- First LLM version like v5.

Cargo.toml

@@ -4,60 +4,58 @@ version = "0.1.0"
 edition = "2021"
 authors = ["Rodrigo Rodriguez <me@rodrigorodriguez.com>"]
 description = "General Bots Server"
-license = "AGPL"
+license = "AGPL-3.0"
 repository = "https://alm.pragmatismo.com.br/generalbots/gbserver"
 
 [features]
-default = []
+default = ["postgres", "qdrant"]
 local_llm = []
+postgres = ["sqlx/postgres"]
+qdrant = ["langchain-rust/qdrant"]
 
 [dependencies]
-actix-cors = "0.6"
+actix-cors = "0.7"
-actix-multipart = "0.6"
+actix-multipart = "0.7"
-actix-web = "4"
+actix-web = "4.9"
-actix-ws = "0.3.0"
+actix-ws = "0.3"
-thirtyfour = { version = "0.30" }
-downloader = "0.2.8"
 anyhow = "1.0"
 async-stream = "0.3"
-bytes = "1.1"
+async-trait = "0.1"
+aes-gcm = "0.10"
+argon2 = "0.5"
+base64 = "0.22"
+bytes = "1.8"
 chrono = { version = "0.4", features = ["serde"] }
 dotenv = "0.15"
-env_logger = "0.10"
+downloader = "0.2"
+env_logger = "0.11"
 futures = "0.3"
 futures-util = "0.3"
-imap = "2.0"
+imap = "2.4"
-langchain-rust = "4.4.3"
+langchain-rust = { version = "4.6", features = ["qdrant", "postgres"] }
-lettre = { version = "0.10", features = [
+lettre = { version = "0.11", features = ["smtp-transport", "builder", "tokio1", "tokio1-native-tls"] }
-    "smtp-transport",
+livekit = "0.7"
-    "builder",
+log = "0.4"
-    "tokio1",
+mailparse = "0.15"
-    "tokio1-native-tls",
-] }
-log = "0.4.28"
-mailparse = "0.13"
 minio = { git = "https://github.com/minio/minio-rs", branch = "master" }
 native-tls = "0.2"
-reqwest = { version = "0.11", features = ["json", "stream"] }
+num-format = "0.4"
-rhai = "1.22.2"
+qdrant-client = "1.12"
+rhai = "1.22"
+redis = { version = "0.27", features = ["tokio-comp"] }
+regex = "1.11"
+reqwest = { version = "0.12", features = ["json", "stream"] }
+scraper = "0.20"
 serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
-smartstring = "1.0" # Use the latest version from crates.io
+smartstring = "1.0"
-sqlx = { version = "0.7", features = [
+sqlx = { version = "0.8", features = ["time", "uuid", "runtime-tokio-rustls", "postgres", "chrono"] }
-    "time",
-    "uuid",
-    "runtime-tokio-rustls",
-    "postgres",
-    "chrono",
-] }
 tempfile = "3"
-tokio = { version = "1", features = ["full"] }
+thirtyfour = "0.34"
-tokio-stream = "0.1.17"
+tokio = { version = "1.41", features = ["full"] }
+tokio-stream = "0.1"
 tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["fmt"] }
-scraper = "0.18"
 urlencoding = "2.1"
-regex = "1.10"
+uuid = { version = "1.11", features = ["serde", "v4"] }
-uuid = { version = "1.4", features = ["serde", "v4"] } # v4, v7, etc. as needed
+zip = "2.2"
-zip = "4.3.0"
-num-format = "0.4"

src/PROMPT.md

@@ -0,0 +1,7 @@
+* Output a single `.sh` script using `cat` so it can be restored directly.
+* No placeholders, only real, production-ready code.
+* No comments, no explanations, no extra text.
+* Follow KISS principles.
+* Provide a complete, professional, working solution.
+* If the script is too long, split into multiple parts, but always return the **entire code**.
+* Output must be **only the code**, nothing else.

src/main.rs

@@ -1,23 +1,30 @@
 use actix_web::middleware::Logger;
 use log::info;
+use qdrant_client::Qdrant;
 use std::sync::Arc;
 
 use actix_web::{web, App, HttpServer};
 use dotenv::dotenv;
-use services::state::*;
-use services::{config::*, file::*};
 use sqlx::PgPool;
 
+use crate::services::auth::AuthService;
 use crate::services::automation::AutomationService;
+use crate::services::channels::ChannelAdapter;
+use crate::services::config::AppConfig;
 use crate::services::email::{
     get_emails, get_latest_email_from, list_emails, save_click, save_draft, send_email,
 };
-use crate::services::llm::{chat, chat_stream};
+use crate::services::file::{list_file, upload_file};
 use crate::services::llm_generic::generic_chat_completions;
 use crate::services::llm_local::{
     chat_completions_local, embeddings_local, ensure_llama_servers_running,
 };
+use crate::services::orchestrator::BotOrchestrator;
+use crate::services::session::SessionManager;
+use crate::services::state::AppState;
+use crate::services::tools::{RedisToolExecutor, ToolManager};
 use crate::services::web_automation::{initialize_browser_pool, BrowserPool};
+use crate::services::whatsapp::WhatsAppAdapter;
 
 mod models;
 mod services;
@@ -34,7 +41,7 @@ async fn main() -> std::io::Result<()> {
     let db = PgPool::connect(&db_url).await.unwrap();
     let db_custom = PgPool::connect(&db_custom_url).await.unwrap();
 
-    let minio_client = init_minio(&config)
+    let minio_client = services::file::init_minio(&config)
         .await
         .expect("Failed to initialize Minio");
 
@@ -52,47 +59,179 @@ async fn main() -> std::io::Result<()> {
         .await
         .expect("Failed to initialize browser pool");
 
