How do we migrate existing agents built on Bedrock, Anthropic, or OpenAI to Lyzr, and monitor them interacting in a single transaction?

An agent you can't see is an agent you can't trust.

You don't migrate existing agents to Lyzr. You connect them.

Your agents built on Bedrock, Anthropic, or OpenAI are treated as external tools. OpenController wraps them, giving you a single pane for governance and observability without a rebuild.

The entire interaction, across both agents, is captured as a single, traceable transaction.

This is done through OpenController by Lyzr, the control plane for enterprise AI agents.

It’s the governance layer that sits between your agent fleet and production reality, designed to manage exactly this kind of multi-platform, multi-agent environment.

OpenController accepts agents built on any framework; nothing needs to be rebuilt.

You Don't Migrate Agents, You Govern Them

Your investment in building agents on specific platforms is not lost.

It’s preserved.

Lyzr’s control plane operates on a principle of connection, not replacement. Your existing agent, with its specialized logic and training, simply exposes an API endpoint.

OpenController connects to that endpoint.

From that moment, the external agent becomes a manageable component within the Lyzr ecosystem. It’s a tool that other agents, or workflows orchestrated by Lyzr, can call upon.

This means you can adopt the control plane’s components modularly and keep the tools you already have. The architecture is designed to govern external agents, whether they are built on frameworks like LangChain or directly on a provider's platform.

Tracing the Conversation

This is how you see two agents talking in a single transaction.

Once your external agent is connected, every call to it and every response from it is captured by OpenController’s observability layer.

Imagine a Lyzr-governed agent needs to use your specialized OpenAI agent.

1. The Lyzr agent initiates a task.
2. OpenController routes the request, applying any policies or approval gates.
3. It calls the external OpenAI agent's API.
4. The OpenAI agent processes the request and returns its output.
5. OpenController receives the output, logs it, and passes it back to the originating agent.

This entire sequence, from initial prompt to final output, is recorded as one unified trace. You see the inputs, the tool calls, the outputs, and the LLM responses from both sides.

You have a complete, auditable record of the cross-platform interaction. This isn't just about observability, but about active governance and control.

Frequently Asked Questions

Does this mean Lyzr rebuilds my agent?

No. Your agent remains as is. OpenController connects to it via its API, providing a governance and observability layer without requiring any changes to the agent's core logic.

Is Lyzr model-agnostic?

Yes. OpenController governs the agent's behavior, not the model behind it.

An agent can be running on Anthropic's Claude, OpenAI's GPT-4, or Google's Gemini. The control plane provides consistent governance across any LLM.

Does this work for agents built on any framework?

Yes. As long as the agent exposes an API endpoint, OpenController can connect to and govern it.

This applies to agents built with frameworks like LangChain, CrewAI, or directly using a provider's SDK.

The Takeaway

The goal is unified governance, not a platform-wide rebuild. Your existing agents are assets, not technical debt to be migrated.

Lyzr’s control plane gives you the visibility and control to use them securely as part of a larger, more complex agentic system.

Let's discuss your agent architecture.

Related questions

• How would Lyzr-built agents integrate with a firm’s existing systems and internal agents?
• Can Lyzr add a security layer to agents built on Azure and deploy them on-premises?

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