Lightweight single-turn prompting mode

[Nithanaroy]

Description

Context

I've been exploring the Prompt API for use cases that primarily involve single-turn conversations—quick, independent prompts where conversation history isn't needed. Examples include:

• Classification tasks ("Is this text spam?")
• One-off transformations ("Summarize this paragraph")
• Extracting structured data from a snippet of text

Current Approach

To achieve stateless single-turn behavior today, the recommended pattern seems to be:

const templateSession = await LanguageModel.create({
  initialPrompts: [{ role: "system", content: "You are a helpful assistant." }]
});

async function singleTurnPrompt(userMessage) {
  const freshSession = await templateSession.clone();
  const result = await freshSession.prompt(userMessage);
  freshSession.destroy();
  return result;
}

Alternatively, reusing the same session causes conversation history to accumulate, which can influence later prompts and eventually triggers quotaoverflow.

The Problem

The clone-prompt-destroy cycle introduces overhead for every single-turn prompt:

1. clone() — Copies session state (async, takes time)
2. prompt() — Runs the actual inference
3. destroy() — Cleans up the cloned session

For high-frequency single-turn use cases, this overhead adds up and feels unnecessary.

Proposal

I'd like to suggest considering one of the following (or a combination):

Option A: Stateless session mode

A session option that automatically discards conversation history after each prompt:

const session = await LanguageModel.create({ stateless: true });

// Each prompt is independent—no history retained
const result1 = await session.prompt("Is this spam? 'You won a prize!'");
const result2 = await session.prompt("Summarize: 'The quick brown fox...'");

Option B: Static single-turn method

A convenience method on LanguageModel for one-off prompts without explicit session management:

const result = await LanguageModel.prompt("What is 2 + 2?");

// With options
const result2 = await LanguageModel.prompt("Classify this sentiment", {
  systemPrompt: "You are a sentiment classifier. Respond with: positive, negative, or neutral.",
  temperature: 0.2
});

Option C: Browser-managed session pool

The browser maintains a pool of pre-warmed sessions internally. Single-turn calls would draw from this pool, avoiding the setup cost:

const result = await LanguageModel.promptOnce("Quick question here");

Benefits

• Performance — Eliminates clone/destroy overhead for single-turn use cases
• Developer experience — Simpler API for common use cases
• Resource efficiency — Browser could optimize session reuse internally better than userland code

[cb8382671-cpu]

const templateSession = await LanguageModel.create({
initialPrompts: [{ role: "system", content: "You are a helpful assistant." }]
});

async function singleTurnPrompt(userMessage) {
const freshSession = await templateSession.clone();
const result = await freshSession.prompt(userMessage);
freshSession.destroy();
return result;
}

[cb8382671-cpu]

const templateSession = await LanguageModel.create({
initialPrompts: [{ role: "system", content: "You are a helpful assistant." }]
});

async function singleTurnPrompt(userMessage) {
const freshSession = await templateSession.clone();
const result = await freshSession.prompt(userMessage);
freshSession.destroy();
return result;
}

[cb8382671-cpu]

const result = await LanguageModel.promptOnce("Quick question here");

[cb8382671-cpu]

const result = await LanguageModel.promptOnce("Quick question here");