Add max tokens checkbox option for OpenAI compatible provider

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

@@ -5,6 +5,7 @@ import { OpenAiHandler } from "../openai"
 import { ApiHandlerOptions } from "../../../shared/api"
 import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI from "openai"
+import { openAiModelInfoSaneDefaults } from "@roo-code/types"
 
 const mockCreate = vitest.fn()
 
@@ -197,6 +198,113 @@ describe("OpenAiHandler", () => {
 			const callArgs = mockCreate.mock.calls[0][0]
 			expect(callArgs.reasoning_effort).toBeUndefined()
 		})
+
+		it("should include max_tokens when includeMaxTokens is true", async () => {
+			const optionsWithMaxTokens: ApiHandlerOptions = {
+				...mockOptions,
+				includeMaxTokens: true,
+				openAiCustomModelInfo: {
+					contextWindow: 128_000,
+					maxTokens: 4096,
+					supportsPromptCache: false,
+				},
+			}
+			const handlerWithMaxTokens = new OpenAiHandler(optionsWithMaxTokens)
+			const stream = handlerWithMaxTokens.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with max_tokens
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.max_completion_tokens).toBe(4096)
+		})
+
+		it("should not include max_tokens when includeMaxTokens is false", async () => {
+			const optionsWithoutMaxTokens: ApiHandlerOptions = {
+				...mockOptions,
+				includeMaxTokens: false,
+				openAiCustomModelInfo: {
+					contextWindow: 128_000,
+					maxTokens: 4096,
+					supportsPromptCache: false,
+				},
+			}
+			const handlerWithoutMaxTokens = new OpenAiHandler(optionsWithoutMaxTokens)
+			const stream = handlerWithoutMaxTokens.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called without max_tokens
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.max_completion_tokens).toBeUndefined()
+		})
+
+		it("should not include max_tokens when includeMaxTokens is undefined", async () => {
+			const optionsWithUndefinedMaxTokens: ApiHandlerOptions = {
+				...mockOptions,
+				// includeMaxTokens is not set, should not include max_tokens
+				openAiCustomModelInfo: {
+					contextWindow: 128_000,
+					maxTokens: 4096,
+					supportsPromptCache: false,
+				},
+			}
+			const handlerWithDefaultMaxTokens = new OpenAiHandler(optionsWithUndefinedMaxTokens)
+			const stream = handlerWithDefaultMaxTokens.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called without max_tokens
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.max_completion_tokens).toBeUndefined()
+		})
+
+		it("should use user-configured modelMaxTokens instead of model default maxTokens", async () => {
+			const optionsWithUserMaxTokens: ApiHandlerOptions = {
+				...mockOptions,
+				includeMaxTokens: true,
+				modelMaxTokens: 32000, // User-configured value
+				openAiCustomModelInfo: {
+					contextWindow: 128_000,
+					maxTokens: 4096, // Model's default value (should not be used)
+					supportsPromptCache: false,
+				},
+			}
+			const handlerWithUserMaxTokens = new OpenAiHandler(optionsWithUserMaxTokens)
+			const stream = handlerWithUserMaxTokens.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with user-configured modelMaxTokens (32000), not model default maxTokens (4096)
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.max_completion_tokens).toBe(32000)
+		})
+
+		it("should fallback to model default maxTokens when user modelMaxTokens is not set", async () => {
+			const optionsWithoutUserMaxTokens: ApiHandlerOptions = {
+				...mockOptions,
+				includeMaxTokens: true,
+				// modelMaxTokens is not set
+				openAiCustomModelInfo: {
+					contextWindow: 128_000,
+					maxTokens: 4096, // Model's default value (should be used as fallback)
+					supportsPromptCache: false,
+				},
+			}
+			const handlerWithoutUserMaxTokens = new OpenAiHandler(optionsWithoutUserMaxTokens)
+			const stream = handlerWithoutUserMaxTokens.createMessage(systemPrompt, messages)
+			// Consume the stream to trigger the API call
+			for await (const _chunk of stream) {
+			}
+			// Assert the mockCreate was called with model default maxTokens (4096) as fallback
+			expect(mockCreate).toHaveBeenCalled()
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs.max_completion_tokens).toBe(4096)
+		})
 	})
 
 	describe("error handling", () => {
@@ -336,6 +444,10 @@ describe("OpenAiHandler", () => {
 				},
 				{ path: "/models/chat/completions" },
 			)
+
+			// Verify max_tokens is NOT included when includeMaxTokens is not set
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("max_completion_tokens")
 		})
 
 		it("should handle non-streaming responses with Azure AI Inference Service", async () => {
@@ -378,6 +490,10 @@ describe("OpenAiHandler", () => {
 				},
 				{ path: "/models/chat/completions" },
 			)
+
+			// Verify max_tokens is NOT included when includeMaxTokens is not set
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("max_completion_tokens")
 		})
 
 		it("should handle completePrompt with Azure AI Inference Service", async () => {
@@ -391,6 +507,10 @@ describe("OpenAiHandler", () => {
 				},
 				{ path: "/models/chat/completions" },
 			)
+
+			// Verify max_tokens is NOT included when includeMaxTokens is not set
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("max_completion_tokens")
 		})
 	})
 
