ChatGPT-5.4 Nano 中转服务 SDK - 每天免费 0.3K tokens,国内开箱即用
Project description
nbChatGPT 🚀
国内一键安装的 ChatGPT-5.4 Nano 中转服务 SDK
每天免费 0.3K tokens,零配置开箱即用!
✨ 特性
- ✅ 零配置 - 无需 API Key,无需代理设置,开箱即用
- ✅ 免费额度 - 每天 0.3K tokens 免费使用
- ✅ 流式输出 - 支持逐字输出,实时响应
- ✅ 对话管理 - Conversation 类自动维护上下文
- ✅ 命令行工具 - 支持终端直接使用
- ✅ 国内可用 - 专为国内网络环境优化
📦 安装
pip install nbchatgpt
🚀 快速开始
基础对话
python
from nbchatgpt import Client
client = Client()
response = client.chat("你好")
print(response.content)
流式输出
python
from nbchatgpt import Client
client = Client()
for chunk in client.chat_stream("讲个笑话"):
print(chunk.content, end="")
多轮对话
python
from nbchatgpt import Client
client = Client()
messages = [
{"role": "system", "content": "你是历史专家"},
{"role": "user", "content": "唐朝有哪些著名诗人?"}
]
response1 = client.chat_with_history(messages)
print(response1.content)
messages.append({"role": "assistant", "content": response1.content})
messages.append({"role": "user", "content": "李白呢?"})
response2 = client.chat_with_history(messages)
print(response2.content)
使用 Conversation 管理器
python
from nbchatgpt import Conversation
conv = Conversation(system_prompt="你是诗歌创作助手")
conv.chat("写一首关于春天的诗")
conv.chat("再写一首,风格悲伤一点") # 自动携带历史
print(conv.get_history())
查询今日使用情况
python
from nbchatgpt import Client
client = Client()
usage = client.get_usage()
print(f"今日已用: {usage['used_tokens']} tokens")
print(f"今日剩余: {usage['remaining_tokens']} tokens")
💻 命令行使用
安装后可直接在终端使用:
bash
# 单轮对话
nbchatgpt chat "你好"
# 流式输出
nbchatgpt chat "写一首诗" --stream
# 带系统提示词
nbchatgpt chat "你是谁" --system "你是历史专家"
# JSON 格式输出
nbchatgpt chat "你好" --json
# 查询使用情况
nbchatgpt usage
# 交互式对话
nbchatgpt conv
nbchatgpt conv --system "你是专家" --stream
🔧 自定义配置
python
from nbchatgpt import Client
# 自定义中转地址和用户 ID
client = Client(
base_url="http://your-proxy.com:8000",
user_id="your-custom-user-id",
api_key="your-api-key",
timeout=30
)
📚 API 文档
Client
方法 说明
chat(prompt, ...) 单轮对话
chat_with_history(messages, ...) 多轮对话
chat_stream(prompt, ...) 流式对话
chat_stream_with_history(messages, ...) 流式多轮对话
get_usage() 查询今日使用情况
Conversation
方法 说明
chat(prompt, ...) 对话(自动携带历史)
chat_stream(prompt, ...) 流式对话
clear() 清空历史
get_history() 获取历史记录
count_messages() 获取消息条数
⚠️ 错误处理
python
from nbchatgpt import Client
from nbchatgpt.exceptions import QuotaExceededError, NetworkError
client = Client()
try:
response = client.chat("你好")
except QuotaExceededError as e:
print(f"额度已用完: {e}")
except NetworkError as e:
print(f"网络错误: {e}")
📝 注意事项
每人每天免费 0.3K tokens(约 300 tokens)
额度按自然日重置(北京时间 00:00)
不支持自定义模型名称,仅支持 gpt-5.4-nano
🤝 贡献
欢迎提交 Issue 和 Pull Request!
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