LLMClaud Lab researches efficient transformer architectures and ships reliable inference APIs for developers building real applications — fast, predictable, and private by design.
Read the docsEverything you need to integrate language intelligence without operating your own GPU fleet.
Streaming responses with median time-to-first-token under 240 ms across our edge regions.
Up to 200K tokens of context for documents, codebases and multi-turn agents.
Native JSON schema and tool-calling so responses fit your pipeline, not the other way around.
No training on your data. Regional processing options and short retention windows.
First-class Python and TypeScript libraries with the same surface you already know.
Per-token billing with generous free tier for prototyping and research use.
Pick a tier for your workload — from cheap classification to frontier reasoning.
| Model | Context | Best for | API name |
|---|---|---|---|
| LC-Mini | 64K | Classification, extraction, routing | lc-mini |
| LC-Base | 128K | Chat, summarization, RAG | lc-base |
| LC-Pro | 200K | Reasoning, coding, agents | lc-pro |
Create a key, install the SDK, send your first request.
| Step | Command |
|---|---|
| Install | pip install llmclaud |
| Authenticate | export LLMCLAUD_API_KEY=... |
| Call | client.chat("lc-pro", "Hello") |
LLMClaud Lab is an independent applied-research group focused on making language models efficient enough to run reliably at scale. We publish notes on inference optimization, evaluation and safety. We are not affiliated with any other AI vendor.