milkinfrastructure.com

Point OpenAI at Milk.

Keep the official SDK and your existing calls. Change two values.

.env
  # connect the OpenAI SDK to Milk Parlor
+ OPENAI_BASE_URL=https://parlor.milkinfrastructure.com/v1
+ OPENAI_API_KEY=<your Milk key>
  # Responses and Chat Completions stay unchanged
ready official OpenAI SDK
your appMilk Parloryour model
└─ selected completed request + answerobject storeMilk Man / model tests + training

after the answer

Milk turns completed traffic into a reviewed model change.

Parlor serves the request first. Later, Milk Man reads selected completed conversations from object storage and runs one named job at a time.

  1. 01collectSave the completed request and answer.
  2. 02understandSummarize new traffic at each threshold.
  3. 03make testsTurn selected conversations into structured cases.
  4. 04train + compareTrain Qwen3.5-0.8B and compare versions.
  5. 05review routePrepare a change for a person to approve.

Nothing ready? Milk Man exits without calling a model or GPU. It never approves its own route.

one local view

See what Milk is doing.

These screens show a mechanics run using generated traffic. They are not customer data or current provider status.

Milk Man dashboard showing connection setup, live status, and the next job
01 / connect + statusConnection setup, gateway and storage status, and the next job.
Milk Man dashboard showing each step from captured traffic to a route proposal
02 / follow the loopEach step from captured conversations to a person-reviewed route.
Milk Man dashboard conversation and command output
03 / give one taskOne supervised instruction, its answer, and exact work details.
Milk Man dashboard showing a saved traffic summary
04 / read a checkpointVolume, quality, topics, outcomes, and response speed.