Agent Trace Inspector FAQs

Question 1

What is Agent Trace Inspector?

Accepted Answer

Agent Trace Inspector is a local-first observability tool designed for AI agent workflows. It records every tool call, prompt transformation, latency, and token count directly into a private SQLite database on your machine, ensuring data never leaves your environment.

Question 2

How does Agent Trace Inspector handle data privacy and security?

Accepted Answer

It prioritizes privacy by storing all trace data locally in a private SQLite database. No cloud account, API keys, or external servers are involved, making it ideal for sensitive tool outputs or proprietary prompts that must remain on-device.

Question 3

What key features does Agent Trace Inspector offer for analyzing agent workflows?

Accepted Answer

It provides detailed tool call tracing with inputs/outputs, latency, and token usage. You can generate self-contained HTML dashboards with interactive timelines, estimate token costs offline, and compare two traces side-by-side to measure the impact of changes.

Question 4

How does it compare to cloud-based observability tools like LangSmith or AgentOps?

Accepted Answer

Agent Trace Inspector is distinct through its local-first design, storing all data privately in SQLite. It offers zero-config setup, MCP-native integration, and built-in offline cost estimation and trace diffing, making it a secure alternative for on-device agent development.

Question 5

Can I export my agent workflow traces?

Accepted Answer

Yes, you can export traces in multiple formats, including self-contained single-file HTML dashboards with latency waterfalls, OpenTelemetry OTLP JSON span format, or compliance audit logs as JSON or CSV, allowing for easy sharing or further analysis.

Agent Trace Inspector

Agent Trace Inspector

Key Features

Use Cases

Key Features

Use Cases