LLM Integration
Seamlessly embed large language models into your products for intelligent search, content generation, summarization, and conversational interfaces that transform user experiences.
import { OpenAI } from 'openai';
const client = new OpenAI();
const response = await client.chat.completions.create({
model: "gpt-4o",
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: userQuery }
],
temperature: 0.7,
max_tokens: 2048,
});
return response.choices[0].message.content;
Production-Grade LLM Calls
We build robust integrations with leading LLM providers, handling retries, rate limiting, token management, and cost optimization out of the box. Your product gets intelligent capabilities without infrastructure headaches.
- Streaming responses for real-time UX
- Token counting and budget enforcement
- Automatic retry with exponential backoff
- Multi-model fallback chains
const buildPrompt = (template, vars) => {
return template.replace(
/\{\{(\w+)\}\}/g,
(_, key) => vars[key] ?? ''
);
};
const systemPrompt = buildPrompt(
`You are a {{role}} assistant.
Respond in {{language}}.
Keep answers under {{maxWords}} words.`,
{ role: "legal",
language: "English",
maxWords: "200" }
);
Dynamic Prompt Templates
We design reusable, version-controlled prompt templates that adapt to context, user roles, and domain requirements. Structured prompt management ensures consistency, reduces hallucinations, and makes iteration fast.
- Version-controlled prompt libraries
- Dynamic variable injection
- A/B testing across prompt variants
- Guardrails and output validation
Real-World LLM Use Cases
Models & Tools We Integrate
Ready to Integrate LLMs into Your Product?
From prototype to production, we help you harness the power of large language models to build smarter products that delight users and reduce operational costs.