Kurzanleitung, mit einem Strich

        curl https://api.brushllm.com/v1/chat/completions \
  -H "Authorization: Bearer $BRUSH_LLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [
      {"role": "user", "content": "Say hello in three languages."}
    ]
  }'
      

        from openai import OpenAI

client = OpenAI(
    api_key="brsh-...",              # your BrushLLM key
    base_url="https://api.brushllm.com/v1",
)

stream = client.chat.completions.create(
    model="glm-4.6",
    messages=[{"role": "user", "content": "Say hello in three languages."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")
      

        import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.BRUSH_LLM_API_KEY,
  baseURL: "https://api.brushllm.com/v1",
});

const stream = await client.chat.completions.create({
  model: "kimi-k2-0905",
  messages: [{ role: "user", content: "Say hello in three languages." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}
      

        package main

import (
	"context"
	"fmt"
	"os"

	openai "github.com/sashabaranov/go-openai"
)

func main() {
	cfg := openai.DefaultConfig(os.Getenv("BRUSH_LLM_API_KEY"))
	cfg.BaseURL = "https://api.brushllm.com/v1"
	client := openai.NewClientWithConfig(cfg)

	resp, err := client.CreateChatCompletion(context.Background(),
		openai.ChatCompletionRequest{
			Model:    "qwen3-max",
			Messages: []openai.ChatCompletionMessage{{Role: "user", Content: "Say hello in three languages."}},
		})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}