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1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 | /** * Intelligence Layer Unified Client * * Provides a unified API for intelligence operations that: * - Uses Rust backend (via Tauri commands) when running in Tauri environment * - Falls back to localStorage-based implementation in browser environment * * This replaces direct usage of: * - agent-memory.ts * - heartbeat-engine.ts * - context-compactor.ts * - reflection-engine.ts * - agent-identity.ts * * Usage: * ```typescript * import { intelligenceClient, toFrontendMemory, toBackendMemoryInput } from './intelligence-client'; * * // Store memory * const id = await intelligenceClient.memory.store({ * agent_id: 'agent-1', * memory_type: 'fact', * content: 'User prefers concise responses', * importance: 7, * }); * * // Search memories * const memories = await intelligenceClient.memory.search({ * agent_id: 'agent-1', * query: 'user preference', * limit: 10, * }); * * // Convert to frontend format if needed * const frontendMemories = memories.map(toFrontendMemory); * ``` */ import { invoke } from '@tauri-apps/api/core'; import { intelligence, type MemoryEntryInput, type PersistentMemory, type MemorySearchOptions as BackendSearchOptions, type MemoryStats as BackendMemoryStats, type HeartbeatConfig, type HeartbeatResult, type CompactableMessage, type CompactionResult, type CompactionCheck, type CompactionConfig, type MemoryEntryForAnalysis, type PatternObservation, type ImprovementSuggestion, type ReflectionIdentityProposal, type ReflectionResult, type ReflectionState, type ReflectionConfig, type IdentityFiles, type IdentityChangeProposal, type IdentitySnapshot, } from './intelligence-backend'; // === Environment Detection === /** * Check if running in Tauri environment */ export function isTauriEnv(): boolean { return typeof window !== 'undefined' && '__TAURI__' in window; } // === Frontend Types (for backward compatibility) === export type MemoryType = 'fact' | 'preference' | 'lesson' | 'context' | 'task'; export type MemorySource = 'auto' | 'user' | 'reflection' | 'llm-reflection'; export interface MemoryEntry { id: string; agentId: string; content: string; type: MemoryType; importance: number; source: MemorySource; tags: string[]; createdAt: string; lastAccessedAt: string; accessCount: number; conversationId?: string; } export interface MemorySearchOptions { agentId?: string; type?: MemoryType; types?: MemoryType[]; tags?: string[]; query?: string; limit?: number; minImportance?: number; } export interface MemoryStats { totalEntries: number; byType: Record<string, number>; byAgent: Record<string, number>; oldestEntry: string | null; newestEntry: string | null; storageSizeBytes: number; } // === Re-export types from intelligence-backend === export type { HeartbeatConfig, HeartbeatResult, HeartbeatAlert, CompactableMessage, CompactionResult, CompactionCheck, CompactionConfig, PatternObservation, ImprovementSuggestion, ReflectionResult, ReflectionState, ReflectionConfig, ReflectionIdentityProposal, IdentityFiles, IdentityChangeProposal, IdentitySnapshot, MemoryEntryForAnalysis, } from './intelligence-backend'; // === Mesh Types === export interface BehaviorPattern { id: string; pattern_type: PatternTypeVariant; frequency: number; last_occurrence: string; first_occurrence: string; confidence: number; context: PatternContext; } export function getPatternTypeString(patternType: PatternTypeVariant): string { if (typeof patternType === 'string') { return patternType; } return patternType.type; } export type PatternTypeVariant = | { type: 'SkillCombination'; skill_ids: string[] } | { type: 'TemporalTrigger'; hand_id: string; time_pattern: string } | { type: 'TaskPipelineMapping'; task_type: string; pipeline_id: string } | { type: 'InputPattern'; keywords: string[]; intent: string }; export interface PatternContext { skill_ids?: string[]; recent_topics?: string[]; intent?: string; time_of_day?: number; day_of_week?: number; } export interface WorkflowRecommendation { id: string; pipeline_id: string; confidence: number; reason: string; suggested_inputs: Record<string, unknown>; patterns_matched: string[]; timestamp: string; } export interface MeshConfig { enabled: boolean; min_confidence: number; max_recommendations: number; analysis_window_hours: number; } export interface MeshAnalysisResult { recommendations: WorkflowRecommendation[]; patterns_detected: number; timestamp: string; } export type ActivityType = | { type: 'skill_used'; skill_ids: string[] } | { type: 