init: 数字员工平台初始代码

包含前端（Vue3 + VueFlow 画布）、后端（Go）、文档体系。 - 工作台画布：节点拖放、连线模式、右键菜单、AI 助手 - 后端：连接器 API、专员种子数据 - 导航：左侧导航、工坊、市场、控制台
2026-08-18 20:19:58 +08:00
commit 4e8817d768
239 changed files with 48631 additions and 0 deletions
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+import http from './http'
+
+export function quickActions() {
+  return http.get('/ai-chat/quick-actions')
+}
+
+export function quickAction(actionId, params) {
+  return http.post('/ai-chat/quick-action', { action_id: actionId, params })
+}
+
+// 本人 AI 点数 + 用量（PathCoach 面板数据源）
+export function getAiMe() {
+  return http.get('/ai/me')
+}
+
+// 用量聚合（管理员 = 全量；员工 = 本人，后端按角色过滤）
+export function getAiUsage(params) {
+  return http.get('/ai/usage', { params })
+}
+
+// 管理员：按用户聚合用量 + 剩余点数
+export function getAiUsageUsers() {
+  return http.get('/ai/usage/users')
+}
+
+// 管理员：AI 配置（ai_config.json）读 / 写 / 热重载 / 密钥状态
+export function getAiConfig() {
+  return http.get('/ai/config')
+}
+export function putAiConfig(config) {
+  return http.put('/ai/config', config)
+}
+export function reloadAiConfig() {
+  return http.post('/ai/reload')
+}
+export function getSecretsStatus() {
+  return http.get('/ai/secrets-status')
+}
+
+// SSE 流式对话：后端 text/event-stream，每行 "data: {json}\n\n"
+export async function streamChat(message, context, history, onChunk) {
+  const token = localStorage.getItem('token')
+  const resp = await fetch('/api/ai-chat/message', {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      Authorization: `Bearer ${token}`,
+    },
+    body: JSON.stringify({ message, context, history }),
+  })
+
+  if (!resp.ok) {
+    let msg = 'LLM 请求失败'
+    try {
+      const j = await resp.json()
+      msg = j.message || j.error || msg
+    } catch {
+      /* ignore */
+    }
+    throw new Error(msg)
+  }
+
+  const reader = resp.body.getReader()
+  const decoder = new TextDecoder()
+  let buffer = ''
+
+  // eslint-disable-next-line no-constant-condition
+  while (true) {
+    const { done, value } = await reader.read()
+    if (done) break
+    buffer += decoder.decode(value, { stream: true })
+
+    let idx
+    while ((idx = buffer.indexOf('\n\n')) !== -1) {
+      const raw = buffer.slice(0, idx).trim()
+      buffer = buffer.slice(idx + 2)
+      if (!raw.startsWith('data:')) continue
+      const payload = raw.slice(5).trim()
+      if (!payload) continue
+      let obj
+      try {
+        obj = JSON.parse(payload)
+      } catch {
+        continue
+      }
+      if (obj.type === 'text') {
+        onChunk(obj.content)
+      } else if (obj.type === 'error') {
+        throw new Error(obj.message || 'LLM 请求失败')
+      } else if (obj.type === 'done') {
+        return
+      }
+    }
+  }
+}