implemented final sdk migrations

src/lib/services/ai/sdk/schemas/cardimport.ts

@@ -0,0 +1,44 @@
+/**
+ * Card Import Schemas
+ *
+ * Zod schemas for SillyTavern character card import operations.
+ */
+
+import { z } from 'zod';
+
+/**
+ * NPC extracted from character card.
+ * Maps to the character-card-import template output.
+ */
+export const cardImportNpcSchema = z.object({
+  name: z.string().describe("Character's actual name"),
+  role: z.string().describe("Character's role (ally, mentor, antagonist, love interest, guide, friend)"),
+  description: z.string().describe("1-2 sentences: who they are and key appearance details"),
+  personality: z.string().describe("Key personality traits as comma-separated list"),
+  relationship: z.string().describe("Their relationship to the protagonist"),
+});
+
+/**
+ * Result from character-card-import template.
+ * Cleans SillyTavern cards and converts to Aventura scenario settings.
+ */
+export const cardImportResultSchema = z.object({
+  primaryCharacterName: z.string().describe("The ACTUAL name of the main character that {{char}} refers to"),
+  settingSeed: z.string().describe("The FULL cleaned text with {{char}} replaced, {{user}} kept as-is"),
+  npcs: z.array(cardImportNpcSchema).describe("All significant characters from the card"),
+});
+
+/**
+ * Result from vault-character-import template.
+ * Extracts clean character data for the vault.
+ */
+export const vaultCharacterImportSchema = z.object({
+  name: z.string().describe("The character's actual name"),
+  description: z.string().describe("1-2 paragraphs describing who this character is"),
+  traits: z.array(z.string()).describe("3-8 personality traits"),
+  visualDescriptors: z.array(z.string()).describe("Physical appearance details for image generation"),
+});
+
+export type CardImportNpc = z.infer<typeof cardImportNpcSchema>;
+export type CardImportResult = z.infer<typeof cardImportResultSchema>;
+export type VaultCharacterImport = z.infer<typeof vaultCharacterImportSchema>;

src/lib/services/ai/sdk/schemas/lorebook.ts

@@ -120,3 +120,20 @@ export const finishLoreManagementSchema = z.object({
 });
 
 export type FinishLoreManagementSchema = z.infer<typeof finishLoreManagementSchema>;
+
+/**
+ * Classification result for a single entry.
+ */
+export const entryClassificationSchema = z.object({
+  index: z.number().describe('Index of the entry being classified'),
+  type: entryTypeSchema.describe('The classified type for this entry'),
+});
+
+/**
+ * Result from lorebook-classifier template.
+ * Array of entry classifications.
+ */
+export const lorebookClassificationResultSchema = z.array(entryClassificationSchema);
+
+export type EntryClassification = z.infer<typeof entryClassificationSchema>;
+export type LorebookClassificationResult = z.infer<typeof lorebookClassificationResultSchema>;

src/lib/services/characterCardImporter.ts

@@ -3,15 +3,16 @@
  *
  * Imports SillyTavern character cards (V1/V2 JSON format) into Aventura's wizard.
  * Supports both JSON files and PNG files with embedded character data.
- *
- * STATUS: PARTIALLY STUBBED - Awaiting SDK migration
- * - PNG/JSON parsing: WORKING
- * - LLM conversion: STUBBED
  */
 
-import type { StoryMode } from '$lib/types';
+import type { StoryMode, VisualDescriptors } from '$lib/types';
 import type { Genre, GeneratedCharacter } from '$lib/services/ai/wizard/ScenarioService';
-import { settings } from '$lib/stores/settings.svelte';
+import { promptService, type PromptContext } from '$lib/services/prompts';
+import { generateStructured } from './ai/sdk/generate';
+import {
+  cardImportResultSchema,
+  vaultCharacterImportSchema,
+} from './ai/sdk/schemas/cardimport';
 import { createLogger } from './ai/core/config';
 
 const log = createLogger('CharacterCardImporter');
@@ -262,7 +263,6 @@ function buildCardContext(card: ParsedCard): string {
 
 /**
  * Convert a parsed character card into a scenario setting using LLM.
- * @throws Error - LLM conversion not implemented during SDK migration
  */
 export async function convertCardToScenario(
   jsonString: string,
@@ -290,20 +290,51 @@ export async function convertCardToScenario(
   const preprocessedFirstMessage = normalizeUserMacro(card.firstMessage);
   const preprocessedAlternateGreetings = card.alternateGreetings.map(g => normalizeUserMacro(g));
 
