Overview
Monitor and evaluate LLM applications in production with real-time tracing, session analysis, and alerting.
What it is
Observability is Future AGI’s production monitoring layer for LLM applications. It provides deep visibility into application performance through telemetry tracing, session management, and evaluation metrics — enabling teams to detect issues, track quality over time, and troubleshoot root causes across model interactions.
Purpose
- Monitor performance in real time — Track latency, throughput, and quality metrics across LLM application interactions as they happen.
- Detect reliability issues — Identify hallucinations, factual inaccuracies, and inconsistent responses before they reach end users.
- Trace and debug — Capture detailed execution paths to pinpoint root causes through trace analysis.
- Manage sessions — Group related traces for comprehensive analysis of multi-turn interactions and chatbot flows.
- Enforce safety and fairness — Continuously evaluate for bias, fairness, and policy violations in production outputs.
- Alert on anomalies — Configure alerts for real-time issue detection and notification.
Getting started with Observability
Set Up Observability
Connect the SDK and start capturing traces in minutes.
Evals
Run evaluations on observed traces and sessions.
Sessions
Group and analyze multi-turn interactions.
Users
Track and analyze activity by user.
Alerts & Monitors
Configure alerts for real-time issue detection.
Voice Observability
Monitor voice agent interactions and call quality.