AI Agent Infrastructure Services for Your Business
AI agent queue infrastructure moves slow, unreliable agent jobs out of your web request and into workers that can retry, wait and recover. Omeiro sets up queues on Celery, Temporal and Redis, with exponential backoff, durable state and job streaming.
How AI agent infrastructure works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- A task is given
From a chat, a form or a schedule.
- The agent uses its tools
Only the tools and data you agree to give it.
- Important steps wait for a person
Sending, paying or deleting needs a human yes.
- Every step is logged
You can see what it did and why.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with AI agent infrastructure
High-concurrency background agent worker clusters managed via Celery, Temporal, and Redis. Resilient state persistence, exponential backoff retries, and high-throughput job streaming.
Basic Package
Celery or Redis queue for 1 agent job type, retries with backoff, source. 5-day delivery, 1 round + 30-day fixes.
Standard Package
Up to 4 job types, Temporal/Celery workflows, state persistence, Docker, docs. 9-day delivery, 1 round + 30-day fixes.
Premium Package
Autoscaling workers, dead-letter queue, dashboard, load test, 30 days support. 14-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our AI agent infrastructure works
Study the jobs
We note how long each agent task runs and how it fails.
Pick the engine
Celery, Redis or Temporal is chosen to match your needs.
Add resilience
Retries, backoff and persisted state keep jobs alive through failures.
Test under load
Higher tiers include scaling and load tests before handover.
AI agent queue design: choosing what happens when a job fails
Failure handling is the real design question. Agents call slow, rate-limited APIs, so an AI agent queue has to decide which errors deserve a retry, how long to wait between attempts and when to give up. Before ordering, list each job type with its typical duration, the external services it calls and whether running it twice would cause harm, such as sending a duplicate email. That last point decides whether jobs need safeguards against repeats.
Think about visibility as well. Users want to know whether their request is queued, running or finished, so progress states and result retrieval belong in the design. A good AI agent queue also limits concurrency, which protects you from rate limits and surprise bills when traffic spikes. Tell us your expected peak load, preferred hosting and any Redis instance or message broker you already run, and the queue can be fitted into what you have.
In short
- Delivery in 5 to 14 days, by package.
- Fixed price, shown before you order.
- Developers whose agent calls time out in the web request.
- Teams whose long-running jobs vanish when a server restarts.
- Copyright yours after full payment.
AI Agent Infrastructure: common questions
How much does AI agent infrastructure cost?
Prices are fixed and shown by package on our AI Agent Infrastructure pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does celery AI agent workers take?
Delivery depends on the package: Basic 5-day delivery; Standard 9-day delivery; Premium 14-day delivery.
What is included in the Basic Package?
The Basic Package includes: Celery or Redis queue for 1 agent job type, retries with backoff, source. Higher packages add more scope, revisions and support.
Can I get a custom scalable background AI agents package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Celery or Temporal?
Celery suits simple task queues. Temporal suits long workflows that must survive restarts.
Async llm job processing: do I need it?
If calls regularly run past a few seconds, yes.
What if a job keeps failing?
Premium adds a dead-letter queue to hold it for review.
Will it run in Docker?
Standard includes Docker.
What is a dead-letter queue?
It is a holding area for jobs that kept failing after all retries. Instead of disappearing, they wait there so someone can inspect the cause and replay them, and it is included in Premium.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your AI agent infrastructure?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.