Generation Commands

Commands used to generating images using the Lillo Ai Framework.

Command Usage

/img Command

export const imgCommand: CommandHandler = {
  name: 'img',
  description: 'Generate an image using DALL-E'
};

Usage Examples

/img A cute cat playing with a ball of yarn
/img A futuristic cityscape at sunset
/img An abstract painting of emotions

Parameters

• prompt: Image description (3-1000 characters)

• Optional style enhancements automatically applied

Response

• Processing message

• Generated image

• AI-generated caption

• Error message (if applicable)

Function Calling

Natural Language Triggers

• "Generate an image of..."

• "Create a picture showing..."

• "Show me an illustration of..."

• "Make an image depicting..."

Implementation

case "generate_image":
  return await generateAndSendImage(
    agent,
    chatId,
    prompt,
    messageId,
    userId
  );

Command Handler

Validation

if (!imagePrompt.trim()) {
  return {
    text: "Please provide a prompt!\n\nExample: /img A cute cat playing with a ball of yarn",
    success: false
  };
}

if (imagePrompt.length < 3) {
  return {
    text: "❌ Prompt too short. Please provide a more detailed description.",
    success: false
  };
}

if (imagePrompt.length > 1000) {
  return {
    text: "❌ Prompt too long. Please keep it under 1000 characters.",
    success: false
  };
}

Processing

// Send processing message
const processingMessage = await sendProcessingMessage(
  'image',
  userId,
  chatId,
  agent
);

// Generate image and caption in parallel
const [imageUrl, caption] = await Promise.all([
  generateImage(imagePrompt),
  generateImageCaption(imagePrompt, agent)
]);

Response Handling

// Download image
const imageResponse = await fetch(imageUrl);
const imageBuffer = Buffer.from(await imageResponse.arrayBuffer());

// Send to chat
await sendTelegramPhotoMessage(
  agent,
  chatId,
  imageBuffer,
  caption
);

// Store the post
await storePost({
  type: 'image',
  content: caption,
  timestamp: Math.floor(Date.now() / 1000),
  prompt: imagePrompt,
  imageUrl
});

Error Handling

User Errors

• Empty prompt

• Prompt too short/long

• Content policy violations

• Rate limiting

System Errors

• API failures

• Storage errors

• Network issues

• Buffer handling

Error Messages

return {
  text: error instanceof Error 
    ? error.message 
    : "❌ Failed to generate image. Please try again later.",
  success: false
};

Best Practices

Prompt Writing

• Be specific and detailed

• Avoid prohibited content

• Use clear descriptions

• Consider style elements

Command Usage

• Respect rate limits

• Check error messages

• Verify image generation

• Monitor response time

Function Integration

• Handle all error cases

• Implement timeouts

• Verify storage

• Track metrics

Related Documentation

• Overview - Feature overview

• Models - Technical details