fix(translator): preserve Responses Lite tools across Chat providers

Codex Responses Lite clients routed to a chat-native OpenAI-compatible
provider lost tool use in three places: non-streaming Chat responses
leaked the raw chat.completion envelope instead of Responses output
items, internal reasoning continuity fields leaked into the outbound
Chat body causing some upstreams to reject the request, and the
Responses to Chat request translator ignored additional_tools,
custom_tool_call, and custom_tool_call_output items entirely.

Also fixes apiType (chat vs responses) for openai-compatible nodes
being resolved from the immutable provider ID instead of the stored
node config, so editing a node's API Type had no runtime effect.
This commit is contained in:
nguyenha935
2026-08-05 13:23:03 +07:00
committed by decolua
parent b11be8be0a
commit d06e0d26c6
17 changed files with 803 additions and 58 deletions

View File

@@ -4,6 +4,7 @@ import { HTTP_STATUS } from "../../config/runtimeConfig.js";
import { FORMATS } from "../../translator/formats.js";
import { PROVIDERS } from "../../config/providers.js";
import { buildRequestDetail, extractRequestConfig, saveUsageStats, formatDoneLine } from "./requestDetail.js";
import { ROLE, RESPONSES_ITEM } from "../../translator/schema/index.js";
// Responses-API providers (e.g. codex) may emit SSE without content-type + use Responses output shape
const isResponsesProvider = (p) => PROVIDERS[p]?.format === FORMATS.OPENAI_RESPONSES;
@@ -34,6 +35,76 @@ function pickAssistantMessageForChatCompletion(output) {
return { msgItem: last, textContent: textFromResponsesMessageItem(last) };
}
/**
* Convert an OpenAI Chat Completions JSON body into the Responses API shape.
* Inlined here (not imported from nonStreamingHandler.js) to avoid a circular
* import. Mirrors openAICompletionToResponses in nonStreamingHandler.js.
*/
function extractCustomToolInput(argumentsValue) {
const argumentsText = typeof argumentsValue === "string" ? argumentsValue : JSON.stringify(argumentsValue || {});
try {
const parsed = JSON.parse(argumentsText);
if (parsed && typeof parsed === "object" && typeof parsed.input === "string") return parsed.input;
} catch { /* raw freeform input */ }
return argumentsText;
}
function chatCompletionToResponses(responseBody, customToolNames = null) {
const choice = responseBody?.choices?.[0];
if (!choice) return responseBody;
const message = choice.message || {};
const output = [];
const reasoning = message.reasoning_content || message.reasoning;
if (typeof reasoning === "string" && reasoning.length > 0) {
output.push({
type: RESPONSES_ITEM.REASONING,
summary: [{ type: RESPONSES_ITEM.SUMMARY_TEXT, text: reasoning }],
});
}
const text = typeof message.content === "string" ? message.content : "";
if (text.length > 0) {
output.push({
type: RESPONSES_ITEM.MESSAGE,
role: ROLE.ASSISTANT,
content: [{ type: RESPONSES_ITEM.OUTPUT_TEXT, text, annotations: [] }],
});
}
for (const tc of message.tool_calls || []) {
const fn = tc.function || {};
const custom = customToolNames?.has(fn.name);
output.push({
type: custom ? RESPONSES_ITEM.CUSTOM_TOOL_CALL : RESPONSES_ITEM.FUNCTION_CALL,
id: `${custom ? "ctc" : "fc"}_${tc.id || ""}`,
call_id: tc.id || "",
name: fn.name || "",
...(custom
? { input: extractCustomToolInput(fn.arguments) }
: { arguments: typeof fn.arguments === "string" ? fn.arguments : JSON.stringify(fn.arguments || {}) }),
});
}
const usage = responseBody.usage || {};
return {
id: `resp_${responseBody.id || ""}`.replace(/^resp_chatcmpl-/, "resp_"),
object: "response",
created_at: responseBody.created || Math.floor(Date.now() / 1000),
model: responseBody.model || "unknown",
status: "completed",
background: false,
error: null,
output,
usage: {
input_tokens: usage.prompt_tokens || usage.input_tokens || 0,
output_tokens: usage.completion_tokens || usage.output_tokens || 0,
total_tokens: usage.total_tokens || (usage.prompt_tokens || 0) + (usage.completion_tokens || 0),
},
};
}
/**
* Parse OpenAI-style SSE text into a single chat completion JSON.
* Used when provider forces streaming but client wants non-streaming.
@@ -108,7 +179,7 @@ export function parseSSEToOpenAIResponse(rawSSE, fallbackModel) {
* Handle case: provider forced streaming but client wants JSON.
* Supports both Codex/Responses API SSE and standard Chat Completions SSE.
*/
export async function handleForcedSSEToJson({ providerResponse, sourceFormat, provider, model, body, stream, translatedBody, finalBody, requestStartTime, connectionId, apiKey, clientRawRequest, onRequestSuccess, trackDone, appendLog, reqTag, log }) {
export async function handleForcedSSEToJson({ providerResponse, sourceFormat, targetFormat, provider, model, body, stream, translatedBody, finalBody, requestStartTime, connectionId, apiKey, clientRawRequest, onRequestSuccess, customToolNames, trackDone, appendLog, reqTag, log }) {
const contentType = providerResponse.headers.get("content-type") || "";
const isSSE = contentType.includes("text/event-stream") || (contentType === "" && isResponsesProvider(provider));
if (!isSSE) return null; // not handled here
@@ -122,7 +193,10 @@ export async function handleForcedSSEToJson({ providerResponse, sourceFormat, pr
};
// Codex/Responses API SSE path
const isCodexResponsesApi = isResponsesProvider(provider) || sourceFormat === FORMATS.OPENAI_RESPONSES;
// Branch on the UPSTREAM format (targetFormat = format we spoke to the provider in),
// not the client format: a Responses-API client behind a chat-native forced-streaming
// provider still receives chat SSE chunks, which must go through the standard path.
const isCodexResponsesApi = isResponsesProvider(provider) || targetFormat === FORMATS.OPENAI_RESPONSES;
if (isCodexResponsesApi) {
try {
const jsonResponse = await convertResponsesStreamToJson(providerResponse.body);
@@ -267,7 +341,17 @@ export async function handleForcedSSEToJson({ providerResponse, sourceFormat, pr
}
}
return { success: true, response: new Response(JSON.stringify(parsed), { headers: { "Content-Type": "application/json", "Access-Control-Allow-Origin": "*" } }) };
// A Responses-format client (e.g. Codex) forced this provider to stream,
// but wants JSON back. parseSSEToOpenAIResponse yields a Chat Completions
// body; convert it to the Responses `output` shape so tool_calls are not
// lost on the non-streaming return path. Inlined (not imported from
// nonStreamingHandler.js) to avoid a circular import: nonStreamingHandler
// already imports parseSSEToOpenAIResponse from this module.
const finalBody = sourceFormat === FORMATS.OPENAI_RESPONSES
? chatCompletionToResponses(parsed, customToolNames)
: parsed;
return { success: true, response: new Response(JSON.stringify(finalBody), { headers: { "Content-Type": "application/json", "Access-Control-Allow-Origin": "*" } }) };
} catch (err) {
console.error("[ChatCore] Chat Completions SSE→JSON failed:", err);
return createErrorResult(HTTP_STATUS.BAD_GATEWAY, "Failed to convert streaming response to JSON");