Managing Conversations

// Multi-turn conversation handler
async function handleConversation(sessionId, userMessage) {
  // Send message and get response
  const response = await sendMessage({
    chatSessionId: sessionId,
    content: userMessage,
    role: 'USER'
  });
  
  const { userMessage: savedUser, aiMessage } = response;
  
  // The AI automatically has access to:
  // - Recent conversation history (context)
  // - Persona system prompt and configuration
  // - Enabled tools (if useAgent is true)
  // - Knowledge base content (if configured)
    
    return {
    userMessage: savedUser,
    aiResponse: aiMessage.content,
    // Check if the AI used any tools
    toolsUsed: aiMessage.metadata?.toolCalls || []
  };
}

// Usage in a conversation loop
async function runConversation(personaId) {
  const session = await createSession({ personaId });
  
  // First turn
  const turn1 = await handleConversation(
    session.id, 
    "I need help with API authentication"
  );
  console.log('AI:', turn1.aiResponse);
  
  // Second turn (AI has context from turn 1)
  const turn2 = await handleConversation(
    session.id,
    "I'm using the X-API-Key header"
  );
  console.log('AI:', turn2.aiResponse);
  
  // Continue conversation...
}

// Read file and convert to base64
const fs = require('fs');
const fileBuffer = fs.readFileSync('document.pdf');
const base64Content = fileBuffer.toString('base64');

// Send message with attachment
const response = await fetch('/api/trpc/chat.sendMessage', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': apiKey,
    'X-Organization-ID': orgId,
  },
  body: JSON.stringify({
    json: {
      chatSessionId: sessionId,
      content: 'Please summarize the key points from this document',
      role: 'USER',
      attachments: [{
        filename: 'document.pdf',
        mimeType: 'application/pdf',
        content: base64Content,
        size: fileBuffer.length
      }]
    }
  })
});