fix: stop transcript leakage and repetition loops in Generic chat template

Backend (inference-server/compat.rs):
- PreparedPrompt now carries extra_stop_sequences injected by template
- Generic template injects User:/System:/Assistant:/Human: stop sequences
  to prevent the model from continuing the transcript after its reply
- Increased repeat_penalty 1.15→1.3 and repeat_last_n 256→512 to
  break repetition loops more aggressively

Backend (inference-server/routes.rs):
- Merge template extra_stop_sequences into sampler before inference

Frontend (chat.ts):
- Added 'System:' and 'Human:' to CHAT_TRANSCRIPT_STOP_SEQUENCES
- Extended TRANSCRIPT_LEAKAGE_PATTERN to include 'Human:'

Frontend (ChatView.tsx):
- buildApiMessages now strips leaked transcript from assistant messages
  before sending history back to the model
- Reduced history window to 20 messages to limit context pollution

BACKEND_DOCUMENTATION.md

@@ -0,0 +1,942 @@
+# Documentação Completa do Backend - ForgeLM
+
+## Sumário Executivo
+
+O ForgeLM é um sistema de inferência de LLMs locais composto por dois componentes principais:
+
+1. **HTTP API Server** (`inference-server`) - Servidor Axum que expõe endpoints compatíveis com OpenAI
+2. **Tauri Desktop Backend** - Backend do aplicativo desktop que gerencia o ciclo de vida do servidor
+
+---
+
+## Arquitetura Geral
+
+```
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                              ForgeLM Backend                                │
+├─────────────────────────────────────────────────────────────────────────────┤
+│                                                                             │
+│  ┌──────────────────────┐      ┌─────────────────────────────────────────┐  │
+│  │  Tauri App (Frontend)│      │  HTTP API Server (Axum)                 │  │
+│  │  - React + TypeScript│      │  - Port: 8080 (default)                 │  │
+│  │  - sql.js + localStorage│   │  - OpenAI-compatible API                │  │
+│  └──────────┬───────────┘      └──────────────┬──────────────────────────┘  │
+│             │                                  │                             │
+│             │ Tauri Commands                   │                             │
+│             ▼                                  │                             │
+│  ┌──────────────────────┐                     │                             │
+│  │  Tauri Backend       │◄────────────────────┘                             │
+│  │  - Runtime lifecycle │                    HTTP requests                  │
+│  │  - Model management  │                                                   │
+│  │  - GPU detection     │                                                   │
+│  └──────────┬───────────┘                                                   │
+│             │                                                               │
+│             │ Spawns Process                                                │
+│             ▼                                                               │
+│  ┌──────────────────────┐      ┌─────────────────────────────────────────┐  │
+│  │  inference-server    │      │  inference-core                         │  │
+│  │  (Binary Executable) │──────►  - Engine                              │  │
+│  │                      │      │  - GenerationSession                    │  │
+│  └──────────────────────┘      └──────────────┬──────────────────────────┘  │
+│                                               │                             │
+│                                               │ FFI                         │
+│                                               ▼                             │
+│                                      ┌─────────────────┐                    │
+│                                      │  llama-sys      │                    │
+│                                      │  (llama.dll)    │                    │
+│                                      └─────────────────┘                    │
+└─────────────────────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## 1. Crates e Estrutura do Workspace
+
+### Estrutura do Workspace
+
+```
+Cargo.toml (workspace root)
+├── crates/
+│   ├── llama-sys/          # FFI bindings para llama.cpp
+│   ├── runtime-deps/       # Gerenciamento de dependências do runtime
+│   ├── inference-core/     # Lógica de inferência (Engine, Session, Sampler)
+│   ├── inference-server/   # Servidor HTTP Axum
+│   ├── api-contracts/      # Schemas de request/response
+│   ├── metrics/            # Contadores de performance e TPS
+│   └── localllm-cli/       # CLI para gerenciamento
+│
+└── tauri-app/
+    └── src-tauri/
+        └── src/
+            ├── lib.rs              # Entry point Tauri
+            ├── runtime/            # Gerenciamento do ciclo de vida
+            ├── model_library/      # Biblioteca de modelos HuggingFace
+            ├── model_files.rs      # Operações com arquivos .gguf
+            ├── model_alias.rs      # Resolução de aliases
+            └── gpu.rs              # Detecção de GPU
+```
+
+### Dependências do Workspace
+
+| Categoria | Crates |
+|-----------|--------|
+| Async Runtime | `tokio`, `axum`, `hyper`, `tower`, `tower-http` |
+| Serialization | `serde`, `serde_json` |
+| Error Handling | `anyhow`, `thiserror` |
+| Logging | `tracing`, `tracing-subscriber` |
+| FFI | `libloading`, `once_cell` |
+| Utilities | `uuid`, `chrono`, `futures`, `tokio-stream` |
+
+---
+
+## 2. HTTP API Server (inference-server)
+
+### Entry Point - `main.rs`
+
+O servidor é iniciado em `crates/inference-server/src/main.rs`.
+
+#### Configuração via Environment Variables
+
+| Variável | Descrição | Padrão |
+|----------|-----------|--------|
+| `LOCALLLM_MODEL` | Caminho para arquivo GGUF | (obrigatório) |
+| `LOCALLLM_PROFILE` | Perfil de performance (`turbo_4b`, `balanced_9b`, `cpu_fallback`) | `turbo_4b` |
+| `LOCALLLM_CTX` | Tamanho do contexto (tokens) | depende do perfil |
+| `LOCALLLM_BATCH` | Tamanho do batch | 4096 (max) |
+| `LOCALLLM_GPU_LAYERS` | Camadas GPU (-1 = auto) | depende do perfil |
+| `LOCALLLM_THREADS` | Threads CPU | depende do perfil |
+| `LOCALLLM_ADDR` | Endereço de bind | `0.0.0.0:8080` |
+| `LOCALLLM_API_KEY` | Chave API para autenticação | (opcional) |
+| `LOCALLLM_LOG_FORMAT` | Formato de log (`json`, `pretty`) | `pretty` |
+| `LOCALLLM_MODEL_ALIASES` | Aliases para modelos (CSV) | (opcional) |
+| `LOCALLLM_ENABLE_TOOL_CALLS` | Habilitar tool calls | `true` |
+
+### Rotas HTTP - `routes.rs`
+
+O roteador é construído em `crates/inference-server/src/routes.rs`.
+
+```rust
+pub fn build_router(state: AppState) -> Router {
+    Router::new()
+        .route("/health", get(health_handler))
+        .route("/v1/models", get(models_handler))
+        .route("/v1/chat/completions", post(chat_completions_handler))
+        .layer(ServiceBuilder::new().layer(trace_layer).layer(cors))
+        .with_state(state)
+}
+```
+
+#### Endpoints
+
+| Método | Endpoint | Descrição |
+|--------|----------|-----------|
+| `GET` | `/health` | Health check do servidor |
+| `GET` | `/v1/models` | Lista modelos disponíveis |
+| `POST` | `/v1/chat/completions` | Chat completions (OpenAI-compatible) |
+
+#### AppState
+
+```rust
+#[derive(Clone)]
+pub struct AppState {
+    pub engine: Arc<Mutex<InferenceEngine>>,    // Motor de inferência
+    pub counters: Arc<PerfCounters>,            // Contadores de performance
+    pub model_name: Arc<String>,                // Nome do modelo atual
+    pub server_config: Arc<ServerConfig>,       // Configurações do servidor
+    pub start_time: std::time::Instant,         // Timestamp de início
+}
+```
+
+### Compatibilidade OpenAI - `compat.rs`
+
+Arquivo: `crates/inference-server/src/compat.rs`
+
+#### ServerConfig
+
+Gerencia configurações de autenticação, CORS, e catálogo de modelos:
+
+```rust
+#[derive(Debug, Clone)]
+pub struct ServerConfig {
+    pub api_key: Option<String>,
+    pub auth_header: String,
+    pub auth_scheme: Option<String>,
+    pub cors_origins: Vec<String>,
+    pub default_system_prompt: String,
+    pub enable_tool_calls: bool,
+    pub model_catalog: ModelCatalog,
+}
+```
+
+#### ModelCatalog
+
+Resolve aliases de modelos (case-insensitive):
+
+```rust
+pub struct ModelCatalog {
+    models: Vec<ModelDescriptor>,
+    aliases: HashMap<String, usize>,
+}
+
+pub struct ModelDescriptor {
+    pub id: String,
+    pub root: String,
+    pub parent: Option<String>,
+}
+```
+
+**Aliases padrão:** `local-model`, `default`
+
+#### Chat Templates Suportados
+
+O sistema detecta automaticamente o template baseado no nome do modelo:
+
+| Modelo | Template | Formatos |
+|--------|----------|----------|
+| Qwen | `<\|im_start\|>`, `<\|im_end\|>` | `system`, `user`, `assistant`, `tool` |
+| Gemma | `<start_of_turn>`, `<end_of_turn>` | `model`, `user` |
+| Llama | `[INST]`, `[/INST]` | com `<<SYS>>` para system |
+| Kimi/Moonshot | `<\|im_system\|>`, `<\|im_user\|>`, `<\|im_assistant\|>` | - |
+| Genérico | `Role: content` | Padrão |
+
+#### Autorização
+
+Suporta múltiplos headers de autenticação:
+- Header configurado (`LOCALLLM_AUTH_HEADER`)
+- `Authorization: Bearer <key>`
+- `X-API-Key: <key>`
+
+#### Validação de Requests
+
+Validações implementadas:
+- Modelo existe no catálogo
+- Lista de mensagens não está vazia
