SpendLens
Track your OpenAI costs by user, feature, and endpoint. Two-line integration.
Install
pip install spendlens
Usage
from spendlens import SpendLensClient
client = SpendLensClient(api_key="your-spendlens-api-key")
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello"}],
tags={"user_id": "u_123", "feature": "chat", "endpoint": "/api/chat"},
)
Your costs appear on the dashboard. That's it.
- Never logs prompts or completions. Only metadata.
- Never modifies the OpenAI response.
- Never adds latency. Logging is async.
1 maintainer
Metadata
1 maintainer
Release files for spendlens 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| spendlens-0.1.0.tar.gz | 2.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spendlens-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.6 kB
Release files / spendlens-0.1.0.tar.gz
| Download URL | spendlens-0.1.0.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|
Release files / spendlens-0.1.0-py3-none-any.whl
| Download URL | spendlens-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|
Security for spendlens 0.1.0
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