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#132 handle "Invalid" errors in JSONDecodeError - more work needed
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@@ -147,6 +147,11 @@ def retry_on_exception(func):
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def wrapper(*args, **kwargs):
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# spinner = None
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def update_error_count(args):
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function_error_count = 1 if 'function_error' not in args[0] else args[0]['function_error_count'] + 1
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args[0]['function_error_count'] = function_error_count
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return function_error_count
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while True:
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try:
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# spinner_stop(spinner)
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@@ -155,16 +160,22 @@ def retry_on_exception(func):
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# Convert exception to string
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err_str = str(e)
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# If the specific error "context_length_exceeded" is present, simply return without retry
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if isinstance(e, json.JSONDecodeError):
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# codellama-34b-instruct seems to send incomplete JSON responses
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logger.info('Received incomplete JSON response from LLM. Asking for the rest...')
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args[0]['function_buffer'] = e.doc
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continue
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if 'Invalid' in e.msg:
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# 'Invalid control character at', 'Invalid \\escape'
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function_error_count = update_error_count(args)
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logger.warning('Received invalid character in JSON response from LLM. Asking to retry...')
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args[0]['function_error'] = err_str
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if function_error_count < 3:
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continue
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else:
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# 'Expecting value', 'Unterminated string starting at',
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# codellama-34b-instruct seems to send incomplete JSON responses
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logger.info('Received incomplete JSON response from LLM. Asking for the rest...')
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args[0]['function_buffer'] = e.doc
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continue
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elif isinstance(e, ValidationError):
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function_error_count = 1 if 'function_error' not in args[0] else args[0]['function_error_count'] + 1
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args[0]['function_error_count'] = function_error_count
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function_error_count = update_error_count(args)
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logger.warning('Received invalid JSON response from LLM. Asking to retry...')
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logger.info(f' at {e.json_path} {e.message}')
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# eg:
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@@ -176,6 +187,7 @@ def retry_on_exception(func):
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if function_error_count < 3:
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continue
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if "context_length_exceeded" in err_str:
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# If the specific error "context_length_exceeded" is present, simply return without retry
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# spinner_stop(spinner)
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raise TokenLimitError(get_tokens_in_messages_from_openai_error(err_str), MAX_GPT_MODEL_TOKENS)
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if "rate_limit_exceeded" in err_str:
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