Lesson 586 of 2116
Telemetry Dashboards for Agent Activity
Build the observability habits agents need: event logs, tool-call trails, counters, and human-readable status.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1What the local Hermes build teaches
- 2telemetry
- 3event log
- 4tool call
Concept cluster
Terms to connect while reading
Section 1
What the local Hermes build teaches
This build lab focuses on the dashboard that lets humans see what an agent did and why. The goal is not to copy a private machine setup. The goal is to learn the architecture pattern well enough to build a small, classroom-safe version.
An agent dashboard should log events, tool calls, file writes, delegations, todos, failures, and cost counters in a way humans can audit.
Compare the options
| Hermes pattern | Student build | Risk to handle |
|---|---|---|
| Name the boundary | a dashboard wireframe with status, recent events, tool calls, file writes, and open todos | debugging agent behavior from vibes because no one stored the steps, tools, or decisions |
| Keep the interface small | Start with one happy path and one failure path | Avoid a demo that only works when everything is perfect |
| Make the system observable | Log decisions, status, and errors in plain language | Do not log private data or secrets |
Build the small version
- 1Draw or write a dashboard wireframe with status, recent events, tool calls, file writes, and open todos.
- 2Mark which parts are user-facing, which parts are internal, and which parts require approval.
- 3Choose one low-risk workflow and implement only that workflow first.
- 4Add one failure case before adding a second feature.
- 5Write a short operator note: what the agent may do, what it must ask about, and what it must never do.
A classroom-safe skeleton inspired by the local Hermes architecture scan.
event_log row:
id
time
session_id
actor
event_type
summary
tool_name
risk_level
cost_estimate
result_statusKey terms in this lesson
The big idea: telemetry is not decoration. It is part of the product architecture students need before an agent becomes safe enough to use with real people.
End-of-lesson quiz
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