P0-P8: Full V1.0.0 Alpha implementation + audit reports
Implements 123 tasks across 9 phases (T-001..T-809) totaling 146 source files. Monorepo (P0): - 7-package Bun + Turborepo + TypeScript monorepo - dependency-cruiser enforcing 7 forbidden edges + 5 deep-import rules Contracts (P0): - 16 type files (ids/error/event/runtime/ipc/task/worker-result/tool/artifact/evidence/project/provider/permission/ui/capability/platform) Storage & Events (P1): - DatabaseManager + MigrationRunner (19 tables, 22 indexes, 5 schema_meta seeds) - 16 repositories (Repository<T,I,U> pattern, INV-1 status columns via EventStore.project only) - EventSchemaRegistry (54 durable + 7 ephemeral), EventStore, EventBus, EventIngestor - Project/Session/Artifact/Evidence stores + 8-step Recovery Tools & Permission (P2): - PathClassifier (8 categories), CommandRiskAnalyzer (10 categories), SecretRedactor - PermissionEngine 6-layer evaluation (capability→profile→task_scope→risk→credential→user_prompt) - ToolRegistry with 20+ tools across fs/shell/git/project/artifact/context/permission/doctor - CapabilityManifestValidator + CapabilityRegistry LLM & Context (P3): - ModelConfigLoader, CapabilityMatrix, AnthropicCanonicalConverter - AnthropicAdapter + OpenAICompatibleAdapter - ProviderManager facade - PromptLayerLoader (L0/L1/L3/L5), CompactionPolicy, ContextAssembler Worker IPC & Scheduler (P4): - WorkerProtocol (NDJSON), WorkerProcess (exit codes 0-5), WorkerManager (spawn/handshake) - WorkerRuntime (INV-3: IPC only, no direct fs/shell/SQLite) - 5 worker roles (Executor/Reviewer/Debugger/Compactor/ExperienceMiner) - TaskGraph, WavePlanner, RetryPlanner, AgentMonitor, WorkspaceManager - Scheduler (state machine), 8-step Recovery C++ Toolchain (P5): - DiagnosticParser, CppProjectDetector, CMakeConfigurator, CppBuilder - CppTestRunner, CppcheckRunner, ClangdClient - CppToolRegistrar + capability manifest Projection & TUI (P6): - ProjectionStore (hydrate/apply/snapshot/subscribe) - TuiApp + 8 components (Session/Task/Agent/Tool/Diff/Evidence/Permission/Blocker/Hud) - ProjectionClient in-process ref Agents & Knowledge (P7): - MainAgent, ArchitectureDesigner - DebugKnowledgeStore + LearnedMemoryStore (single-writer, outbox model) - Role integration wiring CLI & Doctor & Release (P8): - Logger + DeveloperLogEncryptor (AES-256-GCM) - DoctorService (self_bootstrap first) - RuntimeApp + ServiceRegistry - 11 CLI commands: run/init/doctor/provider/resume/compact/history/session/restore/e2e/release - CliEntrypoint + air<TODO> Audit (in AirPlan/docs/): - Deepseek开发阶段审计.md (97 findings) - Opus开发阶段审计.md (140+ findings, 18 P0 blockers) - MiniMaxM3开发阶段审计.md (18 P0 blockers, focuses on executability) - AirPlan/TODO.md (technical debt + 42 TODOs by phase) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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packages/runtime/src/context/PromptLayerLoader.ts
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320
packages/runtime/src/context/PromptLayerLoader.ts
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/**
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* PromptLayerLoader - Loads prompt layers from external resources
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*
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* Implements contracts §16; DD §10.2.
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* 4 methods: load_runtime_invariant (L0), load_role (L1, worker AgentType only),
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* load_project_rules (L3), load_task_context (L5).
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*
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* @module packages/runtime/src/context/PromptLayerLoader
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*/
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import { readFileSync, existsSync } from 'fs'
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import { join, dirname } from 'path'
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import { fileURLToPath } from 'url'
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import type { PromptLayer, PromptLayerLevel, AgentType } from '@aircoding/contracts'
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const __filename = fileURLToPath(import.meta.url)
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const __dirname = dirname(__filename)
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const BUILTIN_PROMPTS_DIR = join(__dirname, '..', 'context', 'prompts')
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export class PromptLayerLoader {
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private prompts_dir: string
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constructor(prompts_dir?: string) {
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this.prompts_dir = prompts_dir || BUILTIN_PROMPTS_DIR
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}
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/**
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* Load L0: Runtime invariant prompt.