-  // Return a basic fallback without LLM conversion
-  const fallbackDescription = normalizeUserMacro(
-    [card.scenario, card.description].filter(s => s.trim()).join('\n\n')
-  );
+  // Build card content for LLM
+  const cardContent = buildCardContext(card);
+
+  // Minimal context for prompt rendering
+  const promptContext: PromptContext = {
+    mode,
+    pov: 'second',
+    tense: 'present',
+    protagonistName: '',
+  };
+
+  const system = promptService.renderPrompt('character-card-import', promptContext);
+  const prompt = promptService.renderUserPrompt('character-card-import', promptContext, {
+    genre,
+    title: cardTitle,
+    cardContent,
+  });
+
+  const result = await generateStructured({
+    presetId: 'classification',
+    schema: cardImportResultSchema,
+    system,
+    prompt,
+  });
+
+  // Convert LLM result to CardImportResult format
+  const npcs: GeneratedCharacter[] = result.npcs.map(npc => ({
+    name: npc.name,
+    role: npc.role,
+    description: npc.description,
+    relationship: npc.relationship,
+    traits: npc.personality.split(',').map(t => t.trim()).filter(Boolean),
+  }));
+
+  log('Card import successful', { primaryCharacter: result.primaryCharacterName, npcCount: npcs.length });
 
   return {
-    success: false,
-    settingSeed: fallbackDescription.slice(0, 2000),
-    npcs: [],
-    primaryCharacterName: cardTitle,
-    storyTitle: cardTitle,
+    success: true,
+    settingSeed: result.settingSeed,
+    npcs,
+    primaryCharacterName: result.primaryCharacterName,
+    storyTitle: result.primaryCharacterName || cardTitle,
     firstMessage: preprocessedFirstMessage,
     alternateGreetings: preprocessedAlternateGreetings,
-    errors: ['LLM conversion not implemented - awaiting SDK migration. Basic extraction was used as fallback.'],
+    errors: [],
   };
 }
 
@@ -311,12 +342,11 @@ export interface SanitizedCharacter {
   name: string;
   description: string;
   traits: string[];
-  visualDescriptors: import('$lib/types').VisualDescriptors;
+  visualDescriptors: VisualDescriptors;
 }
 
 /**
  * Sanitize a character card using LLM to extract clean character data.
- * @throws Error - LLM sanitization not implemented during SDK migration
  */
 export async function sanitizeCharacterCard(
   jsonString: string,
@@ -328,13 +358,41 @@ export async function sanitizeCharacterCard(
     return null;
   }
 
-  log('Sanitization not implemented - returning basic extraction');
+  // Build card content for LLM
+  const cardContent = buildCardContext(card);
+
+  // Minimal context for prompt rendering
+  const promptContext: PromptContext = {
+    mode: 'adventure',
+    pov: 'second',
+    tense: 'present',
+    protagonistName: '',
+  };
+
+  const system = promptService.renderPrompt('vault-character-import', promptContext);
+  const prompt = promptService.renderUserPrompt('vault-character-import', promptContext, {
+    cardContent,
+  });
+
+  const result = await generateStructured({
+    presetId: 'classification',
+    schema: vaultCharacterImportSchema,
+    system,
+    prompt,
+  });
+
+  log('Character sanitization successful', { name: result.name });
+
+  // Convert array of visual descriptors to VisualDescriptors object
+  const visualDescriptors: VisualDescriptors = {};
+  result.visualDescriptors.forEach((desc, i) => {
+    visualDescriptors[`descriptor_${i}`] = desc;
+  });
 
-  // Return basic extraction without LLM
   return {
-    name: card.name,
-    description: card.description || card.personality || '',
-    traits: [],
-    visualDescriptors: {},
+    name: result.name,
+    description: result.description,
+    traits: result.traits,
+    visualDescriptors,
   };
 }

src/lib/services/lorebookImporter.ts

@@ -2,15 +2,13 @@
  * Lorebook Importer Service
  *
  * Imports lorebooks from various formats (primarily SillyTavern) into Aventura's Entry system.
- *
- * STATUS: PARTIALLY STUBBED - Awaiting SDK migration
- * - Parsing and basic type inference: WORKING
- * - LLM classification: STUBBED
  */
 
 import type { Entry, EntryType, EntryInjectionMode, EntryCreator } from '$lib/types';
-import { settings } from '$lib/stores/settings.svelte';
 import type { StoryMode } from '$lib/services/prompts';
+import { promptService, type PromptContext } from '$lib/services/prompts';
+import { generateStructured } from './ai/sdk/generate';
+import { lorebookClassificationResultSchema } from './ai/sdk/schemas/lorebook';
 import { createLogger } from './ai/core/config';
 
 const log = createLogger('LorebookImporter');
@@ -171,7 +169,7 @@ function inferEntryType(name: string, content: string): EntryType {
 
