Syrus AI Chat Model (Gemma 4)
AI-generatedSummary
Generate chat-based AI language model responses using the Syrus AI Gemma 4 model with configurable generation parameters.
Inputs
- Temperature — Controls randomness in the output; higher values produce more diverse results.
- Top P — Nucleus sampling parameter controlling diversity by limiting the token probability mass.
- Top K — Limits sampling to the top K tokens to control output variety.
- Max Output Tokens — Maximum length of the generated output in tokens.
Output shape
a single AI language model response message object containing the generated text and any triggered tool call metadata
Outputs include a text response wrapped in an AIMessage instance with an array of tool call objects (if any). There is no input data consumed; the node relies on internal prompts or previous context if implemented externally.