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"""Functions for counting the number of tokens in a message or string."""
from __future__ import annotations
from typing import List, overload
import tiktoken
from autogpt.llm.base import Message
from autogpt.logs import logger
@overload
def count_message_tokens(messages: Message, model: str = "gpt-3.5-turbo") -> int:
...
@overload
def count_message_tokens(messages: List[Message], model: str = "gpt-3.5-turbo") -> int:
...
def count_message_tokens(
messages: Message | List[Message], model: str = "gpt-3.5-turbo"
) -> int:
"""
Returns the number of tokens used by a list of messages.
Args:
messages (list): A list of messages, each of which is a dictionary
containing the role and content of the message.
model (str): The name of the model to use for tokenization.
Defaults to "gpt-3.5-turbo-0301".
Returns:
int: The number of tokens used by the list of messages.
"""
if isinstance(messages, Message):
messages = [messages]
if model.startswith("gpt-3.5-turbo"):
tokens_per_message = (
4 # every message follows <|start|>{role/name}\n{content}<|end|>\n
)
tokens_per_name = -1 # if there's a name, the role is omitted
encoding_model = "gpt-3.5-turbo"
elif model.startswith("gpt-4"):
tokens_per_message = 3
tokens_per_name = 1
encoding_model = "gpt-4"
else:
raise NotImplementedError(
f"count_message_tokens() is not implemented for model {model}.\n"
" See https://github.com/openai/openai-python/blob/main/chatml.md for"
" information on how messages are converted to tokens."
)
try:
encoding = tiktoken.encoding_for_model(encoding_model)
except KeyError:
logger.warn("Warning: model not found. Using cl100k_base encoding.")
encoding = tiktoken.get_encoding("cl100k_base")
num_tokens = 0
for message in messages:
num_tokens += tokens_per_message
for key, value in message.raw().items():
num_tokens += len(encoding.encode(value))
if key == "name":
num_tokens += tokens_per_name
num_tokens += 3 # every reply is primed with <|start|>assistant<|message|>
return num_tokens
def count_string_tokens(string: str, model_name: str) -> int:
"""
Returns the number of tokens in a text string.
Args:
string (str): The text string.
model_name (str): The name of the encoding to use. (e.g., "gpt-3.5-turbo")
Returns:
int: The number of tokens in the text string.
"""
encoding = tiktoken.encoding_for_model(model_name)
return len(encoding.encode(string))
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