generate_meta_prompt

Create structured meta-prompts for AI tasks by analyzing requirements and selecting appropriate reasoning frameworks to improve response quality.

Instructions

Generate an optimized meta-prompt for the given task.

Analyzes the task, selects the best reasoning framework (or uses the specified one), and generates a structured prompt designed to elicit high-quality reasoning.

Input Schema

TableJSON Schema

Name	Required	Description
`task`	Yes	The task or question to create a prompt for
`context`	No	Additional context to include in the prompt
`framework`	No	Specific framework to use (optional, auto-selects if not provided)
`persist`	No	Whether to log this generation for analytics

Implementation Reference

src/promptcore/main.py:89-137 (handler)

The function 'generate_meta_prompt' acts as the primary handler for the MCP tool, orchestrating task analysis, meta-prompt construction, and optional persistence.

def generate_meta_prompt(
    task: Annotated[str, "The task or question to create a prompt for"],
    context: Annotated[str, "Additional context to include in the prompt"] = "",
    framework: Annotated[Optional[str], "Specific framework to use (optional, auto-selects if not provided)"] = None,
    persist: Annotated[bool, "Whether to log this generation for analytics"] = True,
) -> dict:
    """
    Generate an optimized meta-prompt for the given task.
    
    Analyzes the task, selects the best reasoning framework (or uses the specified one),
    and generates a structured prompt designed to elicit high-quality reasoning.
    """
    deps = get_dependencies()
    
    # Analyze task
    analysis = deps.selector.analyze(task, context)
    
    # Build prompt (use override framework if specified)
    result = deps.builder.build(
        task=task,
        context=context,
        framework_name=framework,
        analysis=analysis,
    )
    
    # Persist if requested
    log_id = None
    if persist:
        log_data = ReasoningLogCreate(
            task_input=task,
            context=context if context else None,
            detected_category=analysis.category.value,
            complexity_score=analysis.complexity_score,
            selected_framework=result.framework_used,
            meta_prompt_generated=result.meta_prompt,
        )
        log = deps.storage.create_log(log_data)
        log_id = str(log.id)
    
    return {
        "task_id": log_id,
        "framework_used": result.framework_used,
        "analysis": {
            "category": analysis.category.value,
            "complexity_score": analysis.complexity_score,
            "complexity_level": analysis.complexity_level.value,
        },
        "meta_prompt": result.meta_prompt,
    }

src/promptcore/main.py:88-88 (registration)
Tool registration using the '@mcp.tool()' decorator within the 'FastMCP' server instance.
```
@mcp.tool()
```

PromptSmith