> ## Documentation Index > Fetch the complete documentation index at: https://docs.inworld.ai/llms.txt > Use this file to discover all available pages before exploring further. # Inworld LLM Module [Overview](../overview) > Inworld LLM Module **Class:** `InworldLLMModule` | **Inherits from:** `InworldFrameworkModule` Module for Large Language Model (LLM) integration in the Inworld framework. Provides text generation capabilities using both remote and local AI models. ## Properties * [Provider](#provider) * [ModelName](#modelname) * [ModelPath](#modelpath) * [MaxToken](#maxtoken) * [MaxPromptLength](#maxpromptlength) * [Repetition](#repetition) * [Temperature](#temperature) * [TopP](#topp) * [Frequency](#frequency) * [Presence](#presence) ## Methods * [GenerateText](#generatetext) * [GenerateTextAsync](#generatetextasync) * [SetupTextGenerationConfig](#setuptextgenerationconfig) ## Reference LLM Module Config ### Provider Gets or sets the AI model provider (e.g., OpenAI, Anthropic). Used when connecting to remote LLM services. #### Returns **Type:** `string` **Description:** The provider name as a string. *** ### ModelName Gets or sets the specific model name to use for text generation. This should correspond to models available from the configured provider. #### Returns **Type:** `string` **Description:** The model name as a string. *** ### ModelPath Gets or sets the file path to a local LLM model. If not set, defaults to the framework's default LLM model path. #### Returns **Type:** `string` **Description:** The full file path to the local model. *** ### MaxToken Gets or sets the maximum number of tokens the model can generate in a single response. Value is automatically clamped between 1 and 2500. #### Returns **Type:** `int` **Description:** The maximum token count (1-2500). *** ### MaxPromptLength Gets or sets the maximum length of the input prompt in tokens. Value is automatically clamped between 1 and 2500. #### Returns **Type:** `int` **Description:** The maximum prompt length (1-2500). *** ### Repetition Gets or sets the repetition penalty factor. Higher values reduce the likelihood of repeating the same content. Value is automatically clamped between 0 and 1. #### Returns **Type:** `float` **Description:** The repetition penalty (0.0-1.0). *** ### Temperature Gets or sets the temperature for text generation. Higher values produce more creative/random output, lower values are more focused. Value is automatically clamped between 0 and 1. #### Returns **Type:** `float` **Description:** The temperature value (0.0-1.0). *** ### TopP Gets or sets the top-p (nucleus sampling) parameter. Controls diversity by only considering tokens with cumulative probability up to this value. Value is automatically clamped between 0 and 1. #### Returns **Type:** `float` **Description:** The top-p value (0.0-1.0). *** ### Frequency Gets or sets the frequency penalty factor. Reduces the likelihood of repeating frequently used tokens. Value is automatically clamped between 0 and 1. #### Returns **Type:** `float` **Description:** The frequency penalty (0.0-1.0). *** ### Presence Gets or sets the presence penalty factor. Encourages the model to talk about new topics by penalizing tokens that have already appeared. Value is automatically clamped between 0 and 1. #### Returns **Type:** `float` **Description:** The presence penalty (0.0-1.0). *** ### GenerateText Generates text synchronously using the configured LLM. This method blocks until the generation is complete. #### Parameters | Parameter | Type | Description | | --------- | -------- | ------------------------------------- | | text | `string` | The input text prompt for generation. | #### Returns **Type:** `string` **Description:** The generated text response, or empty string if generation fails. *** ### GenerateTextAsync Generates text asynchronously using the configured LLM. This method performs generation on a background thread for improved performance. #### Parameters | Parameter | Type | Description | | --------- | -------- | ------------------------------------- | | text | `string` | The input text prompt for generation. | #### Returns **Type:** `Awaitable` **Description:** A task that completes with the generated text response, or empty string if generation fails. *** ### SetupTextGenerationConfig Sets up and returns a text generation configuration instance based on current module settings. This method configures all text generation parameters including token limits, penalties, and sampling parameters. #### Returns **Type:** `TextGenerationConfig` **Description:** A configuration instance for text generation with current module settings. *** ## Serialized Fields The following fields are configurable in the Unity Inspector: ### Remote Configuration * **m\_Provider** (`string`) - The AI model provider (e.g., OpenAI, Anthropic) * **m\_ModelName** (`string`) - The specific model name to use for text generation ### Local Configuration * **m\_ModelPath** (`string`) - The file path to a local LLM model ### Text Configuration * **m\_MaxToken** (`int`) - Maximum number of tokens to generate (default: 100, range: 1-2500) * **m\_MaxPromptLength** (`int`) - Maximum length of input prompt in tokens (default: 1000, range: 1-2500) * **m\_TopP** (`float`) - Top-p (nucleus sampling) parameter (default: 0.95, range: 0-1) * **m\_Temperature** (`float`) - Temperature for text generation (default: 0.5, range: 0-1) ### Penalty Configuration * **m\_Repetition** (`float`) - Repetition penalty factor (default: 1.0, range: 0-1) * **m\_Frequency** (`float`) - Frequency penalty factor (default: 0.0, range: 0-1) * **m\_Presence** (`float`) - Presence penalty factor (default: 0.0, range: 0-1) ## Configuration Management ### Remote Configuration When using remote models, the module creates an `LLMRemoteConfig` with: * Provider name (if specified) * Model name (if specified) * API key from framework utilities ### Local Configuration When using local models, the module creates an `LLMLocalConfig` with: * Model path (resolved from StreamingAssets folder) * Device configuration from framework utilities ### Text Generation Configuration The `SetupTextGenerationConfig()` method configures: * Maximum token count * Repetition penalty * Top-p and temperature (with GPT-5 compatibility handling) * Maximum prompt length * Frequency and presence penalties ## Important Notes ### GPT-5 Compatibility Special handling is implemented for GPT-5 models where TopP and Temperature parameters are not applied. ***