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-0.3.5.1.tar.gz (51.0 kB view details)

Uploaded Source

Built Distribution

rexia_ai-0.3.5.1-py3-none-any.whl (76.2 kB view details)

Uploaded Python 3

File details

Details for the file rexia_ai-0.3.5.1.tar.gz.

File metadata

  • Download URL: rexia_ai-0.3.5.1.tar.gz
  • Upload date:
  • Size: 51.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for rexia_ai-0.3.5.1.tar.gz
Algorithm Hash digest
SHA256 6f294c67c831772a642d6c0b787797f5409321259187255eac01acef95635705
MD5 e81b42c9f3355ef70c398f0e32c05680
BLAKE2b-256 9067b7c881088774c94b5e4a71de61b7b4c86b2eca1f384715f08cee7d9ac16f

See more details on using hashes here.

File details

Details for the file rexia_ai-0.3.5.1-py3-none-any.whl.

File metadata

  • Download URL: rexia_ai-0.3.5.1-py3-none-any.whl
  • Upload date:
  • Size: 76.2 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-0.3.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 84f8633a884121987954332d25e0010a92deca8296ca210a012989b5f93bd461
MD5 8c102e5eacd58187e4f3785e00cf88fc
BLAKE2b-256 dfa7101b2bd2882d1413ac6021901af6f327f71d173a53e95aae3632e03ec1ef

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