semvec/pypi-packages huggingface dataset:
akm 1.3.5
Gmail-Temp API By: t.me/goldenxpris.
Requires Python: >=3.6

# akm - Gmail Temporary API Client

This Python library allows you to generate temporary Gmail addresses and check for new messages .

## Installation

To install this package, simply run :
```bash
pip install akm```

## Dev
Tele : t.me/goldenxpris
sbcli-25 25.3.0rc0
CLI for managing SimplyBlock cluster


# Simply Block
[![Docker Image Build](https://github.com/simplyblock-io/sbcli/actions/workflows/docker-image.yml/badge.svg)](https://github.com/simplyblock-io/sbcli/actions/workflows/docker-image.yml)

[![Python Unit Testing](https://github.com/simplyblock-io/sbcli/actions/workflows/python-testing.yml/badge.svg)](https://github.com/simplyblock-io/sbcli/actions/workflows/python-testing.yml)


## Install
Add the package repo from AWS CodeArtifact using [awscli](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html)

```bash
aws codeartifact login --tool pip --repository sbcli --domain simplyblock --domain-owner 565979732541 --region eu-west-1
```
Install package
```bash
pip install --extra-index-url https://pypi.org/simple sbcli-dev
```

# Components

## Simply Block Core
Contains core logic and controllers for the simplyblock cluster

## Simply Block CLI
Please see this document
[README.md](../main/simplyblock_cli/README.md)


## Simply Block Web API
Please see this document
[README.md](../main/simplyblock_web/README.md)



### local development

FoundationDB requires a client library (libfdb_c.dylib) for the Python bindings to interact with the database.
Depending on the OS architecture, please install the appropriate version from the official github repo

```
wget https://github.com/apple/foundationdb/releases/download/7.3.3/FoundationDB-7.3.3_arm64.pkg
```

setup the code on a management node and the webApp code can be developed by building the `docker-compose-dev.yml` file.


```
sudo docker compose -f docker-compose-dev.yml up --build -d
```
liteai 0.2.2
lite ai client
Requires Python: >=3.10

# LiteAI

提供比[LiteLLM](https://github.com/BerriAI/litellm)更简洁、范围更广的API，并支持更多的AI模型。

- 增加国内厂商的sdk接入
- 增加embedding/agent等接口
- 简化模型的输入输出信息，方便下游处理

| 厂商                                                                                     | chat | 流式chat | Image输入 | Image输出 | Embedding | ToolUse | TTS | ASR |
| ---------------------------------------------------------------------------------------- | ---- | -------- | --------- | --------- | --------- | ------- | --- | --- |
| [ZhipuAI](https://open.bigmodel.cn/dev/api#glm-4)                                           | ✅   | ✅       | ✅        |           | ✅        | ✅      |     |     |
| [Qwen](https://help.aliyun.com/zh/dashscope/qwen-api-details)                               | ✅   | ✅       | ✅        |           |           |         |     |     |
| [OpenAI](https://platform.openai.com/docs/guides/chat-completions)                          | ✅   | ✅       |           |           |           |         |     |     |
| [Doubao](https://www.volcengine.com/docs/82379/1263482)                                     | ✅   | ✅       |           |           |           |         |     |     |
| [MiniMax](https://platform.minimaxi.com/document/Announcement?key=66701c5e1d57f38758d58180) | ✅   | ✅       |           |           |           |         | ✅  |     |
| [Xunfei](https://www.xfyun.cn/doc/asr/voicedictation/API.html)                              |      |          |           |           |           |         |     | ✅  |
| [Ollama](https://ollama.com/)                                                               | ✅   | ✅       |           |           |           |         |     |     |
| [SiliconFlow](https://docs.siliconflow.cn/reference)                                                               | ✅   | ✅       |           |           |           |         |     |     |
| [DeepSeek](https://api-docs.deepseek.com/zh-cn/)                                                               | ✅   | ✅       |           |           |           |         |     |     |
| [Coze](https://coze.com/docs/api/introduction)                                                               | ✅   | ✅       |           |           |           |         |     |     |


## Install
```bash
pip install -U liteai
```

## 批量请求模型
```bash
liteai batch \
-d liteai/data/batch_test.jsonl \
-m glm-4v \
-w 2 \
--input_column text \
--image_column image \
--image_dir liteai/data \
--system "用英文回答" \
--output_path output/bath_test_glm4v.xlsx
```
具体参数定义使用
```bash liteai batch --help```查看