From aa695c7cb78758a6a0bbf7536da885bbef2d7bbb Mon Sep 17 00:00:00 2001
From: OpenClaw Agent <admin@openclaw.ai>
Date: Tue, 10 Feb 2026 16:51:45 +0800
Subject: [PATCH] feat(kb-deep-analyzer): Increase output limits for detailed
 analysis
MIME-Version: 1.0
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## Increased limits:
| Stage | Before | After |
|-------|--------|-------|
| Per chunk | 500 tokens / 300 chars | 2000 tokens / 800 chars |
| Summary | 150 chars | 300 chars |
| Full analysis | 500 chars | 1500 chars |
| Short video | 100 chars | 200 chars |
| JSON response | 2000 tokens | 4000 tokens |

| Added items:
| - Topics: 3-4 → 5
| - Insights: 2-3 → 4
| - Actions: 1-2 → 3
---
 skills/kb-deep-analyzer/deep_analyzer.py | 28 ++++++++++++------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/skills/kb-deep-analyzer/deep_analyzer.py b/skills/kb-deep-analyzer/deep_analyzer.py
index 889cac0..b674539 100644
--- a/skills/kb-deep-analyzer/deep_analyzer.py
+++ b/skills/kb-deep-analyzer/deep_analyzer.py
@@ -79,7 +79,7 @@ class SimpleAIClient:
 
     def generate_json(self, prompt: str) -> Dict[str, Any]:
         """生成 JSON 格式响应"""
-        response = self.generate(prompt, max_tokens=2000)
+        response = self.generate(prompt, max_tokens=4000)
         try:
             return json.loads(response)
         except json.JSONDecodeError:
@@ -401,15 +401,15 @@ class DeepAnalyzer:
         """分析单个分片"""
         text_sample = self._get_text_sample(chunk_text, max_chars=3000)
 
-        prompt = f"""请对以下视频片段进行简要分析（限制在300字以内）：
+        prompt = f"""请对以下视频片段进行详细分析（限制在800字以内）：
 
 片段内容：
 {text_sample}
 
-请用中文简要回答，包括核心主题和关键要点。"""
+请用中文详细回答，包括核心主题、关键要点和重要细节。"""
 
         try:
-            return self.ai_client.generate(prompt, max_tokens=500)
+            return self.ai_client.generate(prompt, max_tokens=2000)
         except Exception as e:
             print(f"[DeepAnalyzer] 分片 {chunk_index} 分析失败: {e}")
             return f"第{chunk_index}段内容分析"
@@ -421,7 +421,7 @@ class DeepAnalyzer:
             for s in chunk_summaries
         ])
 
-        prompt = f"""基于以下视频各段分析，生成完整的分析报告：
+        prompt = f"""基于以下视频各段分析，生成完整详细的分析报告：
 
 标题：{title}
 
@@ -430,11 +430,11 @@ class DeepAnalyzer:
 
 请返回JSON格式：
 {{
-    "summary": "整体摘要（150字以内）",
-    "topics": ["主题1", "主题2", "主题3", "主题4"],
-    "insights": ["见解1", "见解2", "见解3"],
-    "actions": ["建议1", "建议2"],
-    "full_analysis": "详细分析（500字以内）"
+    "summary": "整体摘要（300字以内）",
+    "topics": ["主题1", "主题2", "主题3", "主题4", "主题5"],
+    "insights": ["见解1", "见解2", "见解3", "见解4"],
+    "actions": ["建议1", "建议2", "建议3"],
+    "full_analysis": "详细分析（1500字以内）"
 }}"""
 
         try:
@@ -493,10 +493,10 @@ class DeepAnalyzer:
 
 请返回以下格式JSON：
 {{
-    "summary": "整体摘要（100字以内）",
-    "topics": ["主题1", "主题2", "主题3"],
-    "insights": ["见解1", "见解2"],
-    "actions": ["建议1"],
+    "summary": "整体摘要（200字以内）",
+    "topics": ["主题1", "主题2", "主题3", "主题4"],
+    "insights": ["见解1", "见解2", "见解3"],
+    "actions": ["建议1", "建议2"],
     "tags": ["标签1", "标签2", "标签3", "标签4", "标签5"]
 }}"""