+    // Initialize Redis if available
+    let redis_url = std::env::var("REDIS_URL").unwrap_or_else(|_| "".to_string());
+    let redis_conn = match std::env::var("REDIS_URL") {
+        Ok(redis_url_value) => {
+            let client = redis::Client::open(redis_url_value.clone())
+                .expect("Failed to create Redis client");
+            let conn = redis::aio::Connection::new(client)
+                .await
+                .expect("Failed to create Redis connection");
+            Some(Arc::new(conn))
+        }
+        Err(_) => None,
+    };
+
+    let qdrant_url = std::env::var("QDRANT_URL").unwrap_or("http://localhost:6334".to_string());
+    let qdrant = Qdrant::from_url(&qdrant_url)
+        .build()
+        .expect("Failed to connect to Qdrant");
+
+    let session_manager = SessionManager::new(db.clone(), redis_conn.clone());
+    let auth_service = AuthService::new(db.clone(), redis_conn.clone());
+
+    let llm_provider: Arc<dyn crate::services::llm_local::LLMProvider> =
+        match std::env::var("LLM_PROVIDER")
+            .unwrap_or("mock".to_string())
+            .as_str()
+        {
+            "openai" => Arc::new(crate::services::llm_local::OpenAIClient::new(
+                std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY required"),
+            )),
+            "anthropic" => Arc::new(crate::services::llm_local::AnthropicClient::new(
+                std::env::var("ANTHROPIC_API_KEY").expect("ANTHROPIC_API_KEY required"),
+            )),
+            _ => Arc::new(crate::services::llm_local::MockLLMProvider::new()),
+        };
+
+    let web_adapter = Arc::new(crate::services::channels::WebChannelAdapter::new());
+    let voice_adapter = Arc::new(crate::services::channels::VoiceAdapter::new(
+        std::env::var("LIVEKIT_URL").unwrap_or("ws://localhost:7880".to_string()),
+        std::env::var("LIVEKIT_API_KEY").unwrap_or("dev".to_string()),
+        std::env::var("LIVEKIT_API_SECRET").unwrap_or("secret".to_string()),
+    ));
+
+    let whatsapp_adapter = Arc::new(crate::services::whatsapp::WhatsAppAdapter::new(
+        std::env::var("META_ACCESS_TOKEN").unwrap_or("".to_string()),
+        std::env::var("META_PHONE_NUMBER_ID").unwrap_or("".to_string()),
+        std::env::var("META_WEBHOOK_VERIFY_TOKEN").unwrap_or("".to_string()),
+    ));
+
+    let tool_executor = Arc::new(
+        RedisToolExecutor::new(
+            redis_url.as_str(),
+            web_adapter.clone() as Arc<dyn crate::services::channels::ChannelAdapter>,
+            db.clone(),
+            redis_conn.clone(),
+        )
+        .expect("Failed to create RedisToolExecutor"),
+    );
+    let chart_generator = ChartGenerator::new().map(Arc::new);
+    // Initialize LangChain components
+    let llm = OpenAI::default();
+    let llm_provider: Arc<dyn LLMProvider> = Arc::new(OpenAIClient::new(llm));
+
+    // Initialize vector store for document mode
+    let vector_store = if let (Ok(qdrant_url), Ok(openai_key)) =
+        (std::env::var("QDRANT_URL"), std::env::var("OPENAI_API_KEY"))
+    {
+        let embedder = OpenAiEmbedder::default().with_api_key(openai_key);
+        let client = QdrantClient::from_url(&qdrant_url).build().ok()?;
+
+        let store = StoreBuilder::new()
+            .embedder(embedder)
+            .client(client)
+            .collection_name("documents")
+            .build()
+            .await
+            .ok()?;
+
+        Some(Arc::new(store))
+    } else {
+        None
+    };
+
+    // Initialize SQL chain for database mode
+    let sql_chain = if let Ok(db_url) = std::env::var("DATABASE_URL") {
+        let engine = PostgreSQLEngine::new(&db_url).await.ok()?;
+        let db = SQLDatabaseBuilder::new(engine).build().await.ok()?;
+
+        let llm = OpenAI::default();
+        let chain = langchain_rust::chain::SQLDatabaseChainBuilder::new()
+            .llm(llm)
+            .top_k(5)
+            .database(db)
+            .build()
+            .ok()?;
+
+        Some(Arc::new(chain))
+    } else {
+        None
+    };
+
+    let tool_manager = ToolManager::new();
+    let orchestrator = BotOrchestrator::new(
+        session_manager,
+        tool_manager,
+        llm_provider,
+        auth_service,
+        chart_generator,
+        vector_store,
+        sql_chain,
+    );
+
+    orchestrator.add_channel("web", web_adapter.clone());
+    orchestrator.add_channel("voice", voice_adapter.clone());
+    orchestrator.add_channel("whatsapp", whatsapp_adapter.clone());
+
+    sqlx::query(
+        "INSERT INTO bots (id, name, llm_provider) VALUES ($1, $2, $3) ON CONFLICT DO NOTHING",
+    )
+    .bind(uuid::Uuid::parse_str("00000000-0000-0000-0000-000000000000").unwrap())
+    .bind("Default Bot")
+    .bind("mock")
+    .execute(&db)
+    .await
+    .unwrap();
+
     let app_state = web::Data::new(AppState {
         db: db.into(),
         db_custom: db_custom.into(),
         config: Some(config.clone()),
         minio_client: minio_client.into(),
         browser_pool: browser_pool.clone(),
+        orchestrator: Arc::new(orchestrator),
+        web_adapter,
+        voice_adapter,
+        whatsapp_adapter,
     });
 
