Does BABYAGI have a data processing limit?

[sambickeita]

I have observed that after a certain number of analyses and processing, BABYAGI encounters an issue that terminates its processing.

Is this the current limit of its usage, or are there certain elements that need to be configured in BABYAGI.py?

Example :

After an impressive processing, where BABYAGI made a list of several tasks, here is its final output.

Thought:Traceback (most recent call last):
File "I:\GPT\PortableGit\Free-AUTO-GPT-with-NO-API-main\BABYAGI.py", line 167, in
baby_agi({"objective": OBJECTIVE})
File "I:\programmes\python\Lib\site-packages\langchain\chains\base.py", line 140, in call
raise e
File "I:\programmes\python\Lib\site-packages\langchain\chains\base.py", line 134, in call
self._call(inputs, run_manager=run_manager)
File "I:\GPT\PortableGit\Free-AUTO-GPT-with-NO-API-main\BabyAgi\BabyAGIMod.py", line 146, in _call
result = self.execute_task(objective, task["task_name"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "I:\GPT\PortableGit\Free-AUTO-GPT-with-NO-API-main\BabyAgi\BabyAGIMod.py", line 110, in execute_task
return self.execution_chain.run(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "I:\programmes\python\Lib\site-packages\langchain\chains\base.py", line 239, in run
return self(kwargs, callbacks=callbacks)[self.output_keys[0]]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "I:\programmes\python\Lib\site-packages\langchain\chains\base.py", line 140, in call
raise e
File "I:\programmes\python\Lib\site-packages\langchain\chains\base.py", line 134, in call
self._call(inputs, run_manager=run_manager)
File "I:\programmes\python\Lib\site-packages\langchain\agents\agent.py", line 905, in _call
next_step_output = self._take_next_step(
^^^^^^^^^^^^^^^^^^^^^
File "I:\programmes\python\Lib\site-packages\langchain\agents\agent.py", line 749, in _take_next_step
raise e
File "I:\programmes\python\Lib\site-packages\langchain\agents\agent.py", line 742, in _take_next_step
output = self.agent.plan(
^^^^^^^^^^^^^^^^
File "I:\programmes\python\Lib\site-packages\langchain\agents\agent.py", line 426, in plan
return self.output_parser.parse(full_output)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "I:\programmes\python\Lib\site-packages\langchain\agents\mrkl\output_parser.py", line 26, in parse
raise OutputParserException(f"Could not parse LLM output: {text}")
langchain.schema.OutputParserException: Could not parse LLM output: `I have created a TODO list for the objective of exploring scholarly articles and research papers on AGI risks and safety measures. Here is the list:

1. Identify relevant scholarly databases and research platforms.
2. Conduct a comprehensive search using keywords related to AGI risks and safety measures.
3. Filter and select scholarly articles and research papers based on their relevance to the topic.
   .
   .
   .
   This list will guide you through the process of exploring scholarly articles and research papers to gain a deeper understanding of AGI risks and safety measures.

[IntelligenzaArtificiale]

yes, current API have a data processing limit .