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
  • 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-0.3.5.5.tar.gz (49.6 kB view details)

Uploaded Source

Built Distribution

rexia_ai-0.3.5.5-py3-none-any.whl (74.5 kB view details)

Uploaded Python 3

File details

Details for the file rexia_ai-0.3.5.5.tar.gz.

File metadata

  • Download URL: rexia_ai-0.3.5.5.tar.gz
  • Upload date:
  • Size: 49.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for rexia_ai-0.3.5.5.tar.gz
Algorithm Hash digest
SHA256 b3885f76b9c0a19eb55dfb45c0b25c2628e943395cb3f8f707a37e19944f42fe
MD5 ef7509944cffbcdb9f876f4bdf91e13f
BLAKE2b-256 0b928655e7a2530e223aa764fe0684716e8963d610ff18015189c5cf1a3fb601

See more details on using hashes here.

File details

Details for the file rexia_ai-0.3.5.5-py3-none-any.whl.

File metadata

  • Download URL: rexia_ai-0.3.5.5-py3-none-any.whl
  • Upload date:
  • Size: 74.5 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-0.3.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b489c75fff01c632f9f0cacabc653eed0ff1bb4f9c5401bd3c2c3ded0f7cc0ef
MD5 d3f9c0c7383d94461c1c15b5f899e42a
BLAKE2b-256 61b55df34ad81430cf094707870472a6cc3a22552c3f94dbb6e0df74ad255ad4

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