`get_step_result`中，write步骤返回的是`results["script"]`。但当前task.json中`results["script"]`为空（因为JSON解析失败后script_result没有scenes）。

让我直接看当前task.json的完整results：

python3 -c "
import json
with open('/root/data/disk/projects/tasks/task_20260515_175454_79d283f3/task.json') as f:
    d = json.load(f)
results = d.get('results', {})
for k, v in results.items():
    if isinstance(v, dict):
        print(f'{k}: keys={list(v.keys())[:5]}, scenes={len(v.get(\"scenes\",[]))}')
    elif isinstance(v, str):
        print(f'{k}: {v[:50]}')
    else:
        print(f'{k}: {type(v).__name__}')
"


collection: keys=['status', 'task_description', 'analysis', 'parsed', 'is_real_data'], scenes=0
script: keys=['raw_script', 'parse_error', 'is_real_data', 'parse_error_detail', 'agent_called'], scenes=0
storyboard: 脚本生成降级
characters: 角色设计降级
backgrounds: 背景设计降级
video: keys=['is_real_data', 'total_shots', 'succeeded', 'shots', 'video_files'], scenes=0
review: keys=['overall_score', 'quality_metrics', 'compliance', 'analysis', 'suggestions'], scenes=0


**根因确认：** `script`结果中`parse_error=True`，没有`scenes`。Agent返回的JSON被截断了（7285字符，`Unterminated string at line 141`）。

问题是Agent输出太长被截断。我需要看看Agent的token限制：

exec

# 查看agent_client.py中的max_tokens设置
grep -n "max_tokens\|maxTokens\|max_output" /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/agent_client.py | head -10


61:                   max_tokens: int = 2048,
70:            max_tokens: 最大生成token数
91:            "max_tokens": max_tokens,
156:        return self.call_agent("collector", message, max_tokens=2048, timeout=90)
184:        return self.call_agent("writer", message, max_tokens=4096, timeout=120)
201:        return self.call_agent("producer", message, max_tokens=2048, timeout=90)
223:        return self.call_agent("publisher", message, max_tokens=2048, timeout=90)


**创作官Agent的max_tokens只有4096！** 但创作步骤需要返回完整的分镜脚本JSON（包含4个角色+5个镜头），4096 tokens远远不够。Agent返回了26995 tokens但被截断到7285字符。

需要大幅增加创作官的max_tokens：

sed -n '180,190p' /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/agent_client.py


2. 角色设计必须融入采集分析中的视觉风格建议和受众偏好
3. image_prompt禁止出现中文汉字、水印、文字,只描述画面视觉元素
4. 9:16竖屏格式,每个镜头5秒
5. 只输出JSON，不要其他文字"""
        return self.call_agent("writer", message, max_tokens=4096, timeout=120)

    def call_producer(self, shot_descriptions: str,
                      video_mode: str = "img2vid",
                      modification: str = "") -> str:
        """调用制作官Agent进行视频制作建议"""
        message = f"""请为以下镜头提供视频制作建议：


edit

return self.call_agent("writer", message, max_tokens=8192, timeout=180)

return self.call_agent("writer", message, max_tokens=4096, timeout=120)


Successfully replaced 1 block(s) in /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/agent_client.py.

     ...
 180 2. 角色设计必须融入采集分析中的视觉风格建议和受众偏好
 181 3. image_prompt禁止出现中文汉字、水印、文字,只描述画面视觉元素
 182 4. 9:16竖屏格式,每个镜头5秒
 183 5. 只输出JSON，不要其他文字"""
-184         return self.call_agent("writer", message, max_tokens=4096, timeout=120)
+184         return self.call_agent("writer", message, max_tokens=8192, timeout=180)
 185
 186     def call_producer(self, shot_descriptions: str,
 187                       video_mode: str = "img2vid",
 188                       modification: str = "") -> str:
     ...


同时，也需要增加`execute_write`中直接调用LLM时的max_tokens：

exec

# 查看execute_write中LLM调用的max_tokens
grep -n "max_tokens\|max_output" /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/user_driven_task_system.py | head -10


365:                        max_tokens=2048,
791:                    max_tokens=8192,
1417:                    max_tokens=2048,
1619:                max_tokens=4096,
1872:                max_tokens=256,
1885:                    max_tokens=256,
1955:                max_tokens=512,
1968:                    max_tokens=512,


# 第791行是execute_write中的LLM调用，已经是8192
sed -n '788,795p' /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/user_driven_task_system.py


7. 只输出JSON,不要任何其他文字""",
                    prompt=f"请基于以下信息创作微短剧分镜脚本:\n主题:{task_description}\n目标时长:{task_duration},共{num_shots}个镜头\n投放渠道:{', '.join(task_channels) if task_channels else '不限'}\n\n【采集分析参考(必须融入创作)】:\n{json.dumps(collection_data, ensure_ascii=False) if collection_data else '无'}\n\n用户偏好:{json.dumps(user_preferences, ensure_ascii=False)}",
                    temperature=0.8,
                    max_tokens=8192,
                )
            except Exception as e:
                logger.warning(f"LLM脚本生成失败: {e}")
                llm_output = None


