# Lasagna AI
[](https://pypi.org/project/lasagna-ai)
[](https://pypi.org/project/lasagna-ai)
[](https://pepy.tech/project/lasagna-ai)
- 📚 **Official Docs:** [https://lasagna-ai.rhobota.com/](https://lasagna-ai.rhobota.com/)
- 🥞 **Layered agents!**
- Agents for your agents!
- Tool-use, structured output ("extraction"), and layering FTW 💪
- Ever wanted a _recursive_ agent? Now you can have one! 🤯
- _Parallel_ tool-calling by default.
- Fully asyncio.
- 100% Python type hints.
- Functional-style 😎
- (optional) Easy & pluggable caching! 🏦
- 🚣 **Streamable!**
- Event streams for _everything_.
- Asyncio generators are awesome.
- 🗃️ **Easy database integration!**
- Don't rage when trying to store raw messages and token counts. 😡 🤬
- Yes, you _can_ have _both_ streaming and easy database storage.
- ↔️ **Provider/model agnostic and interoperable!**
- Core support for [OpenAI](https://platform.openai.com/docs/models), [Anthropic](https://docs.anthropic.com/en/docs/welcome), and [AWS Bedrock](https://docs.aws.amazon.com/bedrock/).
- Experimental support for [Ollama](https://ollama.com/search) and [NVIDIA NIM/NGC](https://build.nvidia.com/explore/reasoning).
- Message representations are canonized. 😇
- Supports vision!
- Easily build committees!
- Swap providers or models mid-conversation.
- Delegate tasks among model providers or model sizes.
- Parallelize all the things.
-----
## Table of Contents
- [Installation](#installation)
- [Used By](#used-by)
- [Debug Logging](#debug-logging)
- [Special Thanks](#special-thanks)
- [License](#license)
## Installation
```console
pip install -U lasagna-ai[openai,anthropic,bedrock]
```
If you want to easily run all the [./examples](./examples), then you can
install the extra dependencies used by those examples:
```console
pip install -U lasagna-ai[openai,anthropic,bedrock,example-deps]
```
## Used By
Lasagna AI is used in production by:
[](https://www.autoauto.ai/)
## Debug Logging
This library logs using Python's builtin `logging` module. It logs mostly to `INFO`, so here's a snippet of code you can put in _your_ app to see those traces:
```python
import logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
)
# ... now use Lasagna as you normally would, but you'll see extra log traces!
```
## Special Thanks
Special thanks to those who inspired this library:
- Numa Dhamani (buy her book: [Introduction to Generative AI](https://a.co/d/03dHnRmX))
- Dave DeCaprio's [voice-stream library](https://github.com/DaveDeCaprio/voice-stream)
## License
`lasagna-ai` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
## Joke Acronym
Layered Agents with toolS And aGeNts and Ai
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"description": "\n\n# Lasagna AI\n\n[](https://pypi.org/project/lasagna-ai)\n[](https://pypi.org/project/lasagna-ai)\n\n[](https://pepy.tech/project/lasagna-ai)\n\n- \ud83d\udcda **Official Docs:** [https://lasagna-ai.rhobota.com/](https://lasagna-ai.rhobota.com/)\n\n- \ud83e\udd5e **Layered agents!**\n - Agents for your agents!\n - Tool-use, structured output (\"extraction\"), and layering FTW \ud83d\udcaa\n - Ever wanted a _recursive_ agent? Now you can have one! \ud83e\udd2f\n - _Parallel_ tool-calling by default.\n - Fully asyncio.\n - 100% Python type hints.\n - Functional-style \ud83d\ude0e\n - (optional) Easy & pluggable caching! \ud83c\udfe6\n\n- \ud83d\udea3 **Streamable!**\n - Event streams for _everything_.\n - Asyncio generators are awesome.\n\n- \ud83d\uddc3\ufe0f **Easy database integration!**\n - Don't rage when trying to store raw messages and token counts. \ud83d\ude21 \ud83e\udd2c\n - Yes, you _can_ have _both_ streaming and easy database storage.\n\n- \u2194\ufe0f **Provider/model agnostic and interoperable!**\n - Core support for [OpenAI](https://platform.openai.com/docs/models), [Anthropic](https://docs.anthropic.com/en/docs/welcome), and [AWS Bedrock](https://docs.aws.amazon.com/bedrock/).\n - Experimental support for [Ollama](https://ollama.com/search) and [NVIDIA NIM/NGC](https://build.nvidia.com/explore/reasoning).\n - Message representations are canonized. \ud83d\ude07\n - Supports vision!\n - Easily build committees!\n - Swap providers or models mid-conversation.\n - Delegate tasks among model providers or model sizes.\n - Parallelize all the things.\n\n-----\n\n## Table of Contents\n\n- [Installation](#installation)\n- [Used By](#used-by)\n- [Debug Logging](#debug-logging)\n- [Special Thanks](#special-thanks)\n- [License](#license)\n\n## Installation\n\n```console\npip install -U lasagna-ai[openai,anthropic,bedrock]\n```\n\nIf you want to easily run all the [./examples](./examples), then you can\ninstall the extra dependencies used by those examples:\n\n```console\npip install -U lasagna-ai[openai,anthropic,bedrock,example-deps]\n```\n\n## Used By\n\nLasagna AI is used in production by:\n\n[](https://www.autoauto.ai/)\n\n## Debug Logging\n\nThis library logs using Python's builtin `logging` module. It logs mostly to `INFO`, so here's a snippet of code you can put in _your_ app to see those traces:\n\n```python\nimport logging\n\nlogging.basicConfig(\n level=logging.INFO,\n format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',\n)\n\n# ... now use Lasagna as you normally would, but you'll see extra log traces!\n```\n\n## Special Thanks\n\nSpecial thanks to those who inspired this library:\n- Numa Dhamani (buy her book: [Introduction to Generative AI](https://a.co/d/03dHnRmX))\n- Dave DeCaprio's [voice-stream library](https://github.com/DaveDeCaprio/voice-stream)\n\n## License\n\n`lasagna-ai` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.\n\n## Joke Acronym\n\nLayered Agents with toolS And aGeNts and Ai\n",
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