PUNK

// OpenAI-compatible integration

Stop paying models to repeat proven work.

Connect compatible requests to Punk. It finds repeated tasks, tests whether a proven result can safely serve them, and keeps new or uncertain work with your original model.

Find what your agents can reuseSee a real example

Compatibility applies to supported model API traffic. Tool execution, application identity, outcomes, and provider-specific features should be verified for your implementation.

// first connection

Begin with a narrow, reversible change.

  1. Create a Punk account

    Generate a key and choose the environment where you want to establish a baseline.

  2. Change the compatible base URL

    Keep your existing request shape where supported and send a small test workload first.

  3. Confirm identity and traces

    Verify app context, messages, model, tokens, cost, latency, and route explanations before expanding traffic.

  4. Stay observe-only

    Collect representative evidence before evaluating caches, workflows, substitutions, or any serving change.

// from traffic to savings

Find repetition first. Change the path only after proof.

Punk learns from compatible traffic, tests candidate reuse against past and current work, and serves a reusable path only when it remains eligible. Otherwise, the original model responds.

Observe

Request, response, token, cost, latency, identity, and route context.

Govern

Policy evaluation and conservative handling for declared agent actions.

Adapt

Evidence-gated caches, plans, declarative workflows, or model routes where justified.

Limitations: exact API coverage varies. Test streaming, structured outputs, tool calls, multimodal inputs, provider-specific options, and error behavior before routing production traffic.

Find the repeated work in one workload.

Start with a representative task. Punk will show what repeats before you decide whether anything should change.

Find what your agents can reuseSee a real example