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440 lines
13 KiB
JavaScript
440 lines
13 KiB
JavaScript
/**
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* Responses API Transformer
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* Converts OpenAI Chat Completions SSE to Codex Responses API SSE format
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* Can be used in both Next.js and Cloudflare Workers
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*/
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import fs from "fs";
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import path from "path";
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// Create log directory for responses (Node.js only)
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export function createResponsesLogger(model, logsDir = null) {
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// Skip logging in worker environment (no fs)
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if (typeof fs.mkdirSync !== "function") {
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return null;
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}
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const timestamp = new Date().toISOString().replace(/[:.]/g, "").slice(0, 15);
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const uniqueId = Math.random().toString(36).slice(2, 8);
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const baseDir = logsDir || (typeof process !== "undefined" ? process.cwd() : ".");
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const logDir = path.join(baseDir, "logs", `responses_${model}_${timestamp}_${uniqueId}`);
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try {
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fs.mkdirSync(logDir, { recursive: true });
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} catch {
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return null;
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}
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let inputEvents = [];
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let outputEvents = [];
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return {
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logInput: (event) => {
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inputEvents.push(event);
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},
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logOutput: (event) => {
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outputEvents.push(event);
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},
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flush: () => {
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try {
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fs.writeFileSync(path.join(logDir, "1_input_stream.txt"), inputEvents.join("\n"));
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fs.writeFileSync(path.join(logDir, "2_output_stream.txt"), outputEvents.join("\n"));
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} catch (e) {
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console.log("[RESPONSES] Failed to write logs:", e.message);
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}
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}
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};
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}
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/**
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* Create TransformStream that converts Chat Completions SSE to Responses API SSE
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* @param {Object} logger - Optional logger instance
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* @returns {TransformStream}
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*/
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export function createResponsesApiTransformStream(logger = null) {
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const state = {
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seq: 0,
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responseId: `resp_${Date.now()}`,
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created: Math.floor(Date.now() / 1000),
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started: false,
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msgTextBuf: {},
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msgItemAdded: {},
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msgContentAdded: {},
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msgItemDone: {},
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reasoningId: "",
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reasoningIndex: -1,
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reasoningBuf: "",
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reasoningPartAdded: false,
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reasoningDone: false,
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inThinking: false,
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funcArgsBuf: {},
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funcNames: {},
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funcCallIds: {},
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funcArgsDone: {},
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funcItemDone: {},
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buffer: "",
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completedSent: false
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};
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const encoder = new TextEncoder();
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const nextSeq = () => ++state.seq;
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const emit = (controller, eventType, data) => {
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data.sequence_number = nextSeq();
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const output = `event: ${eventType}\ndata: ${JSON.stringify(data)}\n\n`;
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logger?.logOutput(output.trim());
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controller.enqueue(encoder.encode(output));
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};
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// Helper to start reasoning
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const startReasoning = (controller, idx) => {
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if (!state.reasoningId) {
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state.reasoningId = `rs_${state.responseId}_${idx}`;
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state.reasoningIndex = idx;
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emit(controller, "response.output_item.added", {
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type: "response.output_item.added",
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output_index: idx,
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item: {
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id: state.reasoningId,
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type: "reasoning",
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summary: []
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}
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});
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emit(controller, "response.reasoning_summary_part.added", {
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type: "response.reasoning_summary_part.added",
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item_id: state.reasoningId,
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output_index: idx,
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summary_index: 0,
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part: { type: "summary_text", text: "" }
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});
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state.reasoningPartAdded = true;
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}
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};
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const emitReasoningDelta = (controller, text) => {
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if (!text) return;
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state.reasoningBuf += text;
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emit(controller, "response.reasoning_summary_text.delta", {
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type: "response.reasoning_summary_text.delta",
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item_id: state.reasoningId,
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output_index: state.reasoningIndex,
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summary_index: 0,
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delta: text
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});
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};
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const closeReasoning = (controller) => {
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if (state.reasoningId && !state.reasoningDone) {
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state.reasoningDone = true;
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emit(controller, "response.reasoning_summary_text.done", {
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type: "response.reasoning_summary_text.done",
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item_id: state.reasoningId,
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output_index: state.reasoningIndex,
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summary_index: 0,
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text: state.reasoningBuf
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});
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emit(controller, "response.reasoning_summary_part.done", {
