interlocute.ai beta

Protocol-First Runtime

A runtime designed around contracts and semantic boundaries. Interlocute separates protocol-level concerns from application logic, giving you a stable integration surface.

What is a protocol-first runtime?

A protocol-first runtime defines clear contracts for how AI agents communicate — request formats, response structures, streaming protocols, and error semantics. Interlocute's runtime implements these contracts so your integration code deals with stable, documented interfaces rather than raw LLM API quirks.

Why it matters

LLM APIs are moving targets — providers change response formats, add fields, and deprecate endpoints. A protocol-first runtime insulates your application from these changes. Your code talks to a stable contract; Interlocute handles the translation to the underlying provider.

Semantic boundaries

Interlocute enforces semantic boundaries between the AI protocol layer and your application logic. Threads, messages, tool calls, and memory are all protocol-level concepts with defined behaviors. Your application does not need to understand LLM internals — only the protocol contract.

Standards-based design

Interlocute is designed with the Addressable Intelligence Commons in mind — an open vision for standards-based AI integration. The runtime's contract-first approach is intentionally aligned with emerging standards for AI agent interoperability.

Frequently Asked Questions

Protocol-First Runtime

What does 'protocol-first' mean for an AI runtime?
It means the runtime is designed around explicit contracts — defined request/response formats, streaming protocols, error codes, and semantic behaviors. Your application integrates against these contracts rather than against raw LLM provider APIs.
How does the protocol-first approach protect my integration?
When Interlocute adds support for new models or providers, your integration code does not change. The runtime translates between the stable protocol contract and the underlying provider. This insulation means model upgrades and provider changes are invisible to your application.
What are semantic boundaries?
Semantic boundaries separate protocol concerns (threads, messages, streaming, tool calling) from application concerns (your business logic, UI, workflows). Interlocute's runtime handles the protocol layer so your code focuses on what the AI does, not how it communicates.
Is Interlocute based on an open standard?
Interlocute is designed with the Addressable Intelligence Commons vision in mind — an open approach to standards-based AI agent interoperability. The protocol layer is designed to be interoperable and aligned with emerging community standards.
How does this differ from using an LLM SDK directly?
An LLM SDK gives you raw access to a specific provider's API. Interlocute's runtime adds a stable contract layer on top, plus managed capabilities like memory, RAG, tool use, scheduling, and governance. You get the benefits of a full platform while coding against a clean, stable interface.
Can I migrate away from Interlocute if I need to?
Because the runtime uses explicit contracts and standard HTTP/SSE protocols, your integration patterns are portable. Your application code interacts with well-defined endpoints, making migration to alternative platforms straightforward if needed.

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