AGENTS / GITHUB / mirascope
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mirascope

provenance:github:Mirascope/mirascope
WHAT THIS AGENT DOES

Mirascope is a tool that lets you easily use powerful AI language models, like the ones that write articles or answer complex questions. It simplifies working with these models, allowing businesses to integrate them into their workflows without needing specialized AI expertise. This is helpful for anyone looking to automate tasks like content creation, customer service, or data analysis using the latest AI technology.

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<p align="center">
    <a href="https://mirascope.com/#mirascope">
        <img src="https://mirascope.com/icons/logo-with-text.png" />
    </a>
</p>

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---

## Mirascope 

Welcome to Mirascope, which allows you to use any frontier LLM with one unified interface.

## Quick Start

Install Mirascope:

```bash
uv add "mirascope[all]"
```

### Call LLMs with a Decorator

```python
from mirascope import llm


@llm.call("anthropic/claude-sonnet-4-5")
def recommend_book(genre: str):
    return f"Recommend a {genre} book."


response = recommend_book("fantasy")
print(response.text())
```

### Get Structured Output

```python
from pydantic import BaseModel
from mirascope import llm


class Book(BaseModel):
    title: str
    author: str


@llm.call("anthropic/claude-sonnet-4-5", format=Book)
def recommend_book(genre: str):
    return f"Recommend a {genre} book."


book = recommend_book("fantasy").parse()
print(f"{book.title} by {book.author}")
```

### Build an Agent with Tools

```python
from pydantic import BaseModel
from mirascope import llm


class Book(BaseModel):
    title: str
    author: str


@llm.tool
def get_available_books(genre: str) -> list[Book]:
    """Get available books in the library by genre."""
    return [Book(title="The Name of the Wind", author="Patrick Rothfuss")]


@llm.call("anthropic/claude-sonnet-4-5", tools=[get_available_books], format=Book)
def librarian(request: str):
    return f"You are a librarian. Help the user: {request}"


response = librarian("I want a fantasy book")
while response.tool_calls:
    response = response.resume(response.execute_tools())
book = response.parse()
print(f"Recommending: {book.title} by {book.author}")
```

For streaming, async, multi-turn conversations, and more, see the [full documentation](https://mirascope.com/docs).

## Monorepo Structure

This project is structured as a monorepo, that conceptually divides into four parts:

- `python/` contains the Python implementation, and examples (in `python/examples`)
- `typescript/` contains the Typescript implementation, and examples (in `typescript/examples`)
- `website/` contains the marketing website (docs, blog, landing page)
- `docs/` contains the unified cross-language documentation (in `docs/content`), as well as configuration needed to build the docs

For detailed information about the codebase structure, architecture, and design decisions, see [`STRUCTURE.md`](STRUCTURE.md).

## Developing the site

Use `bun run website:dev` to launch the dev server.

Note that [Bun](http://bun.sh/) must be installed.

## CI and local testing

We currently have four CI jobs:
- codespell: Checks for common misspellings including python, typescript, and docs repos
- python-lint: Linting and typechecking for Python code
- typescript-lint: Linting and typechecking for Typescript code
- cloudflare docs build: Builds and previews the documentation site

You can run `bun run ci` in the root directory to run all CI checks locally. If adding new checks to GitHub CI, please also add it to the ci script in root `package.json` as well.

## Versioning

Mirascope uses [Semantic Versioning](https://semver.org/).

## License

This project is licensed under the [MIT License](https://github.com/Mirascope/mirascope/tree/main/LICENSE).

PUBLIC HISTORY

First discoveredMar 21, 2026

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