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refactor: disable console logging in MCP Prompt plugin for cleaner output

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- Commented out console log statements in the `createMCPPromptPlugin` to reduce noise during execution.
- Maintained the structure and functionality of the plugin while improving readability and performance.
This commit is contained in:
MyPrototypeWhat 2025-06-27 15:03:58 +08:00
parent c934b45c09
commit d9eb9e86fe
1 changed files with 14 additions and 11 deletions
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25
packages/aiCore/src/core/plugins/built-in/mcpPrompt.ts
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@ -328,24 +328,24 @@ export const createMCPPromptPlugin = definePlugin((config: MCPPromptConfig = {})
return new TransformStream<any>({
async transform(chunk, controller) {
console.log('chunk', chunk)
// console.log('chunk', chunk)
// 收集文本内容
if (chunk.type === 'text-delta') {
textBuffer += chunk.textDelta || ''
console.log('textBuffer', textBuffer)
// console.log('textBuffer', textBuffer)
controller.enqueue(chunk)
return
}
// 监听 step-finish 事件
if (chunk.type === 'step-finish' || chunk.type === 'finish') {
console.log('[MCP Prompt Stream] Received step-finish, checking for tool use...')
// console.log('[MCP Prompt Stream] Received step-finish, checking for tool use...')
// 从 context 获取工具信息
const tools = context.mcpTools
console.log('tools from context', tools)
// console.log('tools from context', tools)
if (!tools || Object.keys(tools).length === 0) {
console.log('[MCP Prompt Stream] No tools available, passing through')
// console.log('[MCP Prompt Stream] No tools available, passing through')
controller.enqueue(chunk)
return
}
@ -353,16 +353,16 @@ export const createMCPPromptPlugin = definePlugin((config: MCPPromptConfig = {})
// 解析工具调用
const parsedTools = parseToolUse(textBuffer, tools)
const validToolUses = parsedTools.filter((t) => t.status === 'pending')
console.log('parsedTools', parsedTools)
// console.log('parsedTools', parsedTools)
// 如果没有有效的工具调用，直接传递原始事件
if (validToolUses.length === 0) {
console.log('[MCP Prompt Stream] No valid tool uses found, passing through')
// console.log('[MCP Prompt Stream] No valid tool uses found, passing through')
controller.enqueue(chunk)
return
}
console.log('[MCP Prompt Stream] Found valid tool uses:', validToolUses.length)
// console.log('[MCP Prompt Stream] Found valid tool uses:', validToolUses.length)
// 修改 step-finish 事件，标记为工具调用
if (chunk.type !== 'finish') {
@ -466,7 +466,7 @@ export const createMCPPromptPlugin = definePlugin((config: MCPPromptConfig = {})
// 递归调用逻辑
if (validToolUses.length > 0) {
console.log('[MCP Prompt] Starting recursive call after tool execution...')
// console.log('[MCP Prompt] Starting recursive call after tool execution...')
// 构建工具结果的文本表示，使用Cherry Studio标准格式
const toolResultsText = executedResults
@ -479,7 +479,7 @@ export const createMCPPromptPlugin = definePlugin((config: MCPPromptConfig = {})
}
})
.join('\n\n')
console.log('context.originalParams.messages', context.originalParams.messages)
// console.log('context.originalParams.messages', context.originalParams.messages)
// 构建新的对话消息
const newMessages = [
...(context.originalParams.messages || []),
@ -513,7 +513,10 @@ export const createMCPPromptPlugin = definePlugin((config: MCPPromptConfig = {})
if (done) {
break
}
if (value.type === 'finish') {
// 迭代的流不发finish
break
}
// 将递归流的数据传递到当前流
controller.enqueue(value)
}