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LLM Workflow Engine is an open-source command-line framework designed to integrate large language models into automated workflows and developer environments. The platform allows users to interact with AI models directly from the terminal, enabling conversational AI access through shell commands and scripts. Instead of focusing solely on chat interactions, the system is built to embed LLM calls into larger automation pipelines where model outputs can drive decision making or trigger additional processes. Developers can construct structured workflows using configuration files and integrate them with tools such as Ansible playbooks or custom scripts to automate complex tasks. The engine supports multiple AI providers through a plugin architecture, allowing connections to services like OpenAI, Hugging Face, Cohere, or other compatible APIs.
Features
- Command-line interface for interacting with large language models
- Workflow automation that integrates LLM calls into scripts and pipelines
- Plugin architecture supporting multiple model providers
- Integration with configuration-driven workflows and templates
- Python API for embedding LLM functionality into applications
- Docker deployment options for reproducible environments
Project Samples
