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?
How does the protocol-first approach protect my integration?
What are semantic boundaries?
Is Interlocute based on an open standard?
How does this differ from using an LLM SDK directly?
Can I migrate away from Interlocute if I need to?
Documentation
Related Features
Addressable Nodes
Every node is a stable, named endpoint with its own identity, API keys, and usage history. Address your AI like you address a web page.
Model Routing
Run your nodes on any supported LLM provider. Switch models without changing code — Interlocute abstracts the provider layer.
Agent Deployment
Deploy AI agents as stable, addressable endpoints in seconds. No infrastructure to manage, no containers to orchestrate.
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