Caedral is unified AI infrastructure for developers — one API across four model tiers (from a free tier to frontier-capable models), plus endpoints for image generation, embeddings, audio, and reranking. What's different: SDKs in TypeScript, Python, Go, Java, and C, a native n8n integration with AI Agent and Vector Store sub-nodes, and dynamic pricing that protects against upstream cost spikes without ever charging more than advertised. Free tier included, no credit card required.
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Maker
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Hey PH! I'm Leonardo, builder of Caedral.
I built this because integrating multiple AI providers into one product always meant juggling different SDKs, pricing models, and auth patterns. Caedral gives you one API, one SDK per language, and transparent pricing across everything — chat models, image generation, embeddings, audio, and reranking.
The n8n integration was important to me specifically — it plugs directly into n8n's native AI Agent and Vector Store nodes, not just as a generic HTTP action.
Built and shipped solo. Would love your feedback — especially on what's missing or what would make this more useful for your workflow.
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How does the dynamic pricing actually work when an upstream provider suddenly hikes costs mid-month — do existing free tier users get rate-limited, or does it quietly bump them to a paid tier without warning?
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How does the dynamic pricing actually work when upstream costs spike, do you just route more requests to cheaper tiers or is there something else under the hood?
How does the dynamic pricing actually work when an upstream provider suddenly hikes costs mid-month — do existing free tier users get rate-limited, or does it quietly bump them to a paid tier without warning?
How does the dynamic pricing actually work when upstream costs spike, do you just route more requests to cheaper tiers or is there something else under the hood?