How HAPI Works
Step 1: Integrate Our API
Add a simple API call right before each token is generated. This ensures you get a real-time score indicating potential hallucinations or inconsistencies.
Step 2: Monitor Internal States
Our system analyzes internal signals from your LLM’s generation process, identifying early signs of factual drift. This lets you course-correct quickly.
Step 3: Reduce Hallucinations in Real Time
If our score crosses your custom threshold, our API takes immediate action by nudging the LLM to regenerate immediately.
Why Choose HAPI?
Keep an eye on every token your LLM generates. Our API flags suspicious patterns before they spiral into lengthy hallucinations.
HAPI is lightweight, adding only a small fraction of extra compute time per generation step, preserving your model’s overall throughput.
Tailor HAPI to your domain or data. Define thresholds and signals that matter most to your use case.
