ChatGPT-5.4 Nano 中转服务 SDK - 每天免费 1.0K 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!
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nbchatgpt-0.1.12.tar.gz
(41.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nbchatgpt-0.1.12.tar.gz.
File metadata
- Download URL: nbchatgpt-0.1.12.tar.gz
- Upload date:
- Size: 41.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
244896327d9f4cce63ab92da2573cab0461d2912cfaaaa7df02bdbcf90b40d29
|
|
| MD5 |
4d780a8636cadbcbee8c4f2aa7bc9744
|
|
| BLAKE2b-256 |
ce0ac55c4d5e59f7181e81400bc72f63c307417b3c293dd93cea50cf3ee5425a
|
File details
Details for the file nbchatgpt-0.1.12-py3-none-any.whl.
File metadata
- Download URL: nbchatgpt-0.1.12-py3-none-any.whl
- Upload date:
- Size: 40.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c5aa5cc7cd39e61b58e1e56ede09d54309f812b5ff6a8e4d5e694c4034d29f41
|
|
| MD5 |
cdf986bc0305cb5d57b2b1763b61fdef
|
|
| BLAKE2b-256 |
f3ab63eda576acecefac7f50bc60e3f40e1911054e4aaeae4bbad60c3b19715b
|