5d8ad5a925
修复通过 /v1/messages 对接 Claude 客户端时「长时间无输出，最后一次性出现大量内容」的问题。 问题原因： - CodexConverter 在文本增量场景只发送了 content_block_delta， 缺少对应文本块的 content_block_start 和 content_block_stop 事件 - Claude 兼容客户端无法将 delta 识别为可渲染增量 修复内容： - 为 text/thinking 输出分支补齐完整的 Claude SSE 事件序列： 首个 delta 前发送 content_block_start，块结束时发送 content_block_stop - 新增 blockStarted/currentBlockType 状态跟踪，正确处理块类型切换 - 在 tool_use 和 response.completed 前关闭已打开的内容块 - message_start 事件补充 content: [] 字段 影响范围：CodexConverter、ClaudeConverter 流式转换逻辑
2234 lines
85 KiB
JavaScript
2234 lines
85 KiB
JavaScript
/**
|
||
* Claude转换器
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* 处理Claude（Anthropic）协议与其他协议之间的转换
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*/
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import { v4 as uuidv4 } from 'uuid';
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import logger from '../../utils/logger.js';
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import { BaseConverter } from '../BaseConverter.js';
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import {
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checkAndAssignOrDefault,
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cleanJsonSchemaProperties as cleanJsonSchema,
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determineReasoningEffortFromBudget,
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OPENAI_DEFAULT_MAX_TOKENS,
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OPENAI_DEFAULT_TEMPERATURE,
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OPENAI_DEFAULT_TOP_P,
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GEMINI_DEFAULT_MAX_TOKENS,
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GEMINI_DEFAULT_TEMPERATURE,
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GEMINI_DEFAULT_TOP_P,
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GEMINI_DEFAULT_INPUT_TOKEN_LIMIT,
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GEMINI_DEFAULT_OUTPUT_TOKEN_LIMIT
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} from '../utils.js';
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import { MODEL_PROTOCOL_PREFIX } from '../../utils/common.js';
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import {
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generateResponseCreated,
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generateResponseInProgress,
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generateOutputItemAdded,
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generateContentPartAdded,
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generateOutputTextDone,
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generateContentPartDone,
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generateOutputItemDone,
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generateResponseCompleted
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} from '../../providers/openai/openai-responses-core.mjs';
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/**
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* Claude转换器类
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* 实现Claude协议到其他协议的转换
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*/
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export class ClaudeConverter extends BaseConverter {
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constructor() {
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super('claude');
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}
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/**
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* 转换请求
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*/
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convertRequest(data, targetProtocol) {
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switch (targetProtocol) {
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case MODEL_PROTOCOL_PREFIX.OPENAI:
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return this.toOpenAIRequest(data);
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case MODEL_PROTOCOL_PREFIX.GEMINI:
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return this.toGeminiRequest(data);
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case MODEL_PROTOCOL_PREFIX.OPENAI_RESPONSES:
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return this.toOpenAIResponsesRequest(data);
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case MODEL_PROTOCOL_PREFIX.CODEX:
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return this.toCodexRequest(data);
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case MODEL_PROTOCOL_PREFIX.GROK:
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return this.toGrokRequest(data);
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default:
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throw new Error(`Unsupported target protocol: ${targetProtocol}`);
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}
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}
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/**
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* 转换响应
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*/
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convertResponse(data, targetProtocol, model) {
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switch (targetProtocol) {
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case MODEL_PROTOCOL_PREFIX.OPENAI:
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return this.toOpenAIResponse(data, model);
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case MODEL_PROTOCOL_PREFIX.GEMINI:
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return this.toGeminiResponse(data, model);
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case MODEL_PROTOCOL_PREFIX.OPENAI_RESPONSES:
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return this.toOpenAIResponsesResponse(data, model);
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case MODEL_PROTOCOL_PREFIX.CODEX:
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return this.toCodexResponse(data, model);
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default:
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throw new Error(`Unsupported target protocol: ${targetProtocol}`);
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}
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}
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/**
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* 转换流式响应块
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*/
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convertStreamChunk(chunk, targetProtocol, model) {
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switch (targetProtocol) {
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case MODEL_PROTOCOL_PREFIX.OPENAI:
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return this.toOpenAIStreamChunk(chunk, model);
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case MODEL_PROTOCOL_PREFIX.GEMINI:
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return this.toGeminiStreamChunk(chunk, model);
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case MODEL_PROTOCOL_PREFIX.OPENAI_RESPONSES:
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return this.toOpenAIResponsesStreamChunk(chunk, model);
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case MODEL_PROTOCOL_PREFIX.CODEX:
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return this.toCodexStreamChunk(chunk, model);
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default:
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throw new Error(`Unsupported target protocol: ${targetProtocol}`);
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}
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}
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/**
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* 转换模型列表
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*/
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convertModelList(data, targetProtocol) {
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switch (targetProtocol) {
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case MODEL_PROTOCOL_PREFIX.OPENAI:
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return this.toOpenAIModelList(data);
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case MODEL_PROTOCOL_PREFIX.GEMINI:
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return this.toGeminiModelList(data);
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default:
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return data;
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}
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}
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// =========================================================================
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// Claude -> OpenAI 转换
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// =========================================================================
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/**
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* Claude请求 -> OpenAI请求
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*/
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toOpenAIRequest(claudeRequest) {
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const openaiMessages = [];
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let systemMessageContent = '';
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// 添加系统消息
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if (claudeRequest.system) {
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systemMessageContent = claudeRequest.system;
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}
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// 处理消息
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if (claudeRequest.messages && Array.isArray(claudeRequest.messages)) {
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const tempOpenAIMessages = [];
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for (const msg of claudeRequest.messages) {
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const role = msg.role;
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// 处理用户的工具结果消息
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if (role === "user" && Array.isArray(msg.content)) {
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const hasToolResult = msg.content.some(
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item => item && typeof item === 'object' && item.type === "tool_result"
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);
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if (hasToolResult) {
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for (const item of msg.content) {
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if (item && typeof item === 'object' && item.type === "tool_result") {
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const toolUseId = item.tool_use_id || item.id || "";
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let contentStr = item.content || "";
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if (typeof contentStr === 'object') {
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contentStr = JSON.stringify(contentStr);
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} else {
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contentStr = String(contentStr);
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}
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tempOpenAIMessages.push({
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role: "tool",
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tool_call_id: toolUseId,
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content: contentStr,
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});
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}
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}
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continue;
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}
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}
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// 处理assistant消息中的工具调用
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if (role === "assistant" && Array.isArray(msg.content) && msg.content.length > 0) {
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const firstPart = msg.content[0];
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if (firstPart.type === "tool_use") {
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const funcName = firstPart.name || "";
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const funcArgs = firstPart.input || {};
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tempOpenAIMessages.push({
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role: "assistant",
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content: '',
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tool_calls: [
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{
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id: firstPart.id || `call_${funcName}_1`,
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type: "function",
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function: {
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name: funcName,
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arguments: JSON.stringify(funcArgs)
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},
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index: firstPart.index || 0
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}
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]
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});
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continue;
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}
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}
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// 普通文本消息
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const contentConverted = this.processClaudeContentToOpenAIContent(msg.content || "");
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if (contentConverted && (Array.isArray(contentConverted) ? contentConverted.length > 0 : contentConverted.trim().length > 0)) {
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tempOpenAIMessages.push({
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role: role,
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content: contentConverted
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});
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}
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}
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// OpenAI兼容性校验
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const validatedMessages = [];
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for (let idx = 0; idx < tempOpenAIMessages.length; idx++) {
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const m = tempOpenAIMessages[idx];
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if (m.role === "assistant" && m.tool_calls) {
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const callIds = m.tool_calls.map(tc => tc.id).filter(id => id);
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let unmatched = new Set(callIds);
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for (let laterIdx = idx + 1; laterIdx < tempOpenAIMessages.length; laterIdx++) {
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const later = tempOpenAIMessages[laterIdx];
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if (later.role === "tool" && unmatched.has(later.tool_call_id)) {
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unmatched.delete(later.tool_call_id);
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}
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if (unmatched.size === 0) break;
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}
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if (unmatched.size > 0) {
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m.tool_calls = m.tool_calls.filter(tc => !unmatched.has(tc.id));
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if (m.tool_calls.length === 0) {
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delete m.tool_calls;
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if (m.content === null) m.content = "";
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}
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}
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}
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validatedMessages.push(m);
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}
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openaiMessages.push(...validatedMessages);
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}
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const openaiRequest = {
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model: claudeRequest.model,
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messages: openaiMessages,
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max_tokens: checkAndAssignOrDefault(claudeRequest.max_tokens, OPENAI_DEFAULT_MAX_TOKENS),
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temperature: checkAndAssignOrDefault(claudeRequest.temperature, OPENAI_DEFAULT_TEMPERATURE),
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top_p: checkAndAssignOrDefault(claudeRequest.top_p, OPENAI_DEFAULT_TOP_P),
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stream: claudeRequest.stream,
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};
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// 处理工具
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if (claudeRequest.tools) {
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const openaiTools = [];
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for (const tool of claudeRequest.tools) {
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openaiTools.push({
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type: "function",
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function: {
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name: tool.name || "",
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description: tool.description || "",
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parameters: cleanJsonSchema(tool.input_schema || {})
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}
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});
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}
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openaiRequest.tools = openaiTools;
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openaiRequest.tool_choice = "auto";
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}
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// 处理thinking转换
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if (claudeRequest.thinking && claudeRequest.thinking.type === "enabled") {
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const budgetTokens = claudeRequest.thinking.budget_tokens;
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const reasoningEffort = determineReasoningEffortFromBudget(budgetTokens);
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openaiRequest.reasoning_effort = reasoningEffort;
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let maxCompletionTokens = null;
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if (claudeRequest.max_tokens !== undefined) {
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maxCompletionTokens = claudeRequest.max_tokens;
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delete openaiRequest.max_tokens;
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} else {
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const envMaxTokens = process.env.OPENAI_REASONING_MAX_TOKENS;
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if (envMaxTokens) {
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try {
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maxCompletionTokens = parseInt(envMaxTokens, 10);
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} catch (e) {
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logger.warn(`Invalid OPENAI_REASONING_MAX_TOKENS value '${envMaxTokens}'`);
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}
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}
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if (!envMaxTokens) {
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throw new Error("For OpenAI reasoning models, max_completion_tokens is required.");
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}
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}
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openaiRequest.max_completion_tokens = maxCompletionTokens;
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}
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// 添加系统消息
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if (systemMessageContent) {
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let stringifiedSystemMessageContent = systemMessageContent;
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if (Array.isArray(systemMessageContent)) {
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stringifiedSystemMessageContent = systemMessageContent.map(item =>
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typeof item === 'string' ? item : item.text).join('\n');
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}
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openaiRequest.messages.unshift({ role: 'system', content: stringifiedSystemMessageContent });
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}
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return openaiRequest;
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}
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||
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/**
|
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* Claude响应 -> OpenAI响应
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*/
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toOpenAIResponse(claudeResponse, model) {
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if (!claudeResponse || !claudeResponse.content || claudeResponse.content.length === 0) {
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return {
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||
id: `chatcmpl-${uuidv4()}`,
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object: "chat.completion",
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created: Math.floor(Date.now() / 1000),
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model: model,
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choices: [{
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index: 0,
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message: {
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role: "assistant",
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content: "",
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},
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finish_reason: "stop",
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}],
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usage: {
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prompt_tokens: claudeResponse.usage?.input_tokens || 0,
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||
completion_tokens: claudeResponse.usage?.output_tokens || 0,
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||
total_tokens: (claudeResponse.usage?.input_tokens || 0) + (claudeResponse.usage?.output_tokens || 0),
|
||
},
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||
};
|
||
}
|
||
|
||
// Extract thinking blocks into OpenAI-style `reasoning_content`.
