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https://github.com/google-gemini/gemini-cli.git
synced 2026-04-21 10:34:35 -07:00
feat(core): experimental in-progress steering hints (1 of 3) (#19008)
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@@ -0,0 +1,146 @@
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/**
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* @license
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* Copyright 2026 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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import { describe, it, expect, vi } from 'vitest';
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import type { BaseLlmClient } from '../core/baseLlmClient.js';
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import {
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DEFAULT_FAST_ACK_MODEL_CONFIG_KEY,
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generateFastAckText,
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truncateFastAckInput,
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generateSteeringAckMessage,
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} from './fastAckHelper.js';
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import { LlmRole } from 'src/telemetry/llmRole.js';
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describe('truncateFastAckInput', () => {
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it('returns input as-is when below limit', () => {
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expect(truncateFastAckInput('hello', 10)).toBe('hello');
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});
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it('truncates and appends suffix when above limit', () => {
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const input = 'abcdefghijklmnopqrstuvwxyz';
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const result = truncateFastAckInput(input, 20);
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// grapheme count is 20
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const segmenter = new Intl.Segmenter(undefined, {
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granularity: 'grapheme',
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});
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expect(Array.from(segmenter.segment(result)).length).toBe(20);
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expect(result).toContain('...[truncated]');
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});
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it('is grapheme aware', () => {
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const input = '👨👩👧👦'.repeat(10); // 10 family emojis
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const result = truncateFastAckInput(input, 5);
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// family emoji is 1 grapheme
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expect(result).toBe('👨👩👧👦👨👩👧👦👨👩👧👦👨👩👧👦👨👩👧👦');
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});
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});
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describe('generateFastAckText', () => {
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const abortSignal = new AbortController().signal;
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it('uses the default fast-ack-helper model config and returns response text', async () => {
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const llmClient = {
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generateContent: vi.fn().mockResolvedValue({
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candidates: [
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{ content: { parts: [{ text: ' Got it. Skipping #2. ' }] } },
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],
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}),
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} as unknown as BaseLlmClient;
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const result = await generateFastAckText(llmClient, {
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instruction: 'Write a short acknowledgement sentence.',
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input: 'skip #2',
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fallbackText: 'Got it.',
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abortSignal,
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promptId: 'test',
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});
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expect(result).toBe('Got it. Skipping #2.');
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expect(llmClient.generateContent).toHaveBeenCalledWith({
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modelConfigKey: DEFAULT_FAST_ACK_MODEL_CONFIG_KEY,
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contents: expect.any(Array),
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abortSignal,
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promptId: 'test',
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maxAttempts: 1,
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role: LlmRole.UTILITY_FAST_ACK_HELPER,
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});
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});
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it('returns fallback text when response text is empty', async () => {
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const llmClient = {
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generateContent: vi.fn().mockResolvedValue({}),
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} as unknown as BaseLlmClient;
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const result = await generateFastAckText(llmClient, {
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instruction: 'Return one sentence.',
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input: 'cancel task 2',
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fallbackText: 'Understood. Cancelling task 2.',
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abortSignal,
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promptId: 'test',
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});
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expect(result).toBe('Understood. Cancelling task 2.');
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});
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it('returns fallback text when generation throws', async () => {
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const llmClient = {
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generateContent: vi.fn().mockRejectedValue(new Error('boom')),
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} as unknown as BaseLlmClient;
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const result = await generateFastAckText(llmClient, {
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instruction: 'Return one sentence.',
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input: 'cancel task 2',
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fallbackText: 'Understood.',
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abortSignal,
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promptId: 'test',
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});
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expect(result).toBe('Understood.');
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});
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});
