michaelachmann/gpt-cost-estimator
A cost estimator for OpenAI API calls in tqdm loops.
Wraps OpenAI API calls as a decorator to track input/output token counts using `tiktoken` and calculate per-request costs in real-time within `tqdm` progress bars. Supports mock responses for cost estimation without API calls, model name aliases, and custom pricing overrides. Designed for Jupyter notebooks with a simple API: decorate your OpenAI function, iterate with `tqdm`, then call `CostEstimator.get_total_cost()` to retrieve accumulated expenses.
No commits in the last 6 months. Available on PyPI.
Stars
20
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 25, 2024
Monthly downloads
134
Commits (30d)
0
Dependencies
4
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