fix: omit temperature parameter when not explicitly set for OpenAI Compatible providers (#7188)

* fix: omit temperature parameter when not explicitly set for OpenAI Compatible providers

- Modified OpenAiHandler to only include temperature when modelTemperature is defined
- Modified BaseOpenAiCompatibleProvider to only include temperature when modelTemperature is defined
- Added tests to verify temperature is omitted when undefined
- Updated existing tests to explicitly set temperature where needed

This allows backend services (LiteLLM, vLLM) to use their configured default temperatures
instead of being forced to use temperature=0 when "Use custom temperature" is unchecked.

Fixes #7187

* test: update tests to match new temperature handling behavior

- Remove temperature parameter expectations from provider tests
- Tests now expect temperature to be omitted when not explicitly set
- Aligns with PR #7188 changes to fix OpenAI Compatible provider behavior

---------

Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>

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

@@ -394,7 +394,6 @@ describe("ChutesHandler", () => {
 			expect.objectContaining({
 				model: modelId,
 				max_tokens: modelInfo.maxTokens,
-				temperature: 0.5,
 				messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
 				stream: true,
 				stream_options: { include_usage: true },

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

@@ -352,7 +352,6 @@ describe("FireworksHandler", () => {
 			expect.objectContaining({
 				model: modelId,
 				max_tokens: modelInfo.maxTokens,
-				temperature: 0.5,
 				messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
 				stream: true,
 				stream_options: { include_usage: true },

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

@@ -114,7 +114,11 @@ describe("GroqHandler", () => {
 	it("createMessage should pass correct parameters to Groq client", async () => {
 		const modelId: GroqModelId = "llama-3.1-8b-instant"
 		const modelInfo = groqModels[modelId]
-		const handlerWithModel = new GroqHandler({ apiModelId: modelId, groqApiKey: "test-groq-api-key" })
+		const handlerWithModel = new GroqHandler({
+			apiModelId: modelId,
+			groqApiKey: "test-groq-api-key",
+			modelTemperature: 0.5, // Explicitly set temperature for this test
+		})
 
 		mockCreate.mockImplementationOnce(() => {
 			return {
@@ -143,4 +147,75 @@ describe("GroqHandler", () => {
 			}),
 		)
 	})
+
+	it("should omit temperature when modelTemperature is undefined", async () => {
+		const modelId: GroqModelId = "llama-3.1-8b-instant"
+		const handlerWithoutTemp = new GroqHandler({
+			apiModelId: modelId,
+			groqApiKey: "test-groq-api-key",
+			// modelTemperature is not set
+		})
+
+		mockCreate.mockImplementationOnce(() => {
+			return {
+				[Symbol.asyncIterator]: () => ({
+					async next() {
+						return { done: true }
+					},
+				}),
+			}
+		})
+
+		const systemPrompt = "Test system prompt"
+		const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Test message" }]
+
+		const messageGenerator = handlerWithoutTemp.createMessage(systemPrompt, messages)
+		await messageGenerator.next()
+
+		expect(mockCreate).toHaveBeenCalledWith(
+			expect.objectContaining({
+				model: modelId,
+				messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
+				stream: true,
+			}),
+		)
+
+		// Verify temperature is NOT included
+		const callArgs = mockCreate.mock.calls[0][0]
+		expect(callArgs).not.toHaveProperty("temperature")
+	})
+
+	it("should include temperature when modelTemperature is explicitly set", async () => {
+		const modelId: GroqModelId = "llama-3.1-8b-instant"
+		const handlerWithTemp = new GroqHandler({
+			apiModelId: modelId,
+			groqApiKey: "test-groq-api-key",
+			modelTemperature: 0.7,
+		})
+
+		mockCreate.mockImplementationOnce(() => {
+			return {
+				[Symbol.asyncIterator]: () => ({
+					async next() {
+						return { done: true }
+					},
+				}),
+			}
+		})
+
+		const systemPrompt = "Test system prompt"
+		const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Test message" }]
+
+		const messageGenerator = handlerWithTemp.createMessage(systemPrompt, messages)
+		await messageGenerator.next()
+
+		expect(mockCreate).toHaveBeenCalledWith(
+			expect.objectContaining({
+				model: modelId,
+				temperature: 0.7,
+				messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
+				stream: true,
+			}),
+		)
+	})
 })