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let reasoningContent = '';
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||
if (Array.isArray(claudeResponse.content)) {
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||
for (const block of claudeResponse.content) {
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if (!block || typeof block !== 'object') continue;
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||
if (block.type === 'thinking') {
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reasoningContent += (block.thinking ?? block.text ?? '');
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||
}
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||
}
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||
}
|
||
|
||
// 检查是否包含 tool_use
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||
const hasToolUse = claudeResponse.content.some(block => block && block.type === 'tool_use');
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||
|
||
let message = {
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||
role: "assistant",
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||
content: null
|
||
};
|
||
|
||
if (hasToolUse) {
|
||
// 处理包含工具调用的响应
|
||
const toolCalls = [];
|
||
let textContent = '';
|
||
|
||
for (const block of claudeResponse.content) {
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if (!block) continue;
|
||
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||
if (block.type === 'text') {
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textContent += block.text || '';
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||
} else if (block.type === 'tool_use') {
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||
toolCalls.push({
|
||
id: block.id || `call_${block.name}_${Date.now()}`,
|
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type: "function",
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||
function: {
|
||
name: block.name || '',
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||
arguments: JSON.stringify(block.input || {})
|
||
}
|
||
});
|
||
}
|
||
}
|
||
|
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message.content = textContent || null;
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if (toolCalls.length > 0) {
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message.tool_calls = toolCalls;
|
||
}
|
||
} else {
|
||
// 处理普通文本响应
|
||
message.content = this.processClaudeResponseContent(claudeResponse.content);
|
||
}
|
||
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if (reasoningContent) {
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||
message.reasoning_content = reasoningContent;
|
||
}
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||
|
||
// 处理 finish_reason
|
||
let finishReason = 'stop';
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||
if (claudeResponse.stop_reason === 'end_turn') {
|
||
finishReason = 'stop';
|
||
} else if (claudeResponse.stop_reason === 'max_tokens') {
|
||
finishReason = 'length';
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} else if (claudeResponse.stop_reason === 'tool_use') {
|
||
finishReason = 'tool_calls';
|
||
} else if (claudeResponse.stop_reason) {
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||
finishReason = claudeResponse.stop_reason;
|
||
}
|
||
|
||
return {
|
||
id: `chatcmpl-${uuidv4()}`,
|
||
object: "chat.completion",
|
||
created: Math.floor(Date.now() / 1000),
|
||
model: model,
|
||
choices: [{
|
||
index: 0,
|
||
message: message,
|
||
finish_reason: finishReason,
|
||
}],
|
||
usage: {
|
||
prompt_tokens: claudeResponse.usage?.input_tokens || 0,
|
||
completion_tokens: claudeResponse.usage?.output_tokens || 0,
|
||
total_tokens: (claudeResponse.usage?.input_tokens || 0) + (claudeResponse.usage?.output_tokens || 0),
|
||
cached_tokens: claudeResponse.usage?.cache_read_input_tokens || 0,
|
||
prompt_tokens_details: {
|
||
cached_tokens: claudeResponse.usage?.cache_read_input_tokens || 0
|
||
}
|
||
},
|
||
};
|
||
}
|
||
|
||
/**
|
||
* Claude流式响应 -> OpenAI流式响应
|
||
*/
|
||
toOpenAIStreamChunk(claudeChunk, model) {
|
||
if (!claudeChunk) return null;
|
||
|
||
// 处理 Claude 流式事件
|
||
const chunkId = `chatcmpl-${uuidv4()}`;
|
||
const timestamp = Math.floor(Date.now() / 1000);
|
||
|
||
// message_start 事件
|
||
if (claudeChunk.type === 'message_start') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
role: "assistant",
|
||
content: ""
|
||
},
|
||
finish_reason: null
|
||
}],
|
||
usage: {
|
||
prompt_tokens: claudeChunk.message?.usage?.input_tokens || 0,
|
||
completion_tokens: 0,
|
||
total_tokens: claudeChunk.message?.usage?.input_tokens || 0,
|
||
cached_tokens: claudeChunk.message?.usage?.cache_read_input_tokens || 0
|
||
}
|
||
};
|
||
}
|
||
|
||
// content_block_start 事件
|
||
if (claudeChunk.type === 'content_block_start') {
|
||
const contentBlock = claudeChunk.content_block;
|
||
|
||
// 处理 tool_use 类型
|
||
if (contentBlock && contentBlock.type === 'tool_use') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
tool_calls: [{
|
||
index: claudeChunk.index || 0,
|
||
id: contentBlock.id,
|
||
type: "function",
|
||
function: {
|
||
name: contentBlock.name,
|
||
arguments: ""
|
||
}
|
||
}]
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
// 处理 text 类型
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
content: ""
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
// content_block_delta 事件
|
||
if (claudeChunk.type === 'content_block_delta') {
|
||
const delta = claudeChunk.delta;
|
||
|
||
// 处理 text_delta
|
||
if (delta && delta.type === 'text_delta') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
content: delta.text || ""
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
// 处理 thinking_delta (推理内容)
|
||
if (delta && delta.type === 'thinking_delta') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
reasoning_content: delta.thinking || ""
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
// 处理 input_json_delta (tool arguments)
|
||
if (delta && delta.type === 'input_json_delta') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
tool_calls: [{
|
||
index: claudeChunk.index || 0,
|
||
function: {
|
||
arguments: delta.partial_json || ""
|
||
}
|
||
}]
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
}
|
||
|
||
// content_block_stop 事件
|
||
if (claudeChunk.type === 'content_block_stop') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
// message_delta 事件
|
||
if (claudeChunk.type === 'message_delta') {
|
||
const stopReason = claudeChunk.delta?.stop_reason;
|
||
const finishReason = stopReason === 'end_turn' ? 'stop' :
|
||
stopReason === 'max_tokens' ? 'length' :
|
||
stopReason === 'tool_use' ? 'tool_calls' :
|
||
stopReason || 'stop';
|
||
|
||
const chunk = {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {},
|
||
finish_reason: finishReason
|
||
}]
|
||
};
|
||
|
||
if(claudeChunk.usage){
|
||
chunk.usage = {
|
||
prompt_tokens: claudeChunk.usage.input_tokens || 0,
|
||
completion_tokens: claudeChunk.usage.output_tokens || 0,
|
||
total_tokens: (claudeChunk.usage.input_tokens || 0) + (claudeChunk.usage.output_tokens || 0),
|
||
cached_tokens: claudeChunk.usage.cache_read_input_tokens || 0,
|
||
prompt_tokens_details: {
|
||