     // Start automation service in background
-    let automation_state = app_state.get_ref().clone(); // This gets the Arc<AppState>
+    let automation_state = app_state.get_ref().clone();
 
     let automation = AutomationService::new(automation_state, "src/prompts");
     let _automation_handle = automation.spawn();
 
     // Start HTTP server
     HttpServer::new(move || {
-        // let cors = Cors::default()
-        //     .send_wildcard()
-        //     .allowed_methods(vec!["GET", "POST", "PUT", "DELETE"])
-        //     .allowed_headers(vec![header::AUTHORIZATION, header::ACCEPT])
-        //     .allowed_header(header::CONTENT_TYPE)
-        //     .max_age(3600);
-        //.wrap(cors)
-
         App::new()
             .wrap(Logger::default())
             .wrap(Logger::new("HTTP REQUEST: %a %{User-Agent}i"))
             .app_data(app_state.clone())
+            // Original services
             .service(upload_file)
             .service(list_file)
             .service(save_click)
             .service(get_emails)
             .service(list_emails)
             .service(send_email)
-            .service(chat_stream)
+            .service(crate::services::orchestrator::chat_stream)
-            .service(chat)
+            .service(crate::services::orchestrator::chat)
             .service(chat_completions_local)
             .service(save_draft)
             .service(generic_chat_completions)
             .service(embeddings_local)
             .service(get_latest_email_from)
+            .service(services::orchestrator::websocket_handler)
+            .service(services::orchestrator::whatsapp_webhook_verify)
+            .service(services::orchestrator::whatsapp_webhook)
+            .service(services::orchestrator::voice_start)
+            .service(services::orchestrator::voice_stop)
+            .service(services::orchestrator::create_session)
+            .service(services::orchestrator::get_sessions)
+            .service(services::orchestrator::get_session_history)
+            .service(services::orchestrator::index)
     })
     .bind((config.server.host.clone(), config.server.port))?
     .run()

src/scripts/containers/cache.sh

@@ -0,0 +1,7 @@
+curl -fsSL https://packages.redis.io/gpg | sudo gpg --dearmor -o /usr/share/keyrings/valkey.gpg
+echo "deb [signed-by=/usr/share/keyrings/valkey.gpg] https://packages.redis.io/deb $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/valkey.list
+sudo apt update
+sudo apt install valkey-server
+
+sudo systemctl enable valkey-server
+sudo systemctl start valkey-server

src/scripts/containers/email.sh

@@ -7,9 +7,14 @@ sudo iptables -A FORWARD -i $PUBLIC_INTERFACE -o lxcbr0 -p tcp -m multiport --dp
 sudo iptables -A FORWARD -i lxcbr0 -o $PUBLIC_INTERFACE -m state --state RELATED,ESTABLISHED -j ACCEPT
 sudo iptables -t nat -A POSTROUTING -o $PUBLIC_INTERFACE -j MASQUERADE
 
+# IPv6 firewall
+sudo ip6tables -A FORWARD -i $PUBLIC_INTERFACE -o lxcbr0 -p tcp -m multiport --dports 25,80,110,143,465,587,993,995,4190 -j ACCEPT
+sudo ip6tables -A FORWARD -i lxcbr0 -o $PUBLIC_INTERFACE -m state --state RELATED,ESTABLISHED -j ACCEPT
+
 # Save iptables rules permanently (adjust based on your distro)
 if command -v iptables-persistent >/dev/null; then
     sudo iptables-save | sudo tee /etc/iptables/rules.v4
+    sudo ip6tables-save | sudo tee /etc/iptables/rules.v6
 fi
 
 
@@ -61,9 +66,9 @@ sudo chown -R "$HOST_EMAIL_UID:$HOST_EMAIL_GID" "$HOST_BASE"
 
 # Mount directories
 echo "[CONTAINER] Mounting directories..."
-lxc config device add emailprofile emaildata disk source="$HOST_DATA" path=/opt/gbo/data
+lxc config device add "$PARAM_TENANT"-email emaildata disk source="$HOST_DATA" path=/opt/gbo/data
-lxc config device add emailprofile emailconf disk source="$HOST_CONF" path=/opt/gbo/conf
+lxc config device add "$PARAM_TENANT"-email emailconf disk source="$HOST_CONF" path=/opt/gbo/conf
-lxc config device add emailprofile emaillogs disk source="$HOST_LOGS" path=/opt/gbo/logs
+lxc config device add "$PARAM_TENANT"-email emaillogs disk source="$HOST_LOGS" path=/opt/gbo/logs
 
 # Create systemd service
 echo "[CONTAINER] Creating email service..."
@@ -92,7 +97,11 @@ systemctl enable email
 systemctl start email
 "
 
+# FIXED: IPv4 + IPv6 proxy devices
 for port in 25 80 110 143 465 587 993 995 4190; do
-    lxc config device remove email "port-$port" 2>/dev/null || true
+    lxc config device remove "$PARAM_TENANT"-email "port-$port" 2>/dev/null || true
-    lxc config device add email "port-$port" proxy listen=tcp:0.0.0.0:$port connect=tcp:127.0.0.1:$port
+    lxc config device add "$PARAM_TENANT"-email "port-$port" proxy \
+      listen=tcp:0.0.0.0:$port \
+      listen=tcp:[::]:$port \
+      connect=tcp:127.0.0.1:$port
 done

src/scripts/containers/vector-db.sh

@@ -0,0 +1,4 @@
+#!/bin/bash
+wget https://github.com/qdrant/qdrant/releases/latest/download/qdrant-x86_64-unknown-linux-gnu.tar.gz
+tar -xzf qdrant-x86_64-unknown-linux-gnu.tar.gz
+./qdrant

