feat: add GPT-OSS-120B model to SambaNova provider

- Added GPT-OSS-120B to SambaNovaModelId type
- Added model configuration with 64K context window
- Added test coverage for the new model

Fixes #8185

packages/types/src/providers/sambanova.ts

@@ -10,6 +10,7 @@ export type SambaNovaModelId =
 	| "Llama-4-Maverick-17B-128E-Instruct"
 	| "Llama-3.3-Swallow-70B-Instruct-v0.4"
 	| "Qwen3-32B"
+	| "GPT-OSS-120B"
 
 export const sambaNovaDefaultModelId: SambaNovaModelId = "Meta-Llama-3.3-70B-Instruct"
 
@@ -87,4 +88,13 @@ export const sambaNovaModels = {
 		outputPrice: 0.8,
 		description: "Alibaba Qwen 3 32B model with 8K context window.",
 	},
+	"GPT-OSS-120B": {
+		maxTokens: 8192,
+		contextWindow: 65536,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.6,
+		outputPrice: 1.2,
+		description: "OpenAI GPT-OSS 120B model with 64K context window.",
+	},
 } as const satisfies Record<string, ModelInfo>

src/api/providers/__tests__/sambanova.spec.ts

@@ -55,6 +55,19 @@ describe("SambaNovaHandler", () => {
 		expect(model.info).toEqual(sambaNovaModels[testModelId])
 	})
 
+	it("should return GPT-OSS-120B model when specified", () => {
+		const testModelId: SambaNovaModelId = "GPT-OSS-120B"
+		const handlerWithModel = new SambaNovaHandler({
+			apiModelId: testModelId,
+			sambaNovaApiKey: "test-sambanova-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(sambaNovaModels[testModelId])
+		expect(model.info.contextWindow).toBe(65536)
+		expect(model.info.description).toContain("GPT-OSS 120B")
+	})
+
 	it("completePrompt method should return text from SambaNova API", async () => {
 		const expectedResponse = "This is a test response from SambaNova"
 		mockCreate.mockResolvedValueOnce({ choices: [{ message: { content: expectedResponse } }] })