OpenAI Cost Logger
Project description
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.
Demo file with a usage example.
How to install:
pip install openai-cost-logger
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:
Project details
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