Debugging AI Agents: Observability Best Practices with Inkeep & SigNoz
AI agents are powerful, but debugging them in production is hard. Non-deterministic behavior, LLM latency, and token costs introduce new observability challenges that traditional monitoring tools don’t fully address.
In this webinar, engineers from Inkeep and SigNoz walk through how Inkeep monitors its AI agent framework in production using OpenTelemetry-native observability with SigNoz.
What you’ll learn:
How Inkeep’s AI agent framework is architected (push/pull workflow, sub-agents, tools)
Why observability is critical for agentic systems
How SigNoz traces, metrics, and dashboards help debug complex agent workflows
Live demo: tracing agent execution, tool calls, latency, and token usage
Best practices for monitoring and optimizing AI agents in production
Speakers and Moderators:
- Shagun Singh (Speaker) — Software Engineer @ Inkeep
- Goutham Karthi (Speaker) — Software Engineer @ SigNoz
- Anushka Karmakar (Moderator) — PMM @ SigNoz
- Gaurav Varma (Moderator) — DX Engineer @ Inkeep
Agenda (40 min):
15 min — Inkeep engineer: AI agent architecture & observability needs
15 min — SigNoz engineer: Live monitoring & debugging demo
10 min — Live Q&A
About Inkeep:
Inkeep helps teams build and manage AI agents using a no-code visual builder or a developer SDK, with full two-way sync that enables seamless collaboration between technical and non-technical users in a single platform.
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Get agents running locally in under 5 minutes: https://docs.inkeep.com/get-started/quick-start
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About SigNoz:
SigNoz is an open-source observability platform built natively on OpenTelemetry. It provides traces, metrics, and logs in a single pane of glass; a cost-effective alternative to Datadog and New Relic.
Get started in under 5 minutes: https://signoz.io/docs/install/
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