perf: 优化 Ollama AI

app/Http/Controllers/Api/SystemController.php

@@ -331,7 +331,8 @@ class SystemController extends AbstractController
      * @apiGroup system
      * @apiName setting__aibot_defmodels
      *
-     * @apiParam {String} type      AI类型
+     * @apiParam {String} type          AI类型
+     * @apiParam {String} [base_url]    基础URL（仅 type=ollama 时有效）
      *
      * @apiSuccess {Number} ret     返回状态码（1正确、0错误）
      * @apiSuccess {String} msg     返回信息（错误描述）
@@ -340,6 +341,13 @@ class SystemController extends AbstractController
     public function setting__aibot_defmodels()
     {
         $type = trim(Request::input('type'));
+        $baseUrl = trim(Request::input('base_url'));
+        if ($type == 'ollama') {
+            if (empty($baseUrl)) {
+                return Base::retError('请填写基础URL');
+            }
+            return Extranet::ollamaModels($baseUrl);
+        }
         $models = Setting::AIDefaultModels($type);
         if (empty($models)) {
             return Base::retError('未找到默认模型');

app/Module/Extranet.php

@@ -159,6 +159,35 @@ class Extranet
         return Base::retSuccess("success", $result);
     }
 
+    /**
+     * 获取 ollama 模型
+     * @param $baseUrl
+     * @return array
+     */
+    public static function ollamaModels($baseUrl)
+    {
+        $res = Ihttp::ihttp_request($baseUrl . '/api/tags', [], [], 15);
+        if (Base::isError($res)) {
+            return Base::retError("获取失败", $res);
+        }
+        $resData = Base::json2array($res['data']);
+        if (empty($resData['models'])) {
+            return Base::retError("获取失败", $resData);
+        }
+        $models = [];
+        foreach ($resData['models'] as $model) {
+            if ($model['name'] !== $model['model']) {
+                $models[] = "{$model['model']} | {$model['name']}";
+            } else {
+                $models[] = $model['model'];
+            }
+        }
+        return Base::retSuccess("success", [
+            'models' => $models,
+            'original' => $resData['models']
+        ]);
+    }
+
     /**
      * 获取IP地址经纬度
      * @param string $ip

app/Tasks/BotReceiveMsgTask.php

@@ -443,6 +443,9 @@ class BotReceiveMsgTask extends AbstractTask
             if ($type === 'wenxin') {
                 $extras['api_key'] .= ':' . $setting['wenxin_secret'];
             }
+            if ($type === 'ollama' && empty($extras['api_key'])) {
+                $extras['api_key'] = Base::strRandom(6);
+            }
             if (empty($extras['api_key'])) {
                 $errorContent = '机器人未启用。';
             }

resources/assets/js/pages/manage/setting/components/SystemAibot.vue

@@ -182,8 +182,17 @@ export default {
 
         functionClick(prop) {
             if (prop === `${this.type}_models`) {
+                const data = {};
+                if (this.type === 'ollama') {
+                    if (!this.formData[`${this.type}_base_url`]) {
+                        $A.modalError('请先填写 Base URL');
+                        return;
+                    }
+                    data.base_url = this.formData[`${this.type}_base_url`];
+                }
                 this.$store.dispatch("call", {
                     url: 'system/setting/aibot_defmodels?type=' + this.type,
+                    data,
                     spinner: 600,
                 }).then(({data}) => {
                     this.formData[prop] = data.models.join('\n');

resources/assets/js/store/ai.js

@@ -200,11 +200,17 @@ const AISystemConfig = {
                 {
                     prop: "key",
                     placeholder: "Ollama API Key",
+                    tip: "如果没有请留空",
                 },
                 {
                     prop: "models",
                     link: "https://ollama.com/models",
-                    functions: null,
+                    functions: "获取本地模型列表",
+                },
+                {
+                    prop: "base_url",
+                    placeholder: "Enter base URL...",
+                    tip: "API请求的URL路径",
                 }
             ]
         },