+- `n=1` (apenas uma completion por request)
+- Tool calls habilitado se tools presentes
+
+---
+
+## 3. inference-core
+
+### Engine - `engine.rs`
+
+Local: `crates/inference-core/src/engine.rs`
+
+O `InferenceEngine` é o núcleo de inferência que gerencia:
+- Carregamento do modelo GGUF via llama-sys FFI
+- Inicialização do contexto llama.cpp
+- Criação de sessões de geração
+
+#### EngineConfig
+
+```rust
+pub struct EngineConfig {
+    pub model_path: PathBuf,        // Caminho para arquivo GGUF
+    pub profile: RuntimeProfile,    // Perfil de performance
+    pub n_gpu_layers: i32,          // Camadas GPU (-1 = todas)
+    pub n_ctx: u32,                 // Contexto (tokens)
+    pub n_batch: u32,               // Batch size (prefill)
+    pub n_ubatch: u32,              // Micro-batch (geração)
+    pub n_threads: i32,             // Threads CPU
+    pub n_threads_batch: i32,       // Threads para batch
+    pub flash_attn: bool,           // Flash Attention
+    pub use_mmap: bool,             // Usar memory mapping
+    pub seed: u32,                  // Seed RNG
+}
+```
+
+#### Runtime Profiles
+
+| Perfil | n_ctx | n_gpu_layers | Descrição |
+|--------|-------|--------------|-----------|
+| `Turbo4B` | 8192 | 999 | GPU total, otimizado para modelos até 4B |
+| `Balanced9B` | 16384 | 999 | Equilibrado para modelos até 9B |
+| `CpuFallback` | 4096 | 0 | CPU-only fallback |
+
+#### Ciclo de Vida do Engine
+
+```rust
+// 1. Carregar engine
+let mut engine = InferenceEngine::load(config)?;
+
+// 2. Warmup (aloca buffers CUDA)
+engine.warmup()?;
+
+// 3. Criar sessão de geração
+let session = engine.new_session(prompt, sampler_cfg)?;
+
+// 4. Gerar tokens
+while let Some(token) = session.next_token() {
+    print!("{}", token);
+}
+```
+
+**Nota sobre segurança:** O engine é `Send` mas NÃO é `Sync`. Acesso deve ser coordenado (o servidor usa `tokio::sync::Mutex`).
+
+### Session - `session.rs`
+
+```rust
+pub struct GenerationSession {
+    // ...
+}
+
+impl GenerationSession {
+    pub fn next_token(&mut self) -> Option<String>;
+    pub fn prompt_tokens(&self) -> u32;
+}
+```
+
+### Sampler - `sampler.rs`
+
+Configurações de sampling:
+
+```rust
+pub struct SamplerConfig {
+    pub temperature: f32,           // 0.0 - 2.0
+    pub top_p: f32,                // 0.0 - 1.0
+    pub max_tokens: u32,
+    pub stop_sequences: Vec<String>,
+    pub repeat_penalty: f32,       // 1.15 (normal), 1.0 (tools)
+    pub repeat_last_n: usize,      // 256 tokens
+    pub seed: u32,
+}
+```
+
+---
+
+## 4. API Contracts
+
+Local: `crates/api-contracts/src/`
+
+### Chat Completion Request (`chat.rs`)
+
+```rust
+pub struct ChatCompletionRequest {
+    pub model: String,
+    pub messages: Vec<ChatMessage>,
+    pub max_tokens: u32,           // default: 1024
+    pub temperature: f32,          // default: 0.15
+    pub top_p: f32,               // default: 0.95
+    pub stream: bool,             // default: false
+    pub stop: Vec<String>,
+    pub n: u32,                   // default: 1 (apenas 1 suportado)
+    pub seed: Option<u32>,
+    pub user: Option<String>,
+    pub response_format: Option<ResponseFormat>,
+    pub tools: Vec<ToolDefinition>,
+    pub tool_choice: Option<ToolChoice>,
+    pub stream_options: Option<StreamOptions>,
+}
+```
+
+### ChatMessage
+
+```rust
+pub struct ChatMessage {
+    pub role: Role,               // System, Developer, User, Assistant, Tool
+    pub content: Option<String>,
+    pub name: Option<String>,
+    pub tool_calls: Option<Vec<ToolCall>>,
+    pub tool_call_id: Option<String>,
+}
+```
+
+### ResponseFormat
+
+```rust
+pub struct ResponseFormat {
+    pub format_type: String,      // "json_object", "json_schema", "text"
+    pub json_schema: Option<Value>,
+}
+```
+
+### ToolCalling
+
+```rust
+pub struct ToolDefinition {
+    pub tool_type: ToolType,
+    pub function: FunctionDefinition,
+}
+
+pub struct FunctionDefinition {
+    pub name: String,
+    pub description: Option<String>,
+    pub parameters: Value,        // JSON Schema
+}
+
+pub struct ToolCall {
+    pub id: String,
+    pub tool_type: ToolType,
+    pub function: ToolFunctionCall,
+}
+
+pub struct ToolFunctionCall {
+    pub name: String,
+    pub arguments: String,        // JSON string
+}
+```
+
+---
+
+## 5. Tauri Desktop Backend
+
+### Entry Point - `lib.rs`
+
+Local: `tauri-app/src-tauri/src/lib.rs`
+
+O backend Tauri gerencia:
+- Ciclo de vida do runtime (start/stop)
+- Gerenciamento de modelos locais
+- Downloads do HuggingFace
+- Detecção de GPU
+- Sistema ForgeAgent (multi-agente)
+
+### Commands Tauri
+
+```rust
+.invoke_handler(tauri::generate_handler![
+    query_gpu,                           // Detectar GPU NVIDIA
+    scan_models,                         // Escanear arquivos .gguf
+    pick_models_dir,                     // Selecionar diretório
+    pick_model_files,                    // Selecionar arquivos
+    import_model,                        // Importar modelo
+    search_hugging_face_models_command,  // Buscar no HF
+    start_hugging_face_download_command, // Download do HF
+    cancel_hugging_face_download_command,// Cancelar download
+    swap_model_command,                  // Trocar modelo
+    delete_model_file,                   // Deletar arquivo
+    open_model_folder_command,           // Abrir pasta
+    list_model_library_entries_command,  // Listar biblioteca
+    get_model_library_state_command,     // Estado da biblioteca
+    bootstrap_runtime_command,           // Bootstrap runtime
+    get_runtime_snapshot_command,        // Snapshot do runtime
+    save_runtime_config_command_handler, // Salvar config
+    start_runtime_command,               // Iniciar runtime
+    stop_runtime_command,                // Parar runtime
+    resolve_startup_model_command,       // Resolver modelo inicial
+    get_app_data_dir,                    // Diretório de dados
+    find_server_binary,                  // Localizar binário
+    start_forgeagent_session_command,    // Iniciar ForgeAgent
+])
+```
+
+### Runtime Types - `runtime/types.rs`
+
+#### ConnectionMode
+
+```rust
+pub enum ConnectionMode {
+    Local,   // Servidor local spawnado
+    Remote,  // Conectar a servidor externo
+}
+```
+
+#### RuntimeStatus
+
+```rust
+pub enum RuntimeStatus {
+    Stopped,
+    Starting,
+    Loading,
+    Ready,
+    Degraded,
+    Stopping,
+    Error,
+}
+```
+
+#### RuntimeConfig
+
+```rust
+pub struct RuntimeConfig {
+    pub connection_mode: ConnectionMode,
+    pub start_policy: StartPolicy,        // Manual, OnAppLaunch
+    pub server_url: String,               // Para Remote mode
+    pub api_key: String,
+    pub model_path: Option<String>,
+    pub models_dir: Option<String>,
+    pub addr: String,                     // "127.0.0.1:8080"
+    pub gpu_layers: i32,
+    pub ctx_size: u32,                    // default: 4096
+    pub extra_model_paths: Vec<String>,
+    pub selected_model_id: Option<String>,
+    pub remote_presets: Vec<RemotePreset>,
+    pub hugging_face_token: String,
+    pub preferred_startup_model_alias: Option<String>,
+}
+```
+
+#### RuntimeSnapshot
+
+```rust
+pub struct RuntimeSnapshot {
+    pub status: RuntimeStatus,
+    pub ready: bool,
+    pub process_running: bool,
+    pub resolved_url: String,
+    pub binary_path: Option<String>,
+    pub last_error: Option<RuntimeErrorInfo>,
+    pub active_command: RuntimeLifecycleCommand,
+    pub last_command_result: RuntimeLifecycleResult,
+    pub config: RuntimeConfig,
+}
+```
+
+### Model Library - `model_library/`
+
+#### Tipos
+
+```rust
+pub struct ModelLibraryEntry {
+    pub id: String,
+    pub name: String,
+    pub repo_id: String,
+    pub description: String,
+    pub tags: Vec<String>,
+    pub size_gb: f64,
+    pub default_file: String,
+    pub installed: bool,
+    pub installed_path: Option<String>,
+}
+
+pub struct HuggingFaceModelResult {
+    pub id: String,
+    pub model_id: String,
+    pub downloads: i64,
+    pub likes: i32,
+    pub tags: Vec<String>,
+    pub gguf_files: Vec<GgufFileInfo>,
+}
+```
+
+### Model Files - `model_files.rs`
+
+```rust
+#[derive(Serialize)]
+pub struct ModelFileInfo {
+    pub path: String,
+    pub file_name: String,
+    pub size_bytes: u64,
+    pub modified: Option<String>,
+}
+```
+
+---
+
+## 6. Fluxo de Dados
+
+### 1. Requisição Chat Completion
+
+```
+┌──────────┐    ┌─────────────┐    ┌──────────────┐    ┌─────────────┐
+│  Client  │───►│ Axum Router │───►│ compat.rs    │───►│ routes.rs   │
+└──────────┘    └─────────────┘    └──────────────┘    └──────┬──────┘
+                                                               │
+                                                               ▼
+┌──────────┐    ┌─────────────┐    ┌──────────────┐    ┌─────────────┐
+│  Client  │◄───│   JSON      │◄───│ Generation   │◄───│   Engine    │
+│          │    │  Response    │    │   Session    │    │  (Mutex)    │
+└──────────┘    └─────────────┘    └──────────────┘    └──────┬──────┘
+                                                              │
+                                                              ▼
+                                                    ┌─────────────────┐
+                                                    │   llama-sys     │
+                                                    │   (llama.dll)   │
