_completion

@guarded_chat_completion(agent_id="your-agent-id")
async def my_ai_function(messages):
    # Your LLM call here
    return await openai_client.chat.completions.create(
        model="gpt-4",
        messages=messages
    )

# That's it! Your function is now protected by guardrails
response = await my_ai_function([
    {"role": "user", "content": "Hello, how can you help me?"}
])

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Key Features

Easy Integration

Simple decorators and patchers for existing AI agent code

Parallel Processing

Run guardrails and agent calls simultaneously for optimal performance

Streaming Support

Real-time guardrail evaluation for streaming responses

Multi-Agent Support

Per-agent guardrail profiles for complex AI systems

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Getting Started

Quick Start

Get up and running in 5 minutes

Use Cases

Explore how HaliosAI works across the agent lifecycle

Explore UI

Learn the complete workflow from signup to monitoring

Integration Examples

Practical integration examples
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