Hi there, First time asking for help. I have been using Agent Zero for last 2 days. I am getting this error message in docker logs-
2025-01-27 22:33:08 INFO [agent]
2025-01-27 22:33:08 📍 Step 1
2025-01-27 22:33:12 ERROR [agent] ❌ Result failed 1/5 times:
2025-01-27 22:33:12 'NoneType' object has no attribute 'action'
2025-01-27 22:33:12 INFO [agent]
2025-01-27 22:33:12 📍 Step 1
2025-01-27 22:33:15 ERROR [agent] ❌ Result failed 2/5 times:
2025-01-27 22:33:15 'NoneType' object has no attribute 'action'
2025-01-27 22:33:15 INFO [agent]
2025-01-27 22:33:15 📍 Step 1
2025-01-27 22:33:17 ERROR [agent] ❌ Result failed 3/5 times:
2025-01-27 22:33:17 'NoneType' object has no attribute 'action'
2025-01-27 22:33:17 INFO [agent]
2025-01-27 22:33:17 📍 Step 1
2025-01-27 22:33:20 ERROR [agent] ❌ Result failed 4/5 times:
2025-01-27 22:33:20 'NoneType' object has no attribute 'action'
2025-01-27 22:33:20 INFO [agent]
2025-01-27 22:33:20 📍 Step 1
2025-01-27 22:33:23 ERROR [agent] ❌ Result failed 5/5 times:
2025-01-27 22:33:23 'NoneType' object has no attribute 'action'
2025-01-27 22:33:23 ERROR [agent] ❌ Stopping due to 5 consecutive failures
2025-01-27 22:33:23
2025-01-27 22:33:23 Traceback (most recent call last):
2025-01-27 22:33:23 Traceback (most recent call last):
2025-01-27 22:33:23 File "/a0/agent.py", line 310, in monologue 2025-01-27 22:33:23 tools_result = await self.process_tools(agent_response)
2025-01-27 22:33:23 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-01-27 22:33:23 File "/a0/agent.py", line 639, in process_tools 2025-01-27 22:33:23 await tool.after_execution(response)
2025-01-27 22:33:23 File "/a0/python/helpers/tool.py", line 34, in after_execution 2025-01-27 22:33:23 text = response.message.strip()
2025-01-27 22:33:23 ^^^^^^^^^^^^^^^^^^^^^^
2025-01-27 22:33:23 AttributeError: 'NoneType' object has no attribute 'strip'
2025-01-27 22:33:23
2025-01-27 22:33:23
2025-01-27 22:33:23 AttributeError: 'NoneType' object has no attribute 'strip'
2025-01-27 22:33:25 WARNING [langchain_core.vectorstores.base] No relevant docs were retrieved using the relevance score threshold 0.9
I do not know how to fix this. I am using the following-
Chat model: DeepSeek, model: deepseek-chat
Utility model: Deepseek, model: deepseek-chat
Embedding model: Open AI, model: text-embedding-3-small
Browser model: Deepseek, model: deepseek-chat
Thanks guys.