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

@@ -315,6 +315,71 @@ describe("OpenAiHandler", () => {
 			const callArgs = mockCreate.mock.calls[0][0]
 			expect(callArgs.max_completion_tokens).toBe(4096)
 		})
+
+		it("should omit temperature when modelTemperature is undefined", async () => {
+			const optionsWithoutTemperature: ApiHandlerOptions = {
+				...mockOptions,
+				// modelTemperature is not set, should not include temperature
+			}
+			const handlerWithoutTemperature = new OpenAiHandler(optionsWithoutTemperature)
+			const stream = handlerWithoutTemperature.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called without temperature
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("temperature")
+		})
+
+		it("should include temperature when modelTemperature is explicitly set to 0", async () => {
+			const optionsWithZeroTemperature: ApiHandlerOptions = {
+				...mockOptions,
+				modelTemperature: 0,
+			}
+			const handlerWithZeroTemperature = new OpenAiHandler(optionsWithZeroTemperature)
+			const stream = handlerWithZeroTemperature.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with temperature: 0
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.temperature).toBe(0)
+		})
+
+		it("should include temperature when modelTemperature is set to a non-zero value", async () => {
+			const optionsWithCustomTemperature: ApiHandlerOptions = {
+				...mockOptions,
+				modelTemperature: 0.7,
+			}
+			const handlerWithCustomTemperature = new OpenAiHandler(optionsWithCustomTemperature)
+			const stream = handlerWithCustomTemperature.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with temperature: 0.7
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.temperature).toBe(0.7)
+		})
+
+		it("should include DEEP_SEEK_DEFAULT_TEMPERATURE for deepseek-reasoner models when temperature is not set", async () => {
+			const deepseekOptions: ApiHandlerOptions = {
+				...mockOptions,
+				openAiModelId: "deepseek-reasoner",
+				// modelTemperature is not set
+			}
+			const deepseekHandler = new OpenAiHandler(deepseekOptions)
+			const stream = deepseekHandler.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with DEEP_SEEK_DEFAULT_TEMPERATURE (0.6)
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.temperature).toBe(0.6)
+		})
 	})
 
 	describe("error handling", () => {
@@ -450,7 +515,7 @@ describe("OpenAiHandler", () => {
 					],
 					stream: true,
 					stream_options: { include_usage: true },
-					temperature: 0,
+					// temperature should be omitted when not set
 				},
 				{ path: "/models/chat/completions" },
 			)

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

@@ -350,7 +350,7 @@ describe("RooHandler", () => {
 	})
 
 	describe("temperature and model configuration", () => {
-		it("should use default temperature of 0.7", async () => {
+		it("should omit temperature when not explicitly set", async () => {
 			handler = new RooHandler(mockOptions)
 			const stream = handler.createMessage(systemPrompt, messages)
 			for await (const _chunk of stream) {
@@ -358,8 +358,8 @@ describe("RooHandler", () => {
 			}
 
 			expect(mockCreate).toHaveBeenCalledWith(
-				expect.objectContaining({
-					temperature: 0.7,
+				expect.not.objectContaining({
+					temperature: expect.anything(),
 				}),
 			)
 		})

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

@@ -144,7 +144,6 @@ describe("SambaNovaHandler", () => {
 			expect.objectContaining({
 				model: modelId,
 				max_tokens: modelInfo.maxTokens,
-				temperature: 0.7,
 				messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
 				stream: true,
 				stream_options: { include_usage: true },

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

@@ -220,7 +220,6 @@ describe("ZAiHandler", () => {
 				expect.objectContaining({
 					model: modelId,
 					max_tokens: modelInfo.maxTokens,
-					temperature: ZAI_DEFAULT_TEMPERATURE,
 					messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]),
 					stream: true,
 					stream_options: { include_usage: true },

src/api/providers/base-openai-compatible-provider.ts

@@ -72,17 +72,19 @@ export abstract class BaseOpenAiCompatibleProvider<ModelName extends string>
 			info: { maxTokens: max_tokens },
 		} = this.getModel()
 
-		const temperature = this.options.modelTemperature ?? this.defaultTemperature
-
 		const params: OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming = {
 			model,
 			max_tokens,
-			temperature,
 			messages: [{ role: "system", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
 			stream: true,
 			stream_options: { include_usage: true },
 		}
 
+		// Only include temperature if explicitly set
+		if (this.options.modelTemperature !== undefined) {
+			params.temperature = this.options.modelTemperature
+		}
+
 		return this.client.chat.completions.create(params)
 	}
 

src/api/providers/openai.ts

@@ -157,13 +157,20 @@ export class OpenAiHandler extends BaseProvider implements SingleCompletionHandl
 
 			const requestOptions: OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming = {
 				model: modelId,
-				temperature: this.options.modelTemperature ?? (deepseekReasoner ? DEEP_SEEK_DEFAULT_TEMPERATURE : 0),
 				messages: convertedMessages,
 				stream: true as const,
 				...(isGrokXAI ? {} : { stream_options: { include_usage: true } }),
 				...(reasoning && reasoning),
 			}
 
+			// Only include temperature if explicitly set
+			if (this.options.modelTemperature !== undefined) {
+				requestOptions.temperature = this.options.modelTemperature
+			} else if (deepseekReasoner) {
+				// DeepSeek Reasoner has a specific default temperature
+				requestOptions.temperature = DEEP_SEEK_DEFAULT_TEMPERATURE
+			}
+
 			// Add max_tokens if needed
 			this.addMaxTokensIfNeeded(requestOptions, modelInfo)