feat: add len variable for tier conditions and LLM prompt helper
This commit is contained in:
@@ -21,7 +21,7 @@ import React from 'react';
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import { Avatar, Tag, Table, Typography } from '@douyinfe/semi-ui';
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import { IconPriceTag } from '@douyinfe/semi-icons';
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import { parseTiersFromExpr, getCurrencyConfig } from '../../../../../helpers';
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import { BILLING_VARS } from '../../../../../constants';
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import { BILLING_PRICING_VARS } from '../../../../../constants';
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import {
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splitBillingExprAndRequestRules,
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tryParseRequestRuleExpr,
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@@ -113,7 +113,7 @@ export default function DynamicPricingBreakdown({ billingExpr, t }) {
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);
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}
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const priceFields = BILLING_VARS.map((v) => [v.field, v.shortLabel]);
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const priceFields = BILLING_PRICING_VARS.map((v) => [v.field, v.shortLabel]);
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const tierColumns = [
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{
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+12
-5
@@ -13,6 +13,7 @@
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export const BILLING_VARS = [
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{ key: 'p', field: 'inputPrice', tierField: 'input_unit_cost', label: '输入价格', shortLabel: '输入', side: 'input', isBase: true },
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{ key: 'c', field: 'outputPrice', tierField: 'output_unit_cost', label: '补全价格', shortLabel: '补全', side: 'output', isBase: true },
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{ key: 'len', field: null, tierField: null, label: '输入长度', shortLabel: '长度', side: 'condition', isConditionOnly: true },
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{ key: 'cr', field: 'cacheReadPrice', tierField: 'cache_read_unit_cost', label: '缓存读取价格', shortLabel: '缓存读', side: 'input', group: 'cache' },
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{ key: 'cc', field: 'cacheCreatePrice', tierField: 'cache_create_unit_cost', label: '缓存创建价格', shortLabel: '缓存创建', side: 'input', group: 'cache' },
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{ key: 'cc1h', field: 'cacheCreate1hPrice', tierField: 'cache_create_1h_unit_cost', label: '1h缓存创建价格', shortLabel: '1h缓存创建', side: 'input', group: 'cache' },
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@@ -24,18 +25,20 @@ export const BILLING_VARS = [
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export const BILLING_VAR_KEYS = BILLING_VARS.map((v) => v.key);
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export const BILLING_EXTRA_VARS = BILLING_VARS.filter((v) => !v.isBase);
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export const BILLING_PRICING_VARS = BILLING_VARS.filter((v) => !v.isConditionOnly);
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export const BILLING_EXTRA_VARS = BILLING_VARS.filter((v) => !v.isBase && !v.isConditionOnly);
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export const BILLING_VAR_KEY_TO_FIELD = Object.fromEntries(
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BILLING_VARS.map((v) => [v.key, v.field]),
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BILLING_PRICING_VARS.map((v) => [v.key, v.field]),
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);
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export const BILLING_VAR_FIELD_TO_LABEL = Object.fromEntries(
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BILLING_VARS.map((v) => [v.field, v.label]),
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BILLING_PRICING_VARS.map((v) => [v.field, v.label]),
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);
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export const BILLING_VAR_FIELD_TO_SHORT_LABEL = Object.fromEntries(
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BILLING_VARS.map((v) => [v.field, v.shortLabel]),
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BILLING_PRICING_VARS.map((v) => [v.field, v.shortLabel]),
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);
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export const BILLING_CACHE_VAR_MAP = BILLING_EXTRA_VARS.map((v) => ({
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@@ -44,6 +47,10 @@ export const BILLING_CACHE_VAR_MAP = BILLING_EXTRA_VARS.map((v) => ({
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}));
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export const BILLING_VAR_REGEX = new RegExp(
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`\\b(${BILLING_VAR_KEYS.join('|')})\\s*\\*\\s*([\\d.eE+-]+)`,
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`\\b(${BILLING_PRICING_VARS.map((v) => v.key).join('|')})\\s*\\*\\s*([\\d.eE+-]+)`,