src/scripts/database/0004.sql

@@ -0,0 +1,129 @@
+-- User authentication and profiles
+CREATE TABLE IF NOT EXISTS users (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    username VARCHAR(255) UNIQUE NOT NULL,
+    email VARCHAR(255) UNIQUE NOT NULL,
+    password_hash VARCHAR(255) NOT NULL,
+    phone_number VARCHAR(50),
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    is_active BOOLEAN DEFAULT true
+);
+
+-- Bot configurations
+CREATE TABLE IF NOT EXISTS bots (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    name VARCHAR(255) NOT NULL,
+    description TEXT,
+    llm_provider VARCHAR(100) NOT NULL,
+    llm_config JSONB NOT NULL DEFAULT '{}',
+    context_provider VARCHAR(100) NOT NULL,
+    context_config JSONB NOT NULL DEFAULT '{}',
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    is_active BOOLEAN DEFAULT true
+);
+
+-- User sessions with optimized storage
+CREATE TABLE IF NOT EXISTS user_sessions (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
+    title VARCHAR(500) NOT NULL DEFAULT 'New Conversation',
+    answer_mode VARCHAR(50) NOT NULL DEFAULT 'direct',
+    context_data JSONB NOT NULL DEFAULT '{}',
+    current_tool VARCHAR(255),
+    message_count INTEGER NOT NULL DEFAULT 0,
+    total_tokens INTEGER NOT NULL DEFAULT 0,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    last_activity TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    UNIQUE(user_id, bot_id, title)
+);
+
+-- Encrypted message history with analytics-friendly structure
+CREATE TABLE IF NOT EXISTS message_history (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    session_id UUID NOT NULL REFERENCES user_sessions(id) ON DELETE CASCADE,
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    role VARCHAR(50) NOT NULL CHECK (role IN ('user', 'assistant', 'system')),
+    content_encrypted TEXT NOT NULL,
+    message_type VARCHAR(50) NOT NULL DEFAULT 'text',
+    media_url TEXT,
+    token_count INTEGER NOT NULL DEFAULT 0,
+    processing_time_ms INTEGER,
+    llm_model VARCHAR(100),
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    message_index INTEGER NOT NULL
+);
+
+-- Bot channel configurations
+CREATE TABLE IF NOT EXISTS bot_channels (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
+    channel_type VARCHAR(50) NOT NULL CHECK (channel_type IN ('web', 'whatsapp', 'meet', 'api')),
+    config JSONB NOT NULL DEFAULT '{}',
+    is_active BOOLEAN DEFAULT true,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    UNIQUE(bot_id, channel_type)
+);
+
+-- WhatsApp number mappings
+CREATE TABLE IF NOT EXISTS whatsapp_numbers (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
+    phone_number VARCHAR(50) NOT NULL,
+    is_active BOOLEAN DEFAULT true,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    UNIQUE(phone_number, bot_id)
+);
+
+-- User email mappings for web channel
+CREATE TABLE IF NOT EXISTS user_emails (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    email VARCHAR(255) NOT NULL,
+    is_primary BOOLEAN DEFAULT false,
+    verified BOOLEAN DEFAULT false,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    UNIQUE(email)
+);
+
+-- Tools registry
+CREATE TABLE IF NOT EXISTS tools (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    name VARCHAR(255) UNIQUE NOT NULL,
+    description TEXT NOT NULL,
+    parameters JSONB NOT NULL DEFAULT '{}',
+    script TEXT NOT NULL,
+    is_active BOOLEAN DEFAULT true,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
+);
+
+-- Manual context injections
+CREATE TABLE IF NOT EXISTS context_injections (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    session_id UUID NOT NULL REFERENCES user_sessions(id) ON DELETE CASCADE,
+    injected_by UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    context_data JSONB NOT NULL,
+    reason TEXT,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
+);
+
+-- Analytics tables
+CREATE TABLE IF NOT EXISTS usage_analytics (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
+    session_id UUID NOT NULL REFERENCES user_sessions(id) ON DELETE CASCADE,
+    date DATE NOT NULL DEFAULT CURRENT_DATE,
+    message_count INTEGER NOT NULL DEFAULT 0,
+    total_tokens INTEGER NOT NULL DEFAULT 0,
+    total_processing_time_ms INTEGER NOT NULL DEFAULT 0
+);
+
+-- Indexes for performance
+CREATE INDEX IF NOT EXISTS idx_message_history_session_id ON message_history(session_id);
+CREATE INDEX IF NOT EXISTS idx_message_history_created_at ON message_history(created_at);
+CREATE INDEX IF NOT EXISTS idx_user_sessions_user_bot ON user_sessions(user_id, bot_id);
+CREATE INDEX IF NOT EXISTS idx_usage_analytics_date ON usage_analytics(date);

