Function roughTokenCountEstimationForBlock

src/services/tokenEstimation.ts:391–435

(
  block: string | Anthropic.ContentBlock | Anthropic.ContentBlockParam,
)

}

function roughTokenCountEstimationForBlock(
  block: string | Anthropic.ContentBlock | Anthropic.ContentBlockParam,
): number {
  if (typeof block === 'string') {
    return roughTokenCountEstimation(block)
  }
  if (block.type === 'text') {
    return roughTokenCountEstimation(block.text)
  }
  if (block.type === 'image' || block.type === 'document') {
    // https://platform.claude.com/docs/en/build-with-claude/vision#calculate-image-costs
    // tokens = (width px * height px)/750
    // Images are resized to max 2000x2000 (5333 tokens). Use a conservative
    // estimate that matches microCompact's IMAGE_MAX_TOKEN_SIZE to avoid
    // underestimating and triggering auto-compact too late.
    //
    // document: base64 PDF in source.data.  Must NOT reach the
    // jsonStringify catch-all — a 1MB PDF is ~1.33M base64 chars →
    // ~325k estimated tokens, vs the ~2000 the API actually charges.
    // Same constant as microCompact's calculateToolResultTokens.
    return 2000
  }
  if (block.type === 'tool_result') {
    return roughTokenCountEstimationForContent(block.content as any)
  }
  if (block.type === 'tool_use') {
    // input is the JSON the model generated — arbitrarily large (bash
    // commands, Edit diffs, file contents).  Stringify once for the
    // char count; the API re-serializes anyway so this is what it sees.
    return roughTokenCountEstimation(
      block.name + jsonStringify(block.input ?? {}),
    )
  }
  if (block.type === 'thinking') {
    return roughTokenCountEstimation(block.thinking)
  }
  if (block.type === 'redacted_thinking') {
    return roughTokenCountEstimation(block.data)
  }
  // server_tool_use, web_search_tool_result, mcp_tool_use, etc. —
  // text-like payloads (tool inputs, search results, no base64).
  // Stringify-length tracks the serialized form the API sees; the
  // key/bracket overhead is single-digit percent on real blocks.
  return roughTokenCountEstimation(jsonStringify(block))
}

async function countTokensWithBedrock({
  model,