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* Includes INV-1..5, core safety rules.
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*/
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load_runtime_invariant(): PromptLayer {
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const path = join(this.prompts_dir, 'runtime_invariant.md')
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let content = this.read_or_default(path, DEFAULT_L0_INVARIANT)
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return {
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level: 'runtime_invariant',
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priority: 0,
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content,
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token_estimate: content.length / 4,
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source_ref: path,
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immutable: true
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}
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}
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/**
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* Load L1: Role-specific prompt.
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* Accepts only worker AgentType (executor/reviewer/debugger/compactor/experience_miner).
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* Runtime roles (main/architecture_designer/scheduler) load built-in directly.
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*/
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load_role(role: AgentType): PromptLayer {
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const path = join(this.prompts_dir, 'roles', `${role}.md`)
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const content = this.read_or_default(path, default_role_prompt(role))
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return {
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level: 'role',
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priority: 1,
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content,
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token_estimate: content.length / 4,
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source_ref: path,
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immutable: false
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}
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}
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/**
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* Load L3: Project rules from .air/ directory.
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*/
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load_project_rules(project: { project_id: string; project_root: string }): PromptLayer[] {
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const layers: PromptLayer[] = []
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// Load .air/shared/rules.md
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const shared_rules = join(project.project_root, '.air', 'shared', 'rules.md')
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if (existsSync(shared_rules)) {
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const content = readFileSync(shared_rules, 'utf-8')
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layers.push({
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level: 'project_rules',
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priority: 3,
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content,
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token_estimate: content.length / 4,
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source_ref: shared_rules
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})
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}
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// Load .air/local/rules.md (overrides)
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const local_rules = join(project.project_root, '.air', 'local', 'rules.md')
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if (existsSync(local_rules)) {
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const content = readFileSync(local_rules, 'utf-8')
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layers.push({
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level: 'project_rules',
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priority: 2, // higher than shared
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content,
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token_estimate: content.length / 4,
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source_ref: local_rules
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})
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}
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return layers
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}
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/**
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* Load L5: Task context (plan refs, arc refs, artifacts).
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*/
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load_task_context(
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spec: {
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id: string
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type: string
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title: string
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description: string
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acceptance_criteria: string[]
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},
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context_refs: { plan_ref?: string; arc_ref?: string; artifacts?: string[] }
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): PromptLayer[] {
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const layers: PromptLayer[] = []
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// Task spec layer
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const task_content = [
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`# Task: ${spec.title}`,
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`ID: ${spec.id}`,
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`Type: ${spec.type}`,
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'',
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`## Description`,
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spec.description,
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'',
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'## Acceptance Criteria',
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...spec.acceptance_criteria.map((c, i) => `${i + 1}. ${c}`)
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].join('\n')
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layers.push({
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level: 'task_spec',
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priority: 5,
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content: task_content,
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token_estimate: task_content.length / 4
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})
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// Plan reference
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if (context_refs.plan_ref) {
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const content = `# Implementation Plan\nRef: ${context_refs.plan_ref}`
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layers.push({
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level: 'task_spec',
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priority: 6,
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content,
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token_estimate: content.length / 4,
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source_ref: context_refs.plan_ref
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})
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}
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// Architecture reference
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if (context_refs.arc_ref) {
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const content = `# Architecture\nRef: ${context_refs.arc_ref}`
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layers.push({
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level: 'architecture',
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priority: 4,
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content,
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token_estimate: content.length / 4,
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source_ref: context_refs.arc_ref
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})
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}
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return layers
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}
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private read_or_default(path: string, default_content: string): string {
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if (existsSync(path)) {
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return readFileSync(path, 'utf-8')
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}
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return default_content
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}
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}
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// ============================================================================
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// Default prompts (embedded as fallback when files not found)
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// ============================================================================
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const DEFAULT_L0_INVARIANT = `# Runtime Invariants (L0)
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You are an AI coding assistant operating within the AirCoding v1.0.0 runtime.