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type: "response.reasoning_summary_part.done",
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item_id: state.reasoningId,
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output_index: state.reasoningIndex,
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summary_index: 0,
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part: { type: "summary_text", text: state.reasoningBuf }
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});
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emit(controller, "response.output_item.done", {
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type: "response.output_item.done",
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output_index: state.reasoningIndex,
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item: {
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id: state.reasoningId,
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type: "reasoning",
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summary: [{ type: "summary_text", text: state.reasoningBuf }]
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}
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});
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}
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};
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const closeMessage = (controller, idx) => {
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if (state.msgItemAdded[idx] && !state.msgItemDone[idx]) {
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state.msgItemDone[idx] = true;
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const fullText = state.msgTextBuf[idx] || "";
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const msgId = `msg_${state.responseId}_${idx}`;
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emit(controller, "response.output_text.done", {
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type: "response.output_text.done",
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item_id: msgId,
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output_index: parseInt(idx),
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content_index: 0,
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text: fullText,
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logprobs: []
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});
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emit(controller, "response.content_part.done", {
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type: "response.content_part.done",
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item_id: msgId,
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output_index: parseInt(idx),
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content_index: 0,
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part: { type: "output_text", annotations: [], logprobs: [], text: fullText }
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});
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emit(controller, "response.output_item.done", {
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type: "response.output_item.done",
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output_index: parseInt(idx),
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item: {
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id: msgId,
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type: "message",
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content: [{ type: "output_text", annotations: [], logprobs: [], text: fullText }],
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role: "assistant"
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}
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});
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}
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};
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const closeToolCall = (controller, idx) => {
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const callId = state.funcCallIds[idx];
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if (callId && !state.funcItemDone[idx]) {
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const args = state.funcArgsBuf[idx] || "{}";
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emit(controller, "response.function_call_arguments.done", {
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type: "response.function_call_arguments.done",
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item_id: `fc_${callId}`,
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output_index: parseInt(idx),
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arguments: args
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});
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emit(controller, "response.output_item.done", {
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type: "response.output_item.done",
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output_index: parseInt(idx),
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item: {
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id: `fc_${callId}`,
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type: "function_call",
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arguments: args,
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call_id: callId,
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name: state.funcNames[idx] || ""
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}
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});
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state.funcItemDone[idx] = true;
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state.funcArgsDone[idx] = true;
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}
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};
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const sendCompleted = (controller) => {
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if (!state.completedSent) {
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state.completedSent = true;
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emit(controller, "response.completed", {
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type: "response.completed",
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response: {
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id: state.responseId,
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object: "response",
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created_at: state.created,
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status: "completed",
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background: false,
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error: null
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}
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});
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}
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};
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return new TransformStream({
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transform(chunk, controller) {
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const text = new TextDecoder().decode(chunk);
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logger?.logInput(text.trim());
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state.buffer += text;
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const messages = state.buffer.split("\n\n");
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state.buffer = messages.pop() || "";
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for (const msg of messages) {
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if (!msg.trim()) continue;
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const dataMatch = msg.match(/^data:\s*(.+)$/m);
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if (!dataMatch) continue;
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const dataStr = dataMatch[1].trim();
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if (dataStr === "[DONE]") continue;
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let parsed;
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try {
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parsed = JSON.parse(dataStr);
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} catch {
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continue;
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}
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if (!parsed.choices?.length) continue;
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const choice = parsed.choices[0];
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const idx = choice.index || 0;
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const delta = choice.delta || {};
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// Emit initial events
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if (!state.started) {
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state.started = true;
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state.responseId = parsed.id ? `resp_${parsed.id}` : state.responseId;
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emit(controller, "response.created", {
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type: "response.created",
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response: {
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id: state.responseId,
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object: "response",
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created_at: state.created,
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status: "in_progress",
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background: false,
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error: null,
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output: []
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}
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});
