what should I use for prompt orchestration

It depends on what you mean by “prompt orchestration” and how much complexity you need.

Good options by use case

1. Simple apps / prototypes

• Just code it yourself in Python/TypeScript
• Use your LLM provider’s SDK directly
• Best if you have:
  • a few prompts
  • straightforward control flow
  • minimal state

2. Prompt pipelines / multi-step workflows

• LangChain
• Good for chaining prompts, tools, memory, and structured workflows
• Best if you want lots of integrations and don’t mind some abstraction overhead

3. Graph-based agent/workflow orchestration

• LangGraph
• Better than plain chains when you need:
  • branching
  • retries
  • loops
  • stateful agent flows
• Good for more production-like orchestration

4. LLM app development with evaluation/tracing

• LlamaIndex
• Strong for RAG-heavy systems and document workflows
• Also useful if retrieval is a big part of orchestration

5. Multi-agent / production workflow engine

• Temporal
• Not LLM-specific, but excellent for durable, reliable orchestration
• Use this when the workflow matters more than the model:
  • retries
  • long-running jobs
  • human approval steps
  • resumable workflows

6. Prompt management / versioning / experimentation

• LangSmith, Humanloop, PromptLayer, Weights & Biases Weave
• Best if your main need is:
  • prompt versioning
  • testing
  • tracing
  • evals
  • team collaboration

My practical recommendation

• Prototype: direct SDK + your own lightweight orchestration
• Complex LLM workflow: LangGraph
• RAG-heavy app: LlamaIndex
• Need reliability and resumability: Temporal
• Need observability and prompt iteration: add LangSmith or similar

Rule of thumb

If your orchestration is just “call model A, then model B,” keep it simple and use code.
If it becomes “route, branch, retry, persist state, human-in-the-loop,” use a workflow/orchestration tool.

If you want, I can recommend a stack based on your exact use case:

• chat app
• RAG app
• agent system
• internal workflow automation
• eval/prompt testing setup