Show HN: KORA Doctor – find LLM calls your agent may not have needed
KORA Doctor Find the LLM calls your AI agent may never have needed. AUDR can tell you what an agent run did and what it cost. KORA Doctor asks the next question: Did all of that inference need to happen?
- ▪KORA Doctor Find the LLM calls your AI agent may never have needed.
- ▪AUDR can tell you what an agent run did and what it cost.
- ▪KORA Doctor asks the next question: Did all of that inference need to happen?
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,783 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/Krako-Labs/kora-doctor |
| Publication time | Wed, 07 Oct 2026 04:55:28 +0000 |
| Retrieval time | 2026-10-07T05:07:44.004Z |
| Last seen | 2026-10-07T05:07:44.004Z |
| 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 | eIXVDfQcUlUR · 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
KORA Doctor Find the LLM calls your AI agent may never have needed. AUDR can tell you what an agent run did and what it cost. KORA Doctor asks the next question: Did all of that inference need to happen? KORA Doctor is a small open-source CLI that analyzes AUDR JSON/JSONL and flags calls that may be worth removing, caching, replacing with deterministic logic, or moving to a cheaper model. No dashboard. No account. No hosted service. Quick start Install directly from GitHub: pipx install git+https://github.com/Krako-Labs/kora-doctor.git Then audit an AUDR file: kora-doctor audit audr.jsonl From a clone: python3 -m kora_doctor audit samples/inefficient_agent.jsonl Machine-readable output: kora-doctor audit audr.jsonl --json Example The included inefficient trace is synthetic and…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.