'pipeline_executed'; task_type: string; pipeline_id: string } | { type: 'input_received'; keywords: string[]; intent: string }; // === Persona Evolver Types === export type EvolutionChangeType = | 'instruction_addition' | 'instruction_refinement' | 'trait_addition' | 'style_adjustment' | 'domain_expansion'; export type InsightCategory = | 'communication_style' | 'technical_expertise' | 'task_efficiency' | 'user_preference' | 'knowledge_gap'; export type IdentityFileType = 'soul' | 'instructions'; export type ProposalStatus = 'pending' | 'approved' | 'rejected'; export interface EvolutionProposal { id: string; agent_id: string; target_file: IdentityFileType; change_type: EvolutionChangeType; reason: string; current_content: string; proposed_content: string; confidence: number; evidence: string[]; status: ProposalStatus; created_at: string; } export interface ProfileUpdate { section: string; previous: string; updated: string; source: string; } export interface EvolutionInsight { category: InsightCategory; observation: string; recommendation: string; confidence: number; } export interface EvolutionResult { agent_id: string; timestamp: string; profile_updates: ProfileUpdate[]; proposals: EvolutionProposal[]; insights: EvolutionInsight[]; evolved: boolean; } export interface PersonaEvolverConfig { auto_profile_update: boolean; min_preferences_for_update: number; min_conversations_for_evolution: number; enable_instruction_refinement: boolean; enable_soul_evolution: boolean; max_proposals_per_cycle: number; } export interface PersonaEvolverState { last_evolution: string | null; total_evolutions: number; pending_proposals: number; profile_enrichment_score: number; } // === Type Conversion Utilities === /** * Convert backend PersistentMemory to frontend MemoryEntry format */ export function toFrontendMemory(backend: PersistentMemory): MemoryEntry { return { id: backend.id, agentId: backend.agent_id, content: backend.content, type: backend.memory_type as MemoryType, importance: backend.importance, source: backend.source as MemorySource, tags: parseTags(backend.tags), createdAt: backend.created_at, lastAccessedAt: backend.last_accessed_at, accessCount: backend.access_count, conversationId: backend.conversation_id ?? undefined, }; } /** * Convert frontend MemoryEntry to backend MemoryEntryInput format */ export function toBackendMemoryInput(entry: Omit<MemoryEntry, 'id' | 'createdAt' | 'lastAccessedAt' | 'accessCount'>): MemoryEntryInput { return { agent_id: entry.agentId, memory_type: entry.type, content: entry.content, importance: entry.importance, source: entry.source, tags: entry.tags, conversation_id: entry.conversationId, }; } /** * Convert frontend search options to backend format */ export function toBackendSearchOptions(options: MemorySearchOptions): BackendSearchOptions { return { agent_id: options.agentId, memory_type: options.type, tags: options.tags, query: options.query, limit: options.limit, min_importance: options.minImportance, }; } /** * Convert backend stats to frontend format */ export function toFrontendStats(backend: BackendMemoryStats): MemoryStats { return { totalEntries: backend.total_entries, byType: backend.by_type, byAgent: backend.by_agent, oldestEntry: backend.oldest_entry, newestEntry: backend.newest_entry, storageSizeBytes: backend.storage_size_bytes ?? 0, }; } /** * Parse tags from backend (JSON string or array) */ function parseTags(tags: string | string[]): string[] { if (Array.isArray(tags)) return tags; if (!tags) return []; try { return JSON.parse(tags); } catch { return []; } } // === LocalStorage Fallback Implementation === const FALLBACK_STORAGE_KEY = 'zclaw-intelligence-fallback'; interface FallbackMemoryStore { memories: MemoryEntry[]; } function getFallbackStore(): FallbackMemoryStore { try { const stored = localStorage.getItem(FALLBACK_STORAGE_KEY); if (stored) { return JSON.parse(stored); } } catch { // ignore } return { memories: [] }; } function saveFallbackStore(store: FallbackMemoryStore): void { try { localStorage.setItem(FALLBACK_STORAGE_KEY, JSON.stringify(store)); } catch { console.warn('[IntelligenceClient] Failed to save to localStorage'); } } // Fallback Memory API const fallbackMemory = { async init(): Promise<void> { // No-op for localStorage }, async store(entry: MemoryEntryInput): Promise<string> { const store = getFallbackStore(); const id = `mem_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`; const now = new Date().toISOString(); const memory: MemoryEntry = { id, agentId: entry.agent_id, content: entry.content, type: entry.memory_type as MemoryType, importance: entry.importance ?? 