agent composer

Bring the agents you already built under governance without rewriting them.

Waxell Agent Composer adapts your existing agent logic — and new intent — into deployable agents with policies, budgets, and telemetry wired in from the first execution. The source behavior is preserved. The output is governed, testable, and compatible with the Waxell runtime on its first run.

Free to start. 2-line setup.

With it and Without it

WITHOUT IT

You have agent code that works in a notebook. Getting it production-ready means manually wiring policies, retrofitting budget limits, and bolting on telemetry — weeks of governance plumbing per agent, bottlenecked on the one person who knows how the runtime works.

WITH IT

Agent Composer adapts that same logic against your runtime, applying policies, budgets, and telemetry automatically. What comes out is testable and governed on its first run — no rewrite, no translation layer, no specialist bottleneck.


Agent Composer adapts that same logic against your runtime, applying policies, budgets, and telemetry automatically. What comes out is testable and governed on its first run — no rewrite, no translation layer, no specialist bottleneck.

THE PROBLEM

Most teams have agent code they need to govern, not greenfield projects. And most build agents first and figure out governance later — policy assignments added after the fact, budget limits retrofitted, telemetry bolted on. That work concentrates on a handful of specialists, which slows iteration and makes every new use case a return trip to the same person.

What it Produces

Every Agent Composer run outputs a deployable agent wired to the Waxell runtime: code that references the correct tool calls and execution context; governance assignments that apply the relevant policies and budgets from the moment the agent runs; telemetry instrumented at each step; and a test-ready artifact that can be validated in Waxell Testing before it reaches production.


For migrated agents, the process adapts existing behavior against the runtime's governance and execution model. It works from a structured understanding of your tools, policies, and environment — it doesn't guess at how agents should behave, it composes them against the actual constraints of your system.

MIGRATION WITHOUT REWRITE

Existing experimental or production logic is adapted into the Waxell runtime — already compatible, no manual rewrite, no translation layer. Source intent preserved; output governed.


GOVERNED FROM THE FIRST RUN

Every agent inherits policies, budgets, telemetry, and execution constraints automatically. It cannot bypass the governance plane or introduce untracked behavior — so agent creation never becomes a parallel, ungoverned path.

ITERATE, DON'T CONVERT ONCE

Test runs execute against the same runtime used in production, with full telemetry and policy enforcement. Behavior can be inspected, adjusted, and rerun without touching production state.


POLICY A

POLICY B

POLICY C

POLICY D

Designed to scale

Centralized, reference-based policies scale cleanly across workflows, teams, and environments.


They are suitable for systems where execution is continuous, changes are expected, and governance must remain consistent over time.


Policies do not become harder to manage as automation expands. They become more important.

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Get Started

Get Started

Free to start. 2-line setup.

FAQ

What's the difference between Agent Composer and a general AI code generator?

General code generators produce code with no awareness of the runtime it will execute in. Waxell Agent Composer builds against Waxell's specific runtime, tools, governance rules, and execution environment. The output isn't just code — it's an agent already wired to the governance plane, ready to test and deploy without additional configuration.

Can Agent Composer migrate existing agent logic into Waxell?

Yes. Agent Composer takes existing experimental or production agent logic and adapts it to Waxell's execution and governance model. The source intent is preserved. The output is governed, testable, and compatible with the Waxell runtime from its first execution — no manual rewrite required.

Does Agent Composer apply governance automatically?

Yes. Every agent produced or adapted by Agent Composer inherits Waxell's governance plane — policies, budgets, telemetry, and execution constraints — automatically. Agents cannot bypass the governance plane or introduce untracked behavior.

Get Started

Free to start. 2-line setup.

SOC 2 Ready

FAQ

What's the difference between Agent Composer and a general AI code generator?

General code generators produce code with no awareness of the runtime it will execute in. Waxell Agent Composer builds against Waxell's specific runtime, tools, governance rules, and execution environment. The output isn't just code — it's an agent already wired to the governance plane, ready to test and deploy without additional configuration.

Can Agent Composer migrate existing agent logic into Waxell?

Yes. Agent Composer takes existing experimental or production agent logic and adapts it to Waxell's execution and governance model. The source intent is preserved. The output is governed, testable, and compatible with the Waxell runtime from its first execution — no manual rewrite required.

Does Agent Composer apply governance automatically?

Yes. Every agent produced or adapted by Agent Composer inherits Waxell's governance plane — policies, budgets, telemetry, and execution constraints — automatically. Agents cannot bypass the governance plane or introduce untracked behavior.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.