Saylor Innovations Guide Library x402 REST usage
CUDA, driver and Ollama compatibility - GPU support, model memory fit and proof inference uses the GPU
4 services carry this tag in their source record. Tags come from the provider, not from us — a tag is a claim about what the service does, not proof that it does it well.
CUDA, driver and Ollama compatibility - GPU support, model memory fit and proof inference uses the GPU
Count the tokens of a text with OpenAI tokenizers (o200k for GPT-4o/4.1/5, cl100k for GPT-4/3.5) plus estimates for Claude, Llama and Gemini, with characters per token. Budget LLM calls and split contexts.
Exact token count for text using OpenAI tokenizers. Body: {text, encoding?} where encoding is cl100k_base or o200k_base (default). Returns tokens and char_count. Use to budget prompts and context windows.
Exact BPE token counts for OpenAI-family encodings (o200k_base for GPT-4o/4.1/5, cl100k_base for GPT-4/3.5/embeddings), single text or batches, with optional truncation to a token budget. Up to 512 KB per call.