lastmile-ai/aiconfig

Health v2 · maintenance only

Adoption not part of the score

1087 stars · 91 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AIConfig is an open-source framework that manages generative AI prompts, models, and model parameters as JSON-serializable configs, separating AI behavior from application code. It includes Python and Node SDKs plus a VS Code editor extension for prototyping, versioning, and evaluating AI prompts.

Use cases

• manage llm prompts as version-controlled config files
• separate prompt engineering from application code
• prototype and edit ai prompts in vs code
• evaluate and monitor generative ai model parameters
• build production generative ai applications with python or node
• share and iterate on prompt configs across a team

When to choose

• you want prompts and model parameters version controlled separately from code
• you build llm apps in Python or Node.js and need a config-driven workflow
• you want a visual editor for iterating on prompts
• you need reproducible, evaluable generative AI behavior

When to avoid

• you need a full llm observability or tracing platform rather than prompt config management
• your app uses a single hardcoded prompt and simple calls
• you need fine-grained agent orchestration beyond prompt/model config
• you work outside Python and Node.js ecosystems

Facets

framework · maturity active

prompt-engineering llm-inference configuration-management developer-tools sdk large-language-models developer-tools artificial-intelligence python cross-platform editor-plugin llm-ops prompt-management config-as-code generative-ai vscode-extension version-control automation nodejs

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