# Integrate an agent

## Integrate an agent

Aeeron integrations succeed or fail based on the control loop around them, not the HTTP client used to make requests. The core task is to let an agent select a paid action, compare that action against local spend policy, satisfy the payment requirement only when allowed, and then continue from a durable execution record. If that loop is well designed, the integration is stable. If that loop is vague, no SDK or wrapper will make it safe.

### What your agent should provide

In practice, every paid action should be grounded in four pieces of information: the intent the agent is trying to fulfill, the parameters needed by the external service, the budget available for that action, and the policy that decides whether the action can execute automatically or needs review. These fields create a clean seam between model output and real economic behavior. The model can propose. The policy layer can decide. The execution layer can act.

### Recommended integration pattern

The recommended pattern is to map Aeeron actions onto explicit agent capabilities rather than let the model invent action names on the fly. Each capability should have its own spend limits, its own approval thresholds, and its own retry policy. Execution outcomes should be stored with enough detail to support both audit and recovery, which usually means preserving the original input, the quote, the payment proof, the idempotency key, and the resulting execution record.

### Example policy object

The policy layer should live in code or configuration, not in prompt text, because policy is where operational guarantees come from. The model may describe why an action is useful, but the system should decide whether it is allowed.

```json
{
  "action": "servers.provision",
  "autoApproveBelow": {
    "amount": "20.00",
    "currency": "USDC"
  },
  "maxRetries": 2,
  "requiresHumanReviewAbove": {
    "amount": "100.00",
    "currency": "USDC"
  }
}
```

### Good fit for Aeeron

Aeeron is a strong fit when the agent needs to call paid infrastructure services, buy output from other agents, or trigger business operations whose real bottleneck is payment, approval, or provider orchestration. In those workflows, a normal tool call abstraction is too shallow because it hides the state that actually matters.

### Why teams integrate Aeeron

Teams integrate Aeeron because safe payment handling is one of the last major gaps in agent infrastructure. Most agents can already reason about which action to take next. Far fewer can pay for that action safely, attach the payment to a provider operation, and resume from a trustworthy execution record. Aeeron removes a large amount of custom backend work by giving those concerns a shared runtime instead of forcing every team to implement them from scratch.

### Integration benefits

The practical benefits show up quickly in production. Time to first deployment drops because payment-specific backend work is reduced. The boundary between reasoning and execution becomes cleaner, which makes policy review easier. Third-party service composition improves because each new provider can fit the same quote and execution lifecycle rather than introducing a new billing model into the agent core.

### Operational guidance

The safest rollout is to begin with low-risk actions, small budgets, and explicit approval thresholds. Once execution behavior is stable and the team is confident in its reconciliation and retry logic, the same integration can be expanded to higher-value workflows. Scaling the action set before the operational model is stable is usually the fastest way to create expensive edge cases.

### Integration checklist

At minimum, the integration should keep credentials outside the prompt runtime, generate one idempotency key per business intent, persist quote identifiers, payment proofs, and execution identifiers together, distinguish payment failure from execution failure in logs, and gate high-value actions behind review. Those are not optional niceties. They are the baseline conditions for a paid agent system that can be trusted in production.

### Related pages

For the first full request cycle, read [Getting started](/aeeron-docs/getting-started.md). For object and lifecycle semantics, continue with [API conventions](/aeeron-docs/api-conventions.md). For safe replay behavior under failure, read [Errors and idempotency](/aeeron-docs/errors-and-idempotency.md).

{% hint style="info" %}
Aeeron is strongest when paired with clear agent policies for spend, retries, and approval.
{% endhint %}


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