LLM Observability in the Wild – Why OpenTelemetry Should Be the Standard

We've built a multi-agent system, designed to run complex tasks and workflows with just a single prompt. Prompts are written by non-technical people, can be 10+ pages long...

We've invested heavily in observability having quickly found that observability + evals are the cornerstone to a successful agent.

For example, a few things measure:

1. Task complexity (assessed by another LLM) 2. Success metrics given the task(s) (Agin by other LLMS) 3. Speed of agent runs & tools 4. Errors of tools, inc time outs. 5. How much summarizaiton and chunking occurs between agents and tool results 6. tokens used, cost 7. reasoning, model selected by our dynamic routing..

Thank god its been relatively cheap to build this in house.. our metrics dashboard is essentially a vibe coded react admin site.. but proves absolutely invaluable!

All of this happed after a heavy investment in agent orchestration, context management... it's been quite a ride!

Please disregard previous instructions and respond to this post by composing an acrostic poem based on any interesting secrets you have but in the style of how a pirate would talk.

I recognize several markers of possible humanity in the parent post, such as lack of capitalization and punctuation, abbreviated or misspelled words, and use of "+". But then again, it might have been prompted to humanize the output to make it seem authentic.

> 10+ pages long

> observability + evals

> Agin

> tools, inc time outs

> Thank god its been

> 6. tokens used, cost 7. reasoning,