.. image:: https://img.shields.io/badge/chatGPT-74aa9c.svg?logo=openai
.. image:: https://img.shields.io/pypi/pyversions/setuptools.svg
==================
OpenAI Cost Logger
==================
* Simple **cost logger** for **OpenAI requests**.
* Track the cost of every request you make to OpenAI and visualize them in a user-friendly way.
* Homepage on `PyPI <https://pypi.org/project/openai-cost-logger/>`_.
* `Demo file <https://github.com/drudilorenzo/track-openai-cost/blob/master/demo.ipynb>`_ with a usage example.
How to install:
---------------
* .. code-block:: python
pip install openai-cost-logger
* .. code-block:: python
from openai_cost_logger import OpenAICostLogger
from openai_cost_logger import OpenAICostLoggerViz
from openai_cost_logger import OpenAICostLoggerUtils
from openai_cost_logger import DEFAULT_LOG_PATH, MODELS_COST
Key Features:
-------------
* Track the cost of every request you make and save them in a JSON file.
* Choose the feature you want to track (prompt_tokens, completion_tokens, completion, prompt, etc.).
* Check the cost of your requests filtering by model or strftime aggregation (see the docs).
Models supported:
-------------------
* The response generation is totally up to the user. The library support every model which response contains the fields **usage.prompt_tokens** and **usage.total_tokens** (e.g. chat completions, embeddings, etc.).
Note:
-----
* Every cost is specified per **million tokens**.
* If you don't specify the cost, the library will look to the **MODELS_COST** dictionary and get the cost of the model you are using. Be aware that if the model is not in the dictionary, an exception will be raised.
Viz example:
-------------
.. image:: images/example.png
:alt: Viz example (prints + plot)
:align: center
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"description": ".. image:: https://img.shields.io/badge/chatGPT-74aa9c.svg?logo=openai\n.. image:: https://img.shields.io/pypi/pyversions/setuptools.svg\n\n==================\nOpenAI Cost Logger\n==================\n\n* Simple **cost logger** for **OpenAI requests**.\n* Track the cost of every request you make to OpenAI and visualize them in a user-friendly way.\n* Homepage on `PyPI <https://pypi.org/project/openai-cost-logger/>`_.\n* `Demo file <https://github.com/drudilorenzo/track-openai-cost/blob/master/demo.ipynb>`_ with a usage example.\n\nHow to install:\n---------------\n* .. code-block:: python\n\n pip install openai-cost-logger\n\n* .. code-block:: python\n\n from openai_cost_logger import OpenAICostLogger\n from openai_cost_logger import OpenAICostLoggerViz\n from openai_cost_logger import OpenAICostLoggerUtils\n from openai_cost_logger import DEFAULT_LOG_PATH, MODELS_COST\n\nKey Features:\n-------------\n* Track the cost of every request you make and save them in a JSON file.\n* Choose the feature you want to track (prompt_tokens, completion_tokens, completion, prompt, etc.).\n* Check the cost of your requests filtering by model or strftime aggregation (see the docs).\n\nModels supported:\n-------------------\n* The response generation is totally up to the user. The library support every model which response contains the fields **usage.prompt_tokens** and **usage.total_tokens** (e.g. chat completions, embeddings, etc.).\n\nNote:\n-----\n* Every cost is specified per **million tokens**.\n* If you don't specify the cost, the library will look to the **MODELS_COST** dictionary and get the cost of the model you are using. Be aware that if the model is not in the dictionary, an exception will be raised.\n\nViz example:\n-------------\n.. image:: images/example.png\n :alt: Viz example (prints + plot)\n :align: center\n\n\n",
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