wehub-resource-sync
83 lines
2.1 KiB
Markdown
83 lines
2.1 KiB
Markdown
# 範例
|
||
|
||
這是一個用於 MCP Server 的 JavaScript 範例
|
||
|
||
以下是一個工具註冊的範例，我們註冊了一個會對 LLM 進行模擬呼叫的工具：
|
||
|
||
```javascript
|
||
this.mcpServer.tool(
|
||
'completion',
|
||
{
|
||
model: z.string(),
|
||
prompt: z.string(),
|
||
options: z.object({
|
||
temperature: z.number().optional(),
|
||
max_tokens: z.number().optional(),
|
||
stream: z.boolean().optional()
|
||
}).optional()
|
||
},
|
||
async ({ model, prompt, options }) => {
|
||
console.log(`Processing completion request for model: ${model}`);
|
||
|
||
// Validate model
|
||
if (!this.models.includes(model)) {
|
||
throw new Error(`Model ${model} not supported`);
|
||
}
|
||
|
||
// Emit event for monitoring/metrics
|
||
this.events.emit('request', {
|
||
type: 'completion',
|
||
model,
|
||
timestamp: new Date()
|
||
});
|
||
|
||
// In a real implementation, this would call an AI model
|
||
// Here we just echo back parts of the request with a mock response
|
||
const response = {
|
||
id: `mcp-resp-${Date.now()}`,
|
||
model,
|
||
text: `This is a response to: ${prompt.substring(0, 30)}...`,
|
||
usage: {
|
||
promptTokens: prompt.split(' ').length,
|
||
completionTokens: 20,
|
||
totalTokens: prompt.split(' ').length + 20
|
||
}
|
||
};
|
||
|
||
// Simulate network delay
|
||
await new Promise(resolve => setTimeout(resolve, 500));
|
||
|
||
// Emit completion event
|
||
this.events.emit('completion', {
|
||
model,
|
||
timestamp: new Date()
|
||
});
|
||
|
||
return {
|
||
content: [
|
||
{
|
||
type: 'text',
|
||
text: JSON.stringify(response)
|
||
}
|
||
]
|
||
};
|
||
}
|
||
);
|
||
```
|
||
|
||
## 安裝
|
||
|
||
執行以下指令：
|
||
|
||
```bash
|
||
npm install
|
||
```
|
||
|
||
## 執行
|
||
|
||
```bash
|
||
npm start
|
||
```
|
||
|
||
**免責聲明**：
|
||
本文件係使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們致力於確保準確性，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應視為權威來源。對於重要資訊，建議採用專業人工翻譯。我們不對因使用本翻譯而產生的任何誤解或誤釋負責。 |