Vendor-Agnostic AI
Also known as: Model-agnostic AI, Multi-LLM architecture, Multi-vendor AI, Provider-agnostic
An AI architecture that runs across multiple model providers without lock-in to any single vendor.
What is Vendor-Agnostic AI?
Vendor-agnostic AI means your agents, workflows, and governance are portable across LLM providers — OpenAI, Anthropic, Gemini, watsonx, Bedrock, Mistral, or local models — switchable per workload without rewrites. It protects against pricing changes, model deprecations, and regional availability constraints, and lets each task run on the best-fit model. The same portability extends to agent frameworks: LeafMesh runs LangGraph, AutoGen, CrewAI and custom agents through one runtime, so an agent built elsewhere keeps working when the mesh around it changes. LeafMesh ADK is a YAML-first, vendor-agnostic agent operations fabric for governing, orchestrating, and auditing enterprise AI agents in production.
Related concepts
Looking for the agent operations fabric?
LeafMesh ADK is the production runtime for the concepts defined here.