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Based on the information provided in the extracts, it seems you are hitting the rate limit for the
gpt-3.5-turbo model. However, the extracts do not provide information on how to switch to the
gpt-3.5-turbo-16k model or how to handle rate limit errors.
The extracts do show how to set up a
ServiceContext with a specific model, as shown in this code snippet:
from llama_index.llms import OpenAI
llm = OpenAI(model="gpt-3.5-turbo", temperature=0.1)
service_context = ServiceContext.from_defaults(llm=llm)
In this code, the
OpenAI class is instantiated with the
model parameter set to
"gpt-3.5-turbo". If
gpt-3.5-turbo-16k is a valid model name, you could potentially replace
"gpt-3.5-turbo" with
"gpt-3.5-turbo-16k".
However, the extracts do not provide any information on whether
gpt-3.5-turbo-16k is a valid model name, or how to handle rate limit errors. For more detailed information, you may need to refer to the official OpenAI and LlamaIndex documentation or contact OpenAI support.
Source:
GitHub ()
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