[Infographics] How Do You Post-Process Streamed LLM Tokens Without Adding Latency?
Insights from AI Builders in MLOps.community
⚡️ Can you stream LLM tokens and keep the text squeaky-clean?
Sam’s dilemma: “While tokens flow, can I auto-format (think Markdown links) without adding lag?”
Community hacks
🔹 Critic-agent pass (Demetrios) – 2nd LLM cleans output: high polish, higher latency + cost.
🔹 Buffer-patch Python (Misha) – capture chunks, retro-fix URLs, release: fast if you tolerate light backtracking.
🔹 Chunk-stream method (Sam) – buffer to full sentences, transform, stream: lower perceived latency, zero guardrail drama.
TL;DR
🚀 Speed doesn’t have to sacrifice polish.
• Buffer-then-flush ➜ deterministic cleanup.
• Stream-and-patch ➜ max speed, occasional rewrites.
Pick the pattern your users can live with.
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