5, source: (entry.source as MemorySource) ?? 'auto', tags: entry.tags ?? [], createdAt: now, lastAccessedAt: now, accessCount: 0, conversationId: entry.conversation_id, }; store.memories.push(memory); saveFallbackStore(store); return id; }, async get(id: string): Promise<MemoryEntry | null> { const store = getFallbackStore(); return store.memories.find(m => m.id === id) ?? null; }, async search(options: MemorySearchOptions): Promise<MemoryEntry[]> { const store = getFallbackStore(); let results = store.memories; if (options.agentId) { results = results.filter(m => m.agentId === options.agentId); } if (options.type) { results = results.filter(m => m.type === options.type); } if (options.minImportance !== undefined) { results = results.filter(m => m.importance >= options.minImportance!); } if (options.query) { const queryLower = options.query.toLowerCase(); results = results.filter(m => m.content.toLowerCase().includes(queryLower) || m.tags.some(t => t.toLowerCase().includes(queryLower)) ); } if (options.limit) { results = results.slice(0, options.limit); } return results; }, async delete(id: string): Promise<void> { const store = getFallbackStore(); store.memories = store.memories.filter(m => m.id !== id); saveFallbackStore(store); }, async deleteAll(agentId: string): Promise<number> { const store = getFallbackStore(); const before = store.memories.length; store.memories = store.memories.filter(m => m.agentId !== agentId); saveFallbackStore(store); return before - store.memories.length; }, async stats(): Promise<MemoryStats> { const store = getFallbackStore(); const byType: Record<string, number> = {}; const byAgent: Record<string, number> = {}; for (const m of store.memories) { byType[m.type] = (byType[m.type] ?? 0) + 1; byAgent[m.agentId] = (byAgent[m.agentId] ?? 0) + 1; } const sorted = [...store.memories].sort((a, b) => new Date(a.createdAt).getTime() - new Date(b.createdAt).getTime() ); // Estimate storage size from serialized data let storageSizeBytes = 0; try { const serialized = JSON.stringify(store.memories); storageSizeBytes = new Blob([serialized]).size; } catch { // Ignore serialization errors } return { totalEntries: store.memories.length, byType, byAgent, oldestEntry: sorted[0]?.createdAt ?? null, newestEntry: sorted[sorted.length - 1]?.createdAt ?? null, storageSizeBytes, }; }, async export(): Promise<MemoryEntry[]> { const store = getFallbackStore(); return store.memories; }, async import(memories: MemoryEntry[]): Promise<number> { const store = getFallbackStore(); store.memories.push(...memories); saveFallbackStore(store); return memories.length; }, async dbPath(): Promise<string> { return 'localStorage://zclaw-intelligence-fallback'; }, }; // Fallback Compactor API const fallbackCompactor = { async estimateTokens(text: string): Promise<number> { // Simple heuristic: ~4 chars per token for English, ~1.5 for CJK const cjkChars = (text.match(/[\u4e00-\u9fff\u3040-\u30ff]/g) ?? []).length; const otherChars = text.length - cjkChars; return Math.ceil(cjkChars * 1.5 + otherChars / 4); }, async estimateMessagesTokens(messages: CompactableMessage[]): Promise<number> { let total = 0; for (const m of messages) { total += await fallbackCompactor.estimateTokens(m.content); } return total; }, async checkThreshold( messages: CompactableMessage[], config?: CompactionConfig ): Promise<CompactionCheck> { const threshold = config?.soft_threshold_tokens ?? 15000; const currentTokens = await fallbackCompactor.estimateMessagesTokens(messages); return { should_compact: currentTokens >= threshold, current_tokens: currentTokens, threshold, urgency: currentTokens >= (config?.hard_threshold_tokens ?? 20000) ? 'hard' : currentTokens >= threshold ? 'soft' : 'none', }; }, async compact( messages: CompactableMessage[], _agentId: string, _conversationId?: string, config?: CompactionConfig ): Promise<CompactionResult> { // Simple rule-based compaction: keep last N messages const keepRecent = config?.keep_recent_messages ?? 