cached_tokens: claudeChunk.usage.cache_read_input_tokens || 0
|
||
}
|
||
};
|
||
}
|
||
|
||
return chunk;
|
||
}
|
||
|
||
// message_stop 事件
|
||
if (claudeChunk.type === 'message_stop') {
|
||
return null;
|
||
// const chunk = {
|
||
// id: chunkId,
|
||
// object: "chat.completion.chunk",
|
||
// created: timestamp,
|
||
// model: model,
|
||
// system_fingerprint: "",
|
||
// choices: [{
|
||
// index: 0,
|
||
// delta: {},
|
||
// finish_reason: 'stop'
|
||
// }]
|
||
// };
|
||
// return chunk;
|
||
}
|
||
|
||
// 兼容旧格式：如果是字符串，直接作为文本内容
|
||
if (typeof claudeChunk === 'string') {
|
||
return {
|
||
id: chunkId,
|
||
object: "chat.completion.chunk",
|
||
created: timestamp,
|
||
model: model,
|
||
system_fingerprint: "",
|
||
choices: [{
|
||
index: 0,
|
||
delta: {
|
||
content: claudeChunk
|
||
},
|
||
finish_reason: null
|
||
}]
|
||
};
|
||
}
|
||
|
||
return null;
|
||
}
|
||
|
||
/**
|
||
* Claude模型列表 -> OpenAI模型列表
|
||
*/
|
||
toOpenAIModelList(claudeModels) {
|
||
return {
|
||
object: "list",
|
||
data: claudeModels.models.map(m => {
|
||
const modelId = m.id || m.name;
|
||
return {
|
||
id: modelId,
|
||
object: "model",
|
||
created: Math.floor(Date.now() / 1000),
|
||
owned_by: "anthropic",
|
||
display_name: modelId,
|
||
};
|
||
}),
|
||
};
|
||
}
|
||
|
||
/**
|
||
* 将 Claude 模型列表转换为 Gemini 模型列表
|
||
*/
|
||
toGeminiModelList(claudeModels) {
|
||
const models = claudeModels.models || [];
|
||
return {
|
||
models: models.map(m => ({
|
||
name: `models/${m.id || m.name}`,
|
||
version: m.version || "1.0.0",
|
||
displayName: m.displayName || m.id || m.name,
|
||
description: m.description || `A generative model for text and chat generation. ID: ${m.id || m.name}`,
|
||
inputTokenLimit: m.inputTokenLimit || GEMINI_DEFAULT_INPUT_TOKEN_LIMIT,
|
||
outputTokenLimit: m.outputTokenLimit || GEMINI_DEFAULT_OUTPUT_TOKEN_LIMIT,
|
||
supportedGenerationMethods: m.supportedGenerationMethods || ["generateContent", "streamGenerateContent"]
|
||
}))
|
||
};
|
||
}
|
||
|
||
/**
|
||
* 处理Claude内容到OpenAI格式
|
||
*/
|
||
processClaudeContentToOpenAIContent(content) {
|
||
if (!content) return [];
|
||
|
||
// 如果是字符串，直接转换为 OpenAI 的文本块格式
|
||
if (typeof content === 'string') {
|
||
return [{
|
||
type: 'text',
|
||
text: content
|
||
}];
|
||
}
|
||
|
||
if (!Array.isArray(content)) return [];
|
||
|
||
const contentArray = [];
|
||
|
||
content.forEach(block => {
|
||
if (!block) return;
|
||
|
||
switch (block.type) {
|
||
case 'text':
|
||
if (block.text) {
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: block.text
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'image':
|
||
if (block.source && block.source.type === 'base64') {
|
||
contentArray.push({
|
||
type: 'image_url',
|
||
image_url: {
|
||
url: `data:${block.source.media_type};base64,${block.source.data}`
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'tool_use':
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: `[Tool use: ${block.name}]`
|
||
});
|
||
break;
|
||
|
||
case 'tool_result':
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: typeof block.content === 'string' ? block.content : JSON.stringify(block.content)
|
||
});
|
||
break;
|
||
|
||
default:
|
||
if (block.text) {
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: block.text
|
||
});
|
||
}
|
||
}
|
||
});
|
||
|
||
return contentArray;
|
||
}
|
||
|
||
/**
|
||
* 处理Claude响应内容
|
||
*/
|
||
processClaudeResponseContent(content) {
|
||
if (!content) return '';
|
||
|
||
if (typeof content === 'string') return content;
|
||
|
||
if (!Array.isArray(content)) return '';
|
||
|
||
const contentArray = [];
|
||
|
||
content.forEach(block => {
|
||
if (!block) return;
|
||
|
||
switch (block.type) {
|
||
case 'text':
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: block.text || ''
|
||
});
|
||
break;
|
||
|
||
case 'image':
|
||
if (block.source && block.source.type === 'base64') {
|
||
contentArray.push({
|
||
type: 'image_url',
|
||
image_url: {
|
||
url: `data:${block.source.media_type};base64,${block.source.data}`
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
default:
|
||
if (block.text) {
|
||
contentArray.push({
|
||
type: 'text',
|
||
text: block.text
|
||
});
|
||
}
|
||
}
|
||
});
|
||
|
||
return contentArray.length === 1 && contentArray[0].type === 'text'
|
||
? contentArray[0].text
|
||
: contentArray;
|
||
}
|
||
|
||
// =========================================================================
|
||
// Claude -> Gemini 转换
|
||
// =========================================================================
|
||
|
||
// Gemini Claude thought signature constant
|
||
static GEMINI_CLAUDE_THOUGHT_SIGNATURE = "skip_thought_signature_validator";
|
||
|
||
/**
|
||
* Claude请求 -> Gemini请求
|
||
*/
|
||
toGeminiRequest(claudeRequest) {
|
||
if (!claudeRequest || typeof claudeRequest !== 'object') {
|
||
logger.warn("Invalid claudeRequest provided to toGeminiRequest.");
|
||
return { contents: [] };
|
||
}
|
||
|
||
const geminiRequest = {
|
||
contents: []
|
||
};
|
||
|
||
// 处理系统指令 - 支持数组和字符串格式
|
||
if (claudeRequest.system) {
|
||
if (Array.isArray(claudeRequest.system)) {
|
||
// 数组格式的系统指令
|
||
const systemParts = [];
|
||
claudeRequest.system.forEach(systemPrompt => {
|
||
if (systemPrompt && systemPrompt.type === 'text' && typeof systemPrompt.text === 'string') {
|
||
systemParts.push({ text: systemPrompt.text });
|
||
}
|
||
});
|
||
if (systemParts.length > 0) {
|
||
geminiRequest.systemInstruction = {
|
||
role: 'user',
|
||
parts: systemParts
|
||
};
|
||
}
|
||
} else if (typeof claudeRequest.system === 'string') {
|
||
// 字符串格式的系统指令
|
||
geminiRequest.systemInstruction = {
|
||
parts: [{ text: claudeRequest.system }]
|
||
};
|
||
} else if (typeof claudeRequest.system === 'object') {
|
||
// 对象格式的系统指令
|
||
geminiRequest.systemInstruction = {
|
||
parts: [{ text: JSON.stringify(claudeRequest.system) }]
|
||
};
|
||
}
|
||
}
|
||
|
||
// 处理消息
|
||
if (Array.isArray(claudeRequest.messages)) {
|
||
claudeRequest.messages.forEach(message => {
|
||
if (!message || typeof message !== 'object' || !message.role) {
|
||
logger.warn("Skipping invalid message in claudeRequest.messages.");
|
||
return;
|
||
}
|
||
|
||
const geminiRole = message.role === 'assistant' ? 'model' : 'user';
|
||
const content = message.content;
|
||
|
||
// 处理内容
|
||
if (Array.isArray(content)) {
|
||
const parts = [];
|
||
|
||
content.forEach(block => {
|
||
if (!block || typeof block !== 'object') return;
|
||
|
||
switch (block.type) {
|
||
case 'text':
|
||
if (typeof block.text === 'string') {
|
||
parts.push({ text: block.text });
|
||
}
|
||
break;
|
||
|
||
// 添加 thinking 块处理
|
||
case 'thinking':
|
||
if (typeof block.thinking === 'string' && block.thinking.length > 0) {
|
||
const thinkingPart = {
|
||
text: block.thinking,
|
||
thought: true
|
||
};
|
||
// 如果有签名，添加 thoughtSignature
|
||
if (block.signature && block.signature.length >= 50) {
|
||
thinkingPart.thoughtSignature = block.signature;
|
||
}
|
||
parts.push(thinkingPart);
|
||
}
|
||
break;
|
||
|
||
// [FIX] 处理 redacted_thinking 块
|
||
case 'redacted_thinking':
|
||
// 将 redacted_thinking 转换为普通文本
|
||
if (block.data) {
|
||
parts.push({
|
||
text: `[Redacted Thinking: ${block.data}]`
