AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
With new version it says that it cannot deserialize json body
Status code: 422
Response content: b'Failed to deserialize the JSON body into the target type: parameters.max_new_tokens: invalid value: integer -1380, expected u32 at line 1 column 4229'
Exception in thread Thread-2 (run_task):
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py", line 1038, in _bootstrap_inner
self.run()
File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py", line 975, in run
self._target(*self._args, **self._kwargs)
File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 330, in run_task
result = self.execution_agent(task["task_name"], task["task_id"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 313, in execution_agent
return self.run(prompt)
^^^^^^^^^^^^^^^^
File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 119, in run
self.response = self.instruct(prompt)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/provider/huggingchat.py", line 44, in instruct
raise Exception("Failed to send prompt to AI")
Exception: Failed to send prompt to AI
Description
With new version it says that it cannot deserialize json body Status code: 422 Response content: b'Failed to deserialize the JSON body into the target type: parameters.max_new_tokens: invalid value: integer
-1380
, expected u32 at line 1 column 4229' Exception in thread Thread-2 (run_task): Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **self._kwargs) File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 330, in run_task result = self.execution_agent(task["task_name"], task["task_id"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 313, in execution_agent return self.run(prompt) ^^^^^^^^^^^^^^^^ File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/AgentLLM.py", line 119, in run self.response = self.instruct(prompt) ^^^^^^^^^^^^^^^^^^^^^ File "/Users/timur/Downloads/Agent-LLM-1.0.17-alpha/provider/huggingchat.py", line 44, in instruct raise Exception("Failed to send prompt to AI") Exception: Failed to send prompt to AI.env file AI_PROVIDER=huggingchat AI_MODEL=openassistant AI_TEMPERATURE=0.2 MAX_TOKENS=2048
Steps to Reproduce the Bug
Create .env file with huggingface as AI provider Start backend Start frontend Set agent objective
Expected Behavior
Start the task execution
Actual Behavior
Gives "Failed to send message" error
Additional Context / Screenshots
No response
Operating System
Python Version
Environment Type - Connection
Environment Type - Container
Acknowledgements