Awesome Infra for AI › Prompt Management

lastmile-ai/aiconfig

⭐ 1090 Python repository created 2023-09-01

AIConfig is a framework designed to streamline the development of production-grade generative AI applications. It achieves this by separating generative AI prompts, models, and model parameters from application code, storing them as JSON-serializable configurations. This approach enables version control, evaluation, and monitoring of AI behavior independently. The framework includes an AIConfig Editor, available as a VS Code extension or a local web-based tool, for rapid prototyping, visual editing, and running of prompts with complex chaining and variables. AIConfig offers Python and Node.js SDKs for integrating these configurations into application code, supporting multimodal and model-agnostic extensible APIs. Its core value proposition lies in simplifying application code by externalizing prompt logic, fostering quicker iteration on prompts, and facilitating collaborative development by treating the `aiconfig` as a shareable AI artifact. This separation helps to unwind complexity, making it easier to iterate on prompts, try different models, and evaluate prompt/model performance. Key features include a standardized JSON format for prompts, an intuitive editor, model-agnostic and multimodal SDKs, extensibility for custom models and endpoints, and support for collaborative development workflows. It is particularly useful for managing complex prompt chains, integrating various models, and advanced generative AI workflows.

https://github.com/lastmile-ai/aiconfig

aideveloper-toolsgenerative-aillmllm-opsprompt managementconfigurationworkflowversion controlevaluation