src/scripts/database/001_init.sql

@@ -0,0 +1,57 @@
+CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
+
+CREATE TABLE IF NOT EXISTS users (
+    id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
+    username VARCHAR(255) UNIQUE NOT NULL,
+    email VARCHAR(255) UNIQUE NOT NULL,
+    password_hash VARCHAR(255) NOT NULL,
+    is_active BOOLEAN DEFAULT true,
+    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE TABLE IF NOT EXISTS bots (
+    id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
+    name VARCHAR(255) NOT NULL,
+    llm_provider VARCHAR(100) NOT NULL,
+    config JSONB DEFAULT '{}',
+    is_active BOOLEAN DEFAULT true,
+    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE TABLE IF NOT EXISTS user_sessions (
+    id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
+    title VARCHAR(500) NOT NULL,
+    context_data JSONB DEFAULT '{}',
+    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+    UNIQUE(user_id, bot_id)
+);
+
+CREATE TABLE IF NOT EXISTS message_history (
+    id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
+    session_id UUID NOT NULL REFERENCES user_sessions(id) ON DELETE CASCADE,
+    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    role VARCHAR(50) NOT NULL,
+    content_encrypted TEXT NOT NULL,
+    message_type VARCHAR(50) DEFAULT 'text',
+    message_index INTEGER NOT NULL,
+    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE INDEX IF NOT EXISTS idx_user_sessions_user_id ON user_sessions(user_id);
+CREATE INDEX IF NOT EXISTS idx_user_sessions_bot_id ON user_sessions(bot_id);
+CREATE INDEX IF NOT EXISTS idx_message_history_session_id ON message_history(session_id);
+CREATE INDEX IF NOT EXISTS idx_message_history_user_id ON message_history(user_id);
+CREATE INDEX IF NOT EXISTS idx_message_history_created_at ON message_history(created_at);
+
+INSERT INTO bots (id, name, llm_provider) 
+VALUES ('00000000-0000-0000-0000-000000000000', 'Default Bot', 'mock')
+ON CONFLICT (id) DO NOTHING;
+
+INSERT INTO users (id, username, email, password_hash) 
+VALUES ('00000000-0000-0000-0000-000000000001', 'demo', 'demo@example.com', '$argon2id$v=19$m=19456,t=2,p=1$c29tZXNhbHQ$RdescudvJCsgt3ub+b+dWRWJTmaaJObG')
+ON CONFLICT (id) DO NOTHING;

src/services/auth/mod.rs

@@ -0,0 +1,90 @@
+use argon2::{
+    password_hash::{rand_core::OsRng, PasswordHash, PasswordHasher, PasswordVerifier, SaltString},
+    Argon2,
+};
+use redis::aio::Connection as ConnectionManager;
+use redis::AsyncCommands;
+use sqlx::PgPool;
+use std::sync::Arc;
+use uuid::Uuid;
+
+pub struct AuthService {
+    pub pool: PgPool,
+    pub redis: Option<Arc<ConnectionManager>>,
+}
+
+impl AuthService {
+    pub fn new(pool: PgPool, redis: Option<Arc<ConnectionManager>>) -> Self {
+        Self { pool, redis }
+    }
+
+    pub async fn verify_user(
+        &self,
+        username: &str,
+        password: &str,
+    ) -> Result<Option<Uuid>, Box<dyn std::error::Error>> {
+        // Try Redis cache first
+        if let Some(redis) = &self.redis {
+            let cache_key = format!("auth:user:{}", username);
+            if let Ok(user_id_str) = redis.clone().get::<_, String>(cache_key).await {
+                if let Ok(user_id) = Uuid::parse_str(&user_id_str) {
+                    return Ok(Some(user_id));
+                }
+            }
+        }
+
+        // Fallback to database
+        let user = sqlx::query(
+            "SELECT id, password_hash FROM users WHERE username = $1 AND is_active = true",
+        )
+        .bind(username)
+        .fetch_optional(&self.pool)
+        .await?;
+
+        if let Some(row) = user {
+            let user_id: Uuid = row.get("id");
+            let password_hash: String = row.get("password_hash");
+            let parsed_hash = PasswordHash::new(&password_hash)?;
+            if Argon2::default()
+                .verify_password(password.as_bytes(), &parsed_hash)
+                .is_ok()
+            {
+                // Cache in Redis
+                if let Some(redis) = &self.redis {
+                    let cache_key = format!("auth:user:{}", username);
+                    let _: () = redis
+                        .clone()
+                        .set_ex(cache_key, user_id.to_string(), 3600)
+                        .await?;
+                }
+                return Ok(Some(user_id));
+            }
+        }
+        Ok(None)
+    }
+
+    pub async fn create_user(
+        &self,
+        username: &str,
+        email: &str,
+        password: &str,
+    ) -> Result<Uuid, Box<dyn std::error::Error>> {
+        let salt = SaltString::generate(&mut OsRng);
+        let argon2 = Argon2::default();
+        let password_hash = argon2
+            .hash_password(password.as_bytes(), &salt)?
+            .to_string();
+
+        let user_id = sqlx::query(
+            "INSERT INTO users (username, email, password_hash) VALUES ($1, $2, $3) RETURNING id",
+        )
+        .bind(username)
+        .bind(email)
+        .bind(password_hash)
+        .fetch_one(&self.pool)
+        .await?
+        .get("id");
+
+        Ok(user_id)
+    }
+}

