chore: codebase audit — remove dead code, unused deps, clean configs

Phase 1: Delete 19 dead component/service/tool files (4,200+ lines)
Phase 2: Remove 13 unused npm packages (Radix UI, shadcn utilities, ytdl-core, etc.)
Phase 3: Database schema — drop agent_delegations, add performance indexes
Phase 4: Remove 12 dead types from database.ts/analytics.ts/helpers.ts
Phase 5: Strip shadcn/ui theme from tailwind config
Phase 6: Clean env vars, fix broken imports (LocalKeyGate, MapViewer)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

src/tools/database/lockDimension.ts

@@ -1,62 +0,0 @@
-import { tool } from 'ai';
-import { z } from 'zod';
-
-export const lockDimensionTool = tool({
-  description: 'Lock a dimension to enable auto-assignment to new nodes',
-  inputSchema: z.object({
-    name: z.string().describe('Dimension name to lock')
-  }),
-  execute: async (params) => {
-    console.log('🔒 LockDimension tool called with params:', JSON.stringify(params, null, 2));
-    try {
-      const trimmedName = params.name.trim();
-      if (!trimmedName) {
-        return {
-          success: false,
-          error: 'Dimension name is required',
-          data: null
-        };
-      }
-
-      const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/dimensions`, {
-        method: 'PUT',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({
-          name: trimmedName,
-          isPriority: true
-        })
-      });
-
-      if (!response.ok) {
-        let errorMessage = 'Failed to lock dimension';
-        try {
-          const errorResult = await response.json();
-          errorMessage = errorResult.error || errorMessage;
-        } catch {
-          // If response is not JSON (e.g., HTML error page), use status text
-          errorMessage = `Failed to lock dimension: ${response.status} ${response.statusText}`;
-        }
-        return {
-          success: false,
-          error: errorMessage,
-          data: null
-        };
-      }
-
-      const result = await response.json();
-
-      return {
-        success: true,
-        data: result.data,
-        message: `Locked dimension "${trimmedName}" - it will now be auto-assigned to new nodes`
-      };
-    } catch (error) {
-      return {
-        success: false,
-        error: error instanceof Error ? error.message : 'Failed to lock dimension',
-        data: null
-      };
-    }
-  }
-});
-

src/tools/database/unlockDimension.ts

@@ -1,62 +0,0 @@
-import { tool } from 'ai';
-import { z } from 'zod';
-
-export const unlockDimensionTool = tool({
-  description: 'Unlock a dimension to disable auto-assignment to new nodes',
-  inputSchema: z.object({
-    name: z.string().describe('Dimension name to unlock')
-  }),
-  execute: async (params) => {
-    console.log('🔓 UnlockDimension tool called with params:', JSON.stringify(params, null, 2));
-    try {
-      const trimmedName = params.name.trim();
-      if (!trimmedName) {
-        return {
-          success: false,
-          error: 'Dimension name is required',
-          data: null
-        };
-      }
-
-      const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/dimensions`, {
-        method: 'PUT',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({
-          name: trimmedName,
-          isPriority: false
-        })
-      });
-
-      if (!response.ok) {
-        let errorMessage = 'Failed to unlock dimension';
-        try {
-          const errorResult = await response.json();
-          errorMessage = errorResult.error || errorMessage;
-        } catch {
-          // If response is not JSON (e.g., HTML error page), use status text
-          errorMessage = `Failed to unlock dimension: ${response.status} ${response.statusText}`;
-        }
-        return {
-          success: false,
-          error: errorMessage,
-          data: null
-        };
-      }
-
-      const result = await response.json();
-
-      return {
-        success: true,
-        data: result.data,
-        message: `Unlocked dimension "${trimmedName}" - it will no longer be auto-assigned to new nodes`
-      };
-    } catch (error) {
-      return {
-        success: false,
-        error: error instanceof Error ? error.message : 'Failed to unlock dimension',
-        data: null
-      };
-    }
-  }
-});
-

src/tools/other/embedContent.ts

@@ -1,41 +0,0 @@
-import { tool } from 'ai';
-import { z } from 'zod';
-
-export const embedContentTool = tool({
-  description: 'Chunk and embed a node’s content so semantic search stays current',
-  inputSchema: z.object({
-    nodeId: z.number().describe('The ID of the node to process')
-  }),
-  execute: async ({ nodeId }) => {
-    try {
-      // Call the same API endpoint that the manual embed button uses
-      const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/ingestion`, {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ nodeId })
-      });
-
-      const result = await response.json();
-      
-      if (!response.ok) {
-        return {
-          success: false,
-          error: result.error || 'Failed to embed content',
-          data: null
-        };
-      }
-
-      return {
-        success: true,
-        message: result.message || `Successfully chunked and embedded content for node ${nodeId}`,
-        data: { nodeId }
-      };
-    } catch (error) {
-      return {
-        success: false,
-        error: error instanceof Error ? error.message : 'Failed to embed content',
-        data: null
-      };
-    }
-  }
-});