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'g',
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);
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export const BILLING_CONDITION_VARS = BILLING_VARS.filter(
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(v) => v.isBase || v.isConditionOnly,
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).map((v) => v.key);
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Vendored
+5
-5
@@ -22,7 +22,7 @@ import { Modal, Tag, Typography, Avatar } from '@douyinfe/semi-ui';
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import { copy, showSuccess } from './utils';
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import { MOBILE_BREAKPOINT } from '../hooks/common/useIsMobile';
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import {
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BILLING_VARS,
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BILLING_PRICING_VARS,
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BILLING_VAR_KEY_TO_FIELD,
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BILLING_VAR_REGEX,
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} from '../constants';
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@@ -2246,7 +2246,7 @@ export function parseTiersFromExpr(exprStr) {
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if (!exprStr) return [];
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try {
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const { body } = stripExprVersion(exprStr);
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const condGroup = `((?:(?:p|c)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)(?:\\s*&&\\s*(?:p|c)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)*)`;
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const condGroup = `((?:(?:p|c|len)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)(?:\\s*&&\\s*(?:p|c|len)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)*)`;
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const tierRe = new RegExp(`(?:${condGroup}\\s*\\?\\s*)?tier\\("([^"]*)",\\s*([^)]+)\\)`, 'g');
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const tiers = [];
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let m;
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@@ -2255,7 +2255,7 @@ export function parseTiersFromExpr(exprStr) {
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const conditions = [];
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if (condStr) {
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for (const cp of condStr.split(/\s*&&\s*/)) {
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const cm = cp.trim().match(/^(p|c)\s*(<|<=|>|>=)\s*([\d.eE+]+)$/);
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const cm = cp.trim().match(/^(p|c|len)\s*(<|<=|>|>=)\s*([\d.eE+]+)$/);
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if (cm) conditions.push({ var: cm[1], op: cm[2], value: Number(cm[3]) });
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}
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}
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@@ -2293,7 +2293,7 @@ export function renderTieredModelPrice(opts) {
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const { symbol, rate } = getCurrencyConfig();
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const gr = groupRatio || 1;
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const priceLines = BILLING_VARS.map((v) => [v.field, v.label]);
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const priceLines = BILLING_PRICING_VARS.map((v) => [v.field, v.label]);
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const lines = [
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buildBillingText('命中档位:{{tier}}', { tier: matchedTier || tier.label }),
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@@ -2334,7 +2334,7 @@ export function renderTieredModelPriceSimple(opts) {
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];
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if (tier && isPriceDisplayMode(displayMode)) {
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const priceSegments = BILLING_VARS.map((v) => [v.field, v.shortLabel]);
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const priceSegments = BILLING_PRICING_VARS.map((v) => [v.field, v.shortLabel]);
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for (const [field, label] of priceSegments) {
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if (tier[field] > 0) {
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segments.push({
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Vendored
+2
-2
@@ -18,7 +18,7 @@ For commercial licensing, please contact support@quantumnous.com
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*/
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import { Toast, Pagination } from '@douyinfe/semi-ui';
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import { toastConstants, BILLING_VARS, BILLING_VAR_REGEX } from '../constants';
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import { toastConstants, BILLING_PRICING_VARS, BILLING_VAR_REGEX } from '../constants';
