🤖 For AI Engineering Teams

Ship agents faster.
Stay in control.

4Keyless is the security and observability layer your multi-agent systems need — without adding latency, complexity, or lock-in. Works with LangChain, CrewAI, AutoGen, custom frameworks, and raw HTTP.

🦜 LangChain 👥 CrewAI 🤝 AutoGen ⚡ <10ms overhead 📜 Script Actions

Building agents is easy. Governing them is hard.

As your agent system grows, the gap between "it works in dev" and "safe in prod" widens fast.

Without 4Keyless

  • No visibility into which tool calls your agents are making in production
  • Agent goes rogue — you find out from a customer complaint, not a dashboard
  • Can't gate sensitive tool calls without writing custom middleware for every agent
  • Debugging multi-agent failures is pure guesswork — no per-request trace
  • Different teams hardcode different credentials in different places

With 4Keyless

  • Every tool call logged with agent ID, system, decision, latency, request body
  • Set ALLOW / BLOCK / ASK policies per agent, per system — no code changes
  • Script Actions: run arbitrary code as a policy hook — transform, validate, enrich
  • Full trace per request: input → policy evaluation → credential fetch → response
  • One credential store, all agents — Vault-backed, no credential duplication

Works with any framework in 3 lines

No SDK lock-in. 4Keyless is an HTTP proxy — your agent calls it like any other endpoint.

Python (LangChain)
# Before: direct DB call
tool = PostgresTool(
conn="postgres://prod-db/..."
)

# After: via 4Keyless
tool = PostgresTool(
conn="https://gw.4keyless.io/...",
headers={"X-Agent-Key": key}
)
Node.js (any framework)
// Before
fetch(`https://api.stripe.com/...`, {
headers: { Authorization: sk }
})

// After — credentials injected by gateway
fetch(`https://gw.4keyless.io/stripe`, {
headers: { 'X-Agent-Key': agentKey }
})

Everything you need to run agents in production

📜

Script Actions

Run custom JavaScript/Python at policy evaluation time. Validate payloads, enrich context, call external APIs, or implement complex allow/deny logic — all without touching agent code.

🛡️

ASK — human-in-the-loop

Set ASK policies for high-stakes tool calls. An operator approves via Telegram or push notification before the agent proceeds. Timeout defaults to deny. Perfect for agentic pipelines that touch real money or data.

<10ms policy overhead

Policy evaluation and credential injection add less than 10ms to each request at p99. Built on Rust-backed infrastructure. No latency excuses — run 4Keyless in production without reservation.

🔍

Per-request tracing

Every access log includes agent ID, target system, HTTP method, policy decision, latency, and a cryptographic signature. Debug multi-agent failures with full request context — not guesswork.

🔄

Dynamic policy updates

Change policies in real time from the admin panel. Move a production agent from ALLOW to ASK without a redeploy. Great for A/B testing governance strategies or responding to incidents instantly.

🔑

Credential injection

Your agents send a single API key. 4Keyless fetches the right credential from Vault, injects it into the upstream request, and discards it after use. Agents never hold real secrets — even in memory.

Multi-agent pipelines, fully observed

When orchestrator agents spawn sub-agents, each call is independently logged and governed. You get visibility into the full call graph — not just the leaf tool calls.

  • Orchestrator → sub-agent → tool call — all logged with parent context
  • Independent policies per sub-agent — researcher ≠ executor permissions
  • Block runaway sub-agents in real time without stopping the orchestrator
  • Export logs to your observability stack — OpenTelemetry compatible
# Multi-agent setup — each agent
# has independent keys + policies

orchestrator = Agent(
name="planner",
keyless_key=os.getenv("PLANNER_KEY"),
# policy: ASK for prod writes
)

researcher = Agent(
name="researcher",
keyless_key=os.getenv("RESEARCHER_KEY"),
# policy: ALLOW read-only endpoints
)

executor = Agent(
name="executor",
keyless_key=os.getenv("EXECUTOR_KEY"),
# policy: BLOCK external APIs
)
★★★★★
"We built a 12-agent pipeline and had zero visibility into what was happening at the tool call level. 4Keyless gave us observability without touching a single line of agent code. The Script Actions feature alone replaced 300 lines of custom middleware."
MC
Mariana C.
AI Engineering Lead, AI-native startup

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