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'tool_use':
|
||
// 转换为 Gemini functionCall 格式
|
||
if (block.name && block.input) {
|
||
const args = typeof block.input === 'string'
|
||
? block.input
|
||
: JSON.stringify(block.input);
|
||
|
||
// 验证 args 是有效的 JSON 对象
|
||
try {
|
||
const parsedArgs = JSON.parse(args);
|
||
if (parsedArgs && typeof parsedArgs === 'object') {
|
||
parts.push({
|
||
thoughtSignature: ClaudeConverter.GEMINI_CLAUDE_THOUGHT_SIGNATURE,
|
||
functionCall: {
|
||
name: block.name,
|
||
args: parsedArgs
|
||
}
|
||
});
|
||
}
|
||
} catch (e) {
|
||
// 如果解析失败，尝试直接使用 input
|
||
if (block.input && typeof block.input === 'object') {
|
||
parts.push({
|
||
thoughtSignature: ClaudeConverter.GEMINI_CLAUDE_THOUGHT_SIGNATURE,
|
||
functionCall: {
|
||
name: block.name,
|
||
args: block.input
|
||
}
|
||
});
|
||
}
|
||
}
|
||
}
|
||
break;
|
||
|
||
case 'tool_result':
|
||
// 转换为 Gemini functionResponse 格式
|
||
// 的实现，正确处理 tool_use_id 到函数名的映射
|
||
const toolCallId = block.tool_use_id;
|
||
if (toolCallId) {
|
||
// 尝试从之前的 tool_use 块中查找对应的函数名
|
||
// 如果找不到，则从 tool_use_id 中提取
|
||
let funcName = toolCallId;
|
||
|
||
// 检查是否有缓存的 tool_id -> name 映射
|
||
// 格式通常是 "funcName-uuid" 或 "toolu_xxx"
|
||
if (toolCallId.startsWith('toolu_')) {
|
||
// Claude 格式的 tool_use_id，需要从上下文中查找函数名
|
||
// 这里我们保留原始 ID 作为 name（Gemini 会处理）
|
||
funcName = toolCallId;
|
||
} else {
|
||
const toolCallIdParts = toolCallId.split('-');
|
||
if (toolCallIdParts.length > 1) {
|
||
// 移除最后一个部分（UUID），保留函数名
|
||
funcName = toolCallIdParts.slice(0, -1).join('-');
|
||
}
|
||
}
|
||
|
||
// 获取响应数据
|
||
let responseData = block.content;
|
||
|
||
// 的 tool_result_compressor 逻辑
|
||
// 处理嵌套的 content 数组（如图片等）
|
||
if (Array.isArray(responseData)) {
|
||
// 提取文本内容
|
||
const textParts = responseData
|
||
.filter(item => item && item.type === 'text')
|
||
.map(item => item.text)
|
||
.join('\n');
|
||
responseData = textParts || JSON.stringify(responseData);
|
||
} else if (typeof responseData !== 'string') {
|
||
responseData = JSON.stringify(responseData);
|
||
}
|
||
|
||
parts.push({
|
||
functionResponse: {
|
||
name: funcName,
|
||
response: {
|
||
result: responseData
|
||
}
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'image':
|
||
if (block.source && block.source.type === 'base64') {
|
||
parts.push({
|
||
inlineData: {
|
||
mimeType: block.source.media_type,
|
||
data: block.source.data
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
}
|
||
});
|
||
|
||
if (parts.length > 0) {
|
||
geminiRequest.contents.push({
|
||
role: geminiRole,
|
||
parts: parts
|
||
});
|
||
}
|
||
} else if (typeof content === 'string') {
|
||
// 字符串内容
|
||
geminiRequest.contents.push({
|
||
role: geminiRole,
|
||
parts: [{ text: content }]
|
||
});
|
||
}
|
||
});
|
||
}
|
||
|
||
// 添加生成配置
|
||
const generationConfig = {};
|
||
|
||
if (claudeRequest.max_tokens !== undefined) {
|
||
generationConfig.maxOutputTokens = claudeRequest.max_tokens;
|
||
}
|
||
if (claudeRequest.temperature !== undefined) {
|
||
generationConfig.temperature = claudeRequest.temperature;
|
||
}
|
||
if (claudeRequest.top_p !== undefined) {
|
||
generationConfig.topP = claudeRequest.top_p;
|
||
}
|
||
if (claudeRequest.top_k !== undefined) {
|
||
generationConfig.topK = claudeRequest.top_k;
|
||
}
|
||
|
||
// 处理 thinking 配置 - 转换为 Gemini thinkingBudget
|
||
if (claudeRequest.thinking && claudeRequest.thinking.type === 'enabled') {
|
||
if (claudeRequest.thinking.budget_tokens !== undefined) {
|
||
const budget = claudeRequest.thinking.budget_tokens;
|
||
if (!generationConfig.thinkingConfig) {
|
||
generationConfig.thinkingConfig = {};
|
||
}
|
||
generationConfig.thinkingConfig.thinkingBudget = budget;
|
||
generationConfig.thinkingConfig.include_thoughts = true;
|
||
}
|
||
}
|
||
|
||
if (Object.keys(generationConfig).length > 0) {
|
||
geminiRequest.generationConfig = generationConfig;
|
||
}
|
||
|
||
// 处理工具 - 使用 parametersJsonSchema 格式
|
||
if (Array.isArray(claudeRequest.tools) && claudeRequest.tools.length > 0) {
|
||
const functionDeclarations = [];
|
||
|
||
claudeRequest.tools.forEach(tool => {
|
||
if (!tool || typeof tool !== 'object' || !tool.name) {
|
||
logger.warn("Skipping invalid tool declaration in claudeRequest.tools.");
|
||
return;
|
||
}
|
||
|
||
// 清理 input_schema
|
||
let inputSchema = tool.input_schema;
|
||
if (inputSchema && typeof inputSchema === 'object') {
|
||
// 创建副本以避免修改原始对象
|
||
inputSchema = JSON.parse(JSON.stringify(inputSchema));
|
||
// 清理不需要的字段
|
||
delete inputSchema.$schema;
|
||
// 清理 URL 格式（Gemini 不支持）
|
||
this.cleanUrlFormatFromSchema(inputSchema);
|
||
}
|
||
|
||
const funcDecl = {
|
||
name: String(tool.name),
|
||
description: String(tool.description || '')
|
||
};
|
||
|
||
// 使用 parametersJsonSchema 而不是 parameters
|
||
if (inputSchema) {
|
||
funcDecl.parametersJsonSchema = inputSchema;
|
||
}
|
||
|
||
functionDeclarations.push(funcDecl);
|
||
});
|
||
|
||
if (functionDeclarations.length > 0) {
|
||
geminiRequest.tools = [{
|
||
functionDeclarations: functionDeclarations
|
||
}];
|
||
}
|
||
}
|
||
|
||
// 处理tool_choice
|
||
if (claudeRequest.tool_choice) {
|
||
geminiRequest.toolConfig = this.buildGeminiToolConfigFromClaude(claudeRequest.tool_choice);
|
||
}
|
||
|
||
// 添加默认安全设置
|
||
geminiRequest.safetySettings = this.getDefaultSafetySettings();
|
||
|
||
return geminiRequest;
|
||
}
|
||
|
||
/**
|
||
* 清理 JSON Schema 中的 URL 格式
|
||
* Gemini 不支持 "format": "uri"
|
||
*/
|
||
cleanUrlFormatFromSchema(schema) {
|
||
if (!schema || typeof schema !== 'object') return;
|
||
|
||
// 如果是属性对象，检查并清理 format
|
||
if (schema.type === 'string' && schema.format === 'uri') {
|
||
delete schema.format;
|
||
}
|
||
|
||
// 递归处理 properties
|
||
if (schema.properties && typeof schema.properties === 'object') {
|
||
Object.values(schema.properties).forEach(prop => {
|
||
this.cleanUrlFormatFromSchema(prop);
|
||
});
|
||
}
|
||
|
||
// 递归处理 items（数组类型）
|
||
if (schema.items) {
|
||
this.cleanUrlFormatFromSchema(schema.items);
|
||
}
|
||
|
||
// 递归处理 additionalProperties
|
||
if (schema.additionalProperties && typeof schema.additionalProperties === 'object') {
|
||
this.cleanUrlFormatFromSchema(schema.additionalProperties);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 获取默认的 Gemini 安全设置
|
||
*/
|
||
getDefaultSafetySettings() {
|
||
return [
|
||
{ category: "HARM_CATEGORY_HARASSMENT", threshold: "OFF" },
|
||
{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "OFF" },
|
||
{ category: "HARM_CATEGORY_SEXUALLY_EXPLICIT", threshold: "OFF" },
|
||
{ category: "HARM_CATEGORY_DANGEROUS_CONTENT", threshold: "OFF" },
|
||
{ category: "HARM_CATEGORY_CIVIC_INTEGRITY", threshold: "OFF" }
|
||
];
|
||
}
|
||
|
||
/**
|
||
* Claude响应 -> Gemini响应
|
||
*/
|
||
toGeminiResponse(claudeResponse, model) {
|
||
if (!claudeResponse || !claudeResponse.content || claudeResponse.content.length === 0) {
|
||
return { candidates: [], usageMetadata: {} };
|
||
}
|
||
|
||
const parts = [];
|
||
|
||
// 处理内容块
|
||
for (const block of claudeResponse.content) {
|
||
if (!block) continue;
|
||
|
||
switch (block.type) {
|
||
case 'text':
|
||
if (block.text) {
|
||
parts.push({ text: block.text });
|
||
}
|
||
break;
|
||
|
||
// 添加 thinking 块处理