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import React from 'react';
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import { toast } from 'react-toastify';
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import {
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@@ -927,7 +927,7 @@ export const formatDynamicPriceSummary = (billingExpr, t, groupRatio = 1) => {
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}
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const hasCoeffs = 'p' in varCoeffs || 'c' in varCoeffs;
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const varLabels = BILLING_VARS.map((v) => [v.key, v.label]);
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const varLabels = BILLING_PRICING_VARS.map((v) => [v.key, v.label]);
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const hasTimeCondition = /\b(?:hour|minute|weekday|month|day)\(/.test(exprBody);
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const hasRequestCondition = /\b(?:param|header)\(/.test(exprBody);
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@@ -31,9 +31,10 @@ import {
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TextArea,
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Typography,
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} from '@douyinfe/semi-ui';
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import { IconDelete, IconPlus } from '@douyinfe/semi-icons';
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import { IconCopy, IconDelete, IconPlus } from '@douyinfe/semi-icons';
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import { renderQuota } from '../../../../helpers/render';
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import { BILLING_EXTRA_VARS, BILLING_CACHE_VAR_MAP } from '../../../../constants';
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import { copy, showSuccess } from '../../../../helpers';
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import { BILLING_EXTRA_VARS, BILLING_CACHE_VAR_MAP, BILLING_CONDITION_VARS } from '../../../../constants';
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import {
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createEmptyCondition,
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createEmptyTimeCondition,
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@@ -70,6 +71,7 @@ function priceToUnitCost(price) {
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const OPS = ['<', '<=', '>', '>='];
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const VAR_OPTIONS = [
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{ value: 'len', label: 'len (长度)' },
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{ value: 'p', label: 'p (输入)' },
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{ value: 'c', label: 'c (输出)' },
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];
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@@ -224,7 +226,7 @@ function tryParseVisualConfig(exprStr) {
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}
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// Multi-tier: cond1 ? tier(body) : cond2 ? tier(body) : tier(body)
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const condGroup = `((?:(?:p|c)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)(?:\\s*&&\\s*(?:p|c)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)*)`;
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const condGroup = `((?:(?:p|c|len)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)(?:\\s*&&\\s*(?:p|c|len)\\s*(?:<|<=|>|>=)\\s*[\\d.eE+]+)*)`;
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const tierRe = new RegExp(
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`(?:${condGroup}\\s*\\?\\s*)?tier\\("([^"]*)",\\s*${bodyPat}\\)`,
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'g',
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@@ -237,7 +239,7 @@ function tryParseVisualConfig(exprStr) {
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if (condStr) {
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const condParts = condStr.split(/\s*&&\s*/);
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for (const cp of condParts) {
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const cm = cp.trim().match(/^(p|c)\s*(<|<=|>|>=)\s*([\d.eE+]+)$/);
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const cm = cp.trim().match(/^(p|c|len)\s*(<|<=|>|>=)\s*([\d.eE+]+)$/);
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if (cm) {
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conditions.push({ var: cm[1], op: cm[2], value: Number(cm[3]) });
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}
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@@ -283,7 +285,7 @@ function ConditionRow({ cond, onChange, onRemove, t }) {
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}}>
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<Select
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size='small'
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value={cond.var || 'p'}
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value={cond.var || 'len'}
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onChange={(val) => onChange({ ...cond, var: val })}
