Show HN: Agentsnap – Snapshot testing for AI agents
agentsnap Deterministic snapshot testing for AI agents. Full documentation, including guides and API reference, lives at iamfaham.github.io/AgentSnap. agentsnap records your agent's LLM and tool calls during a golden run and produces a committed snapshot file. Deterministic, zero cost, catches code regressions (prompt edits, broken tool wiring, changed call counts).
- ▪agentsnap Deterministic snapshot testing for AI agents.
- ▪Full documentation, including guides and API reference, lives at iamfaham.github.io/AgentSnap. agentsnap records your agent's LLM and tool calls during a golden run and produces a committed snapshot file.
- ▪Deterministic, zero cost, catches code regressions (prompt edits, broken tool wiring, changed call counts).
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,796 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/iamfaham/AgentSnap |
| Publication time | Wed, 29 Jul 2026 16:18:08 +0000 |
| Retrieval time | 2026-07-29T16:46:03.072Z |
| Last seen | 2026-07-29T16:46:03.072Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Ymnk7W2Jg4kM · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
agentsnap Deterministic snapshot testing for AI agents. Full documentation, including guides and API reference, lives at iamfaham.github.io/AgentSnap. agentsnap records your agent's LLM and tool calls during a golden run and produces a committed snapshot file. On every subsequent run it replays the same inputs and compares the new trace against the snapshot across four dimensions: Dimension What it checks How Structural Tool call names and order Levenshtein edit distance on the tool sequence Arguments Tool call arguments deepdiff (if installed) or plain dict diff, with configurable ignored fields Model tools Which tool the model itself requested (not just what your code executed) Levenshtein edit distance on tool_requests, plus per-request argument diffs Semantic LLM responses and final…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.