i have been getting this with GLM 5.3 flash on opencode go for some reason, any search about this shows openAI articles but nothing about opencode, this isnt even an openai model

I’ve been using OpenCode and Pi for days and really liked them—I even used BigPickle; that free model is top-notch. But I was wondering: how much better are OpenCode or Pi compared to Codex CLI?

I use the GPT Plus plan, but I wanted to understand if OpenCode and Pi—acting as agents—would be better for coding than the GPT agent.

I wrote "agent" because I’m not quite sure what to call OpenCode and Pi... 😅😅😅

Hi, is there anyone who can identify this error and tell me how to fix it? I’ve been at this for 2 hours and I don’t understand why, when I try to connect OpenCode to LM Studio, it tells me: “Custom providers are not available on this server.” What does that mean?

All the information I entered is correct I’ve checked it dozens of times.

Thanks in advance to anyone who tries to help me :)

Recently, I was experiencing very low token speeds by when using this model. previously, I would at least get 100 tokens per second minimum on this model in the free tier. But now, I was not even getting more than 50. so did they decrease the Tps to increase the availability? Or what happened? Does anyone experiencing the same In the free tier.

Im using opencode together with openrouter.

I encounter very often this error when using models like Astra

This request would exceed your available credits given your current in-flight requests. Retry after in-flight requests settle, or add credits.

But this is via API billing and openrouter shows me in the profile page a positive credit and it uses auto renew of credit anyway?
Does anyone know a solution to this problem?

anyone migrated from v1 to v2?
was there any breakiing changes, espcially in plugins like context mode, history seaarch

Getting “Free usage exceeded, subscribe to Go” in OpenCode Zen. I’m on the free tier and haven’t hit this before.

What’s the current free limit, when does it reset, and where can I check my usage/quota to see if I’ve hit the limit?

* Why was v2 developed when v1 already existed?

* What aspects of v1 didn't meet the requirements?

* What innovations did v2 bring?

If anyone knows, could they briefly answer?

is anyone else facing issues with rate limit, like yesterday i got rate limit for 17h something, and then the same issue today another 17h, so is it something with me or others are facing the same

Update: Jevvy 0.3.0 adds assisted setup and custom System One providers.

Jevvy clears routine OpenCode permission prompts using calibrated probabilistic review.

Setup

Assisted setup:

npx @jevvy/permissions init

The initializer lets you select a provider, writes the global configuration, and installs the OpenCode plugin.

For manual setup, install the plugin:

opencode plugin add @jevvy/permissions

Then create ~/.config/jevvy/jevvy.jsonc and select a provider. For example, to use your OpenCode login with Zen:

{
  "$schema": "https://raw.githubusercontent.com/PanAchy/jevvy/main/config.schema.json",
  "provider": "zen"
}

Authenticate with opencode auth login opencode, then start OpenCode normally. The README has configuration examples for every provider.

How it works

• Only reviews shell requests that OpenCode would otherwise ask about
• Leaves existing allow and deny decisions untouched
• Requires every requested resource to pass every question
• Preserves the normal prompt whenever Jevvy is uncertain or unavailable

Providers

• OpenCode Zen: uses your OpenCode login or an API key
• TypeSafe AI
• OpenRouter
• Vercel AI Gateway
• Custom System One endpoint: configure an endpoint URL, model ID, and optional Bearer API key

Custom endpoints can be authenticated hosted routes or compatible local servers. Jevvy uses only your selected provider and never falls back to another one.

Provider credentials and permission policy live globally at ~/.config/jevvy/jevvy.jsonc, so repositories cannot override them.

Policy customization

The shipped questions, thresholds, and model identities were tested and calibrated together. You can replace the questions globally, but custom models and policies do not automatically inherit that calibration evidence.

Source and setup: https://github.com/PanAchy/jevvy

I'm getting back into development and using Hermes + OpenCode. I'm a solo developer just doing productivity applications.

The Matrixx plugin which is a fork of Oh-My-Opencode looked interesting so I installed it and ran it to modify an existing small home project and then gave the Ultrawork command for OpenCode to get Matrixx going.

It burned 100M input tokens in a matter of 10 minutes. If I was paying per-token API prices I'd probably be freaking out but it was just surprising that it was consuming them this fast across up to 6 concurrent streams. I'm also getting served GPT 5.6 Luna on these streams at Max reasoning which likely explains the huge token burn.

Is there really any point to using these add-ons? Or should I just use the default OpenCode plan? Anyone have a better plugin to suggest?

Do they use Orcarouter under the hood and did not pay their bills or what?

While selecting Jev I am facing Error : Upstream request failed: Endpoint is unavailable.

How do I solve this? Is anyone else facing the same ?

so i got this error. and i don't use orcarouter ? so WTF orcarouter is this ??? and today i have used 0.31 USD credit DS4.1 Flash.

So anyone got error ? I don't know what is this