| Name | mirascope JSON |
| Version |
1.9.2
JSON |
| download |
| home_page | None |
| Summary | LLM abstractions that aren't obstructions |
| upload_time | 2024-11-15 15:51:28 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License Copyright (c) 2023 Mirascope, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
agents
anthropic
artificial intelligence
bedrock
cohere
developer tools
gemini
groq
llm
llm tools
mistral
openai
prompt engineering
pydantic
vertex
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<div align="center" justiry="start">
<a href="https://mirascope.com">
<img align="bottom" src="https://github.com/Mirascope/mirascope/assets/99370834/e403d7ee-f8bc-4df1-b2d0-33763f021c89" alt="Frog Logo" width="84"/><br><img align="bottom" src="https://uploads-ssl.webflow.com/65a6fd6a1c3b2704d6217d3d/65b5674e9ceef563dc57eb11_Medium%20length%20hero%20headline%20goes%20here.svg" width="400" alt="Mirascope"/>
</a>
</div>
<p align="center">
<a href="https://github.com/Mirascope/mirascope/actions/workflows/tests.yml" target="_blank"><img src="https://github.com/Mirascope/mirascope/actions/workflows/tests.yml/badge.svg?branch=main" alt="Tests"/></a>
<a href="https://codecov.io/github/Mirascope/mirascope" target="_blank"><img src="https://codecov.io/github/Mirascope/mirascope/graph/badge.svg?token=HAEAWT3KC9" alt="Coverage"/></a>
<a href="https://mirascope.com/WELCOME" target="_blank"><img src="https://img.shields.io/badge/docs-available-brightgreen" alt="Docs"/></a>
<a href="https://pypi.python.org/pypi/mirascope" target="_blank"><img src="https://img.shields.io/pypi/v/mirascope.svg" alt="PyPI Version"/></a>
<a href="https://pypi.python.org/pypi/mirascope" target="_blank"><img src="https://img.shields.io/pypi/pyversions/mirascope.svg" alt="Stars"/></a>
<a href="https://github.com/Mirascope/mirascope/blog/dev/LICENSE"><img src="https://img.shields.io/github/license/Mirascope/mirascope.svg" alt="License"/></a>
<a href="https://github.com/Mirascope/mirascope/stargazers" target="_blank"><img src="https://img.shields.io/github/stars/Mirascope/mirascope.svg" alt="Stars"/></a>
</p>
---
Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including [OpenAI](https://openai.com/), [Anthropic](https://www.anthropic.com/), [Mistral](https://mistral.ai/), [Gemini](https://gemini.google.com), [Groq](https://groq.com/), [Cohere](https://cohere.com/), [LiteLLM](https://www.litellm.ai/), [Azure AI](https://azure.microsoft.com/en-us/solutions/ai), [Vertex AI](https://cloud.google.com/vertex-ai), and [Bedrock](https://aws.amazon.com/bedrock/).
Whether you're generating text, extracting structured information, or developing complex AI-driven agent systems, Mirascope provides the tools you need to streamline your development process and create powerful, robust applications.
## 30 Second Quickstart
Install Mirascope, specifying the provider(s) you intend to use, and set your API key:
```bash
pip install "mirascope[openai]"
export OPENAI_API_KEY=XXXXX
```
Make your first call to an LLM to extract the title and author of a book from unstructured text:
```python
from mirascope.core import openai
from pydantic import BaseModel
class Book(BaseModel):
title: str
author: str
@openai.call("gpt-4o-mini", response_model=Book)
def extract_book(text: str) -> str:
return f"Extract {text}"
book = extract_book("The Name of the Wind by Patrick Rothfuss")
assert isinstance(book, Book)
print(book)
# Output: title='The Name of the Wind' author='Patrick Rothfuss'
```
## Tutorials
Check out our [quickstart tutorial](https://mirascope.com/tutorials/getting_started/quickstart) and many other tutorials for an interactive way to getting started with Mirascope.
## Usage
For a complete guide on how to use all of the various features Mirascope has to offer, read through our [Learn](https://mirascope.com/learn) documentation.
## Versioning
Mirascope uses [Semantic Versioning](https://semver.org/).
## Licence
This project is licensed under the terms of the [MIT License](https://github.com/Mirascope/mirascope/blob/dev/LICENSE).
