1 files changed, 0 insertions, 85 deletions
diff --git a/autogpt/llm/utils/token_counter.py b/autogpt/llm/utils/token_counter.py
deleted file mode 100644
index b0791e651..000000000
--- a/autogpt/llm/utils/token_counter.py
+++ /dev/null
@@ -1,85 +0,0 @@
-"""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))