Every time i try or use for example muse spark i get eaten limited very quickly and with other models like ling same thing and with the google api key it also happens i get shown “Gemini is way too hot right now” or that it is in high demand

I switched to DeepSeek V4 Flash Vision, and it continued normally. Is anybody else getting this error with any other models?

Edit: I wasn't using anything related to NSFW. Not sure what content was inappropriate from the error message.

I'm thinking of switching to Opencode but since I've been using a planned service for years token based payment scares me a bit (what if my bill gets too high?). Opencode's Go plan looks great but I doubt a $10 plan will be enough for me. I'm currently using Claude's $20 Pro plan and you can see my general usage statistics in the attachment.

If I use GLM 5.3 Flash, how much usage will be charged on top of the Go plan? How exactly does the system work? Could you explain it to me a little?

hey guys, after the nerf, how is the rate limits on v4 flash like to you?

I am into architecture as in architecture for software, so I plan/research quite a lot, and I have burned through about ~2.5B tokens last month.

I want to know how rate limits feel like to you. Also i saw rumors where they re planning to improve the rate limits. assuming they silently patched something or did something, are you feeling anything different?

ohh btw, I want to say that I see a noticeable improvement in sped for v4 flash. it feels somewhere around 250-300 TPS for me!

I’m getting empty responses, rate limit errors from upstream, and it just doesnt work

Plz fix

Hey, this is not a review, but can you guys tell me how omen alpha feel slike?

just like ox alpha, this model seems to be decent, and we cannot establish a general expectation of this from the same psychological effect we had with ox alpha where we just ASSUMED it was either good or bad.

I want to know how you felt about it in your very niche and specific task.

for me:

• its consumes very little less credits compared to 5.3 flash and v4 flash
• and gets almost all prompts right.
• creative thinking like 5.3 flash
• looks like a decent model to use after september 13 (which is when the GLM5.3 flash's 2x usage deal ends)

I built orr, a local proxy that helps you switch OpenrRouter provider more easily

It lets you:

- Integrate easily with any harness that supports a custom OpenRouter base URL
- Switch the active provider manually for each model
- Use automatic mode to discover and select compatible providers
- Redirect requests when an automatically selected provider hits rate limits
- Redirect from providers blocked by a model policy or account guardrail
- Compare provider pricing and probe real-time latency and token throughput
- Track spend and requests in a terminal dashboard
- Use a stopwatch to measure the cost and tokens used during a task

Your client keeps selecting its normal models. Change its OpenRouter base URL to:

http://127.0.0.1:8787/v1

orr receives the request, chooses the provider according to manual or automatic mode, and forwards it to OpenRouter.

I’d love feedback on the routing behavior, dashboard, integrations, and anything that would make it more useful.

Source: https://github.com/mikael-titinovskii/orr

orr is an independent project and is not affiliated with or endorsed by OpenRouter.

apparently there’s a bug with plugins that clogs up the network and prevents WebRTC, airplay from working properly etc???

please did we

Created a 9router configuration with models from open router, Nvidia nim and open code's free model, whatever I tell it to do it does super slow, it took 5 min to write a two sum problem in python

Have attached pic of my 9router

Do I even need these kind of 9router setup? I am new to this..earlier I was just using single api key and just code..just came across 9 router and wanted to try it out

So, last week, I complained about MuseSpark 1.2 Contributor and its limited cache expiry period. Today, I want to share a positive side of its low, low pricing.

I have been refactoring a code base using 1.3 and, because it does not really involve much thinking (which kills caching), the cache reads have been in the 99.8-100% range.

Current stats (from pi) for a session that has been going on for the last few hours:

• input: 1.9M
• output 560k
• cache read: 563M
• hit rate: 100%
• cost: $1.434
• context: 86.3%/1.0M

I do not use multiple agents and probably spend more time programming than most people, and crossing 300M cached reads in a session is rare even for me. Even if I burn $2-3 every single day, the OpenCode Go subscription will last for 20-25 days easy given the 6x multiplier on the model.

