Services / 04
LLM integration services for SaaS products and internal operations. Ship Claude, GPT-4 or Gemini into your existing application with streaming, cost controls, prompt engineering, guardrails and evaluation — the things that separate a demo from a production system.
Claude for hard reasoning, GPT-4o for multimodal, Gemini Flash for cheap bulk. One integration, routed automatically to the right model per task.
SSE or WebSocket streaming so users see tokens as they generate. Stop/retry controls. Works on slow networks.
Prompt prefix caching, semantic caching, token budgets, per-user rate limits. Cost dashboards from day one.
Prompt injection defence, PII redaction, output filtering, tool-use sandboxing. Safe for production traffic.
Golden test sets, regression tests on every deploy, automated scoring. Prompts behave like code — versioned, tested, reviewed.
Llama 3.3, Mistral, Qwen on Ollama/vLLM. For regulated data or high-volume cost reasons.
LLM providers
Anthropic Claude · OpenAI GPT-4 / GPT-4o · Google Gemini · Groq · Together · Fireworks · Ollama (self-hosted)
Caching & routing
Anthropic prompt cache · Redis semantic cache · Portkey gateway · LiteLLM · custom routers
Streaming
Server-Sent Events · WebSockets · Vercel AI SDK · AsyncIterable streams
Eval & observability
LangSmith · LangFuse · Helicone · Braintrust · custom tracing
Frontend
React · Next.js 15 · Vercel AI SDK UI · shadcn/ui · Tailwind
Backend
FastAPI · Node.js · Express · NestJS · Hono · Cloudflare Workers
patmaster.online
iklavya.in
Single feature
$1,500 – $4,000
One LLM-powered feature integrated into your product with streaming, auth, rate limits. 1 week.
Multi-feature
$6,000 – $15,000
Several LLM features, routing, caching, evaluation harness, dashboards. 2–4 weeks.
Platform
$20,000+
LLM integration layer across multiple products or teams with shared infra. 6+ weeks.
Fixed-price or monthly retainer. NDA and IP-assignment standard. Hourly available on request.
LLM integration is the work of wiring large language models (Claude, GPT-4, Gemini) into your existing product or internal operations — authentication, rate limits, streaming, cost controls, prompt engineering, guardrails, evaluation, monitoring. It’s the gap between "I tried Claude in a playground" and "Claude runs our customer support at 5,000 conversations a day."
Depends on the task. Claude Sonnet/Opus for reasoning-heavy and long-context work. GPT-4o for balanced general-purpose and cheaper multimodal. Gemini 2.0 Flash for cost-sensitive high-volume. I often route between them based on task and cost. I’ve shipped production systems on all three.
Caching at multiple layers (prompt prefix cache, semantic cache for similar queries), model routing (cheap model for easy tasks, expensive model for hard ones), token budgets, truncation, and per-user rate limits. Cost dashboards from day one so the bill never surprises anyone.
Treat every user input as untrusted. Separate system instructions from user content clearly. Sanitise tool arguments with schemas. Use a classifier to flag injection attempts. For high-stakes actions, require human confirmation. Never have the LLM execute code from user input directly.
Yes. Typical integrations include Intercom, Zendesk, HubSpot, Salesforce, Slack, Notion, Linear, Jira, custom internal tools via REST. Streaming responses to your UI, tool use for reads/writes, audit logs for every action.
Server-Sent Events (SSE) or WebSockets to stream tokens as they generate. Graceful degradation for slow networks. Stop/retry controls for the user. I ship streaming by default — non-streaming feels broken in 2026.
Yes. Llama 3.3, Mistral, Qwen via Ollama or vLLM. Deployed on GPU instances (AWS g6, GCP A100) or Groq/Together inference endpoints. Right choice for regulated industries or high-volume cost optimisation.
Offline: golden dataset with expected behaviours, run on every deploy. Online: sampled human review, automated LLM-as-judge scoring, user feedback loops. Every integration I ship has regression tests for the prompts.
Same-week start. Email reply within 24 hours. Written enquiries welcome.