beswarm

Name	beswarm JSON
Version	0.2.21 JSON
	download
home_page	None
Summary	MAS
upload_time	2025-07-13 13:52:36
maintainer	None
docs_url	None
author	None
requires_python	>=3.11
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # beswarm

beswarm: be swarm

beswarm is a tool for creating a swarm of agents to complete a task.

## 任务

```
DiT-Air 架构与MMDiT和PixArt的区别是什么？详细分析三个模型的架构，并给出代码实现。
```

```
arXiv:2502.14831v2 和 arXiv:2503.10618v2 的 渐进式 VAE 训练方法有一定的相似性，请详细分析这两种方法的异同，底层原理的异同。
```

```
论文地址：'/Users/yanyuming/Library/Mobile Documents/iCloud~QReader~MarginStudy~easy/Documents/论文/EQ-VAE Equivariance Regularized Latent Space for Improved Generative Image Modeling.pdf'
仓库地址：https://github.com/zelaki/eqvae
```

```
论文地址：'/Users/yanyuming/Library/Mobile Documents/iCloud~QReader~MarginStudy~easy/Documents/论文/Vector Quantized Diffusion Model for Text-to-Image Synthesis.pdf'

查看代码库，我需要将论文的公式，代码，理论，实验结果，总结，形成一个文档。请进行彻底的分析。

找到每一个数学概念对应的代码实现。整理成文档保存到本地。
```

```bash
docker buildx build --platform linux/amd64,linux/arm64 -t yym68686/beswarm:latest --push .
docker pull yym68686/beswarm
```

```bash
cd ~/Downloads/GitHub/beswarm && docker run --rm \
--env-file .env \
-v ./work:/app/work beswarm \
--goal "分析这个仓库 https://github.com/cloneofsimo/minRF"
```

测试 docker 是否可以用 GPU：

```bash
docker run --gpus all -it --rm --entrypoint nvidia-smi yym68686/beswarm

docker run -it --rm --entrypoint cat yym68686/beswarm /app/beswarm/aient/src/aient/models/chatgpt.py
```

beswarm docker debug 命令

```bash
cd /Users/yanyuming/Downloads/GitHub/beswarm
docker run --rm -it \
--network="host" \
--env-file .env \
-v ./work/test:/app/work yym68686/beswarm \
--goal '帮我写一个简单的python脚本打印hello world' /bin/bash
```

服务器安装

```bash
pip install pipx
pipx ensurepath
source ~/.bashrc
pipx install nvitop
pip install beswarm -i https://pypi.tuna.tsinghua.edu.cn/simple

# 升级 从海外官方 pypi 升级
pip install --upgrade beswarm -i https://pypi.org/simple
pip install --upgrade beswarm -i https://pypi.tuna.tsinghua.edu.cn/simple
```

main.py

```python
import os
import asyncio
import nest_asyncio
nest_asyncio.apply()

from beswarm.tools import (
    worker,
    get_code_repo_map,
    search_arxiv,
    read_file,
    list_directory,
    excute_command,
    write_to_file,
    download_read_arxiv_pdf,
)

os.environ['API_KEY'] = ''
os.environ['BASE_URL'] = 'https://api.xxx.xyz/v1/chat/completions'
os.environ['MODEL'] = 'gemini-2.5-pro'

# 设定任务目标
goal = """

"""
work_dir = '/work_dir'

tools = [read_file, list_directory, write_to_file, excute_command, search_arxiv, download_read_arxiv_pdf, get_code_repo_map]
asyncio.run(worker(goal, tools, work_dir))
```

            

