Spaces:
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Add missing utils folder
Browse files- utils/__init__.py +1 -0
- utils/token_counter.py +51 -0
utils/__init__.py
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# Utils package
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utils/token_counter.py
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"""
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Token Counter Utility
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Provides token counting functionality using tiktoken library.
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Used for managing OpenAI API token limits.
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Functions:
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count_tokens: Count tokens in text using specified model encoding
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"""
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import tiktoken
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from typing import Optional
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def count_tokens(text: str, model: str = "gpt-3.5-turbo") -> int:
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"""
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Count tokens in text using tiktoken for specified model.
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This function uses the tiktoken library to accurately count tokens
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as OpenAI's API would count them. This is essential for:
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- Staying within context limits
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- Estimating API costs
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- Managing prompt sizes
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Args:
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text: Text to count tokens in
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model: OpenAI model name (default: "gpt-3.5-turbo")
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Supported models: gpt-3.5-turbo, gpt-4, gpt-4-turbo-preview
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Returns:
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Number of tokens in the text
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Raises:
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ValueError: If model encoding is not available
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Example:
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>>> count_tokens("Hello, world!")
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4
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>>> count_tokens("How do I create a ROS 2 publisher?")
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10
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>>> count_tokens("Long text...", model="gpt-4")
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...
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"""
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try:
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encoder = tiktoken.encoding_for_model(model)
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except KeyError:
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# Fallback to cl100k_base encoding (used by gpt-3.5-turbo and gpt-4)
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encoder = tiktoken.get_encoding("cl100k_base")
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tokens = encoder.encode(text)
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return len(tokens)
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