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>
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{VAR_OPTIONS.map((v) => (
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@@ -500,7 +502,7 @@ function ExtendedPriceBlock({ tier, index, onUpdate, t }) {
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function VisualTierCard({ tier, index, isLast, isOnly, onUpdate, onRemove, t }) {
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const conditions = tier.conditions || [];
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const varLabel = { p: t('输入'), c: t('输出') };
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const varLabel = { len: t('长度'), p: t('输入'), c: t('输出') };
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const condSummary = useMemo(() => {
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if (conditions.length === 0) return t('无条件(兜底档)');
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return conditions
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@@ -525,7 +527,7 @@ function VisualTierCard({ tier, index, isLast, isOnly, onUpdate, onRemove, t })
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const addCondition = () => {
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if (conditions.length >= 2) return;
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const usedVars = conditions.map((c) => c.var);
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const nextVar = usedVars.includes('p') ? 'c' : 'p';
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const nextVar = usedVars.includes('len') ? 'c' : 'len';
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onUpdate(index, 'conditions', [
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...conditions,
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{ var: nextVar, op: '<', value: 200000 },
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@@ -694,7 +696,7 @@ function VisualEditor({ visualConfig, onChange, t }) {
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) {
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newTiers[newTiers.length - 1] = {
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...newTiers[newTiers.length - 1],
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conditions: [{ var: 'p', op: '<', value: 200000 }],
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conditions: [{ var: 'len', op: '<', value: 200000 }],
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};
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}
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newTiers.push({
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@@ -723,7 +725,7 @@ function VisualEditor({ visualConfig, onChange, t }) {
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<div>
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<Banner
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type='info'
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description={t('每个档位可设置 0~2 个条件(对 p 和 c),最后一档为兜底档无需条件。')}
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description={t('每个档位可设置 0~2 个条件(对 len、p 和 c),最后一档为兜底档无需条件。len 为输入上下文总长度(含缓存),推荐用于阶梯条件。')}
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style={{ marginBottom: 12 }}
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/>
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@@ -762,16 +764,16 @@ const PRESET_GROUPS = [
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presets: [
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{ key: 'flat', label: 'Flat', expr: 'tier("base", p * 2 + c * 4)' },
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{ key: 'claude-opus', label: 'Claude Opus 4.6', expr: 'tier("base", p * 5 + c * 25 + cr * 0.5 + cc * 6.25 + cc1h * 10)' },
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{ key: 'gpt-5.4', label: 'GPT-5.4', expr: 'p <= 272000 ? tier("standard", p * 2.5 + c * 15 + cr * 0.25) : tier("long_context", p * 5 + c * 22.5 + cr * 0.5)' },
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{ key: 'gpt-5.4', label: 'GPT-5.4', expr: 'len <= 272000 ? tier("standard", p * 2.5 + c * 15 + cr * 0.25) : tier("long_context", p * 5 + c * 22.5 + cr * 0.5)' },
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],
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},
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{
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group: '阶梯计费',
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presets: [
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{ key: 'claude-sonnet', label: 'Claude Sonnet 4.5', expr: 'p <= 200000 ? tier("standard", p * 3 + c * 15 + cr * 0.3 + cc * 3.75 + cc1h * 6) : tier("long_context", p * 6 + c * 22.5 + cr * 0.6 + cc * 7.5 + cc1h * 12)' },
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{ key: 'qwen3-max', label: 'Qwen3 Max', expr: 'p <= 32000 ? tier("short", p * 1.2 + c * 6 + cr * 0.24 + cc * 1.5) : p <= 128000 ? tier("mid", p * 2.4 + c * 12 + cr * 0.48 + cc * 3) : tier("long", p * 3 + c * 15 + cr * 0.6 + cc * 3.75)' },
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{ key: 'glm-4.5-air', label: 'GLM-4.5 Air', expr: 'p < 32000 && c < 200 ? tier("short_output", p * 0.8 + c * 2 + cr * 0.16) : p < 32000 && c >= 200 ? tier("long_output", p * 0.8 + c * 6 + cr * 0.16) : tier("mid_context", p * 1.2 + c * 8 + cr * 0.24)' },
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{ key: 'doubao-seed-1.8', label: 'Doubao Seed 1.8', expr: 'p <= 32000 && c <= 200 ? tier("discount", p * 0.8 + c * 2 + cr * 0.16 + cc * 0.17) : p <= 32000 ? tier("short", p * 0.8 + c * 8 + cr * 0.16 + cc * 0.17) : p <= 128000 ? tier("mid", p * 1.2 + c * 16 + cr * 0.16 + cc * 0.17) : tier("long", p * 2.4 + c * 24 + cr * 0.16 + cc * 0.17)' },
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{ key: 'claude-sonnet', label: 'Claude Sonnet 4.5', expr: 'len <= 200000 ? tier("standard", p * 3 + c * 15 + cr * 0.3 + cc * 3.75 + cc1h * 6) : tier("long_context", p * 6 + c * 22.5 + cr * 0.6 + cc * 7.5 + cc1h * 12)' },
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{ key: 'qwen3-max', label: 'Qwen3 Max', expr: 'len <= 32000 ? tier("short", p * 1.2 + c * 6 + cr * 0.24 + cc * 1.5) : len <= 128000 ? tier("mid", p * 2.4 + c * 12 + cr * 0.48 + cc * 3) : tier("long", p * 3 + c * 15 + cr * 0.6 + cc * 3.75)' },
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{ key: 'glm-4.5-air', label: 'GLM-4.5 Air', expr: 'len < 32000 && c < 200 ? tier("short_output", p * 0.8 + c * 2 + cr * 0.16) : len < 32000 && c >= 200 ? tier("long_output", p * 0.8 + c * 6 + cr * 0.16) : tier("mid_context", p * 1.2 + c * 8 + cr * 0.24)' },
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{ key: 'doubao-seed-1.8', label: 'Doubao Seed 1.8', expr: 'len <= 32000 && c <= 200 ? tier("discount", p * 0.8 + c * 2 + cr * 0.16 + cc * 0.17) : len <= 32000 ? tier("short", p * 0.8 + c * 8 + cr * 0.16 + cc * 0.17) : len <= 128000 ? tier("mid", p * 1.2 + c * 16 + cr * 0.16 + cc * 0.17) : tier("long", p * 2.4 + c * 24 + cr * 0.16 + cc * 0.17)' },
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],
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},
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{
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@@ -793,7 +795,7 @@ const PRESET_GROUPS = [
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},
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{
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key: 'gpt-5.4-tiers', label: 'GPT-5.4 Priority/Flex',
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expr: 'p <= 272000 ? tier("standard", p * 2.5 + c * 15 + cr * 0.25) : tier("long_context", p * 5 + c * 22.5 + cr * 0.5)',
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expr: 'len <= 272000 ? tier("standard", p * 2.5 + c * 15 + cr * 0.25) : tier("long_context", p * 5 + c * 22.5 + cr * 0.5)',
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requestRules: [
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{ conditions: [{ source: SOURCE_PARAM, path: 'service_tier', mode: MATCH_EQ, value: 'priority' }], multiplier: '2' },
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{ conditions: [{ source: SOURCE_PARAM, path: 'service_tier', mode: MATCH_EQ, value: 'flex' }], multiplier: '0.5' },
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@@ -880,7 +882,8 @@ function RawExprEditor({ exprString, onChange, t }) {
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<div>
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<div>
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{t('变量')}: <code>p</code> ({t('输入 Token')}), <code>c</code> (
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{t('输出 Token')}), <code>cr</code> ({t('缓存读取')}),{' '}
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{t('输出 Token')}), <code>len</code> ({t('输入长度')}),{' '}
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<code>cr</code> ({t('缓存读取')}),{' '}
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<code>cc</code> ({t('缓存创建')}),{' '}
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<code>cc1h</code> ({t('缓存创建-1小时')})
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</div>
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@@ -968,7 +971,11 @@ function evalExprLocally(exprStr, p, c, extraTokenValues) {
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matchedTier = name;
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return value;
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};
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const env = { p, c, tier: tierFn, max: Math.max, min: Math.min, abs: Math.abs, ceil: Math.ceil, floor: Math.floor };
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const cacheReadTokens = extraTokenValues.cacheReadTokens || 0;
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const cacheCreateTokens = extraTokenValues.cacheCreateTokens || 0;
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const cacheCreate1hTokens = extraTokenValues.cacheCreate1hTokens || 0;
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const len = p + cacheReadTokens + cacheCreateTokens + cacheCreate1hTokens;
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const env = { p, c, len, tier: tierFn, max: Math.max, min: Math.min, abs: Math.abs, ceil: Math.ceil, floor: Math.floor };
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for (const field of EXTRA_ESTIMATOR_FIELDS) {
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env[field.var] = extraTokenValues[field.stateKey] || 0;
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}
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@@ -1220,6 +1227,146 @@ function RuleGroupCard({ group, index, onChange, onRemove, t }) {
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);
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}
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// ---------------------------------------------------------------------------
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// LLM prompt helper — copyable prompt for LLM-assisted expression design
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// ---------------------------------------------------------------------------
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const LLM_PROMPT_TEMPLATE = `你是一个 AI API 计费表达式设计助手。用户需要你帮忙设计一个计费表达式(billing expression),用于 AI API 网关的模型计费。
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## 表达式语言
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表达式基于 expr-lang/expr,支持标准算术运算和三元运算符。
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### Token 变量
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输入侧:
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- p — 输入 token 数(计价用)。系统会自动排除表达式中单独计价的子类别(如用了 cr,缓存 token 就从 p 中扣除)
|
||||
- len — 输入上下文总长度(条件判断用)。不受自动排除影响,始终反映完整输入长度。用于阶梯条件判断
|
||||
- cr — 缓存命中(读取)token 数
|
||||
- cc — 缓存创建 token 数(5分钟 TTL)
|
||||
- cc1h — 缓存创建 token 数(1小时 TTL,Claude 专用)
|
||||
- img — 图片输入 token 数
|
||||
- ai — 音频输入 token 数
|
||||
|
||||
输出侧:
|
||||
- c — 输出 token 数。同样会自动排除单独计价的子类别
|
||||
- img_o — 图片输出 token 数
|
||||
- ao — 音频输出 token 数
|
||||
|
||||
### p/c 自动排除机制
|
||||
|
||||
p 和 c 是兜底变量,代表所有没有被表达式单独定价的 token。如果表达式使用了某个子类别变量(如 cr),对应 token 就从 p 中扣除,避免重复计费。没用到的子类别 token 则留在 p/c 中按基础价格计费。
|
||||
|
||||
重要:len 不受自动排除影响。阶梯条件应使用 len 而非 p,以避免缓存命中导致 p 降低而误判档位。
|
||||
|
||||
### 内置函数
|
||||
|
||||
- tier(name, value) — 标记计费档位名称,必须包裹费用表达式
|
||||
- max(a, b)、min(a, b) — 取大/小值
|
||||
- ceil(x)、floor(x)、abs(x) — 向上取整、向下取整、绝对值
|
||||
- header(name) — 读取请求头
|
||||
- param(path) — 读取请求体 JSON 路径(gjson 语法)
|
||||
- has(source, substr) — 子字符串检查
|
||||
- hour(tz)、minute(tz)、weekday(tz)、month(tz)、day(tz) — 时间函数,tz 为时区如 "Asia/Shanghai"
|
||||
|
||||
### 价格系数
|
||||
|
||||
表达式中的数字系数是 $/1M tokens 的价格。例如 p * 2.5 表示输入 $2.50/1M tokens。
|
||||
|
||||
## 表达式示例
|
||||
|
||||
简单定价:
|
||||
tier("base", p * 2.5 + c * 15)
|
||||
|
||||
带缓存的定价:
|
||||
tier("base", p * 2.5 + c * 15 + cr * 0.25)
|
||||
|
||||
多档阶梯(用 len 做条件):
|
||||
len <= 200000
|
||||
? tier("standard", p * 3 + c * 15 + cr * 0.3 + cc * 3.75 + cc1h * 6)
|
||||
: tier("long_context", p * 6 + c * 22.5 + cr * 0.6 + cc * 7.5 + cc1h * 12)
|
||||
|
||||
图片模型:
|
||||
tier("base", p * 2 + c * 8 + img * 2.5)
|
||||
|
||||
多模态含音频:
|
||||
tier("base", p * 0.43 + c * 3.06 + img * 0.78 + ai * 3.81 + ao * 15.11)
|
||||
|
||||
三档阶梯示例:
|
||||
len <= 128000
|
||||
? tier("standard", p * 1.1 + c * 4.4)
|
||||
: (len <= 1000000
|
||||
? tier("medium", p * 2.2 + c * 8.8)
|
||||
: tier("long", p * 4.4 + c * 17.6))
|
||||
|
||||
## 规则
|
||||
|
||||
1. 每个叶子分支必须用 tier("名称", 费用表达式) 包裹
|
||||
2. tier 名称用英文,如 "base"、"standard"、"long_context"
|
||||
3. 阶梯条件用 len(不要用 p),支持 <、<=、>、>=
|
||||
4. 多档用嵌套三元运算符:条件1 ? tier(...) : (条件2 ? tier(...) : tier(...))
|
||||
5. 价格系数直接写供应商官方 $/1M tokens 价格
|
||||
6. 不需要缓存/图片/音频单独定价时可以不写对应变量,它们的 token 会自动包含在 p/c 中
|
||||
|
||||
请根据用户提供的模型信息和定价需求,生成计费表达式。`;
|
||||
|
||||
function LlmPromptHelper({ t, model }) {
|
||||
const [open, setOpen] = useState(false);
|
||||
|
||||
const modelName = model?.name || '';
|
||||
const prompt = useMemo(() => {
|
||||
if (modelName) {
|
||||
return LLM_PROMPT_TEMPLATE + `\n\n当前模型:${modelName}`;
|
||||
}
|
||||
return LLM_PROMPT_TEMPLATE;
|
||||
}, [modelName]);
|
||||
|
||||
const handleCopy = useCallback(async () => {
|
||||
const ok = await copy(prompt);
|
||||
if (ok) showSuccess(t('已复制到剪贴板'));
|
||||
}, [prompt, t]);
|
||||
|
||||
return (
|
||||
<div style={{ marginBottom: 12 }}>
|
||||
<Button
|
||||
theme='borderless'
|
||||
size='small'
|
||||
icon={<IconCopy />}
|
||||
onClick={() => setOpen(!open)}
|
||||
style={{ color: 'var(--semi-color-tertiary)' }}
|
||||
>
|
||||
{t('LLM 辅助设计提示词')}
|
||||
</Button>
|
||||
<Collapsible isOpen={open}>
|
||||
<Card
|
||||
bodyStyle={{ padding: 12 }}
|
||||
style={{ marginTop: 8, background: 'var(--semi-color-fill-0)' }}
|
||||
>
|
||||
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: 8 }}>
|
||||
<Text size='small' type='secondary'>
|
||||
{t('复制以下提示词发送给 LLM(如 ChatGPT / Claude),让它帮你设计计费表达式')}
|
||||
</Text>
|
||||
<Button
|
||||
icon={<IconCopy />}
|
||||
size='small'
|
||||
theme='light'
|
||||
onClick={handleCopy}
|
||||
>
|
||||
{t('复制提示词')}
|
||||
</Button>
|
||||
</div>
|
||||
<TextArea
|
||||
value={prompt}
|
||||
readonly
|
||||
autosize={{ minRows: 6, maxRows: 20 }}
|
||||
style={{ fontFamily: 'monospace', fontSize: 12 }}
|
||||
/>
|
||||
</Card>
|
||||
</Collapsible>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Main component
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -1543,6 +1690,8 @@ export default function TieredPricingEditor({ model, onExprChange, requestRuleEx
|
||||
</div>
|
||||
</Card>
|
||||
|
||||
<LlmPromptHelper t={t} model={model} />
|
||||
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user