Function applyPromptToMarkdown

src/tools/WebFetchTool/utils.ts:511–557

(
  prompt: string,
  markdownContent: string,
  signal: AbortSignal,
  isNonInteractiveSession: boolean,
  isPreapprovedDomain: boolean,
)

}

export async function applyPromptToMarkdown(
  prompt: string,
  markdownContent: string,
  signal: AbortSignal,
  isNonInteractiveSession: boolean,
  isPreapprovedDomain: boolean,
): Promise<string> {
  // Truncate content to avoid "Prompt is too long" errors from the secondary model
  const truncatedContent =
    markdownContent.length > MAX_MARKDOWN_LENGTH
      ? markdownContent.slice(0, MAX_MARKDOWN_LENGTH) +
        '\n\n[Content truncated due to length...]'
      : markdownContent

  const modelPrompt = makeSecondaryModelPrompt(
    truncatedContent,
    prompt,
    isPreapprovedDomain,
  )
  const assistantMessage = await queryHaiku({
    systemPrompt: asSystemPrompt([]),
    userPrompt: modelPrompt,
    signal,
    options: {
      querySource: 'web_fetch_apply',
      agents: [],
      isNonInteractiveSession,
      hasAppendSystemPrompt: false,
      mcpTools: [],
    },
  })

  // We need to bubble this up, so that the tool call throws, causing us to return
  // an is_error tool_use block to the server, and render a red dot in the UI.
  if (signal.aborted) {
    throw new AbortError()
  }

  const { content } = assistantMessage.message
  if (content.length > 0) {
    const contentBlock = content[0]
    if ('text' in contentBlock!) {
      return contentBlock.text
    }
  }
  return 'No response from model'
}