10; const retained = messages.slice(-keepRecent); return { compacted_messages: retained, summary: `[Compacted ${messages.length - retained.length} earlier messages]`, original_count: messages.length, retained_count: retained.length, flushed_memories: 0, tokens_before_compaction: await fallbackCompactor.estimateMessagesTokens(messages), tokens_after_compaction: await fallbackCompactor.estimateMessagesTokens(retained), }; }, }; // Fallback Reflection API const fallbackReflection = { _conversationCount: 0, _lastReflection: null as string | null, _history: [] as ReflectionResult[], async init(_config?: ReflectionConfig): Promise<void> { // No-op }, async recordConversation(): Promise<void> { fallbackReflection._conversationCount++; }, async shouldReflect(): Promise<boolean> { return fallbackReflection._conversationCount >= 5; }, async reflect(agentId: string, memories: MemoryEntryForAnalysis[]): Promise<ReflectionResult> { fallbackReflection._conversationCount = 0; fallbackReflection._lastReflection = new Date().toISOString(); // Analyze patterns (simple rule-based implementation) const patterns: PatternObservation[] = []; const improvements: ImprovementSuggestion[] = []; const identityProposals: ReflectionIdentityProposal[] = []; // Count memory types const typeCounts: Record<string, number> = {}; for (const m of memories) { typeCounts[m.memory_type] = (typeCounts[m.memory_type] || 0) + 1; } // Pattern: Too many tasks const taskCount = typeCounts['task'] || 0; if (taskCount >= 5) { const taskMemories = memories.filter(m => m.memory_type === 'task').slice(0, 3); patterns.push({ observation: `积累了 ${taskCount} 个待办任务，可能存在任务管理不善`, frequency: taskCount, sentiment: 'negative', evidence: taskMemories.map(m => m.content), }); improvements.push({ area: '任务管理', suggestion: '清理已完成的任务记忆，对长期未处理的任务降低重要性', priority: 'high', }); } // Pattern: Strong preference accumulation const prefCount = typeCounts['preference'] || 0; if (prefCount >= 5) { const prefMemories = memories.filter(m => m.memory_type === 'preference').slice(0, 3); patterns.push({ observation: `已记录 ${prefCount} 个用户偏好，对用户习惯有较好理解`, frequency: prefCount, sentiment: 'positive', evidence: prefMemories.map(m => m.content), }); } // Pattern: Lessons learned const lessonCount = typeCounts['lesson'] || 0; if (lessonCount >= 5) { patterns.push({ observation: `积累了 ${lessonCount} 条经验教训，知识库在成长`, frequency: lessonCount, sentiment: 'positive', evidence: memories.filter(m => m.memory_type === 'lesson').slice(0, 3).map(m => m.content), }); } // Pattern: High-access important memories const highAccessMemories = memories.filter(m => m.access_count >= 5 && m.importance >= 7); if (highAccessMemories.length >= 3) { patterns.push({ observation: `有 ${highAccessMemories.length} 条高频访问的重要记忆，核心知识正在形成`, frequency: highAccessMemories.length, sentiment: 'positive', evidence: highAccessMemories.slice(0, 3).map(m => m.content), }); } // Pattern: Low importance memories accumulating const lowImportanceCount = memories.filter(m => m.importance <= 3).length; if (lowImportanceCount > 20) { patterns.push({ observation: `有 ${lowImportanceCount} 条低重要性记忆，建议清理`, frequency: lowImportanceCount, sentiment: 'neutral', evidence: [], }); improvements.push({ area: '记忆管理', suggestion: '执行记忆清理，移除30天以上未访问且重要性低于3的记忆', priority: 'medium', }); } // Generate identity proposal if negative patterns exist const negativePatterns = patterns.filter(p => p.sentiment === 'negative'); if (negativePatterns.length >= 2) { const additions = negativePatterns.map(p => `- 注意: ${p.observation}`).join('\n'); identityProposals.push({ agent_id: agentId, field: 'instructions', current_value: '...', proposed_value: `\n\n## 自我反思改进\n${additions}`, reason: `基于 ${negativePatterns.length} 个负面模式观察，建议在指令中增加自我改进提醒`, }); } // Suggestion: User profile enrichment if (prefCount < 3) { improvements.push({ area: '用户理解', suggestion: '主动在对话中了解用户偏好（沟通风格、技术栈、工作习惯），丰富用户画像', priority: 'medium', }); } const result: ReflectionResult = { patterns, improvements, identity_proposals: identityProposals, new_memories: patterns.filter(p => p.frequency >= 3).length + improvements.filter(i => i.priority === 'high').length, timestamp: new Date().toISOString(), }; // Store in history fallbackReflection._history.push(result); if (fallbackReflection._history.length > 20) { fallbackReflection._history = fallbackReflection._history.slice(-10); } return result; }, async getHistory(limit?: number): Promise<ReflectionResult[]> { const l = limit ?? 