feat(openai): add GPT-5.6 Sol/Terra/Luna models

packages/types/src/providers/index.ts

@@ -40,6 +40,7 @@ import { litellmDefaultModelId } from "./lite-llm.js"
 import { mistralDefaultModelId } from "./mistral.js"
 import { moonshotDefaultModelId } from "./moonshot.js"
 import { openAiCodexDefaultModelId } from "./openai-codex.js"
+import { openAiNativeDefaultModelId } from "./openai.js"
 import { openRouterDefaultModelId } from "./openrouter.js"
 import { poeDefaultModelId } from "./poe.js"
 import { qwenCodeDefaultModelId } from "./qwen-code.js"
@@ -96,7 +97,7 @@ export function getProviderDefaultModelId(
 		case "zai":
 			return options?.isChina ? mainlandZAiDefaultModelId : internationalZAiDefaultModelId
 		case "openai-native":
-			return "gpt-4o" // Based on openai-native patterns
+			return openAiNativeDefaultModelId
 		case "openai-codex":
 			return openAiCodexDefaultModelId
 		case "mistral":

packages/types/src/providers/openai.ts

@@ -3,9 +3,76 @@ import type { ModelInfo } from "../model.js"
 // https://openai.com/api/pricing/
 export type OpenAiNativeModelId = keyof typeof openAiNativeModels
 
-export const openAiNativeDefaultModelId: OpenAiNativeModelId = "gpt-5.1-codex-max"
+export const openAiNativeDefaultModelId: OpenAiNativeModelId = "gpt-5.6-sol"
 
 export const openAiNativeModels = {
+	"gpt-5.6-sol": {
+		maxTokens: 128000,
+		contextWindow: 1_050_000,
+		includedTools: ["apply_patch"],
+		excludedTools: ["apply_diff", "write_to_file"],
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: ["none", "low", "medium", "high", "xhigh", "max"],
+		reasoningEffort: "high",
+		inputPrice: 5.0,
+		outputPrice: 30.0,
+		cacheReadsPrice: 0.5,
+		longContextPricing: {
+			thresholdTokens: 272_000,
+			inputPriceMultiplier: 2,
+			outputPriceMultiplier: 1.5,
+			appliesToServiceTiers: ["default", "flex"],
+		},
+		supportsVerbosity: true,
+		supportsTemperature: false,
+		description:
+			"GPT-5.6 Sol: OpenAI's flagship model for frontier reasoning, complex coding, and multi-step agentic tasks",
+	},
+	"gpt-5.6-terra": {
+		maxTokens: 128000,
+		contextWindow: 1_050_000,
+		includedTools: ["apply_patch"],
+		excludedTools: ["apply_diff", "write_to_file"],
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: ["none", "low", "medium", "high", "xhigh", "max"],
+		reasoningEffort: "medium",
+		inputPrice: 2.5,
+		outputPrice: 15.0,
+		cacheReadsPrice: 0.25,
+		longContextPricing: {
+			thresholdTokens: 272_000,
+			inputPriceMultiplier: 2,
+			outputPriceMultiplier: 1.5,
+			appliesToServiceTiers: ["default", "flex"],
+		},
+		supportsVerbosity: true,
+		supportsTemperature: false,
+		description: "GPT-5.6 Terra: Balanced model for everyday coding, reasoning, and agentic tasks",
+	},
+	"gpt-5.6-luna": {
+		maxTokens: 128000,
+		contextWindow: 1_050_000,
+		includedTools: ["apply_patch"],
+		excludedTools: ["apply_diff", "write_to_file"],
+		supportsImages: true,
+		supportsPromptCache: true,
+		supportsReasoningEffort: ["none", "low", "medium", "high", "xhigh", "max"],
+		reasoningEffort: "low",
+		inputPrice: 1.0,
+		outputPrice: 6.0,
+		cacheReadsPrice: 0.1,
+		longContextPricing: {
+			thresholdTokens: 272_000,
+			inputPriceMultiplier: 2,
+			outputPriceMultiplier: 1.5,
+			appliesToServiceTiers: ["default", "flex"],
+		},
+		supportsVerbosity: true,
+		supportsTemperature: false,
+		description: "GPT-5.6 Luna: Fast, cost-efficient model optimized for speed and everyday use",
+	},
 	"gpt-5.1-codex-max": {
 		maxTokens: 128000,
 		contextWindow: 400000,

src/api/providers/__tests__/openai-native.spec.ts

@@ -284,6 +284,24 @@ describe("OpenAiNativeHandler", () => {
 			expect(modelInfo.info.reasoningEffort).toBe("medium")
 		})
 
