LLMs
LLM Gemini
Language Model from Google supporting Gemini models
Category: LLMs · Plans: Trial, Starter, Pro, Premium, Enterprise · Type: GeminiLLM
Inputs#
| Field | Type | Required | Default | What it does |
|---|---|---|---|---|
| Input | Text | No | {input} | The message to send to the LLM. Use {input} for connected step output, or {node_id.output_name} for specific outputs. |
| System Prompt | Text | No | You are a helpful assistant | System message to define the LLM’s role and behavior. |
| Model Name | Text | No | gemini-3-flash-preview | The Google Gemini model to use Options: gemini-3-flash-preview, gemini-3.1-pro-preview, gemini-3.1-flash-lite, gemini-3.5-flash-lite, gemini-3.5-flash, gemini-3.6-flash, gemini-3.7-flash, gemini-3.8-flash |
| Max Output Tokens | Number | No | 8000 | Maximum tokens in the response |
| Temperature | Number | No | 0.7 | Sampling temperature (0.0-1.0) |
| Include Chat History | Yes/No | No | Off | Include conversation history in the LLM context |
| History Message Count | Number | No | 5 | Number of recent messages to include |
| History Max Tokens | Number | No | 800 | Maximum tokens for chat history |
| Message Types | Text | No | User Messages, AI Messages | Select which message types to include in chat history Options: User Messages, AI Messages, Tool Calls |
| Structured Output | Yes/No | No | Off | Enable structured JSON output with a defined schema |
| Output Schema | table | No | — | Define output fields: name, type (string/int/float/bool/list/dict), description |
| Images | Text | No | — | Images to be used in the input to the model. |
Outputs#
| Output | Type |
|---|---|
| Message | Any |
| Model | Any |
| Max Tokens | Any |
| Temperature | Any |
| Chat History Enabled | Any |
| Structured Output Enabled | Any |