Files
9router/open-sse/transformer/responsesTransformer.js

440 lines
13 KiB
JavaScript

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