Milk Infrastructure
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Quick facts
- Starting price
- $0
- Free plan
- Yes
- Pricing
- Free and open source; self-host the gateway and agent, no paid plans.
- Platforms
- Web app, API, Self-hosted
Pricing verified Oct 31, 2026 · Source
Key features of Milk Infrastructure
- OpenAI-compatible gateway Milk Parlor forwards OpenAI SDK calls to your model and saves eligible request-response pairs in the background.
- Traffic-to-training pipeline Saved exchanges are counted, summarized at milestones, and turned into training examples by a teacher model.
- Model training experiments Train an open model (Qwen3.5-0.8B is the first training base) and compare answers, speed, and cost on the same tasks.
- Autonomous agent Milk Man Give Milk Man a goal; it runs commands, starts cloud models, measures results, and keeps learning in sessions.
- Open-source self-hosting Both programs are open source; run the Rust gateway and Bash agent locally or with S3-compatible storage.
Verified Oct 31, 2026 · Source
Who Milk Infrastructure is for
Developers who want an OpenAI-compatible gateway that turns live model traffic into training data.
Teams wanting a managed hosted service; you run the gateway and agent on your own infrastructure.
Screenshots
Milk Infrastructure alternatives
Milk Infrastructure FAQ
How do I connect my app to Milk?
Keep the official OpenAI SDK and change two values: set the base URL to the Milk Parlor endpoint and use your Milk key. Responses and Chat Completions calls stay unchanged.
Where do the models and data live?
Environment variables select local files or S3-compatible storage, managed inference APIs, and owned Baseten or Modal GPUs. Milk Man can run locally while data and compute stay in the cloud.
Does Milk guarantee a better model?
No. Milk keeps the experiment and its result, including failures. The goal is to beat a chosen baseline on your tasks, not to claim a universal ranking.
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