enhance_llm provides a modular framework for orchestrating large language model calls in defined sequences, allowing developers to chain prompts, integrate external tools or APIs, manage conversational context, and implement conditional logic. It supports multiple LLM providers, custom prompt templates, asynchronous execution, error handling, and memory management. By abstracting the boilerplate of LLM interaction, enhance_llm streamlines the development of agent-like applications—such as automated assistants, data processing bots, and multi-step reasoning systems—making it easier to build, debug, and extend sophisticated workflows.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.00