From 348f4e0fe064fda257351a31afcd4975b2353b6e Mon Sep 17 00:00:00 2001
From: lkddi <lkddi@163.com>
Date: Sat, 28 Mar 2026 20:53:42 +0800
Subject: [PATCH] =?UTF-8?q?fix(=E7=99=BE=E5=AE=B6=E4=B9=90AI=E9=A2=84?=
 =?UTF-8?q?=E6=B5=8B):=20=E5=85=BC=E5=AE=B9=E6=8E=A8=E7=90=86=E5=9E=8B?=
 =?UTF-8?q?=E6=A8=A1=E5=9E=8B(StepFun/DeepSeek-R1)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- max_tokens 从 10 调整到 1000，避免推理模型因 finish_reason:length 截断
- content 为 null 时从 reasoning 字段正则提取预测关键词作为兜底
- 经 openrouter/stepfun-step-3.5-flash 实测验证通过
---
 app/Services/BaccaratPredictionService.php | 16 +++++++++++++---
 1 file changed, 13 insertions(+), 3 deletions(-)

diff --git a/app/Services/BaccaratPredictionService.php b/app/Services/BaccaratPredictionService.php
index c109f54..3d6f0c4 100644
--- a/app/Services/BaccaratPredictionService.php
+++ b/app/Services/BaccaratPredictionService.php
@@ -125,8 +125,8 @@ PROMPT;
                 ->timeout(self::REQUEST_TIMEOUT)
                 ->post($endpoint, [
                     'model' => $config->model,
-                    'temperature' => 0.3, // 预测任务偏确定性，使用较低温度
-                    'max_tokens' => 10,  // 只需要输出单个词
+                    'temperature' => 0.3,  // 预测任务偏确定性，使用较低温度
+                    'max_tokens' => 1000, // 推理模型需要大量 token 完成思考后才输出 content
                     'messages' => [
                         [
                             'role' => 'system',
@@ -147,7 +147,17 @@ PROMPT;
             }
 
             $data = $response->json();
-            $reply = trim($data['choices'][0]['message']['content'] ?? '');
+            $message = $data['choices'][0]['message'] ?? [];
+
+            // 兼容推理模型（如 DeepSeek-R1、StepFun）：content 可能为 null，
+            // 此时从 reasoning 字段中正则匹配最后出现的预测关键词作为兜底。
+            $reply = trim($message['content'] ?? '');
+            if ($reply === '') {
+                $reasoning = $message['reasoning'] ?? '';
+                if (preg_match('/[大小豹子]+(?=[^大小豹子]*$)/u', $reasoning, $m)) {
+                    $reply = $m[0];
+                }
+            }
 
             $promptTokens = $data['usage']['prompt_tokens'] ?? 0;
             $completionTokens = $data['usage']['completion_tokens'] ?? 0;