### Use SimpleManus as a Documentation Assistant

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Examples of prompts to guide SimpleManus in generating various types of documentation, including technical guides, API docs, and user manuals.

```Text
>>> 撰写技术文档，包括架构说明和使用指南
>>> 生成API文档和示例代码
>>> 创建用户手册和FAQ
```

--------------------------------

### Start SimpleManus Web Server

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Commands to launch the SimpleManus web server, including options for specifying host, port, and enabling development mode with auto-reload.

```Bash
# 基本启动（默认 127.0.0.1:8000）
python start_web_server.py

# 指定主机和端口
python start_web_server.py --host 0.0.0.0 --port 8080

# 开发模式（文件修改后自动重载）
python start_web_server.py --reload
```

--------------------------------

### Use SimpleManus as a Code Development Assistant

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Examples of prompts to guide SimpleManus in software development tasks, such as designing API structures, generating code, and writing tests.

```Text
>>> 设计一个REST API的项目结构
>>> 生成基础代码框架和配置文件
>>> 编写单元测试和文档
```

--------------------------------

### Use SimpleManus as a Data Analysis Assistant

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Examples of prompts to guide SimpleManus in performing data analysis tasks, including trend identification, visualization, and predictive modeling.

```Text
>>> 分析这个CSV文件，找出销售趋势和异常值
>>> 生成可视化图表并保存报告
>>> 建立预测模型评估下季度表现
```

--------------------------------

### Call SimpleManus API with OpenAI Python Client

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

An example showing how to use the official OpenAI Python client library to interact with the SimpleManus API, leveraging its OpenAI compatibility.

```Python
from openai import OpenAI

# 使用OpenAI官方客户端库
client = OpenAI(
    api_key="not-needed",  # SimpleManus不需要API密钥
    base_url="http://localhost:8000/v1"
)

response = client.chat.completions.create(
    model="simple-agent-v1",
    messages=[
        {"role": "user", "content": "执行系统维护任务"}
    ]
)

print(response.choices[0].message.content)
```

--------------------------------

### Call SimpleManus API with cURL

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Examples demonstrating how to make non-streaming and streaming chat completion requests to the SimpleManus API using cURL commands.

```Bash
# 非流式请求
curl -X POST "http://localhost:8000/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "simple-agent-v1",
    "messages": [
      {"role": "user", "content": "分析项目目录结构并生成报告"}
    ],
    "stream": false
  }'

# 流式请求
curl -X POST "http://localhost:8000/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "simple-agent-v1", 
    "messages": [
      {"role": "user", "content": "创建一个Python项目的基础结构"}
    ],
    "stream": true
  }'
```

--------------------------------

### Call SimpleManus API with Python Requests

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

A Python example demonstrating how to interact with the SimpleManus chat completion API using the `requests` library for basic non-streaming calls.

```Python
import requests

# 基础客户端
def chat_with_agent(message: str):
    response = requests.post(
        "http://localhost:8000/v1/chat/completions",
        json={
            "model": "simple-agent-v1",
            "messages": [{"role": "user", "content": message}],
            "stream": False
        }
    )
    return response.json()

# 示例使用
result = chat_with_agent("帮我整理这个文件夹的内容")
print(result['choices'][0]['message']['content'])
```

--------------------------------

### Deploy SimpleManus in Production

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Commands for deploying the SimpleManus web server in a production environment using `uvicorn` or `gunicorn` for robust performance.

```Bash
# 使用 uvicorn 直接启动
uvicorn web_interface.server:app --host 0.0.0.0 --port 8000 --workers 4

# 或使用 gunicorn (需要安装)
gunicorn web_interface.server:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000
```

--------------------------------

### Manage Data with SketchPad Commands

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Demonstrates basic SketchPad commands for storing project configuration, tagging data, and searching for tagged items.

```Shell
>>> /pad_store project_config {"name": "SimpleManus", "version": "1.0"}
>>> /pad_tag project_config config,json,metadata
>>> /pad_search config
```

--------------------------------

### SimpleManus Frequently Asked Questions

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Answers to common questions regarding extending SimpleManus, including adding tools, modifying agent behavior, data storage, and LLM model configuration.

```APIDOC
Q: How to add new tools?
A: Refer to the existing tools in the 'tools/' directory, use the '@tool' decorator to create new tools, and then add them to the toolset in 'agent/global_agent.py'.

Q: How to modify the agent's behavior?
A: Edit the system prompt of the 'chat_impl' function in 'agent/BaseAgent.py'.

Q: Where is SketchPad data stored?
A: SketchPad data is stored in memory and supports persistence to the file system.

Q: How to configure different LLM models?
A: Modify the model configuration in 'config/config.py' and select different interfaces.
```

--------------------------------

### SimpleManus Development Guidelines

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Guidelines for contributing to SimpleManus, covering coding standards, documentation, testing, and project updates.

```APIDOC
Follow Python PEP 8 coding standards
Add appropriate type annotations
Write clear docstrings
Add test cases for new features
Update README documentation
```

--------------------------------

### Deploy SimpleManus in Development

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Command for running the SimpleManus web server in a development environment with auto-reload enabled.

```Bash
python start_web_server.py --reload --host 127.0.0.1
```

--------------------------------

### SimpleManus Web API Endpoints

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Overview of the HTTP API endpoints provided by SimpleManus, including basic server information, health checks, documentation links, and OpenAI-compatible chat completion endpoints.

```APIDOC
Basic Endpoints:
- GET /			Server information
- GET /health		Health check
- GET /docs		Swagger API documentation
- GET /redoc		ReDoc API documentation

OpenAI Compatible Endpoints:
- GET /v1/models	List available models
- POST /v1/chat/completions	Chat completion (supports streaming and non-streaming)
```

--------------------------------

### SimpleManus Web API Features

Source: https://github.com/nijingzhe/simplemanus/blob/master/README.md

Key features of the SimpleManus Web API, including OpenAI compatibility, streaming output, CORS support, automatic documentation, and robust error handling.

```APIDOC
OpenAI Compatible: Fully compatible with OpenAI Chat Completions API
Streaming Output: Supports Server-Sent Events (SSE) streaming responses
CORS Support: Allows cross-origin access for frontend integration
Automatic Documentation: Automatically generates Swagger and ReDoc documentation
Error Handling: Standardized error response format
Health Check: Provides service status monitoring endpoint
Singleton Management: Uses a global Agent singleton to ensure state consistency
```

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