Managed LLMOps

Models Change Every Month. Your LLM App Shouldn't Break.

LLM applications change underneath you. Providers release new models and retire old ones, prompts that worked start drifting, latency spikes, and token costs rise with usage.

Codersarts Managed LLMOps runs the operating layer of your LLM apps. We version every prompt, test every model change against your eval set before it ships, monitor uptime, latency and quality, route traffic across providers, and report cost and performance every month.

4.9/5 client rating · Clients in 50+ countries · Monthly plans · NDA on request · Working-hour overlap with US & Europe

WHAT'S INCLUDED

What's Included in Managed LLMOps?

• Prompt registry and versioning — Every prompt versioned, with history and owners.

• Regression testing — Eval suites run before any prompt or model change reaches production.

• Model upgrades and migrations — Tested moves between model versions and providers, with rollback.

• Routing and fallbacks — Multi-provider routing, retries and fallbacks for outages and rate limits.

• Observability — Tracing, latency, error and quality dashboards in Langfuse, LangSmith or your stack.

• Cost control — Token budgets, caching and routing to cut cost per request.

• Monthly LLMOps report — Quality, latency, uptime, incidents, changes shipped and spend.

SIGNS YOU NEED IT

Signs You Need Managed LLMOps

• A model upgrade changed outputs and nobody caught it before users did.

• Prompts live in code with no versions or history.

• You can't compare quality between two models on your own data.

• Token spend keeps rising without a clear reason.

• Your provider had an outage and your app had no fallback.

KEY FACTS

Key Facts

HOW WE WORK

How It Works

1. Review — we assess your current setup, data, integrations, costs and quality, and set a baseline

2. Scope and SLA — we agree what's in scope, quality measures, response times, reporting and price

3. Onboarding — access, monitoring, alerts and documentation set up; we take over day-to-day operation

4. Monthly — we operate, improve and report against the SLA, with recommendations for next steps

WHAT WE MEASURE

What We Measure Every Month

• Eval score per release

• p95 latency

• Uptime and error rate

• Cost per request and per user

• Regressions caught before release

WHO THIS IS FOR

Is This Right for You?

A strong fit if you are one of these:

• SaaS companies with LLM features used by customers every day.

• Teams running several prompts and models across products.

• Companies planning a move to a new model or provider.

• Engineering teams who want their developers on roadmap work.

PLATFORMS

Platforms We Support

OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama and other open models; Azure OpenAI, Amazon Bedrock, Vertex AI; LangChain, LlamaIndex; Langfuse, LangSmith, Helicone, Braintrust and Promptfoo.

See all technologies we work with.

PRICING

Pricing

Managed LLMOps starts from $1,499 per month. Pricing depends on the number of applications, prompts, providers and the SLA you need.

Compare all tiers on AI Managed Services Plans, or start with a free 14-day pilot review.

BUILD, FIX OR RUN

Build, Fix or Run: Choose the Right Service

Need it built? Start with one of these:

• MLOps & LLMOps Infrastructure

• LLM Integration & API Orchestration

Need a one-time fix? Use one of these:

• Codersarts Support

• Codersarts Tasks

Need it run every month? That's Managed LLMOps, part of Codersarts AI Managed Services.

FAQ

Frequently Asked Questions

What is managed LLMOps? An ongoing service that runs prompt management, model upgrades, testing, monitoring, routing and cost control for your LLM applications.

How is LLMOps different from MLOps? MLOps covers training and serving traditional models. LLMOps covers prompts, model providers, evals, routing and token costs for LLM applications.

Can you help us switch model providers? Yes. We compare models on your eval set, adapt prompts and roll out the change in stages with rollback.

Do we need to use a specific observability tool? No. We work with Langfuse, LangSmith, Helicone, Braintrust or the tools you already use.

How much does it cost? Plans start from $1,499 per month.

GET STARTED

Tell Us About Your AI System — Get a Plan in 48 Hours

Share a few details about what you're running and a Codersarts AI engineer will review it and send a recommended plan, scope and price.

What happens after you submit

1. Review — we look at your system and goals

2. Call — a 30-minute call to confirm scope

3. Plan — a written plan with SLA and price

4. Start — onboarding begins within a week

BACKED BY CODERSARTS

More Ways Codersarts Supports Your AI

• AI Managed Services — the full catalogue of AI systems we run for you

• Forward Deployed Engineers — AI engineers embedded in your team

• AI Strategy & Architecture Audit — a one-time review of your AI stack

• Hire Developers — dedicated developers for your roadmap

Related Services in This Cluster

• LLM Quality Monitoring — monthly evals, scoring and regression checks for live AI applications

• Managed AI Agents — monitoring, permissions, tuning and change control for production AI agents

• AI Red Teaming Services — adversarial testing and continuous security checks for AI apps and agents