FAAAH released: turn agent subscriptions into an OpenAI-compatible API
Understand this story
Developer sebastiancarlos has released FAAAH, a zero-dependency OpenAI-compatible LLM proxy: it writes requests as .txt files for AI coding agents such as Claude Code and opencode to process, then packages the replies as OpenAI-format JSON and returns them, thereby letting users reuse their existing AI agent subscriptions as a general-purpose OpenAI-compatible local server. sebastiancarlos says that, to his understanding, local, non-commercial use of the tool does not violate any AI agent provider's existing terms of service; he also cautions against using FAAAH to process large-scale datasets.
AI overview based on source reports · Updated 19 hr ago
Coverage timeline
Follow the coverage to explore different perspectives.
- Hacker News AIFaaah (Filesystem as an AI Handler) – Agent Subscription as OpenAI API via Files
FAAAH is a dependency-free, 308-line Python proxy that turns an OpenAI-compatible endpoint into a plain-text file protocol: it writes incoming requests to prompt-<id>.txt files in a queue directory, and an existing AI coding agent (e.g. Claude Code, opencode) reads them and writes responses to response-<id>.txt files, which FAAAH packages back into OpenAI-compatible JSON. It supports the OpenAI tools parameter with multi-turn tool loops, optional local embeddings via a uv extra, and a human-in-the-loop fallback where you can type the answer yourself; streaming is not supported. The author frames it as reusing an AI agent subscription for weekend side projects and notes caution about massive datasets and provider ToS.
Activity for this story
- Current comparable activity
- 6
- Peak comparable activity
- 10Nov 5 19:00
- Change in the past 24 hours
- –
Trends compare the same fully observed participants, which may cover fewer participants than current activity. Move the pointer or tap the chart to inspect hourly activity; use the left and right arrow keys with a keyboard.