# Ragbits Core
Ragbits Core is a collection of utilities and tools that are used across all Ragbits packages. It includes fundamentals, such as utilities for logging, configuration, prompt creation, classes for comunicating with LLMs, embedders, vector stores, and more.
## Installation
```sh
pip install ragbits-core
```
## Quick Start
```python
from pydantic import BaseModel
from ragbits.core.prompt import Prompt
from ragbits.core.llms.litellm import LiteLLM
class Dog(BaseModel):
breed: str
age: int
temperament: str
class DogNamePrompt(Prompt[Dog, str]):
system_prompt = """
You are a dog name generator. You come up with funny names for dogs given the dog details.
"""
user_prompt = """
The dog is a {breed} breed, {age} years old, and has a {temperament} temperament.
"""
async def main() -> None:
llm = LiteLLM("gpt-4o")
dog = Dog(breed="Golden Retriever", age=3, temperament="friendly")
prompt = DogNamePrompt(dog)
response = await llm.generate(prompt)
print(response)
if __name__ == "__main__":
asyncio.run(main())
```
## Documentation
* [Quickstart 1: Working with Prompts and LLMs](https://ragbits.deepsense.ai/quickstart/quickstart1_prompts/)
* [How-To Guides - Core](https://ragbits.deepsense.ai/how-to/prompts/use_prompting/)
* [API Reference - Core](https://ragbits.deepsense.ai/api_reference/core/prompt/)
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"description": "# Ragbits Core\n\nRagbits Core is a collection of utilities and tools that are used across all Ragbits packages. It includes fundamentals, such as utilities for logging, configuration, prompt creation, classes for comunicating with LLMs, embedders, vector stores, and more.\n\n## Installation\n\n```sh\npip install ragbits-core\n```\n\n## Quick Start\n\n```python\nfrom pydantic import BaseModel\nfrom ragbits.core.prompt import Prompt\nfrom ragbits.core.llms.litellm import LiteLLM\n\n\nclass Dog(BaseModel):\n breed: str\n age: int\n temperament: str\n\nclass DogNamePrompt(Prompt[Dog, str]):\n system_prompt = \"\"\"\n You are a dog name generator. You come up with funny names for dogs given the dog details.\n \"\"\"\n\n user_prompt = \"\"\"\n The dog is a {breed} breed, {age} years old, and has a {temperament} temperament.\n \"\"\"\n\nasync def main() -> None:\n llm = LiteLLM(\"gpt-4o\")\n dog = Dog(breed=\"Golden Retriever\", age=3, temperament=\"friendly\")\n prompt = DogNamePrompt(dog)\n response = await llm.generate(prompt)\n print(response)\n\n\nif __name__ == \"__main__\":\n asyncio.run(main())\n```\n\n## Documentation\n* [Quickstart 1: Working with Prompts and LLMs](https://ragbits.deepsense.ai/quickstart/quickstart1_prompts/)\n* [How-To Guides - Core](https://ragbits.deepsense.ai/how-to/prompts/use_prompting/)\n* [API Reference - Core](https://ragbits.deepsense.ai/api_reference/core/prompt/)\n",
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