Runtape – counterfactual debugging and regression tests for AI agents
runtape Counterfactual debugging and regression tests for AI agents. Tracing tools such as LangSmith and Langfuse show what the agent saw. Attribution methods such as ContextCite score context for a single model response. runtape works on your agent's own recorded runs, on your machine, and is meant for investigating a specific failure and keeping it fixed.
- ▪runtape Counterfactual debugging and regression tests for AI agents.
- ▪Tracing tools such as LangSmith and Langfuse show what the agent saw.
- ▪Attribution methods such as ContextCite score context for a single model response. runtape works on your agent's own recorded runs, on your machine, and is meant for investigating a specific failure and keeping it fixed.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,968 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/RehanMohammed985/runtape |
| Publication time | Wed, 30 Sep 2026 05:15:21 +0000 |
| Retrieval time | 2026-09-30T05:21:39.724Z |
| Last seen | 2026-09-30T05:21:39.724Z |
| 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 | pqsWhA8RHvOG · 1 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
runtape Counterfactual debugging and regression tests for AI agents. Give runtape a bad agent run. It finds the part of the context that caused the bad decision, checks candidate fixes against the exact context that failed, and writes a regression test so it stays fixed. runtape why last tool:forward_email # what caused it runtape fix last tool:forward_email # which fixes hold, measured runtape fix last tool:forward_email --write-test tests/test_inbox.py An email assistant forwards an invoice to an outside address. runtape why traces the call to one sentence in an HTML comment inside a vendor email: with it, the agent forwards in 10 of 10 reruns; without it, in 0 of 10 (p = 5e-6).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.