Prompt

I'm unhappy with stitching together multiple provider APIs; what should I use instead?

Artificial Intelligence / AI Infrastructure1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

If you’re unhappy stitching together multiple provider APIs, the usual answer is: use a single abstraction layer or orchestration platform instead of calling each provider directly.

Good options depend on what you’re building:

1. One unified API / SDK

Use a platform that normalizes multiple providers behind one interface.

  • Pros: less integration work, easier switching/failover
  • Cons: you still depend on a middle layer, may lose some provider-specific features

Examples:

  • OpenRouter for LLM/model routing
  • LiteLLM for a proxy + SDK layer across providers
  • Vercel AI SDK for a cleaner app-facing abstraction

2. Workflow/orchestration platform

If the issue is chaining tools, retries, branching, and state management, use an orchestration layer.

  • Pros: handles complex flows, observability, retries
  • Cons: more platform complexity

Examples:

  • LangGraph
  • Temporal
  • Prefect / Dagster for general workflows

3. Managed “single vendor” stack

If your real goal is simplicity, you may be better off choosing one provider that covers most of your needs.

  • Pros: simplest architecture
  • Cons: vendor lock-in, less flexibility

Quick recommendation

  • For LLM apps: use LiteLLM or OpenRouter
  • For agent/workflow logic: use LangGraph or Temporal
  • For maximum simplicity: consolidate on one vendor

If you tell me:

  1. what APIs you’re stitching together,
  2. whether this is for LLMs, payments, auth, data, etc.,
  3. and whether you need failover or just less code,

…I can recommend the best specific replacement.

Observation history

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