|
||
case 'thinking':
|
||
if (block.thinking) {
|
||
const thinkingPart = {
|
||
text: block.thinking,
|
||
thought: true
|
||
};
|
||
// 如果有签名，添加 thoughtSignature
|
||
if (block.signature && block.signature.length >= 50) {
|
||
thinkingPart.thoughtSignature = block.signature;
|
||
}
|
||
parts.push(thinkingPart);
|
||
}
|
||
break;
|
||
|
||
case 'tool_use':
|
||
// [FIX] 添加 id 和 thoughtSignature 支持
|
||
const functionCallPart = {
|
||
functionCall: {
|
||
name: block.name,
|
||
args: block.input || {}
|
||
}
|
||
};
|
||
// 添加 id（如果存在）
|
||
if (block.id) {
|
||
functionCallPart.functionCall.id = block.id;
|
||
}
|
||
// 添加签名（如果存在）
|
||
if (block.signature && block.signature.length >= 50) {
|
||
functionCallPart.thoughtSignature = block.signature;
|
||
}
|
||
parts.push(functionCallPart);
|
||
break;
|
||
|
||
case 'image':
|
||
if (block.source && block.source.type === 'base64') {
|
||
parts.push({
|
||
inlineData: {
|
||
mimeType: block.source.media_type,
|
||
data: block.source.data
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
default:
|
||
if (block.text) {
|
||
parts.push({ text: block.text });
|
||
}
|
||
}
|
||
}
|
||
|
||
// 映射finish_reason
|
||
const finishReasonMap = {
|
||
'end_turn': 'STOP',
|
||
'max_tokens': 'MAX_TOKENS',
|
||
'tool_use': 'STOP',
|
||
'stop_sequence': 'STOP'
|
||
};
|
||
|
||
return {
|
||
candidates: [{
|
||
content: {
|
||
role: 'model',
|
||
parts: parts
|
||
},
|
||
finishReason: finishReasonMap[claudeResponse.stop_reason] || 'STOP'
|
||
}],
|
||
usageMetadata: claudeResponse.usage ? {
|
||
promptTokenCount: claudeResponse.usage.input_tokens || 0,
|
||
candidatesTokenCount: claudeResponse.usage.output_tokens || 0,
|
||
totalTokenCount: (claudeResponse.usage.input_tokens || 0) + (claudeResponse.usage.output_tokens || 0),
|
||
cachedContentTokenCount: claudeResponse.usage.cache_read_input_tokens || 0,
|
||
promptTokensDetails: [{
|
||
modality: "TEXT",
|
||
tokenCount: claudeResponse.usage.input_tokens || 0
|
||
}],
|
||
candidatesTokensDetails: [{
|
||
modality: "TEXT",
|
||
tokenCount: claudeResponse.usage.output_tokens || 0
|
||
}]
|
||
} : {}
|
||
};
|
||
}
|
||
|
||
/**
|
||
* Claude流式响应 -> Gemini流式响应
|
||
*/
|
||
toGeminiStreamChunk(claudeChunk, model) {
|
||
if (!claudeChunk) return null;
|
||
|
||
// 处理Claude流式事件
|
||
if (typeof claudeChunk === 'object' && !Array.isArray(claudeChunk)) {
|
||
// content_block_start 事件 - 处理 thinking 块开始
|
||
if (claudeChunk.type === 'content_block_start') {
|
||
const contentBlock = claudeChunk.content_block;
|
||
if (contentBlock && contentBlock.type === 'thinking') {
|
||
// thinking 块开始，返回空（等待 delta）
|
||
return null;
|
||
}
|
||
if (contentBlock && contentBlock.type === 'tool_use') {
|
||
// tool_use 块开始
|
||
return {
|
||
candidates: [{
|
||
content: {
|
||
role: "model",
|
||
parts: [{
|
||
functionCall: {
|
||
name: contentBlock.name,
|
||
args: {},
|
||
id: contentBlock.id
|
||
}
|
||
}]
|
||
}
|
||
}]
|
||
};
|
||
}
|
||
}
|
||
|
||
// content_block_delta 事件
|
||
if (claudeChunk.type === 'content_block_delta') {
|
||
const delta = claudeChunk.delta;
|
||
|
||
// 处理 text_delta
|
||
if (delta && delta.type === 'text_delta') {
|
||
return {
|
||
candidates: [{
|
||
content: {
|
||
role: "model",
|
||
parts: [{
|
||
text: delta.text || ""
|
||
}]
|
||
}
|
||
}]
|
||
};
|
||
}
|
||
|
||
// [FIX] 处理 thinking_delta - 转换为 Gemini 的 thought 格式
|
||
if (delta && delta.type === 'thinking_delta') {
|
||
return {
|
||
candidates: [{
|
||
content: {
|
||
role: "model",
|
||
parts: [{
|
||
text: delta.thinking || "",
|
||
thought: true
|
||
}]
|
||
}
|
||
}]
|
||
};
|
||
}
|
||
|
||
// [FIX] 处理 signature_delta
|
||
if (delta && delta.type === 'signature_delta') {
|
||
// 签名通常与前一个 thinking 块关联
|
||
// 在流式场景中，我们可以忽略或记录
|
||
return null;
|
||
}
|
||
|
||
// [FIX] 处理 input_json_delta (tool arguments)
|
||
if (delta && delta.type === 'input_json_delta') {
|
||
// 工具参数增量，Gemini 不支持增量参数，忽略
|
||
return null;
|
||
}
|
||
}
|
||
|
||
// message_delta 事件 - 流结束
|
||
if (claudeChunk.type === 'message_delta') {
|
||
const stopReason = claudeChunk.delta?.stop_reason;
|
||
const result = {
|
||
candidates: [{
|
||
finishReason: stopReason === 'end_turn' ? 'STOP' :
|
||
stopReason === 'max_tokens' ? 'MAX_TOKENS' :
|
||
stopReason === 'tool_use' ? 'STOP' :
|
||
'OTHER'
|
||
}]
|
||
};
|
||
|
||
// 添加 usage 信息
|
||
if (claudeChunk.usage) {
|
||
result.usageMetadata = {
|
||
promptTokenCount: claudeChunk.usage.input_tokens || 0,
|
||
candidatesTokenCount: claudeChunk.usage.output_tokens || 0,
|
||
totalTokenCount: (claudeChunk.usage.input_tokens || 0) + (claudeChunk.usage.output_tokens || 0),
|
||
cachedContentTokenCount: claudeChunk.usage.cache_read_input_tokens || 0,
|
||
promptTokensDetails: [{
|
||
modality: "TEXT",
|
||
tokenCount: claudeChunk.usage.input_tokens || 0
|
||
}],
|
||
candidatesTokensDetails: [{
|
||
modality: "TEXT",
|
||
tokenCount: claudeChunk.usage.output_tokens || 0
|
||
}]
|
||
};
|
||
}
|
||
|
||
return result;
|
||
}
|
||
}
|
||
|
||
// 向后兼容：处理字符串格式
|
||
if (typeof claudeChunk === 'string') {
|
||
return {
|
||
candidates: [{
|
||
content: {
|
||
role: "model",
|
||
parts: [{
|
||
text: claudeChunk
|
||
}]
|
||
}
|
||
}]
|
||
};
|
||
}
|
||
|
||
return null;
|
||
}
|
||
|
||
/**
|
||
* 处理Claude内容到Gemini parts
|
||
*/
|
||
processClaudeContentToGeminiParts(content) {
|
||
if (!content) return [];
|
||
|
||
if (typeof content === 'string') {
|
||
return [{ text: content }];
|
||
}
|
||
|
||
if (Array.isArray(content)) {
|
||
const parts = [];
|
||
|
||
content.forEach(block => {
|
||
if (!block || typeof block !== 'object' || !block.type) {
|
||
logger.warn("Skipping invalid content block.");
|
||
return;
|
||
}
|
||
|
||
switch (block.type) {
|
||
case 'text':
|
||
if (typeof block.text === 'string') {
|
||
parts.push({ text: block.text });
|
||
}
|
||
break;
|
||
|
||
case 'image':
|
||
if (block.source && typeof block.source === 'object' &&
|
||
block.source.type === 'base64' &&
|
||
typeof block.source.media_type === 'string' &&
|
||
typeof block.source.data === 'string') {
|
||
parts.push({
|
||
inlineData: {
|
||
mimeType: block.source.media_type,
|
||
data: block.source.data
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'tool_use':
|
||
if (typeof block.name === 'string' &&
|
||
block.input && typeof block.input === 'object') {
|
||
parts.push({
|
||
functionCall: {
|
||
name: block.name,
|
||
args: block.input
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
case 'tool_result':
|
||
if (typeof block.tool_use_id === 'string') {
|
||
parts.push({
|
||
functionResponse: {
|
||
name: block.tool_use_id,
|
||
response: { content: block.content }
|
||
}
|
||
});
|
||
}
|
||
break;
|
||
|
||
default:
|
||
if (typeof block.text === 'string') {
|
||
parts.push({ text: block.text });
|
||
}
|
||
}
|
||
});
|
||
|
||
return parts;
|
||
}
|
||
|
||
return [];
|
||
}
|
||
|
||
/**
|
||
* 构建Gemini工具配置
|
||
*/
|
||
buildGeminiToolConfigFromClaude(claudeToolChoice) {
|
||
if (!claudeToolChoice || typeof claudeToolChoice !== 'object' || !claudeToolChoice.type) {
|
||
logger.warn("Invalid claudeToolChoice provided.");
|
||
return undefined;
|
||
}
|
||
|
||
switch (claudeToolChoice.type) {
|
||
case 'auto':
|
||
