VegradeAI engineering
Capability

LLM Integration

Beyond API wrappers: routing, caching, streaming UX, evaluation gates, and operational controls—so product teams can ship confidently as traffic and regulatory scrutiny grow.

LLM surfaces engineered for policy, cost, and reliability at scale.

OpenAI, Anthropic, Azure OpenAI, self-hosted

Phases

4-phase program

Timeline

Surface-area dependent; commonly 6–12 weeks for multi-surface products

Outcomes

3 target deliverables

Problem framing

Where teams lose leverage

Latency spikes, inconsistent outputs, and unbounded spend undermine user trust. We treat LLM features as distributed systems with explicit budgets and measurable quality bars.

  • 1

    Prompt drift across environments causes production-only failures.

  • 2

    PII and secrets in prompts create audit and exfiltration risk.

  • 3

    Without caching and batching, unit economics collapse under growth.

Target outcomes

What this engagement delivers

  • SLO-backed latency and availability targets with dashboards

  • Versioned prompts and automated eval gates on every release

  • Documented redaction, retention, and regional deployment options

Scope

Deliverables we commit in writing

Exact backlog is tailored in discovery; below is representative of what enterprise buyers typically require for acceptance.

01

Provider abstraction with health checks, routing, and graceful degradation

02

Streaming UX with cancellation, partial results, and safe fallbacks

03

Caching, batching, and token accounting aligned to product surfaces

04

Synthetic and production-sampled eval suites with regression alerts

Program structure

Phased delivery model

Milestones map to artifacts you can review with engineering, security, and finance stakeholders.

1

Week 1

Surface inventory

User journeys, risk classes, and cost envelopes.

2

Weeks 1–3

Control plane

Policies, caching, routing, and observability design.

3

Weeks 3–9

Product integration

SDKs, UI patterns, eval harnesses, and staged rollout.

4

Week 9+

Hardening

Load tests, chaos drills, and handoff documentation.

Reference view

Logical architecture

Your production topology will reflect your cloud, identity, and data residency choices — this diagram communicates control points and trust boundaries we design around.

Technology

Typical stack (vendor-neutral)

We standardize on primitives your team can operate — and avoid stack-lock where it hurts maintainability after handoff.

Next.js / FastAPIRedisOpenAI · Anthropic · Azure · OSS hostsPrometheus / Grafana

Indicative timeline

Surface-area dependent; commonly 6–12 weeks for multi-surface products

Final scope depends on your data maturity, integration count, and compliance requirements — all defined in the written SOW.

Get a scoped estimate

Governance

Security and compliance posture

We implement technical controls and documentation suitable for enterprise procurement — not checkbox theater.

Configurable redaction and logging policies for sensitive inputs

Secrets management integrated with your existing KMS / vault patterns

Change management artifacts for enterprise security questionnaires

Procurement

Statements of work, change control, and optional penetration-test windows are scoped explicitly. Legal sign-off remains with your counsel.

FAQ

Technical and commercial questions

LLM Integration

Ready to scope this engagement?

Thirty-minute discovery call. Fixed written scope within a week. No open-ended hourly burn.