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emit(controller, "response.in_progress", {
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type: "response.in_progress",
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response: {
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id: state.responseId,
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object: "response",
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created_at: state.created,
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status: "in_progress"
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}
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});
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}
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// Handle reasoning_content (OpenAI native format)
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if (delta.reasoning_content) {
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startReasoning(controller, idx);
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emitReasoningDelta(controller, delta.reasoning_content);
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}
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// Handle text content (may contain <think> tags)
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if (delta.content) {
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let content = delta.content;
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if (content.includes("<think>")) {
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state.inThinking = true;
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content = content.replace("<think>", "");
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startReasoning(controller, idx);
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}
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if (content.includes("</think>")) {
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const parts = content.split("</think>");
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const thinkPart = parts[0];
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const textPart = parts.slice(1).join("</think>");
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if (thinkPart) emitReasoningDelta(controller, thinkPart);
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closeReasoning(controller);
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state.inThinking = false;
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content = textPart;
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}
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if (state.inThinking && content) {
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emitReasoningDelta(controller, content);
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continue;
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}
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// Regular text content
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if (content) {
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if (!state.msgItemAdded[idx]) {
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state.msgItemAdded[idx] = true;
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const msgId = `msg_${state.responseId}_${idx}`;
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emit(controller, "response.output_item.added", {
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type: "response.output_item.added",
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output_index: idx,
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item: { id: msgId, type: "message", content: [], role: "assistant" }
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});
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}
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if (!state.msgContentAdded[idx]) {
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state.msgContentAdded[idx] = true;
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emit(controller, "response.content_part.added", {
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type: "response.content_part.added",
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item_id: `msg_${state.responseId}_${idx}`,
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output_index: idx,
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content_index: 0,
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part: { type: "output_text", annotations: [], logprobs: [], text: "" }
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});
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}
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emit(controller, "response.output_text.delta", {
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type: "response.output_text.delta",
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item_id: `msg_${state.responseId}_${idx}`,
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output_index: idx,
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content_index: 0,
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delta: content,
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logprobs: []
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});
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if (!state.msgTextBuf[idx]) state.msgTextBuf[idx] = "";
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state.msgTextBuf[idx] += content;
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}
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}
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// Handle tool_calls
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if (delta.tool_calls) {
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closeMessage(controller, idx);
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for (const tc of delta.tool_calls) {
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const tcIdx = tc.index ?? 0;
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const newCallId = tc.id;
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const funcName = tc.function?.name;
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if (funcName) state.funcNames[tcIdx] = funcName;
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if (!state.funcCallIds[tcIdx] && newCallId) {
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state.funcCallIds[tcIdx] = newCallId;
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emit(controller, "response.output_item.added", {
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type: "response.output_item.added",
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output_index: tcIdx,
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item: {
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id: `fc_${newCallId}`,
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type: "function_call",
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arguments: "",
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call_id: newCallId,
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name: state.funcNames[tcIdx] || ""
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}
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});
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}
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if (!state.funcArgsBuf[tcIdx]) state.funcArgsBuf[tcIdx] = "";
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if (tc.function?.arguments) {
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const refCallId = state.funcCallIds[tcIdx] || newCallId;
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if (refCallId) {
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emit(controller, "response.function_call_arguments.delta", {
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type: "response.function_call_arguments.delta",
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item_id: `fc_${refCallId}`,
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output_index: tcIdx,
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delta: tc.function.arguments
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});
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}
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state.funcArgsBuf[tcIdx] += tc.function.arguments;
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}
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}
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}
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// Handle finish_reason
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if (choice.finish_reason) {
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for (const i in state.msgItemAdded) closeMessage(controller, i);
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closeReasoning(controller);
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for (const i in state.funcCallIds) closeToolCall(controller, i);
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sendCompleted(controller);
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}
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}
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},
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flush(controller) {
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for (const i in state.msgItemAdded) closeMessage(controller, i);
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closeReasoning(controller);
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for (const i in state.funcCallIds) closeToolCall(controller, i);
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sendCompleted(controller);
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logger?.logOutput("data: [DONE]");
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controller.enqueue(encoder.encode("data: [DONE]\n\n"));
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logger?.flush();
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}
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});
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}
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