langgraph_used
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@@ -31,6 +31,8 @@ import * as ImagePicker from 'expo-image-picker';
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import { AIRole } from '../types';
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import { colors, typography, spacing, borderRadius, shadows } from '../theme/colors';
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import { aiService, AIMessage } from '../services/ai.service';
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import { langGraphService } from '../services/langgraph.service';
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import { HumanMessage, AIMessage as LangChainAIMessage, SystemMessage } from "@langchain/core/messages";
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import { assetsService } from '../services/assets.service';
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import { useAuth } from '../context/AuthContext';
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import { AI_CONFIG, getVaultStorageKeys } from '../config';
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@@ -280,8 +282,23 @@ export default function FlowScreen() {
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setMessages(prev => [...prev, userMsg]);
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try {
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// Call AI proxy with selected role's system prompt
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const aiResponse = await aiService.sendMessage(userMessage, token, selectedRole?.systemPrompt || '');
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// 1. Convert current messages history to LangChain format
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const history: (HumanMessage | LangChainAIMessage | SystemMessage)[] = messages.map(msg => {
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if (msg.role === 'user') return new HumanMessage(msg.content);
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return new LangChainAIMessage(msg.content);
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});
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// 2. Add system prompt
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const systemPrompt = new SystemMessage(selectedRole?.systemPrompt || '');
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// 3. Add current new message
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const currentMsg = new HumanMessage(userMessage);
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// 4. Combine all messages for LangGraph processing
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const fullMessages = [systemPrompt, ...history, currentMsg];
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// 5. Execute via LangGraph service (handles token limits and context)
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const aiResponse = await langGraphService.execute(fullMessages, token);
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// Add AI response
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const aiMsg: ChatMessage = {
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