10; return fallbackReflection._history.slice(-l).reverse(); }, async getState(): Promise<ReflectionState> { return { conversations_since_reflection: fallbackReflection._conversationCount, last_reflection_time: fallbackReflection._lastReflection, last_reflection_agent_id: null, }; }, }; // Fallback Identity API with localStorage persistence const IDENTITY_STORAGE_KEY = 'zclaw-fallback-identities'; const PROPOSALS_STORAGE_KEY = 'zclaw-fallback-proposals'; const SNAPSHOTS_STORAGE_KEY = 'zclaw-fallback-snapshots'; function loadIdentitiesFromStorage(): Map<string, IdentityFiles> { try { const stored = localStorage.getItem(IDENTITY_STORAGE_KEY); if (stored) { const parsed = JSON.parse(stored) as Record<string, IdentityFiles>; return new Map(Object.entries(parsed)); } } catch { console.warn('[IntelligenceClient] Failed to load identities from localStorage'); } return new Map(); } function saveIdentitiesToStorage(identities: Map<string, IdentityFiles>): void { try { const obj = Object.fromEntries(identities); localStorage.setItem(IDENTITY_STORAGE_KEY, JSON.stringify(obj)); } catch { console.warn('[IntelligenceClient] Failed to save identities to localStorage'); } } function loadProposalsFromStorage(): IdentityChangeProposal[] { try { const stored = localStorage.getItem(PROPOSALS_STORAGE_KEY); if (stored) { return JSON.parse(stored) as IdentityChangeProposal[]; } } catch { console.warn('[IntelligenceClient] Failed to load proposals from localStorage'); } return []; } function saveProposalsToStorage(proposals: IdentityChangeProposal[]): void { try { localStorage.setItem(PROPOSALS_STORAGE_KEY, JSON.stringify(proposals)); } catch { console.warn('[IntelligenceClient] Failed to save proposals to localStorage'); } } function loadSnapshotsFromStorage(): IdentitySnapshot[] { try { const stored = localStorage.getItem(SNAPSHOTS_STORAGE_KEY); if (stored) { return JSON.parse(stored) as IdentitySnapshot[]; } } catch { console.warn('[IntelligenceClient] Failed to load snapshots from localStorage'); } return []; } function saveSnapshotsToStorage(snapshots: IdentitySnapshot[]): void { try { localStorage.setItem(SNAPSHOTS_STORAGE_KEY, JSON.stringify(snapshots)); } catch { console.warn('[IntelligenceClient] Failed to save snapshots to localStorage'); } } const fallbackIdentities = loadIdentitiesFromStorage(); let fallbackProposals = loadProposalsFromStorage(); let fallbackSnapshots = loadSnapshotsFromStorage(); const fallbackIdentity = { async get(agentId: string): Promise<IdentityFiles> { if (!fallbackIdentities.has(agentId)) { const defaults: IdentityFiles = { soul: '# Agent Soul\n\nA helpful AI assistant.', instructions: '# Instructions\n\nBe helpful and concise.', user_profile: '# User Profile\n\nNo profile yet.', }; fallbackIdentities.set(agentId, defaults); saveIdentitiesToStorage(fallbackIdentities); } return fallbackIdentities.get(agentId)!; }, async getFile(agentId: string, file: string): Promise<string> { const files = await fallbackIdentity.get(agentId); return files[file as keyof IdentityFiles] ?? ''; }, async buildPrompt(agentId: string, memoryContext?: string): Promise<string> { const files = await fallbackIdentity.get(agentId); let prompt = `${files.soul}\n\n## Instructions\n${files.instructions}\n\n## User Profile\n${files.user_profile}`; if (memoryContext) { prompt += `\n\n## Memory Context\n${memoryContext}`; } return prompt; }, async updateUserProfile(agentId: string, content: string): Promise<void> { const files = await fallbackIdentity.get(agentId); files.user_profile = content; fallbackIdentities.set(agentId, files); saveIdentitiesToStorage(fallbackIdentities); }, async appendUserProfile(agentId: string, addition: string): Promise<void> { const files = await fallbackIdentity.get(agentId); files.user_profile += `\n\n${addition}`; fallbackIdentities.set(agentId, files); saveIdentitiesToStorage(fallbackIdentities); }, async proposeChange( agentId: string, file: 'soul' | 'instructions', suggestedContent: string, reason: string ): Promise<IdentityChangeProposal> { const files = await fallbackIdentity.get(agentId); const proposal: IdentityChangeProposal = { id: `prop_${Date.now()}`, agent_id: agentId, file, reason, current_content: files[file] ?? '', suggested_content: suggestedContent, status: 'pending', created_at: new Date().toISOString(), }; fallbackProposals.push(proposal); saveProposalsToStorage(fallbackProposals); return proposal; }, async approveProposal(proposalId: string): Promise<IdentityFiles> { const proposal = fallbackProposals.find(p => p.id === proposalId); if (!proposal) throw new Error('Proposal not found'); const files = await fallbackIdentity.get(proposal.agent_id); // Create snapshot before applying change const snapshot: IdentitySnapshot = { id: `snap_${Date.now()}`, agent_id: proposal.agent_id, files: { ...files }, timestamp: new Date().toISOString(), reason: `Before applying: ${proposal.reason}`, }; fallbackSnapshots.unshift(snapshot); // Keep only last 20 snapshots per agent const agentSnapshots = fallbackSnapshots.filter(s => s.agent_id === proposal.agent_id); if (agentSnapshots.length > 