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Edgee compresses prompts before they reach LLM providers and reduces token costs by up to 50%.
Same code, fewer tokens, lower bills.
EdgeeThe AI Gateway that TL;DR tokens
Khaled Maâmraleft a comment
Hi everyone 👋 Super excited to see the discussion around this. We’ve been digging deep into hard vs soft compression, token scoring, and meta-tokenization, especially around what actually survives compression in production settings. One major challenge is that it’s not just about reducing tokens, but about retaining evaluation scores, alignment, and tool-calling reliability after compression....
Token Compression for LLMs: How to reduce context size without losing accuracy
Sacha MORARDJoin the discussion