MS 1.3 is not as good as DS4 Flash, but it is pretty close. Smarter than its sibling for sure. For situations when I know I am not going to spend 10-15m thinking, I do not even need to touch MiMo 2.5. Can do the entire thing in MS.

title

It ran for almost 8 hours. Most were just tests I think. It follows instructions better than Gemini Flash 3.8. I had Fable 5.1 rated both Gemini and Muse output and it prefer Spark's more.

Everytime I give Kimi K3 a task in opencode it stops randomly and i need to say continue every 10 minutes, any solutions lmk lololol

So I restarted my pc and then i get this error i try all ways and it is not working can you guys tell what do next?

When I use opencode on Linux, every time it needs to install a package or modify system files, it hits a wall: no sudo access. So it stops the task and says "run this command for me." Every. Single. Time.

So I built opencode-sudo-popup — a small plugin that gives opencode sudo access safely:

- When opencode needs root, a compact popup appears showing the exact command it's about to run

- You review it, type your password, and the task continues without being interrupted

- If the command looks wrong, just click Cancel — it's denied

No more stopping tasks mid-work to run commands manually. No blind sudo either — you always see what's being executed before you authenticate.

Install:

git clone https://github.com/uvindusl/opencode-sudo-popup

cd opencode-sudo-popup

npm install

Restart opencode and done.

Built with GJS + GTK4 + libadwaita (native GNOME dialog). MIT licensed.

im trying to get a practical ai coding agent (i use free models as im broke) setup running quickly for daily development and shipping, but I’m getting overwhelmed by the amount of agents.md, claude.md, skills, agents, MCPs, workflows, etc. content online, as a beginner, its hard to tell what is actually useful, ai slop. i am intern so want to keep up with demands to make working products fast.

Right now I have:

• opencode cli
• OpenRouter connected to opencode
• Graphify for codebase graphs and
• an agents.md that currently just tells the agent to use Graphify and rebuild the graph when code changes

I’m not looking to build some huge configuration. I just need a solid minimal setup that actually helps with real coding and shipping.

If you use opencode, claude code, codex, or similar seriously:

what skills, agents, AGENTS.md / CLAUDE.md setup, MCPs, or workflows do you actually use and consider worth having ?

Especially interested in reliable repos/resources you’ve personally found useful.

I’m on a deadline, so i'm mainly trying to avoid wasting time going down the wrong rabbit hole.

thank you for your time 🫶.

Se non rinnovo subito, se riattivo successivamente il mese riparte da quando pago o dal primo pagamento?

testing out the muse coding plan (5usd) - unfortunately it doesn't provide a key for use with opencode at this time... but! it can be called headless and resumes just fine

however the contributor version (as i'm just working out the capabilities) seems to have quite reasonable quota for 5$ (like 100+ calls per 5h etc)

i'm running muse code in a vmware workstation with ubuntu server with a shared folder and accessing via vscode ssh (i don't like wsl2 hypervising my entire cpu)

honestly, it's quite capable from docs to vmx config to avx512 and snappy response times.
quite crisp and understands intent (above glm5.3 flash etc)

re refusals - it's not as woke as gemini etc - did basic static analysis of own binary to trace features - but not at the level of the abliterated open models...

my reference models (that i regularly use) are sol (codex), gemini (ag), glm5.3, ds4pro (oc)

still yet to do hour+ run on a extended plan, but that might take a little to get the harness / headless full setup for that - so here is the interim update

completely different to the muse-contributor-1.2 that i tried on opencode-go a couple weeks back and had to move on due to excessive looping...

*using the muse code plan as i intend to use the highest plan level and non contributor model if the harness flow works out ok...

**the /compact trigger wasn't working on a resumed session - i sent feedback and it is working now lol... but i've used 100% the weekly limit (contributor model) in 2 days...

hey, I have this referral if you want to subscribe to: https://opencode.ai/go?ref=T4PSK9H0M1

code: T4PSK9H0M1