Zero-Annotation Agent Discovery with Gateway-Routed Traffic

“Count the agents your teams are running. Now count the rows in your agent inventory.”

For many platform and security teams, those two numbers are nowhere near each other.

The gap is the shadow agent problem: internal tools, scripts, copilots, automations, notebooks, and workflows making model calls outside any governed inventory. Usually not malicious. Usually just fast-moving teams trying to ship.

Most organizations already have endpoint tools, SaaS monitoring, and cloud logging. The harder problem is identifying which AI agents are actually making model calls, which identities they map to, and whether they can be governed consistently.

Kimss AI approaches this from the traffic layer.

Instead of scanning networks or requiring SDK rewrites, Kimss acts as a Secure Enterprise Agent Control Plane — a model-agnostic API gateway. When existing AI traffic is routed through the gateway, every distinct agent call can become an inventory row automatically.

No code annotation required.

What “zero-annotation discovery” actually means

Zero-annotation discovery does not mean magic discovery across your infrastructure.

Kimss only inventories traffic routed through the Kimss gateway. It does not scan DNS, endpoints, browser activity, or SaaS estates.

The mechanism is simpler and more operationally realistic:

1. Existing AI calls are routed through https://api.kimss.ai/v1
2. The gateway observes inbound traffic
3. Distinct agents appear in inventory automatically
4. Unattributed traffic is labeled by model
5. Teams can later attach explicit identities using headers like X-Kimss-Agent-Id

That means adoption can start with a configuration change instead of a migration project.

In practice, many organizations begin with:

• A base_url change
• Existing OpenAI-compatible clients
• Existing cloud model providers
• Existing infrastructure

Kimss governs the call path and audit layer. Customers still bring their own models and infrastructure.

Why this matters operationally

Most AI governance programs fail at the inventory stage.

Security teams ask:

• Which agents exist?
• Which identities own them?
• Which models are they using?
• Can we disable them centrally?
• Which traffic is gateway-verified versus self-reported?

Engineering teams often cannot answer quickly because the architecture evolved organically:

• Internal copilots
• CI/CD automations
• Slack bots
• Data notebooks
• Browser-based tools
• Temporary experiments that became production systems

Requiring every team to rewrite SDKs or manually register metadata usually stalls adoption.

Gateway-routed discovery changes the migration path:

• Route first
• Inventory automatically
• Add attribution progressively
• Enforce governance later

Kimss describes this trust ladder as:

• Register → inventory only
• Report → self-reported usage
• Route → gateway-verified governance and audit

That progression matters because platform teams can start with visibility instead of trying to enforce full compliance on day one.

A minimal implementation

Kimss exposes an OpenAI-compatible inbound endpoint at:

https://api.kimss.ai/v1

That means many existing SDKs only need a base URL update.

Here’s a Python example using the OpenAI SDK.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["KIMSS_API_KEY"],
    base_url="https://api.kimss.ai/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {
            "role": "user",
            "content": "Summarize this deployment log"
        }
    ]
)

print(response.choices[0].message.content)

Or using environment variables:

export OPENAI_BASE_URL=https://api.kimss.ai/v1
export OPENAI_API_KEY=$KIMSS_API_KEY

At that point:

• Requests route through the Kimss gateway
• Traffic can appear in the agent inventory
• Governance policies can apply at the gateway layer
• Audit becomes gateway-verifiable for routed traffic

No model migration required.

No hosted compute migration required.

No SDK replacement required.

What gets discovered

When traffic arrives without explicit attribution headers, Kimss labels discovered inventory rows by model identity.

For example:

• Discovered · gpt-4o
• Discovered · claude-sonnet
• Discovered · llama-3

That gives platform teams an immediate starting inventory.

Later, teams can attach stable identities explicitly:

X-Kimss-Agent-Id: finance-forecast-agent

This allows gradual cleanup instead of forcing organizational coordination before visibility exists.

Governance after discovery

Discovery alone is not enough for enterprise operations.

Once traffic is routed through the gateway, Kimss can apply:

• Gateway kill switch controls
• MCP RBAC enforcement
• Gateway-verified audit
• Per-endpoint token caps on connected infrastructure
• Identity mapping through SSO integration

Importantly, the kill switch applies to routed traffic at the Kimss gateway.

It does not terminate customer processes that never call the gateway.

That distinction matters because many AI governance claims in the market blur network visibility with execution control. Kimss keeps the boundary explicit: governance applies where the traffic path exists.

Why platform engineers like the gateway approach

For platform teams, the operational advantage is usually speed of rollout.

A typical migration path looks like this:

Week 1:

• Route selected internal tooling through the gateway
• Generate initial inventory rows
• Identify high-volume agents

Week 2:

• Add explicit agent identifiers
• Map identities through SSO
• Segment environments

Week 3:

• Enable governance controls
• Apply token guardrails
• Add audit workflows

The key is that visibility starts immediately after routing traffic.

That is substantially easier than:

• Deploying endpoint agents
• Rewriting applications
• Requiring every developer team to adopt a new orchestration framework
• Standardizing on a single model provider

Kimss is model-agnostic by design. Customers keep their existing providers and infrastructure.

Cost model and developer access

Kimss meters governed requests, not compute usage.

The platform does not host models or resell inference capacity.

Developer tier includes:

• 25,000 governed requests/month
• No credit card required
• No trial expiration
• Up to 5 workspace members
• 14-day retention

If the monthly limit is exceeded, the Developer plan returns:

HTTP 429
error=governed_requests_exhausted

Paid plans increase governed request capacity and retention windows while supporting unlimited workspace members.

For many engineering teams, the Developer tier is enough to validate:

• Gateway routing
• Inventory creation
• Agent attribution
• Audit visibility
• Governance integration patterns

before production rollout.

Common rollout pattern in enterprises

The most effective deployments usually avoid trying to “solve shadow AI” globally on day one.

Instead, teams:

1. Route traffic from one engineering group
2. Measure discovered inventory
3. Identify unmanaged usage
4. Establish governance patterns
5. Expand incrementally

That sequencing matters because AI usage is often more fragmented than leadership expects.

The inventory gap becomes visible quickly once traffic is centralized through a gateway.

And because onboarding can start with a base URL change, the operational friction stays relatively low.

Final thoughts

Most organizations already know AI usage exists outside official inventories.

The challenge is producing evidence quickly enough to govern it without slowing teams down.

Gateway-routed discovery is practical because it starts where the traffic already exists:

• model requests
• API clients
• orchestration systems
• automation pipelines

Instead of requiring complete standardization upfront, platform teams can establish visibility first and tighten governance progressively.

For organizations already using OpenAI-compatible tooling, that often starts with a single configuration change:

OPENAI_BASE_URL=https://api.kimss.ai/v1

Get Free API Key at https://kimss.ai

FAQ

Does Kimss AI host models or provide inference compute?

No. Kimss AI is a Secure Enterprise Agent Control Plane and model-agnostic API gateway. Customers bring their own models and infrastructure providers.

Can Kimss discover agents without routing traffic through the gateway?

No. Kimss inventories agents whose traffic is routed through the Kimss gateway. It does not scan networks, endpoints, DNS, or SaaS environments.

What is required to start zero-annotation discovery?

For many OpenAI-compatible applications, onboarding starts with changing the base URL to https://api.kimss.ai/v1 and routing traffic through the gateway.