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34 lines
1.5 KiB
Python
34 lines
1.5 KiB
Python
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'''
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This file's purpose is to count the number of tokens used by a list of messages.
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It is used to check if the token limit of the model is reached.
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Reference: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb
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'''
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import tiktoken
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async def num_tokens_from_messages(messages, model="gpt-3.5-turbo"):
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"""Returns the number of tokens used by a list of messages."""
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try:
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encoding = tiktoken.encoding_for_model(model)
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except KeyError:
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print("Warning: model not found. Using cl100k_base encoding.")
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encoding = tiktoken.get_encoding("cl100k_base")
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if model.startswith("gpt-3.5-turbo"):
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tokens_per_message = 4 # every message follows <|start|>{role/name}\n{content}<|end|>\n
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tokens_per_name = -1 # if there's a name, the role is omitted
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elif model.startswith("gpt-4"):
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tokens_per_message = 3
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tokens_per_name = 1
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else:
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raise NotImplementedError(f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""")
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num_tokens = 0
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for message in messages:
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num_tokens += tokens_per_message
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for key, value in message.items():
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num_tokens += len(encoding.encode(value))
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if key == "name":
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num_tokens += tokens_per_name
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num_tokens += 3 # every reply is primed with <|start|>assistant<|message|>
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return num_tokens
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