BYOI Provider Vault: keep your OpenAI/Anthropic keys; route through Kimss AI

Most enterprise AI rollouts hit the same friction point within a few months:

Teams already have working agents, API keys, and infrastructure. Security and platform engineering need governance, inventory, and auditability without forcing every team into a migration project.

Kimss AI approaches that problem as a Secure Enterprise Agent Control Plane. Instead of hosting models or reselling compute, Kimss sits in the request path as a model-agnostic API gateway. Customers keep their own providers, infrastructure, and keys while gaining centralized controls at the gateway layer.

The practical outcome is simple:

• Your agents continue calling OpenAI, Anthropic, Azure OpenAI, or OpenAI-compatible infrastructure
• Your provider credentials remain under your control
• Traffic routes through https://api.kimss.ai
• Kimss adds inventory, identity mapping, governance, and gateway-verified audit on routed traffic

This article walks through the BYOI (Bring Your Own Infrastructure) Provider Vault pattern and how platform teams are using it without rewriting existing applications.

Why teams want BYOI instead of another AI platform

Many AI governance products assume organizations want to centralize compute under a new vendor account. That often creates operational problems:

• Existing contracts already exist with OpenAI, Anthropic, or Azure
• Security teams do not want provider keys copied into multiple SaaS tools
• Platform engineering wants consistent routing and controls across providers
• Application teams want minimal code changes

Kimss AI is designed around those constraints.

Kimss does not host models. It does not replace your provider account. Instead, it governs requests at the gateway while customers retain their own infrastructure and credentials.

That distinction matters operationally because it preserves existing procurement, billing, and provider relationships while still giving central teams governance visibility.

The “one-line base_url change” adoption path

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

The gap between those two numbers is usually larger than expected.

Most organizations struggle to inventory AI usage because discovery projects require SDK migrations, endpoint agents, or code annotation campaigns that never fully complete.

Kimss AI takes a different approach: route existing traffic through the gateway.

For OpenAI-compatible applications, the initial integration is often just a base_url change:

export OPENAI_API_KEY="your-provider-key"
export OPENAI_BASE_URL="https://api.kimss.ai/v1"

A standard Python example looks like this:

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["OPENAI_API_KEY"],
    base_url=os.environ["OPENAI_BASE_URL"]
)

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

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

That routing change allows Kimss AI to inventory routed agents and apply gateway-level governance without requiring teams to rebuild applications around a proprietary SDK.

Unattributed traffic can still appear in inventory as discovered usage labeled by model, while explicitly setting X-Kimss-Agent-Id allows named inventory rows tied to known agents.

What the BYOI Provider Vault model actually does

The Provider Vault pattern separates governance from model hosting.

Your organization keeps ownership of:

• OpenAI keys
• Anthropic keys
• Azure OpenAI infrastructure
• OpenAI-compatible provider infrastructure
• Existing provider billing relationships

Kimss AI provides:

• Agent registry
• SSO identity mapping
• Gateway governance
• Gateway-verified audit
• Kill switch enforcement at the gateway
• Request-level controls on routed traffic

For security teams, this creates a cleaner operational boundary. The gateway governs requests while provider ownership stays with the customer.

In practice, this is useful for organizations running mixed-provider environments where different teams already standardized on different models or clouds.

Gateway controls without rebuilding every agent

A common concern from platform engineering teams is rollout cost.

If governance requires every application team to adopt a new framework, deployment slows down immediately.

Kimss AI focuses on governance at the API gateway layer instead.

That enables controls such as:

• Gateway kill switch for routed traffic
• MCP RBAC enforcement
• Gateway-verified audit logging
• Per-endpoint token caps on connected infrastructure
• Workspace-isolated cognition through the Kimss SDK path

Importantly, these controls apply to traffic routed through the Kimss gateway. Kimss does not claim visibility into network traffic, DNS activity, endpoint telemetry, or SaaS scanning outside routed requests.

That scope matters when discussing compliance or auditability internally.

Audit and governance for routed traffic

Enterprise AI programs often discover that “self-reported usage” is not enough for regulated workflows.

Kimss AI distinguishes between inventory states:

• Registered: declared inventory only
• Reported: self-reported usage
• Routed: gateway-verified traffic with governance enforcement

The strongest audit path comes from routed requests because enforcement and logging occur at the gateway itself.

For organizations using Azure infrastructure, Kimss supports gateway-verified audit via APIM GatewayLogs and Log Analytics on the compliance path.

This distinction helps platform teams avoid overstating audit guarantees for systems that are only manually registered.

Multi-provider governance without provider lock-in

One operational challenge in enterprise AI is provider churn.

Teams change models frequently based on:

• Cost
• Latency
• Capability
• Regional availability
• Procurement constraints

A governance layer tied too tightly to one provider becomes difficult to maintain over time.

Because Kimss AI is model-agnostic, organizations can route different providers through the same governance plane while keeping existing infrastructure investments.

That architecture also avoids a common migration risk: governance tools becoming implicit compute resellers.

Kimss AI governs the request path but does not host models or sell compute credits.

Free Developer tier for testing governance flows

For developers and platform teams evaluating gateway governance patterns, Kimss AI includes a Developer tier with:

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

The Developer plan hard-stops at the cap with HTTP 429 governed_requests_exhausted, which makes usage boundaries predictable during testing.

Paid plans move to higher governed request limits and longer retention windows while keeping unlimited workspace members on Production and Scale tiers.

Where this architecture fits best

The BYOI Provider Vault model is usually strongest in organizations that already have active AI usage and need governance without interrupting delivery velocity.

Typical patterns include:

• Internal copilots already deployed across business units
• Mixed Azure OpenAI and OpenAI usage
• Teams experimenting with Anthropic while security requires centralized controls
• Existing agents that cannot justify a full SDK rewrite
• Platform engineering groups standardizing governance centrally

The key design principle is that governance should not require replacing the infrastructure teams already trust.

Get started

If you already have OpenAI-compatible applications in production or staging, the fastest evaluation path is usually routing a non-critical workload through the gateway and validating:

• Inventory visibility
• Audit paths
• Identity mapping
• Governance behavior
• Operational overhead

The Developer tier includes 25,000 governed requests per month with no card and no trial period.

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

FAQ

Does Kimss AI host OpenAI or Anthropic models?

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

Can I use my existing OpenAI SDK with Kimss AI?

Yes. OpenAI-compatible applications can route traffic through https://api.kimss.ai/v1 using a base URL change.

Does Kimss AI discover AI usage outside routed traffic?

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