AI API

import { AI } from 'lua-cli';

// Quick text generation
const text = await AI.generate('Summarize the latest AI news.');

// Full options with rich result
const result = await AI.generate({
  model: 'google/gemini-2.0-flash',
  system: 'You are concise.',
  prompt: 'What is the weather in London?',
});

import { AI } from 'lua-cli';
// or
import { AI } from 'lua-cli/skill';

// Single argument: prompt is the user message
const text = await AI.generate('Summarize the latest AI news.');

// Two arguments: system instruction + user content
const text2 = await AI.generate(
  'You are a helpful assistant.',
  [{ type: 'text', text: 'What products do you recommend?' }]
);

// Multi-modal content
const analysis = await AI.generate(
  'You are an image analysis expert.',
  [
    { type: 'text', text: 'What do you see?' },
    { type: 'image', url: 'https://example.com/photo.jpg' }
  ]
);

const result = await AI.generate({
  model: 'google/gemini-2.0-flash',
  system: 'You are concise.',
  prompt: 'What is the weather in London?',
  temperature: 0.7,
});

result.text           // Generated text
result.finishReason   // 'stop', 'length', etc.
result.usage          // { promptTokens, completionTokens, totalTokens }
result.sources        // Google Search grounding URLs

[{ type: 'text', text: 'Your message here' }]

[
  { type: 'text', text: 'What do you see in this image?' },
  { type: 'image', url: 'https://example.com/photo.jpg' }
]

[
  { type: 'text', text: 'Summarize this document' },
  { type: 'file', url: 'https://example.com/doc.pdf', mimeType: 'application/pdf' }
]

import { LuaTool, AI, Products } from 'lua-cli/skill';
import { z } from 'zod';

export default class GenerateDescriptionTool implements LuaTool {
  name = 'generate_product_description';
  description = 'Generate compelling product descriptions using AI';
  
  inputSchema = z.object({
    productId: z.string(),
    style: z.enum(['casual', 'professional', 'luxury']).optional()
  });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const product = await Products.getById(input.productId);
    if (!product) {
      return { success: false, error: 'Product not found' };
    }
    
    const style = input.style || 'professional';
    const description = await AI.generate(
      `You are a ${style} copywriter. Create a 2-3 sentence product description.`,
      [{ type: 'text', text: `Product: ${product.name}, Price: $${product.price}` }]
    );
    
    await product.update({ description });
    return { success: true, productId: input.productId, description };
  }
}

import { LuaTool, AI } from 'lua-cli/skill';
import { z } from 'zod';

export default class WeatherSearchTool implements LuaTool {
  name = 'search_weather';
  description = 'Search current weather using AI with Google Search grounding';
  
  inputSchema = z.object({
    location: z.string().describe('City or location')
  });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const result = await AI.generate({
      model: 'google/gemini-2.0-flash',
      system: 'You report current weather conditions concisely.',
      prompt: `What is the current weather in ${input.location}?`,
    });

    return {
      weather: result.text,
      sources: result.sources?.map(s => ({ title: s.title, url: s.url })) ?? [],
      usage: result.usage,
    };
  }
}

import { LuaTool, AI } from 'lua-cli/skill';
import { z } from 'zod';

export default class AnalyzeImageTool implements LuaTool {
  name = 'analyze_image';
  description = 'Analyze images using AI vision';
  
  inputSchema = z.object({
    imageUrl: z.string().url(),
    question: z.string().optional()
  });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const analysis = await AI.generate(
      'You are an image analysis expert. Describe what you see in detail.',
      [
        { type: 'text', text: input.question || 'Describe this image in detail' },
        { type: 'image', url: input.imageUrl }
      ]
    );
    
    return { success: true, imageUrl: input.imageUrl, analysis };
  }
}

import { LuaTool, AI } from 'lua-cli/skill';
import { z } from 'zod';

export default class SummarizeTool implements LuaTool {
  name = 'summarize_content';
  description = 'Summarize long text content';
  
  inputSchema = z.object({
    content: z.string(),
    maxLength: z.enum(['brief', 'medium', 'detailed']).optional()
  });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const instructions = {
      brief: 'in 1-2 sentences',
      medium: 'in 1 paragraph',
      detailed: 'in 2-3 paragraphs with key points'
    };
    const length = input.maxLength || 'medium';
    
    const summary = await AI.generate(
      `You are a professional content summarizer. Create a clear summary ${instructions[length]}.`,
      [{ type: 'text', text: `Summarize:\n\n${input.content}` }]
    );
    
    return { success: true, summary, originalLength: input.content.length };
  }
}

import { LuaTool, AI } from 'lua-cli/skill';
import { z } from 'zod';

export default class TranslateTool implements LuaTool {
  name = 'translate_text';
  description = 'Translate text to different languages';
  
  inputSchema = z.object({
    text: z.string(),
    targetLanguage: z.string(),
    sourceLanguage: z.string().optional()
  });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const translation = await AI.generate(
      `You are a professional translator. Translate accurately to ${input.targetLanguage}. Return ONLY the translated text.`,
      [{ type: 'text', text: input.text }]
    );
    
    return {
      success: true,
      original: input.text,
      translation,
      from: input.sourceLanguage || 'auto-detect',
      to: input.targetLanguage
    };
  }
}

import { LuaTool, AI } from 'lua-cli/skill';
import { z } from 'zod';

export default class SentimentAnalysisTool implements LuaTool {
  name = 'analyze_sentiment';
  description = 'Analyze the sentiment of text';
  
  inputSchema = z.object({ text: z.string() });
  
  async execute(input: z.infer<typeof this.inputSchema>) {
    const analysis = await AI.generate(
      `You are a sentiment analysis expert. Respond with JSON only:
{ "sentiment": "positive|negative|neutral", "score": 0.0-1.0, "summary": "brief explanation" }`,
      [{ type: 'text', text: `Analyze:\n\n"${input.text}"` }]
    );
    
    try {
      return { success: true, ...JSON.parse(analysis), originalText: input.text };
    } catch {
      return { success: false, error: 'Failed to parse', rawResponse: analysis };
    }
  }
}

async execute(input: any) {
  try {
    const response = await AI.generate(context, messages);
    
    if (!response || response.trim().length === 0) {
      return { success: false, error: 'AI returned empty response' };
    }
    
    return { success: true, response };
  } catch (error) {
    return {
      success: false,
      error: error instanceof Error ? error.message : 'AI generation failed'
    };
  }
}