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AgentCheck – Pytest for AI Agents

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AgentCheck – Pytest for AI Agents
TL;DR · WeSearch summary

AgentCheck is a new tool designed for behavioral regression testing of AI agents using a pytest-style framework. It allows developers to test agent behavior rather than exact text outputs, ensuring that agents function as intended. The tool is compatible with Python versions 3.10 and above and offers various optional framework extras for enhanced functionality.

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Original publisherPypi
Canonical URLhttps://pypi.org/project/pygent-test/
Publication timeTue, 28 Apr 2026 06:27:48 +0000
Retrieval time2026-04-28T06:39:11.057Z
Last seen2026-04-28T06:39:11.057Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterhgHh2jg19mNa
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Machine-readable
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WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
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WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

pygent-test 0.2.2 pip install pygent-test Copy PIP instructions Latest release Released: May 26, 2026 Pytest-style behavioral regression testing for AI agents. Navigation Project description Release history Download files Verified details These details have been verified by PyPI Project links Homepage Issues Repository GitHub Statistics Repository Stars: Forks: Open issues: Open PRs: Maintainers ashutosh_023 Unverified details These details have not been verified by PyPI Meta License Expression: MIT SPDX License Expression Author: Ashutosh Rath Tags ai , agents , testing , pytest , evals , regression Requires: Python >=3.10 Provides-Extra: openai , langgraph , crewai , dev Classifiers Development Status 3 - Alpha Intended Audience Developers Programming Language Python :: 3 Python :: 3.10…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Pypi.

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