LLM-mock – Record real LLM API responses once, replay them in tests forever
The article introduces llm-mock, a tool designed to record and replay LLM API calls for testing purposes. It allows developers to run tests without incurring costs or requiring API keys after the initial recording. The tool integrates seamlessly with pytest, enabling deterministic testing of LLM responses.
- ▪llm-mock allows recording real LLM responses and replaying them in tests without needing an API key.
- ▪The tool helps reduce costs associated with API calls during continuous integration runs.
- ▪It intercepts HTTP calls at the transport layer, requiring no changes to existing application code.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,329 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Pypi |
| Canonical URL | https://pypi.org/project/llm-mock/ |
| Publication time | Thu, 21 May 2026 13:04:57 +0000 |
| Retrieval time | 2026-05-21T13:11:11.033Z |
| Last seen | 2026-05-21T13:11:11.033Z |
| 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 | z7xyue0N6GLN · 2 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
llm-mock 0.1.1 pip install llm-mock Copy PIP instructions Latest version Released: May 21, 2026 Record and replay LLM API calls for deterministic testing Navigation Project description Release history Download files Verified details These details have been verified by PyPI Maintainers troman Unverified details These details have not been verified by PyPI Meta Requires: Python >=3.10 Provides-Extra: dev Report project as malware Project description Project details Release history Download files Project description llm-mock Record real LLM responses once, replay them in tests forever — no API key required, no cost, no non-determinism.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Pypi.