+                                                    └─────────────────┘
+```
+
+### 2. Streaming vs Blocking
+
+**Streaming Mode:**
+1. Cria stream SSE
+2. Gera tokens em `spawn_blocking`
+3. Envia chunks via channel
+4. Client recebe tokens em tempo real
+
+**Blocking Mode:**
+1. Gera completion completa
+2. Retorna JSON único
+
+### 3. Ciclo de Vida do Modelo
+
+```
+┌─────────────┐
+│   Stopped   │
+└──────┬──────┘
+       │ start_runtime_command()
+       ▼
+┌─────────────┐
+│   Starting  │
+└──────┬──────┘
+       │ Processo spawnado
+       ▼
+┌─────────────┐
+│   Loading   │
+└──────┬──────┘
+       │ Modelo carregado
+       ▼
+┌─────────────┐
+│    Ready    │◄──────────┐
+└──────┬──────┘           │
+       │ stop_runtime()   │ swap_model_command()
+       ▼                  │
+┌─────────────┐           │
+│   Stopping  │           │
+└─────────────┘           │
+                          │
+├─────────────────────────┤
+│         swap            │
+│  ┌─────┐   ┌─────┐      │
+│  │Stop │──►│Start│      │
+│  └─────┘   └─────┘      │
+└─────────────────────────┘
+```
+
+---
+
+## 7. ForgeAgent - Sistema Multi-Agente
+
+### Especialistas
+
+| ID | Nome | Emoji | Função |
+|----|------|-------|--------|
+| `analyst` | Analista | 🔍 | Análise técnica e decomposição |
+| `architect` | Arquiteto | 🏗️ | Arquitetura de software e padrões |
+| `developer` | Desenvolvedor | 💻 | Implementação pragmática |
+| `critic` | Crítico | ⚖️ | Revisão e identificação de riscos |
+
+### Fluxo de Eventos
+
+```
+start_forgeagent_session_command()
+       │
+       ▼
+┌─────────────────────────┐
+│ forgeagent:start        │──► Envia plano estruturado
+└─────────────────────────┘
+       │
+       ▼
+┌─────────────────────────┐
+│ forgeagent:step-started │──► Início de cada passo
+└─────────────────────────┘
+       │
+       ▼
+┌─────────────────────────┐
+│ forgeagent:step-completed│──► Passo concluído
+└─────────────────────────┘
+       │
+       ▼
+┌───────────────────────────────┐
+│ forgeagent:specialist-thought │──► Pensamento do especialista
+└───────────────────────────────┘
+       │
+       ▼
+┌──────────────────────────────────┐
+│ forgeagent:specialist-response   │──► Resposta do especialista
+└──────────────────────────────────┘
+       │
+       ▼
+┌─────────────────────────┐
+│ forgeagent:plan-completed│──► Resumo final
+└─────────────────────────┘
+```
+
+---
+
+## 8. API HTTP - Exemplos
+
+### Health Check
+
+```bash
+curl http://localhost:8080/health
+```
+
+**Response:**
+```json
+{
+  "status": "ok",
+  "model_loaded": true,
+  "model_id": "qwen2.5-7b-instruct",
+  "uptime_secs": 3600
+}
+```
+
+### Listar Modelos
+
+```bash
+curl http://localhost:8080/v1/models \
+  -H "Authorization: Bearer sua-chave"
+```
+
+**Response:**
+```json
+{
+  "object": "list",
+  "data": [
+    {
+      "id": "local-model",
+      "object": "model",
+      "created": 1234567890,
+      "owned_by": "local",
+      "root": "qwen2.5-7b-instruct",
+      "parent": "qwen2.5-7b-instruct",
+      "permission": []
+    }
+  ]
+}
+```
+
+### Chat Completion (Non-streaming)
+
+```bash
+curl http://localhost:8080/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sua-chave" \
+  -d '{
+    "model": "local-model",
+    "messages": [
+      {"role": "user", "content": "Olá!"}
+    ],
+    "max_tokens": 1024,
+    "temperature": 0.7
+  }'
+```
+
+**Response:**
+```json
+{
+  "id": "uuid-123",
+  "object": "chat.completion",
+  "created": 1234567890,
+  "model": "qwen2.5-7b-instruct",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "Olá! Como posso ajudar?"
+      },
+      "finish_reason": "stop"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 10,
+    "completion_tokens": 20,
+    "total_tokens": 30,
+    "tokens_per_second": 45.5
+  }
+}
+```
+
+### Chat Completion (Streaming)
+
+```bash
+curl http://localhost:8080/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sua-chave" \
+  -d '{
+    "model": "local-model",
+    "messages": [
+      {"role": "user", "content": "Conte uma piada"}
+    ],
+    "stream": true
+  }'
+```
+
+**Response (SSE):**
+```
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"role":"assistant"}}]}
+
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"content":"Por"}}]}
+
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"content":" que"}}]}
+...
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"finish_reason":"stop"}]}
+
+data: [DONE]
+```
+
+### Tool Calling
+
+```bash
+curl http://localhost:8080/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sua-chave" \
+  -d '{
+    "model": "local-model",
+    "messages": [
+      {"role": "user", "content": "Liste os arquivos"}
+    ],
+    "tools": [
+      {
+        "type": "function",
+        "function": {
+          "name": "list_files",
+          "description": "Lista arquivos do projeto",
+          "parameters": {
+            "type": "object",
+            "properties": {
+              "path": {"type": "string"}
+            }
+          }
+        }
+      }
+    ],
+    "tool_choice": "auto"
+  }'
+```
+
+---
+
+## 9. Configuração e Deploy
+
+### Compilação
+
+```bash
+# Servidor
+$env:LOCALLLM_LOG_FORMAT="json"
+cargo build --release -p inference-server
+
+# CLI
+cargo build --release -p localllm-cli
+
+# Tauri App
+cd tauri-app
+cargo tauri build
+```
+
+### Execução
+
+```bash
+# Com variáveis de ambiente
+$env:LOCALLLM_MODEL="D:\models\model.gguf"
+$env:LOCALLLM_PROFILE="balanced_9b"
+$env:LOCALLLM_API_KEY="minha-chave-secreta"
+$env:LOCALLLM_ADDR="0.0.0.0:8080"
+
+.\target\release\inference-server.exe
+```
+
+### Docker (se aplicável)
+
+```bash
+docker run -p 8080:8080 \
+  -v /path/to/models:/models \
+  -e LOCALLLM_MODEL=/models/model.gguf \
+  -e LOCALLLM_API_KEY=secret \
+  forgelm/inference-server:latest
+```
+
+---
+
+## 10. Estrutura de Arquivos
+
+### Diretórios Importantes
+
+```
+%LOCALAPPDATA%/ForgeLM/           # Windows
+~/.local/share/ForgeLM/           # Linux
+~/Library/Application Support/ForgeLM/  # macOS
+├── models/                       # Modelos baixados
+├── runtime/                      # Binários do runtime
+└── config.json                   # Configuração do runtime
+```
+
+### Frontend (Tauri App)
+
+```
+tauri-app/
+├── src/
+│   ├── lib/
+│   │   ├── db.ts                 # Persistência local (sql.js)
+│   │   └── types.ts              # Tipos TypeScript
+│   ├── main.tsx                  # Entry React
+│   └── App.tsx                   # App shell
+└── src-tauri/
+    ├── src/
+    │   ├── lib.rs                # Entry Tauri
+    │   ├── runtime/              # Gerenciamento runtime
+    │   ├── model_library/        # HuggingFace integration
+    │   ├── model_files.rs        # Arquivos locais
+    │   ├── model_alias.rs        # Resolução aliases
+    │   └── gpu.rs                # Detecção GPU
+    └── taury.conf.json           # Config Tauri
+```
+
+---
+
+## 11. Glossário
+
+| Termo | Descrição |
+|-------|-----------|
+| **GGUF** | Format binary for LLMs (GPT-Generated Unified Format) |
+| **KV Cache** | Key-Value cache for attention mechanism |
+| **Prefill** | Initial prompt processing phase |
+| **Decode** | Token generation phase |
+| **Context Window** | Maximum tokens the model can process |
+| **Batch** | Number of tokens processed together |
+| **GPU Layers** | Number of model layers offloaded to GPU |
+| **Flash Attention** | Optimized attention implementation |
+| **Tool Calling** | Function calling capability for LLMs |
+| **SSE** | Server-Sent Events for streaming |
+
+---
+
+## 12. Referências Rápidas
+
+### Arquivos Principais
+
+| Função | Arquivo |
+|--------|---------|
+| Entry Server | `crates/inference-server/src/main.rs` |
+| Rotas HTTP | `crates/inference-server/src/routes.rs` |
+| Compat OpenAI | `crates/inference-server/src/compat.rs` |
+| Engine | `crates/inference-core/src/engine.rs` |
+| Session | `crates/inference-core/src/session.rs` |
+| Sampler | `crates/inference-core/src/sampler.rs` |
+| Schemas | `crates/api-contracts/src/chat.rs` |
+| Entry Tauri | `tauri-app/src-tauri/src/lib.rs` |
+| Runtime Types | `tauri-app/src-tauri/src/runtime/types.rs` |
+
+### Env Vars Completas
+
+```bash
+# Modelo e Performance
+LOCALLLM_MODEL="/path/to/model.gguf"
+LOCALLLM_PROFILE="turbo_4b"  # turbo_4b, balanced_9b, cpu_fallback
+LOCALLLM_CTX=8192
+LOCALLLM_BATCH=4096
+LOCALLLM_GPU_LAYERS=-1
+LOCALLLM_THREADS=4
+LOCALLLM_THREADS_BATCH=4
+
+# Servidor
+LOCALLLM_ADDR="0.0.0.0:8080"
+LOCALLLM_API_KEY="secret"
+LOCALLLM_AUTH_HEADER="authorization"
+LOCALLLM_AUTH_SCHEME="Bearer"
+LOCALLLM_CORS_ORIGINS="*,https://example.com"
+
+# Features
+LOCALLLM_ENABLE_TOOL_CALLS="true"
+LOCALLLM_MODEL_ALIASES="alias1,alias2"
+LOCALLLM_SYSTEM_PROMPT="Você é um assistente..."
+
+# Logging
+LOCALLLM_LOG_FORMAT="json"  # ou pretty
+RUST_LOG="info"
+```
+
+---
+
+## Conclusão
+
+Este documento cobre a arquitetura completa do backend ForgeLM, incluindo:
+
+1. **HTTP Server** - API compatível com OpenAI usando Axum
+2. **Inference Core** - Motor de inferência via llama.cpp
+3. **Tauri Backend** - Gerenciamento desktop do ciclo de vida
+4. **API Contracts** - Schemas de request/response
+5. **Fluxos de Dados** - Como as requisições fluem pelo sistema
+
+Para mais detalhes, consulte os arquivos de código fonte mencionados nas referências.

