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/**
* @license
* Copyright 2026 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import { describe, it, expect, vi, beforeAll, afterAll } from 'vitest';
import { SimulationHarness } from './SimulationHarness.js';
import type { SidecarConfig } from '../sidecar/types.js';
expect.addSnapshotSerializer({
test: (val) =>
typeof val === 'string' &&
(/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(val) ||
/^\/tmp\/sim/.test(val)), // Mask temp directories and UUIDs
print: (val) => (typeof val === 'string' && /^\/tmp\/sim/.test(val) ? '"<MOCKED_DIR>"' : '"<UUID>"'),
});
describe('System Lifecycle Golden Tests', () => {
beforeAll(() => {
vi.spyOn(Math, 'random').mockReturnValue(0.5);
});
afterAll(() => {
vi.restoreAllMocks();
});
const getAggressiveConfig = (): SidecarConfig => ({
budget: { maxTokens: 4000, retainedTokens: 2000 }, // Extremely tight limits
gcBackstop: { strategy: 'truncate', target: 'max' },
pipelines: [
{
name: 'Pressure Relief', // Emits from eventBus 'budget_exceeded'
execution: 'background',
triggers: ['budget_exceeded'],
processors: [
{ processorId: 'BlobDegradationProcessor' },
{ processorId: 'ToolMaskingProcessor', options: { stringLengthThresholdTokens: 50 } }, // Mask any tool string > 200 chars
{ processorId: 'StateSnapshotProcessor', options: {} } // Squash old history
]
},
{
name: 'Immediate Sanitization', // The magic string the projector is hardcoded to use
execution: 'blocking',
triggers: ['budget_exceeded'],
processors: [
{ processorId: 'EmergencyTruncationProcessor', options: {} }
]
}
]
});
const mockLlmClient = {
generateContent: vi.fn().mockResolvedValue({
text: '<MOCKED_STATE_SNAPSHOT_SUMMARY>',
})
};
it('Scenario 1: Organic Growth with Huge Tool Output & Images', async () => {
const harness = await SimulationHarness.create(getAggressiveConfig(), mockLlmClient);
// Turn 0: System Prompt
await harness.simulateTurn([
{ role: 'user', parts: [{ text: 'System Instructions' }] },
{ role: 'model', parts: [{ text: 'Ack.' }] }
]);
// Turn 1: Normal conversation
await harness.simulateTurn([
{ role: 'user', parts: [{ text: 'Hello!' }] },
{ role: 'model', parts: [{ text: 'Hi, how can I help?' }] }
]);
// Turn 2: Massive Tool Output (Should trigger ToolMaskingProcessor in background)
await harness.simulateTurn([
{ role: 'user', parts: [{ text: 'Read the logs.' }] },
{ role: 'model', parts: [{ functionCall: { name: 'run_shell_command', args: { cmd: 'cat server.log' } } }] },
{ role: 'user', parts: [{ functionResponse: { name: 'run_shell_command', response: { output: 'LOG '.repeat(5000) } } }] },
{ role: 'model', parts: [{ text: 'The logs are very long.' }] }
]);
// Turn 3: Multi-modal blob (Should trigger BlobDegradationProcessor)
await harness.simulateTurn([
{ role: 'user', parts: [{ text: 'Look at this architecture diagram:' }, { inlineData: { mimeType: 'image/png', data: 'fake_base64_data_'.repeat(1000) } }] },
{ role: 'model', parts: [{ text: 'Nice diagram.' }] }
]);
// Turn 4: More conversation to trigger StateSnapshot
await harness.simulateTurn([
{ role: 'user', parts: [{ text: 'Can we refactor?' }] },
{ role: 'model', parts: [{ text: 'Yes we can.' }] }
]);
// Get final state
const goldenState = await harness.getGoldenState();
// In a perfectly functioning opportunistic system, the token trajectory should show
// the massive spikes in Turn 2 and 3 being immediately resolved by the background tasks.
// The final projection should fit neatly under the Max Tokens limit.
expect(goldenState).toMatchSnapshot();
});
});