Is Lyzr’s control plane agnostic to the LLM behind each agent, such as Copilot or Gemini?

Tying your agent governance strategy to a single LLM vendor creates immediate lock-in.

Yes, Lyzr's control plane is entirely model-agnostic.

It is designed to be plug-and-play. Your agents can use Gemini, an OpenAI model, Anthropic's Claude, or any open-source model.

The control plane governs them all the same.

This is the function of OpenController by Lyzr, the control plane for enterprise AI agents. OpenController is Lyzr's answer to the control plane problem in enterprise AI: the governance layer between agent development and production.

How It Works: Governance Above the Model

OpenController operates at the layer of agent behavior, not model selection.

It doesn't inspect the internal state of the LLM.

Instead, it observes and controls the agent's interactions with its environment. This includes every tool call, every data source accessed, and every output generated.

This is how a single set of security policies, audit logs, and performance dashboards can apply universally.

Your rules for data handling are enforced whether the agent is powered by GPT-4o, a fine-tuned Llama 3 running as a locally hosted LLM, or a model from AWS Bedrock.

The governance is consistent because it focuses on the agent's actions, not its underlying "brain." This allows you to apply universal controls even when agents stay on their own stack.

One Control Plane for a Hybrid Model Strategy

This model-agnostic approach decouples your agent strategy from your model procurement strategy.

You can use the best LLM for each specific task without fragmenting your governance or security posture.

Use a powerful, high-cost model for complex reasoning agents.
Use a fast, low-latency model for simple classification agents.

Both will be governed by the same OpenController instance. They will appear in the same observability dashboards, generate auditable traces for the same compliance standard, and be subject to the same human-in-the-loop approval gates.

This unified control extends across your infrastructure. OpenController can govern agents built on Azure, running in a private customer GCP environment, or deployed on-premises.

The result is a single point of control for your entire production agent fleet, no matter how diverse the underlying models and frameworks are.

Your Takeaway

Your choice of LLM is a performance and cost decision, not a governance one. OpenController decouples them.

If you're building a multi-model agent strategy, let's talk about how a unified control plane provides the consistency you need.

Want to see how it fits your stack? Talk to us about OpenController by Lyzr.