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This repository includes base classes and mixins for the Swarmauri framework.

Project description

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Swarmauri Base

Getting Started

Installing Swarmauri Base from pypi

To start developing with the Core Library, include it as a module in your Python project. Ensure you have Python 3.10 or later installed.

pip install swarmauri-base

Example Usage:

# Example of using the base class
from swarmauri_base.llms.LLMBase import LLMBase

class MyConcreteClass(LLMBase):
    
    pass

Features

agents

chains

chunkers

control_panels

conversations

dataconnectors

distances

documents

document_stores

embeddings

factories

image_gens

llms

  • LLMBase.py: Base class for large language models.

logging

measurements

messages

ocrs

parsers

pipelines

prompts

prompt_templates

schema_converters

service_registries

state

stt

  • STTBase.py: Base class for speech-to-text functionalities.

swarms

task_mgmt_strategies

toolkits

tool_llms

tools

transports

tts

  • TTSBase.py: Base class for text-to-speech functionalities.

vectors

vector_stores

vlms

  • VLMBase.py: Base class for visual language models.

Contributing

Contributions are welcome! If you'd like to add a new feature, fix a bug, or improve documentation, kindly go through the contributions guidelines first.

Project details


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