Grafana Assistant Context Offloading

Context Offloading is a pipeline solution for managing Observability with AI Agents. If you are building AI Agents that work with real data, the context window can very easily get filled with bloated context that the Agent does not really need. Sven demonstrates "Context Offloading", a solution that stores the JSON result and sends only the summary of the JSON blob, making the LLM loop performance much quicker and keeping your context window small.

Timestamps:

00:00 - Intro

00:11 - The Problem

00:43 - Context Offloading flowchart

01:16 - Real world application demo

02:07 - Solution discovery

Links/resources:
Learn about AI-Powered Observability in Grafana Cloud: https://grafana.com/products/cloud/ai-observability/
Docs – AI Observability Overview: https://grafana.com/docs/grafana-cloud/machine-learning/ai-observability/
Docs – Introduction: https://grafana.com/docs/grafana-cloud/machine-learning/ai-observability/introduction/
Get started with the Grafana Cloud forever-free tier: https://grafana.com/g/cloud
Have a question? Ask Grot, your AI helper: https://grafana.com/grot/
Reach out in our community forums: https://gra.fan/communityyf

Thanks for watching!

👍 Was this video helpful? Like and subscribe to our channel for more videos.

Connect with Grafana Labs:
X: (https://www.twitter.com/grafana)
LinkedIn: (https://www.linkedin.com/company/grafana-labs/)
Facebook: (https://www.facebook.com/grafana)

#Grafana #observability #contextoffloading #grafanaassistant #aiagent