上传代码

local_plugins/open_ai_service/android/build.gradle.kts

@@ -57,4 +57,5 @@ dependencies {
     implementation("io.ktor:ktor-client-cio:3.1.2")
     implementation("io.ktor:ktor-client-okhttp:3.1.2")
     implementation("io.ktor:ktor-client-logging:3.1.2")
+    implementation("com.google.code.gson:gson:2.10.1")
 }

local_plugins/open_ai_service/android/src/main/kotlin/com/yunqiinnovation/open_ai_service/MCPClient.kt

@@ -391,7 +391,7 @@ class MCPSubClient(
                     else -> ""
                 }
             }
-            JSONObject().apply { put("name",name);put("meta",result?._meta?.toMap()); put("context",context) }
+            JSONObject().apply { put("name",name);put("meta",result?._meta.toString()); put("context",context) }
         } catch (e: Exception) {
             Log.e(TAG, "调用MCP工具失败: ${e.message}", e)
             JSONObject().apply { put("context",   "调用MCP工具失败: ${e.message}")}

local_plugins/open_ai_service/android/src/main/kotlin/com/yunqiinnovation/open_ai_service/OpenAIServicePlugin.kt

@@ -168,14 +168,21 @@ class OpenAIServicePlugin : FlutterPlugin, MethodCallHandler, StreamHandler {
                                 Log.e("OpenAIServicePlugin", "context:${functionCall.toString()}")
                                 val context = functionCall["context"]
                                 if (functionCall.has("meta")) {
-                                    val meta = mapOf<String, Any>(
-                                        "card_spotify" to mapOf<String, Any>(
-                                            "name" to "泡沫",
-                                            "image" to  "https://i.scdn.co/image/ab67616d0000b2739f6a38e4bb9c2f824c215e58",
-                                            "url" to "spotify:track:2IfSPLPDW6RGosdB5huwAA",
-                                            "sgener" to  "Xposed",
-                                        )
+                                    Log.e("OpenAIServicePlugin",
+                                        """
+                                        工具调用结果 meta 类型: ${functionCall["meta"]?.javaClass?.canonicalName}
+                                        值内容: ${functionCall["meta"]}
+                                        """.trimIndent()
                                     )
+                                    val meta = functionCall["meta"].toString()
+//                                    val meta = mapOf<String, Any>(
+//                                        "card_spotify" to mapOf<String, Any>(
+//                                            "name" to "泡沫",
+//                                            "image" to  "https://i.scdn.co/image/ab67616d0000b2739f6a38e4bb9c2f824c215e58",
+//                                            "url" to "spotify:track:2IfSPLPDW6RGosdB5huwAA",
+//                                            "sgener" to  "Xposed",
+//                                        )
+//                                    )
                                     Log.e("OpenAIServicePlugin", "工具调用结果  context:${context} meta:${meta.toString()}")
                                     // 发送函数调用事件
                                     mainHandler.post {

local_plugins/open_ai_service/lib/open_ai_service.dart

@@ -32,8 +32,8 @@ class OpenAIEvent {
   factory OpenAIEvent.fromMap(Map<String, dynamic> map) {
     final typeStr = map['type'] as String;
     final content = map['content'];
-    final rawMeta = map['meta'];
-    final meta = rawMeta is Map ? Map<String, dynamic>.from(rawMeta) : null;
+    final rawMeta = map['meta'] as String?;
+    final meta = rawMeta != null ? jsonDecode(rawMeta) : null;
     return OpenAIEvent(
       type: _typeFromString(typeStr),
       content: content,