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DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

esengine.github.io

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Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#311

Post by chillfox »

abustamam wrote: post #271
chillfox wrote: post #202

Earlier quoted context omitted.

Nice, I have got unlimited Claude Opus at work as well. I was really having a hard time deciding between the Ollama and OpenCode plans for personal use, I couldn't really understand how much usage I would get with the Ollama plan, so in the end I went with OpenCode and I have never hit the limits despite using it most evenings and weekends for several hours.

What models do you use in open code? I too have unlimited opus at work and I tried using my same workflow from work using Kimi 2.6 in open code and... It's just not it, even for relatively simple stuff. Maybe I should try DS4p?

I use DeepSeek v4 Pro, at max thinking. It's comparable to Sonnet 4.6 on high thinking.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#312

Post by sg1apm »

yalogin wrote: post #64

Can someone give me a eli5 version of what this is? It really sounds useful to Claude subscribers. Is this improving the cache hit and hence overall efficiency of coding workflows? Does it also let me host a local llm (deepseek)? What are model min requirements for this?

[flagged]

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#314

Post by radio879 »

krackers wrote: post #209
kiproping wrote: post #104

Earlier quoted context omitted.

This would be a better page to link to https://github.com/esengine/DeepSeek-Reasonix/blob/main/docs... They explain some of the the reasons why they have a better solution and why they are very opinionated >Automatic prefix caching activates only when the exact byte prefix of the previous request matches. Most agent loops reorder, rewrite, or inject fresh timestamps each turn — cache hit rate in practice: So they opt…

>Most agent loops reorder, rewrite, or inject fresh timestamps each turn That's really surprising, since it'd defeat the whole point of KV caching. I mean I buy it considering how sloppily coded the harnesses seem to be, but this like obvious low hanging fruit. I've also often wondered why LLMs aren't trained with a format of having a dedicated contextual system-instruction role at the _end_, which you could use to p…

i put together this, for myself so i can try to track what coding agents are doing, I add agents to it or topics (like caching, or sandboxing, file editing methods, etc) just to try and find anything novel or good, since I am/was considering making a new harness but using all the best things from any of those. I still cannot find my perfect coding agent, every one of them has some problem or just not totally what it could be.

What I do is just point agents to a folder, have it loop around a few times on a repo, fact checks at the end, but people sometimes think the software/harness around the AI model doesn't do much which is TOTALLY wrong, its probably AS important or more.. file editing methods available matter a lot, context compaction methods... matter, caching matters. I am still fantasizing about a "best of N" coding agent, that tries to take all the best stuff from all of them.

I have an idea of a coding agent that puts a lot more effort into using more than one model at the same time. Sooo much can be done with that idea.. and no one is apparently doing it yet that I can find. I just am not sure I want to put that much time into a new coding agent project. I wonder how autonomous it could be - have weekly or daily scans of the current coding agent landscape and automatic scanning of coding agent/ai code related subreddits/hacker news, analyze it to figure out what the current problems are, complaints about existing coding agents, desires --> prioritized list of possible features/fixes ---> ai agents code and make releases

https://agents.buttonscli.com

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#315

Post by fransje26 »

gizajob wrote: post #238
port11 wrote: post #155

Earlier quoted context omitted.

A lot of LLM-driven design now looks like this. I don’t understand how people don’t find ugly the pairings with an heavily italicised serif. You also can’t read much of the page on mobile, because the code example keeps shifting the content around. Now, that is overly critical, I’m sure their heart is in the right place. But a simpler website would do :)

Yeah such amazing tech used to produce a tediously unreadable website with great flair.

Go full circle, and use the amazing tech to make a summary of the amazing tech's website written by the amazing tech to praise the amazing tech.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#318

Post by Alifatisk »

Alifatisk wrote: post #39
passive wrote: post #15

Earlier quoted context omitted.

I've gone through ~600m tokens in Xiaomi Mimo though Claude, and it's been the most effective use of an agent I've had yet. It's very capable, but generally not ambitious, picking simple but effective solutions to most problems I give it. Going to write something longer about the experience when I get to a billion tokens.

I do have my eyes on the coding plan, which is quite generous. https://mimo.mi.com

Update, they increased the Lite plan from 60M credits/month to 4,1B credits/month. It's more than generous now, its a steal.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#319

Post by gandreani »

passive wrote: post #55
gandreani wrote: post #16

Earlier quoted context omitted.

Are you using Mimo 2.5 pro?

Yes. I tried a couple of weeks with non-Pro, and it was pretty good, but I had too many spare tokens, so I switched back to Pro. :)

I use it through my opencode go subscription and it's exactly how you described. Very pragmatic and not too ambitious. It's similar to Kimi 2.5/6 in that regard.

I like it!

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#320

Post by gandreani »

fouric wrote: post #67
stavros wrote: post #20

Earlier quoted context omitted.

For me, it's by far Deepseek. It's many times cheaper than competitors, and about as good as Sonnet 4.6.

I'd generally agree about Deepseek being as good as Sonnet - but I have extreme trouble with prompt compliance with V4 Pro in a way that I've never had with Sonnet. I'll tell it "find the bug, but don't fix it" or "please use this tool I just developed" and it'll ignore me a high fraction of the time. It's bad enough that I'm working on guardrails at the harness level because prompting appears to be useless. Do you h…

I also have this problem!

It's the only model where an explicit instruction at the end of my message is sometimes ignored. This doesn't happen with any of the gpts, kimis, glms, qwen, etc. Just a deepseek problem.

Hope it improves!

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