FRONTEND_API_DOCUMENTATION.md

@@ -0,0 +1,962 @@
+# Documentação: Frontend Consumindo o Backend - ForgeLM
+
+## Sumário
+
+Esta documentação detalha **exatamente como** o frontend React consome os dados do backend, quais rotas ele bate, como envia e recebe dados, e a arquitetura de comunicação entre as camadas.
+
+---
+
+## Arquitetura de Comunicação
+
+```
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                           Frontend React + TypeScript                       │
+├─────────────────────────────────────────────────────────────────────────────┤
+│                                                                             │
+│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────────────────┐  │
+│  │   App.tsx       │  │  ChatView.tsx   │  │  useRuntimeManager.ts       │  │
+│  │   (Main App)    │  │  (Chat UI)      │  │  (Runtime State)            │  │
+│  └────────┬────────┘  └────────┬────────┘  └─────────────┬───────────────┘  │
+│           │                    │                          │                  │
+│           │                    │ fetch()                  │ invoke()         │
+│           │                    │                          │                  │
+│           ▼                    ▼                          ▼                  │
+│  ┌──────────────────────────────────────────────────────────────────────┐  │
+│  │                         Camada de API                                 │  │
+│  │  ┌─────────────────────┐  ┌─────────────────────────────────────────┐  │  │
+│  │  │  lib/db.ts          │  │  features/runtime/api.ts                │  │  │
+│  │  │  (sql.js + localStorage)│  │  (Tauri Commands)                   │  │  │
+│  │  └─────────────────────┘  └─────────────────────────────────────────┘  │  │
+│  └──────────────────────────────────────────────────────────────────────┘  │
+│                                                                             │
+└─────────────────────────────────────────────────────────────────────────────┘
+                                      │
+                                      │ HTTP / Tauri Bridge
+                                      ▼
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                              Backend                                        │
+├─────────────────────────────────────────────────────────────────────────────┤
+│  ┌─────────────────────────────┐    ┌─────────────────────────────────────┐ │
+│  │  Tauri Backend (Rust)       │    │  HTTP Server (Axum)                 │ │
+│  │  - Commands                 │    │  - Port: 8080                       │ │
+│  │  - Events                   │    │  - /v1/chat/completions             │ │
+│  │  - Process spawning         │    │  - /v1/models                       │ │
+│  └─────────────────────────────┘    └─────────────────────────────────────┘ │
+└─────────────────────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## 1. Camadas de Comunicação
+
+### 1.1 HTTP API (Chat Completions)
+
+**Local:** `ChatView.tsx` → HTTP Server Axum
+
+```typescript
+// ChatView.tsx - Linha 251-263
+const res = await fetch(`${server}/v1/chat/completions`, {
+  method: "POST",
+  headers,
+  signal: abortRef.current.signal,
+  body: JSON.stringify({
+    model,
+    messages: apiMessages,        // Array de {role, content}
+    stream: useStream,           // true/false
+    stream_options: useStream ? { include_usage: true } : undefined,
+    max_tokens: 2048,
+    stop: CHAT_TRANSCRIPT_STOP_SEQUENCES,  // ["\nSystem:", "\nUser:", ...]
+  }),
+});
+```
+
+**Headers enviados:**
+```typescript
+const headers: Record<string, string> = { 
+  "Content-Type": "application/json" 
+};
+if (apiKey) headers["Authorization"] = `Bearer ${apiKey}`;
+```
+
+**Body da requisição:**
+```json
+{
+  "model": "qwen2.5-7b-instruct",
+  "messages": [
+    { "role": "user", "content": "Olá, como vai?" }
+  ],
+  "stream": true,
+  "stream_options": { "include_usage": true },
+  "max_tokens": 2048,
+  "stop": ["\nSystem:", "\nUser:", "\nAssistant:", "\n\nSystem:", "\n\nUser:", "\n\nAssistant:"]
+}
+```
+
+### 1.2 Tauri Commands (Gerenciamento do Runtime)
+
+**Local:** `features/runtime/api.ts` → Tauri Backend (Rust)
+
+O frontend usa `invoke` do `@tauri-apps/api/core` para chamar comandos Rust:
+
+```typescript
+import { invoke } from "@tauri-apps/api/core";
+
+// Exemplo: Iniciar runtime
+export async function startRuntime(): Promise<RuntimeSnapshot> {
+  return invoke<RuntimeSnapshot>("start_runtime_command");
+}
+```
+
+---
+
+## 2. Rotas HTTP Consumidas
+
+### 2.1 POST /v1/chat/completions
+
+**Arquivo:** `ChatView.tsx` (linha 251)
+
+**Fluxo completo:**
+
+```
+┌──────────────┐     ┌──────────────┐     ┌──────────────┐
+│   Usuário    │────►│  ChatView    │────►│    fetch()   │
+│   digita     │     │  handleSend  │     │   POST /v1/  │
+└──────────────┘     └──────────────┘     └──────┬───────┘
+                                                  │
+                                                  ▼
+┌──────────────┐     ┌──────────────┐     ┌──────────────┐
+│   DB (local) │◄────│   parse()    │◄────│    Server    │
+│  sql.js      │     │   response   │     │   Axum       │
+└──────────────┘     └──────────────┘     └──────────────┘
+```
+
+**Streaming (SSE):**
+
+```typescript
+// ChatView.tsx - Linha 274-307
+if (useStream) {
+  const reader = res.body!.getReader();
+  const decoder = new TextDecoder('utf-8');
+  let buf = "";
+
+  while (true) {
+    const { done, value } = await reader.read();
+    if (done) break;
+    buf += decoder.decode(value, { stream: true });
+    const lines = buf.split("\n");
+    buf = lines.pop()!;
+
+    for (const line of lines) {
+      if (!line.startsWith("data: ")) continue;
+      const data = line.slice(6).trim();
+      if (data === "[DONE]") continue;
+      
+      const chunk = JSON.parse(data);
+      const delta = chunk.choices?.[0]?.delta?.content;
+      if (delta) {
+        fullContent += delta;
+        setStreamContent(parsed.content);
+        setStreamReasoning(parsed.reasoning);
+      }
+      if (chunk.usage) usage = chunk.usage;
+    }
+  }
+}
+```
+
+**Resposta em streaming:**
+```
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"role":"assistant"}}]}
+
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"content":"Olá"}}]}
+
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"content":"!"}}]}
+...
+data: {"id":"...","object":"chat.completion.chunk","choices":[{"finish_reason":"stop"}],"usage":{"prompt_tokens":10,"completion_tokens":20,"total_tokens":30,"tokens_per_second":45.5}}
+
+data: [DONE]
+```
+
+**Modo Blocking:**
+
+```typescript
+// ChatView.tsx - Linha 308-318
+} else {
+  const data = await res.json();
+  fullContent = data.choices?.[0]?.message?.content || "";
+  usage = data.usage;
+}
+```
+
+**Resposta blocking:**
+```json
+{
+  "id": "uuid-123",
+  "object": "chat.completion",
+  "created": 1234567890,
+  "model": "qwen2.5-7b-instruct",
+  "choices": [{
+    "index": 0,
+    "message": {
+      "role": "assistant",
+      "content": "Olá! Como posso ajudar?"
+    },
+    "finish_reason": "stop"
+  }],
+  "usage": {
+    "prompt_tokens": 10,
+    "completion_tokens": 20,
+    "total_tokens": 30,
+    "tokens_per_second": 45.5
+  }
+}
+```
+
+### 2.2 GET /v1/models
+
+**Arquivo:** `hooks/useModels.ts`
+
+```typescript
+const res = await fetch(`${serverUrl}/v1/models`, {
+  headers: apiKey ? { "Authorization": `Bearer ${apiKey}` } : {},
