OpenRouter AI API: Multi-Model Routing Guide
Use OpenRouter's AI API to call many models through one OpenAI-compatible endpoint — pricing, keys, and when aggregators beat direct vendor accounts.
Topic
Design patterns for AI-powered systems: provider abstraction, streaming, caching, retries, and evaluating API providers for your stack.
12 articles
Use OpenRouter's AI API to call many models through one OpenAI-compatible endpoint — pricing, keys, and when aggregators beat direct vendor accounts.
AI agents API patterns for developers — tool calling, multi-step loops, token costs, and why agent traffic breaks naive API budgets.
Grok AI API and xAI API overview: access, pricing shape, use cases, and how Grok compares to OpenAI and Gemini for product integrations.
Groq AI API, Together AI API, and Azure AI API — speed, hosting, pricing models, and when each beats default OpenAI or Google paths.
Why no AI API is truly without limits, how rate caps work, and how flat-rate fair-use differs from pay-per-token throttling.
A hybrid AI API strategy: route tasks to the cheapest suitable provider, manage keys and latency, and know when one flat-rate key is simpler.
Yes — run open-weight LLMs on your own hardware with Ollama and similar tools. Learn costs, limits, and when a flat-rate cloud API is still cheaper.
Compare self-hosted open-weight models with paid AI APIs on cost, quality, ops burden, and privacy — with a decision matrix for teams.
Handle rate limits, timeouts, and malformed streams from AI APIs — with exponential backoff, idempotency, and user-facing fallbacks.
Retrieval-augmented generation without overbuilding: chunking, embeddings, vector search, and when a simple FAQ index is enough for v1.
When to use SSE, WebSockets, or plain HTTP for AI API streaming — latency, proxies, reconnection, and what most chat products implement today.
A guide to architecting AI-powered features that are reliable, scalable, and maintainable — from initial integration to running in production at scale.
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