 /**
  * LLM-based entry type classification.
- * @throws Error - LLM classification not implemented during SDK migration
+ * Classifies entries in batches to avoid token limits.
  */
 export async function classifyEntriesWithLLM(
   entries: ImportedEntry[],
@@ -180,14 +178,67 @@ export async function classifyEntriesWithLLM(
 ): Promise<ImportedEntry[]> {
   if (entries.length === 0) return entries;
 
-  log('LLM classification not implemented - using keyword-based inference');
+  const BATCH_SIZE = 20; // Process in batches to avoid token limits
+  const result = [...entries];
+  let classified = 0;
 
-  // Return entries as-is with keyword-based types (already set during parsing)
-  if (onProgress) {
-    onProgress(entries.length, entries.length);
+  // Minimal context for prompt rendering
+  const promptContext: PromptContext = {
+    mode,
+    pov: 'second',
+    tense: 'present',
+    protagonistName: '',
+  };
+
+  const system = promptService.renderPrompt('lorebook-classifier', promptContext);
+
+  // Process in batches
+  for (let i = 0; i < entries.length; i += BATCH_SIZE) {
+    const batch = entries.slice(i, i + BATCH_SIZE);
+
+    // Build entries JSON for the prompt
+    const entriesJson = JSON.stringify(
+      batch.map((entry, batchIndex) => ({
+        index: batchIndex,
+        name: entry.name,
+        content: entry.description.slice(0, 500), // Limit content length
+        keywords: entry.keywords.slice(0, 10),
+      })),
+      null,
+      2
+    );
+
+    const prompt = promptService.renderUserPrompt('lorebook-classifier', promptContext, {
+      entriesJson,
+    });
+
+    const classifications = await generateStructured({
+      presetId: 'classification',
+      schema: lorebookClassificationResultSchema,
+      system,
+      prompt,
+    });
+
+    // Apply classifications to batch
+    for (const classification of classifications) {
+      const globalIndex = i + classification.index;
+      if (globalIndex < result.length) {
+        result[globalIndex] = {
+          ...result[globalIndex],
+          type: classification.type as EntryType,
+        };
+      }
+    }
+
+    classified += batch.length;
+    if (onProgress) {
+      onProgress(classified, entries.length);
+    }
+
+    log('Classified batch', { batch: i / BATCH_SIZE + 1, classified, total: entries.length });
   }
 
-  return entries;
+  return result;
 }
 
 function determineInjectionMode(entry: SillyTavernEntry): EntryInjectionMode {

src/lib/services/prompts/definitions.ts

@@ -2746,34 +2746,6 @@ Respond with ONLY the translated text, no explanations.`,
   userContent: `{{content}}`,
 };
 
-// ============================================================================
-// AGENTIC RETRY PROMPTS
-// ============================================================================
-
-/**
- * Prompt sent when the agentic retrieval agent doesn't make tool calls.
- * Used to encourage the model to continue using tools or finish.
- */
-const agenticRetrievalRetryTemplate: PromptTemplate = {
-  id: 'agentic-retrieval-retry',
-  name: 'Agentic Retrieval Retry',
-  category: 'service',
-  description: 'Prompt sent when agentic retrieval agent stops calling tools',
-  content: 'Please use the available tools to gather relevant context, or call finish_retrieval when you are done.',
-};
-
-/**
- * Prompt sent when the lore management agent doesn't make tool calls.
- * Used to encourage the model to continue using tools or finish.
- */
-const loreManagementRetryTemplate: PromptTemplate = {
-  id: 'lore-management-retry',
-  name: 'Lore Management Retry',
-  category: 'service',
-  description: 'Prompt sent when lore management agent stops calling tools',
-  content: 'Please use the available tools to make any necessary changes, or call finish_lore_management if you are done reviewing the lorebook.',
-};
-
 // ============================================================================
 // COMBINED PROMPT TEMPLATES
 // ============================================================================
@@ -2796,8 +2768,6 @@ export const PROMPT_TEMPLATES: PromptTemplate[] = [
   loreManagementPromptTemplate,
   interactiveLorebookPromptTemplate,
   agenticRetrievalPromptTemplate,
-  agenticRetrievalRetryTemplate,
-  loreManagementRetryTemplate,
   characterCardImportPromptTemplate,
   vaultCharacterImportPromptTemplate,
   imagePromptAnalysisTemplate,