Repository: n8n-io/n8n
File: packages/cli/src/chat/chat-execution-manager.ts (TypeScript)

Code before:
	private async getRunData(execution: IExecutionResponse, message: ChatMessage) {
		const { workflowData, mode: executionMode, data: runExecutionData } = execution;

		const result = await this.runNode(execution, message);

		if (isEngineRequest(result)) {
			throw new UnexpectedError("Can't handle actions inside the chat trigger.");
		}

		runExecutionData.executionData!.nodeExecutionStack[0].data.main = result ?? [
			[{ json: message }],
		];

		if (runExecutionData.executionData!.nodeExecutionStack[0].node.type === CHAT_TOOL_NODE_TYPE) {
			runExecutionData.waitTill = undefined;
			runExecutionData.executionData!.nodeExecutionStack[0].node.disabled = true;
			runExecutionData.executionData!.nodeExecutionStack[0].node.rewireOutputLogTo =
				NodeConnectionTypes.AiTool;

			const lastNodeExecuted = runExecutionData.resultData.lastNodeExecuted as string;
			const runDataArray = runExecutionData.resultData.runData[lastNodeExecuted];
			if (runDataArray?.length > 0) {
				const entryToPop = runDataArray[runDataArray.length - 1];
				// Preserve inputOverride so the LLM's input stays visible in logs after resume.
				const preservedInputOverride = entryToPop?.inputOverride;
				runDataArray.pop();
				if (preservedInputOverride) {
					runDataArray.push({
						startTime: 0,
						executionTime: 0,
						executionIndex: 0,
						source: entryToPop?.source ?? [],
						inputOverride: preservedInputOverride,
					});
				}
			}
		}

		let project: Project | undefined = undefined;
		try {
			project = await this.ownershipService.getWorkflowProjectCached(workflowData.id);
		} catch (error) {
			throw new NotFoundError('Cannot find workflow');
		}

		const runData: IWorkflowExecutionDataProcess = {
			executionMode,
			executionData: runExecutionData,
			pushRef: runExecutionData.pushRef,
			workflowData,
			pinData: runExecutionData.resultData.pinData,

Review comment (suggestion):
You can simple use pop to retrieve the element and remove it from the array.

```suggestion
				const entryToPop = runDataArray.pop();
				// Preserve inputOverride so the LLM's input stays visible in logs after resume.
				const preservedInputOverride = entryToPop?.inputOverride;
```

Can `runDataArray` actually have `undefined` as an entry? If not then .pop() can not return undefined here doe to the outer check `if (runDataArray?.length > 0) {`, which is not recognized by TS apparently, so instead of optional checks like `entryToPop?.inputOverride;` you could also do `const entryToPop = runDataArray.pop()!;` (with !) which will ensure that this entry is not undefined also for TS (it will throw an error if it's undefined afaik).

Code after:

	private async getRunData(execution: IExecutionResponse, message: ChatMessage) {
		const { workflowData, mode: executionMode, data: runExecutionData } = execution;

		const result = await this.runNode(execution, message);

		if (isEngineRequest(result)) {
			throw new UnexpectedError("Can't handle actions inside the chat trigger.");
		}

		runExecutionData.executionData!.nodeExecutionStack[0].data.main = result ?? [
			[{ json: message }],
		];

		if (runExecutionData.executionData!.nodeExecutionStack[0].node.type === CHAT_TOOL_NODE_TYPE) {
			runExecutionData.waitTill = undefined;
			runExecutionData.executionData!.nodeExecutionStack[0].node.disabled = true;
			runExecutionData.executionData!.nodeExecutionStack[0].node.rewireOutputLogTo =
				NodeConnectionTypes.AiTool;

			const lastNodeExecuted = runExecutionData.resultData.lastNodeExecuted as string;
			const runDataArray = runExecutionData.resultData.runData[lastNodeExecuted];
			if (runDataArray?.length) preserveInputOverride(runDataArray);
		}

		let project: Project | undefined = undefined;
		try {
			project = await this.ownershipService.getWorkflowProjectCached(workflowData.id);
		} catch (error) {
			throw new NotFoundError('Cannot find workflow');
		}

		const runData: IWorkflowExecutionDataProcess = {
			executionMode,
			executionData: runExecutionData,
			pushRef: runExecutionData.pushRef,
			workflowData,
			pinData: runExecutionData.resultData.pinData,
			projectId: project?.id,
		};

		return runData;
	}
}