20) { const toRemove = agentSnapshots.slice(20); fallbackSnapshots = fallbackSnapshots.filter(s => !toRemove.includes(s)); } saveSnapshotsToStorage(fallbackSnapshots); proposal.status = 'approved'; files[proposal.file] = proposal.suggested_content; fallbackIdentities.set(proposal.agent_id, files); saveIdentitiesToStorage(fallbackIdentities); saveProposalsToStorage(fallbackProposals); return files; }, async rejectProposal(proposalId: string): Promise<void> { const proposal = fallbackProposals.find(p => p.id === proposalId); if (proposal) { proposal.status = 'rejected'; saveProposalsToStorage(fallbackProposals); } }, async getPendingProposals(agentId?: string): Promise<IdentityChangeProposal[]> { return fallbackProposals.filter(p => p.status === 'pending' && (!agentId || p.agent_id === agentId) ); }, async updateFile(agentId: string, file: string, content: string): Promise<void> { const files = await fallbackIdentity.get(agentId); if (file in files) { // IdentityFiles has known properties, update safely const key = file as keyof IdentityFiles; if (key in files) { files[key] = content; fallbackIdentities.set(agentId, files); saveIdentitiesToStorage(fallbackIdentities); } } }, async getSnapshots(agentId: string, limit?: number): Promise<IdentitySnapshot[]> { const agentSnapshots = fallbackSnapshots.filter(s => s.agent_id === agentId); return agentSnapshots.slice(0, limit ?? 10); }, async restoreSnapshot(agentId: string, snapshotId: string): Promise<void> { const snapshot = fallbackSnapshots.find(s => s.id === snapshotId && s.agent_id === agentId); if (!snapshot) throw new Error('Snapshot not found'); // Create a snapshot of current state before restore const currentFiles = await fallbackIdentity.get(agentId); const beforeRestoreSnapshot: IdentitySnapshot = { id: `snap_${Date.now()}`, agent_id: agentId, files: { ...currentFiles }, timestamp: new Date().toISOString(), reason: 'Auto-backup before restore', }; fallbackSnapshots.unshift(beforeRestoreSnapshot); saveSnapshotsToStorage(fallbackSnapshots); // Restore the snapshot fallbackIdentities.set(agentId, { ...snapshot.files }); saveIdentitiesToStorage(fallbackIdentities); }, async listAgents(): Promise<string[]> { return Array.from(fallbackIdentities.keys()); }, async deleteAgent(agentId: string): Promise<void> { fallbackIdentities.delete(agentId); }, }; // Fallback Heartbeat API const fallbackHeartbeat = { _configs: new Map<string, HeartbeatConfig>(), async init(agentId: string, config?: HeartbeatConfig): Promise<void> { if (config) { fallbackHeartbeat._configs.set(agentId, config); } }, async start(_agentId: string): Promise<void> { // No-op for fallback (no background tasks in browser) }, async stop(_agentId: string): Promise<void> { // No-op }, async tick(_agentId: string): Promise<HeartbeatResult> { return { status: 'ok', alerts: [], checked_items: 0, timestamp: new Date().toISOString(), }; }, async getConfig(agentId: string): Promise<HeartbeatConfig> { return fallbackHeartbeat._configs.get(agentId) ?? { enabled: false, interval_minutes: 30, quiet_hours_start: null, quiet_hours_end: null, notify_channel: 'ui', proactivity_level: 'standard', max_alerts_per_tick: 5, }; }, async updateConfig(agentId: string, config: HeartbeatConfig): Promise<void> { fallbackHeartbeat._configs.set(agentId, config); }, async getHistory(_agentId: string, _limit?: number): Promise<HeartbeatResult[]> { return []; }, }; // === Unified Client Export === /** * Unified intelligence client that automatically selects backend or fallback */ export const intelligenceClient = { memory: { init: async (): Promise<void> => { if (isTauriEnv()) { await intelligence.memory.init(); } else { await fallbackMemory.init(); } }, store: async (entry: MemoryEntryInput): Promise<string> => { if (isTauriEnv()) { return intelligence.memory.store(entry); } return fallbackMemory.store(entry); }, get: async (id: string): Promise<MemoryEntry | null> => { if (isTauriEnv()) { const result = await intelligence.memory.get(id); return result ? toFrontendMemory(result) : null; } return fallbackMemory.get(id); }, search: async (options: MemorySearchOptions): Promise<MemoryEntry[]> => { if (isTauriEnv()) { const results = await intelligence.memory.search(toBackendSearchOptions(options)); return results.map(toFrontendMemory); } return fallbackMemory.search(options); }, delete: async (id: string): Promise<void> => { if (isTauriEnv()) { await intelligence.memory.delete(id); } else { await fallbackMemory.delete(id); } }, deleteAll: async (agentId: string): Promise<number> => { if (isTauriEnv()) { return intelligence.memory.deleteAll(agentId); } return fallbackMemory.deleteAll(agentId); }, stats: async (): Promise<MemoryStats> => { if (isTauriEnv()) { const stats = await intelligence.memory.stats(); return toFrontendStats(stats); } return fallbackMemory.stats(); }, export: async (): Promise<MemoryEntry[]> => { if (isTauriEnv()) { const results = await intelligence.memory.export(); return results.map(toFrontendMemory); } return fallbackMemory.export(); }, import: async (memories: MemoryEntry[]): Promise<number> => { if (isTauriEnv()) { // Convert to backend format const backendMemories = memories.map(m => ({ ...m, agent_id: m.agentId, memory_type: m.type, last_accessed_at: m.lastAccessedAt, created_at: m.createdAt, access_count: m.accessCount, conversation_id: m.conversationId ?? null, tags: JSON.stringify(m.tags), embedding: null, })); return intelligence.memory.import(backendMemories as PersistentMemory[]); } return fallbackMemory.import(memories); }, dbPath: async (): Promise<string> => { if (isTauriEnv()) { return intelligence.memory.dbPath(); } return fallbackMemory.dbPath(); }, }, heartbeat: { init: async (agentId: string, config?: HeartbeatConfig): Promise<void> => { if (isTauriEnv()) { await intelligence.heartbeat.init(agentId, config); } else { await fallbackHeartbeat.init(agentId, config); } }, start: async (agentId: string): Promise<void> => { if (isTauriEnv()) { await intelligence.heartbeat.start(agentId); } else { await fallbackHeartbeat.start(agentId); } }, stop: async (agentId: string): Promise<void> => { if (isTauriEnv()) { await intelligence.heartbeat.stop(agentId); } else { await fallbackHeartbeat.stop(agentId); } }, tick: async (agentId: string): Promise<HeartbeatResult> => { if (isTauriEnv()) { return intelligence.heartbeat.tick(agentId); } return fallbackHeartbeat.tick(agentId); }, getConfig: async (agentId: string): Promise<HeartbeatConfig> => { if (isTauriEnv()) { return intelligence.heartbeat.getConfig(agentId); } return fallbackHeartbeat.getConfig(agentId); }, updateConfig: async (agentId: string, config: HeartbeatConfig): Promise<void> => { if (isTauriEnv()) { await intelligence.heartbeat.updateConfig(agentId, config); } else { await fallbackHeartbeat.updateConfig(agentId, config); } }, getHistory: async (agentId: string, limit?: number): Promise<HeartbeatResult[]> => { if (isTauriEnv()) { return intelligence.heartbeat.getHistory(agentId, limit); } return fallbackHeartbeat.getHistory(agentId, limit); }, updateMemoryStats: async ( agentId: string, taskCount: number, totalEntries: number, storageSizeBytes: number ): Promise<void> => { if (isTauriEnv()) { await invoke('heartbeat_update_memory_stats', { agent_id: agentId, task_count: taskCount, total_entries: totalEntries, storage_size_bytes: storageSizeBytes, }); } // Fallback: store in localStorage for non-Tauri environment const cache = { taskCount, totalEntries, storageSizeBytes, lastUpdated: new Date().toISOString(), }; localStorage.setItem(`zclaw-memory-stats-${agentId}`, JSON.stringify(cache)); }, recordCorrection: async (agentId: string, correctionType: string): Promise<void> => { if (isTauriEnv()) { await invoke('heartbeat_record_correction', { agent_id: agentId, correction_type: correctionType, }); } // Fallback: store in localStorage for non-Tauri environment const key = `zclaw-corrections-${agentId}`; const stored = localStorage.getItem(key); const counters = stored ? JSON.parse(stored) : {}; counters[correctionType] = (counters[correctionType] || 0) + 1; localStorage.setItem(key, JSON.stringify(counters)); }, recordInteraction: async (agentId: string): Promise<void> => { if (isTauriEnv()) { await invoke('heartbeat_record_interaction', { agent_id: agentId, }); } // Fallback: store in localStorage for non-Tauri environment localStorage.setItem(`zclaw-last-interaction-${agentId}`, new Date().toISOString()); }, }, compactor: { estimateTokens: async (text: string): Promise<number> => { if (isTauriEnv()) { return intelligence.compactor.estimateTokens(text); } return fallbackCompactor.estimateTokens(text); }, estimateMessagesTokens: async (messages: CompactableMessage[]): Promise<number> => { if (isTauriEnv()) { return intelligence.compactor.estimateMessagesTokens(messages); } return fallbackCompactor.estimateMessagesTokens(messages); }, checkThreshold: async ( messages: CompactableMessage[], config?: CompactionConfig ): Promise<CompactionCheck> => { if (isTauriEnv()) { return intelligence.compactor.checkThreshold(messages, config); } return