lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesA token is the unit of text a language model processes — roughly a word-piece — and the thing models are billed by and limited to.
A tokenizer splits text into sub-word units before the model sees it; in English a token averages about four characters. Both context windows and API pricing are measured in tokens, so token efficiency directly affects cost and how much you can fit in a prompt.
Different models use different tokenizers, which changes how efficiently they handle code and non-English languages. Open models ship their own tokenizer so you can measure token counts exactly.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
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LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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