mirror of
https://github.com/google-gemini/gemini-cli.git
synced 2026-06-13 12:57:12 -07:00
ae899acad5
This commit serves as the final polish for the context architecture unification.
Key Changes:
- **Lexical Cleansing:** Swept the entire `context` module (including tests, documentation, and snapshot configurations) to replace all legacy terms ('worker', 'ContextWorker', 'StateSnapshotWorker') with their modern unified equivalents ('async pipeline', 'AsyncContextProcessor', 'StateSnapshotAsyncProcessor').
- **Registry Cleanup:** Stripped `registry.ts` of `ContextWorkerDef` maps, unifying around a single, clean processor definition registry.
- **File Reorganization:** Dismantled the monolithic `sidecar/` directory (which initially housed both engine machinery and configuration loaders).
- `pipeline/`: Now houses the core execution engine (`orchestrator`, `inbox`, `contextWorkingBuffer`, `environment`).
- `config/`: Now exclusively contains the dynamic JSON configuration logic (`SidecarLoader`, `profiles`, `schema`, `registry`).
160 lines
5.2 KiB
TypeScript
160 lines
5.2 KiB
TypeScript
/**
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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 { ContextManager } from '../contextManager.js';
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import { AgentChatHistory } from '../../core/agentChatHistory.js';
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import type { Content } from '@google/genai';
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import type { ContextProfile } from '../config/profiles.js';
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import { ContextEnvironmentImpl } from '../pipeline/environmentImpl.js';
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import { ContextTracer } from '../tracer.js';
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import { ContextEventBus } from '../eventBus.js';
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import { PipelineOrchestrator } from '../pipeline/orchestrator.js';
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import { debugLogger } from '../../utils/debugLogger.js';
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import { DeterministicIdGenerator } from '../system/DeterministicIdGenerator.js';
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import { InMemoryFileSystem } from '../system/InMemoryFileSystem.js';
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import type { BaseLlmClient } from '../../core/baseLlmClient.js';
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export interface TurnSummary {
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turnIndex: number;
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tokensBeforeBackground: number;
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tokensAfterBackground: number;
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}
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export class SimulationHarness {
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readonly chatHistory: AgentChatHistory;
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contextManager!: ContextManager;
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env!: ContextEnvironmentImpl;
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orchestrator!: PipelineOrchestrator;
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readonly eventBus: ContextEventBus;
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config!: ContextProfile;
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private tracer!: ContextTracer;
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private currentTurnIndex = 0;
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private tokenTrajectory: TurnSummary[] = [];
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static async create(
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config: ContextProfile,
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mockLlmClient: BaseLlmClient,
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mockTempDir = '/tmp/sim',
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): Promise<SimulationHarness> {
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const harness = new SimulationHarness();
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await harness.init(config, mockLlmClient, mockTempDir);
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return harness;
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}
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private constructor() {
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this.chatHistory = new AgentChatHistory();
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this.eventBus = new ContextEventBus();
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}
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private async init(
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config: ContextProfile,
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mockLlmClient: BaseLlmClient,
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mockTempDir: string,
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) {
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this.config = config;
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this.tracer = new ContextTracer({
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targetDir: mockTempDir,
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sessionId: 'sim-session',
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});
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this.env = new ContextEnvironmentImpl(
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mockLlmClient,
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'sim-prompt',
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'sim-session',
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mockTempDir,
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mockTempDir,
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this.tracer,
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1, // 1 char per token average
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this.eventBus,
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new InMemoryFileSystem(),
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new DeterministicIdGenerator(),
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);
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this.orchestrator = new PipelineOrchestrator(
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config.buildPipelines(this.env),
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config.buildAsyncPipelines(this.env),
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this.env,
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this.eventBus,
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this.tracer,
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);
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this.contextManager = new ContextManager(
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config,
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this.env,
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this.tracer,
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this.orchestrator,
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this.chatHistory,
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);
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}
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/**
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* Simulates a single "Turn" (User input + Model/Tool outputs)
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* A turn might consist of multiple Content messages (e.g. user prompt -> model call -> user response -> model answer)
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*/
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async simulateTurn(messages: Content[]) {
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// 1. Append the new messages
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const currentHistory = this.chatHistory.get();
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this.chatHistory.set([...currentHistory, ...messages]);
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// 2. Measure tokens immediately after append (Before background processing)
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const tokensBefore = this.env.tokenCalculator.calculateConcreteListTokens(
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this.contextManager.getNodes(),
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);
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debugLogger.log(
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`[Turn ${this.currentTurnIndex}] Tokens BEFORE: ${tokensBefore}`,
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);
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// 3. Yield to event loop to allow internal async subscribers and orchestrator to finish
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await new Promise((resolve) => setTimeout(resolve, 50));
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// 3.1 Simulate what projectCompressedHistory does with the sync handlers
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let currentView = this.contextManager.getNodes();
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const currentTokens =
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this.env.tokenCalculator.calculateConcreteListTokens(currentView);
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if (this.config.config.budget && currentTokens > this.config.config.budget.maxTokens) {
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debugLogger.log(
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`[Turn ${this.currentTurnIndex}] Sync panic triggered! ${currentTokens} > ${this.config.config.budget.maxTokens}`,
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);
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const orchestrator = this.orchestrator;
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// In the V2 simulation, we trigger the 'gc_backstop' to simulate emergency pressure.
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// Since contextManager owns its buffer natively, the simulation now properly matches reality
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// where the manager runs the orchestrator and keeps the resulting modified view.
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const modifiedView = await orchestrator.executeTriggerSync(
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'gc_backstop',
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currentView,
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new Set(currentView.map((e) => e.id)),
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new Set<string>(),
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);
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// In the real system, ContextManager triggers this and retains it.
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// We will emulate that behavior internally in the test loop for token counting.
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currentView = modifiedView;
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}
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// 4. Measure tokens after background processors have processed inboxes
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const tokensAfter = this.env.tokenCalculator.calculateConcreteListTokens(
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this.contextManager.getNodes(),
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);
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debugLogger.log(
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`[Turn ${this.currentTurnIndex}] Tokens AFTER: ${tokensAfter}`,
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);
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this.tokenTrajectory.push({
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turnIndex: this.currentTurnIndex++,
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tokensBeforeBackground: tokensBefore,
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tokensAfterBackground: tokensAfter,
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});
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}
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async getGoldenState() {
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const finalProjection =
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await this.contextManager.projectCompressedHistory();
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return {
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tokenTrajectory: this.tokenTrajectory,
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finalProjection,
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};
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}
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}
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