return { functionCallingConfig: { mode: 'AUTO' } };
|
||
case 'none':
|
||
return { functionCallingConfig: { mode: 'NONE' } };
|
||
case 'tool':
|
||
if (claudeToolChoice.name && typeof claudeToolChoice.name === 'string') {
|
||
return {
|
||
functionCallingConfig: {
|
||
mode: 'ANY',
|
||
allowedFunctionNames: [claudeToolChoice.name]
|
||
}
|
||
};
|
||
}
|
||
logger.warn("Invalid tool name in claudeToolChoice of type 'tool'.");
|
||
return undefined;
|
||
default:
|
||
logger.warn(`Unsupported claudeToolChoice type: ${claudeToolChoice.type}`);
|
||
return undefined;
|
||
}
|
||
}
|
||
|
||
// =========================================================================
|
||
// Claude -> OpenAI Responses 转换
|
||
// =========================================================================
|
||
|
||
/**
|
||
* Claude请求 -> OpenAI Responses请求
|
||
*/
|
||
toOpenAIResponsesRequest(claudeRequest) {
|
||
const responsesRequest = {
|
||
model: claudeRequest.model,
|
||
instructions: '',
|
||
input: [],
|
||
stream: claudeRequest.stream || false,
|
||
max_output_tokens: claudeRequest.max_tokens,
|
||
temperature: claudeRequest.temperature,
|
||
top_p: claudeRequest.top_p
|
||
};
|
||
|
||
// 处理系统指令
|
||
if (claudeRequest.system) {
|
||
if (Array.isArray(claudeRequest.system)) {
|
||
responsesRequest.instructions = claudeRequest.system.map(s => typeof s === 'string' ? s : s.text).join('\n');
|
||
} else {
|
||
responsesRequest.instructions = claudeRequest.system;
|
||
}
|
||
}
|
||
|
||
// 处理 thinking 配置
|
||
if (claudeRequest.thinking && claudeRequest.thinking.type === 'enabled') {
|
||
responsesRequest.reasoning = {
|
||
effort: determineReasoningEffortFromBudget(claudeRequest.thinking.budget_tokens)
|
||
};
|
||
}
|
||
|
||
// 处理消息
|
||
if (claudeRequest.messages && Array.isArray(claudeRequest.messages)) {
|
||
claudeRequest.messages.forEach(msg => {
|
||
const role = msg.role;
|
||
const content = msg.content;
|
||
|
||
if (Array.isArray(content)) {
|
||
// 检查是否包含 tool_result
|
||
const toolResult = content.find(c => c.type === 'tool_result');
|
||
if (toolResult) {
|
||
responsesRequest.input.push({
|
||
type: 'function_call_output',
|
||
call_id: toolResult.tool_use_id,
|
||
output: typeof toolResult.content === 'string' ? toolResult.content : JSON.stringify(toolResult.content)
|
||
});
|
||
return;
|
||
}
|
||
|
||
// 检查是否包含 tool_use
|
||
const toolUse = content.find(c => c.type === 'tool_use');
|
||
if (toolUse) {
|
||
responsesRequest.input.push({
|
||
type: 'function_call',
|
||
call_id: toolUse.id,
|
||
name: toolUse.name,
|
||
arguments: typeof toolUse.input === 'string' ? toolUse.input : JSON.stringify(toolUse.input)
|
||
});
|
||
return;
|
||
}
|
||
|
||
const responsesContent = content.map(c => {
|
||
if (c.type === 'text') {
|
||
return {
|
||
type: role === 'assistant' ? 'output_text' : 'input_text',
|
||
text: c.text
|
||
};
|
||
} else if (c.type === 'image') {
|
||
return {
|
||
type: 'input_image',
|
||
image_url: {
|
||
url: `data:${c.source.media_type};base64,${c.source.data}`
|
||
}
|
||
};
|
||
}
|
||
return null;
|
||
}).filter(Boolean);
|
||
|
||
if (responsesContent.length > 0) {
|
||
responsesRequest.input.push({
|
||
type: 'message',
|
||
role: role,
|
||
content: responsesContent
|
||
});
|
||
}
|
||
} else if (typeof content === 'string') {
|
||
responsesRequest.input.push({
|
||
type: 'message',
|
||
role: role,
|
||
content: [{
|
||
type: role === 'assistant' ? 'output_text' : 'input_text',
|
||
text: content
|
||
}]
|
||
});
|
||
}
|
||
});
|
||
}
|
||
|
||
// 处理工具
|
||
if (claudeRequest.tools && Array.isArray(claudeRequest.tools)) {
|
||
responsesRequest.tools = claudeRequest.tools.map(tool => ({
|
||
type: 'function',
|
||
name: tool.name,
|
||
description: tool.description,
|
||
parameters: tool.input_schema || { type: 'object', properties: {} }
|
||
}));
|
||
}
|
||
|
||
if (claudeRequest.tool_choice) {
|
||
if (claudeRequest.tool_choice.type === 'auto') {
|
||
responsesRequest.tool_choice = 'auto';
|
||
} else if (claudeRequest.tool_choice.type === 'any') {
|
||
responsesRequest.tool_choice = 'required';
|
||
} else if (claudeRequest.tool_choice.type === 'tool') {
|
||
responsesRequest.tool_choice = {
|
||
type: 'function',
|
||
function: { name: claudeRequest.tool_choice.name }
|
||
};
|
||
}
|
||
}
|
||
|
||
return responsesRequest;
|
||
}
|
||
|
||
/**
|
||
* Claude响应 -> OpenAI Responses响应
|
||
*/
|
||
toOpenAIResponsesResponse(claudeResponse, model) {
|
||
const content = this.processClaudeResponseContent(claudeResponse.content);
|
||
const textContent = typeof content === 'string' ? content : JSON.stringify(content);
|
||
|
||
let output = [];
|
||
output.push({
|
||
type: "message",
|
||
id: `msg_${uuidv4().replace(/-/g, '')}`,
|
||
summary: [],
|
||
role: "assistant",
|
||
status: "completed",
|
||
content: [{
|
||
annotations: [],
|
||
logprobs: [],
|
||
text: textContent,
|
||
type: "output_text"
|
||
}]
|
||
});
|
||
|
||
return {
|
||
background: false,
|
||
created_at: Math.floor(Date.now() / 1000),
|
||
error: null,
|
||
id: `resp_${uuidv4().replace(/-/g, '')}`,
|
||
incomplete_details: null,
|
||
max_output_tokens: null,
|
||
max_tool_calls: null,
|
||
metadata: {},
|
||
model: model || claudeResponse.model,
|
||
object: "response",
|
||
output: output,
|
||
parallel_tool_calls: true,
|
||
previous_response_id: null,
|
||
prompt_cache_key: null,
|
||
reasoning: {},
|
||
safety_identifier: "user-" + uuidv4().replace(/-/g, ''),
|
||
service_tier: "default",
|
||
status: "completed",
|
||
store: false,
|
||
temperature: 1,
|
||
text: {
|
||
format: { type: "text" },
|
||
},
|
||
tool_choice: "auto",
|
||
tools: [],
|
||
top_logprobs: 0,
|
||
top_p: 1,
|
||
truncation: "disabled",
|
||
usage: {
|
||
input_tokens: claudeResponse.usage?.input_tokens || 0,
|
||
input_tokens_details: {
|
||
cached_tokens: claudeResponse.usage?.cache_read_input_tokens || 0
|
||
},
|
||
output_tokens: claudeResponse.usage?.output_tokens || 0,
|
||
output_tokens_details: {
|
||
reasoning_tokens: 0
|
||
},
|
||
total_tokens: (claudeResponse.usage?.input_tokens || 0) + (claudeResponse.usage?.output_tokens || 0)
|
||
},
|
||
user: null
|
||
};
|
||
}
|
||
|
||
/**
|
||
* Claude流式响应 -> OpenAI Responses流式响应
|
||
*/
|
||
toOpenAIResponsesStreamChunk(claudeChunk, model, requestId = null) {
|
||
if (!claudeChunk) return [];
|
||
|
||
const responseId = requestId || `resp_${uuidv4().replace(/-/g, '')}`;
|
||
const events = [];
|
||
|
||
// message_start 事件 - 流开始
|
||
if (claudeChunk.type === 'message_start') {
|
||
events.push(
|
||
generateResponseCreated(responseId, model || 'unknown'),
|
||
generateResponseInProgress(responseId),
|
||
generateOutputItemAdded(responseId),
|
||
generateContentPartAdded(responseId)
|
||
);
|
||
}
|
||
|
||
// content_block_start 事件
|
||
if (claudeChunk.type === 'content_block_start') {
|
||
const contentBlock = claudeChunk.content_block;
|
||
|
||
// 对于 tool_use 类型，添加工具调用项
|
||
if (contentBlock && contentBlock.type === 'tool_use') {
|
||
events.push({
|
||
item: {
|
||
id: contentBlock.id,
|
||
type: "function_call",
|
||
name: contentBlock.name,
|
||
arguments: "",
|
||
status: "in_progress"
|
||
},
|
||
output_index: claudeChunk.index || 0,
|
||
sequence_number: 2,
|
||
