Observability: seeing inside
The idea: Trace every request — inputs, retrieved context, the assembled prompt, the output, tool calls, tokens, latency, cost, errors — plus user feedback. You can't fix what you can't see.
What you'll be able to do: You can explain LLM observability: what to trace and why it's essential in production.
The problem it solves: Users say 'the AI is wrong sometimes.' Which calls? Why? You have no idea.
Builds on: An LLM feature in production
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