semvec/pypi-packages huggingface dataset:
agentify-sh 0.1.0
A tool for uploading Docker images to Backblaze B2
Requires Python: >=3.8

# agentify-sh

A Python package for uploading Docker images to Backblaze B2 storage.

## Installation

```bash
pip install agentify-sh
```

## Usage

1. Create a configuration JSON file (e.g., `agentify.json`):

```json
{
  "username": "your_username",
  "password": "your_password",
  "image_id": "your_image_id", 
  "version": "your_version"
}

2. Use the package in your Python code:

``` python
from agentify_sh.main import upload_image
success = upload_image("path/to/config.json")
if success:
    print("Image uploaded successfully!")
else:
    print("Upload failed")
```


## Configuration

The configuration file requires the following fields:
- `username`: Your Backblaze B2 account username/ID
- `password`: Your Backblaze B2 application key
- `bucket_name`: The name of your B2 bucket (optional, defaults to 'default-bucket')
- `image_id`: The Docker image ID to upload
langchain-deepseek-extension 0.0.8
This project supports the calculation of token counts.
Requires Python: >=3.8

# langchain-deepseek-extension

## Introduction
    This project supports the calculation of token counts.

    ref: https://api-docs.deepseek.com/zh-cn/quick_start/token_usage

## Examples

```python
from langchain_deepseek_extension.extension import ChatDeepSeekPlus

model = ChatDeepSeekPlus(model="deepseek-chat")

messages = [
    SystemMessage(content="you're a good assistant"),
    HumanMessage(content="hi! I'm bob"),
    AIMessage(content="hi!")
]
num = model.get_num_tokens_from_messages(messages)

```