Olaf Geibig olafgeibig

Z.ai subscription with opencode

Now Z.ai has an official solution to use the package. See below.

Create a custom provider

First we need to create a custom provider for the Z.ai anthropic API. Follow the instructions for adding a custom provider to opencode.

Name it zai-anthropic
Enter your API-key

Configure the custom-provider

Edit opencode.json and add this:

Upgrading to 0.3.0

Before be sure you properly upgraded to containers 0.3.0. Clean the old installation with sudo uninstall-container.sh -k and then install the new version. Then start containers service container system start. Check if it downloaded the latest vminit image. container i ls If not then try sudo uninstall-container.sh -d that deletes everything including the user data.

Configure the Networking

Setting the conainer subnet seems to be only necessary for macOS 15. Lookup the subnet of the bridge network with ifconfig. Look for the bridge, e.g.

bridge100: flags=8a63<UP,BROADCAST,SMART,RUNNING,ALLMULTI,SIMPLEX,MULTICAST> mtu 1500
        options=63<RXCSUM,TXCSUM,TSO4,TSO6>
        ether be:d0:74:63:61:64
        inet 192.168.206.1 netmask 0xffffff00 broadcast 192.168.206.255

	#!/bin/bash
	export WANDB_API_KEY=<your key>
	export WANDB_PROJECT=<org/project>

	litellm --port 4000 --debug --config cc-proxy.yaml

	```
	uv run --with mlx-vlm mlx_vlm.generate --model gg-hf-gm/gemma-3n-E4B-it --max-tokens 100 --temperature 0.7 --prompt "Transcribe the following speech segment in English:"
	× Failed to build `llvmlite==0.36.0`
	├─▶ The build backend returned an error
	╰─▶ Call to `setuptools.build_meta:__legacy__.build_wheel` failed (exit status: 1)

	[stderr]
	Traceback (most recent call last):
	File "<string>", line 14, in <module>
	File "/Users/olaf/.cache/uv/builds-v0/.tmpPmfozJ/lib/python3.12/site-packages/setuptools/build_meta.py", line 331, in

	from langchain.tools import Tool
	from langchain_core.language_models.chat_models import BaseChatModel
	from langchain_core.messages import HumanMessage, SystemMessage

	class ReviewToolFactory():

	@staticmethod
	def get_review_tool(llm: BaseChatModel) -> Tool:
	"""
	Returns a Tool object that can be used for reviewing a result from working on a task and giving constructive

	FROM ./nous-hermes-2-solar-10.7b.Q5_K_M.gguf
	PARAMETER num_ctx 4096
	TEMPLATE """<\|im_start\|>system
	{{ .System }}<\|im_end\|>
	<\|im_start\|>user
	{{ .Prompt }}<\|im_end\|>
	<\|im_start\|>assistant
	"""
	PARAMETER stop "<\|im_start\|>"
	PARAMETER stop "<\|im_end\|>"

	Java:
	String getDescription() {
	StringBuilder stringBuilder = new StringBuilder();

	if(titel != null && titel.length() > 0){
	stringBuilder.append(titel).append(',')
	}

	if(vorname != null && vorname.length() > 0){
	stringBuilder.append(vorname).append(',')