src/services/bot/orchestrator.rs

@@ -0,0 +1,884 @@
+use actix_cors::Cors;
+use actix_web::middleware::Logger;
+use actix_web::{web, App, HttpRequest, HttpResponse, HttpServer, Result};
+use actix_ws::Message;
+use chrono::Utc;
+use langchain_rust::{
+    chain::{Chain, LLMChain, LLMChainBuilder},
+    embedding::openai::openai_embedder::OpenAiEmbedder,
+    llm::openai::OpenAI,
+    memory::SimpleMemory,
+    prompt_args,
+    schemas::{Document, Message},
+    tools::{postgres::PostgreSQLEngine, SQLDatabaseBuilder},
+    vectorstore::qdrant::{Qdrant as LangChainQdrant, StoreBuilder},
+    vectorstore::{VecStoreOptions, VectorStore},
+};
+use log::info;
+use qdrant_client::qdrant::Qdrant as QdrantClient;
+use serde::{Deserialize, Serialize};
+use sqlx::{postgres::PgPoolOptions, PgPool};
+use std::collections::HashMap;
+use std::fs;
+use std::sync::Arc;
+use tokio::sync::{mpsc, Mutex};
+use uuid::Uuid;
+
+mod shared;
+use shared::*;
+
+mod services;
+
+use services::auth::AuthService;
+use services::channels::{ChannelAdapter, VoiceAdapter, WebChannelAdapter};
+use services::chart::ChartGenerator;
+use services::llm::{AnthropicClient, LLMProvider, MockLLMProvider, OpenAIClient};
+use services::session::SessionManager;
+use services::tools::ToolManager;
+use services::whatsapp::WhatsAppAdapter;
+
+pub struct BotOrchestrator {
+    session_manager: SessionManager,
+    tool_manager: ToolManager,
+    llm_provider: Arc<dyn LLMProvider>,
+    auth_service: AuthService,
+    channels: HashMap<String, Arc<dyn ChannelAdapter>>,
+    response_channels: Arc<Mutex<HashMap<String, mpsc::Sender<BotResponse>>>>,
+    chart_generator: Option<Arc<ChartGenerator>>,
+    vector_store: Option<Arc<LangChainQdrant<OpenAiEmbedder>>>,
+    sql_chain: Option<Arc<LLMChain>>,
+}
+
+impl BotOrchestrator {
+    fn new(
+        session_manager: SessionManager,
+        tool_manager: ToolManager,
+        llm_provider: Arc<dyn LLMProvider>,
+        auth_service: AuthService,
+        chart_generator: Option<Arc<ChartGenerator>>,
+        vector_store: Option<Arc<LangChainQdrant<OpenAiEmbedder>>>,
+        sql_chain: Option<Arc<LLMChain>>,
+    ) -> Self {
+        Self {
+            session_manager,
+            tool_manager,
+            llm_provider,
+            auth_service,
+            channels: HashMap::new(),
+            response_channels: Arc::new(Mutex::new(HashMap::new())),
+            chart_generator,
+            vector_store,
+            sql_chain,
+        }
+    }
+
+    fn add_channel(&mut self, channel_type: &str, adapter: Arc<dyn ChannelAdapter>) {
+        self.channels.insert(channel_type.to_string(), adapter);
+    }
+
+    async fn register_response_channel(
+        &self,
+        session_id: String,
+        sender: mpsc::Sender<BotResponse>,
+    ) {
+        self.response_channels
+            .lock()
+            .await
+            .insert(session_id, sender);
+    }
+
+    async fn set_user_answer_mode(
+        &self,
+        user_id: &str,
+        bot_id: &str,
+        mode: &str,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        self.session_manager
+            .update_answer_mode(user_id, bot_id, mode)
+            .await?;
+        Ok(())
+    }
+
+    async fn process_message(
+        &self,
+        message: UserMessage,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        info!(
+            "Processing message from channel: {}, user: {}",
+            message.channel, message.user_id
+        );
+
+        let user_id = Uuid::parse_str(&message.user_id).unwrap_or_else(|_| Uuid::new_v4());
+        let bot_id = Uuid::parse_str(&message.bot_id)
+            .unwrap_or_else(|_| Uuid::parse_str("00000000-0000-0000-0000-000000000000").unwrap());
+
+        let session = match self
+            .session_manager
+            .get_user_session(user_id, bot_id)
+            .await?
+        {
+            Some(session) => session,
+            None => {
+                self.session_manager
+                    .create_session(user_id, bot_id, "New Conversation")
+                    .await?
+            }
+        };
+
+        // Check if we're in tool mode and there's an active tool
+        if session.answer_mode == "tool" && session.current_tool.is_some() {
+            self.tool_manager
+                .provide_user_response(&message.user_id, &message.bot_id, message.content.clone())
+                .await?;
+            return Ok(());
+        }
+
+        self.session_manager
+            .save_message(
+                session.id,
+                user_id,
+                "user",
+                &message.content,
+                &message.message_type,
+            )
+            .await?;
+
+        // Handle different answer modes with LangChain integration
+        let response_content = match session.answer_mode.as_str() {
+            "document" => self.document_mode_handler(&message, &session).await?,
+            "chart" => self.chart_mode_handler(&message, &session).await?,
+            "database" => self.database_mode_handler(&message, &session).await?,
+            "tool" => self.tool_mode_handler(&message, &session).await?,
+            _ => self.direct_mode_handler(&message, &session).await?,
+        };
+
+        self.session_manager
+            .save_message(session.id, user_id, "assistant", &response_content, "text")
+            .await?;
+
+        let bot_response = BotResponse {
+            bot_id: message.bot_id,
+            user_id: message.user_id,
+            session_id: message.session_id,
+            channel: message.channel,
+            content: response_content,
+            message_type: "text".to_string(),
+            stream_token: None,
+            is_complete: true,
+        };
+
+        if let Some(adapter) = self.channels.get(&message.channel) {
+            adapter.send_message(bot_response).await?;
+        }
+
+        Ok(())
+    }
+
+    async fn document_mode_handler(
+        &self,
+        message: &UserMessage,
+        session: &UserSession,
+    ) -> Result<String, Box<dyn std::error::Error>> {
+        if let Some(vector_store) = &self.vector_store {
+            let similar_docs = vector_store
+                .similarity_search(&message.content, 3, &VecStoreOptions::default())
+                .await?;
+
+            let mut enhanced_prompt = format!("User question: {}\n\n", message.content);
+
+            if !similar_docs.is_empty() {
+                enhanced_prompt.push_str("Relevant documents:\n");
+                for (i, doc) in similar_docs.iter().enumerate() {
+                    enhanced_prompt.push_str(&format!("[Doc {}]: {}\n", i + 1, doc.page_content));
+                }
+                enhanced_prompt.push_str(
+                    "\nPlease answer the user's question based on the provided documents.",
+                );
