Glossary

What is AI Orchestration?

Coordinating LLMs, tools, and workflows for complex applications.

What is AI orchestration?

AI orchestration coordinates multiple AI components—LLMs, tools, databases, and APIs—into cohesive workflows. Frameworks like LangChain and LlamaIndex provide abstractions for building complex AI applications.

Orchestration Frameworks

  • LangChain: Popular framework for chains and agents
  • LlamaIndex: Data framework for RAG applications
  • Semantic Kernel: Microsoft's AI orchestration SDK
  • Haystack: End-to-end NLP framework

Orchestration Components

  • Chains: Sequential LLM operations
  • Agents: Autonomous decision-making
  • Tools: External capabilities (search, code, APIs)
  • Memory: Conversation and context management

Monitoring Orchestrated Workflows

  • Track each step in multi-step workflows
  • Monitor tool call success and latency
  • Detect errors at any stage
  • Trace end-to-end request flow

How do I monitor orchestrated workflows?

Monitor each step in the workflow: LLM calls, tool invocations, retrieval operations. Track latency, errors, and quality at each stage. Orchestration frameworks often have built-in tracing that can export to observability platforms.

Monitor AI workflows end-to-end

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