feat: 更新场景 B 的工具调用流程，支持代码执行和语言选择
This commit is contained in:
carry
+45
-70
@@ -131,7 +131,7 @@ const demoA: PromptEnvelope = {
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}
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}
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// ============================================================
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// ============================================================
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// Scenario B: Tool call flow (request → result)
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// Scenario B: Tool call flow — code execution (success + failure)
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// ============================================================
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// ============================================================
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const demoB: PromptEnvelope = {
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const demoB: PromptEnvelope = {
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version: '1.0',
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version: '1.0',
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@@ -145,64 +145,48 @@ const demoB: PromptEnvelope = {
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kind: 'static_var',
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kind: 'static_var',
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name: 'current_date',
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name: 'current_date',
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value: '2026年6月7日',
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value: '2026年6月7日',
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description: '当前日期，SQL 查询中用于计算相对日期',
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description: '当前日期',
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},
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},
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{
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{
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kind: 'static_var',
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kind: 'static_var',
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name: 'knowledge_cutoff',
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name: 'language',
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value: '2026年1月',
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value: '中文（简体）',
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description: '模型训练数据的截止时间',
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description: '模型回复的首选语言',
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},
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},
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{
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{
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kind: 'system_prompt',
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kind: 'system_prompt',
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content: `当前日期：{{current_date}}。知识截止：{{knowledge_cutoff}}。
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content: `当前日期：{{current_date}}，回复语言：{{language}}。
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你是一个数据分析助手，可以使用 Python 工具进行数据查询和可视化。`,
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你是一个编程助手，可以帮助用户编写、调试和优化代码。你可以在安全沙箱中执行代码，也可以查阅技术文档。`,
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collapsed: true,
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collapsed: true,
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},
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},
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{
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{
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kind: 'tool_overview',
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kind: 'tool_overview',
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items: [
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items: [
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{
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{
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name: 'run_query',
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name: 'execute_code',
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description: '执行 SQL 查询',
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description: '在安全沙箱中执行代码并返回输出',
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parameters: 'sql: string',
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parameters: 'language: string, code: string',
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schema: {
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schema: {
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type: 'object',
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type: 'object',
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properties: {
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properties: {
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sql: { type: 'string', description: 'SQL 查询语句' },
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language: { type: 'string', enum: ['python', 'javascript', 'typescript'], description: '编程语言' },
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code: { type: 'string', description: '要执行的代码' },
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},
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},
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required: ['sql'],
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required: ['language', 'code'],
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},
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},
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},
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},
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{
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{
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name: 'plot_chart',
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name: 'lookup_api',
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description: '生成图表',
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description: '查阅技术文档和 API 参考',
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parameters: 'type: string, data: object, output_format?: string',
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parameters: 'query: string, source: string',
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schema: {
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schema: {
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type: 'object',
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type: 'object',
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properties: {
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properties: {
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type: { type: 'string', enum: ['line', 'bar', 'scatter'], description: '图表类型' },
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query: { type: 'string', description: 'API 或函数名称' },
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title: { type: 'string', description: '图表标题' },
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source: { type: 'string', enum: ['python', 'mdn', 'react', 'node'], description: '文档来源（必填）' },
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x_label: { type: 'string', description: 'X 轴标签' },
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y_label: { type: 'string', description: 'Y 轴标签' },
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data: { type: 'array', description: '数据点数组' },
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output_format: { type: 'string', enum: ['png', 'svg'], description: '输出格式' },
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},
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},
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required: ['type', 'data', 'output_format'],
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required: ['query', 'source'],
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},
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},
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{
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name: 'fetch_data',
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description: '获取远程数据',
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parameters: 'url: string, format: string',
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schema: {
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type: 'object',
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properties: {
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url: { type: 'string', description: '数据 URL' },
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format: { type: 'string', enum: ['json', 'csv'], description: '数据格式' },
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},
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required: ['url', 'format'],
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},
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},
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},
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},
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],
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],
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@@ -217,7 +201,7 @@ const demoB: PromptEnvelope = {
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segments: [
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segments: [
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{
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{
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kind: 'text',
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kind: 'text',
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content: '帮我看看过去一周的用户注册数据，按天统计，用折线图展示趋势。',
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content: '帮我写一个 Python 函数，统计文本中每个单词的出现频率，然后运行测试一下。',
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},
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},
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],
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],
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timestamp: now - 180000,
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timestamp: now - 180000,
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@@ -228,17 +212,26 @@ const demoB: PromptEnvelope = {
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segments: [
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segments: [
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{
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{
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kind: 'text',
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kind: 'text',
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content: '好的，我先查询数据库获取注册数据。',
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content: '好的，我来写一个词频统计函数并用示例文本测试：',
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},
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},
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{
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{
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kind: 'tool_call_request',
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kind: 'tool_call_request',
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toolName: 'run_query',
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toolName: 'execute_code',
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arguments: {
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arguments: {
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sql: `SELECT DATE(created_at) as date, COUNT(*) as count
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language: 'python',
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FROM users
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code: `def word_frequency(text):
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WHERE created_at >= DATE('now', '-7 days')
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"""统计文本中每个单词的出现频率，按频率降序排列"""
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GROUP BY DATE(created_at)
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import re
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ORDER BY date`,
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words = re.findall(r'\\b\\w+\\b', text.lower())
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freq = {}
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for w in words:
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freq[w] = freq.get(w, 0) + 1
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return dict(sorted(freq.items(), key=lambda x: x[1], reverse=True))
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sample = "hello world hello python world python python"
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result = word_frequency(sample)
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for word, count in result.items():
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print(f"{word}: {count}")`,
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},
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},
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collapsed: false,
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collapsed: false,
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},
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},
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@@ -251,17 +244,11 @@ ORDER BY date`,
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segments: [
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segments: [
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{
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{
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kind: 'tool_call_result',
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kind: 'tool_call_result',
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toolName: 'run_query',
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toolName: 'execute_code',
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success: true,
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success: true,
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result: `[
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result: `python: 3
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{"date": "2026-06-01", "count": 42},
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world: 2
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{"date": "2026-06-02", "count": 38},
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hello: 2`,
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{"date": "2026-06-03", "count": 55},
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{"date": "2026-06-04", "count": 47},
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{"date": "2026-06-05", "count": 61},
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{"date": "2026-06-06", "count": 73},
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{"date": "2026-06-07", "count": 58}
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]`,
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collapsed: true,
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collapsed: true,
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},
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},
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],
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],
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@@ -273,25 +260,13 @@ ORDER BY date`,
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segments: [
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segments: [
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{
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{
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kind: 'text',
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kind: 'text',
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content: '查询成功。现在生成折线图——',
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content: '运行成功！其实用 `collections.Counter` 可以让代码更简洁。让我查一下 Python 官方文档确认 Counter 的 API 细节——',
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},
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},
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{
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{
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kind: 'tool_call_request',
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kind: 'tool_call_request',
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toolName: 'plot_chart',
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toolName: 'lookup_api',
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arguments: {
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arguments: {
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type: 'line',
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query: 'collections.Counter most_common',
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title: 'Daily User Registrations (Past 7 Days)',
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x_label: 'Date',
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y_label: 'New Users',
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data: [
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{ date: '06-01', count: 42 },
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{ date: '06-02', count: 38 },
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{ date: '06-03', count: 55 },
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{ date: '06-04', count: 47 },
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{ date: '06-05', count: 61 },
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{ date: '06-06', count: 73 },
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{ date: '06-07', count: 58 },
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],
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},
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},
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collapsed: false,
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collapsed: false,
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},
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},
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@@ -304,9 +279,9 @@ ORDER BY date`,
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segments: [
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segments: [
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{
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{
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kind: 'tool_call_result',
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kind: 'tool_call_result',
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toolName: 'plot_chart',
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toolName: 'lookup_api',
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success: false,
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success: false,
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result: 'Error: plot_chart requires "output_format" parameter (png | svg). Please retry with format specified.',
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result: 'Error: lookup_api requires "source" parameter (python | mdn | react | node). Please specify the documentation source and retry.',
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collapsed: false,
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collapsed: false,
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},
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},
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],
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],
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