Merge remote-tracking branch 'origin/master' into gitea/feature/end
Resolved conflicts taking origin/master (v0.5.55) as canonical, with local features re-applied: - runtime log level (LOG_LEVEL env + dashboard Settings → Logging, applied immediately and persisted across restarts) - free/noAuth provider enable/disable toggle via providerStrategies.enabled - parallel model testing (Test All Models / Test Selected Keys)
This commit is contained in:
@@ -31,11 +31,14 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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let currentAssistantMsg = null;
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let pendingToolResults = [];
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let pendingReasoning = "";
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let pendingReasoningEncrypted = "";
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const additionalTools = [];
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const customToolNames = new Set();
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const inputItems = normalizeResponsesInput(body.input);
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if (!inputItems) return body;
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// Extract reasoning text from summary[].text or encrypted_content fallback
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// Extract reasoning text from summary[].text (encrypted_content is continuity-only)
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const extractReasoningText = (item) => {
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if (Array.isArray(item.summary)) {
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const txt = item.summary.map(s => s?.text || "").filter(Boolean).join("\n");
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@@ -48,6 +51,13 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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return "";
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};
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const attachPendingReasoning = (msg) => {
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if (pendingReasoning) msg.reasoning_content = pendingReasoning;
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if (pendingReasoningEncrypted) msg.encrypted_content = pendingReasoningEncrypted;
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pendingReasoning = "";
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pendingReasoningEncrypted = "";
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};
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for (const item of inputItems) {
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// Determine item type - Droid CLI sends role-based items without 'type' field
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// Fallback: if no type but has role property, treat as message
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@@ -80,14 +90,15 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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})
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: item.content;
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const msg = { role: item.role, content };
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// Attach buffered reasoning to assistant turn (required by xiaomi-mimo thinking mode)
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if (item.role === ROLE.ASSISTANT && pendingReasoning) {
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msg.reasoning_content = pendingReasoning;
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// Attach buffered reasoning to assistant turn (required by xiaomi-mimo + store=false continuity)
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if (item.role === ROLE.ASSISTANT) attachPendingReasoning(msg);
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else {
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pendingReasoning = "";
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pendingReasoningEncrypted = "";
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}
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pendingReasoning = "";
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result.messages.push(msg);
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}
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else if (itemType === RESPONSES_ITEM.FUNCTION_CALL) {
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else if (itemType === RESPONSES_ITEM.FUNCTION_CALL || itemType === RESPONSES_ITEM.CUSTOM_TOOL_CALL) {
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// Start or append to assistant message with tool_calls
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if (!currentAssistantMsg) {
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currentAssistantMsg = {
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@@ -95,23 +106,24 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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content: null,
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tool_calls: []
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};
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if (pendingReasoning) {
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currentAssistantMsg.reasoning_content = pendingReasoning;
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pendingReasoning = "";
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}
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attachPendingReasoning(currentAssistantMsg);
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}
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// Skip items with empty/missing name — Codex/OpenAI reject nameless tool calls (#444)
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if (!item.name || typeof item.name !== "string" || item.name.trim() === "") continue;
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if (itemType === RESPONSES_ITEM.CUSTOM_TOOL_CALL) customToolNames.add(item.name);
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const toolInput = itemType === RESPONSES_ITEM.CUSTOM_TOOL_CALL
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? { input: typeof item.input === "string" ? item.input : JSON.stringify(item.input ?? "") }
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: item.arguments;
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currentAssistantMsg.tool_calls.push({
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id: item.call_id,
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type: OPENAI_BLOCK.FUNCTION,
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function: {
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name: item.name,
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arguments: item.arguments
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arguments: typeof toolInput === "string" ? toolInput : JSON.stringify(toolInput ?? {})
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}
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});
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}
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else if (itemType === RESPONSES_ITEM.FUNCTION_CALL_OUTPUT) {
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else if (itemType === RESPONSES_ITEM.FUNCTION_CALL_OUTPUT || itemType === RESPONSES_ITEM.CUSTOM_TOOL_CALL_OUTPUT) {
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// Flush assistant message first if exists
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if (currentAssistantMsg) {
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result.messages.push(currentAssistantMsg);
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@@ -131,10 +143,19 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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content: typeof item.output === "string" ? item.output : JSON.stringify(item.output)
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});
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}
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else if (itemType === RESPONSES_ITEM.ADDITIONAL_TOOLS) {
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if (Array.isArray(item.tools)) additionalTools.push(...item.tools);
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}
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else if (itemType === RESPONSES_ITEM.REASONING) {
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// Buffer reasoning text; attached to next assistant message/function_call
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// Buffer reasoning text; attached to next assistant message/function_call.
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// Also stash encrypted_content so a later openai→responses hop can restore
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// the store=false continuity blob (Grok CLI / Codex multi-turn).
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const txt = extractReasoningText(item);
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if (txt) pendingReasoning = pendingReasoning ? `${pendingReasoning}\n${txt}` : txt;
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if (typeof item.encrypted_content === "string" && item.encrypted_content) {
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// Prefer attaching to the next assistant message we create
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pendingReasoningEncrypted = item.encrypted_content;
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}
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continue;
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}
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}
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@@ -154,15 +175,45 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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// explicit `name` field and cannot be represented as Chat Completions function declarations.
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// Filter them out to avoid sending nameless functionDeclarations to downstream providers
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// such as Gemini, which strictly validates function names.
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if (body.tools && Array.isArray(body.tools)) {
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result.tools = body.tools
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const responseTools = [
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...(Array.isArray(body.tools) ? body.tools : []),
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...additionalTools,
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];
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if (responseTools.length > 0) {
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result.tools = responseTools
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.map(tool => {
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// Already in Chat Completions format: { type: "function", function: { name, ... } }
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if (tool.function) return tool;
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// Responses API function tool: { type: "function", name, description, parameters }
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// Only convert when a non-empty name is present; skip hosted tools without one.
