Traffic
Messages, model, app identity, tokens, latency, cost, and completion.
// AI agent observability
See what ran. Understand why. Improve what runs next.
Punk records model traffic, tools, cost, latency, policy decisions, and selected routes as one replayable history. The same evidence can support debugging, evaluation, and carefully gated adaptation.
// one execution story
Follow the request from intent to outcome.
Tools
Declared actions, inputs, outputs, side-effect posture, and approval state.
Routes
The selected path, fallback behavior, and a reason attached to every response.
Outcomes
Feedback and application signals when your system supplies them.
// from traces to adaptation
A dashboard describes. A runtime can act on evidence.
Punk is not positioned as a replacement for every evaluation or monitoring product. It adds an execution layer that can use observed patterns to propose, test, and route through reusable paths.
Observe without changing behavior
The configured provider remains the source of truth while Punk establishes the workload baseline.
Group repeated work
Find request families, stable tool plans, candidate caches, and patterns that should remain live.
Test against history and fresh traffic
Replay and shadow comparison reveal mismatches within a defined scope; they do not prove universal correctness.
Explain the selected route
Eligible requests can use a verified path. Uncertain or ineligible work returns to the live provider.
// choose the right stack
Complement the tools you already trust.
Use observability for
Trace exploration, debugging, evaluation, quality review, and operational monitoring.
Use a gateway for
Provider access, routing, credentials, quotas, retries, and other traffic controls.
Add an adaptive runtime for
Evidence-gated reuse, policy-aware execution, live fallback, and routes that improve from production experience.
Deployment varies by stack. Punk can receive OpenAI-compatible model traffic with an endpoint change. Agent tools, identity, outcomes, and richer governance may require additional integration.
Begin with the truth of your own traffic.
Observe first. Decide what deserves deeper evaluation only after the traces are complete enough to support it.