update tooltips

Author: amakropoulos

Runtime/LLM.cs

@@ -25,63 +25,48 @@ public class LLM : MonoBehaviour
         [HideInInspector] public bool advancedOptions = false;
 
         /// <summary>Enable remote server functionality to allow external connections</summary>
-        [Tooltip("Enable remote server functionality to allow external connections")]
         [LocalRemote, SerializeField] private bool _remote = false;
 
         /// <summary>Port to use for the remote LLM server</summary>
-        [Tooltip("Port to use for the remote LLM server")]
         [Remote, SerializeField] private int _port = 13333;
 
         /// <summary>API key required for server access (leave empty to disable authentication)</summary>
-        [Tooltip("API key required for server access (leave empty to disable authentication)")]
         [SerializeField] private string _APIKey = "";
 
         /// <summary>SSL certificate for the remote LLM server</summary>
-        [Tooltip("SSL certificate for the remote LLM server")]
         [SerializeField] private string _SSLCert = "";
 
         /// <summary>SSL key for the remote LLM server</summary>
-        [Tooltip("SSL key for the remote LLM server")]
         [SerializeField] private string _SSLKey = "";
 
         /// <summary>Number of threads to use for processing (-1 = use all available threads)</summary>
-        [Tooltip("Number of threads to use for processing (-1 = use all available threads)")]
         [LLM, SerializeField] private int _numThreads = -1;
 
         /// <summary>Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported</summary>
-        [Tooltip("Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported")]
         [LLM, SerializeField] private int _numGPULayers = 0;
 
         /// <summary>Number of prompts that can be processed in parallel (-1 = auto-detect from clients)</summary>
-        [Tooltip("Number of prompts that can be processed in parallel (-1 = auto-detect from clients)")]
         [LLM, SerializeField] private int _parallelPrompts = -1;
 
         /// <summary>Size of the prompt context in tokens (0 = use model's default context size)</summary>
-        [Tooltip("Size of the prompt context in tokens (0 = use model's default context size). This determines how much conversation history the model can remember.")]
         [DynamicRange("minContextLength", "maxContextLength", false), Model, SerializeField] private int _contextSize = 8192;
 
         /// <summary>Batch size for prompt processing (larger = more memory, potentially faster)</summary>
-        [Tooltip("Batch size for prompt processing (larger = more memory, potentially faster)")]
         [ModelAdvanced, SerializeField] private int _batchSize = 512;
 
         /// <summary>LLM model file path (.gguf format)</summary>
-        [Tooltip("LLM model file path (.gguf format)")]
         [ModelAdvanced, SerializeField] private string _model = "";
 
         /// <summary>Enable flash attention optimization (requires compatible model)</summary>
-        [Tooltip("Enable flash attention optimization (requires compatible model)")]
         [ModelExtras, SerializeField] private bool _flashAttention = false;
 
         /// <summary>Enable LLM reasoning ("thinking" mode)</summary>
-        [Tooltip("Enable LLM reasoning ('thinking' mode)")]
         [ModelAdvanced, SerializeField] private bool _reasoning = false;
 
         /// <summary>LORA adapter model paths (.gguf format), separated by commas</summary>
-        [Tooltip("LORA adapter model paths (.gguf format), separated by commas")]
         [ModelAdvanced, SerializeField] private string _lora = "";
 
         /// <summary>Weights for LORA adapters, separated by commas (default: 1.0 for each)</summary>
-        [Tooltip("Weights for LORA adapters, separated by commas (default: 1.0 for each)")]
         [ModelAdvanced, SerializeField] private string _loraWeights = "";
 
         /// <summary>Persist this LLM GameObject across scene transitions</summary>
@@ -288,6 +273,7 @@ public string SSLKey
         public LLMService llmService { get; private set; }
 
         /// <summary>Model architecture name (e.g., "llama", "mistral")</summary>
+        [Tooltip("Model architecture name (e.g., "llama", "mistral")")]
         public string architecture => llmlib?.architecture;
 
         /// <summary>True if this model only supports embeddings (no text generation)</summary>

Runtime/LLMAgent.cs

@@ -21,27 +21,23 @@ public class LLMAgent : LLMClient
     {
         #region Inspector Fields
         /// <summary>Filename for saving chat history (saved in persistentDataPath)</summary>
-        [Tooltip("Filename for saving chat history (saved in Application.persistentDataPath)")]
+        [Tooltip("Filename for saving chat history (saved in persistentDataPath)")]
         [LLM] public string save = "";
 
         /// <summary>Debug LLM prompts</summary>
         [Tooltip("Debug LLM prompts")]
         [LLM] public bool debugPrompt = false;
 
         /// <summary>Server slot to use for processing (affects caching behavior)</summary>
-        [Tooltip("Server slot to use for processing (affects caching behavior)")]
         [ModelAdvanced, SerializeField] protected int _slot = -1;
 
         /// <summary>Role name for user messages in conversation</summary>
-        [Tooltip("Role name for user messages in conversation")]
         [Chat, SerializeField] protected string _userRole = "user";
 
         /// <summary>Role name for AI assistant messages in conversation</summary>
-        [Tooltip("Role name for AI assistant messages in conversation")]
         [Chat, SerializeField] protected string _assistantRole = "assistant";
 
         /// <summary>System prompt that defines the AI's personality and behavior</summary>
-        [Tooltip("System prompt that defines the AI's personality and behavior")]
         [TextArea(5, 10), Chat, SerializeField]
         protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.";
         #endregion

Runtime/LLMClient.cs

@@ -25,31 +25,24 @@ public class LLMClient : MonoBehaviour
         [HideInInspector] public bool advancedOptions = false;
 
         /// <summary>Use remote LLM server instead of local instance</summary>
-        [Tooltip("Use remote LLM server instead of local instance")]
         [LocalRemote, SerializeField] protected bool _remote;
 
         /// <summary>Local LLM GameObject to connect to</summary>
-        [Tooltip("Local LLM GameObject to connect to")]
         [Local, SerializeField] protected LLM _llm;
 
         /// <summary>API key for remote server authentication</summary>
-        [Tooltip("API key for remote server authentication")]
         [Remote, SerializeField] protected string _APIKey;
 
         /// <summary>Hostname or IP address of remote LLM server</summary>
-        [Tooltip("Hostname or IP address of remote LLM server")]
         [Remote, SerializeField] protected string _host = "localhost";
 
         /// <summary>Port number of remote LLM server</summary>
-        [Tooltip("Port number of remote LLM server")]
         [Remote, SerializeField] protected int _port = 13333;
 
         /// <summary>Number of retries of remote LLM server</summary>
-        [Tooltip("Number of retries of remote LLM server")]
         [Remote, SerializeField] protected int numRetries = 5;
 
         /// <summary>Grammar constraints for output formatting (GBNF or JSON schema format)</summary>
-        [Tooltip("Grammar constraints for output formatting (GBNF or JSON schema format)")]
         [ModelAdvanced, TextArea(1, 10), SerializeField] protected string _grammar = "";
 
         // Completion Parameters