1 files changed, 0 insertions, 110 deletions
diff --git a/autogpt/llm/api_manager.py b/autogpt/llm/api_manager.py
deleted file mode 100644
index 04e67db64..000000000
--- a/autogpt/llm/api_manager.py
+++ /dev/null
@@ -1,110 +0,0 @@
-from __future__ import annotations
-
-from typing import List, Optional
-
-import openai
-from openai import Model
-
-from autogpt.llm.base import CompletionModelInfo
-from autogpt.logs import logger
-from autogpt.singleton import Singleton
-
-
-class ApiManager(metaclass=Singleton):
-    def __init__(self):
-        self.total_prompt_tokens = 0
-        self.total_completion_tokens = 0
-        self.total_cost = 0
-        self.total_budget = 0
-        self.models: Optional[list[Model]] = None
-
-    def reset(self):
-        self.total_prompt_tokens = 0
-        self.total_completion_tokens = 0
-        self.total_cost = 0
-        self.total_budget = 0.0
-        self.models = None
-
-    def update_cost(self, prompt_tokens, completion_tokens, model):
-        """
-        Update the total cost, prompt tokens, and completion tokens.
-
-        Args:
-        prompt_tokens (int): The number of tokens used in the prompt.
-        completion_tokens (int): The number of tokens used in the completion.
-        model (str): The model used for the API call.
-        """
-        # the .model property in API responses can contain version suffixes like -v2
-        from autogpt.llm.providers.openai import OPEN_AI_MODELS
-
-        model = model[:-3] if model.endswith("-v2") else model
-        model_info = OPEN_AI_MODELS[model]
-
-        self.total_prompt_tokens += prompt_tokens
-        self.total_completion_tokens += completion_tokens
-        self.total_cost += prompt_tokens * model_info.prompt_token_cost / 1000
-        if issubclass(type(model_info), CompletionModelInfo):
-            self.total_cost += (
-                completion_tokens * model_info.completion_token_cost / 1000
-            )
-
-        logger.debug(f"Total running cost: ${self.total_cost:.3f}")
-
-    def set_total_budget(self, total_budget):
-        """
-        Sets the total user-defined budget for API calls.
-
-        Args:
-        total_budget (float): The total budget for API calls.
-        """
-        self.total_budget = total_budget
-
-    def get_total_prompt_tokens(self):
-        """
-        Get the total number of prompt tokens.
-
-        Returns:
-        int: The total number of prompt tokens.
-        """
-        return self.total_prompt_tokens
-
-    def get_total_completion_tokens(self):
-        """
-        Get the total number of completion tokens.
-
-        Returns:
-        int: The total number of completion tokens.
-        """
-        return self.total_completion_tokens
-
-    def get_total_cost(self):
-        """
-        Get the total cost of API calls.
-
-        Returns:
-        float: The total cost of API calls.
-        """
-        return self.total_cost
-
-    def get_total_budget(self):
-        """
-        Get the total user-defined budget for API calls.
-
-        Returns:
-        float: The total budget for API calls.
-        """
-        return self.total_budget
-
-    def get_models(self, **openai_credentials) -> List[Model]:
-        """
-        Get list of available GPT models.
-
-        Returns:
-        list: List of available GPT models.
-
-        """
-        if self.models is None:
-            all_models = openai.Model.list(**openai_credentials)["data"]
-            self.models = [model for model in all_models if "gpt" in model["id"]]
-
-        return self.models