Skip to main content

ReXia.AI: An advanced AI framework for agentic processes

Project description

ReXia.AI

ReXia.AI is an advanced AI framework designed to integrate various language models, tools, and workflows for complex task solving and analysis. It provides a flexible and extensible platform for building AI-powered applications and agents.

Table of Contents

Features

  • Support for multiple language models (OpenAI, Hugging Face, LLMware)
  • Extensible workflow system
  • Built-in memory management
  • Integration with various external tools and APIs
  • Customizable agents for specific tasks

Installation

To install ReXia.AI, you can use pip:

pip install rexia-ai

Additionally, you need to install either PyTorch or TensorFlow, depending on your preference:

For PyTorch:

pip install torch

For TensorFlow:

pip install tensorflow

Quick Start

Here's a simple example to get you started with ReXia.AI:

from rexia_ai.agent import Agent
from rexia_ai.workflows import SimpleToolWorkflow
from rexia_ai.memory import WorkingMemory
from rexia_ai.llm import RexiaAIOpenAI

# Initialize the language model
llm = RexiaAIOpenAI(
    base_url="https://api.openai.com/v1",
    model="gpt-3.5-turbo",
    temperature=0.7,
    api_key="your-openai-api-key"
)

# Create an Agent instance
agent = Agent(
    llm=llm,
    task="Summarize the latest news on AI advancements",
    workflow=SimpleToolWorkflow,
    memory=WorkingMemory(),
    verbose=True
)

# Run the agent
result = agent.invoke()
print(result)

Documentation

Detailed documentation for each component can be found in the docs folder:

Tools

ReXia.AI comes with several built-in tools:

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

Contact

For any questions, issues, or suggestions, please open an issue on our GitHub repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rexia_ai-0.1.1.tar.gz (26.7 kB view details)

Uploaded Source

Built Distribution

rexia_ai-0.1.1-py3-none-any.whl (38.0 kB view details)

Uploaded Python 3

File details

Details for the file rexia_ai-0.1.1.tar.gz.

File metadata

  • Download URL: rexia_ai-0.1.1.tar.gz
  • Upload date:
  • Size: 26.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for rexia_ai-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f3a1b3e7a04d4996849c2a274bd49d75bf30a905fadabe24286d3a707fd8bba3
MD5 7f8d3abd1d79a07b50c1ee427f067263
BLAKE2b-256 408f8e3bc6f90702f8f3320a9b66f13b93da0538e5ca4292c6ed0bac2f2aa9bf

See more details on using hashes here.

File details

Details for the file rexia_ai-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: rexia_ai-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 38.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for rexia_ai-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 de788b11cf624502d510cae5a4f1e66d55d2c1c0d09439a05f619017185927b4
MD5 ab8c284c66847ca69a156eda882bf708
BLAKE2b-256 5b795faf4401ab2f470c731f6e78627a77b5ab703c556395fb8a40a1542b9658

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page