The credential problem scales with your agents
A single AI agent making API calls on behalf of your application is manageable. Ten agents, each with its own set of third-party API integrations, is a different story. At scale, you end up with credentials scattered across environment variables, secrets managers, and hard-coded config files — each one a potential blast radius if it leaks.
The pattern that consistently breaks down first is credential ownership. When an agent calls a payment API, a data enrichment service, and a CRM in the same workflow, which team owns those keys? Who rotates them? Who gets paged when one expires or is revoked by the vendor?
Without a central layer, the answer is usually “nobody, until it breaks.”
Why traditional secrets management isn’t enough
Tools like AWS Secrets Manager and HashiCorp Vault solve credential storage well. What they don’t solve is per-request policy enforcement. Storing a key securely doesn’t prevent an agent from using it to call an endpoint it shouldn’t reach, at a rate that exhausts your monthly quota in an hour, or passing sensitive PII to a third-party service that logs request bodies.
You need a layer between your agents and the APIs they call — one that enforces what each credential is allowed to do, not just where it’s stored.
The RequestRocket approach
RequestRocket acts as an outbound proxy between your agents and every third-party API they connect to. Credentials are stored encrypted (AES-256-GCM) inside the platform and never sent to your agents. Instead, agents call the Proxy API using a proxy-scoped key credential; RequestRocket injects the real upstream credential and forwards the request.
This gives you three immediate wins:
- Rotation without re-deployment — Rotate a vendor credential in RequestRocket and every agent using it picks up the change instantly. No restarts, no config pushes.
- Scoped access — Each agent gets a proxy credential that maps to specific proxies. An agent handling email can’t reuse the same key to reach your payment processor.
- Auditability — Every request is logged with the credential, proxy, target, path, method, and response status.
Step 1: Create a proxy credential per agent identity
Each agent workflow gets its own proxy-type credential with credentialAuthType: "key". This is the key the agent presents to RequestRocket — not the upstream vendor key.
POST /clients/{clientId}/credentials
{
"credentialType": "proxy",
"credentialAuthType": "key",
"credentialName": "agent-billing-reconciliation",
"credentialRegion": "us-east-1",
"credentialSecret": {
"key": "rr_live_xxxxxxxxxxxxxx"
}
}The Stripe API key lives in a separate target credential and never leaves RequestRocket:
POST /clients/{clientId}/credentials
{
"credentialType": "target",
"credentialAuthType": "bearer",
"credentialName": "stripe-production",
"credentialRegion": "us-east-1",
"credentialSecret": {
"token": "sk_live_xxxxxxxxxxxxxx"
}
}Step 2: Restrict what the agent credential can reach
Rules on a credential apply across every proxy that uses it. Use effect: "deny" as the default and explicitly allow only the paths the agent needs:
POST /clients/{clientId}/credentials/{credentialId}/rules
{
"effect": "allow",
"methods": ["GET", "POST"],
"path": {
"path": { "pattern": "^/v1/(charges|refunds)" },
"presence": "must_exist"
},
"priority": 10,
"notes": "Billing agent: Stripe charges and refunds only"
}Pair this with a proxy-level proxyDefaultRuleEffect: "deny" so anything not explicitly permitted is blocked:
POST /clients/{clientId}/proxies
{
"proxyName": "stripe-billing-agent",
"proxyRegion": "us-east-1",
"proxyProxyCredentialId": "<agent-billing-reconciliation-id>",
"proxyTargetId": "<stripe-target-id>",
"proxyTargetCredentialId": "<stripe-production-id>",
"proxyDefaultRuleEffect": "deny"
}Even if the agent-billing-reconciliation credential is exfiltrated, it can only reach Stripe’s charges and refunds endpoints via this proxy. Everything else is blocked at the gateway.
Step 3: Cap runaway agent traffic
Autonomous agents are prone to retry storms — especially when LLM-generated logic doesn’t model backoff well. A single misbehaving workflow can exhaust your API quota.
Default rate limits are stored in client configuration and are applied by default to all proxies upon their creation:
PUT /clients/{clientId}/configuration
{
"configuration": {
"limits": {
"requestsPerMinute": 60,
"requestsPerDay": 5000
}
}
}These defaults can be further modified within each proxy after creation. Note while this gives a higher degree of control over each proxy it means that traffic is actually managed at the proxy level rather than the account.
The proxy’s built-in retry logic (proxyMaxRetries, proxyMaxBackoff) gives you control over how aggressively the gateway retries failed upstream calls without amplifying load:
PUT /clients/{clientId}/proxies/{proxyId}
{
...
"proxyMaxRequestsPerMinute": 100,
"proxyMaxRequestsPerDay": 1000,
"proxyMaxBackoff": 10,
"proxyMaxRetryCount": 3,
}Rotating credentials without touching your agents
Because agents call RequestRocket (not the vendor directly), upstream key rotation is decoupled from agent config:
- Create a new
targetcredential with the rotated vendor key. - Update the proxy’s
proxyTargetCredentialIdto point to the new credential. - Verify traffic flows correctly via the request log (
GET /clients/{clientId}/proxies/{proxyId}/requests). - Delete the old credential.
Proxy credentials (what agents present to RequestRocket) are rotated the same way as target credentials: create a replacement credential, update the proxy’s proxyProxyCredentialId to point to it, confirm traffic is flowing, then delete the old one.
Next steps
The patterns here apply whether you have three agents or three hundred. If you’re currently passing raw API keys into agent context windows or environment variables, start by moving them into RequestRocket as target credentials and issuing each agent its own proxy key. Read the credential documentation or start for free.