fallbackCompactor.checkThreshold(messages, config); }, compact: async ( messages: CompactableMessage[], agentId: string, conversationId?: string, config?: CompactionConfig ): Promise<CompactionResult> => { if (isTauriEnv()) { return intelligence.compactor.compact(messages, agentId, conversationId, config); } return fallbackCompactor.compact(messages, agentId, conversationId, config); }, }, reflection: { init: async (config?: ReflectionConfig): Promise<void> => { if (isTauriEnv()) { await intelligence.reflection.init(config); } else { await fallbackReflection.init(config); } }, recordConversation: async (): Promise<void> => { if (isTauriEnv()) { await intelligence.reflection.recordConversation(); } else { await fallbackReflection.recordConversation(); } }, shouldReflect: async (): Promise<boolean> => { if (isTauriEnv()) { return intelligence.reflection.shouldReflect(); } return fallbackReflection.shouldReflect(); }, reflect: async (agentId: string, memories: MemoryEntryForAnalysis[]): Promise<ReflectionResult> => { if (isTauriEnv()) { return intelligence.reflection.reflect(agentId, memories); } return fallbackReflection.reflect(agentId, memories); }, getHistory: async (limit?: number): Promise<ReflectionResult[]> => { if (isTauriEnv()) { return intelligence.reflection.getHistory(limit); } return fallbackReflection.getHistory(limit); }, getState: async (): Promise<ReflectionState> => { if (isTauriEnv()) { return intelligence.reflection.getState(); } return fallbackReflection.getState(); }, }, identity: { get: async (agentId: string): Promise<IdentityFiles> => { if (isTauriEnv()) { return intelligence.identity.get(agentId); } return fallbackIdentity.get(agentId); }, getFile: async (agentId: string, file: string): Promise<string> => { if (isTauriEnv()) { return intelligence.identity.getFile(agentId, file); } return fallbackIdentity.getFile(agentId, file); }, buildPrompt: async (agentId: string, memoryContext?: string): Promise<string> => { if (isTauriEnv()) { return intelligence.identity.buildPrompt(agentId, memoryContext); } return fallbackIdentity.buildPrompt(agentId, memoryContext); }, updateUserProfile: async (agentId: string, content: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.updateUserProfile(agentId, content); } else { await fallbackIdentity.updateUserProfile(agentId, content); } }, appendUserProfile: async (agentId: string, addition: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.appendUserProfile(agentId, addition); } else { await fallbackIdentity.appendUserProfile(agentId, addition); } }, proposeChange: async ( agentId: string, file: 'soul' | 'instructions', suggestedContent: string, reason: string ): Promise<IdentityChangeProposal> => { if (isTauriEnv()) { return intelligence.identity.proposeChange(agentId, file, suggestedContent, reason); } return fallbackIdentity.proposeChange(agentId, file, suggestedContent, reason); }, approveProposal: async (proposalId: string): Promise<IdentityFiles> => { if (isTauriEnv()) { return intelligence.identity.approveProposal(proposalId); } return fallbackIdentity.approveProposal(proposalId); }, rejectProposal: async (proposalId: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.rejectProposal(proposalId); } else { await fallbackIdentity.rejectProposal(proposalId); } }, getPendingProposals: async (agentId?: string): Promise<IdentityChangeProposal[]> => { if (isTauriEnv()) { return intelligence.identity.getPendingProposals(agentId); } return fallbackIdentity.getPendingProposals(agentId); }, updateFile: async (agentId: string, file: string, content: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.updateFile(agentId, file, content); } else { await fallbackIdentity.updateFile(agentId, file, content); } }, getSnapshots: async (agentId: string, limit?: number): Promise<IdentitySnapshot[]> => { if (isTauriEnv()) { return intelligence.identity.getSnapshots(agentId, limit); } return fallbackIdentity.getSnapshots(agentId, limit); }, restoreSnapshot: async (agentId: string, snapshotId: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.restoreSnapshot(agentId, snapshotId); } else { await fallbackIdentity.restoreSnapshot(agentId, snapshotId); } }, listAgents: async (): Promise<string[]> => { if (isTauriEnv()) { return intelligence.identity.listAgents(); } return fallbackIdentity.listAgents(); }, deleteAgent: async (agentId: string): Promise<void> => { if (isTauriEnv()) { await intelligence.identity.deleteAgent(agentId); } else { await fallbackIdentity.deleteAgent(agentId); } }, }, }; export default intelligenceClient; |