+});
+const data = await res.json();
+```
+
+**Resposta:**
+```json
+{
+  "object": "list",
+  "data": [
+    {
+      "id": "local-model",
+      "object": "model",
+      "created": 1234567890,
+      "owned_by": "local"
+    }
+  ]
+}
+```
+
+### 2.3 GET /health
+
+**Arquivo:** `hooks/useModels.ts` (status check)
+
+```typescript
+const res = await fetch(`${serverUrl}/health`);
+```
+
+**Resposta:**
+```json
+{
+  "status": "ok",
+  "model_loaded": true,
+  "model_id": "qwen2.5-7b-instruct",
+  "uptime_secs": 3600
+}
+```
+
+---
+
+## 3. Comandos Tauri (Invoke)
+
+### 3.1 Runtime Management API
+
+**Arquivo:** `features/runtime/api.ts`
+
+| Função | Comando Tauri | Descrição |
+|--------|---------------|-----------|
+| `bootstrapRuntime()` | `bootstrap_runtime_command` | Inicializa o runtime |
+| `getRuntimeSnapshot()` | `get_runtime_snapshot_command` | Obtém estado atual |
+| `saveRuntimeConfig(config)` | `save_runtime_config_command_handler` | Salva configurações |
+| `startRuntime()` | `start_runtime_command` | Inicia o servidor local |
+| `stopRuntime()` | `stop_runtime_command` | Para o servidor |
+
+**Exemplo - Iniciar Runtime:**
+```typescript
+// api.ts
+export async function startRuntime(): Promise<RuntimeSnapshot> {
+  try {
+    return await invoke<RuntimeSnapshot>("start_runtime_command");
+  } catch {
+    // Fallback para modo web (sem Tauri)
+    const snapshot = readFallbackSnapshot();
+    return writeFallbackSnapshot({
+      ...snapshot,
+      status: "error",
+      last_error: { 
+        code: "tauri_unavailable", 
+        message: "Local runtime control requires the Tauri desktop app." 
+      },
+    });
+  }
+}
+```
+
+### 3.2 Model Management API
+
+| Função | Comando Tauri | Descrição |
+|--------|---------------|-----------|
+| `scanRuntimeModels(dir)` | `scan_models` | Escaneia diretório de modelos |
+| `pickRuntimeModelsDir()` | `pick_models_dir` | Abre dialog de seleção |
+| `pickRuntimeModelFiles()` | `pick_model_files` | Seleciona arquivos |
+| `swapModel(path)` | `swap_model_command` | Troca modelo ativo |
+| `deleteModelFile(path)` | `delete_model_file` | Deleta arquivo .gguf |
+| `openModelFolder(path)` | `open_model_folder_command` | Abre pasta no Explorer |
+
+**Exemplo - Escaneamento:**
+```typescript
+export async function scanRuntimeModels(dir: string): Promise<RuntimeModelFile[]> {
+  return invoke<RuntimeModelFile[]>("scan_models", { dir });
+}
+// Retorna: [{ name: "model.gguf", path: "/path/to/model.gguf", size: 4200000000 }]
+```
+
+### 3.3 HuggingFace Integration API
+
+| Função | Comando Tauri | Descrição |
+|--------|---------------|-----------|
+| `searchHuggingFaceModels(query, token)` | `search_hugging_face_models_command` | Busca modelos |
+| `startHuggingFaceDownload(repo, file, token)` | `start_hugging_face_download_command` | Inicia download |
+| `cancelHuggingFaceDownload(id)` | `cancel_hugging_face_download_command` | Cancela download |
+
+**Exemplo - Busca HuggingFace:**
+```typescript
+export async function searchHuggingFaceModels(
+  query: string, 
+  token = ""
+): Promise<HuggingFaceModelResult[]> {
+  return invoke<HuggingFaceModelResult[]>("search_hugging_face_models_command", {
+    query,
+    token: token.trim() || null,
+  });
+}
+```
+
+### 3.4 GPU Info API
+
+```typescript
+export async function queryRuntimeGpu(): Promise<RuntimeGpuInfo | null> {
+  return invoke<RuntimeGpuInfo>("query_gpu");
+}
+// Retorna: { name: "NVIDIA RTX 4090", vram_mib: 24576, recommended_layers: 999 }
+```
+
+### 3.5 ForgeAgent Session API
+
+**Arquivo:** `hooks/useForgeAgentSession.ts`
+
+```typescript
+const response = await invoke<StartForgeAgentResponse>(
+  "start_forgeagent_session_command", 
+  { prompt }
+);
+// Retorna: { plan_id: "forgeagent-1234567890", plan: AgentPlan }
+```
+
+**Eventos escutados:**
+```typescript
+listen<StepStartedEvent>("forgeagent:step-started", handler);
+listen<StepCompletedEvent>("forgeagent:step-completed", handler);
+listen<ArtifactReadyEvent>("forgeagent:artifact-ready", handler);
+listen<PlanCompletedEvent>("forgeagent:plan-completed", handler);
+listen<SpecialistThinkingStartedEvent>("forgeagent:specialist-thinking-started", handler);
+listen<SpecialistThinkingUpdateEvent>("forgeagent:specialist-thinking-update", handler);
+listen<SpecialistResponseCompletedEvent>("forgeagent:specialist-response-completed", handler);
+```
+
+---
+
+## 4. Persistência Local (sql.js)
+
+### 4.1 Estrutura do Banco
+
+**Arquivo:** `lib/db.ts`
+
+O frontend usa **sql.js** (SQLite compilado para WebAssembly) com persistência em `localStorage`:
+
+```typescript
+// initDB() - Criação das tabelas
+db.run(`
+  CREATE TABLE IF NOT EXISTS chats (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    title TEXT NOT NULL DEFAULT 'New Chat',
+    created_at INTEGER NOT NULL DEFAULT (strftime('%s','now')),
+    updated_at INTEGER NOT NULL DEFAULT (strftime('%s','now'))
+  )
+`);
+
+db.run(`
+  CREATE TABLE IF NOT EXISTS messages (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    chat_id INTEGER NOT NULL,
+    role TEXT NOT NULL,
+    content TEXT NOT NULL,
+    reasoning_content TEXT,         -- Conteúdo do <think>...</think>
+    prompt_tokens INTEGER DEFAULT 0,
+    completion_tokens INTEGER DEFAULT 0,
+    total_tokens INTEGER DEFAULT 0,
+    tokens_per_second REAL,
+    created_at INTEGER NOT NULL DEFAULT (strftime('%s','now'))
+  )
+`);
+
+db.run(`
+  CREATE TABLE IF NOT EXISTS user_memories (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    key TEXT NOT NULL UNIQUE,
+    value TEXT NOT NULL,
+    confidence REAL DEFAULT 1.0,
+    created_at INTEGER,
+    updated_at INTEGER
+  )
+`);
+```
+
+### 4.2 Persistência
+
+```typescript
+// db.ts - persist()
+persist() {
+  const data = this.inner.export();  // Uint8Array
+  // Converte para base64 em chunks
+  let b64 = "";
+  const CHUNK = 8192;
+  for (let i = 0; i < data.length; i += CHUNK) {
+    b64 += String.fromCharCode(...data.subarray(i, i + CHUNK));
+  }
+  const encoded = btoa(b64);
+  localStorage.setItem("forgelm_db_v2", encoded);
+}
+```
+
+### 4.3 Queries Principais
+
+**Carregar mensagens:**
+```typescript
+// ChatView.tsx - loadMessages()
+const rows = db.query<Message>(
+  "SELECT * FROM messages WHERE chat_id = ? ORDER BY created_at ASC",
+  [targetChatId]
+);
+```
+
+**Inserir mensagem do usuário:**
+```typescript
+db.run(
+  "INSERT INTO messages (chat_id, role, content) VALUES (?, 'user', ?)",
+  [cid, text]
+);
+```
+
+**Inserir resposta do assistente:**
+```typescript
+db.run(
+  `INSERT INTO messages (
+    chat_id, role, content, reasoning_content, 
+    prompt_tokens, completion_tokens, total_tokens, tokens_per_second
+  ) VALUES (?, 'assistant', ?, ?, ?, ?, ?, ?)`,
+  [cid, content, reasoning, usage?.prompt_tokens, usage?.completion_tokens, 
+   usage?.total_tokens, usage?.tokens_per_second]
+);
+```
+
+**Histórico para API:**
+```typescript
+// ChatView.tsx - buildApiMessages()
+const history = db.query<{ role: string; content: string }>(
+  `SELECT role, content FROM messages 
+   WHERE chat_id = ? AND content != '' 
+   AND content NOT LIKE '⚠️ Error:%' 
+   ORDER BY created_at DESC LIMIT ?`,
+  [cid, 100]
+).reverse();
+```
+
+---
+
+## 5. Fluxos de Dados Detalhados
+
+### 5.1 Fluxo: Enviar Mensagem
+
+```
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                           FLUXO: ENVIAR MENSAGEM                            │
+└─────────────────────────────────────────────────────────────────────────────┘
