Major enhancements: - Zero-config OpenWebUI Tool Bridge: automatically converts WebUI Functions to Copilot-compatible tools - Dynamic MCP Discovery: seamlessly reads MCP servers from Admin Settings -> Connections - High-performance async engine with optimized event-driven streaming - Robust interoperability via dynamic Pydantic model generation - Simplified token acquisition (web-based PAT only, removed CLI method) - Updated configuration valves (renamed, removed legacy parameters) - Comprehensive bilingual documentation sync
5.2 KiB
🛠️ Custom Tools Usage / 自定义工具使用指南
Overview / 概览
This pipe supports OpenWebUI Native Tools (Functions) and Custom Python Tools. 本 Pipe 支持 OpenWebUI 原生工具 (Functions) 和 自定义 Python 工具。
🚀 OpenWebUI Native Tools / OpenWebUI 原生工具 (v0.3.0)
New in v0.3.0: You can use any tool defined in OpenWebUI directly with Copilot. v0.3.0 新增: 您可以直接在 Copilot 中使用 OpenWebUI 中定义的任何工具。
How to use / 如何使用:
- Go to Workspace -> Tools.
- Create a tool (e.g.
get_weather). - In Copilot Chat settings (Valves), ensure
ENABLE_OPENWEBUI_TOOLSisTrue(default). - Ask Copilot: "Search for the latest news" or "Check weather".
Note / 注意:
- Tool names are automatically sanitized to match Copilot SDK requirements (e.g.
my.tool->my_tool). - 工具名称会自动净化以符合 Copilot SDK 要求(例如
my.tool变为my_tool)。
📦 Python Custom Tools / Python 自定义工具
This pipe includes 1 example custom tool that demonstrates how to use GitHub Copilot SDK's tool calling feature directly in Python code. 本 Pipe 包含 1 个示例自定义工具,展示如何使用 GitHub Copilot SDK 的工具调用功能。
1. generate_random_number / 生成随机数
Description: Generate a random integer 描述: 生成随机整数
Parameters / 参数:
min(optional): Minimum value (default: 1)max(optional): Maximum value (default: 100)min(可选): 最小值 (默认: 1)max(可选): 最大值 (默认: 100)
Example / 示例:
User: "Give me a random number between 1 and 10"
Copilot: [calls generate_random_number with min=1, max=10] "Generated random number: 7"
用户: "给我一个 1 到 10 之间的随机数"
Copilot: [调用 generate_random_number,参数 min=1, max=10] "生成的随机数: 7"
⚙️ Configuration / 配置
Enable Tools / 启用工具
In Valves configuration: 在 Valves 配置中:
ENABLE_TOOLS: true
AVAILABLE_TOOLS: all
Select Specific Tools / 选择特定工具
Instead of enabling all tools, specify which ones to use: 不启用所有工具,而是指定要使用的工具:
ENABLE_TOOLS: true
AVAILABLE_TOOLS: generate_random_number
🔧 How Tool Calling Works / 工具调用的工作原理
1. User asks a question / 用户提问
↓
2. Copilot decides if it needs a tool / Copilot 决定是否需要工具
↓
3. If yes, Copilot calls the appropriate tool / 如果需要,调用相应工具
↓
4. Tool executes and returns result / 工具执行并返回结果
↓
5. Copilot uses the result to answer / Copilot 使用结果回答
Visual Feedback / 可视化反馈
When tools are called, you'll see: 当工具被调用时,你会看到:
🔧 **Calling tool**: `generate_random_number`
✅ **Tool `generate_random_number` completed**
Generated random number: 7
📚 Creating Your Own Tools / 创建自定义工具
Want to add your own Python tools? Follow this pattern (module-level tools): 想要添加自己的 Python 工具?遵循这个模式(模块级工具):
from pydantic import BaseModel, Field
from copilot import define_tool
class MyToolParams(BaseModel):
param_name: str = Field(description="Parameter description")
@define_tool(description="Clear description of what the tool does and when to use it")
async def my_tool(params: MyToolParams) -> str:
# Do something
result = do_something(params.param_name)
return f"Result: {result}"
Then register it in _initialize_custom_tools():
然后将它添加到 _initialize_custom_tools():
def _initialize_custom_tools(self):
if not self.valves.ENABLE_TOOLS:
return []
all_tools = {
"generate_random_number": generate_random_number,
"my_tool": my_tool, # ✅ Add here
}
if self.valves.AVAILABLE_TOOLS == "all":
return list(all_tools.values())
enabled = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
return [all_tools[name] for name in enabled if name in all_tools]
⚠️ Important Notes / 重要说明
Security / 安全性
-
Tools run in the same process as the pipe
-
Be careful with tools that execute code or access files
-
Always validate input parameters
-
工具在与 Pipe 相同的进程中运行
-
谨慎处理执行代码或访问文件的工具
-
始终验证输入参数
Performance / 性能
-
Tool execution is synchronous during streaming
-
Long-running tools may cause delays
-
Consider adding timeouts for external API calls
-
工具执行在流式传输期间是同步的
-
长时间运行的工具可能导致延迟
-
考虑为外部 API 调用添加超时
Debugging / 调试
-
Enable
DEBUG: trueto see tool events in the browser console -
Check tool calls in
🔧 Calling toolmessages -
Tool errors are displayed in the response
-
启用
DEBUG: true在浏览器控制台查看工具事件 -
在
🔧 Calling tool消息中检查工具调用 -
工具错误会显示在响应中
Version: 0.3.0 Last Updated: 2026-02-05