+            }
+
+            self.llm_provider
+                .generate(&enhanced_prompt, &serde_json::Value::Null)
+                .await
+        } else {
+            self.direct_mode_handler(message, session).await
+        }
+    }
+
+    async fn chart_mode_handler(
+        &self,
+        message: &UserMessage,
+        session: &UserSession,
+    ) -> Result<String, Box<dyn std::error::Error>> {
+        if let Some(chart_generator) = &self.chart_generator {
+            let chart_response = chart_generator
+                .generate_chart(&message.content, "bar")
+                .await?;
+
+            // Store chart generation in history
+            self.session_manager
+                .save_message(
+                    session.id,
+                    session.user_id,
+                    "system",
+                    &format!("Generated chart for query: {}", message.content),
+                    "chart",
+                )
+                .await?;
+
+            Ok(format!(
+                "Chart generated for your query. Data retrieved: {}",
+                chart_response.sql_query
+            ))
+        } else {
+            // Fallback to document mode
+            self.document_mode_handler(message, session).await
+        }
+    }
+
+    async fn database_mode_handler(
+        &self,
+        message: &UserMessage,
+        session: &UserSession,
+    ) -> Result<String, Box<dyn std::error::Error>> {
+        if let Some(sql_chain) = &self.sql_chain {
+            let input_variables = prompt_args! {
+                "input" => message.content,
+            };
+
+            let result = sql_chain.invoke(input_variables).await?;
+            Ok(result.to_string())
+        } else {
+            // Use LangChain SQL database chain as fallback
+            let db_url = std::env::var("DATABASE_URL")?;
+            let engine = PostgreSQLEngine::new(&db_url).await?;
+            let db = SQLDatabaseBuilder::new(engine).build().await?;
+
+            let llm = OpenAI::default();
+            let chain = langchain_rust::chain::SQLDatabaseChainBuilder::new()
+                .llm(llm)
+                .top_k(5)
+                .database(db)
+                .build()?;
+
+            let input_variables = chain.prompt_builder().query(&message.content).build();
+            let result = chain.invoke(input_variables).await?;
+
+            Ok(result.to_string())
+        }
+    }
+
+    async fn tool_mode_handler(
+        &self,
+        message: &UserMessage,
+        session: &UserSession,
+    ) -> Result<String, Box<dyn std::error::Error>> {
+        // Check if we should start a tool
+        if message.content.to_lowercase().contains("calculator") {
+            if let Some(adapter) = self.channels.get(&message.channel) {
+                let (tx, _rx) = mpsc::channel(100);
+
+                self.register_response_channel(message.session_id.clone(), tx.clone())
+                    .await;
+
+                let tool_manager = self.tool_manager.clone();
+                let user_id_str = message.user_id.clone();
+                let bot_id_str = message.bot_id.clone();
+                let session_manager = self.session_manager.clone();
+
+                tokio::spawn(async move {
+                    tool_manager
+                        .execute_tool("calculator", &user_id_str, &bot_id_str, session_manager, tx)
+                        .await
+                        .unwrap_or_else(|e| {
+                            log::error!("Error executing tool: {}", e);
+                        });
+                });
+            }
+            Ok("Starting calculator tool...".to_string())
+        } else {
+            // Fall back to normal LLM response with tool context
+            let available_tools = self.tool_manager.list_tools();
+            let tools_context = if !available_tools.is_empty() {
+                format!("\n\nAvailable tools: {}. If the user needs calculations, suggest using the calculator tool.", available_tools.join(", "))
+            } else {
+                String::new()
+            };
+
+            let full_prompt = format!("{}{}", message.content, tools_context);
+
+            self.llm_provider
+                .generate(&full_prompt, &serde_json::Value::Null)
+                .await
+        }
+    }
+
+    async fn direct_mode_handler(
+        &self,
+        message: &UserMessage,
+        session: &UserSession,
+    ) -> Result<String, Box<dyn std::error::Error>> {
+        // Get conversation history for context using LangChain memory
+        let history = self
+            .session_manager
+            .get_conversation_history(session.id, session.user_id)
+            .await?;
+
+        let mut memory = SimpleMemory::new();
+        for (role, content) in history {
+            match role.as_str() {
+                "user" => memory.add_user_message(&content),
+                "assistant" => memory.add_ai_message(&content),
+                _ => {}
+            }
+        }
+
+        // Build prompt with memory context
+        let mut prompt = String::new();
+        if let Some(chat_history) = memory.get_chat_history() {
+            for message in chat_history {
+                prompt.push_str(&format!(
+                    "{}: {}\n",
+                    message.message_type(),
+                    message.content()
+                ));
+            }
+        }
+        prompt.push_str(&format!("User: {}\nAssistant:", message.content));
+
+        self.llm_provider
+            .generate(&prompt, &serde_json::Value::Null)
+            .await
+    }
+
+    async fn stream_response(
+        &self,
+        message: UserMessage,
+        mut response_tx: mpsc::Sender<BotResponse>,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        info!("Streaming response for user: {}", message.user_id);
+
+        let user_id = Uuid::parse_str(&message.user_id).unwrap_or_else(|_| Uuid::new_v4());
+        let bot_id = Uuid::parse_str(&message.bot_id)
+            .unwrap_or_else(|_| Uuid::parse_str("00000000-0000-0000-0000-000000000000").unwrap());
+
+        let session = match self
+            .session_manager
+            .get_user_session(user_id, bot_id)
+            .await?
+        {
+            Some(session) => session,
+            None => {
+                self.session_manager
+                    .create_session(user_id, bot_id, "New Conversation")
+                    .await?
+            }
+        };
+
+        if session.answer_mode == "tool" && session.current_tool.is_some() {
+            self.tool_manager
+                .provide_user_response(&message.user_id, &message.bot_id, message.content.clone())
+                .await?;
+            return Ok(());
+        }
+
+        self.session_manager
+            .save_message(
