拒绝任何模型偷换与截断。
为拒绝妥协的工程师而生。

# 设置 Anthropic 终端官方环境变量 (可写入 ~/.zshrc 或 ~/.bashrc)
export ANTHROPIC_BASE_URL="https://api.truesource.ai"
export ANTHROPIC_API_KEY="sk-truesource-xxxxxxxxxxxxxxxxxxxx"

# 启动 Claude Code 原生终端智能体 (默认使用 Claude 4 Sonnet)
claude

接口地址 (Base URL): https://api.truesource.ai
API Key:            sk-truesource-xxxxxxxxxxxxxxxxxxxx
自定义模型:          +claude-4-sonnet,+gpt-5-omni,+o3-high,+deepseek-r2,+gemini-2.5-pro,+claude-3-7-sonnet

from openai import OpenAI

client = OpenAI(
    api_key="sk-truesource-xxxxxxxxxxxxxxxxxxxx",
    base_url="https://api.truesource.ai/v1"
)

response = client.chat.completions.create(
    model="claude-4-sonnet",
    messages=[
        {"role": "system", "content": "你是一位资深分布式系统架构专家。"},
        {"role": "user", "content": "请分析在反向代理中为什么必须关闭 proxy_buffering 才能实现实时流式？"}
    ],
    stream=True
)

for chunk in response:
    content = chunk.choices[0].delta.content or ""
    print(content, end="", flush=True)

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "sk-truesource-xxxxxxxxxxxxxxxxxxxx",
  baseURL: "https://api.truesource.ai/v1",
});

async function main() {
  const stream = await openai.chat.completions.create({
    model: "claude-4-sonnet",
    messages: [{ role: "user", content: "请用 TypeScript 实现一个支持重试的指数退避网络请求函数。" }],
    stream: true,
  });

  for await (const chunk of stream) {
    process.stdout.write(chunk.choices[0]?.delta?.content || "");
  }
}

main();