/**
* Client-side handler for AI instructions
* This code runs in the Claude client, not the MCP server
*/
// Example of how Claude would handle AI instructions
export async function handleAiInstruction(instruction) {
if (instruction.type !== 'ai-instruction') {
return instruction; // Not an AI instruction, return as-is
}
switch (instruction.action) {
case 'generate-agent-response': {
const { agentContext, requestType, context, instructions } = instruction;
// Claude generates the response based on the instruction
const prompt = instructions[requestType];
// This is where Claude's AI capabilities come in
// In practice, Claude would generate this response
const aiResponse = await generateAiResponse(prompt);
// Format the response based on request type
if (requestType === 'decision') {
const isYes = aiResponse.toUpperCase().startsWith('YES');
const reasoning = aiResponse.replace(/^(YES|NO)\s*/i, '').trim();
return {
type: requestType,
content: isYes ? 'YES' : 'NO',
reasoning,
agentContext
};
}
return {
type: requestType,
content: aiResponse,
agentContext
};
}
case 'analyze-broadcast': {
const { message, fromAgent, options } = instruction;
// Claude analyzes the broadcast
const analysis = await analyzeMessage(message, fromAgent, options);
return {
priority: analysis.priority || 'normal',
enhancedMessage: analysis.enhancedMessage || message,
reasoning: analysis.reasoning
};
}
default:
throw new Error(`Unknown AI instruction action: ${instruction.action}`);
}
}
// Placeholder for actual AI generation (Claude would do this)
async function generateAiResponse(prompt) {
// In reality, Claude processes the prompt
return "AI-generated response based on prompt";
}
async function analyzeMessage(message, fromAgent, options) {
// Claude analyzes the message
return {
priority: 'high',
reasoning: 'Message contains urgent keywords'
};
}
