LLM Integration: Connect GPT/Claude to Your Systems

What LLMs are and how they integrate into business

LLM (Large Language Model) — large language models like GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, Llama 3.3. They take text and return text — but it's the most universal API in IT history. Through text you can: ask questions, classify, translate, summarize, generate, perform actions via tool use.

LLM integration = backend service that: (1) receives requests from your systems, (2) sends them to LLM provider via API, (3) processes response, (4) returns to your systems in needed format.

Where LLMs are typically integrated

1. CRM (Bitrix24, AmoCRM, Salesforce)

LLM analyzes client history, prepares personalized quotes, writes follow-up emails, classifies inbound leads.

2. ERP (1С, SAP)

Vision API recognizes invoices, auto-fills counterparty cards from BIN, forecasts cash-flow from historical data.

3. Corporate portal / Confluence / Notion

Semantic search across all company documents. "Show latest travel policy" — instant answer with citation and link.

4. E-commerce platforms

Auto-generation of SEO descriptions for thousands of products, AI recommendations, shopping assistant.

A-LUX LLM integration architecture

• Backend: Python (FastAPI / Django) or Node.js (NestJS)
• LLM Provider Abstraction: LangChain or LiteLLM — uniform interface
• Caching: Redis — cuts costs 3–5x
• Vector DB: pgvector / Pinecone for RAG
• Monitoring: LangSmith / Sentry / Grafana
• Rate limiting & cost control

LLM integration pricing

FAQ

Which LLM to choose: GPT-4o, Claude or Llama?

Depends on task. GPT-4o — price/quality balance, multimodal. Claude 3.5 Sonnet — best for long contexts (200k tokens) and creative writing. Llama 3.3 — for privacy, fixed-cost.

How to prevent LLM hallucinations?

RAG (model answers only from provided docs), low temperature (0.0–0.3), verification layer, system prompt restrictions, mandatory human review for critical domains.

Can data be kept in Kazakhstan?

Yes: (1) self-hosted Llama 3.3 on Hoster.kz/Cloud.kz/own server; (2) Anthropic Bedrock via AWS Frankfurt with DPA; (3) hybrid — context in KZ, LLM call abroad with PII masking.

Related: ChatGPT, RU, KZ.