merge: integrate origin/master (v0.5.50) into gitea/new_feature
- Resolve conflicts in chatCore handlers: keep apiKey/streamErrorPatterns from the details-filters feature, adopt origin's stripContinuityFields, customToolNames, cache-inclusive usage accounting, and Responses-API SSE→JSON conversion - Adopt origin's provider usage handlers (codebuddy-intl, qoder creds) and modality detection (audio/video inputs) - Keep requestDetails apiKey column (schema v2) + masked key persistence Co-authored-by: CommandCodeBot <noreply@commandcode.ai>
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@@ -9,6 +9,7 @@ import { parseSSEToOpenAIResponse } from "./sseToJsonHandler.js";
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import { buildRequestDetail, extractRequestConfig, extractUsageFromResponse, saveUsageStats, formatDoneLine } from "./requestDetail.js";
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import { appendRequestLog, saveRequestDetail } from "@/lib/usageDb.js";
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import { decloakToolNames } from "../../utils/claudeCloaking.js";
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import { ROLE, RESPONSES_ITEM } from "../../translator/schema/index.js";
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function parseToolArguments(value) {
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if (!value) return {};
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@@ -60,11 +61,93 @@ function openAICompletionToClaudeMessage(responseBody) {
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};
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}
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/**
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* Convert an OpenAI Chat Completions non-streaming response body into the
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* OpenAI Responses API shape. Used when a Responses-format client (e.g. Codex)
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* is routed to a Chat Completions upstream and `stream:false` — the streaming
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* path already emits Responses events, but the JSON path returned a raw
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* `chat.completion` body, so tool_calls were invisible to Responses clients.
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*/
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function extractCustomToolInput(argumentsValue) {
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const argumentsText = typeof argumentsValue === "string" ? argumentsValue : JSON.stringify(argumentsValue || {});
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try {
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const parsed = JSON.parse(argumentsText);
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if (parsed && typeof parsed === "object" && typeof parsed.input === "string") return parsed.input;
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} catch { /* raw freeform input */ }
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return argumentsText;
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}
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function openAICompletionToResponses(responseBody, customToolNames = null) {
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const choice = responseBody?.choices?.[0];
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if (!choice) return responseBody;
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const message = choice.message || {};
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const output = [];
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// Reasoning → a reasoning item (summary text), mirroring the streaming path.
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const reasoning = message.reasoning_content || message.reasoning;
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if (typeof reasoning === "string" && reasoning.length > 0) {
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output.push({
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type: RESPONSES_ITEM.REASONING,
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summary: [{ type: RESPONSES_ITEM.SUMMARY_TEXT, text: reasoning }],
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});
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}
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// Assistant text → a message item with output_text content.
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const text = typeof message.content === "string" ? message.content : "";
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if (text.length > 0) {
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output.push({
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type: RESPONSES_ITEM.MESSAGE,
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role: ROLE.ASSISTANT,
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content: [{ type: RESPONSES_ITEM.OUTPUT_TEXT, text, annotations: [] }],
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});
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}
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// tool_calls → function_call/custom_tool_call items (Responses-native tool shape).
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for (const tc of message.tool_calls || []) {
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const fn = tc.function || {};
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const custom = customToolNames?.has(fn.name);
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output.push({
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type: custom ? RESPONSES_ITEM.CUSTOM_TOOL_CALL : RESPONSES_ITEM.FUNCTION_CALL,
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id: `${custom ? "ctc" : "fc"}_${tc.id || ""}`,
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call_id: tc.id || "",
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name: fn.name || "",
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...(custom
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? { input: extractCustomToolInput(fn.arguments) }
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: { arguments: typeof fn.arguments === "string" ? fn.arguments : JSON.stringify(fn.arguments || {}) }),
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});
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}
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const usage = responseBody.usage || {};
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const status = choice.finish_reason === "tool_calls" ? "completed" : (choice.finish_reason === "stop" ? "completed" : (choice.finish_reason || "completed"));
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return {
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id: `resp_${responseBody.id || ""}`.replace(/^resp_chatcmpl-/, "resp_"),
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object: "response",
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created_at: responseBody.created || Math.floor(Date.now() / 1000),
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model: responseBody.model || "unknown",
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status,
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background: false,
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error: null,
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output,
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usage: {
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input_tokens: usage.prompt_tokens || usage.input_tokens || 0,
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output_tokens: usage.completion_tokens || usage.output_tokens || 0,
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total_tokens: usage.total_tokens || (usage.prompt_tokens || 0) + (usage.completion_tokens || 0),
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},
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};
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}
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/**
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* Translate non-streaming response body from provider format → OpenAI format.
