multimind-sdk/dist/advancedAgent.js

This SDK gives JavaScript/TypeScript developers full access to advanced AI features like agent orchestration, RAG, and fine-tuning — without needing to manage backend code.

import { py } from './bridge/multimind-bridge.js';
export class AdvancedAgent {
    constructor(config) {
        this.memory = [];
        this.tools = new Map();
        this.config = config;
        if (config.tools) {
            config.tools.forEach(tool => this.tools.set(tool.name, tool));
        }
    }
    async initialize() {
        try {
            this.agent = await py `AgentClient(
        name=${this.config.name},
        model=${this.config.model},
        temperature=${this.config.temperature || 0.7},
        max_tokens=${this.config.maxTokens || 1000},
        memory_capacity=${this.config.memoryCapacity || 100}
      )`;
            // Add tools to the agent
            for (const [name, tool] of this.tools) {
                await this.addTool(name, tool);
            }
            // Set up workflow if provided
            if (this.config.workflow) {
                await this.setupWorkflow(this.config.workflow);
            }
            return { success: true, message: 'Advanced agent initialized' };
        }
        catch (error) {
            console.error('Error initializing advanced agent:', error);
            throw error;
        }
    }
    async addTool(name, tool) {
        try {
            // Register tool with Python agent
            await py `self.agent.add_tool(${name}, ${tool.description}, ${tool.parameters || {}})`;
            // Store tool reference
            this.tools.set(name, tool);
            return { success: true, message: `Tool ${name} added successfully` };
        }
        catch (error) {
            console.error('Error adding tool:', error);
            throw error;
        }
    }
    async removeTool(name) {
        try {
            await py `self.agent.remove_tool(${name})`;
            this.tools.delete(name);
            return { success: true, message: `Tool ${name} removed successfully` };
        }
        catch (error) {
            console.error('Error removing tool:', error);
            throw error;
        }
    }
    async addMemory(entry) {
        try {
            const memoryEntry = {
                ...entry,
                id: `mem_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
                timestamp: new Date().toISOString()
            };
            this.memory.push(memoryEntry);
            // Add to Python agent memory
            await py `self.agent.add_memory(
        memory_id=${memoryEntry.id},
        content=${memoryEntry.content},
        memory_type=${memoryEntry.type},
        metadata=${memoryEntry.metadata || {}}
      )`;
            return { success: true, message: 'Memory entry added', id: memoryEntry.id };
        }
        catch (error) {
            console.error('Error adding memory:', error);
            throw error;
        }
    }
    async getMemory(query, type, limit) {
        try {
            let filteredMemory = this.memory;
            if (type) {
                filteredMemory = filteredMemory.filter(entry => entry.type === type);
            }
            if (query) {
                // Simple text-based filtering - in production, you'd use semantic search
                filteredMemory = filteredMemory.filter(entry => JSON.stringify(entry.content).toLowerCase().includes(query.toLowerCase()));
            }
            if (limit) {
                filteredMemory = filteredMemory.slice(-limit);
            }
            return filteredMemory;
        }
        catch (error) {
            console.error('Error getting memory:', error);
            throw error;
        }
    }
    async clearMemory(type) {
        try {
            if (type) {
                this.memory = this.memory.filter(entry => entry.type !== type);
                await py `self.agent.clear_memory(memory_type=${type})`;
            }
            else {
                this.memory = [];
                await py `self.agent.clear_memory()`;
            }
            return { success: true, message: `Memory cleared${type ? ` (${type})` : ''}` };
        }
        catch (error) {
            console.error('Error clearing memory:', error);
            throw error;
        }
    }
    async run(input, context) {
        try {
            const result = await py `self.agent.run(
        input=${input},
        context=${context || {}},
        tools=${Array.from(this.tools.keys())}
      )`;
            return {
                response: result.response,
                toolsUsed: result.tools_used || [],
                memoryAccessed: result.memory_accessed || [],
                confidence: result.confidence || 0.5,
                reasoning: result.reasoning
            };
        }
        catch (error) {
            console.error('Error running agent:', error);
            throw error;
        }
    }
    async executeWorkflow(workflowId, input) {
        try {
            const result = await py `self.agent.execute_workflow(
        workflow_id=${workflowId},
        input=${input}
      )`;
            return result;
        }
        catch (error) {
            console.error('Error executing workflow:', error);
            throw error;
        }
    }
    async setupWorkflow(steps) {
        try {
            await py `self.agent.setup_workflow(${steps})`;
            return { success: true, message: 'Workflow setup successfully' };
        }
        catch (error) {
            console.error('Error setting up workflow:', error);
            throw error;
        }
    }
    async addWorkflowStep(step) {
        try {
            await py `self.agent.add_workflow_step(${step})`;
            return { success: true, message: 'Workflow step added' };
        }
        catch (error) {
            console.error('Error adding workflow step:', error);
            throw error;
        }
    }
    async getWorkflowStatus(workflowId) {
        try {
            const status = await py `self.agent.get_workflow_status(${workflowId})`;
            return status;
        }
        catch (error) {
            console.error('Error getting workflow status:', error);
            throw error;
        }
    }
    async chainModels(models, input, strategy = 'sequential') {
        try {
            const result = await py `self.agent.chain_models(
        models=${models},
        input=${input},
        strategy=${strategy}
      )`;
            return result;
        }
        catch (error) {
            console.error('Error chaining models:', error);
            throw error;
        }
    }
    async getAgentStats() {
        try {
            const stats = await py `self.agent.get_stats()`;
            return {
                ...stats,
                memorySize: this.memory.length,
                toolsCount: this.tools.size
            };
        }
        catch (error) {
            console.error('Error getting agent stats:', error);
            throw error;
        }
    }
    async updateConfig(updates) {
        try {
            await py `self.agent.update_config(${updates})`;
            this.config = { ...this.config, ...updates };
            return { success: true, message: 'Agent config updated' };
        }
        catch (error) {
            console.error('Error updating agent config:', error);
            throw error;
        }
    }
}
// Pre-built tools
export const builtInTools = {
    search: {
        name: 'search',
        description: 'Search the web for information',
        function: async (query) => {
            // Implementation would connect to a search API
            return `Search results for: ${query}`;
        }
    },
    calculator: {
        name: 'calculator',
        description: 'Perform mathematical calculations',
        function: async (expression) => {
            try {
                return eval(expression);
            }
            catch (error) {
                return 'Invalid expression';
            }
        }
    },
    weather: {
        name: 'weather',
        description: 'Get weather information for a location',
        function: async (location) => {
            // Implementation would connect to a weather API
            return `Weather for ${location}: Sunny, 25°C`;
        }
    }
};
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