Show HN: Submit asynchronous LLM batch jobs through one interface
batchlane Submit asynchronous LLM batch jobs through one interface. Eight adapters cover Anthropic, Gemini AI Studio, OpenAI, Groq, Mistral, Fireworks, Together, and DeepInfra. Batch pricing, model availability, and turnaround depend on the provider.
- ▪batchlane Submit asynchronous LLM batch jobs through one interface.
- ▪Eight adapters cover Anthropic, Gemini AI Studio, OpenAI, Groq, Mistral, Fireworks, Together, and DeepInfra.
- ▪Batch pricing, model availability, and turnaround depend on the provider.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,201 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/gojiplus/batchlane |
| Publication time | Wed, 23 Sep 2026 23:33:56 +0000 |
| Retrieval time | 2026-09-23T23:39:55.319Z |
| Last seen | 2026-09-23T23:40:07.846Z |
| 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 | -hxfIQ9YrRLu · 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
batchlane Submit asynchronous LLM batch jobs through one interface. Eight adapters cover Anthropic, Gemini AI Studio, OpenAI, Groq, Mistral, Fireworks, Together, and DeepInfra. Batch pricing, model availability, and turnaround depend on the provider. Only Anthropic has been verified end to end against a live API; the other adapters have mocked contract tests. import batchlane as bl model = "groq/llama-3.3-70b-versatile" prompts = ["The product was great.", "It broke in a week."] answers = bl.map(model, prompts, system="Classify the sentiment.") One prompt over many inputs, answers back in input order, None where a row failed. Underneath it splits the job to fit the provider's caps, submits however many batches that takes, waits, and rejoins the results.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.