FlowiseAI/Flowise · error · Error

LLM Node name is required!

Error message

LLM Node name is required!

What it means

The LLM Node requires a display name; the label is slugified (lowercased, spaces to underscores) into the LangGraph node identifier. Thrown at init when inputs.llmNodeName is empty.

Source

Thrown at packages/components/nodes/sequentialagents/LLMNode/LLMNode.ts:409

    }

    async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
        // Tools can be connected through ToolNodes
        let tools = nodeData.inputs?.tools
        tools = flatten(tools)

        let systemPrompt = nodeData.inputs?.systemMessagePrompt as string
        systemPrompt = transformBracesWithColon(systemPrompt)
        let humanPrompt = nodeData.inputs?.humanMessagePrompt as string
        humanPrompt = transformBracesWithColon(humanPrompt)
        const llmNodeLabel = nodeData.inputs?.llmNodeName as string
        const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[]
        const model = nodeData.inputs?.model as BaseChatModel
        const promptValuesStr = nodeData.inputs?.promptValues
        const output = nodeData.outputs?.output as string
        const llmStructuredOutput = nodeData.inputs?.llmStructuredOutput

        if (!llmNodeLabel) throw new Error('LLM Node name is required!')
        const llmNodeName = llmNodeLabel.toLowerCase().replace(/\s/g, '_').trim()

        if (!sequentialNodes || !sequentialNodes.length) throw new Error('Agent must have a predecessor!')

        let llmNodeInputVariablesValues: ICommonObject = {}
        if (promptValuesStr) {
            try {
                llmNodeInputVariablesValues = typeof promptValuesStr === 'object' ? promptValuesStr : JSON.parse(promptValuesStr)
            } catch (exception) {
                throw new Error("Invalid JSON in the LLM Node's Prompt Input Values: " + exception)
            }
        }
        llmNodeInputVariablesValues = handleEscapeCharacters(llmNodeInputVariablesValues, true)

        const startLLM = sequentialNodes[0].startLLM
        const llm = model || startLLM
        if (nodeData.inputs) nodeData.inputs.model = llm

View on GitHub (pinned to abe4a8601a)

Solutions

1. Enter a non-empty, unique name in the 'LLM Node Name' field.
2. Avoid name collisions with other sequential nodes (slugified ids must be unique in the graph).

const label = (nodeData.inputs?.llmNodeName ?? '').trim()
if (!label) throw new Error('Provide an LLM Node Name before init')

When it happens

Trigger: The 'LLM Node Name' parameter was left blank.

Common situations: New node added and saved before naming; name cleared during editing.

Related errors

• Execute Flow node name is required!
• Agent must have a predecessor!
• Custom function must have a predecessor!
• End must have a predecessor!
• Execute Flow must have a predecessor!

AI-assisted analysis of FlowiseAI/Flowise@abe4a8601a (2026-08-12). Data as JSON: /api/errors/a8dc2d6bb6fcbad3. Report an issue: GitHub.