Use case

Multi-provider LLM failover without provider-specific rewrites

Production AI apps need a plan for upstream rate limits, outages, model changes and regional access issues. PEKPIK LLM helps teams keep one application interface while routing across multiple model families and upstream channels.

Request access Read quickstart View model catalog

Primary query

LLM failover

Why teams search for this

Use provider diversity to reduce dependence on a single upstream path.

Keep app code stable while model routing changes behind the gateway.

Pair premium and value models based on user impact and risk.

Test fallback responses before an incident, not during one.

Where PEKPIK fits

Good fit

OKAI features are part of your user-facing product experience.
OKRate limits or provider incidents have already affected your app.
OKYou need fallback paths but do not want to own a full routing stack.

Check first

!Fallback models should be tested for formatting, safety and task accuracy.
!Not every model can replace every other model for every prompt.
!Critical workflows may need user-visible degradation rather than silent substitution.

OpenAI-compatible example

base_url swap

from openai import OpenAI

client = OpenAI(
    base_url="https://aiapiv2.pekpik.com/v1",
    api_key="sk-...",
)

response = client.chat.completions.create(
    model="claude-opus-4-7",
    messages=[{"role": "user", "content": "Summarize this for a product team."}],
)

Suggested rollout

01

Define primary and fallback model IDs for each workload.
02

Run fallback models through the same regression tests as the primary.
03

Decide when to retry, when to fall back and when to show a controlled failure.
04

Monitor latency, error rate and user-visible quality after launch.

FAQ

Is failover the same as automatic model swapping?

No. Good failover is intentional and tested. The fallback model should be chosen for the task and monitored after launch.

Can one gateway improve availability?

A gateway can simplify access to multiple upstream paths and model families, but your application still needs tested fallback behavior.