Delete transformers
Browse files- transformers/request-common.js +0 -88
- transformers/request-openai.js +0 -177
- transformers/response-anthropic.js +0 -138
- transformers/response-openai.js +0 -127
transformers/request-common.js
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@@ -1,88 +0,0 @@
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import { logDebug } from '../logger.js';
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import { getSystemPrompt, getUserAgent } from '../config.js';
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export function transformToCommon(openaiRequest) {
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logDebug('将 OpenAI 请求转换为通用格式');
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// 基本保持 OpenAI 格式,只在 messages 前面插入 system 消息
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const commonRequest = {
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...openaiRequest
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};
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const systemPrompt = getSystemPrompt();
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if (systemPrompt) {
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// 检查是否已有 system 消息
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const hasSystemMessage = commonRequest.messages?.some(m => m.role === 'system');
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if (hasSystemMessage) {
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// 如果已有 system 消息,在第一个 system 消息前插入我们的 system prompt
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commonRequest.messages = commonRequest.messages.map((msg, index) => {
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if (msg.role === 'system' && index === commonRequest.messages.findIndex(m => m.role === 'system')) {
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// 找到第一个 system 消息,前置我们的 prompt
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return {
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role: 'system',
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content: systemPrompt + (typeof msg.content === 'string' ? msg.content?.replace("You are Claude Code, Anthropic's official CLI for Claude.", 'you are bot.') : '')
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};
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}
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return msg;
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});
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} else {
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// 如果没有 system 消息,在 messages 数组最前面插入
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commonRequest.messages = [
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{
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role: 'system',
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content: systemPrompt
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},
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...(commonRequest.messages || [])
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];
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}
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}
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logDebug('已转换的通用请求', commonRequest);
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return commonRequest;
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}
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export function getCommonHeaders(authHeader, clientHeaders = {}) {
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// 如果未提供则生成唯一 ID
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const sessionId = clientHeaders['x-session-id'] || generateUUID();
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const messageId = clientHeaders['x-assistant-message-id'] || generateUUID();
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const headers = {
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'accept': 'application/json',
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'content-type': 'application/json',
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'authorization': authHeader || '',
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'x-api-provider': 'baseten',
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'x-factory-client': 'cli',
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'x-session-id': sessionId,
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'x-assistant-message-id': messageId,
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'user-agent': getUserAgent(),
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'connection': 'keep-alive'
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};
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// 使用默认值传递 Stainless SDK 头
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const stainlessDefaults = {
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'x-stainless-arch': 'x64',
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'x-stainless-lang': 'js',
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'x-stainless-os': 'MacOS',
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'x-stainless-runtime': 'node',
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'x-stainless-retry-count': '0',
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'x-stainless-package-version': '5.23.2',
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'x-stainless-runtime-version': 'v24.3.0'
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};
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// 从客户端复制 Stainless 头或使用默认值
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Object.keys(stainlessDefaults).forEach(header => {
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headers[header] = clientHeaders[header] || stainlessDefaults[header];
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});
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return headers;
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}
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function generateUUID() {
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return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
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const r = Math.random() * 16 | 0;
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const v = c == 'x' ? r : (r & 0x3 | 0x8);
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return v.toString(16);
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});
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}
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transformers/request-openai.js
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@@ -1,177 +0,0 @@
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import { logDebug } from '../logger.js';
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import { getSystemPrompt, getModelReasoning, getUserAgent } from '../config.js';
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export function transformToOpenAI(openaiRequest) {
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logDebug('将 OpenAI 请求转换为目标 OpenAI 格式');
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const targetRequest = {
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model: openaiRequest.model,
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input: [],
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store: false
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};
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// 仅在客户端明确提供时添加 stream 参数
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if (openaiRequest.stream !== undefined) {
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targetRequest.stream = openaiRequest.stream;
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}
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// 将 max_tokens 转换为 max_output_tokens
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if (openaiRequest.max_tokens) {
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targetRequest.max_output_tokens = openaiRequest.max_tokens;
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} else if (openaiRequest.max_completion_tokens) {
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targetRequest.max_output_tokens = openaiRequest.max_completion_tokens;
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}
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// Transform messages to input
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if (openaiRequest.messages && Array.isArray(openaiRequest.messages)) {
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for (const msg of openaiRequest.messages) {
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const inputMsg = {
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role: msg.role,
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content: []
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};
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// Determine content type based on role
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// user role uses 'input_text', assistant role uses 'output_text'
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const textType = msg.role === 'assistant' ? 'output_text' : 'input_text';
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const imageType = msg.role === 'assistant' ? 'output_image' : 'input_image';
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if (typeof msg.content === 'string') {
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inputMsg.content.push({
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type: textType,
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text: msg.content?.replace("You are Claude Code, Anthropic's official CLI for Claude.", 'you are bot.')