type: "response.output_item.added"
|
||
});
|
||
}
|
||
}
|
||
|
||
// content_block_delta 事件
|
||
if (claudeChunk.type === 'content_block_delta') {
|
||
const delta = claudeChunk.delta;
|
||
|
||
// 处理文本增量
|
||
if (delta && delta.type === 'text_delta') {
|
||
events.push({
|
||
delta: delta.text || "",
|
||
item_id: `msg_${uuidv4().replace(/-/g, '')}`,
|
||
output_index: claudeChunk.index || 0,
|
||
sequence_number: 3,
|
||
type: "response.output_text.delta"
|
||
});
|
||
}
|
||
// 处理推理内容增量
|
||
else if (delta && delta.type === 'thinking_delta') {
|
||
events.push({
|
||
delta: delta.thinking || "",
|
||
item_id: `thinking_${uuidv4().replace(/-/g, '')}`,
|
||
output_index: claudeChunk.index || 0,
|
||
sequence_number: 3,
|
||
type: "response.reasoning_summary_text.delta"
|
||
});
|
||
}
|
||
// 处理工具调用参数增量
|
||
else if (delta && delta.type === 'input_json_delta') {
|
||
events.push({
|
||
delta: delta.partial_json || "",
|
||
item_id: `call_${uuidv4().replace(/-/g, '')}`,
|
||
output_index: claudeChunk.index || 0,
|
||
sequence_number: 3,
|
||
type: "response.custom_tool_call_input.delta"
|
||
});
|
||
}
|
||
}
|
||
|
||
// content_block_stop 事件
|
||
if (claudeChunk.type === 'content_block_stop') {
|
||
events.push({
|
||
item_id: `msg_${uuidv4().replace(/-/g, '')}`,
|
||
output_index: claudeChunk.index || 0,
|
||
sequence_number: 4,
|
||
type: "response.output_item.done"
|
||
});
|
||
}
|
||
|
||
// message_delta 事件 - 流结束
|
||
if (claudeChunk.type === 'message_delta') {
|
||
// events.push(
|
||
// generateOutputTextDone(responseId),
|
||
// generateContentPartDone(responseId),
|
||
// generateOutputItemDone(responseId),
|
||
// generateResponseCompleted(responseId)
|
||
// );
|
||
|
||
// 如果有 usage 信息，更新最后一个事件
|
||
if (claudeChunk.usage && events.length > 0) {
|
||
const lastEvent = events[events.length - 1];
|
||
if (lastEvent.response) {
|
||
lastEvent.response.usage = {
|
||
input_tokens: claudeChunk.usage.input_tokens || 0,
|
||
input_tokens_details: {
|
||
cached_tokens: claudeChunk.usage.cache_read_input_tokens || 0
|
||
},
|
||
output_tokens: claudeChunk.usage.output_tokens || 0,
|
||
output_tokens_details: {
|
||
reasoning_tokens: 0
|
||
},
|
||
total_tokens: (claudeChunk.usage.input_tokens || 0) + (claudeChunk.usage.output_tokens || 0)
|
||
};
|
||
}
|
||
}
|
||
}
|
||
|
||
// message_stop 事件
|
||
if (claudeChunk.type === 'message_stop') {
|
||
events.push(
|
||
generateOutputTextDone(responseId),
|
||
generateContentPartDone(responseId),
|
||
generateOutputItemDone(responseId),
|
||
generateResponseCompleted(responseId)
|
||
);
|
||
}
|
||
|
||
return events;
|
||
}
|
||
|
||
// =========================================================================
|
||
// Claude -> Codex 转换
|
||
// =========================================================================
|
||
|
||
/**
|
||
* 应用简单缩短规则缩短工具名称
|
||
*/
|
||
_shortenNameIfNeeded(name) {
|
||
const limit = 64;
|
||
if (name.length <= limit) {
|
||
return name;
|
||
}
|
||
if (name.startsWith("mcp__")) {
|
||
const idx = name.lastIndexOf("__");
|
||
if (idx > 0) {
|
||
const cand = "mcp__" + name.substring(idx + 2);
|
||
if (cand.length > limit) {
|
||
return cand.substring(0, limit);
|
||
}
|
||
return cand;
|
||
}
|
||
}
|
||
return name.substring(0, limit);
|
||
}
|
||
|
||
/**
|
||
* 构建短名称映射以确保请求内唯一性
|
||
*/
|
||
_buildShortNameMap(names) {
|
||
const limit = 64;
|
||
const used = new Set();
|
||
const m = {};
|
||
|
||
const baseCandidate = (n) => {
|
||
if (n.length <= limit) {
|
||
return n;
|
||
}
|
||
if (n.startsWith("mcp__")) {
|
||
const idx = n.lastIndexOf("__");
|
||
if (idx > 0) {
|
||
let cand = "mcp__" + n.substring(idx + 2);
|
||
if (cand.length > limit) {
|
||
cand = cand.substring(0, limit);
|
||
}
|
||
return cand;
|
||
}
|
||
}
|
||
return n.substring(0, limit);
|
||
};
|
||
|
||
const makeUnique = (cand) => {
|
||
if (!used.has(cand)) {
|
||
return cand;
|
||
}
|
||
const base = cand;
|
||
for (let i = 1; ; i++) {
|
||
const suffix = "_" + i;
|
||
const allowed = limit - suffix.length;
|
||
let tmp = base;
|
||
if (tmp.length > (allowed < 0 ? 0 : allowed)) {
|
||
tmp = tmp.substring(0, allowed < 0 ? 0 : allowed);
|
||
}
|
||
tmp = tmp + suffix;
|
||
if (!used.has(tmp)) {
|
||
return tmp;
|
||
}
|
||
}
|
||
};
|
||
|
||
for (const n of names) {
|
||
const cand = baseCandidate(n);
|
||
const uniq = makeUnique(cand);
|
||
used.add(uniq);
|
||
m[n] = uniq;
|
||
}
|
||
return m;
|
||
}
|
||
|
||
/**
|
||
* 标准化工具参数，确保对象 Schema 包含 properties
|
||
*/
|
||
_normalizeToolParameters(schema) {
|
||
if (!schema || typeof schema !== 'object') {
|
||
return { type: 'object', properties: {} };
|
||
}
|
||
const result = { ...schema };
|
||
if (!result.type) {
|
||
result.type = 'object';
|
||
}
|
||
if (result.type === 'object' && !result.properties) {
|
||
result.properties = {};
|
||
}
|
||
return result;
|
||
}
|
||
|
||
/**
|
||
* Claude请求 -> Codex请求
|
||
*/
|
||
toCodexRequest(claudeRequest) {
|
||
const codexRequest = {
|
||
model: claudeRequest.model,
|
||
instructions: '',
|
||
input: [],
|
||
stream: true,
|
||
store: false,
|
||
parallel_tool_calls: true,
|
||
metadata: claudeRequest.metadata || {},
|
||
reasoning: {
|
||
effort: claudeRequest.reasoning?.effort || 'medium',
|
||
summary: 'auto'
|
||
},
|
||
include: ['reasoning.encrypted_content']
|
||
};
|
||
|
||
// 处理系统指令
|
||
if (claudeRequest.system) {
|
||
let instructions = '';
|
||
if (Array.isArray(claudeRequest.system)) {
|
||
instructions = claudeRequest.system.map(s => typeof s === 'string' ? s : s.text).join('\n');
|
||
} else {
|
||
instructions = claudeRequest.system;
|
||
}
|
||
codexRequest.instructions = instructions;
|
||
|
||
// 处理 Codex 中的系统消息（作为 developer 角色添加到 input）
|
||
const systemParts = Array.isArray(claudeRequest.system) ? claudeRequest.system : [{ type: 'text', text: claudeRequest.system }];
|
||
const developerMessage = {
|
||
type: 'message',
|
||
role: 'developer',
|
||
content: []
|
||
};
|
||
|
||
systemParts.forEach(part => {
|
||
if (part.type === 'text') {
|
||
developerMessage.content.push({
|
||
type: 'input_text',
|
||
text: part.text
|
||
});
|
||
} else if (typeof part === 'string') {
|
||
developerMessage.content.push({
|
||
type: 'input_text',
|
||
text: part
|
||
});
|
||
}
|
||
});
|
||
|
||
if (developerMessage.content.length > 0) {
|
||
codexRequest.input.push(developerMessage);
|
||
}
|
||
}
|
||
|
||
// 处理工具并构建短名称映射
|
||
let shortMap = {};
|
||
if (claudeRequest.tools && Array.isArray(claudeRequest.tools)) {
|
||
const toolNames = claudeRequest.tools.map(t => t.name).filter(Boolean);
|
||
shortMap = this._buildShortNameMap(toolNames);
|
||
|
||
codexRequest.tools = claudeRequest.tools.map(tool => {
|
||
// 特殊处理：将 Claude Web Search 工具映射到 Codex web_search
|
||
if (tool.type === "web_search_20250305") {
|
||
return { type: "web_search" };
|
||
}
|
||
|
||
let name = tool.name;
|
||
if (shortMap[name]) {
|
||
name = shortMap[name];
|
||
} else {
|
||
name = this._shortenNameIfNeeded(name);
|
||
}
|
||
|
||
const convertedTool = {
|
||
type: 'function',
|
||
name: name,
|
||
description: tool.description || '',
|
||
parameters: this._normalizeToolParameters(tool.input_schema),
|
||
strict: false
|
||
};
|
||
|
||
// 移除 parameters.$schema
|
||
