From 10f56a8bc11220a3d711c7273ba2faa270a7c7ff Mon Sep 17 00:00:00 2001
From: tt-P607 <68868379+tt-P607@users.noreply.github.com>
Date: Thu, 23 Oct 2025 20:07:51 +0800
Subject: [PATCH] =?UTF-8?q?chore(log):=20=E8=B0=83=E6=95=B4LLM=E7=9B=B8?=
 =?UTF-8?q?=E5=85=B3=E6=97=A5=E5=BF=97=E7=BA=A7=E5=88=AB=E4=B8=BADEBUG?=
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将LLM原始提示词和响应的日志级别从`INFO`调整为`DEBUG`。

此举旨在减少非调试模式下的日志输出，避免过长的模型交互内容刷屏，从而保持日志的整洁性，仅在需要时提供详细的调试信息。
---
 src/llm_models/utils_model.py                             | 1 +
 src/plugins/built_in/affinity_flow_chatter/plan_filter.py | 4 ++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/src/llm_models/utils_model.py b/src/llm_models/utils_model.py
index f60f8c205..49c83c135 100644
--- a/src/llm_models/utils_model.py
+++ b/src/llm_models/utils_model.py
@@ -961,6 +961,7 @@ class LLMRequest:
             )
 
             await self._record_usage(model_info, response.usage, time.time() - start_time, "/chat/completions")
+            logger.debug(f"LLM原始响应: {response.content}")
 
             if not response.content and not response.tool_calls:
                 if raise_when_empty:
diff --git a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py
index 6b97c056b..229860cf1 100644
--- a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py
+++ b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py
@@ -60,13 +60,13 @@ class ChatterPlanFilter:
             prompt, used_message_id_list = await self._build_prompt(plan)
             plan.llm_prompt = prompt
             if global_config.debug.show_prompt:
-                logger.info(f"规划器原始提示词:{prompt}")
+                logger.debug(f"规划器原始提示词:{prompt}")
 
             llm_content, _ = await self.planner_llm.generate_response_async(prompt=prompt)
 
             if llm_content:
                 if global_config.debug.show_prompt:
-                    logger.info(f"LLM规划器原始响应:{llm_content}")
+                    logger.debug(f"LLM规划器原始响应:{llm_content}")
                 try:
                     parsed_json = orjson.loads(repair_json(llm_content))
                 except orjson.JSONDecodeError: