calude-code-06-新颖组件 定义 Claude Code 的关键创新
2025/3/7大约 20 分钟
新颖组件:定义 Claude Code 的关键创新
以下是严格、完整、不做任何省略的中文翻译,保持原有结构、标题层级、代码块、表格与 Markdown 格式不变,仅对自然语言内容进行忠实翻译,代码保持原样。
新颖组件:定义 Claude Code 的关键创新
流式 JSON 解析器:处理 LLM 的“未完成思考”
当 LLM 以流式方式发送一次工具调用请求时,它并不会一次性发送完整的 JSON。相反,你可能会收到如下片段:
{"file_path": "/src/
{"file_path": "/src/main.
{"file_path": "/src/main.ts", "old_str
{"file_path": "/src/main.ts", "old_string": "console.log('hell流式 JSON 解析器优雅地解决了这一问题:
class StreamingToolInputParser {
private buffer: string = '';
private state = {
depth: 0, // {} / [] 的嵌套层级
inString: boolean, // 当前是否位于字符串中?
escape: boolean, // 前一个字符是否是反斜杠?
stringChar: '"' | "'" | null, // 当前字符串使用的引号类型
};
addChunk(chunk: string): ParseResult {
this.buffer += chunk;
// 逐字符更新解析器状态
for (let i = 0; i < chunk.length; i++) {
const char = chunk[i];
const prevChar = i > 0 ? chunk[i-1] : this.buffer[this.buffer.length - chunk.length - 1];
// 处理转义序列
if (this.escape) {
this.escape = false;
continue;
}
if (char === '\\' && this.state.inString) {
this.escape = true;
continue;
}
// 字符串边界检测
if (!this.state.inString && (char === '"' || char === "'")) {
this.state.inString = true;
this.state.stringChar = char;
} else if (this.state.inString && char === this.state.stringChar) {
this.state.inString = false;
this.state.stringChar = null;
}
// 在字符串之外跟踪嵌套深度
if (!this.state.inString) {
if (char === '{' || char === '[') {
this.state.depth++;
} else if (char === '}' || char === ']') {
this.state.depth--;
// 当回到 depth 0 时尝试解析
if (this.state.depth === 0) {
return this.tryParse();
}
}
}
}
// 即便没有回到 depth 0,也可能已经完整(畸形 JSON)
if (this.buffer.length > 10000) { // 安全上限
return this.tryParseWithRecovery();
}
return { complete: false };
}
private tryParse(): ParseResult {
try {
const parsed = JSON.parse(this.buffer);
return { complete: true, value: parsed };
} catch (e) {
return { complete: false, partial: this.buffer };
}
}
private tryParseWithRecovery(): ParseResult {
let attemptBuffer = this.buffer;
// 修复策略 1:关闭未关闭的字符串
if (this.state.inString && this.state.stringChar) {
attemptBuffer += this.state.stringChar;
// 尝试关闭未闭合的结构
attemptBuffer += '}'.repeat(Math.max(0, this.state.depth));
attemptBuffer += ']'.repeat(
Math.max(0, (attemptBuffer.match(/\[/g) || []).length -
(attemptBuffer.match(/\]/g) || []).length)
);
}
// 修复策略 2:基于结构分析自动补全
const braceBalance = (attemptBuffer.match(/{/g) || []).length -
(attemptBuffer.match(/}/g) || []).length;
const bracketBalance = (attemptBuffer.match(/\[/g) || []).length -
(attemptBuffer.match(/\]/g) || []).length;
attemptBuffer += '}'.repeat(Math.max(0, braceBalance));
attemptBuffer += ']'.repeat(Math.max(0, bracketBalance));
try {
const parsed = JSON.parse(attemptBuffer);
return {
complete: true,
value: parsed,
wasRepaired: true,
repairs: {
closedStrings: this.state.inString,
addedBraces: braceBalance,
addedBrackets: bracketBalance
}
};
} catch (e) {
// 修复策略 3:尽可能提取可用数据
const partialResult = this.extractPartialData(this.buffer);
return {
complete: false,
partial: partialResult,
error: e.message
};
}
}
private extractPartialData(buffer: string): any {
// 尝试提取完整的键值对
const result: any = {};
const keyValuePattern = /"(\w+)":\s*("([^"\\]*(\\.[^"\\]*)*)"|true|false|null|\d+)/g;
let match;
while ((match = keyValuePattern.exec(buffer)) !== null) {
const [, key, value] = match;
try {
result[key] = JSON.parse(value);
} catch {
result[key] = value; // 如果解析失败则按字符串存储
}
}
return Object.keys(result).length > 0 ? result : null;
}
}为什么这是新颖的:
- 传统 JSON 解析器无法处理不完整输入
- 该解析器支持渐进式解析,并能返回有意义的部分结果
- 多种修复策略可处理常见的 LLM 流式输出问题
- 支持响应式 UI,在工具输入流式到达时即时展示
性能特征:
| 输入大小 | 解析时间 | 内存 | 成功率 |
|---|---|---|---|
| <1KB | <0.1ms | O(n) | 100% |
| 1–10KB | 0.1–1ms | O(n) | 99.9% |
| 10–100KB | 1–10ms | O(n) | 99.5% |
| >100KB | 10–50ms | O(n) | 98%(启用修复) |
normalizeToSize 算法:智能数据截断
在向 LLM 或遥测服务发送数据时,大小限制至关重要。normalizeToSize 算法可以在保留结构的前提下,智能地缩减对象体积:
class DataNormalizer {
static normalizeToSize(
obj: any,
maxDepth: number = 3,
maxSizeInBytes: number = 100_000
): any {
// 首先尝试完整深度
let normalized = this.normalize(obj, maxDepth);
let size = this.estimateSize(normalized);
// 逐步降低深度直到满足大小限制
while (size > maxSizeInBytes && maxDepth > 0) {
maxDepth--;
normalized = this.normalize(obj, maxDepth);
size = this.estimateSize(normalized);
}
return normalized;
}
private static normalize(
obj: any,
maxDepth: number,
currentDepth: number = 0,
visited = new WeakSet()
): any {
// 处理基本类型
if (obj === null) return '[null]';
if (obj === undefined) return '[undefined]';
if (typeof obj === 'number' && isNaN(obj)) return '[NaN]';
if (typeof obj === 'bigint') return `[BigInt: ${obj}n]`;
// 处理函数与 Symbol
if (typeof obj === 'function') {
return `[Function: ${obj.name || 'anonymous'}]`;
}
if (typeof obj === 'symbol') {
return `[Symbol: ${obj.description || 'Symbol'}]`;
}
// 原始类型直接返回
if (['string', 'number', 'boolean'].includes(typeof obj)) {
return obj;
}
// 达到深度上限
if (currentDepth >= maxDepth) {
if (Array.isArray(obj)) return `[Array(${obj.length})]`;
if (obj.constructor?.name) {
return `[${obj.constructor.name}]`;
}
return '[Object]';
}
// 循环引用检测
if (visited.has(obj)) {
return '[Circular]';
}
visited.add(obj);
// 已知类型的特殊处理
if (this.isReactElement(obj)) {
return `[React.${obj.type?.name || obj.type || 'Element'}]`;
}
if (this.isVueComponent(obj)) {
return `[Vue.${obj.$options?.name || 'Component'}]`;
}
if (obj instanceof Error) {
return {
name: obj.name,
message: obj.message,
stack: this.truncateStack(obj.stack)
};
}
if (obj instanceof Date) {
return obj.toISOString();
}
if (obj instanceof RegExp) {
return obj.toString();
}
// 处理 DOM 元素
if (this.isDOMElement(obj)) {
return `[${obj.tagName}${obj.id ? '#' + obj.id : ''}]`;
}
// 处理 toJSON 方法
if (typeof obj.toJSON === 'function') {
try {
return this.normalize(
obj.toJSON(),
maxDepth,
currentDepth,
visited
);
} catch {
return '[Object with toJSON error]';
}
}
// 数组处理
if (Array.isArray(obj)) {
const result = [];
const maxItems = 100; // 限制数组大小
for (let i = 0; i < Math.min(obj.length, maxItems); i++) {
result.push(
this.normalize(obj[i], maxDepth, currentDepth + 1, visited)
);
}
if (obj.length > maxItems) {
result.push(`... ${obj.length - maxItems} more items`);
}
return result;
}
// 对象处理
const result: any = {};
const keys = Object.keys(obj);
const maxProps = 50; // 限制属性数量
// 尊重 Sentry 指令
if (obj.__sentry_skip_normalization__) {
return obj;
}
const effectiveMaxDepth =
obj.__sentry_override_normalization_depth__ || maxDepth;
for (let i = 0; i < Math.min(keys.length, maxProps); i++) {
const key = keys[i];
try {
result[key] = this.normalize(
obj[key],
effectiveMaxDepth,
currentDepth + 1,
visited
);
} catch {
result[key] = '[Error accessing property]';
}
}
if (keys.length > maxProps) {
result['...'] = `${keys.length - maxProps} more properties`;
}
return result;
}
private static estimateSize(obj: any): number {
// 不做完整序列化的快速估算
const sample = JSON.stringify(obj).substring(0, 1000);
const avgCharSize = new Blob([sample]).size / sample.length;
const fullLength = this.estimateJsonLength(obj);
return Math.ceil(fullLength * avgCharSize);
}
private static estimateJsonLength(obj: any, visited = new WeakSet()): number {
if (obj === null || obj === undefined) return 4; // "null"
if (typeof obj === 'boolean') return obj ? 4 : 5; // "true" : "false"
if (typeof obj === 'number') return String(obj).length;
if (typeof obj === 'string') return obj.length + 2; // 引号
if (visited.has(obj)) return 12; // "[Circular]"
visited.add(obj);
if (Array.isArray(obj)) {
let length = 2; // []
for (const item of obj) {
length += this.estimateJsonLength(item, visited) + 1; // 逗号
}
return length;
}
if (typeof obj === 'object') {
let length = 2; // {}
for (const key in obj) {
length += key.length + 3; // "key":
length += this.estimateJsonLength(obj[key], visited) + 1; // 逗号
}
return length;
}
return 10; // 默认估算
}
}为什么这是新颖的:
- 基于真实字节大小的迭代式深度收缩
- 对特殊对象的类型感知序列化
- 尊重 React、Vue 等框架对象
- 使用 WeakSet 高效检测循环引用
- 在约束内尽可能保留信息
使用场景:
// LLM 上下文准备
const context = normalizeToSize(
largeProjectState,
10, // 初始深度 10
50_000 // 上下文 50KB 限制
);
// 遥测错误上报
const errorContext = normalizeToSize(
applicationState,
5, // 合理深度
10_000 // 错误报告 10KB
);AgentTool 综合(Synthesis):编排多视角结果
AgentTool 不仅仅是运行子代理(sub-agents)——它还会智能地整合它们的结果:
class AgentToolSynthesizer {
static async synthesizeResults(
results: SubAgentResult[],
originalTask: string,
context: ToolUseContext
): Promise<string> {
// 单一结果 —— 无需综合
if (results.length === 1) {
return results[0].content;
}
// 准备综合所需的上下文数据
const synthesisData = this.prepareSynthesisData(results);
// 计算用于综合的 token 预算
const tokenBudget = this.calculateSynthesisTokenBudget(
results,
originalTask
);
// 构建综合用的提示词
const synthesisPrompt = this.buildSynthesisPrompt(
originalTask,
synthesisData,
tokenBudget
);
// 使用一个快速模型进行综合
const synthesizer = new SubAgentExecutor({
prompt: synthesisPrompt,
model: 'claude-3-haiku-20240307',
maxTokens: tokenBudget.output,
isSynthesis: true,
temperature: 0.3 // 较低的 temperature,用于事实性综合
});
return synthesizer.execute();
}
private static prepareSynthesisData(
results: SubAgentResult[]
): SynthesisData {
// 从每个结果中提取关键信息
const data = results.map((result, index) => ({
agentId: index + 1,
content: result.content,
keyFindings: this.extractKeyFindings(result.content),
toolsUsed: result.toolsUsed,
confidence: this.assessConfidence(result),
tokensUsed: result.usage.total_tokens,
uniqueInsights: []
}));
// 识别各代理之间的独特洞察
this.identifyUniqueInsights(data);
// 查找共识点与分歧点
const consensus = this.findConsensus(data);
const conflicts = this.findConflicts(data);
return {
agents: data,
consensus,
conflicts,
coverageMap: this.buildCoverageMap(data)
};
}
private static buildSynthesisPrompt(
originalTask: string,
data: SynthesisData,
tokenBudget: TokenBudget
): string {
return `你是一个综合代理,负责将来自 ${data.agents.length} 次独立调查的发现进行整合。
## 原始任务
${originalTask}
## 调查结果
${data.agents.map(agent => `
### 代理 ${agent.agentId} 的发现
**使用的工具**:${agent.toolsUsed.join(', ') || '无'}
**置信度**:${agent.confidence}/5
**Token 使用效率**:${agent.tokensUsed} tokens
${agent.content}
**关键要点**:
${agent.keyFindings.map(f => `- ${f}`).join('\\n')}
`).join('\\n---\\n')}
## 共识点
${data.consensus.map(c => `- ${c.point}(由 ${c.agentIds.join(', ')} 一致同意)`).join('\\n')}
## 冲突信息
${data.conflicts.map(c => `- ${c.description}`).join('\\n') || '未发现冲突。'}
## 覆盖度分析
${this.formatCoverageMap(data.coverageMap)}
## 你的任务
请将这些发现综合为一个单一、全面的回答,要求:
1. 提供统一的整体视角
2. 突出一致意见
3. 指出任何矛盾或不确定之处
4. 对原始任务给出尽可能完整的答案
请将回复控制在 ${tokenBudget.output} 个 token 以内。
重点关注可执行的洞察和具体发现。
`;
}
private static extractKeyFindings(content: string): string[] {
// 使用启发式方法提取关键要点
const findings: string[] = [];
// 查找项目符号列表
const bulletPoints = content.match(/^[\\s-*•]+(.+)$/gm) || [];
findings.push(...bulletPoints.map(b => b.trim()));
// 查找编号列表
const numberedItems = content.match(/^\\d+\\.\\s+(.+)$/gm) || [];
findings.push(...numberedItems.map(n => n.replace(/^\\d+\\.\\s+/, '')));
// 查找结论性标记
const conclusions = content.match(
/(?:concluded?|found|discovered|determined):\\s*(.+?)(?:\\.|$)/gi
) || [];
findings.push(...conclusions);
// 去重并限制数量
return [...new Set(findings)].slice(0, 5);
}
private static assessConfidence(result: SubAgentResult): number {
let confidence = 3; // 基准值
// 使用工具越多,置信度越高
if (result.toolsUsed.length > 3) confidence++;
if (result.toolsUsed.length > 5) confidence++;
// 出现错误则降低置信度
if (result.hadErrors) confidence--;
// 基于结果内容的模式判断
if (result.content.includes('unable to') ||
result.content.includes('could not find')) {
confidence--;
}
if (result.content.includes('successfully') ||
result.content.includes('confirmed')) {
confidence++;
}
return Math.max(1, Math.min(5, confidence));
}
private static identifyUniqueInsights(data: AgentData[]): void {
// 构建洞察频率映射表
const insightFrequency = new Map<string, number>();
for (const agent of data) {
for (const finding of agent.keyFindings) {
const normalized = this.normalizeInsight(finding);
insightFrequency.set(
normalized,
(insightFrequency.get(normalized) || 0) + 1
);
}
}
// 标记独特洞察
for (const agent of data) {
agent.uniqueInsights = agent.keyFindings.filter(finding => {
const normalized = this.normalizeInsight(finding);
return insightFrequency.get(normalized) === 1;
});
}
}
}为何这是新颖的(Why This Is Novel):
- 不再是简单拼接,而是进行智能综合
- 跨代理提取并对比关键发现
- 识别共识与冲突
- 使用专用的综合模型以提升效率
- 在去除冗余的同时保留独特洞察
错误格式化流水线:让失败变得可执行
错误信息对于 LLM 的格式需求,与面向人类的错误信息不同:
class ErrorFormatter {
static formatToolErrorContent(
error: any,
tool: ToolDefinition,
context?: ErrorContext
): ContentBlock[] {
const errorType = this.classifyError(error);
const formatter = this.formatters[errorType] || this.defaultFormatter;
return formatter(error, tool, context);
}
private static formatters = {
shell: (error: ShellError, tool: ToolDefinition): ContentBlock[] => {
const blocks: ContentBlock[] = [];
// 主错误信息
blocks.push({
type: 'text',
text: `工具 '${tool.name}' 执行失败,退出码为 ${error.exitCode}`
});
// 如果存在 stdout,则包含
if (error.stdout && error.stdout.trim()) {
blocks.push({
type: 'text',
text: `stdout:\\n\\`\\`\\`\\n${this.truncateOutput(error.stdout)}\\n\\`\\`\\``
});
}
// 如果存在 stderr,则包含
if (error.stderr && error.stderr.trim()) {
blocks.push({
type: 'text',
text: `stderr:\\n\\`\\`\\`\\n${this.truncateOutput(error.stderr)}\\n\\`\\`\\``
});
}
// 添加上下文提示
const hints = this.generateShellErrorHints(error);
if (hints.length > 0) {
blocks.push({
type: 'text',
text: `\\n可能的问题:\\n${hints.map(h => `- ${h}`).join('\\n')}`
});
}
// 提供替代建议
const suggestions = this.generateShellSuggestions(error);
if (suggestions.length > 0) {
blocks.push({
type: 'text',
text: `\\n建议:\\n${suggestions.map(s => `- ${s}`).join('\\n')}`
});
}
return blocks;
},
validation: (error: ZodError, tool: ToolDefinition): ContentBlock[] => {
const issues = error.issues.map(issue => {
const path = issue.path.join('.');
const fieldName = path || 'input';
// 根据错误类型进行格式化
switch (issue.code) {
case 'invalid_type':
return `- ${fieldName}:期望 ${issue.expected},但收到 ${issue.received}`;
case 'too_small':
if (issue.type === 'string') {
return `- ${fieldName}:长度至少需要 ${issue.minimum} 个字符`;
} else if (issue.type === 'array') {
return `- ${fieldName}:至少需要 ${issue.minimum} 个元素`;
}
return `- ${fieldName}:值过小`;
case 'too_big':
if (issue.type === 'string') {
return `- ${fieldName}:长度最多只能是 ${issue.maximum} 个字符`;
}
return `- ${fieldName}:值过大`;
case 'invalid_enum_value':
return `- ${fieldName}:必须是以下值之一:${issue.options.join(', ')}`;
case 'custom':
return `- ${fieldName}:${issue.message}`;
default:
return `- ${fieldName}:${issue.message}`;
}
});
return [{
type: 'text',
text: `工具 '${tool.name}' 的输入校验失败:\\n${issues.join('\\n')}\\n\\n请检查你的输入参数并重试。`
}];
},
permission: (error: PermissionError, tool: ToolDefinition): ContentBlock[] => {
const blocks: ContentBlock[] = [];
blocks.push({
type: 'text',
text: `对 ${tool.name} 的操作被拒绝,权限不足`
});
if (error.reason) {
blocks.push({
type: 'text',
text: `原因:${error.reason}`
});
}
if (error.rule) {
blocks.push({
type: 'text',
text: `被规则拒绝:${error.rule.scope}:${error.rule.pattern}`
});
}
// 提供可执行的指导
if (error.suggestions && error.suggestions.length > 0) {
blocks.push({
type: 'text',
text: `\\n你可以采取以下措施继续:\\n${error.suggestions.map(s => `- ${s}`).join('\\n')}`
});
} else {
blocks.push({
type: 'text',
text: '\\n该操作需要明确的用户授权。请询问用户是否希望继续。'
});
}
return blocks;
},
filesystem: (error: FileSystemError, tool: ToolDefinition): ContentBlock[] => {
const blocks: ContentBlock[] = [];
blocks.push({
type: 'text',
text: `在工具 ${tool.name} 中发生文件系统错误:${error.code}`
});
// 基于错误码给出具体指导
const guidance = {
'ENOENT': '文件或目录不存在,请检查路径是否正确。',
'EACCES': '权限被拒绝,文件可能是只读的,或需要更高权限。',
'EEXIST': '文件已存在,请考虑使用不同的名称或在创建前进行检查。',
'EISDIR': '期望的是文件,但实际是目录。',
'ENOTDIR': '期望的是目录,但实际是文件。',
'EMFILE': '打开的文件过多,可能需要关闭部分文件句柄。',
'ENOSPC': '设备上没有剩余空间。',
'EROFS': '只读文件系统。'
};
if (guidance[error.code]) {
blocks.push({
type: 'text',
text: guidance[error.code]
});
}
if (error.path) {
blocks.push({
type: 'text',
text: `路径:${error.path}`
});
}
return blocks;
}
};
private static generateShellErrorHints(error: ShellError): string[] {
const hints: string[] = [];
// 命令未找到
if (error.stderr?.includes('command not found') ||
error.stderr?.includes('not found')) {
hints.push('该命令可能未安装,或不在 PATH 中');
// 建议常见替代方案
const command = error.command.split(' ')[0];
const alternatives = {
'python': '尝试使用 python3',
'pip': '尝试使用 pip3',
'node': '可能未安装 Node.js',
'npm': '可能未安装 npm'
};
if (alternatives[command]) {
hints.push(alternatives[command]);
}
}
// 权限不足
if (error.stderr?.includes('Permission denied') ||
error.stderr?.includes('Operation not permitted')) {
hints.push('尝试使用不同权限运行,或在其他目录中执行');
hints.push('检查文件或目录的所有权是否正确');
}
// 网络错误
if (error.stderr?.includes('Could not resolve host') ||
error.stderr?.includes('Connection refused')) {
hints.push('检测到网络连接问题');
hints.push('检查是否需要将 sandbox=false 以允许网络访问');
}
return hints;
}
private static truncateOutput(output: string, maxLength: number = 1000): string {
if (output.length <= maxLength) return output;
// 尝试在换行符处截断
const truncatePoint = output.lastIndexOf('\\n', maxLength);
const actualTruncate = truncatePoint > maxLength * 0.8 ? truncatePoint : maxLength;
return output.substring(0, actualTruncate) +
`\\n...(已截断 ${output.length - actualTruncate} 个字符)`;
}
}为何这是新颖的(Why This Is Novel):
- 错误消息针对 LLM 的理解方式进行定制
- 包含可执行的改进建议
- 保留关键的调试信息(stdout / stderr)
- 提供与上下文相关的提示
- 将 Zod 校验错误转换为自然语言表达
动态上下文组装:智能优先级排序
上下文组装系统不再是简单的拼接:
class DynamicContextAssembler {
private static readonly CONTEXT_PRIORITIES = {
baseInstructions: 1,
modelAdaptations: 2,
claudeMdContent: 3,
gitContext: 4,
directoryStructure: 5,
toolSpecifications: 6,
activeSelections: 3.5, // 介于 CLAUDE.md 与 git 之间
recentErrors: 2.5 // 错误上下文具有较高优先级
};
static async assembleSystemPrompt(
components: ContextComponents,
tokenBudget: number,
model: string
): Promise<string | ContentBlock[]> {
// 阶段 1:收集所有组件及其元数据
const sections = await this.gatherSections(components, model);
// 阶段 2:计算 token 成本
const tokenizedSections = await this.tokenizeSections(sections);
// 阶段 3:智能截断
const selectedSections = this.selectSections(
tokenizedSections,
tokenBudget
);
// 阶段 4:格式化并组合
return this.formatSystemPrompt(selectedSections);
}
private static async gatherSections(
components: ContextComponents,
model: string
): Promise<ContextSection[]> {
const sections: ContextSection[] = [];
// 基础指令(始终包含)
sections.push({
priority: this.CONTEXT_PRIORITIES.baseInstructions,
content: components.baseInstructions,
required: true,
type: 'base'
});
// 模型特定的适配内容
const modelAdaptations = await this.getModelAdaptations(model);
sections.push({
priority: this.CONTEXT_PRIORITIES.modelAdaptations,
content: modelAdaptations,
required: true,
type: 'model'
});
// CLAUDE.md 的分层加载
const claudeMdContent = await this.loadClaudeMdHierarchy();
sections.push({
priority: this.CONTEXT_PRIORITIES.claudeMdContent,
content: this.formatClaudeMd(claudeMdContent),
required: false,
type: 'claudemd',
metadata: {
sources: claudeMdContent.map(c => c.source),
totalSize: claudeMdContent.reduce((sum, c) => sum + c.content.length, 0)
}
});
// 带智能摘要的 Git 上下文
const gitContext = await this.getGitContext();
sections.push({
priority: this.CONTEXT_PRIORITIES.gitContext,
content: this.formatGitContext(gitContext),
required: false,
type: 'git',
canSummarize: true,
summarizer: () => this.summarizeGitContext(gitContext)
});
// 可控制深度的目录结构
const dirStructure = await this.getDirectoryStructure();
sections.push({
priority: this.CONTEXT_PRIORITIES.directoryStructure,
content: dirStructure.full,
required: false,
type: 'directory',
alternatives: [
{ depth: 3, content: dirStructure.depth3 },
{ depth: 2, content: dirStructure.depth2 },
{ depth: 1, content: dirStructure.depth1 }
]
});
// 工具规格说明
const toolSpecs = await this.formatToolSpecifications(components.tools);
sections.push({
priority: this.CONTEXT_PRIORITIES.toolSpecifications,
content: toolSpecs.full,
required: true, // 工具必须包含
type: 'tools',
alternatives: [
{ level: 'minimal', content: toolSpecs.minimal },
{ level: 'names-only', content: toolSpecs.namesOnly }
]
});
return sections;
}
private static async loadClaudeMdHierarchy(): Promise<ClaudeMdContent[]> {
const sources = [
{ path: '/etc/claude-code/CLAUDE.md', scope: 'managed' },
{ path: '~/.claude/CLAUDE.md', scope: 'user' },
{ path: '.claude/CLAUDE.md', scope: 'project' },
{ path: '.claude/CLAUDE.local.md', scope: 'local' }
];
const contents: ClaudeMdContent[] = [];
for (const source of sources) {
try {
const content = await fs.readFile(source.path, 'utf8');
const processed = await this.processClaudeMd(content, source.scope);
contents.push(processed);
} catch {
// 文件不存在,跳过
}
}
return this.mergeClaudeMdContents(contents);
}
private static async processClaudeMd(
content: string,
scope: string
): Promise<ClaudeMdContent> {
// 处理 @mentions 引用
const processed = await this.resolveMentions(content);
// 提取指令
const directives = this.extractDirectives(processed);
return {
scope,
content: processed,
directives,
source: scope
};
}
private static mergeClaudeMdContents(
contents: ClaudeMdContent[]
): ClaudeMdContent[] {
const merged: ClaudeMdContent[] = [];
const overrides = new Map<string, string>();
// 逆序处理(local 覆盖 managed)
for (let i = contents.length - 1; i >= 0; i--) {
const content = contents[i];
// 处理 @override 指令
for (const directive of content.directives) {
if (directive.type === 'override') {
overrides.set(directive.key, content.scope);
}
}
// 如果未被覆盖,则包含该内容
const isOverridden = Array.from(overrides.entries()).some(
([key, scope]) =>
content.content.includes(key) && scope !== content.scope
);
if (!isOverridden) {
merged.unshift(content);
}
}
return merged;
}
private static selectSections(
sections: TokenizedSection[],
budget: number
): TokenizedSection[] {
// 按优先级排序
const sorted = [...sections].sort((a, b) => a.priority - b.priority);
const selected: TokenizedSection[] = [];
let usedTokens = 0;
// 第一轮:包含所有必选部分
for (const section of sorted) {
if (section.required) {
selected.push(section);
usedTokens += section.tokenCount;
}
}
// 第二轮:按优先级包含可选部分
for (const section of sorted) {
if (!section.required && usedTokens + section.tokenCount <= budget) {
selected.push(section);
usedTokens += section.tokenCount;
} else if (!section.required && section.alternatives) {
// 尝试使用替代方案
for (const alt of section.alternatives) {
if (usedTokens + alt.tokenCount <= budget) {
selected.push({
...section,
content: alt.content,
tokenCount: alt.tokenCount
});
usedTokens += alt.tokenCount;
break;
}
}
}
}
return selected;
}
}为何这是新颖的(Why This Is Novel):
- 基于优先级的截断,确保最重要的上下文被保留
- 具备覆盖语义的分层 CLAUDE.md 加载机制
- 动态替代方案(例如目录深度的自动降低)
- 针对不同模型的提示词适配
- 智能摘要作为兜底方案
内存管理模式:保持精简(Keeping It Lean)
Claude Code 实现了一套相当成熟的内存管理机制:
class MemoryManager {
// 模式 1:对大型对象使用弱引用
private static fileCache = new Map<string, WeakRef<FileContent>>();
private static registry = new FinalizationRegistry((key: string) => {
console.debug(`已被垃圾回收:${key}`);
this.fileCache.delete(key);
});
static cacheFile(path: string, content: FileContent) {
// 存储弱引用
const ref = new WeakRef(content);
this.fileCache.set(path, ref);
// 注册清理通知
this.registry.register(content, path);
}
static getFile(path: string): FileContent | null {
const ref = this.fileCache.get(path);
if (!ref) return null;
const content = ref.deref();
if (!content) {
// 已被垃圾回收
this.fileCache.delete(path);
return null;
}
return content;
}
// 模式 2:带背压(backpressure)的流式处理
static async *streamLargeFile(
path: string,
options: StreamOptions = {}
): AsyncGenerator<Buffer> {
const highWaterMark = options.chunkSize || 64 * 1024; // 64KB 分块
const stream = createReadStream(path, { highWaterMark });
let totalRead = 0;
let isPaused = false;
for await (const chunk of stream) {
totalRead += chunk.length;
// 检查内存压力
const memUsage = process.memoryUsage();
if (memUsage.heapUsed / memUsage.heapTotal > 0.9) {
if (!isPaused) {
console.warn('内存压力过高,暂停流读取');
stream.pause();
isPaused = true;
// 如果可用,强制触发垃圾回收
if (global.gc) {
global.gc();
}
// 等待内存释放
await new Promise(resolve => setTimeout(resolve, 100));
}
} else if (isPaused) {
stream.resume();
isPaused = false;
}
yield chunk;
// 定期让出事件循环
if (totalRead % (1024 * 1024) === 0) { // 每读取 1MB
await new Promise(resolve => setImmediate(resolve));
}
}
}
// 模式 3:用于频繁分配的对象池
static bufferPool = new BufferPool({
size: 100,
bufferSize: 64 * 1024
});
// 模式 4:内存压力检测
static monitorMemoryPressure() {
setInterval(() => {
const usage = process.memoryUsage();
const heapPercent = usage.heapUsed / usage.heapTotal;
const rssGB = usage.rss / 1024 / 1024 / 1024;
if (heapPercent > 0.85) {
console.warn(`堆内存使用率过高:${(heapPercent * 100).toFixed(1)}%`);
// 触发清理动作
this.performMemoryCleanup();
}
if (rssGB > 2) {
console.warn(`RSS 内存过高:${rssGB.toFixed(2)}GB`);
}
}, 5000);
}
private static performMemoryCleanup() {
// 清理非关键缓存
if (this.patternCache) {
this.patternCache.clear();
}
// 如有需要,对对话进行压缩
if (ConversationManager.shouldCompact()) {
ConversationManager.triggerCompaction();
}
// 如果可用,强制执行 GC
if (global.gc) {
const before = process.memoryUsage().heapUsed;
global.gc();
const after = process.memoryUsage().heapUsed;
console.debug(`GC 释放了 ${((before - after) / 1024 / 1024).toFixed(1)}MB 内存`);
}
}
}
// Buffer 池实现
class BufferPool {
private available: Buffer[] = [];
private inUse = new WeakMap<Buffer, boolean>();
constructor(private config: BufferPoolConfig) {
// 预分配 Buffer
for (let i = 0; i < config.size; i++) {
this.available.push(Buffer.allocUnsafe(config.bufferSize));
}
}
acquire(): Buffer {
let buffer = this.available.pop();
if (!buffer) {
// 池已耗尽,分配新的 Buffer
console.warn('Buffer 池已耗尽,正在分配新的 Buffer');
buffer = Buffer.allocUnsafe(this.config.bufferSize);
}
this.inUse.set(buffer, true);
return buffer;
}
release(buffer: Buffer) {
if (!this.inUse.has(buffer)) {
throw new Error('该 Buffer 不属于当前池');
}
this.inUse.delete(buffer);
// 出于安全考虑,清空 Buffer 内容
buffer.fill(0);
if (this.available.length < this.config.size) {
this.available.push(buffer);
}
}
}为何这是新颖的(Why This Is Novel):
- 使用弱引用,使大型缓存文件能够被自动清理
- 带背压的流式处理,防止内存耗尽
- Buffer 池化,降低频繁分配带来的开销
- 主动监测内存压力并做出响应
权限规则编译:快速做出安全决策(Permission Rule Compilation: Fast Security Decisions)
权限系统会将规则编译为高效可执行的形式,以便快速评估:
class PermissionRuleCompiler {
private compiledRules = new Map<string, CompiledRule>();
compile(rule: string): CompiledRule {
// 检查缓存
if (this.compiledRules.has(rule)) {
return this.compiledRules.get(rule)!;
}
// 解析规则语法
const parsed = this.parseRule(rule);
const compiled = this.compileRule(parsed);
this.compiledRules.set(rule, compiled);
return compiled;
}
private parseRule(rule: string): ParsedRule {
// 规则格式:
// - ToolName
// - ToolName(path/pattern)
// - ToolName(path/pattern, condition)
// - @tag:ToolName
const patterns = {
simple: /^(\\w+)$/,
withPath: /^(\\w+)\\(([^,)]+)\\)$/,
withCondition: /^(\\w+)\\(([^,]+),\\s*(.+)\\)$/,
tagged: /^@(\\w+):(.+)$/
};
// 优先尝试带 tag 的格式
const taggedMatch = rule.match(patterns.tagged);
if (taggedMatch) {
const [, tag, rest] = taggedMatch;
const innerRule = this.parseRule(rest);
return { ...innerRule, tags: [tag] };
}
// 尝试带条件的格式
const conditionMatch = rule.match(patterns.withCondition);
if (conditionMatch) {
const [, tool, path, condition] = conditionMatch;
return {
tool,
path,
condition: this.parseCondition(condition),
tags: []
};
}
// 尝试带路径的格式
const pathMatch = rule.match(patterns.withPath);
if (pathMatch) {
const [, tool, path] = pathMatch;
return { tool, path, tags: [] };
}
// 简单的工具名格式
const simpleMatch = rule.match(patterns.simple);
if (simpleMatch) {
return { tool: simpleMatch[1], tags: [] };
}
throw new Error(`无效的规则语法:${rule}`);
}
private compileRule(parsed: ParsedRule): CompiledRule {
const compiled: CompiledRule = {
original: parsed,
matchers: {},
evaluate: null as any // 稍后设置
};
// 编译工具名匹配器
if (parsed.tool.includes('*')) {
// 工具名中包含通配符
const regex = new RegExp(
'^' + parsed.tool.replace(/\\*/g, '.*') + '$'
);
compiled.matchers.tool = (tool: string) => regex.test(tool);
} else {
// 精确匹配
compiled.matchers.tool = (tool: string) => tool === parsed.tool;
}
// 编译路径匹配器
if (parsed.path) {
if (parsed.path.includes('*') || parsed.path.includes('?')) {
// Glob 模式
const matcher = picomatch(parsed.path);
compiled.matchers.path = (path: string) => matcher(path);
} else {
// 精确匹配或前缀匹配
compiled.matchers.path = (path: string) => {
const normalizedRule = path.resolve(parsed.path);
const normalizedInput = path.resolve(path);
if (normalizedRule.endsWith('/')) {
// 目录前缀匹配
return normalizedInput.startsWith(normalizedRule);
} else {
// 精确匹配
return normalizedInput === normalizedRule;
}
};
}
}
// 编译条件
if (parsed.condition) {
compiled.matchers.condition = this.compileCondition(parsed.condition);
}
// 创建优化后的评估器
compiled.evaluate = this.createEvaluator(compiled);
return compiled;
}
private createEvaluator(rule: CompiledRule): RuleEvaluator {
// 生成优化后的评估函数
const checks: string[] = [];
if (rule.matchers.tool) {
checks.push('if (!matchers.tool(input.tool)) return false;');
}
if (rule.matchers.path) {
checks.push('if (input.path && !matchers.path(input.path)) return false;');
}
if (rule.matchers.condition) {
checks.push('if (!matchers.condition(input, context)) return false;');
}
checks.push('return true;');
// 创建开销最小的函数
const fn = new Function(
'matchers',
'input',
'context',
checks.join('\\n')
);
return (input: RuleInput, context: RuleContext) => {
return fn(rule.matchers, input, context);
};
}
evaluateRules(
rules: string[],
input: RuleInput,
context: RuleContext
): RuleMatch | null {
// 按顺序编译并评估规则
for (const ruleStr of rules) {
const rule = this.compile(ruleStr);
if (rule.evaluate(input, context)) {
return {
matched: true,
rule: ruleStr,
compiled: rule
};
}
}
return null;
}
}为何这是新颖的(Why This Is Novel):
- 对规则进行 JIT 编译以提升性能
- 支持包含条件的复杂规则语法
- 已编译规则的缓存机制
- 生成高度优化的评估器
进度聚合:协调并行操作(Progress Aggregation: Coordinating Parallel Operations)
当多个工具并行运行时,需要对它们的进度进行统一协调:
class ProgressAggregator {
private streams = new Map<string, ProgressStream>();
private subscribers = new Set<ProgressSubscriber>();
private buffer = new RingBuffer<AggregatedProgress>(1000);
async *aggregate(
operations: ToolOperation[]
): AsyncGenerator<AggregatedProgress> {
// 启动所有操作
const startTime = Date.now();
for (const op of operations) {
const stream = this.createProgressStream(op);
this.streams.set(op.id, stream);
// 在后台启动操作
this.runOperation(op, stream);
}
// 持续输出聚合后的进度
while (this.streams.size > 0) {
const event = await this.getNextEvent();
if (!event) continue;
const aggregated: AggregatedProgress = {
type: 'aggregated_progress',
timestamp: Date.now(),
elapsed: Date.now() - startTime,
source: event.source,
event: event,
// 全局统计信息
statistics: {
total: operations.length,
completed: this.countCompleted(),
failed: this.countFailed(),
inProgress: this.streams.size,
// 按工具维度拆分
byTool: this.getToolStatistics(),
// 性能指标
avgDuration: this.getAverageDuration(),
throughput: this.getThroughput()
},
// 可视化的进度表示
visualization: this.createVisualization()
};
// 写入缓冲区,用于 UI 节流
this.buffer.push(aggregated);
// 根据节流策略决定是否产出
if (this.shouldYield(aggregated)) {
yield aggregated;
}
}
// 最终汇总
yield this.createFinalSummary(operations, startTime);
}
private async getNextEvent(): Promise<ProgressEvent | null> {
if (this.streams.size === 0) return null;
// 对所有活跃流创建 race
const promises = Array.from(this.streams.entries()).map(
async ([id, stream]) => {
const event = await stream.next();
return { id, event };
}
);
try {
// 与超时一起 race,防止卡死
const result = await Promise.race([
...promises,
this.timeout(100).then(() => ({ id: 'timeout', event: null }))
]);
if (result.id === 'timeout') {
return null;
}
if (result.event?.done) {
this.streams.delete(result.id);
}
return result.event?.value || null;
} catch (error) {
// 优雅地处理流错误
console.error('进度流错误:', error);
return null;
}
}
private shouldYield(event: AggregatedProgress): boolean {
// 节流逻辑
const now = Date.now();
// 完成或错误事件始终输出
if (event.event.type === 'complete' || event.event.type === 'error') {
return true;
}
// 对进度更新进行节流
const lastYield = this.lastYieldTime.get(event.source) || 0;
const timeSinceLastYield = now - lastYield;
// 基于操作数量的动态节流
const throttleMs = Math.min(50 * this.streams.size, 500);
if (timeSinceLastYield >= throttleMs) {
this.lastYieldTime.set(event.source, now);
return true;
}
return false;
}
private createVisualization(): ProgressVisualization {
const bars = Array.from(this.streams.entries()).map(([id, stream]) => {
const state = stream.getState();
const percentage = state.progress || 0;
const barLength = 20;
const filled = Math.floor(percentage * barLength / 100);
return {
id,
tool: state.tool,
bar: '█'.repeat(filled) + '░'.repeat(barLength - filled),
percentage,
status: state.status,
eta: state.eta
};
});
return {
type: 'bars',
bars,
summary: this.createSummaryLine()
};
}
}为何这是新颖的(Why This Is Novel):
- 协调来自多个并发操作的进度
- 基于操作数量的动态节流策略
- 丰富的统计信息与可视化能力
- 对流错误进行优雅处理
- 使用环形缓冲区(Ring Buffer)实现 UI 节流
本分析展示了使 Claude Code 脱颖而出的创新性组件。这些并不仅仅是优化手段,而是为 LLM 集成式开发环境所面临的挑战量身定制的基础性架构创新。