+		it("should return GPT-5.6 Sol model info when selected", () => {
+			const solHandler = new OpenAiNativeHandler({
+				...mockOptions,
+				apiModelId: "gpt-5.6-sol",
+			})
+
+			const modelInfo = solHandler.getModel()
+			expect(modelInfo.id).toBe("gpt-5.6-sol")
+			expect(modelInfo.info.maxTokens).toBe(128000)
+			expect(modelInfo.info.contextWindow).toBe(1_050_000)
+			expect(modelInfo.info.supportsVerbosity).toBe(true)
+			expect(modelInfo.info.supportsReasoningEffort).toEqual(["none", "low", "medium", "high", "xhigh", "max"])
+			expect(modelInfo.info.reasoningEffort).toBe("high")
+			expect(modelInfo.info.inputPrice).toBe(5.0)
+			expect(modelInfo.info.outputPrice).toBe(30.0)
+			expect(modelInfo.info.cacheReadsPrice).toBe(0.5)
+		})
+
 		it("should return GPT-5.4 model info when selected", () => {
 			const gpt54Handler = new OpenAiNativeHandler({
 				...mockOptions,
@@ -356,7 +374,7 @@ describe("OpenAiNativeHandler", () => {
 				openAiNativeApiKey: "test-api-key",
 			})
 			const modelInfo = handlerWithoutModel.getModel()
-			expect(modelInfo.id).toBe("gpt-5.1-codex-max") // Default model
+			expect(modelInfo.id).toBe("gpt-5.6-sol") // Default model
 			expect(modelInfo.info).toBeDefined()
 		})
 	})
@@ -805,6 +823,46 @@ describe("OpenAiNativeHandler", () => {
 			)
 		})
 
+		it("should support max reasoning effort for GPT-5.6 Sol", async () => {
+			// Mock fetch for Responses API
+			const mockFetch = vitest.fn().mockResolvedValue({
+				ok: true,
+				body: new ReadableStream({
+					start(controller) {
+						controller.enqueue(
+							new TextEncoder().encode(
+								'data: {"type":"response.output_item.added","item":{"type":"text","text":"Max effort"}}\n\n',
+							),
+						)
+						controller.enqueue(new TextEncoder().encode("data: [DONE]\n\n"))
+						controller.close()
+					},
+				}),
+			})
+			global.fetch = mockFetch as any
+
+			// Mock SDK to fail
+			mockResponsesCreate.mockRejectedValue(new Error("SDK not available"))
+
+			handler = new OpenAiNativeHandler({
+				...mockOptions,
+				apiModelId: "gpt-5.6-sol",
+				reasoningEffort: "max",
+			})
+
+			const stream = handler.createMessage(systemPrompt, messages)
+			for await (const _chunk of stream) {
+				// drain
+			}
+
+			expect(mockFetch).toHaveBeenCalledWith(
+				"https://api.openai.com/v1/responses",
+				expect.objectContaining({
+					body: expect.stringContaining('"effort":"max"'),
+				}),
+			)
+		})
+
 		it("should omit reasoning when selection is 'disable'", async () => {
 			// Mock fetch for Responses API
 			const mockFetch = vitest.fn().mockResolvedValue({

src/api/providers/fetchers/__tests__/openrouter.spec.ts

@@ -471,6 +471,27 @@ describe("OpenRouter API", () => {
 			expect(result.supportsReasoningEffort).toEqual(["none", "low", "medium", "high", "xhigh"])
 		})
 
+		it("mirrors reasoning-effort capability array (incl. max) for openai/gpt-5.6-* ids", () => {
+			const mockModel = {
+				name: "GPT-5.6 Sol",
+				description: "Test model",
+				context_length: 1_050_000,
+				max_completion_tokens: 128000,
+				pricing: { prompt: "0.000005", completion: "0.00003", input_cache_read: "0.0000005" },
+			}
+
+			const result = parseOpenRouterModel({
+				id: "openai/gpt-5.6-sol",
+				model: mockModel,
+				inputModality: ["text", "image"],
+				outputModality: ["text"],
+				maxTokens: 128000,
+				supportedParameters: ["reasoning", "max_tokens", "tools"],
+			})
+
+			expect(result.supportsReasoningEffort).toEqual(["none", "low", "medium", "high", "xhigh", "max"])
+		})
+
 		it("leaves supportsReasoningEffort as boolean for openai ids not in static defs", () => {
 			const mockModel = {
 				name: "GPT-5.5 Future",