A pipeline execution framework with MongoDB and ChromaDB integration for AI workflows
Project description
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
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