GoogleModel - Resilient Gemini API Rotation
Automatic failover across multiple Gemini API keys and models to avoid rate limits.
Install
pip install googlemodel
from googlemodel import ChatGoogleGenerativeAI
llm = ChatGoogleGenerativeAI(api_keys=["key1", "key2"])
print(llm.invoke("Hello!"))
python -m gemini_rotator.example_usage --mock
1 maintainer
Release files for googlemodel-samrat-v1 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| googlemodel_samrat_v1-0.1.0.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| googlemodel_samrat_v1-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 kB
Release files / googlemodel_samrat_v1-0.1.0.tar.gz
| Download URL | googlemodel_samrat_v1-0.1.0.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.12.6
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Release files / googlemodel_samrat_v1-0.1.0-py3-none-any.whl
| Download URL | googlemodel_samrat_v1-0.1.0-py3-none-any.whl |
|---|---|
| Size | 1.4 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.6
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