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// Responses API function/custom tool: { type, name, description, parameters|format }.
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// Chat Completions has no freeform custom-tool declaration, so expose custom
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// tools as functions with one raw `input` string while retaining their names
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// in translator-only metadata for the response conversion.
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const name = tool.name;
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if (!name || typeof name !== "string" || name.trim() === "") return null;
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if (tool.type === "custom") {
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customToolNames.add(name);
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const formatHint = [tool.format?.syntax, tool.format?.definition].filter(Boolean).join("\n");
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return {
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type: OPENAI_BLOCK.FUNCTION,
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function: {
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name,
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description: [String(tool.description || ""), formatHint].filter(Boolean).join("\n\n"),
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parameters: {
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type: "object",
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properties: {
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input: {
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type: "string",
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description: "Raw freeform input for this custom tool"
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}
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},
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required: ["input"],
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additionalProperties: false
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}
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}
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};
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}
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// Responses API function tool: { type: "function", name, description, parameters }
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// Only convert when a non-empty name is present; skip hosted tools without one.
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return {
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type: OPENAI_BLOCK.FUNCTION,
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function: {
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@@ -175,6 +226,7 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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})
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.filter(Boolean);
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}
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if (customToolNames.size > 0) result._customToolNames = [...customToolNames];
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// Cleanup Responses API specific fields
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// Map Responses-only max_output_tokens to Chat max_tokens (avoid leaking unknown field upstream)
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@@ -188,7 +240,11 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
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delete result.include;
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delete result.prompt_cache_key;
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delete result.store;
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if (typeof result.reasoning?.effort === "string") {
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result.reasoning_effort = result.reasoning.effort;
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}
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delete result.reasoning;
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delete result.client_metadata;
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return result;
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}
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@@ -202,6 +258,43 @@ function normalizeToolParameters(params) {
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return params;
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}
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/**
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* Build a Responses `reasoning` input item from Chat Completions assistant fields.
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* Preserves encrypted blobs needed by store=false multi-turn (Grok CLI / Codex).
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* Returns null when the message has nothing useful to re-send.
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*/
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function buildReasoningInputItem(msg) {
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if (!msg || typeof msg !== "object") return null;
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const encrypted =
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(typeof msg.encrypted_content === "string" && msg.encrypted_content) ||
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(typeof msg.reasoning_encrypted_content === "string" && msg.reasoning_encrypted_content) ||
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(typeof msg.reasoning?.encrypted_content === "string" && msg.reasoning.encrypted_content) ||
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"";
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let summaryText = "";
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if (typeof msg.reasoning_content === "string" && msg.reasoning_content.trim()) {
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summaryText = msg.reasoning_content;
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} else if (typeof msg.reasoning === "string" && msg.reasoning.trim()) {
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summaryText = msg.reasoning;
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} else if (Array.isArray(msg.reasoning_details)) {
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summaryText = msg.reasoning_details
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.map((d) => (typeof d?.text === "string" ? d.text : typeof d?.content === "string" ? d.content : ""))
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.filter(Boolean)
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.join("\n");
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}
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if (!encrypted && !summaryText) return null;
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const item = { type: RESPONSES_ITEM.REASONING };
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if (summaryText) {
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item.summary = [{ type: RESPONSES_ITEM.SUMMARY_TEXT, text: summaryText }];
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}
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// encrypted_content is the continuity token for store=false backends
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if (encrypted) item.encrypted_content = encrypted;
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return item;
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}
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/**
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* Convert OpenAI Chat Completions to OpenAI Responses API format
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*/
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@@ -221,17 +314,26 @@ export function openaiToOpenAIResponsesRequest(model, body, stream, credentials)
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const messages = body.messages || [];
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for (const msg of messages) {
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if (msg.role === ROLE.SYSTEM) {
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// Use first system message as instructions
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if (msg.role === ROLE.SYSTEM || msg.role === ROLE.DEVELOPER) {
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// Use the first instruction-bearing message as instructions.
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// OpenAI recommends role="developer" for GPT-5/Codex as the system-level prompt.
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if (!hasSystemMessage) {
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result.instructions = typeof msg.content === "string" ? msg.content : "";
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hasSystemMessage = true;
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}
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continue; // Skip system messages in input
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continue; // Skip instruction messages in input
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}
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// Convert user/assistant messages to input items
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if (msg.role === ROLE.USER || msg.role === ROLE.ASSISTANT) {
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// Multi-turn continuity for store=false Responses backends (Codex / Grok CLI):
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// re-emit a reasoning item before the assistant message when the chat-format
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// history carried reasoning text and/or encrypted_content from a prior turn.
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if (msg.role === ROLE.ASSISTANT) {
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const reasoningItem = buildReasoningInputItem(msg);
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if (reasoningItem) result.input.push(reasoningItem);
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}
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const contentType = msg.role === ROLE.USER ? RESPONSES_ITEM.INPUT_TEXT : RESPONSES_ITEM.OUTPUT_TEXT;
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const content = typeof msg.content === "string"
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? [{ type: contentType, text: msg.content }]
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@@ -318,6 +420,8 @@ export function openaiToOpenAIResponsesRequest(model, body, stream, credentials)
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if (body.top_p !== undefined) result.top_p = body.top_p;
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if (body.reasoning !== undefined) result.reasoning = body.reasoning;
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if (body.reasoning_effort !== undefined) result.reasoning = { effort: body.reasoning_effort, summary: "auto" };
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if (body.service_tier !== undefined) result.service_tier = body.service_tier;
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if (body.prompt_cache_key !== undefined) result.prompt_cache_key = body.prompt_cache_key;
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return result;
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}
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