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});
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} else if (Array.isArray(msg.content)) {
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for (const part of msg.content) {
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if (part.type === 'text') {
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inputMsg.content.push({
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type: textType,
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text: part.text?.replace("You are Claude Code, Anthropic's official CLI for Claude.", 'you are bot.')
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});
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} else if (part.type === 'image_url') {
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inputMsg.content.push({
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type: imageType,
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image_url: part.image_url
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});
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} else {
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// Pass through other types as-is
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inputMsg.content.push(part);
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}
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}
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}
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targetRequest.input.push(inputMsg);
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}
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}
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// Transform tools if present
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if (openaiRequest.tools && Array.isArray(openaiRequest.tools)) {
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targetRequest.tools = openaiRequest.tools.map(tool => ({
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...tool,
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strict: false
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}));
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}
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// Extract system message as instructions and prepend system prompt
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const systemPrompt = getSystemPrompt();
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const systemMessage = openaiRequest.messages?.find(m => m.role === 'system');
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if (systemMessage) {
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let userInstructions = '';
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if (typeof systemMessage.content === 'string') {
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userInstructions = systemMessage.content;
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} else if (Array.isArray(systemMessage.content)) {
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userInstructions = systemMessage.content
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.filter(p => p.type === 'text')
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.map(p => p.text)
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.join('\n');
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}
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targetRequest.instructions = systemPrompt + userInstructions;
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targetRequest.input = targetRequest.input.filter(m => m.role !== 'system');
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} else if (systemPrompt) {
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// If no user-provided system message, just add the system prompt
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targetRequest.instructions = systemPrompt;
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}
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// 根据模型配置处理 reasoning 字段
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const reasoningLevel = getModelReasoning(openaiRequest.model);
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if (reasoningLevel === 'auto') {
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// 自动模式:完全保留原始请求的 reasoning 字段
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if (openaiRequest.reasoning !== undefined) {
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targetRequest.reasoning = openaiRequest.reasoning;
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}
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// 如果原始请求没有 reasoning 字段,则不添加
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} else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