@@ -433,4 +553,225 @@ describe("OpenAiHandler", () => {
 			expect(lastCall[0]).not.toHaveProperty("stream_options")
 		})
 	})
+
+	describe("O3 Family Models", () => {
+		const o3Options = {
+			...mockOptions,
+			openAiModelId: "o3-mini",
+			openAiCustomModelInfo: {
+				contextWindow: 128_000,
+				maxTokens: 65536,
+				supportsPromptCache: false,
+				reasoningEffort: "medium" as "low" | "medium" | "high",
+			},
+		}
+
+		it("should handle O3 model with streaming and include max_completion_tokens when includeMaxTokens is true", async () => {
+			const o3Handler = new OpenAiHandler({
+				...o3Options,
+				includeMaxTokens: true,
+				modelMaxTokens: 32000,
+				modelTemperature: 0.5,
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3Handler.createMessage(systemPrompt, messages)
+			const chunks: any[] = []
+			for await (const chunk of stream) {
+				chunks.push(chunk)
+			}
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					model: "o3-mini",
+					messages: [
+						{
+							role: "developer",
+							content: "Formatting re-enabled\nYou are a helpful assistant.",
+						},
+						{ role: "user", content: "Hello!" },
+					],
+					stream: true,
+					stream_options: { include_usage: true },
+					reasoning_effort: "medium",
+					temperature: 0.5,
+					// O3 models do not support deprecated max_tokens but do support max_completion_tokens
+					max_completion_tokens: 32000,
+				}),
+				{},
+			)
+		})
+
+		it("should handle O3 model with streaming and exclude max_tokens when includeMaxTokens is false", async () => {
+			const o3Handler = new OpenAiHandler({
+				...o3Options,
+				includeMaxTokens: false,
+				modelTemperature: 0.7,
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3Handler.createMessage(systemPrompt, messages)
+			const chunks: any[] = []
+			for await (const chunk of stream) {
+				chunks.push(chunk)
+			}
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					model: "o3-mini",
+					messages: [
+						{
+							role: "developer",
+							content: "Formatting re-enabled\nYou are a helpful assistant.",
+						},
+						{ role: "user", content: "Hello!" },
+					],
+					stream: true,
+					stream_options: { include_usage: true },
+					reasoning_effort: "medium",
+					temperature: 0.7,
+				}),
+				{},
+			)
+
+			// Verify max_tokens is NOT included
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("max_completion_tokens")
+		})
+
+		it("should handle O3 model non-streaming with reasoning_effort and max_completion_tokens when includeMaxTokens is true", async () => {
+			const o3Handler = new OpenAiHandler({
+				...o3Options,
+				openAiStreamingEnabled: false,
+				includeMaxTokens: true,
+				modelTemperature: 0.3,
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3Handler.createMessage(systemPrompt, messages)
+			const chunks: any[] = []
+			for await (const chunk of stream) {
+				chunks.push(chunk)
+			}
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					model: "o3-mini",
+					messages: [
+						{
+							role: "developer",
+							content: "Formatting re-enabled\nYou are a helpful assistant.",
+						},
+						{ role: "user", content: "Hello!" },
+					],
+					reasoning_effort: "medium",
+					temperature: 0.3,
+					// O3 models do not support deprecated max_tokens but do support max_completion_tokens
+					max_completion_tokens: 65536, // Using default maxTokens from o3Options
+				}),
+				{},
+			)
+
+			// Verify stream is not set
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("stream")
+		})
+
+		it("should use default temperature of 0 when not specified for O3 models", async () => {
+			const o3Handler = new OpenAiHandler({
+				...o3Options,
+				// No modelTemperature specified
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3Handler.createMessage(systemPrompt, messages)
+			await stream.next()
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					temperature: 0, // Default temperature
+				}),
+				{},
+			)
+		})
+
+		it("should handle O3 model with Azure AI Inference Service respecting includeMaxTokens", async () => {
+			const o3AzureHandler = new OpenAiHandler({
+				...o3Options,
+				openAiBaseUrl: "https://test.services.ai.azure.com",
+				includeMaxTokens: false, // Should NOT include max_tokens
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3AzureHandler.createMessage(systemPrompt, messages)
+			await stream.next()
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					model: "o3-mini",
+				}),
+				{ path: "/models/chat/completions" },
+			)
+
+			// Verify max_tokens is NOT included when includeMaxTokens is false
+			const callArgs = mockCreate.mock.calls[0][0]
+			expect(callArgs).not.toHaveProperty("max_completion_tokens")
+		})
+
+		it("should NOT include max_tokens for O3 model with Azure AI Inference Service even when includeMaxTokens is true", async () => {
+			const o3AzureHandler = new OpenAiHandler({
+				...o3Options,
+				openAiBaseUrl: "https://test.services.ai.azure.com",
+				includeMaxTokens: true, // Should include max_tokens
+			})
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [
+				{
+					role: "user",
+					content: "Hello!",
+				},
+			]
+
+			const stream = o3AzureHandler.createMessage(systemPrompt, messages)
+			await stream.next()
+
+			expect(mockCreate).toHaveBeenCalledWith(
+				expect.objectContaining({
+					model: "o3-mini",
+					// O3 models do not support max_tokens
+				}),
+				{ path: "/models/chat/completions" },
+			)
+		})
+	})
 })