+
+Usuário clica "Enviar"
+       │
+       ▼
+┌───────────────┐
+│ handleSend()  │──► 1. Valida input e estado
+└───────┬───────┘
+        │
+        ▼
+┌───────────────┐
+│ getOrCreateChat│──► 2. Cria novo chat se necessário (INSERT INTO chats)
+└───────┬───────┘
+        │
+        ▼
+┌───────────────┐
+│ db.run(INSERT) │──► 3. Salva mensagem do usuário na DB local
+└───────┬───────┘
+        │
+        ▼
+┌───────────────┐
+│ buildApiMessages│──► 4. Busca histórico das últimas 100 mensagens
+└───────┬───────┘
+        │
+        ▼
+┌───────────────────────────┐
+│ fetch(POST /v1/chat/completions) │──► 5. Envia para servidor HTTP
+│                           │         Headers: Content-Type, Authorization
+│                           │         Body: {model, messages, stream, ...}
+└───────────┬───────────────┘
+            │
+       ┌────┴────┐
+       ▼         ▼
+  ┌─────────┐ ┌─────────┐
+  │ Stream  │ │ Block   │
+  │ Mode    │ │ Mode    │
+  └────┬────┘ └────┬────┘
+       │           │
+       ▼           ▼
+  ┌───────────────────────────┐
+  │ Processa chunks SSE       │
+  │ - setStreamContent()      │
+  │ - setStreamReasoning()    │
+  │ - parseAssistantResponse()│
+  └───────────┬───────────────┘
+              │
+              ▼
+  ┌───────────────────────────┐
+  │ db.run(INSERT assistant)  │──► 6. Salva resposta completa na DB
+  └───────────┬───────────────┘
+              │
+              ▼
+  ┌───────────────────────────┐
+  │ loadMessages()            │──► 7. Recarrega mensagens do chat
+  └───────────────────────────┘
+```
+
+### 5.2 Fluxo: Trocar Modelo
+
+```
+Usuário seleciona novo modelo no dropdown
+       │
+       ▼
+┌───────────────────────────┐
+│ onModelChange()           │
+│ onModelSwap()             │
+└───────────┬───────────────┘
+            │
+            ▼
+┌───────────────────────────┐
+│ swapModel(newModelPath)   │──► invoke("swap_model_command")
+└───────────┬───────────────┘
+            │
+            ▼
+┌───────────────────────────┐
+│    Tauri Backend (Rust)   │
+│  1. stop_runtime()        │
+│  2. Atualiza model_path   │
+│  3. save_runtime_config() │
+│  4. start_runtime()       │
+└───────────┬───────────────┘
+            │
+            ▼
+┌───────────────────────────┐
+│ RuntimeSnapshot retornado │
+│ { status: "ready", ... }  │
+└───────────┬───────────────┘
+            │
+            ▼
+┌───────────────────────────┐
+│ setSelectedModel(path)    │──► Atualiza estado React
+└───────────────────────────┘
+```
+
+### 5.3 Fluxo: Download HuggingFace
+
+```
+Usuário busca e seleciona modelo
+       │
+       ▼
+┌───────────────────────────────┐
+│ searchHuggingFaceModels()     │──► invoke("search_hugging_face_models_command")
+│                               │    Args: { query, token }
+└───────────────┬───────────────┘
+                │
+                ▼
+┌───────────────────────────────┐
+│ Lista de modelos retornada    │
+│ [{ repo_id, author,          │
+│    verified_files: [...] }]   │
+└───────────────┬───────────────┘
+                │
+                ▼
+Usuário clica "Download"
+       │
+       ▼
+┌───────────────────────────────┐
+│ startHuggingFaceDownload()    │──► invoke("start_hugging_face_download_command")
+│                               │    Args: { repo, fileName, token }
+└───────────────┬───────────────┘
+                │
+                ▼
+┌───────────────────────────────┐
+│ Escuta eventos de progresso   │
+│ listen("hugging-face-download- │
+│   progress", handler)         │
+└───────────────┬───────────────┘
+                │
+                ▼
+┌───────────────────────────────┐
+│ Eventos recebidos:            │
+│ { phase: "progress",          │
+│   progressPercentage: 45,     │
+│   downloadedMB: 2048,         │
+│   totalMB: 4096 }             │
+└───────────────────────────────┘
+```
+
+### 5.4 Fluxo: ForgeAgent
+
+```
+Usuário ativa modo Agentic e envia mensagem
+       │
+       ▼
+┌───────────────────────────────┐
+│ start_forgeagent_session      │──► invoke("start_forgeagent_session_command")
+│ _command({ prompt })          │
+└───────────────┬───────────────┘
+                │
+                ▼
+┌───────────────────────────────┐
+│ Resposta inicial:             │
+│ { plan_id, plan: {            │
+│   title, overview, steps[] }} │
+└───────────────┬───────────────┘
+                │
+                ▼
+┌───────────────────────────────┐
+│ Escuta eventos Tauri:         │
+├───────────────────────────────┤
+│ forgeagent:step-started       │──► Atualiza UI com passo atual
+│ forgeagent:step-completed     │──► Marca passo como concluído
+│ forgeagent:specialist-        │──► Mostra especialista
+│   thinking-started            │
+│ forgeagent:specialist-        │──► Atualiza pensamento
+│   thinking-update             │
+│ forgeagent:specialist-        │──► Mostra resposta do especialista
+│   response-completed          │
+│ forgeagent:plan-completed     │──► Mostra resumo final
+└───────────────────────────────┘
+```
+
+---
+
+## 6. Hooks Principais
+
+### 6.1 useRuntimeManager
+
+**Arquivo:** `features/runtime/useRuntimeManager.ts`
+
+Gerencia todo o estado do runtime local:
+
+```typescript
+export function useRuntimeManager() {
+  // Estados
+  const [draftState, setDraftState] = useState<RuntimeDraftState>(...);
+  const [loading, setLoading] = useState(true);
+  const [busy, setBusy] = useState(false);
+
+  // Métodos expostos
+  return {
+    snapshot: draftState.liveSnapshot,           // Estado atual do runtime
+    connection: { mode, serverUrl, apiKey },     // Dados de conexão
+    startLocal,                                  // Inicia servidor
+    stopLocal,                                   // Para servidor
+    saveConfig,                                  // Salva configurações
+    scanModels,                                  // Escaneia modelos
+    // ... e mais
+  };
+}
+```
+
+**Polling:** Atualiza a cada 3 segundos
+```typescript
+const id = window.setInterval(() => {
+  refresh().catch(() => undefined);
+}, 3000);
+```
+
+### 6.2 useModels
+
+**Arquivo:** `hooks/useModels.ts`
+
+Gerencia a lista de modelos disponíveis:
+
+```typescript
+export function useModels(serverUrl: string, apiKey: string, enabled: boolean) {
+  const [models, setModels] = useState<ModelInfo[]>([]);
+  const [selectedModel, setSelectedModel] = useState("");
+  const [status, setStatus] = useState<ServerStatus>("loading");
+
+  const refresh = useCallback(async () => {
+    // 1. Health check
+    const healthRes = await fetch(`${serverUrl}/health`);
+    
+    // 2. Lista modelos
+    const modelsRes = await fetch(`${serverUrl}/v1/models`, { headers });
+    const data = await modelsRes.json();
+    setModels(data.data);
+  }, [serverUrl, apiKey]);
+
+  return { models, selectedModel, setSelectedModel, status, refresh };
+}
+```
+
+### 6.3 useForgeAgentSession
+
+**Arquivo:** `hooks/useForgeAgentSession.ts`
+
+```typescript
+export function useForgeAgentSession() {
+  const [state, setState] = useState<AgentPlanState | null>(null);
+
+  const start = useCallback(async (prompt: string) => {
+    const response = await invoke<StartForgeAgentResponse>(
+      "start_forgeagent_session_command", 
+      { prompt }
+    );
+    // Inicializa estado com plano recebido
+    const initial = createForgeAgentState(response.plan_id, response.plan);
+    updateState(initial);
+  }, []);
+
+  // Escuta eventos em tempo real
+  useEffect(() => {