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// 特定级别:使用模型配置覆盖
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targetRequest.reasoning = {
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effort: reasoningLevel,
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summary: 'auto'
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};
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} else {
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// 关闭或无效:显式删除 reasoning 字段
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// 这确保删除原始请求中的任何 reasoning 字段
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delete targetRequest.reasoning;
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}
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// Pass through other parameters
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if (openaiRequest.temperature !== undefined) {
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targetRequest.temperature = openaiRequest.temperature;
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}
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if (openaiRequest.top_p !== undefined) {
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targetRequest.top_p = openaiRequest.top_p;
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}
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if (openaiRequest.presence_penalty !== undefined) {
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targetRequest.presence_penalty = openaiRequest.presence_penalty;
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}
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if (openaiRequest.frequency_penalty !== undefined) {
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targetRequest.frequency_penalty = openaiRequest.frequency_penalty;
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}
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if (openaiRequest.parallel_tool_calls !== undefined) {
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targetRequest.parallel_tool_calls = openaiRequest.parallel_tool_calls;
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}
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logDebug('已转换的目标 OpenAI 请求', targetRequest);
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return targetRequest;
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}
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export function getOpenAIHeaders(authHeader, clientHeaders = {}) {
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// 如果未提供则生成唯一 ID
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const sessionId = clientHeaders['x-session-id'] || generateUUID();
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const messageId = clientHeaders['x-assistant-message-id'] || generateUUID();
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const headers = {
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'content-type': 'application/json',
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'authorization': authHeader || '',
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'x-api-provider': 'azure_openai',
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'x-factory-client': 'cli',
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'x-session-id': sessionId,
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'x-assistant-message-id': messageId,
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'user-agent': getUserAgent(),
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'connection': 'keep-alive'
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};
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// Pass through Stainless SDK headers with defaults
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const stainlessDefaults = {
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'x-stainless-arch': 'x64',
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'x-stainless-lang': 'js',
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'x-stainless-os': 'MacOS',
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'x-stainless-runtime': 'node',
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'x-stainless-retry-count': '0',
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'x-stainless-package-version': '5.23.2',
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'x-stainless-runtime-version': 'v24.3.0'
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};
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// Copy Stainless headers from client or use defaults
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Object.keys(stainlessDefaults).forEach(header => {