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describe('generateSteeringAckMessage', () => {
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it('returns a shortened acknowledgement using fast-ack-helper', async () => {
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const llmClient = {
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generateContent: vi.fn().mockResolvedValue({
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candidates: [
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{
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content: {
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parts: [{ text: 'Got it. I will focus on the tests now.' }],
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},
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},
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],
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}),
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} as unknown as BaseLlmClient;
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const result = await generateSteeringAckMessage(
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llmClient,
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'focus on tests',
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);
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expect(result).toBe('Got it. I will focus on the tests now.');
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});
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it('returns a fallback message if the model fails', async () => {
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const llmClient = {
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generateContent: vi.fn().mockRejectedValue(new Error('timeout')),
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} as unknown as BaseLlmClient;
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const result = await generateSteeringAckMessage(
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llmClient,
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'a very long hint that should be truncated in the fallback message if it was longer but it is not',
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);
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expect(result).toContain('Understood. a very long hint');
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});
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it('returns a very simple fallback if hint is empty', async () => {
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const llmClient = {
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generateContent: vi.fn().mockRejectedValue(new Error('error')),
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} as unknown as BaseLlmClient;
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const result = await generateSteeringAckMessage(llmClient, ' ');
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expect(result).toBe('Understood. Adjusting the plan.');
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});
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});
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@@ -0,0 +1,199 @@
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/**
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* @license
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* Copyright 2026 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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import { LlmRole } from '../telemetry/llmRole.js';
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import type { BaseLlmClient } from '../core/baseLlmClient.js';
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import type { ModelConfigKey } from '../services/modelConfigService.js';
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import { debugLogger } from './debugLogger.js';
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import { getResponseText } from './partUtils.js';
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export const DEFAULT_FAST_ACK_MODEL_CONFIG_KEY: ModelConfigKey = {
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model: 'fast-ack-helper',
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};
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export const DEFAULT_MAX_INPUT_CHARS = 1200;
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export const DEFAULT_MAX_OUTPUT_CHARS = 180;
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const INPUT_TRUNCATION_SUFFIX = '\n...[truncated]';
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/**
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* Normalizes whitespace in a string and trims it.
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*/
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export function normalizeSpace(text: string): string {
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return text.replace(/\s+/g, ' ').trim();
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}
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/**
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* Grapheme-aware slice.
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*/
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function safeSlice(text: string, start: number, end?: number): string {
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const segmenter = new Intl.Segmenter(undefined, { granularity: 'grapheme' });
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const segments = Array.from(segmenter.segment(text));
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return segments
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.slice(start, end)
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.map((s) => s.segment)
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.join('');
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}
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/**
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* Grapheme-aware length.
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*/
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function safeLength(text: string): number {
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const segmenter = new Intl.Segmenter(undefined, { granularity: 'grapheme' });
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let count = 0;
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for (const _ of segmenter.segment(text)) {
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count++;
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}
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return count;
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}
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export const USER_STEERING_INSTRUCTION =
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'Internal instruction: Re-evaluate the active plan using this user steering update. ' +
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'Classify it as ADD_TASK, MODIFY_TASK, CANCEL_TASK, or EXTRA_CONTEXT. ' +
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'Apply minimal-diff changes only to affected tasks and keep unaffected tasks active. ' +
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'Do not cancel/skip tasks unless the user explicitly cancels them. ' +
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'Acknowledge the steering briefly and state the course correction.';
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/**
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* Wraps user input in XML-like tags to mitigate prompt injection.
