Routing, chaining, and orchestrating multiple AI models
Multi-model orchestration is the practice of routing queries to different AI models based on cost, latency, capability, or task type. Tools like LiteLLM (unified API gateway), LangChain, LlamaIndex, and Haystack enable model routing, RAG pipelines, agent workflows, and cost optimization across dozens of providers.
Single OpenAI-compatible API for 100+ models — route between providers with automatic fallback and load balancing
Retrieval-Augmented Generation: embed your docs, index in a vector DB, and query with any LLM for factual answers
Automatically route to cheapest model that meets quality threshold — save 70%+ vs always using frontier models
Build multi-step AI agents with tool use, memory, and iterative reasoning using any supported LLM backend
A new batch inference API endpoint is now available in Multi-Model Orchestration to boost efficiency and lower costs.
MMO rolls out an advanced model versioning system for improved deployment control and risk reduction.
No guides yet. Check back soon.
$0
Open-source MIT license
$50+/mo
Hosted solution
Ingest, index, and query structured + unstructured data with 100+ data connectors and retrieval strategies
Automatic failover between providers with configurable retry strategies and provider health monitoring
Custom
LangChain's observability platform