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headers[header] = clientHeaders[header] || stainlessDefaults[header];
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});
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return headers;
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}
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function generateUUID() {
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return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
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const r = Math.random() * 16 | 0;
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const v = c == 'x' ? r : (r & 0x3 | 0x8);
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return v.toString(16);
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});
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}
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|
transformers/response-anthropic.js
DELETED
|
@@ -1,138 +0,0 @@
|
|
| 1 |
-
import { logDebug } from '../logger.js';
|
| 2 |
-
|
| 3 |
-
export class AnthropicResponseTransformer {
|
| 4 |
-
constructor(model, requestId) {
|
| 5 |
-
this.model = model;
|
| 6 |
-
this.requestId = requestId || `chatcmpl-${Date.now()}`;
|
| 7 |
-
this.created = Math.floor(Date.now() / 1000);
|
| 8 |
-
this.messageId = null;
|
| 9 |
-
this.currentIndex = 0;
|
| 10 |
-
}
|
| 11 |
-
|
| 12 |
-
parseSSELine(line) {
|
| 13 |
-
if (line.startsWith('event:')) {
|
| 14 |
-
return { type: 'event', value: line.slice(6).trim() };
|
| 15 |
-
}
|
| 16 |
-
if (line.startsWith('data:')) {
|
| 17 |
-
const dataStr = line.slice(5).trim();
|
| 18 |
-
try {
|
| 19 |
-
return { type: 'data', value: JSON.parse(dataStr) };
|
| 20 |
-
} catch (e) {
|
| 21 |
-
return { type: 'data', value: dataStr };
|
| 22 |
-
}
|
| 23 |
-
}
|
| 24 |
-
return null;
|
| 25 |
-
}
|
| 26 |
-
|
| 27 |
-
transformEvent(eventType, eventData) {
|
| 28 |
-
logDebug(`Anthropic 事件: ${eventType}`);
|
| 29 |
-
|
| 30 |
-
if (eventType === 'message_start') {
|
| 31 |
-
this.messageId = eventData.message?.id || this.requestId;
|
| 32 |
-
return this.createOpenAIChunk('', 'assistant', false);
|
| 33 |
-
}
|
| 34 |
-
|
| 35 |
-
if (eventType === 'content_block_start') {
|
| 36 |
-
return null;
|
| 37 |
-
}
|
| 38 |
-
|
| 39 |
-
if (eventType === 'content_block_delta') {
|
| 40 |
-
const text = eventData.delta?.text || '';
|
| 41 |
-
return this.createOpenAIChunk(text, null, false);
|
| 42 |
-
}
|
| 43 |
-
|
| 44 |
-
if (eventType === 'content_block_stop') {
|
| 45 |
-
return null;
|
| 46 |
-
}
|
| 47 |
-
|
| 48 |
-
if (eventType === 'message_delta') {
|
| 49 |
-
const stopReason = eventData.delta?.stop_reason;
|
| 50 |
-
if (stopReason) {
|
| 51 |
-
return this.createOpenAIChunk('', null, true, this.mapStopReason(stopReason));
|
| 52 |
-
}
|
| 53 |
-
return null;
|
| 54 |
-
}
|
| 55 |
-
|
| 56 |
-
if (eventType === 'message_stop') {
|
| 57 |
-
return this.createDoneSignal();
|
| 58 |
-
}
|
| 59 |
-
|
| 60 |
-
if (eventType === 'ping') {
|
| 61 |
-
return null;
|
| 62 |
-
}
|
| 63 |
-
|
| 64 |
-
return null;
|
| 65 |
-
}
|
| 66 |
-
|
| 67 |
-
createOpenAIChunk(content, role = null, finish = false, finishReason = null) {
|
| 68 |
-
const chunk = {
|
| 69 |
-
id: this.requestId,
|
| 70 |
-
object: 'chat.completion.chunk',
|
| 71 |
-
created: this.created,
|
| 72 |
-
model: this.model,
|
| 73 |
-
choices: [
|
| 74 |
-
{
|
| 75 |
-
index: 0,
|
| 76 |
-
delta: {},
|
| 77 |
-
finish_reason: finish ? finishReason : null
|
| 78 |
-
}
|
| 79 |
-
]
|
| 80 |
-
};
|
| 81 |
-
|
| 82 |
-
if (role) {
|
| 83 |
-
chunk.choices[0].delta.role = role;
|
| 84 |
-
}
|
| 85 |
-
if (content) {
|
| 86 |
-
chunk.choices[0].delta.content = content;
|
| 87 |
-
}
|
| 88 |
-
|
| 89 |
-
return `data: ${JSON.stringify(chunk)}\n\n`;
|
| 90 |
-
}
|
| 91 |
-
|
| 92 |
-
createDoneSignal() {
|
| 93 |
-
return 'data: [DONE]\n\n';
|
| 94 |
-
}
|
| 95 |
-
|
| 96 |
-
mapStopReason(anthropicReason) {
|
| 97 |
-
const mapping = {
|
| 98 |
-
'end_turn': 'stop',
|
| 99 |
-
'max_tokens': 'length',
|
| 100 |
-
'stop_sequence': 'stop',
|
| 101 |
-
'tool_use': 'tool_calls'
|
| 102 |
-
};
|
| 103 |
-
return mapping[anthropicReason] || 'stop';
|
| 104 |
-
}
|
| 105 |
-
|
| 106 |
-
async *transformStream(sourceStream) {
|
| 107 |
-
let buffer = '';
|
| 108 |
-
let currentEvent = null;
|
| 109 |
-
|
| 110 |
-
try {
|
| 111 |
-
for await (const chunk of sourceStream) {
|
| 112 |
-
buffer += chunk.toString();
|
| 113 |
-
const lines = buffer.split('\n');
|
| 114 |
-
buffer = lines.pop() || '';
|
| 115 |
-
|
| 116 |
-
for (const line of lines) {
|
| 117 |
-
if (!line.trim()) continue;
|
| 118 |
-
|
| 119 |
-
const parsed = this.parseSSELine(line);
|
| 120 |
-
if (!parsed) continue;
|
| 121 |
-
|
| 122 |