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"description": "<div align=\"center\" justiry=\"start\">\n <a href=\"https://mirascope.com\">\n <img align=\"bottom\" src=\"https://github.com/Mirascope/mirascope/assets/99370834/e403d7ee-f8bc-4df1-b2d0-33763f021c89\" alt=\"Frog Logo\" width=\"84\"/><br><img align=\"bottom\" src=\"https://uploads-ssl.webflow.com/65a6fd6a1c3b2704d6217d3d/65b5674e9ceef563dc57eb11_Medium%20length%20hero%20headline%20goes%20here.svg\" width=\"400\" alt=\"Mirascope\"/>\n </a>\n</div>\n\n<p align=\"center\">\n <a href=\"https://github.com/Mirascope/mirascope/actions/workflows/tests.yml\" target=\"_blank\"><img src=\"https://github.com/Mirascope/mirascope/actions/workflows/tests.yml/badge.svg?branch=main\" alt=\"Tests\"/></a>\n <a href=\"https://codecov.io/github/Mirascope/mirascope\" target=\"_blank\"><img src=\"https://codecov.io/github/Mirascope/mirascope/graph/badge.svg?token=HAEAWT3KC9\" alt=\"Coverage\"/></a>\n <a href=\"https://mirascope.com/WELCOME\" target=\"_blank\"><img src=\"https://img.shields.io/badge/docs-available-brightgreen\" alt=\"Docs\"/></a>\n <a href=\"https://pypi.python.org/pypi/mirascope\" target=\"_blank\"><img src=\"https://img.shields.io/pypi/v/mirascope.svg\" alt=\"PyPI Version\"/></a>\n <a href=\"https://pypi.python.org/pypi/mirascope\" target=\"_blank\"><img src=\"https://img.shields.io/pypi/pyversions/mirascope.svg\" alt=\"Stars\"/></a>\n <a href=\"https://github.com/Mirascope/mirascope/blog/dev/LICENSE\"><img src=\"https://img.shields.io/github/license/Mirascope/mirascope.svg\" alt=\"License\"/></a>\n <a href=\"https://github.com/Mirascope/mirascope/stargazers\" target=\"_blank\"><img src=\"https://img.shields.io/github/stars/Mirascope/mirascope.svg\" alt=\"Stars\"/></a>\n</p>\n\n---\n\nMirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including [OpenAI](https://openai.com/), [Anthropic](https://www.anthropic.com/), [Mistral](https://mistral.ai/), [Gemini](https://gemini.google.com), [Groq](https://groq.com/), [Cohere](https://cohere.com/), [LiteLLM](https://www.litellm.ai/), [Azure AI](https://azure.microsoft.com/en-us/solutions/ai), [Vertex AI](https://cloud.google.com/vertex-ai), and [Bedrock](https://aws.amazon.com/bedrock/).\n\nWhether you're generating text, extracting structured information, or developing complex AI-driven agent systems, Mirascope provides the tools you need to streamline your development process and create powerful, robust applications.\n\n## 30 Second Quickstart\n\nInstall Mirascope, specifying the provider(s) you intend to use, and set your API key:\n\n```bash\npip install \"mirascope[openai]\"\nexport OPENAI_API_KEY=XXXXX\n```\n\nMake your first call to an LLM to extract the title and author of a book from unstructured text:\n\n```python\nfrom mirascope.core import openai\nfrom pydantic import BaseModel\n\nclass Book(BaseModel):\n title: str\n author: str\n\n@openai.call(\"gpt-4o-mini\", response_model=Book)\ndef extract_book(text: str) -> str:\n return f\"Extract {text}\"\n\nbook = extract_book(\"The Name of the Wind by Patrick Rothfuss\")\nassert isinstance(book, Book)\nprint(book)\n# Output: title='The Name of the Wind' author='Patrick Rothfuss'\n```\n\n## Tutorials\n\nCheck out our [quickstart tutorial](https://mirascope.com/tutorials/getting_started/quickstart) and many other tutorials for an interactive way to getting started with Mirascope.\n\n## Usage\n\nFor a complete guide on how to use all of the various features Mirascope has to offer, read through our [Learn](https://mirascope.com/learn) documentation.\n\n## Versioning\n\nMirascope uses\u00a0[Semantic Versioning](https://semver.org/).\n\n## Licence\n\nThis project is licensed under the terms of the\u00a0[MIT License](https://github.com/Mirascope/mirascope/blob/dev/LICENSE).\n",
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