renderPromptBase function exported ✓ 100.0%

Last updated: 2026-03-01T23:25:47.071Z

Location

src/lib/ai/prompts/prompt-renderer.ts:65-89

Metrics

LOC: 25 Complexity: 4 Params: 3 Coverage: 100.0% (11/11 lines, 83x executed)

Signature

renderPromptBase( prompt: StructuredPrompt<TInput, TOutput>, ): : string

Summary

Renders the static (non-input) sections of a structured prompt into a single text block optimised for token economy. Sections rendered (in order): role → task → output format → rules → examples. Use this inside buildPrompt() implementations and then append the per-invocation input context.

Source Code

export function renderPromptBase<TInput, TOutput>(
  prompt: StructuredPrompt<TInput, TOutput>,
): string {
  const sections: string[] = [];

  sections.push(prompt.persona);
  sections.push(prompt.task);

  if (prompt.outputSchema?.length) {
    const schema = renderOutputSchema(prompt.outputSchema);
    sections.push(
      `Respond ONLY with a JSON object in this exact format — no other text, no markdown, no explanation:\n${schema}`,
    );
  }

  if (prompt.rules.length) {
    sections.push(`Rules:\n${renderRules(prompt.rules)}`);
  }

  if (prompt.examples?.length) {
    sections.push(`Examples:\n${renderExamples(prompt.examples)}`);
  }

  return sections.join("\n\n");
}

Dependencies (Outgoing)

graph LR renderPromptBase["renderPromptBase"] renderOutputSchema["renderOutputSchema"] renderRules["renderRules"] renderExamples["renderExamples"] renderPromptBase -->|calls| renderOutputSchema renderPromptBase -->|calls| renderRules renderPromptBase -->|calls| renderExamples style renderPromptBase fill:#dbeafe,stroke:#2563eb,stroke-width:2px click renderPromptBase "1d807d7283d93d7a.html" click renderOutputSchema "a94ee40c258cb1af.html" click renderRules "cc97a1fb4ee38109.html" click renderExamples "956dec267f8fa83b.html"

Target	Type
renderOutputSchema	calls
renderRules	calls
renderExamples	calls

Impact (Incoming)

graph LR renderPromptBase["renderPromptBase"] FieldClassifierInput["FieldClassifierInput"] buildPrompt["buildPrompt"] FieldValueInput["FieldValueInput"] renderSystemPrompt["renderSystemPrompt"] ScriptOptimizerInput["ScriptOptimizerInput"] makePrompt["makePrompt"] FieldClassifierInput -->|uses| renderPromptBase buildPrompt -->|calls| renderPromptBase FieldValueInput -->|uses| renderPromptBase buildPrompt -->|calls| renderPromptBase renderSystemPrompt -->|calls| renderPromptBase ScriptOptimizerInput -->|uses| renderPromptBase buildPrompt -->|calls| renderPromptBase makePrompt -->|uses| renderPromptBase style renderPromptBase fill:#dbeafe,stroke:#2563eb,stroke-width:2px click renderPromptBase "1d807d7283d93d7a.html" click FieldClassifierInput "20ede86d2d3727e6.html" click buildPrompt "866645bc66f61421.html" click FieldValueInput "5ea70ce149b7f9cd.html" click renderSystemPrompt "eaffa002075266b5.html" click ScriptOptimizerInput "426c217d515b02d0.html" click makePrompt "ea0597fcfc9fdb16.html"

Source	Type
FieldClassifierInput	uses
buildPrompt	calls
FieldValueInput	uses
buildPrompt	calls
renderSystemPrompt	calls
ScriptOptimizerInput	uses
buildPrompt	calls
makePrompt	uses