-
if (parsed.type === 'event') {
|
| 123 |
-
currentEvent = parsed.value;
|
| 124 |
-
} else if (parsed.type === 'data' && currentEvent) {
|
| 125 |
-
const transformed = this.transformEvent(currentEvent, parsed.value);
|
| 126 |
-
if (transformed) {
|
| 127 |
-
yield transformed;
|
| 128 |
-
}
|
| 129 |
-
currentEvent = null;
|
| 130 |
-
}
|
| 131 |
-
}
|
| 132 |
-
}
|
| 133 |
-
} catch (error) {
|
| 134 |
-
logDebug('Anthropic 流转换错误', error);
|
| 135 |
-
throw error;
|
| 136 |
-
}
|
| 137 |
-
}
|
| 138 |
-
}
|
|
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|
|
|
|
|
|
|
transformers/response-openai.js
DELETED
|
@@ -1,127 +0,0 @@
|
|
| 1 |
-
import { logDebug } from '../logger.js';
|
| 2 |
-
|
| 3 |
-
export class OpenAIResponseTransformer {
|
| 4 |
-
constructor(model, requestId) {
|
| 5 |
-
this.model = model;
|
| 6 |
-
this.requestId = requestId || `chatcmpl-${Date.now()}`;
|
| 7 |
-
this.created = Math.floor(Date.now() / 1000);
|
| 8 |
-
}
|
| 9 |
-
|
| 10 |
-
parseSSELine(line) {
|
| 11 |
-
if (line.startsWith('event:')) {
|
| 12 |
-
return { type: 'event', value: line.slice(6).trim() };
|
| 13 |
-
}
|
| 14 |
-
if (line.startsWith('data:')) {
|
| 15 |
-
const dataStr = line.slice(5).trim();
|
| 16 |
-
try {
|
| 17 |
-
return { type: 'data', value: JSON.parse(dataStr) };
|
| 18 |
-
} catch (e) {
|
| 19 |
-
return { type: 'data', value: dataStr };
|
| 20 |
-
}
|
| 21 |
-
}
|
| 22 |
-
return null;
|
| 23 |
-
}
|
| 24 |
-
|
| 25 |
-
transformEvent(eventType, eventData) {
|
| 26 |
-
logDebug(`目标 OpenAI 事件: ${eventType}`);
|
| 27 |
-
|
| 28 |
-
if (eventType === 'response.created') {
|
| 29 |
-
return this.createOpenAIChunk('', 'assistant', false);
|
| 30 |
-
}
|
| 31 |
-
|
| 32 |
-
if (eventType === 'response.in_progress') {
|
| 33 |
-
return null;
|
| 34 |
-
}
|
| 35 |
-
|
| 36 |
-
if (eventType === 'response.output_text.delta') {
|
| 37 |
-
const text = eventData.delta || eventData.text || '';
|
| 38 |
-
return this.createOpenAIChunk(text, null, false);
|
| 39 |
-
}
|
| 40 |
-
|
| 41 |
-
if (eventType === 'response.output_text.done') {
|
| 42 |
-
return null;
|
| 43 |
-
}
|
| 44 |
-
|
| 45 |
-
if (eventType === 'response.done') {
|
| 46 |
-
const status = eventData.response?.status;
|
| 47 |
-
let finishReason = 'stop';
|
| 48 |
-
|
| 49 |
-
if (status === 'completed') {
|
| 50 |
-
finishReason = 'stop';
|
| 51 |
-
} else if (status === 'incomplete') {
|
| 52 |
-
finishReason = 'length';
|
| 53 |
-
}
|
| 54 |
-
|
| 55 |
-
const finalChunk = this.createOpenAIChunk('', null, true, finishReason);
|
| 56 |
-
const done = this.createDoneSignal();
|
| 57 |
-
return finalChunk + done;
|
| 58 |
-
}
|
| 59 |
-
|
| 60 |
-
return null;
|
| 61 |
-
}
|
| 62 |
-
|
| 63 |
-
createOpenAIChunk(content, role = null, finish = false, finishReason = null) {
|
| 64 |
-
const chunk = {
|
| 65 |
-
id: this.requestId,
|
| 66 |
-
object: 'chat.completion.chunk',
|
| 67 |
-
created: this.created,
|
| 68 |
-
model: this.model,
|
| 69 |
-
choices: [
|
| 70 |
-
{
|
| 71 |
-
index: 0,
|
| 72 |
-
delta: {},
|
| 73 |
-
finish_reason: finish ? finishReason : null
|
| 74 |
-
}
|
| 75 |
-
]
|
| 76 |
-
};
|
| 77 |
-
|
| 78 |
-
if (role) {
|
| 79 |
-
chunk.choices[0].delta.role = role;
|
| 80 |
-
}
|
| 81 |
-
if (content) {
|
| 82 |
-
chunk.choices[0].delta.content = content;
|
| 83 |
-
}
|
| 84 |
-
|
| 85 |
-
return `data: ${JSON.stringify(chunk)}\n\n`;
|
| 86 |
-
}
|
| 87 |
-
|
| 88 |
-
createDoneSignal() {
|
| 89 |
-
return 'data: [DONE]\n\n';
|
| 90 |
-
}
|
| 91 |
-
|
| 92 |
-
async *transformStream(sourceStream) {
|
| 93 |
-
let buffer = '';
|
| 94 |
-
let currentEvent = null;
|
| 95 |
-
|
| 96 |
-
try {
|
| 97 |
-
for await (const chunk of sourceStream) {
|
| 98 |
-
buffer += chunk.toString();
|
| 99 |
-
const lines = buffer.split('\n');
|
| 100 |
-
buffer = lines.pop() || '';
|
| 101 |
-
|
| 102 |
-
for (const line of lines) {
|
| 103 |
-
if (!line.trim()) continue;
|
| 104 |
-
|
| 105 |
-
const parsed = this.parseSSELine(line);
|
| 106 |
-
if (!parsed) continue;
|
| 107 |
-
|
| 108 |
-
if (parsed.type === 'event') {
|
| 109 |
-
currentEvent = parsed.value;
|
| 110 |
-
} else if (parsed.type === 'data' && currentEvent) {
|
| 111 |
-
const transformed = this.transformEvent(currentEvent, parsed.value);
|
| 112 |
-
if (transformed) {
|
| 113 |
-
yield transformed;
|
| 114 |
-
}
|
| 115 |
-
}
|
| 116 |
-
}
|
| 117 |
-
}
|
| 118 |
-
|
| 119 |
-
if (currentEvent === 'response.done' || currentEvent === 'response.completed') {
|
| 120 |
-
yield this.createDoneSignal();
|
| 121 |
-
}
|
| 122 |
-
} catch (error) {
|
| 123 |
-
logDebug('OpenAI 流转换错误', error);
|
| 124 |
-
throw error;
|
| 125 |
-
}
|
| 126 |
-
}
|
| 127 |
-
}
|
|
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