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*/
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function wrapInput(input: string): string {
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return `<user_input>\n${input}\n</user_input>`;
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}
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export function buildUserSteeringHintPrompt(hintText: string): string {
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const cleanHint = normalizeSpace(hintText);
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return `User steering update:\n${wrapInput(cleanHint)}\n${USER_STEERING_INSTRUCTION}`;
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}
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export function formatUserHintsForModel(hints: string[]): string | null {
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if (hints.length === 0) {
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return null;
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}
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const hintText = hints.map((hint) => `- ${normalizeSpace(hint)}`).join('\n');
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return `User hints:\n${wrapInput(hintText)}\n\n${USER_STEERING_INSTRUCTION}`;
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}
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const STEERING_ACK_INSTRUCTION =
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'Write one short, friendly sentence acknowledging a user steering update for an in-progress task. ' +
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'Be concrete when possible (e.g., mention skipped/cancelled item numbers). ' +
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'Do not apologize, do not mention internal policy, and do not add extra steps.';
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const STEERING_ACK_TIMEOUT_MS = 1200;
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const STEERING_ACK_MAX_INPUT_CHARS = 320;
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const STEERING_ACK_MAX_OUTPUT_CHARS = 90;
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function buildSteeringFallbackMessage(hintText: string): string {
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const normalized = normalizeSpace(hintText);
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if (!normalized) {
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return 'Understood. Adjusting the plan.';
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}
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if (safeLength(normalized) <= 64) {
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return `Understood. ${normalized}`;
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}
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return `Understood. ${safeSlice(normalized, 0, 61)}...`;
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}
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export async function generateSteeringAckMessage(
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llmClient: BaseLlmClient,
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hintText: string,
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): Promise<string> {
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const fallbackText = buildSteeringFallbackMessage(hintText);
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const abortController = new AbortController();
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const timeout = setTimeout(
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() => abortController.abort(),
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STEERING_ACK_TIMEOUT_MS,
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);
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try {
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return await generateFastAckText(llmClient, {
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instruction: STEERING_ACK_INSTRUCTION,
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input: normalizeSpace(hintText),
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fallbackText,
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abortSignal: abortController.signal,
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maxInputChars: STEERING_ACK_MAX_INPUT_CHARS,
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maxOutputChars: STEERING_ACK_MAX_OUTPUT_CHARS,
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promptId: 'steering-ack',
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});
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} finally {
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clearTimeout(timeout);
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}
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}
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export interface GenerateFastAckTextOptions {
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instruction: string;
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input: string;
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fallbackText: string;
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abortSignal: AbortSignal;
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promptId: string;
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modelConfigKey?: ModelConfigKey;
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maxInputChars?: number;
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maxOutputChars?: number;
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}
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export function truncateFastAckInput(
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input: string,
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maxInputChars: number = DEFAULT_MAX_INPUT_CHARS,
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): string {
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const suffixLength = safeLength(INPUT_TRUNCATION_SUFFIX);
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if (maxInputChars <= suffixLength) {
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return safeSlice(input, 0, Math.max(maxInputChars, 0));
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}
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if (safeLength(input) <= maxInputChars) {
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return input;
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}
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const keepChars = maxInputChars - suffixLength;
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return safeSlice(input, 0, keepChars) + INPUT_TRUNCATION_SUFFIX;
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}
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export async function generateFastAckText(
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llmClient: BaseLlmClient,
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options: GenerateFastAckTextOptions,
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): Promise<string> {
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const {
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instruction,
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input,
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fallbackText,
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abortSignal,
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promptId,
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modelConfigKey = DEFAULT_FAST_ACK_MODEL_CONFIG_KEY,
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maxInputChars = DEFAULT_MAX_INPUT_CHARS,
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maxOutputChars = DEFAULT_MAX_OUTPUT_CHARS,
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} = options;
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const safeInstruction = instruction.trim();
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if (!safeInstruction) {
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return fallbackText;
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}
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const safeInput = truncateFastAckInput(input.trim(), maxInputChars);
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const prompt = `${safeInstruction}\n\nUser input:\n${wrapInput(safeInput)}`;
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try {
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const response = await llmClient.generateContent({
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modelConfigKey,
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contents: [{ role: 'user', parts: [{ text: prompt }] }],
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role: LlmRole.UTILITY_FAST_ACK_HELPER,
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abortSignal,
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promptId,
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maxAttempts: 1, // Fast path, don't retry much
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});
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const responseText = normalizeSpace(getResponseText(response) || '');
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if (!responseText) {
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return fallbackText;
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}
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if (maxOutputChars > 0 && safeLength(responseText) > maxOutputChars) {
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return safeSlice(responseText, 0, maxOutputChars).trimEnd();
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}
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return responseText;
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} catch (error) {
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debugLogger.debug(
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`[FastAckHelper] Generation failed: ${error instanceof Error ? error.message : String(error)}`,
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);
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return fallbackText;
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}
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}
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