contextchain 1.4.6

ContextChain v2.0: Adaptive context optimization framework for LLMs with MongoDB, vector DB, and multi-backend LLM integration

ContextChain

ContextChain is an open-source, pipeline-based execution framework designed to orchestrate AI and full-stack workflows. It enables developers to define, manage, and execute complex task chains with support for various task types (e.g., API calls, local processing, LLM tasks) in a structured and versioned manner. Built with Python, it leverages MongoDB for persistence and provides a command-line interface (CLI) for easy interaction.

Features

• Pipeline Management: Define and execute workflows as pipelines with multiple tasks.
• Task Types: Supports GET, POST, PUT, LLM, and LOCAL task types with configurable inputs and outputs.
• Versioning: Track and rollback schema versions using MongoDB.
• Extensibility: Easily extend with custom task endpoints and configurations.
• CLI Interface: Manage pipelines interactively or via scripts.
• Validation: Ensures schema integrity with built-in validators.

Installation

Via PyPI

ContextChain is available on PyPI. Install it with pip:

pip install contextchain