if (convertedTool.parameters && convertedTool.parameters.$schema) {
|
||
delete convertedTool.parameters.$schema;
|
||
}
|
||
|
||
return convertedTool;
|
||
});
|
||
codexRequest.tool_choice = "auto";
|
||
}
|
||
|
||
// 处理消息
|
||
if (claudeRequest.messages && Array.isArray(claudeRequest.messages)) {
|
||
for (const msg of claudeRequest.messages) {
|
||
const role = msg.role;
|
||
const content = msg.content;
|
||
|
||
let currentMessage = {
|
||
type: 'message',
|
||
role: role,
|
||
content: []
|
||
};
|
||
|
||
const flushMessage = () => {
|
||
if (currentMessage.content.length > 0) {
|
||
codexRequest.input.push({ ...currentMessage });
|
||
currentMessage.content = [];
|
||
}
|
||
};
|
||
|
||
const appendTextContent = (text) => {
|
||
const partType = role === 'assistant' ? 'output_text' : 'input_text';
|
||
currentMessage.content.push({
|
||
type: partType,
|
||
text: text
|
||
});
|
||
};
|
||
|
||
const appendImageContent = (data, mediaType) => {
|
||
currentMessage.content.push({
|
||
type: 'input_image',
|
||
image_url: `data:${mediaType};base64,${data}`
|
||
});
|
||
};
|
||
|
||
if (Array.isArray(content)) {
|
||
for (const block of content) {
|
||
switch (block.type) {
|
||
case 'text':
|
||
appendTextContent(block.text);
|
||
break;
|
||
case 'image':
|
||
if (block.source) {
|
||
const data = block.source.data || block.source.base64 || '';
|
||
const mediaType = block.source.media_type || block.source.mime_type || 'application/octet-stream';
|
||
if (data) {
|
||
appendImageContent(data, mediaType);
|
||
}
|
||
}
|
||
break;
|
||
case 'tool_use':
|
||
flushMessage();
|
||
let toolName = block.name;
|
||
if (shortMap[toolName]) {
|
||
toolName = shortMap[toolName];
|
||
} else {
|
||
toolName = this._shortenNameIfNeeded(toolName);
|
||
}
|
||
codexRequest.input.push({
|
||
type: 'function_call',
|
||
call_id: block.id,
|
||
name: toolName,
|
||
arguments: typeof block.input === 'string' ? block.input : JSON.stringify(block.input || {})
|
||
});
|
||
break;
|
||
case 'tool_result':
|
||
flushMessage();
|
||
codexRequest.input.push({
|
||
type: 'function_call_output',
|
||
call_id: block.tool_use_id,
|
||
output: typeof block.content === 'string' ? block.content : JSON.stringify(block.content || "")
|
||
});
|
||
break;
|
||
}
|
||
}
|
||
} else if (typeof content === 'string') {
|
||
appendTextContent(content);
|
||
}
|
||
flushMessage();
|
||
}
|
||
}
|
||
|
||
// 处理 thinking 转换
|
||
if (claudeRequest.thinking && claudeRequest.thinking.type === "enabled") {
|
||
const budgetTokens = claudeRequest.thinking.budget_tokens;
|
||
codexRequest.reasoning.effort = determineReasoningEffortFromBudget(budgetTokens);
|
||
} else if (claudeRequest.thinking && claudeRequest.thinking.type === "disabled") {
|
||
codexRequest.reasoning.effort = determineReasoningEffortFromBudget(0);
|
||
}
|
||
|
||
// 注入 Codex 指令 (对应 末尾的特殊逻辑)
|
||
// 注意：这里需要检查是否需要注入 "EXECUTE ACCORDING TO THE FOLLOWING INSTRUCTIONS!!!"
|
||
// 通过 misc.GetCodexInstructionsEnabled() 判断，这里我们参考其逻辑
|
||
const shouldInjectInstructions = process.env.CODEX_INSTRUCTIONS_ENABLED === 'true'; // 假设环境变量控制
|
||
if (shouldInjectInstructions && codexRequest.input.length > 0) {
|
||
const firstInput = codexRequest.input[0];
|
||
const firstText = firstInput.content && firstInput.content[0] && firstInput.content[0].text;
|
||
const instructions = "EXECUTE ACCORDING TO THE FOLLOWING INSTRUCTIONS!!!";
|
||
if (firstText !== instructions) {
|
||
codexRequest.input.unshift({
|
||
type: 'message',
|
||
role: 'user',
|
||
content: [{
|
||
type: 'input_text',
|
||
text: instructions
|
||
}]
|
||
});
|
||
}
|
||
}
|
||
|
||
return codexRequest;
|
||
}
|
||
|
||
/**
|
||
* Claude请求 -> Grok请求
|
||
*/
|
||
toGrokRequest(claudeRequest) {
|
||
// 先转换为 OpenAI 格式，因为 Grok 兼容 OpenAI 格式
|
||
const openaiRequest = this.toOpenAIRequest(claudeRequest);
|
||
return {
|
||
...openaiRequest,
|
||
_isConverted: true
|
||
};
|
||
}
|
||
|
||
/**
|
||
* Claude响应 -> Codex响应 (实际上是 Codex 转 Claude)
|
||
*/
|
||
toCodexResponse(codexResponse, model) {
|
||
const content = [];
|
||
let stopReason = "end_turn";
|
||
|
||
if (codexResponse.response?.output) {
|
||
codexResponse.response.output.forEach(item => {
|
||
if (item.type === 'message' && item.content) {
|
||
const textPart = item.content.find(c => c.type === 'output_text');
|
||
if (textPart) content.push({ type: 'text', text: textPart.text });
|
||
} else if (item.type === 'reasoning' && item.summary) {
|
||
const textPart = item.summary.find(c => c.type === 'summary_text');
|
||
if (textPart) content.push({ type: 'thinking', thinking: textPart.text });
|
||
} else if (item.type === 'function_call') {
|
||
stopReason = "tool_use";
|
||
content.push({
|
||
type: 'tool_use',
|
||
id: item.call_id,
|
||
name: item.name,
|
||
input: typeof item.arguments === 'string' ? JSON.parse(item.arguments) : item.arguments
|
||
});
|
||
}
|
||
});
|
||
}
|
||
|
||
return {
|
||
id: codexResponse.response?.id || `msg_${uuidv4().replace(/-/g, '')}`,
|
||
type: "message",
|
||
role: "assistant",
|
||
model: model,
|
||
content: content,
|
||
stop_reason: stopReason,
|
||
usage: {
|
||
input_tokens: codexResponse.response?.usage?.input_tokens || 0,
|
||
output_tokens: codexResponse.response?.usage?.output_tokens || 0
|
||
}
|
||
};
|
||
}
|
||
|
||
/**
|
||
* Claude流式响应 -> Codex流式响应 (实际上是 Codex 转 Claude)
|
||
*/
|
||
toCodexStreamChunk(codexChunk, model) {
|
||
const type = codexChunk.type;
|
||
const resId = codexChunk.response?.id || 'default';
|
||
|
||
if (type === 'response.created') {
|
||
return {
|
||
type: "message_start",
|
||
message: {
|
||
id: codexChunk.response.id,
|
||
type: "message",
|
||
role: "assistant",
|
||
content: [],
|
||
model: model,
|
||
usage: { input_tokens: 0, output_tokens: 0 }
|
||
}
|
||
};
|
||
}
|
||
|
||
if (type === 'response.reasoning_summary_text.delta') {
|
||
return {
|
||
type: "content_block_delta",
|
||
index: 0,
|
||
delta: { type: "thinking_delta", thinking: codexChunk.delta }
|
||
};
|
||
}
|
||
|
||
if (type === 'response.output_text.delta') {
|
||
return {
|
||
type: "content_block_delta",
|
||
index: 0,
|
||
delta: { type: "text_delta", text: codexChunk.delta }
|
||
};
|
||
}
|
||
|
||
if (type === 'response.output_item.done' && codexChunk.item?.type === 'function_call') {
|
||
return [
|
||
{
|
||
type: "content_block_start",
|
||
index: 0,
|
||
content_block: {
|
||
type: "tool_use",
|
||
id: codexChunk.item.call_id,
|
||
name: codexChunk.item.name,
|
||
input: {}
|
||
}
|
||
},
|
||
{
|
||
type: "content_block_delta",
|
||
index: 0,
|
||
delta: {
|
||
type: "input_json_delta",
|
||
partial_json: typeof codexChunk.item.arguments === 'string' ? codexChunk.item.arguments : JSON.stringify(codexChunk.item.arguments)
|
||
}
|
||
},
|
||
{
|
||
type: "content_block_stop",
|
||
index: 0
|
||
}
|
||
];
|
||
}
|
||
|
||
if (type === 'response.completed') {
|
||
return [
|
||
{
|
||
type: "message_delta",
|
||
delta: { stop_reason: "end_turn" },
|
||
usage: {
|
||
input_tokens: codexChunk.response.usage?.input_tokens || 0,
|
||
output_tokens: codexChunk.response.usage?.output_tokens || 0
|
||
}
|
||
},
|
||
{ type: "message_stop" }
|
||
];
|
||
}
|
||
|
||
return null;
|
||
}
|
||
}
|
||
|
||
export default ClaudeConverter;
|