agent composer

Building agents as a system capability

Waxell Agent Composer is a development capability for building and migrating AI agents inside a governed runtime — it takes developer intent or existing agent logic and produces deployable agents with policies, budgets, and telemetry applied from the first execution.


It is not a novelty generator and not a templating tool. It is a development capability that writes agent code against Waxell's runtime, governance, and execution model.


This makes agent creation a first-class, auditable part of the system rather than an informal development step.

Free during beta. 2-line setup.

Why does AI agent development become a bottleneck?

Why does AI agent development become a bottleneck?

Why does AI agent development become a bottleneck?

As organizations adopt agentic systems, building agents becomes an operational constraint.


Most teams rely on a small number of specialists to design, code, test, deploy, and maintain agents. Migrating existing agents into a governed runtime often requires even more manual effort.


This slows iteration, concentrates risk, and makes scaling autonomy dependent on human throughput.

From intent or existing logic to deployable agents

The Agent Composer takes high-level intent or existing agent logic and turns it into a concrete, deployable agent inside Waxell.


It works from a structured understanding of your runtime, available tools, governance rules, and execution environment. It does not guess at how agents should behave. It composes them against the actual constraints of your system.


The result is an agent that can be tested locally, deployed to the Waxell runtime, and governed from its first execution. This makes agent development an infrastructure capability rather than a fragile, one-off engineering effort.

What does the Waxell Agent Composer produce?

The output of every Agent Composer run is a deployable agent wired to Waxell's runtime.


That means: 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 execution step; and a test-ready artifact that can be validated in Waxell Testing before it reaches production.


For agents being migrated from existing logic, the process adapts their behavior against Waxell's governance and execution model. The source intent is preserved. The output is governed.

Most teams build agents first and figure out governance later — policy assignments added after the fact, budget limits retrofitted, telemetry bolted on. Agent Composer doesn't work that way. The governance is wired in from the start. What comes out is already testable, already governed, already production-ready.

Built for Waxell’s runtime

Built for Waxell’s runtime

The Agent Composer operates entirely within Waxell's runtime.


It builds new agents and adapts existing experimental logic into Waxell's execution and governance model. It understands which tools exist, what context is available, and what policies apply within that runtime.


Agents entering production through Agent Composer are already compatible with Waxell's environment — no manual rewrite, no translation layer.

Integrated testing and iteration

Every agent produced or adapted by the Agent Composer can be tested before it reaches production.


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


This makes agent creation and migration an iterative, observable process rather than a one-time conversion step.

Integrated testing and iteration

Every agent produced or adapted by the Agent Composer can be tested before it reaches production.


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


This makes agent creation and migration an iterative, observable process rather than a one-time conversion step.

How does Waxell Agent Composer apply governance?

How does Waxell Agent Composer apply governance?

How does Waxell Agent Composer apply governance?

Agents created or onboarded by the Agent Composer are governed from their first execution.


They inherit policies, budgets, telemetry, and execution constraints automatically. They cannot bypass the governance plane or introduce untracked behavior.


This prevents agent creation from becoming a parallel, ungoverned development path and keeps all autonomy inside a single control system.

Governance by default

Agents created or onboarded by the Agent Composer are governed from their first execution.


They inherit policies, budgets, telemetry, and execution constraints automatically. They cannot bypass the governance plane or introduce untracked behavior.


This prevents agent creation from becoming a parallel, ungoverned development path and keeps all autonomy inside a single control system.

Designed for developer-led workflows

The Agent Composer is for developers who are building and evolving agent systems.


It allows developers to define intent, iterate on logic, and compose agents into structured workflows while staying inside a governed runtime. The system handles code generation, configuration, and wiring — developers define the intent and logic.


This keeps agent development fast and repeatable without turning production systems into ad hoc experiments.

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.

CallSine automatically finds and researches each prospect by analyzing their website, LinkedIn profile, and company information. Get comprehensive insights instantly without spending hours on manual research. It even works with your existing database.

From here

Waxell is available now.


Install the SDK, connect to your instance, and start capturing what your agents actually do. Governance, policy enforcement, cost tracking, and full telemetry — running from the moment you initialize.

Free during beta. 2-line setup.

From here

Waxell is available now.


Install the SDK, connect to your instance, and start capturing what your agents actually do. Governance, policy enforcement, cost tracking, and full telemetry — running from the moment you initialize.

Free during beta. 2-line setup.

FAQ

What is the Waxell Agent Composer?

Waxell Agent Composer is a governed development capability that builds and migrates AI agents inside Waxell's runtime. It takes high-level intent or existing agent logic and produces deployable agents with policies, budgets, and telemetry wired in from the start — no manual governance configuration required.

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

General code generators produce code without any 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 Waxell's runtime from its first execution.

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.

How does Agent Composer fit into a developer's workflow?

Developers define intent and logic. Agent Composer handles code generation, configuration, and governance wiring. The result can be tested immediately using Waxell Testing against the same runtime used in production, then deployed without manual translation or rewrite steps.

FAQ

What is the Waxell Agent Composer?

Waxell Agent Composer is a governed development capability that builds and migrates AI agents inside Waxell's runtime. It takes high-level intent or existing agent logic and produces deployable agents with policies, budgets, and telemetry wired in from the start — no manual governance configuration required.

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

General code generators produce code without any 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 Waxell's runtime from its first execution.

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.

How does Agent Composer fit into a developer's workflow?

Developers define intent and logic. Agent Composer handles code generation, configuration, and governance wiring. The result can be tested immediately using Waxell Testing against the same runtime used in production, then deployed without manual translation or rewrite steps.

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.