LLM Reliability & Cost Engineering

Make LLM features dependable and affordable — multi-provider failover, structured outputs, evals, and latency/cost tuning.

Overview

Model calls fail, drift, and cost money. We make LLM features production-grade: multi-provider failover so one outage does not take you down, enforced structured outputs, evaluation harnesses to catch regressions, and latency and cost optimization.

Our Approach

Multi-provider failover

Route across providers so a single outage or rate limit does not break your product.

Structured-output enforcement

Guarantee machine-usable responses instead of parsing free text and hoping.

Evals & cost tuning

Measure quality with real evals; cut latency and spend without losing accuracy.

Key Benefits

Our Methodology

Measure

Build an evaluation harness first, so quality is a number that moves rather than an impression that shifts.

Make it survive

Route across providers so one outage or rate limit does not take the feature down, and enforce structured outputs instead of parsing free text and hoping.

Tune

Cut latency and spend against the evals, so a cheaper or faster configuration has to prove it did not cost accuracy.

Keep it honest

Wire the evals into your own pipeline, so the next model or prompt change is checked rather than assumed.

Key Deliverables

Success Stories

TrueTalk — multi-provider failover in production

A product whose core feature is a model call inherits that model's outages. TrueTalk runs on a reliable LLM backend with multi-provider failover and structured guidance, so a single provider going down does not take the product with it.

Stewra — reliability under real-time constraints

Real-time voice leaves no room to retry quietly. Stewra combines multi-provider LLM routing with LiveKit real-time, where reliability work has to hold inside a live conversation.

Where This Applies

Common questions

Our LLM feature works. Why would we need this?

Model calls fail, drift, and cost money, and all three usually show up after launch rather than before. Multi-provider failover means one provider's outage is not your outage; enforced structured outputs mean you stop parsing free text and hoping; an evaluation harness means a prompt or model change is checked rather than assumed. If none of those has bitten yet, this work is insurance — which is cheapest bought early.

Will cutting cost make the output worse?

That is exactly what the evaluation harness is for, and it is why we build it first. Quality becomes a number that moves rather than an impression that shifts, so a cheaper or faster configuration has to prove it did not cost accuracy before it ships.

Do we get locked into a particular model provider?

The opposite. Routing across providers is the point — it is what stops a single outage or rate limit from breaking your product, and it has the side effect of making a provider switch a configuration change rather than a project.

What do we actually receive at the end?

A reliability and failover design, an evaluation harness wired into your own pipeline, and a cost and latency optimisation report measured against that harness.

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