🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: https://t.co/smCwQZMeiq
It solves this with durable context, not bigger prompts.
Every transcript stays on disk, so the receiving agent can grep/semantically search past work instead of carrying massive context windows. Artifacts and decisions are shared separately, making agent handoffs essentially lossless.
@Sithira269 yep😬. I heard somwhere that mac needs extra memory space to efficiently manage swap memory that may be one of the reason of sluggish-ishness
kept noticing that i was asking agents to do the same kinds of things everyday.
made an automation, so now, every night, it goes through all my chat transcripts, looking for repeated works, and updates existing skills or make new ones.
sounds small, but i've been repeating myself a lot less lately.