+    const unlisten = await Promise.all([
+      listen<StepStartedEvent>("forgeagent:step-started", handler),
+      listen<StepCompletedEvent>("forgeagent:step-completed", handler),
+      // ... mais eventos
+    ]);
+  }, []);
+
+  return { state, start, reset };
+}
+```
+
+### 6.4 useDB
+
+**Arquivo:** `hooks/useDB.ts`
+
+```typescript
+export function useDB() {
+  const [db, setDb] = useState<DB | null>(null);
+  const [ready, setReady] = useState(false);
+
+  useEffect(() => {
+    initDB().then((database) => {
+      setDb(database);
+      setReady(true);
+    });
+  }, []);
+
+  return { db, ready };
+}
+```
+
+---
+
+## 7. Tipos de Dados (TypeScript)
+
+### 7.1 Mensagens
+
+```typescript
+// lib/types.ts
+interface Message {
+  id: number;
+  chat_id: number;
+  role: "user" | "assistant" | "system";
+  content: string;
+  reasoning_content?: string | null;    // <think>...</think>
+  display_mode?: "default" | "agentic_final";
+  forgeagent_state?: AgentPlanState;
+  prompt_tokens?: number;
+  completion_tokens?: number;
+  total_tokens?: number;
+  tokens_per_second?: number;
+  created_at: number;
+}
+```
+
+### 7.2 Runtime
+
+```typescript
+// features/runtime/types.ts
+interface RuntimeSnapshot {
+  status: "stopped" | "starting" | "loading" | "ready" | "degraded" | "stopping" | "error";
+  ready: boolean;
+  process_running: boolean;
+  resolved_url: string;
+  binary_path: string | null;
+  last_error: { code: string; message: string } | null;
+  active_command: "idle" | "save" | "start" | "stop" | "save_and_start";
+  last_command_result: {
+    command: string;
+    outcome: "succeeded" | "blocked" | "failed";
+    message: string;
+  };
+  config: RuntimeConfig;
+}
+
+interface RuntimeConfig {
+  connection_mode: "local" | "remote";
+  server_url: string;
+  api_key: string;
+  model_path: string | null;
+  models_dir: string | null;
+  addr: string;              // "127.0.0.1:8080"
+  gpu_layers: number;
+  ctx_size: number;
+  // ...
+}
+```
+
+### 7.3 ForgeAgent
+
+```typescript
+// types/forgeagent.ts
+interface AgentPlan {
+  title: string;
+  overview: string;
+  steps: AgentStep[];
+}
+
+interface AgentStep {
+  id: number;
+  title: string;
+  description: string;
+  status: "pending" | "running" | "completed" | "error";
+  sub_steps: AgentSubStep[];
+}
+
+interface SpecialistResponse {
+  specialist_id: string;
+  specialist_name: string;
+  thinking: string;
+  response: string;
+}
+```
+
+---
+
+## 8. Resumo das Comunicações
+
+### Tabela de Endpoints
+
+| Origem | Destino | Método | Rota/Command | Payload | Response |
+|--------|---------|--------|--------------|---------|----------|
+| ChatView | HTTP Server | POST | `/v1/chat/completions` | `{model, messages, stream, max_tokens}` | SSE ou JSON |
+| useModels | HTTP Server | GET | `/v1/models` | - | `{data: ModelInfo[]}` |
+| useModels | HTTP Server | GET | `/health` | - | `{status, model_loaded}` |
+| useRuntimeManager | Tauri | invoke | `start_runtime_command` | - | `RuntimeSnapshot` |
+| useRuntimeManager | Tauri | invoke | `stop_runtime_command` | - | `RuntimeSnapshot` |
+| useRuntimeManager | Tauri | invoke | `save_runtime_config_command_handler` | `{config}` | `RuntimeSnapshot` |
+| useRuntimeManager | Tauri | invoke | `scan_models` | `{dir}` | `RuntimeModelFile[]` |
+| useRuntimeManager | Tauri | invoke | `swap_model_command` | `{newModelPath}` | `RuntimeSnapshot` |
+| API HuggingFace | Tauri | invoke | `search_hugging_face_models_command` | `{query, token}` | `HuggingFaceModelResult[]` |
+| API HuggingFace | Tauri | invoke | `start_hugging_face_download_command` | `{repo, fileName, token}` | `downloadId` |
+| useForgeAgentSession | Tauri | invoke | `start_forgeagent_session_command` | `{prompt}` | `{plan_id, plan}` |
+| useForgeAgentSession | Tauri | listen | `forgeagent:step-started` | - | `StepStartedEvent` |
+| useForgeAgentSession | Tauri | listen | `forgeagent:step-completed` | - | `StepCompletedEvent` |
+| useForgeAgentSession | Tauri | listen | `forgeagent:plan-completed` | - | `PlanCompletedEvent` |
+
+---
+
+## 9. Configurações e Estado Global
+
+### Estado do Runtime (Contexto Global)
+
+```typescript
+// App.tsx
+const runtime = useRuntimeManager();
+
+// Acesso em componentes filhos via props
+<ChatView
+  server={runtime.connection.serverUrl}      // "http://127.0.0.1:8080"
+  apiKey={runtime.connection.apiKey}         // ""
+  model={selectedModel}                      // "qwen2.5-7b-instruct"
+  runtimeStatus={runtime.snapshot.status}    // "ready"
+/>
+```
+
+### Persistência do Runtime
+
+```typescript
+// localStorage: forgelm_runtime_snapshot_v1
+{
+  "status": "ready",
+  "ready": true,
+  "process_running": true,
+  "resolved_url": "http://127.0.0.1:8080",
+  "config": {
+    "connection_mode": "local",
+    "model_path": "D:/models/model.gguf",
+    "addr": "127.0.0.1:8080"
+  }
+}
+```
+
+---
+
+## 10. Diagrama de Sequência - Chat Completo
+
+```
+Usuário    ChatView    DB(sql.js)    HTTP Server    Tauri    Modelo
+  │           │            │              │          │         │
+  │──mensagem►│            │              │          │         │
+  │           │──INSERT───►│              │          │         │
+  │           │◄───────────│              │          │         │
+  │           │            │              │          │         │
+  │           │──SELECT───►│ (histórico)  │          │         │
+  │           │◄───────────│              │          │         │
+  │           │            │              │          │         │
+  │           │────────────┼──────────────┼──────────┼──►     │
+  │           │   fetch()  │              │          │  inference
+  │           │  POST /v1/ │              │          │         │
+  │           │chat/completions           │          │         │
+  │           │            │              │          │         │
+  │           │◄───────────┼──────────────┼──────────┼─────────│
+  │           │   SSE      │              │          │         │
+  │           │   chunks   │              │          │         │
+  │           │            │              │          │         │
+  │◄──stream─│            │              │          │         │
+  │   tokens │            │              │          │         │
+  │          │            │              │          │         │
+  │          │──INSERT───►│              │          │         │
+  │          │  assistant │              │          │         │
+  │          │◄───────────│              │          │         │
+  │          │            │              │          │         │
+  │◄─display │            │              │          │         │
+  │  completo│            │              │          │         │
+```
+
+---
+
+## Conclusão
+
+O frontend ForgeLM consome o backend através de **duas camadas** distintas:
+
+1. **HTTP API** - Para chat completions (streaming e blocking) via `fetch()`
+2. **Tauri Commands** - Para gerenciamento do runtime, modelos e downloads via `invoke()`
+
+A persistência local usa **sql.js** (SQLite WASM) com backup em `localStorage`, garantindo que conversas e memórias do usuário sejam mantidas entre sessões.
+
+O sistema suporta **dois modos**:
+- **Local**: Tauri gerencia o processo do servidor HTTP internamente
+- **Remote**: Conecta a um servidor OpenAI-compatible externo
+
+Todos os comandos Tauri possuem **fallbacks para modo web**, permitindo que o app funcione (com funcionalidade reduzida) mesmo sem o backend Tauri.

