import type { OptimizePromptArgs, OptimizationResult } from './types.js';
export class PromptOptimizer {
private readonly metaTemplate = `You are an expert prompt engineer. Your task is to transform the following basic prompt into a comprehensive, well-structured prompt that will produce high-quality results.
**Original Prompt**: "{{ORIGINAL_PROMPT}}"
**Optimization Guidelines**:
1. **Clarify Intent and Scope**
- Identify the core objective
- Make implicit requirements explicit
- Add any missing context or constraints
- Specify expected deliverables
2. **Add Structure and Organization**
- Break complex requests into clear sections or steps
- Use headings and bullet points for clarity
- Specify the desired output format
- Add logical flow and progression
3. **Enhance with Reasoning Elements**
- Include instructions for step-by-step thinking
- Add validation or verification steps
- Request explanations for key decisions
- Incorporate error handling where relevant
4. **Provide Context and Examples**
- Add relevant background information
- Include example inputs/outputs if helpful
- Specify edge cases to consider
- Define any technical terms or requirements
5. **Set Quality Standards**
- Define success criteria
- Specify any constraints or limitations
- Add performance or quality requirements
- Include testing or validation steps
**Instructions**:
Transform the original prompt by applying ALL relevant optimization guidelines above. Create a prompt that is:
- Clear and unambiguous
- Comprehensive yet concise
- Structured for easy understanding
- Actionable with specific requirements
**IMPORTANT**: Return ONLY the optimized prompt itself, without any explanations, meta-commentary, or markdown code blocks. The response should be the exact prompt text that will be used.`;
async optimizePrompt(args: OptimizePromptArgs): Promise<OptimizationResult> {
// First turn: User provides original prompt
if (args.originalPrompt && !args.optimizedPrompt) {
const metaPrompt = this.metaTemplate.replace('{{ORIGINAL_PROMPT}}', args.originalPrompt);
return {
content: metaPrompt,
isComplete: false,
type: 'meta-template'
};
}
// Second turn: LLM provides optimized prompt
if (args.optimizedPrompt) {
return {
content: args.optimizedPrompt,
isComplete: true,
type: 'optimized-prompt'
};
}
// Invalid state
return {
content: 'Please provide either an originalPrompt to optimize or an optimizedPrompt to use.',
isComplete: true,
type: 'meta-template'
};
}
}
