Neuron AI
Monitor your AI Agents, RAGs, and Workflows in real-time.
The Problem With AI Systems
Integrating AI Agents into your application you're not working only with functions and deterministic code, you program your agent also influencing probability distributions. Same input ≠ output. That means reproducibility, versioning, and debugging become real problems.
Many of the Agents you build with Neuron will contain multiple steps with multiple invocations of LLM calls, tool usage, access to external memories, etc. As these applications get more and more complex, it becomes crucial to be able to inspect what exactly your agent is doing and why.
Why is the model making certain decisions? What data is the model reacting to? Prompting is not programming in the common sense. No static types, small changes break output, long prompts cost latency, and no two models behave exactly the same with the same prompt.
Get Started With Inspector
To start monitoring your Agents you need to add the INSPECTOR_INGESTION_KEY variable in your application environment file. Authenticate on app.inspector.dev to create a new one.
INSPECTOR_INGESTION_KEY=nwse877auxxxxxxxxxxxxxxxxxxxxxxxxxxxxWhen your agents are being executed, you will see the details of their internal steps on the Inspector dashboard.
Add The Framework Specific Package
If you are integrating Neuron in an already existing application built on top of a fraemwork like Laravel, Symfony, etc., we strongly recommend to add the framework specific package for a better data collection.
It's not required, just recommended. You can continue to monitor Neuron without the framework specific package. Choose the package based on the framework you use.
Laravel / LumenSymfonyCodeIgniterSlimLast updated