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*/
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export function translateNonStreamingResponse(responseBody, targetFormat, sourceFormat) {
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export function translateNonStreamingResponse(responseBody, targetFormat, sourceFormat, customToolNames = null) {
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if (targetFormat === sourceFormat) return responseBody;
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// Provider responded in OpenAI Chat Completions shape but the client speaks
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// Responses API — convert so tool_calls/text surface as Responses `output`.
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if (targetFormat === FORMATS.OPENAI && sourceFormat === FORMATS.OPENAI_RESPONSES) {
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return openAICompletionToResponses(responseBody, customToolNames);
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}
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if (targetFormat === FORMATS.OPENAI && sourceFormat === FORMATS.CLAUDE) {
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return openAICompletionToClaudeMessage(responseBody);
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}
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@@ -198,7 +281,7 @@ export function translateNonStreamingResponse(responseBody, targetFormat, source
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/**
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* Handle non-streaming response from provider.
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*/
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export async function handleNonStreamingResponse({ providerResponse, provider, model, sourceFormat, targetFormat, body, stream, translatedBody, finalBody, requestStartTime, connectionId, apiKey, clientRawRequest, onRequestSuccess, reqLogger, toolNameMap, trackDone, appendLog, pxpipe, reqTag, log }) {
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export async function handleNonStreamingResponse({ providerResponse, provider, model, sourceFormat, targetFormat, body, stream, translatedBody, finalBody, requestStartTime, connectionId, apiKey, clientRawRequest, onRequestSuccess, reqLogger, toolNameMap, customToolNames, trackDone, appendLog, pxpipe, reqTag, log }) {
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trackDone();
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const contentType = providerResponse.headers.get("content-type") || "";
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let responseBody;
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@@ -239,9 +322,12 @@ export async function handleNonStreamingResponse({ providerResponse, provider, m
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if (log?.line) log.line(reqTag, "📊", formatDoneLine({ usage, latency: { total: Date.now() - requestStartTime } }));
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const translatedResponse = needsTranslation(targetFormat, sourceFormat)
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? translateNonStreamingResponse(responseBody, targetFormat, sourceFormat)
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? translateNonStreamingResponse(responseBody, targetFormat, sourceFormat, customToolNames)
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: responseBody;
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const isClaudeMessageResponse = sourceFormat === FORMATS.CLAUDE && translatedResponse?.type === "message";
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// Responses-format translation produces a `object:"response"` body with no
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// `choices`; skip the Chat-Completions-specific post-processing below for it.
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const isResponsesResponse = sourceFormat === FORMATS.OPENAI_RESPONSES && translatedResponse?.object === "response";
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// Fix finish_reason for tool_calls: some providers return non-standard values (e.g. "other")
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if (translatedResponse?.choices?.[0]) {
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@@ -254,13 +340,13 @@ export async function handleNonStreamingResponse({ providerResponse, provider, m
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}
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// Ensure OpenAI-required fields
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if (!isClaudeMessageResponse) {
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if (!isClaudeMessageResponse && !isResponsesResponse) {
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if (!translatedResponse.object) translatedResponse.object = "chat.completion";
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if (!translatedResponse.created) translatedResponse.created = Math.floor(Date.now() / 1000);
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}
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// Strip Azure-specific fields
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if (!isClaudeMessageResponse) {
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if (!isClaudeMessageResponse && !isResponsesResponse) {
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delete translatedResponse.prompt_filter_results;
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if (translatedResponse?.choices) {
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for (const choice of translatedResponse.choices) delete choice.content_filter_results;
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@@ -274,7 +360,7 @@ export async function handleNonStreamingResponse({ providerResponse, provider, m
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// Strip reasoning_content only when content is non-empty.
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// When content is empty (e.g. thinking models that used all tokens for reasoning),
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// reasoning_content is the only useful output and must be preserved.
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if (!isClaudeMessageResponse && translatedResponse?.choices) {
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if (!isClaudeMessageResponse && !isResponsesResponse && translatedResponse?.choices) {
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for (const choice of translatedResponse.choices) {
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if (choice?.message?.reasoning_content && choice.message.content) {
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delete choice.message.reasoning_content;
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