From 016c86a2dd6508f3859684ab85b37b94dcc5e639 Mon Sep 17 00:00:00 2001
From: minecraft1024a <wwwww95915@qq.com>
Date: Sun, 5 Oct 2025 21:14:47 +0800
Subject: [PATCH] =?UTF-8?q?feat(chatter):=20=E5=A2=9E=E5=8A=A0=E8=A7=84?=
 =?UTF-8?q?=E5=88=92=E5=99=A8=E6=8F=90=E7=A4=BA=E8=AF=8D=E5=92=8C=E5=93=8D?=
 =?UTF-8?q?=E5=BA=94=E7=9A=84=E8=B0=83=E8=AF=95=E6=97=A5=E5=BF=97?=
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在调试模式下，现在会打印出发送给LLM的规划器提示词以及LLM的原始响应内容。这有助于在开发和排查问题时，更好地理解规划器的输入和输出，方便调试。
---
 src/plugins/built_in/affinity_flow_chatter/plan_filter.py | 5 +++++
 1 file changed, 5 insertions(+)

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 5a96e8ca8..1a62d04f4 100644
--- a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py
+++ b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py
@@ -59,10 +59,15 @@ class ChatterPlanFilter:
         try:
             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}")
 
             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}")
                 try:
                     parsed_json = orjson.loads(repair_json(llm_content))
                 except orjson.JSONDecodeError: