The Google Interactions API is worth a close look, because somewhere along the way the standard advice in the WordPress ecosystem became the “Everything Prompt”: one massive, unmanageable block of context expected to carry logic, state and safety at the same time. That approach is killing application stability. After 14 years of wrestling with legacy code and race conditions, I can tell you that forcing complex state into a stateless sliding window of tokens ends in a support nightmare.
Google’s move toward structured interactions ends that hacky era. With AI becoming a fundamental layer in our sites, we need architecture that behaves like software instead of a magic trick that collapses the moment the context window shifts.
Where the “Everything Prompt” falls apart
In a normal chat loop built on the older generateContent methods, “state” is implicit. It exists only while you keep passing the history back and forth. That is roughly like managing a WooCommerce checkout by shoving the entire database into a hidden field on every request: bloated, expensive, and a good way to invite hallucinations.
Say a user is halfway through an onboarding wizard and asks something off topic. The model often loses its place, and you have no programmatic guarantee of where that user actually sits in the process. The Google Interactions API fixes that with a persistent Interaction resource that lives on Google’s servers.
Why the Google Interactions API matters for stateful apps
Unlike standard LLM endpoints, this one lets you point back at earlier context with a unique ID. Treat it like a server side session, or a persistent Transient for your AI agent. Instead of resending the whole history, you pass previous_interaction_id and Google pulls the context for you. Caching gets better and the token bill drops.
It also opens up high latency agentic workflows such as Google’s Deep Research agent. I have watched developers try to run those research tasks inside a synchronous loop, and it never works: you hit PHP max_execution_time, or the user’s browser gives up first. The Interactions API runs them as background tasks you poll for completion.
# Example: Initializing a stateful interaction with Gemini 2.5
from google import genai
client = genai.Client()
# This creates a persistent session record
interaction1 = client.interactions.create(
model="gemini-2.5-flash",
input="Hi, I am setting up a high-performance WordPress stack. Remember my name is Ahmad."
)
print(f"Interaction ID: {interaction1.id}")
# Later, you can resume without resending the intro
interaction2 = client.interactions.create(
model="gemini-2.5-flash",
input="What stack did I mention, and what is my name?",
previous_interaction_id=interaction1.id
)Managing long-running agentic tasks
For something as heavy as Gemini Deep Research, you can fire the request with background=True. In WordPress that means triggering the call, storing the ID in a meta field, then letting a WP-Cron or Action Scheduler job check the status on a schedule. That is how the front end stays responsive while the model is still “thinking.”
If you are already integrating an AI client into your own plugins, you will have to make the jump from “Chat” to “Interactions” sooner or later. The job changes from sending prompts to managing stateful resources.
If Google Interactions API work is eating your dev hours, hand it over. I have been wrestling with WordPress since the 4.x days.
What this changes
The “Everything Prompt” is a fine prototyping trick and a bad production pattern. The Google Interactions API separates the reasoning from the architecture: state persists, latency drops because Google holds the context, and heavy research tasks stop fighting your site’s execution flow. Anything past a toy project needs that separation.
