Name | zenbase JSON |
Version |
0.0.22
JSON |
| download |
home_page | None |
Summary | LLMs made Zen |
upload_time | 2024-11-22 21:29:13 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | None |
keywords |
|
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bugtrack_url |
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requirements |
No requirements were recorded.
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# Zenbase Python SDK
## Installation
<a href="https://pypi.python.org/pypi/zenbase"><img src="https://img.shields.io/pypi/v/zenbase.svg?style=flat-square&label=pypi+zenbase" alt="zenbase Python package on PyPi"></a>
Zenbase requires Python ≥3.10. You can install it using your favorite package manager:
```bash
pip install zenbase
poetry add zenbase
rye add zenbase
```
## Usage
Zenbase is designed to require minimal changes to your existing codebase and integrate seamlessly with your existing eval/observability platforms. It works with any AI SDK (OpenAI, Anthropic, Cohere, Langchain, etc.).
### Labeled Few-Shot Learning Cookbooks:
LabeledFewShot will be useful for tasks that are just one layer of prompts.
| Cookbook | Run in Colab |
|---------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [without_integration.ipynb](cookbooks/labeled_few_shot/json.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/json.ipynb) |
| [langsmith.ipynb](cookbooks/labeled_few_shot/langsmith.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/langsmith.ipynb) |
| [arize.ipynb](cookbooks/labeled_few_shot/arize.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/arize.ipynb) |
| [langfuse.ipynb](cookbooks/labeled_few_shot/langfuse.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/langfuse.ipynb) |
| [parea.ipynb](cookbooks/labeled_few_shot/parea.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/parea.ipynb) |
| [lunary.ipynb](cookbooks/labeled_few_shot/lunary.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/lunary.ipynb) |
### Bootstrap Few-Shot Learning Cookbooks:
BootstrapFewShot will be useful for tasks that are multiple layers of prompts.
| Cookbook | Run in Colab |
|-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [langsmith.ipynb](cookbooks/bootstrap_few_shot/langsmith.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/langsmith.ipynb) |
| [arize.ipynb](cookbooks/bootstrap_few_shot/arize.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/arize.ipynb) |
| [langfuse.ipynb](cookbooks/bootstrap_few_shot/langfuse.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/langfuse.ipynb) |
| [parea.ipynb](cookbooks/bootstrap_few_shot/parea.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/parea.ipynb) |
| [lunary.ipynb](cookbooks/bootstrap_few_shot/lunary.ipynb) | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/lunary.ipynb) |
### Predefined Cookbooks:
| Cookbook | Description | Run in Colab |
|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Single Class Classifier](cookbooks/predefined/single_class_classifier.ipynb) | Basic implementation of a single class classifier | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_classifier.ipynb) |
| [Synthetic Data Generation](cookbooks/predefined/single_class_classifier_syn_data.ipynb) | Generate synthetic data for single class classification | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_classifier_syn_data.ipynb) |
| [Classifier with Synthetic Data](cookbooks/predefined/single_class_clasifier_trained_with_syn_data.ipynb) | Train and test a single class classifier using synthetic data | [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_clasifier_trained_with_syn_data.ipynb) |
## Development setup
This repo uses Python 3.10 and [rye](https://rye.astral.sh/) to manage dependencies. Once you've gotten rye installed, you can install dependencies by running:
```bash
rye sync
```
And activate the virtualenv with:
```bash
. .venv/bin/activate
```
You can run tests with:
```bash
rye test # pytest -sv to see prints and verbose output
rye test -- -m helpers # integration tests with helpers
```
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"description": "# Zenbase Python SDK\n\n## Installation\n\n<a href=\"https://pypi.python.org/pypi/zenbase\"><img src=\"https://img.shields.io/pypi/v/zenbase.svg?style=flat-square&label=pypi+zenbase\" alt=\"zenbase Python package on PyPi\"></a>\n\nZenbase requires Python \u22653.10. You can install it using your favorite package manager:\n\n```bash\npip install zenbase\npoetry add zenbase\nrye add zenbase\n```\n\n## Usage\n\nZenbase is designed to require minimal changes to your existing codebase and integrate seamlessly with your existing eval/observability platforms. It works with any AI SDK (OpenAI, Anthropic, Cohere, Langchain, etc.).\n\n\n### Labeled Few-Shot Learning Cookbooks:\n\nLabeledFewShot will be useful for tasks that are just one layer of prompts.\n\n| Cookbook | Run in Colab |\n|---------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [without_integration.ipynb](cookbooks/labeled_few_shot/json.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/json.ipynb) |\n| [langsmith.ipynb](cookbooks/labeled_few_shot/langsmith.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/langsmith.ipynb) |\n| [arize.ipynb](cookbooks/labeled_few_shot/arize.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/arize.ipynb) |\n| [langfuse.ipynb](cookbooks/labeled_few_shot/langfuse.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/langfuse.ipynb) |\n| [parea.ipynb](cookbooks/labeled_few_shot/parea.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/parea.ipynb) |\n| [lunary.ipynb](cookbooks/labeled_few_shot/lunary.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/labeled_few_shot/lunary.ipynb) |\n\n### Bootstrap Few-Shot Learning Cookbooks:\n\nBootstrapFewShot will be useful for tasks that are multiple layers of prompts.\n\n| Cookbook | Run in Colab |\n|-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [langsmith.ipynb](cookbooks/bootstrap_few_shot/langsmith.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/langsmith.ipynb) |\n| [arize.ipynb](cookbooks/bootstrap_few_shot/arize.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/arize.ipynb) |\n| [langfuse.ipynb](cookbooks/bootstrap_few_shot/langfuse.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/langfuse.ipynb) |\n| [parea.ipynb](cookbooks/bootstrap_few_shot/parea.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/parea.ipynb) |\n| [lunary.ipynb](cookbooks/bootstrap_few_shot/lunary.ipynb) | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/bootstrap_few_shot/lunary.ipynb) |\n\n\n### Predefined Cookbooks:\n\n| Cookbook | Description | Run in Colab |\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Single Class Classifier](cookbooks/predefined/single_class_classifier.ipynb) | Basic implementation of a single class classifier | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_classifier.ipynb) |\n| [Synthetic Data Generation](cookbooks/predefined/single_class_classifier_syn_data.ipynb) | Generate synthetic data for single class classification | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_classifier_syn_data.ipynb) |\n| [Classifier with Synthetic Data](cookbooks/predefined/single_class_clasifier_trained_with_syn_data.ipynb) | Train and test a single class classifier using synthetic data | [<img align=\"center\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" />](https://colab.research.google.com/github/zenbase-ai/core/blob/main/py/cookbooks/predefined/single_class_clasifier_trained_with_syn_data.ipynb) |\n\n\n## Development setup\n\nThis repo uses Python 3.10 and [rye](https://rye.astral.sh/) to manage dependencies. 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