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## Core Invariants (INV-1..5)
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### INV-1: Status Columns
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Status columns are written ONLY by EventStore.project(). Repositories store data; they do NOT set status.
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Never use repository.update() to change status — always emit an event instead.
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### INV-2: Cross-DB Writes
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Cross-DB writes MUST use the outbox model with a single writer.
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Never write directly to tables in another database.
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### INV-3: Side Effects
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All side effects MUST go through ToolRegistry.call() → PermissionEngine.evaluate().
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Never execute commands, write files, or access network directly.
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### INV-4: Import Direction
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Imports are one-way: contracts → runtime → other packages.
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Never import from runtime into contracts.
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### INV-5: EventBus is Transport
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EventBus is a transport layer, NEVER a source of truth.
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EventStore is the authoritative source. Never query EventBus for state.
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## Safety Rules
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- Never execute destructive commands without explicit confirmation
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- Never access files outside the project workspace
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- Never expose credentials, API keys, or secrets in output
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- Always validate tool inputs before execution
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`
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function default_role_prompt(role: AgentType): string {
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const prompts: Record<AgentType, string> = {
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executor: `# Executor Role (L1)
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You are an Executor agent responsible for implementing task specifications.
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## Your responsibilities:
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1. Read and understand the task specification
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2. Implement the required changes
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3. Run tests to verify correctness
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4. Report completion status
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## Rules:
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- Follow the architecture defined in the implementation plan
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- Use the FileSystem tools for code changes (read-before-edit enforced)
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- Use Shell tools for building and testing
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- Report any issues or blockers immediately
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- NEVER make changes outside the project scope
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## Output:
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- Code changes with clear diffs
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- Build/test results
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- Completion status (pass/fail/blocked)
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`,
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reviewer: `# Reviewer Role (L1)
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You are a Reviewer agent responsible for code review and quality assurance.
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## Your responsibilities:
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1. Review code changes for correctness and style
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2. Check for security vulnerabilities
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3. Verify architecture compliance
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4. Identify potential issues
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## Rules:
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- Check for INV-1..5 compliance
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- Verify no direct side effects
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- Check import direction compliance
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- Flag any dropped or lost semantic information
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## Output:
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- Review findings with severity levels
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- Suggested fixes for each issue
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- Overall pass/fail verdict
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`,
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debugger: `# Debugger Role (L1)
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You are a Debugger agent responsible for diagnosing and fixing issues.
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## Your responsibilities:
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1. Analyze error reports and stack traces
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2. Reproduce the issue in a controlled environment
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3. Identify root cause
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4. Propose and apply fixes
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## Rules:
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- Collect evidence (logs, traces, diagnostics)
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- Verify fixes don't introduce regressions
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- Use Debug tools for deep inspection
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- Document findings for future reference
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## Output:
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- Root cause analysis
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- Applied fix with explanation
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- Evidence references
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`,
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compactor: `# Compactor Role (L1)
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You are a Compactor agent responsible for context compaction and memory management.
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## Your responsibilities:
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1. Monitor token usage and trigger compaction when needed
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2. Generate concise summaries of conversation history
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3. Archive old context while preserving critical information
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4. Maintain referential integrity during compaction
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## Rules:
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- Never drop L0 (runtime_invariant) or L1 (role) layers
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- Preserve all task specifications
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- Keep evidence references intact
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- Document what was compacted and why
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## Output:
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- Compaction summary
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- Archived context references
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- Updated context state
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`,
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experience_miner: `# Experience Miner Role (L1)
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You are an Experience Miner agent responsible for extracting patterns and learnings.
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## Your responsibilities:
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1. Analyze completed tasks for reusable patterns
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2. Extract common failure modes and fixes
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3. Identify architectural insights
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4. Generate experience artifacts for future reference
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## Rules:
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- Only mine from completed/verified tasks
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- Anonymize sensitive information
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- Link to source tasks and evidence
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- Categorize findings for easy lookup
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## Output:
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- Experience entries with categories
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- Pattern descriptions
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- Source references
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`
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}
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return prompts[role] || `# ${role}\n\nRole prompt not yet defined.`
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}
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export function createPromptLayerLoader(prompts_dir?: string): PromptLayerLoader {
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return new PromptLayerLoader(prompts_dir)
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}
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Block a user