LLM直接调用已经是8192了。问题是Agent调用的max_tokens只有4096。现在重启服务并重新测试：

# 重启8000端口服务
kill $(lsof -ti:8000) 2>/dev/null
sleep 2
cd /root/.openclaw/workspace/versions/user_driven_final_v3.0.1/manhua_studio_web_8000/
nohup /root/venv/bin/python -m uvicorn api_server:app --host 0.0.0.0 --port 8000 > /root/.openclaw/workspace/logs/manhua_studio/8000.log 2>&1 &
echo "PID: $!"
sleep 4
curl -s http://127.0.0.1:8000/api/system/health | python3 -c "import json,sys; print(json.load(sys.stdin).get('status'))"


PID: 2239474
healthy


browser

async () => {
  // 切换到任务
  await switchTask('task_20260515_175454_79d283f3');
  await new Promise(r => setTimeout(r, 2000));

  // 点击"执行创作"
  const btn = document.getElementById('btnExecuteWrite');
  btn.click();

  return 'write clicked';
}


exec

# 等待创作完成（Agent调用可能需要2-3分钟）
sleep 120
tail -15 /root/.openclaw/workspace/logs/manhua_studio/8000.log


Command still running (session calm-valley, pid 2239583). Use process (list/poll/log/write/send-keys/submit/paste/kill/clear/remove) for follow-up.


(no new output)

Process still running.


No active session found for calm-valley


INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63190 - "GET /static/user_driven_coordinator_final.html HTTP/1.1" 200 OK
INFO:     115.57.164.58:63191 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63193 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63194 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63192 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     115.57.164.58:63195 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63194 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63195 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63194 - "GET /static/user_driven_coordinator.js?v=3.8 HTTP/1.1" 200 OK
INFO:     115.57.164.58:63194 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     115.57.164.58:63194 - "GET /favicon.ico HTTP/1.1" 404 Not Found
INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/produce HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:59678 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     49.232.222.110:47172 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204353-ddrzl.mp4 HTTP/1.1" 206 Partial Content


创作步骤返回了200 OK。让我检查创作结果：

curl -s http://127.0.0.1:8000/api/tasks/task_20260515_175454_79d283f3/steps/write | python3 -c "
import json,sys
d=json.load(sys.stdin)
r=d.get('result',{})
print('parse_error:', r.get('parse_error', 'none'))
scenes = r.get('scenes',[])
print(f'scenes: {len(scenes)}')
if scenes:
    s = scenes[0]
    chars = s.get('characters',[])
    shots = s.get('shots',[])
    print(f'  characters: {len(chars)}, shots: {len(shots)}')
    for sh in shots[:3]:
        print(f'    shot: image_path={sh.get(\"image_path\",\"NONE\")[:50]}')
"


parse_error: True
scenes: 0


还是parse_error！Agent的max_tokens已经增加到8192了，但JSON还是被截断。让我看看这次Agent返回了多少tokens：

# 查看最新的创作日志
grep "writer\|创作\|JSON\|parse" /root/.openclaw/workspace/logs/manhua_studio/8000.log | tail -10


(no output)


# 日志可能被轮转了。查看全部日志
wc -l /root/.openclaw/workspace/logs/manhua_studio/8000.log
cat /root/.openclaw/workspace/logs/manhua_studio/8000.log | grep -i "writer\|创作\|json\|parse\|token\|agent" | tail -15


364 /root/.openclaw/workspace/logs/manhua_studio/8000.log


cat /root/.openclaw/workspace/logs/manhua_studio/8000.log | grep -i "writer\|创作\|json\|parse\|token\|agent\|步骤\|完成\|失败\|error" | tail -15


# 日志只有364行，全是HTTP请求日志。创作步骤的日志可能在更早的位置
head -50 /root/.openclaw/workspace/logs/manhua_studio/8000.log


INFO:     Started server process [2239474]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO:     49.232.222.110:58718 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:58718 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:58718 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:58718 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/produce HTTP/1.1" 200 OK
INFO:     49.232.222.110:58718 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:58718 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     127.0.0.1:49966 - "GET /api/system/health HTTP/1.1" 200 OK
INFO:     49.232.222.110:58724 - "GET /static/user_driven_coordinator_final.html?nocache=20260516v10 HTTP/1.1" 200 OK
INFO:     49.232.222.110:58724 - "GET /static/user_driven_coordinator.js?v=3.8 HTTP/1.1" 304 Not Modified
INFO:     49.232.222.110:58724 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     49.232.222.110:58740 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:58740 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:58740 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:58740 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     49.232.222.110:58740 - "POST /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/produce HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:57104 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fmerged_full.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57114 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204054-p6fww.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57124 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204259-c8xx2.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57130 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204149-9z5hb.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57132 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204353-ddrzl.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57162 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     49.232.222.110:57162 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204149-9z5hb.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57156 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204054-p6fww.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57198 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204259-c8xx2.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57184 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204054-p6fww.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57184 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204054-p6fww.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57198 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204259-c8xx2.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57172 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204149-9z5hb.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:57172 - "GET /api/files?path=%2Froot%2Fdata%2Fdisk%2Fprojects%2Ftasks%2Ftask_20260515_175454_79d283f3%2Fvideos%2Fvideo_cgt-20260516204149-9z5hb.mp4 HTTP/1.1" 206 Partial Content
INFO:     49.232.222.110:59476 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:59476 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:59476 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:59476 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/produce HTTP/1.1" 200 OK
INFO:     49.232.222.110:59476 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:59476 - "GET /api/tasks HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks/task_20260515_175454_79d283f3/status HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/collect HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/write HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/produce HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks/task_20260515_175454_79d283f3/steps/review HTTP/1.1" 200 OK
INFO:     49.232.222.110:59490 - "GET /api/tasks HTTP/1.1" 200 OK