Gentech
AI & Automation

LLM Integration

Quick Answer

GPT-4o, Claude, Gemini, Llama — integrate the right LLM into your product.

LLM Integration Done Right

We wire LLMs into your apps the way production systems require: streaming, structured outputs, cost controls, fallbacks, and the right model for the job — from OpenAI GPT-4o to Claude, Gemini, and open-weight Llama.

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Frequently Asked Questions

Should we build on one LLM provider or support multiple?
We generally recommend multi-model routing with a primary and fallback provider — it protects you from a single vendor's outages or price changes, and lets you route by cost and quality per task.
How do you control LLM API costs at scale?
Through prompt and context optimisation, caching repeated queries, using smaller models for simple tasks, and setting hard usage limits — cost control is designed in, not bolted on after the first bill.
Can the LLM return structured data our app can use directly, not just chat text?
Yes — we use structured output and function-calling so responses come back as validated JSON your application can consume directly, not free text you have to parse.