# LlmSamplingParams Sampling and generation parameters for controlling LLM text output `Goodmem.Client.Models.LlmSamplingParams` - `FrequencyPenalty` (`double?`): Frequency penalty; valid range depends on the configured provider JSON: `frequencyPenalty`. - `MaxTokens` (`int?`): Maximum tokens to generate (>0 if set; provider-dependent limits apply) JSON: `maxTokens`. - `PresencePenalty` (`double?`): Presence penalty; valid range depends on the configured provider JSON: `presencePenalty`. - `StopSequences` (`IReadOnlyList?`): Generation stop sequences; generation halts on exact match JSON: `stopSequences`. - `Temperature` (`double?`): Sampling temperature; valid range depends on the configured provider JSON: `temperature`. - `TopK` (`int?`): Top-k sampling limit (>0 if set; primarily for local/open-source models) JSON: `topK`. - `TopP` (`double?`): Nucleus sampling threshold 0.0-1.0 (smaller values focus on higher probability tokens) JSON: `topP`. [.NET](../../dotnet.md)