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#observability

All posts tagged with #observability

Rising New Top Signal

AgenticWorks

A community for developers awakening to agentic AI. Hands-on lessons, enterprise-grade context engineering, and a forum that earns its quiet.

Platform

Learn
Forum
Showcase

Project

About

Community

Network
Code of conduct

Field reports

Monthly notes on what shipped, what broke, and what we learned.

AgenticWorks

Learn Showcase Forum Community

Back to forum

#observability

All posts tagged with #observability

Rising New Top Signal

Cover image for "Token counts don't explain tool failures."

Aisha Bennett5/19/2026

Staff Reliability Engineer · Energy

article

Token counts don't explain tool failures.

Agent observability needs span-level tool attribution, critic decisions, and replayable traces, not aggregate token dashboards that hide the fork where everything went wrong.

#observability #agents #mlops #workflow #eval

Cover image for "The platform is only as good as the traces you feed it."

Elena Ibrahim6/4/2026

MLOps Engineer · Hospitality

article

The platform is only as good as the traces you feed it.

LangSmith gives you tracing, datasets, and online evals out of the box. The teams that get value wire production failures back into golden datasets. Here's the loop, end to end.

#langsmith #observability #eval #agents #mlops

#observability | AgenticWorks Forum

Aisha Bennett5/19/2026

Staff Reliability Engineer · Energy

article

Token counts don't explain tool failures.

Agent observability needs span-level tool attribution, critic decisions, and replayable traces, not aggregate token dashboards that hide the fork where everything went wrong.

#observability #agents #mlops #workflow #eval

Elena Ibrahim6/4/2026

MLOps Engineer · Hospitality

article

The platform is only as good as the traces you feed it.

LangSmith gives you tracing, datasets, and online evals out of the box. The teams that get value wire production failures back into golden datasets. Here's the loop, end to end.

#langsmith #observability #eval #agents #mlops