inspect-scout
Transcript Analysis for AI Agents
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- The web UI requires a running FastAPI/Uvicorn server; inspect-ai and inspect-swe are core runtime dependencies.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
MIT License (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both commercial and open-source projects.
last release 2026-08-05 (9 days) · last repo commit 2026-08-14 · 60 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 353,749 downloads/mo, #7,300 on PyPI
Alternatives
Verify before relying
pip install inspect-scout
from inspect_scout import Scout
scout = Scout()
scout.run()- 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
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 on this page. Verify before relying on it.
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
inspect-scout on PyPI
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.
Requires Python 3.10 or later. The web UI requires a running FastAPI/Uvicorn server; inspect-ai and inspect-swe are core runtime dependencies.
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()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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 31 packagesanyioclickcloudpickledillduckdbfastapiijsonimportlib-metadatainspect-aiinspect-swejinja2jsonlinesjsonschemalibcstmmh3pandaspsutilpyarrowpydanticpython-dotenvrichruamel-yamlsend2trashshortuuidsse-starlettetenacitytyping-extensionsuniversal-pathlibuvicornwrapt |
| Maintenance | Actively maintained 9 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 353,749 / month, #7,300 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: inspect_scout-0.4.46-py3-none-any.whl
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See also inspect-ai · inspect-swe · scout-apm · uipath-dev · clawmetry · claude-tap · agentops · openinference-instrumentation-openai-agents · openinference-instrumentation-crewai · inspect-evals