AI Practice›LLM Integration

Production LLM integration, built for your stack.

Most teams string together API calls and call it done. We build the full integration layer — model abstraction, prompt versioning, fallback routing, cost controls, and observability — so LLMs become reliable components, not fragile scripts.

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model routing · production

Primary: gpt-4o

p50 843ms · $0.0031/req

Fallback: claude-3-haiku

auto-route on rate limit · 99.97% SLA

Cost tracking active

$1,240 MTD · 32% under budget

Output validation on

schema · PII · quality score ≥ 0.82

What we deliver

Every layer of a production-grade LLM integration.

Model abstraction layer

Vendor-agnostic wrapper so you can swap models without rewriting application code.

OpenAI · Anthropic · Gemini · Ollama

Prompt engineering

Versioned prompt templates, A/B evaluation, regression harnesses, and CI gates for prompt quality.

LangSmith · Promptfoo · custom eval

Token optimization

Semantic caching, request batching, streaming, and spend dashboards that keep costs predictable.

GPTCache · Redis · cost budgets

Fallback routing

Primary/secondary model routing with automatic failover on rate limits, latency spikes, or errors.

LiteLLM · custom router · circuit breaker

Observability

Latency histograms, token spend per endpoint, quality scoring, and alerts on degradation.

LangSmith · Datadog · Grafana

Safety & filtering

Output schema validation, PII detection and redaction, content moderation, and injection defense.

Guardrails AI · LLM-Guard · custom

Our approach

From API call to production system.

Model selection

We benchmark candidate models against your actual use case and data — not generic leaderboards.

Integration design

We design the API wrapper, auth model, context management, and caching architecture before touching code.

Prompt harness

We build, test, and version your prompt templates with an evaluation pipeline that catches regressions before deploy.

Production hardening

Monitoring, fallback routing, cost controls, and safety filters are built in from the start — not retrofitted.

Platforms & tools we integrate

OpenAI APIAnthropicGoogle GeminiMistralOllamaLiteLLMHuggingFaceLangSmithGuardrails AI

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Ready to integrate LLMs into your production stack?

No SDR, no discovery-call gauntlet. A senior AI practitioner personally reviews every submission and replies within one business day.

Model abstraction & routing layer

Prompt engineering & regression eval

Token cost optimization & caching

Output validation & safety guardrails

Direct contact

Use the contact form

(202) 903-9000