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    "description": "# beswarm\n\nbeswarm: be swarm\n\nbeswarm is a tool for creating a swarm of agents to complete a task.\n\n## \u4efb\u52a1\n\n```\nDiT-Air \u67b6\u6784\u4e0eMMDiT\u548cPixArt\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f\u8be6\u7ec6\u5206\u6790\u4e09\u4e2a\u6a21\u578b\u7684\u67b6\u6784\uff0c\u5e76\u7ed9\u51fa\u4ee3\u7801\u5b9e\u73b0\u3002\n```\n\n```\narXiv:2502.14831v2 \u548c arXiv:2503.10618v2 \u7684 \u6e10\u8fdb\u5f0f VAE \u8bad\u7ec3\u65b9\u6cd5\u6709\u4e00\u5b9a\u7684\u76f8\u4f3c\u6027\uff0c\u8bf7\u8be6\u7ec6\u5206\u6790\u8fd9\u4e24\u79cd\u65b9\u6cd5\u7684\u5f02\u540c\uff0c\u5e95\u5c42\u539f\u7406\u7684\u5f02\u540c\u3002\n```\n\n```\n\u8bba\u6587\u5730\u5740\uff1a'/Users/yanyuming/Library/Mobile Documents/iCloud~QReader~MarginStudy~easy/Documents/\u8bba\u6587/EQ-VAE Equivariance Regularized Latent Space for Improved Generative Image Modeling.pdf'\n\u4ed3\u5e93\u5730\u5740\uff1ahttps://github.com/zelaki/eqvae\n```\n\n```\n\u8bba\u6587\u5730\u5740\uff1a'/Users/yanyuming/Library/Mobile Documents/iCloud~QReader~MarginStudy~easy/Documents/\u8bba\u6587/Vector Quantized Diffusion Model for Text-to-Image Synthesis.pdf'\n\n\u67e5\u770b\u4ee3\u7801\u5e93\uff0c\u6211\u9700\u8981\u5c06\u8bba\u6587\u7684\u516c\u5f0f\uff0c\u4ee3\u7801\uff0c\u7406\u8bba\uff0c\u5b9e\u9a8c\u7ed3\u679c\uff0c\u603b\u7ed3\uff0c\u5f62\u6210\u4e00\u4e2a\u6587\u6863\u3002\u8bf7\u8fdb\u884c\u5f7b\u5e95\u7684\u5206\u6790\u3002\n\n\u627e\u5230\u6bcf\u4e00\u4e2a\u6570\u5b66\u6982\u5ff5\u5bf9\u5e94\u7684\u4ee3\u7801\u5b9e\u73b0\u3002\u6574\u7406\u6210\u6587\u6863\u4fdd\u5b58\u5230\u672c\u5730\u3002\n```\n\n```bash\ndocker buildx build --platform linux/amd64,linux/arm64 -t yym68686/beswarm:latest --push .\ndocker pull yym68686/beswarm\n```\n\n```bash\ncd ~/Downloads/GitHub/beswarm && docker run --rm \\\n--env-file .env \\\n-v ./work:/app/work beswarm \\\n--goal \"\u5206\u6790\u8fd9\u4e2a\u4ed3\u5e93 https://github.com/cloneofsimo/minRF\"\n```\n\n\u6d4b\u8bd5 docker \u662f\u5426\u53ef\u4ee5\u7528 GPU\uff1a\n\n```bash\ndocker run --gpus all -it --rm --entrypoint nvidia-smi yym68686/beswarm\n\ndocker run -it --rm --entrypoint cat yym68686/beswarm /app/beswarm/aient/src/aient/models/chatgpt.py\n```\n\nbeswarm docker debug \u547d\u4ee4\n\n```bash\ncd /Users/yanyuming/Downloads/GitHub/beswarm\ndocker run --rm -it \\\n--network=\"host\" \\\n--env-file .env \\\n-v ./work/test:/app/work yym68686/beswarm \\\n--goal '\u5e2e\u6211\u5199\u4e00\u4e2a\u7b80\u5355\u7684python\u811a\u672c\u6253\u5370hello world' /bin/bash\n```\n\n\u670d\u52a1\u5668\u5b89\u88c5\n\n```bash\npip install pipx\npipx ensurepath\nsource ~/.bashrc\npipx install nvitop\npip install beswarm -i https://pypi.tuna.tsinghua.edu.cn/simple\n\n# \u5347\u7ea7 \u4ece\u6d77\u5916\u5b98\u65b9 pypi \u5347\u7ea7\npip install --upgrade beswarm -i https://pypi.org/simple\npip install --upgrade beswarm -i https://pypi.tuna.tsinghua.edu.cn/simple\n```\n\nmain.py\n\n```python\nimport os\nimport asyncio\nimport nest_asyncio\nnest_asyncio.apply()\n\nfrom beswarm.tools import (\n    worker,\n    get_code_repo_map,\n    search_arxiv,\n    read_file,\n    list_directory,\n    excute_command,\n    write_to_file,\n    download_read_arxiv_pdf,\n)\n\nos.environ['API_KEY'] = ''\nos.environ['BASE_URL'] = 'https://api.xxx.xyz/v1/chat/completions'\nos.environ['MODEL'] = 'gemini-2.5-pro'\n\n# \u8bbe\u5b9a\u4efb\u52a1\u76ee\u6807\ngoal = \"\"\"\n\n\"\"\"\nwork_dir = '/work_dir'\n\ntools = [read_file, list_directory, write_to_file, excute_command, search_arxiv, download_read_arxiv_pdf, get_code_repo_map]\nasyncio.run(worker(goal, tools, work_dir))\n```\n",
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