Best LLM orchestration frameworks in 2025
Compare the best LLM orchestration frameworks for chaining prompts, managing agents, and building AI pipelines. LangChain, LlamaIndex, DSPy, and more.
Aymeric Zhuo1 min read
The best LLM orchestration frameworks solve the problem that emerges after you get a single LLM call working: chaining multiple calls together with tools, memory, retrieval, and conditional logic.
Unlike generic AI automation posts, this guide shows real CodeWords workflows — not just theory.
Related: langchain vs llamaindex, best ai agent frameworks 2025, CodeWords integrations.
LangChain
Most widely adopted. LangGraph for stateful workflows. LangSmith for observability. 700+ integrations.
LlamaIndex
Best-in-class RAG. 160+ data connectors. Advanced retrieval strategies.
DSPy
Programming-first approach. Automatic prompt optimization. Modular architecture.
Semantic Kernel
Microsoft. Enterprise-grade. Strong C# and .NET support. Azure OpenAI integration.
Haystack
Clean pipeline abstraction. Typed components. Strong search and retrieval heritage.
Instructor
Reliable structured outputs from any LLM. Minimal API surface. Retry with validation feedback.
CodeWords as an orchestration platform
CodeWords provides LLM orchestration without framework overhead. Built-in access to OpenAI, Anthropic, and Gemini. 500+ integrations. Templates. Pricing.
How to choose
Maximum control and ecosystem: LangChain. Data retrieval focused: LlamaIndex. Prompt optimization: DSPy. Enterprise .NET: Semantic Kernel. Fast path to production: CodeWords.