---
id: inspect-scout
version: "0.4.46"
license: MIT License
license_treatment: permissive
maintenance: active
---

# inspect-scout — Transcript Analysis for AI Agents

License: permissive · Maintenance: active · Downloads: 353.7K/mo

## What it is and what it does

Inspect Scout is a web-based tool for analyzing and debugging AI agent execution. It takes transcripts from AI agent runs—particularly those built with the inspect-ai framework—and presents them through an interactive web interface where you can explore execution traces, inspect intermediate states, and understand agent decision-making.

The package bundles a FastAPI backend with a React/TypeScript frontend (delivered as a git submodule), providing a dashboard-style view into agent behavior. It's designed for developers and researchers who need to understand what their AI agents are doing at each step, making it useful for debugging, validation, and understanding agent performance. The dependency on inspect-ai and inspect-swe suggests it's tightly integrated with that ecosystem.

Use it for:

- Debug AI agent behavior by stepping through execution traces and inspecting intermediate states
- Visualize decision-making logic in multi-step agent workflows to understand where failures occur
- Analyze transcript data from completed agent runs to validate correctness and performance
- Explore agent reasoning and tool-use patterns across multiple runs for research or optimization

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Inspect Scout analyzes and visualizes transcripts from AI agent runs, providing a web-based interface to explore execution traces, inspect intermediate states, and debug agent behavior.

Yes, if you're working with inspect-ai agents and need visibility into execution behavior. The active maintenance, low install friction, permissive license, and lack of known vulnerabilities make it a safe choice. The 31-package dependency tree is substantial but standard; weigh this against whether transcript analysis is essential to your workflow.

## Install

pip install inspect-scout
uv add inspect-scout
poetry add inspect-scout

## Installing inspect-scout

Before you install: Low install friction with a pure-Python wheel. Active maintenance—last commit 9 days ago—and recently released (0.4.46 on 2026-08-05). Depends on 31 runtime packages including inspect-ai and inspect-swe, plus a web stack (FastAPI, Uvicorn, Starlette); this is a substantial dependency tree but all are standard Python packages.

License in practice: MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both commercial and open-source projects.

Quickstart:

pip install inspect-scout

from inspect_scout import Scout

scout = Scout()
scout.run()

Requires Python 3.10 or later. The web UI requires a running FastAPI/Uvicorn server; inspect-ai and inspect-swe are core runtime dependencies.

Verify before relying:

- Whether Scout can be used standalone or requires an existing inspect-ai agent run to analyze
- What transcript formats Scout accepts and whether it integrates with other AI frameworks beyond inspect-ai
- Performance characteristics when analyzing large or complex execution traces

## Package facts

- License: MIT License (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 353.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

ai agent transcript analysis, inspect ai execution traces, agent debugging visualization, ai run transcript viewer, agent execution inspector, agent-debugging, ai-observability, transcript-analysis

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