crates/inference-server/src/compat.rs

@@ -176,6 +176,8 @@ pub struct ModelDescriptor {
 pub struct PreparedPrompt {
     pub prompt: String,
     pub streaming_mode: StreamingMode,
+    /// Extra stop sequences injected by the template (e.g. Generic transcript stops)
+    pub extra_stop_sequences: Vec<String>,
 }
 
 #[derive(Debug, Clone, Copy, PartialEq, Eq)]
@@ -370,6 +372,22 @@ pub fn prepare_prompt(req: &ChatCompletionRequest, config: &ServerConfig) -> Pre
         append_assistant_prefix(&mut prompt, template);
     }
 
+    // For Generic template, inject stop sequences to prevent transcript leakage
+    // (model may continue generating "User:", "System:", "Assistant:" turns)
+    let extra_stops: Vec<String> = if template == ChatTemplate::Generic && req.tools.is_empty() {
+        vec![
+            "\nUser:".to_owned(),
+            "\nSystem:".to_owned(),
+            "\nAssistant:".to_owned(),
+            "\n\nUser:".to_owned(),
+            "\n\nSystem:".to_owned(),
+            "\n\nAssistant:".to_owned(),
+            "\nHuman:".to_owned(),
+        ]
+    } else {
+        vec![]
+    };
+
     PreparedPrompt {
         prompt,
         streaming_mode: if req.tools.is_empty() {
@@ -377,6 +395,7 @@ pub fn prepare_prompt(req: &ChatCompletionRequest, config: &ServerConfig) -> Pre
         } else {
             StreamingMode::Buffered
         },
+        extra_stop_sequences: extra_stops,
     }
 }
 
@@ -742,9 +761,9 @@ pub fn build_sampler(req: &ChatCompletionRequest) -> inference_core::SamplerConf
     sampler.top_p = req.top_p.clamp(0.0, 1.0);
     sampler.max_tokens = req.max_tokens.max(1);
     sampler.stop_sequences = req.stop.clone();
-    // Higher repeat_penalty (1.15) with larger context window (256 tokens) to prevent repetition loops
+    // Higher repeat_penalty (1.3) with larger context window (512 tokens) to prevent repetition loops
-    sampler.repeat_penalty = if req.tools.is_empty() { 1.15 } else { 1.0 };
+    sampler.repeat_penalty = if req.tools.is_empty() { 1.3 } else { 1.0 };
-    sampler.repeat_last_n = 256;
+    sampler.repeat_last_n = 512;
     sampler.seed = req.seed.unwrap_or(0);
     sampler
 }

crates/inference-server/src/routes.rs

@@ -167,10 +167,21 @@ async fn chat_completions_handler(
         );
     }
 
-    let sampler = build_sampler(&req);
+    let mut sampler = build_sampler(&req);
     let prepared = prepare_prompt(&req, &state.server_config);
     tracing::debug!(prompt_len = prepared.prompt.len(), "chat_completions: prompt prepared");
 
+    // Merge template-injected stop sequences with request-provided ones
+    if !prepared.extra_stop_sequences.is_empty() {
+        let mut stops = sampler.stop_sequences.clone();
+        for s in &prepared.extra_stop_sequences {
+            if !stops.contains(s) {
+                stops.push(s.clone());
+            }
+        }
+        sampler.stop_sequences = stops;
+    }
+
     if req.stream {
         tracing::info!("chat_completions: starting stream response");
         stream_response(

tauri-app/src/components/ChatView.tsx

@@ -205,9 +205,16 @@ export default function ChatView({
   const buildApiMessages = useCallback((cid: number) => {
     const history = db.query<{ role: string; content: string }>(
       "SELECT role, content FROM messages WHERE chat_id = ? AND content != '' AND content NOT LIKE '⚠️ Error:%' AND content != 'internal error' ORDER BY created_at DESC LIMIT ?",
-      [cid, 100],
+      [cid, 20],
     ).reverse();
-    return history;
+    // Strip any leaked reasoning/transcript from assistant messages before sending back to model
+    return history.map((msg) => {
+      if (msg.role !== "assistant") return msg;
+      // Remove content after transcript leakage markers
+      const leakageIdx = msg.content.search(/(?:^|\n)\s*(?:System|User|Assistant|Human):/i);
+      const cleaned = leakageIdx > 0 ? msg.content.slice(0, leakageIdx).trimEnd() : msg.content;
+      return { ...msg, content: cleaned };
+    }).filter((msg) => msg.content.trim() !== "");
   }, [db]);
 
   const send = useCallback(async (text: string, fromChatId?: number, replaceAssistantId?: number) => {

tauri-app/src/lib/chat.ts

@@ -7,7 +7,7 @@ export interface ParsedAssistantResponse {
 
 const THINK_OPEN = "<think>";
 const THINK_CLOSE = "</think>";
-const TRANSCRIPT_LEAKAGE_PATTERN = /(?:^|\n)\s*(?:System|User|Assistant):/i;
+const TRANSCRIPT_LEAKAGE_PATTERN = /(?:^|\n)\s*(?:System|User|Assistant|Human):/i;
 
 export const CHAT_TRANSCRIPT_STOP_SEQUENCES = [
   "\nSystem:",
@@ -16,6 +16,9 @@ export const CHAT_TRANSCRIPT_STOP_SEQUENCES = [
   "\n\nSystem:",
   "\n\nUser:",
   "\n\nAssistant:",
+  "System:",
+  "\nHuman:",
+  "\n\nHuman:",
 ];
 
 export function buildChatTitle(text: string): string {