Method createMessage

src/api/providers/vscode-lm.ts:365–506

(
		systemPrompt: string,
		messages: Anthropic.Messages.MessageParam[],
		metadata?: ApiHandlerCreateMessageMetadata,
	)

	}

	override async *createMessage(
		systemPrompt: string,
		messages: Anthropic.Messages.MessageParam[],
		metadata?: ApiHandlerCreateMessageMetadata,
	): ApiStream {
		// Ensure clean state before starting a new request
		this.ensureCleanState()
		const client: vscode.LanguageModelChat = await this.getClient()

		// Process messages
		const cleanedMessages = messages.map((msg) => ({
			...msg,
			content: this.cleanMessageContent(msg.content),
		}))

		// Convert Anthropic messages to VS Code LM messages
		const vsCodeLmMessages: vscode.LanguageModelChatMessage[] = [
			vscode.LanguageModelChatMessage.Assistant(systemPrompt),
			...convertToVsCodeLmMessages(cleanedMessages),
		]

		// Initialize cancellation token for the request
		this.currentRequestCancellation = new vscode.CancellationTokenSource()

		// Calculate input tokens before starting the stream
		const totalInputTokens: number = await this.calculateTotalInputTokens(vsCodeLmMessages)

		// Accumulate the text and count at the end of the stream to reduce token counting overhead.
		let accumulatedText: string = ""

		try {
			// Create the response stream with required options
			const requestOptions: vscode.LanguageModelChatRequestOptions = {
				justification: `Roo Code would like to use '${client.name}' from '${client.vendor}', Click 'Allow' to proceed.`,
				tools: convertToVsCodeLmTools(metadata?.tools ?? []),
			}

			const response: vscode.LanguageModelChatResponse = await client.sendRequest(
				vsCodeLmMessages,
				requestOptions,
				this.currentRequestCancellation.token,
			)

			// Consume the stream and handle both text and tool call chunks
			for await (const chunk of response.stream) {
				if (chunk instanceof vscode.LanguageModelTextPart) {
					// Validate text part value
					if (typeof chunk.value !== "string") {
						console.warn("Roo Code <Language Model API>: Invalid text part value received:", chunk.value)
						continue
					}

					accumulatedText += chunk.value
					yield {
						type: "text",
						text: chunk.value,
					}
				} else if (chunk instanceof vscode.LanguageModelToolCallPart) {