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About
Mirascope
Welcome to Mirascope, which allows you to use any frontier LLM with one unified interface.
Quick Start
Install Mirascope:
uv add "mirascope[all]"Call LLMs with a Decorator
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
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
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.
Monorepo Structure
This project is structured as a monorepo, that conceptually divides into four parts:
python/contains the Python implementation, and examples (inpython/examples)typescript/contains the Typescript implementation, and examples (intypescript/examples)website/contains the marketing website (docs, blog, landing page)docs/contains the unified cross-language documentation (indocs/content), as well as configuration needed to build the docs
For detailed information about the codebase structure, architecture, and design decisions, see `STRUCTURE.md`.
Developing the site
Use bun run website:dev to launch the dev server.
Note that Bun 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.
Don't lose this
Three weeks from now, you'll want Mirascope again. Will you remember where to find it?
Save it to your library and the next time you need Mirascope, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
The LLM Anti-Framework. Best for anyone looking to make their AI assistant more capable in automation. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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