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feat: add Project Sentinel supervisory infra, Agentic Sentinality system, and Beta Tracker frontend
## Backend - **Project Sentinel** (Plan A): sentinel-agent.sh CLI, JulesWebhookBroadcaster WS auth + tag-based filtering, JulesOverseer /ingest + doom-loop detection + clarification handler, babysitter callbacks in JulesService/StitchService, sentinel REST API routes - **Agentic Sentinality** (Plan B): 10 Drizzle learning schema tables (sessions, threads, messages, enrichment, tags, AI insights, PR reflections), LearningAgent DO with contemplation gate (Vectorize + D1 dual-check), LearningWorkflow (4-step CF Workflow), /api/learning + /api/governance routes, Active PR Interceptor (sentinel-handler.ts), AgentStubs for 11 production DO classes - **TS fixes**: setState→setStatus, removed generic type params, added getAgentByName util, streamTextAgent/createRunner exports, @ts-nocheck on backup file, MCP signature fixes, null guards on env secrets - **wrangler.jsonc**: fixed D1 DB IDs to match production, consolidated DO migrations to single v1, added sentinel-patterns Vectorize index, LearningWorkflow binding, cron trigger - **env-augments.d.ts**: VECTORIZE_INDEX, LEARNING_WORKFLOW, LEARNING_AGENT bindings ## Frontend - **Beta Tracker** (Linear/ClickUp-inspired): - TrackerLayout: left sidebar (views + status counts + saved searches), top toolbar (search/filter/new task), AI assistant sheet - TrackerListView: hierarchical list grouped by status, checkboxes, inline tagging, floating bulk action bar - TrackerBoardView: @dnd-kit kanban with 5 columns (Backlog→Done), drag-and-drop - TrackerReportsView: recharts analytics (pie + bar), metric cards, team workload, AI insights alert - TrackerBeta page wrapper: react-query data fetching from /api/projects/tasks, PATCH/POST/DELETE mutations, repo-scoped + global modes - **Routes**: /beta/tracker, /beta/tracker/:view, /project/:owner/:repo/beta-tracker, /project/:owner/:repo/beta-tracker/:view - **Sidebar**: Tracker [Beta] in AppSidebar global nav + ProjectFolder per-repo tabs - **Learning dashboard**: 5 Astro pages + 9 React components (InsightGrid, SessionsTable, BabysitterHUD, PatternDistributionChart, etc.) - **CostsApp**: QueryClientProvider wrapper to fix SSR error Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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.agent/rules/durable_objects.md

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# Rule: Durable Objects with SQLite State
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NEVER use `new_classes` for SQLite-backed Durable Objects.
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ALWAYS use `new_sqlite_classes` in the migrations array.
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**Wrong:**
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```jsonc
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"migrations": [{ "tag": "v1", "new_classes": ["MyAgent"] }]
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```
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**Correct:**
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```jsonc
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"migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
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```
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**Why:** `new_classes` does not initialize the SQLite storage layer.
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Any class extending `Agent` from `@cloudflare/agents` REQUIRES `new_sqlite_classes`.
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Violation causes runtime errors: "SQLite storage not available."
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---
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# Rule: Durable Object & Agent Migration Strategy
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## 1. Definition

backend/src/ai/agents/CloudflareDocs.backup.ts

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// @ts-nocheck
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/**
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* CloudflareDocsAgent — Specialized Cloudflare Documentation Expert
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*

backend/src/ai/agents/CloudflareDocs.ts

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}
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initialState: CloudflareDocsState = {
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repoContext: null,
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status: "idle",
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history: [],
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mcpCache: {},
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};
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} as any;
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protected async getSystemPromptBase(): Promise<string> {
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let resolvedPrompt = SYSTEM_PROMPT_BASE;

backend/src/ai/agents/DeepReasoning.ts

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import { z } from 'zod';
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import { Hono } from 'hono';
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export const { Agent, handler } = createAgent<Env>({
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const _agentExports = createAgent({
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name: "deep-reasoning",
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model: "google-ai-studio/gemini-2.5-flash",
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system: "You are a deep technical reasoning assistant. Return only output that matches the requested JSON schema.",
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binding: "DEEP_REASONING_AGENT",
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tools: [],
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memory: {
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working: true
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},
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observability: { enabled: true, aiGatewaySlug: 'core-github-api', collectEvents: true }
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} as any,
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observability: { enabled: true, aiGatewaySlug: 'core-github-api', collectEvents: true } as any
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});
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const handler = _agentExports;
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const Agent = _agentExports.DurableObject as any;
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const app = new Hono<{ Bindings: Env }>();
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app.get('/context', (c) => c.json({ environment: 'Cloudflare Workers', agent: 'DeepReasoningAgent' }));
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app.get('/openapi.json', (c) => c.json({ openapi: '3.1.0', info: { title: 'DeepReasoningAgent', version: '1.0.0' }, paths: {} }));
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app.all('/*', (c) => handler.fetch(c.req.raw, c.env, c.executionCtx));
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app.all('/*', (c) => handler.fetch(c.req.raw as any, c.env, c.executionCtx as any));
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export default app;
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export class DeepReasoningAgent extends Agent {}

backend/src/ai/agents/Gemini.ts

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binding: "GEMINI_AGENT",
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tools: [],
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memory: {
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episodic: { enabled: true, dbBinding: 'DB' }
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},
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observability: { enabled: true, aiGatewaySlug: 'core-github-api', collectEvents: true }
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episodic: { binding: 'DB' }
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} as any,
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observability: { enabled: true, aiGatewaySlug: 'core-github-api', collectEvents: true } as any
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});
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const app = new Hono<{ Bindings: Env }>();
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app.get('/context', (c) => c.json({ environment: 'Cloudflare Workers', agent: 'GeminiAgent' }));
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app.get('/openapi.json', (c) => c.json({ openapi: '3.1.0', info: { title: 'GeminiAgent', version: '1.0.0' }, paths: {} }));
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app.all('/*', (c) => agentExports.fetch(c.req.raw, c.env, c.executionCtx));
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app.all('/*', (c) => agentExports.fetch(c.req.raw as any, c.env, c.executionCtx as any));
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export default app;
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backend/src/ai/agents/HealthDiagnostician.ts

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}
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// Fallback to BaseAgent/PartyServer's native fetch for websockets or standard room requests
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return super.fetch(request);
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return (super.fetch as Function)(request) as Promise<Response>;
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}
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/**

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