How to Set Up LLM Tracing in Minutes with OpenTelemetry | Ep. 3 @arizeai
How to Set Up LLM Tracing in Minutes with OpenTelemetry | Ep. 3  @arizeai
Uploaded July 2026 | Updated September 2026, 3 weeks ago
Learn how to instrument any AI app and start capturing traces with almost no code changes. You can't evaluate what you can't observe, so this is where every eval strategy has to start.
Without tracing, a failing agent is a black box: you know something went wrong, but not which call, tool, or step caused it.

Watch this to learn:
• What tracing captures: every LLM call, tool call, and agent step
• How to instrument with OpenInference and OpenTelemetry, with auto-instrumentation and no manual logging
• How to start a free Arize AX trial, grab your API key and space ID, and use Arize Skills with your coding agent
• Why the same traces you capture in development work in production

Chapters:
00:00 You can't evaluate what you can't observe
00:25 See what tracing captures
00:52 Start a free trial and get your API keys
01:17 Instrument with OpenInference, no code changes
02:48 Why it works: OpenTelemetry is an open standard
03:13 Arize Skills for your coding agent
03:50 The same traces work in production

👉 Sign up for free: app.arize.com/auth/login?utm_source=youtube&utm_medium=organic_social&utm_campaign=arize_ax_getting_started
🔗 Learn more about Arize AX: arize.com
📓 Colab notebook for the series: colab.research.google.com/drive/1dViThD0kJjbqtDGE7-ciBYIRwV-HBN1T
📚 Docs: docs.arize.com
🔔 Subscribe for weekly content on LLMs, agents, and evaluation: youtube.com/@arizeai?sub_confirmation=1
#ArizeAX #AgentObservability #OpenTelemetry
How to Set Up LLM Tracing in Minutes with OpenTelemetry | Ep. 3How TripAdvisor Debugs AI Agents at ScaleLeveling Up AI Agents with LLM Evaluations, Feedback Loops and Context EngineeringFrom User Feedback to Code Pull Requests: The AI Flywheel5 LLM and Agent Eval Mistakes That Turn Metrics Into Noise | Ep. 8Kubernetes Is Not Your Sandbox: Building Infrastructure for AI Agents | Daytona | Arize Observe 2026AI Agent Mastery Certification Course: Module 5 – RAG & Agentic RAGAI’s Next Wave: What VCs Are Betting On in 2026 | Jaya Gupta | Arize Observe 2026How DeepSeek is Pushing the Boundaries of AI DevelopmentUsing Annotations to Build an Eval-Driven LLM Development PipelineServiceNow’s AgentArch: Benchmarking AI Agents for Enterprise WorkflowsHow to Evaluate Tool-Calling Agents
Arize AI |

How to Set Up LLM Tracing in Minutes with OpenTelemetry | Ep. 3

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER