feat: modernize API architecture and deprecation handling

- Modernize BrainyInterface to only contain current API methods (add, relate, find, get)
- Update all interface consumers to use modern API patterns
- Make Brainy class implement clean modernized interface
- Update CLI commands to use add() and relate() instead of deprecated methods
- Update all source code components to use modern API consistently
- Update examples and integration tests to modern patterns
- Improve architectural consistency across the entire codebase

BREAKING: BrainyInterface no longer contains deprecated methods
Migration: Use add() instead of addNoun(), relate() instead of addVerb()

bin/brainy.js

@@ -546,7 +546,7 @@ program
       metadata.encrypted = true
     }
     
-    const id = await brainyInstance.addNoun(processedData, metadata)
+    const id = await brainyInstance.add({ data: processedData, type: 'content', metadata })
     console.log(colors.success(`✅ Added successfully! ID: ${id}`))
   }))
 
@@ -1337,9 +1337,8 @@ program
     }
     
     try {
-      // In 2.0 API, addNoun takes (data, metadata) - type goes in metadata
-      metadata.type = options.type
-      const id = await brainy.addNoun(name, metadata)
+      // Use modern 3.0 API with parameter object
+      const id = await brainy.add({ data: name, type: options.type, metadata })
       
       console.log(colors.success('✅ Noun added successfully!'))
       console.log(colors.info(`🆔 ID: ${id}`))
@@ -1506,7 +1505,7 @@ program
       
       // Use the provided type or fall back to RelatedTo
       const verbType = VerbType[options.type] || options.type
-      const id = await brainy.addVerb(source, target, verbType, metadata)
+      const id = await brainy.relate({ from: source, to: target, type: verbType, metadata })
       
       console.log(colors.success('✅ Relationship added successfully!'))
       console.log(colors.info(`🆔 ID: ${id}`))

examples/api-server-example.ts

@@ -16,9 +16,9 @@ async function main() {
   await brain.init()
   
   // 2. Add some sample data
-  await brain.addNoun("The quick brown fox", 'Content', { type: "sentence", category: "animals" })
-  await brain.addNoun("Machine learning models", 'Content', { type: "tech", category: "AI" })
-  await brain.addNoun("Natural language processing", 'Content', { type: "tech", category: "NLP" })
+  await brain.add({ data: "The quick brown fox", type: 'content', metadata: { type: "sentence", category: "animals" } })
+  await brain.add({ data: "Machine learning models", type: 'content', metadata: { type: "tech", category: "AI" } })
+  await brain.add({ data: "Natural language processing", type: 'content', metadata: { type: "tech", category: "NLP" } })
   
   // 3. Create and register the API Server augmentation
   const apiServer = new APIServerAugmentation({

examples/augmentations-zero-config.ts

@@ -23,7 +23,7 @@ async function main() {
   await brain.init()
   
   // Use Brainy normally - augmentations work transparently
-  await brain.addNoun("Hello world", 'Content', { type: "greeting" })
+  await brain.add({ data: "Hello world", type: 'content', metadata: { type: "greeting" } })
   
   // Batch operations automatically optimized
   await brain.addBatch([

src/augmentations/apiServerAugmentation.ts

@@ -194,7 +194,7 @@ export class APIServerAugmentation extends BaseAugmentation {
     app.post('/api/add', async (req: any, res: any) => {
       try {
         const { content, metadata } = req.body
-        const id = await this.context!.brain.addNoun(content, 'Content', metadata)
+        const id = await this.context!.brain.add({ data: content, type: 'content', metadata })
         res.json({ success: true, id })
       } catch (error: any) {
         res.status(500).json({ success: false, error: error.message })
@@ -368,7 +368,7 @@ export class APIServerAugmentation extends BaseAugmentation {
         break
         
       case 'add':
-        const id = await this.context!.brain.addNoun(msg.content, 'Content', msg.metadata)
+        const id = await this.context!.brain.add({ data: msg.content, type: 'content', metadata: msg.metadata })
         socket.send(JSON.stringify({
           type: 'addResult',
           requestId: msg.requestId,

src/augmentations/conduitAugmentations.ts

@@ -204,18 +204,18 @@ export class WebSocketConduitAugmentation extends BaseConduitAugmentation {
     try {
       switch (operation) {
         case 'addNoun':
-          await this.context?.brain.addNoun(params.content, params.metadata)
+          await this.context?.brain.add({ data: params.content, type: 'content', metadata: params.metadata })
           break
         case 'deleteNoun':
           await this.context?.brain.deleteNoun(params.id)
           break
         case 'addVerb':
-          await this.context?.brain.addVerb(
-            params.source,
-            params.target,
-            params.verb,
-            params.metadata
-          )
+          await this.context?.brain.relate({
+            from: params.source,
+            to: params.target,
+            type: params.verb,
+            metadata: params.metadata
+          })
           break
       }
     } catch (error) {
@@ -269,6 +269,6 @@ export class WebSocketConduitAugmentation extends BaseConduitAugmentation {
  * await conduit.establishConnection('ws://localhost:3000/ws')
  * 
  * // Now operations sync automatically!
- * await clientBrain.addNoun('synced data', { source: 'client' })
+ * await clientBrain.add({ data: 'synced data', type: 'content', metadata: { source: 'client' } })
  * // This will automatically sync to the server
  */

src/brainy.ts

@@ -41,12 +41,15 @@ import {
   BrainyConfig
 } from './types/brainy.types.js'
 import { NounType, VerbType } from './types/graphTypes.js'
+import { BrainyInterface } from './types/brainyDataInterface.js'
 
 /**
  * The main Brainy class - Clean, Beautiful, Powerful
  * REAL IMPLEMENTATION - No stubs, no mocks
+ *
+ * Implements BrainyInterface to ensure consistency across integrations
  */
-export class Brainy<T = any> {
+export class Brainy<T = any> implements BrainyInterface<T> {
   // Core components
   private index!: HNSWIndex | HNSWIndexOptimized
   private storage!: StorageAdapter
@@ -1707,7 +1710,7 @@ export class Brainy<T = any> {
   /**
    * Embed data into vector
    */
-  private async embed(data: any): Promise<Vector> {
+  async embed(data: any): Promise<Vector> {
     return this.embedder(data)
   }
 

src/importManager.ts

@@ -194,8 +194,8 @@ export class ImportManager {
               _confidence: item.confidence
             }
             
-            // Add to brain using proper API signature: addNoun(vectorOrData, nounType, metadata)
-            const id = await this.brain.addNoun(dataToImport, nounType || 'content', metadata)
+            // Add to brain using modern API signature
+            const id = await this.brain.add({ data: dataToImport, type: nounType || 'content', metadata })
             result.nouns.push(id)
             result.stats.imported++
             return id
@@ -229,13 +229,13 @@ export class ImportManager {
             verbType = match.type
           }
           
-          const verbId = await this.brain.addVerb(
-            rel.sourceId,
-            rel.targetId,
-            verbType as VerbType,
-            rel.metadata,
-            rel.weight
-          )
+          const verbId = await this.brain.relate({
+            from: rel.sourceId,
+            to: rel.targetId,
+            type: verbType as VerbType,
+            metadata: rel.metadata,
+            weight: rel.weight
+          })
           
           result.verbs.push(verbId)
           result.stats.relationships++

src/mcp/brainyMCPAdapter.ts

@@ -8,9 +8,10 @@
 
 import { v4 as uuidv4 } from '../universal/uuid.js'
 import { BrainyInterface } from '../types/brainyDataInterface.js'
-import { 
-  MCPRequest, 
-  MCPResponse, 
+import { NounType } from '../types/graphTypes.js'
+import {
+  MCPRequest,
+  MCPResponse,
   MCPDataAccessRequest,
   MCPRequestType,
   MCP_VERSION
@@ -75,7 +76,7 @@ export class BrainyMCPAdapter {
       )
     }
 
-    const noun = await this.brainyData.getNoun(id)
+    const noun = await this.brainyData.get(id)
     
     if (!noun) {
       return this.createErrorResponse(
@@ -104,7 +105,7 @@ export class BrainyMCPAdapter {
       )
     }
 
-    const results = await this.brainyData.searchText(query, k)
+    const results = await this.brainyData.find({ query, limit: k })
     return this.createSuccessResponse(request.requestId, results)
   }
 
@@ -124,8 +125,8 @@ export class BrainyMCPAdapter {
       )
     }
 
-    // Add data directly using addNoun
-    const id = await this.brainyData.addNoun(text, 'document', metadata)
+    // Add data using modern API (interface only supports modern methods)
+    const id = await this.brainyData.add({ data: text, type: NounType.Document, metadata })
     return this.createSuccessResponse(request.requestId, { id })
   }
 

src/neural/improvedNeuralAPI.ts

@@ -3285,7 +3285,7 @@ export class ImprovedNeuralAPI {
       if (clusters.length === 0) break
       
       try {
-        const noun = await this.brain.getNoun(itemId)
+        const noun = await this.brain.get(itemId)
         const itemVector = noun?.vector || []
         if (itemVector.length === 0) continue
         

src/types/brainyDataInterface.ts

@@ -1,11 +1,14 @@
 /**
- * BrainyInterface
- * 
- * This interface defines the methods from Brainy that are used by serverSearchAugmentations.ts.
- * It's used to break the circular dependency between brainyData.ts and serverSearchAugmentations.ts.
+ * BrainyInterface - Modern API Only
+ *
+ * This interface defines the MODERN methods from Brainy 3.0.
+ * Used to break circular dependencies while enforcing modern API usage.
+ *
+ * NO DEPRECATED METHODS - Only clean, modern API patterns.
  */
 
 import { Vector } from '../coreTypes.js'
+import { AddParams, RelateParams, Result, Entity, FindParams, SimilarParams } from './brainy.types.js'
 
 export interface BrainyInterface<T = unknown> {
   /**
@@ -14,47 +17,39 @@ export interface BrainyInterface<T = unknown> {
   init(): Promise<void>
 
   /**
-   * Get a noun by ID
-   * @param id The ID of the noun to get
+   * Modern add method - unified entity creation
+   * @param params Parameters for adding entities
+   * @returns The ID of the created entity
    */
-  getNoun(id: string): Promise<unknown>
+  add(params: AddParams<T>): Promise<string>
 
   /**
-   * @deprecated Use add() instead - it's smart by default now
-   * Add a noun (entity with vector and metadata) to the database
-   * @param data Text string or vector representation (will auto-embed strings)
-   * @param nounType Required noun type (one of 31 types)
-   * @param metadata Optional metadata to associate with the noun
-   * @returns The ID of the added noun
+   * Modern relate method - unified relationship creation
+   * @param params Parameters for creating relationships
+   * @returns The ID of the created relationship
    */
-  addNoun(data: string | Vector, nounType: string, metadata?: T): Promise<string>
+  relate(params: RelateParams<T>): Promise<string>
 
   /**
-   * Search for text in the database
-   * @param text The text to search for
-   * @param limit Maximum number of results to return
-   * @returns Search results
+   * Modern find method - unified search and discovery
+   * @param query Search query or parameters object
+   * @returns Array of search results
    */
-  searchText(text: string, limit?: number): Promise<unknown[]>
+  find(query: string | FindParams<T>): Promise<Result<T>[]>
 
   /**
-   * @deprecated Use relate() instead
-   * Create a relationship (verb) between two entities
-   * @param sourceId The ID of the source entity
-   * @param targetId The ID of the target entity
-   * @param verbType The type of relationship
-   * @param metadata Optional metadata about the relationship
-   * @returns The ID of the created verb
+   * Modern get method - retrieve entities by ID
+   * @param id The entity ID to retrieve
+   * @returns Entity or null if not found
    */
-  addVerb(sourceId: string, targetId: string, verbType: string, metadata?: unknown): Promise<string>
+  get(id: string): Promise<Entity<T> | null>
 
   /**
-   * Find entities similar to a given entity ID
-   * @param id ID of the entity to find similar entities for
-   * @param options Additional options
-   * @returns Array of search results with similarity scores
+   * Modern similar method - find similar entities
+   * @param params Parameters for similarity search
+   * @returns Array of similar entities with scores
    */
-  findSimilar(id: string, options?: { limit?: number }): Promise<unknown[]>
+  similar(params: SimilarParams<T>): Promise<Result<T>[]>
 
   /**
    * Generate embedding vector from text
@@ -62,4 +57,4 @@ export interface BrainyInterface<T = unknown> {
    * @returns Vector representation of the text
    */
   embed(text: string): Promise<Vector>
-}
+}

tests/integration/brainy-complete.integration.test.ts

@@ -318,15 +318,18 @@ describe('Brainy 2.0 Complete Feature Test (Real AI)', () => {
 
     it('should handle nested metadata queries', async () => {
       // Add items with nested metadata
-      await brain.addNoun('Advanced framework test', {
-        framework: {
-          name: 'Next.js',
-          version: '13.0',
-          features: ['SSR', 'API', 'Routing']
-        },
-        tech: {
-          language: 'JavaScript',
-          runtime: 'Node.js'
+      await brain.add({
+        data: 'Advanced framework test',
+        type: 'content',
+        metadata: {
+          framework: {
+            name: 'Next.js',
+            version: '13.0',
+            features: ['SSR', 'API', 'Routing']
+          },
+          tech: {
+            language: 'JavaScript',
+            runtime: 'Node.js'
         }
       })
 
@@ -426,10 +429,14 @@ describe('Brainy 2.0 Complete Feature Test (Real AI)', () => {
       const ids = []
 
       for (const item of performanceData) {
-        const id = await brain.addNoun(item.content, { 
-          category: item.category,
-          priority: item.priority,
-          timestamp: item.timestamp
+        const id = await brain.add({
+          data: item.content,
+          type: 'content',
+          metadata: {
+            category: item.category,
+            priority: item.priority,
+            timestamp: item.timestamp
+          }
         })
         ids.push(id)
       }