LLM Integration Services
Adding a large language model to your product sounds simple — until you're dealing with prompt engineering, streaming, cost optimization, hallucination mitigation, and production reliability. SaTekk handles the full LLM integration layer: model selection, API setup, prompt architecture, output parsing, error handling, and observability. We've integrated GPT-4o, Claude, Gemini, Llama, and Mistral into production SaaS products and enterprise workflows across every industry.
What our LLM integration covers
Model Selection & Architecture
We analyze your use case, latency requirements, and budget to recommend the optimal model — and build the right prompting architecture around it.
API Integration & SDK Setup
Clean integration with OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, or any LLM provider — with proper error handling and retry logic.
Structured Outputs & Function Calling
Reliable structured JSON outputs and tool/function calling so your LLM integrates predictably with downstream systems and databases.
Prompt Engineering & Guardrails
Production-hardened system prompts, input validation, output filtering, and safety guardrails that minimize hallucinations and off-topic responses.
Cost Optimization
Token budgeting, prompt caching, model routing (cheap model first, expensive model for complex queries), and usage monitoring to control your API spend.
Observability & Evals
LLM tracing with Langfuse or Helicone, automated eval pipelines, and dashboards so you can monitor quality and cost in production.
Frequently asked questions
Which LLM should I use for my product?+
How do you prevent LLM hallucinations in production?+
How do you manage LLM API costs at scale?+
Can you integrate LLMs into our existing codebase?+
Ship your LLM feature in weeks.
Book a free call. We'll tell you which model fits your use case, estimate your API costs, and give you a timeline to ship.
