Prompt
I'm unhappy with stitching together multiple provider APIs; what should I use instead?
Latest observation
Oct 10, 2026
OpenAI 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:
- what APIs you’re stitching together,
- whether this is for LLMs, payments, auth, data, etc.,
- and whether you need failover or just less code,
…I can recommend the best specific replacement.