使用 maf重构

Service/AgentFramework/AITools.cs

@@ -0,0 +1,70 @@
+namespace Service.AgentFramework;
+
+/// <summary>
+/// AI 工具集
+/// </summary>
+public interface IAITools
+{
+    /// <summary>
+    /// AI 分类决策
+    /// </summary>
+    Task<ClassificationResult[]> ClassifyTransactionsAsync(
+        string systemPrompt,
+        string userPrompt);
+}
+
+/// <summary>
+/// AI 工具实现
+/// </summary>
+public class AITools(
+    IOpenAiService openAiService,
+    ILogger<AITools> logger
+) : IAITools
+{
+    public async Task<ClassificationResult[]> ClassifyTransactionsAsync(
+        string systemPrompt,
+        string userPrompt)
+    {
+        logger.LogInformation("调用 AI 进行账单分类");
+        
+        var response = await openAiService.ChatAsync(systemPrompt, userPrompt);
+        if (string.IsNullOrWhiteSpace(response))
+        {
+            logger.LogWarning("AI 返回空响应");
+            return Array.Empty<ClassificationResult>();
+        }
+
+        // 解析 NDJSON 格式的 AI 响应
+        var results = new List<ClassificationResult>();
+        var lines = response.Split(new[] { '\n', '\r' }, StringSplitOptions.RemoveEmptyEntries);
+
+        foreach (var line in lines)
+        {
+            if (string.IsNullOrWhiteSpace(line))
+                continue;
+
+            try
+            {
+                using var doc = JsonDocument.Parse(line);
+                var root = doc.RootElement;
+                
+                var result = new ClassificationResult
+                {
+                    Reason = root.GetProperty("reason").GetString() ?? string.Empty,
+                    Classify = root.GetProperty("classify").GetString() ?? string.Empty,
+                    Type = (TransactionType)root.GetProperty("type").GetInt32(),
+                    Confidence = 0.9 // 可从 AI 响应中解析
+                };
+
+                results.Add(result);
+            }
+            catch (JsonException ex)
+            {
+                logger.LogWarning(ex, "解析 AI 响应行失败: {Line}", line);
+            }
+        }
+
+        logger.LogInformation("AI 分类完成，得到 {Count} 条结果", results.Count);
+        return results.ToArray();
+    }
+}