Why do we receive this error even we set the token limit in the agent zero settings ?

[dulara905-bit]

litellm.exceptions.ContextWindowExceededError: litellm.ContextWindowExceededError: litellm.BadRequestError: ContextWindowExceededError: OpenAIException - This model's maximum context length is 16384 tokens. However, your request has 17823 input tokens. Please reduce the length of the input messages. (parameter=input_tokens, value=17823)

Traceback (most recent call last):
Traceback (most recent call last):
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/llms/openai/openai.py", line 991, in async_streaming
headers, response = await self.make_openai_chat_completion_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/litellm_core_utils/logging_utils.py", line 190, in async_wrapper
result = await func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/llms/openai/openai.py", line 454, in make_openai_chat_completion_request
raise e
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/llms/openai/openai.py", line 436, in make_openai_chat_completion_request
await openai_aclient.chat.completions.with_raw_response.create(
File "/opt/venv-a0/lib/python3.12/site-packages/openai/_legacy_response.py", line 381, in wrapped
return cast(LegacyAPIResponse[R], await func(*args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py", line 2589, in create
return await self._post(
^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/openai/_base_client.py", line 1794, in post
return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/openai/_base_client.py", line 1594, in request
raise self._make_status_error_from_response(err.response) from None
openai.BadRequestError: Error code: 400 - {'error': {'message': "This model's maximum context length is 16384 tokens. However, your request has 17823 input tokens. Please reduce the length of the input messages. (parameter=input_tokens, value=17823)", 'type': 'BadRequestError', 'param': 'input_tokens', 'code': 400}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/main.py", line 598, in acompletion
response = await init_response
^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/llms/openai/openai.py", line 1041, in async_streaming
raise OpenAIError(
litellm.llms.openai.common_utils.OpenAIError: Error code: 400 - {'error': {'message': "This model's maximum context length is 16384 tokens. However, your request has 17823 input tokens. Please reduce the length of the input messages. (parameter=input_tokens, value=17823)", 'type': 'BadRequestError', 'param': 'input_tokens', 'code': 400}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/a0/agent.py", line 454, in monologue
agent_response, _reasoning = await self.call_chat_model(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/a0/agent.py", line 811, in call_chat_model
response, reasoning = await model.unified_call(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/a0/models.py", line 512, in unified_call
_completion = await acompletion(
^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/utils.py", line 1638, in wrapper_async
raise e
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/utils.py", line 1484, in wrapper_async
result = await original_function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/main.py", line 617, in acompletion
raise exception_type(
^^^^^^^^^^^^^^^
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/litellm_core_utils/exception_mapping_utils.py", line 2323, in exception_type
raise e
File "/opt/venv-a0/lib/python3.12/site-packages/litellm/litellm_core_utils/exception_mapping_utils.py", line 358, in exception_type
raise ContextWindowExceededError(

[dulara905-bit]

I have instructed agent0 to change bevaviour also to 16384 tokens per send to llm. but this happens again.

[dulara905-bit]

this is not working any more