feat: gpt-5-nano边界优化

Author: ai-business-hql

backend/service/summary_agent.py

@@ -86,31 +86,53 @@ def generate_summary(messages: List[Dict[str, Any]], previous_summary: str = Non
 Keep summaries factual, objective, and efficient."""
 
         # 获取配置
-        config = get_config()
+        config = get_config() or {}
 
         # 创建OpenAI客户端
         client = OpenAI(
             base_url=config.get("openai_base_url") or LLM_DEFAULT_BASE_URL,
             api_key=config.get("openai_api_key") or get_comfyui_copilot_api_key() or ""
         )
 
-        # 调用LLM生成摘要
-        completion = client.chat.completions.parse(
-            model=config.get("model_select"),
-            messages=[
-                {"role": "system", "content": system_prompt},
-                {"role": "user", "content": user_prompt}
-            ],
-            max_tokens=8192,  # 限制输出长度
-            temperature=0.3,  # 较低的温度确保摘要一致性
-            response_format=SummaryResponse
-        )
-
-        result = completion.choices[0].message.parsed
-        log.info(f"Generated summary: {result.summary[:100]}...")
-
-        if result.summary:
-            return result.summary
+        # 确定使用的模型，如果没有指定则使用默认模型
+        model_name = config.get("model_select") or WORKFLOW_MODEL_NAME
+
+        log.info(f"Generating summary with model: {model_name}")
+
+        try:
+            # 调用LLM生成摘要
+            completion = client.chat.completions.parse(
+                model=model_name,
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": user_prompt}
+                ],
+                response_format=SummaryResponse
+            )
+            result = completion.choices[0].message.parsed
+            summary_text = result.summary if result else ""
+
+        except TypeError as e:
+            # 捕获特定的 NoneType 迭代错误，通常意味着模型不支持 Structured Outputs 或 SDK 内部处理响应出错
+            if "'NoneType' object is not iterable" in str(e):
+                log.warning(f"Structured Outputs failed for model {model_name} (TypeError: {e}). Falling back to standard chat completion.")
+                
+                # 降级方案：使用普通的 create 方法，不带 response_format
+                completion = client.chat.completions.create(
+                    model=model_name,
+                    messages=[
+                        {"role": "system", "content": system_prompt},
+                        {"role": "user", "content": user_prompt}
+                    ],
+                )
+                summary_text = completion.choices[0].message.content
+            else:
+                raise e
+
+        log.info(f"Generated summary: {summary_text[:100]}..." if summary_text else "Generated empty summary")
+
+        if summary_text:
+            return summary_text
         else:
             log.warning("Summary generation returned empty result")
             return ""