+                session.id,
+                user_id,
+                "user",
+                &message.content,
+                &message.message_type,
+            )
+            .await?;
+
+        // Get conversation history for streaming context
+        let history = self
+            .session_manager
+            .get_conversation_history(session.id, user_id)
+            .await?;
+
+        let mut memory = SimpleMemory::new();
+        for (role, content) in history {
+            match role.as_str() {
+                "user" => memory.add_user_message(&content),
+                "assistant" => memory.add_ai_message(&content),
+                _ => {}
+            }
+        }
+
+        let mut prompt = String::new();
+        if let Some(chat_history) = memory.get_chat_history() {
+            for message in chat_history {
+                prompt.push_str(&format!(
+                    "{}: {}\n",
+                    message.message_type(),
+                    message.content()
+                ));
+            }
+        }
+        prompt.push_str(&format!("User: {}\nAssistant:", message.content));
+
+        let (stream_tx, mut stream_rx) = mpsc::channel(100);
+        let llm_provider = self.llm_provider.clone();
+        let prompt_clone = prompt.clone();
+
+        tokio::spawn(async move {
+            let _ = llm_provider
+                .generate_stream(&prompt_clone, &serde_json::Value::Null, stream_tx)
+                .await;
+        });
+
+        let mut full_response = String::new();
+        while let Some(chunk) = stream_rx.recv().await {
+            full_response.push_str(&chunk);
+
+            let bot_response = BotResponse {
+                bot_id: message.bot_id.clone(),
+                user_id: message.user_id.clone(),
+                session_id: message.session_id.clone(),
+                channel: message.channel.clone(),
+                content: chunk,
+                message_type: "text".to_string(),
+                stream_token: None,
+                is_complete: false,
+            };
+
+            if response_tx.send(bot_response).await.is_err() {
+                break;
+            }
+        }
+
+        self.session_manager
+            .save_message(session.id, user_id, "assistant", &full_response, "text")
+            .await?;
+
+        let final_response = BotResponse {
+            bot_id: message.bot_id,
+            user_id: message.user_id,
+            session_id: message.session_id,
+            channel: message.channel,
+            content: "".to_string(),
+            message_type: "text".to_string(),
+            stream_token: None,
+            is_complete: true,
+        };
+
+        response_tx.send(final_response).await?;
+        Ok(())
+    }
+
+    async fn get_user_sessions(
+        &self,
+        user_id: Uuid,
+    ) -> Result<Vec<UserSession>, Box<dyn std::error::Error>> {
+        self.session_manager.get_user_sessions(user_id).await
+    }
+
+    async fn get_conversation_history(
+        &self,
+        session_id: Uuid,
+        user_id: Uuid,
+    ) -> Result<Vec<(String, String)>, Box<dyn std::error::Error>> {
+        self.session_manager
+            .get_conversation_history(session_id, user_id)
+            .await
+    }
+
+    pub async fn process_message_with_tools(
+        &self,
+        message: UserMessage,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        info!(
+            "Processing message with tools from user: {}",
+            message.user_id
+        );
+
+        let user_id = Uuid::parse_str(&message.user_id).unwrap_or_else(|_| Uuid::new_v4());
+        let bot_id = Uuid::parse_str(&message.bot_id)
+            .unwrap_or_else(|_| Uuid::parse_str("00000000-0000-0000-0000-000000000000").unwrap());
+
+        let session = match self
+            .session_manager
+            .get_user_session(user_id, bot_id)
+            .await?
+        {
+            Some(session) => session,
+            None => {
+                self.session_manager
+                    .create_session(user_id, bot_id, "New Conversation")
+                    .await?
+            }
+        };
+
+        self.session_manager
+            .save_message(
+                session.id,
+                user_id,
+                "user",
+                &message.content,
+                &message.message_type,
+            )
+            .await?;
+
+        // Check if we're in a tool conversation
+        let is_tool_waiting = self
+            .tool_manager
+            .is_tool_waiting(&message.session_id)
+            .await
+            .unwrap_or(false);
+
+        if is_tool_waiting {
+            // Provide input to the running tool
+            self.tool_manager
+                .provide_input(&message.session_id, &message.content)
+                .await?;
+
+            // Get tool output and send it as a response
+            if let Ok(tool_output) = self.tool_manager.get_tool_output(&message.session_id).await {
+                for output in tool_output {
+                    let bot_response = BotResponse {
+                        bot_id: message.bot_id.clone(),
+                        user_id: message.user_id.clone(),
+                        session_id: message.session_id.clone(),
+                        channel: message.channel.clone(),
+                        content: output,
+                        message_type: "text".to_string(),
+                        stream_token: None,
+                        is_complete: true,
+                    };
+
+                    if let Some(adapter) = self.channels.get(&message.channel) {
+                        adapter.send_message(bot_response).await?;
+                    }
+                }
+            }
+            return Ok(());
+        }
+
+        // Normal LLM processing with tool awareness
+        let available_tools = self.tool_manager.list_tools();
+        let tools_context = if !available_tools.is_empty() {
+            format!("\n\nAvailable tools: {}. If the user needs calculations, suggest using the calculator tool.", available_tools.join(", "))
+        } else {
+            String::new()
+        };
+
+        let full_prompt = format!("{}{}", message.content, tools_context);
+
+        // Simple tool detection (in a real system, this would be LLM-driven)
+        let response = if message.content.to_lowercase().contains("calculator")
+            || message.content.to_lowercase().contains("calculate")
+            || message.content.to_lowercase().contains("math")
+        {
+            // Start calculator tool
+            match self
+                .tool_manager
+                .execute_tool("calculator", &message.session_id, &message.user_id)
+                .await
+            {
+                Ok(tool_result) => {
+                    // Save tool start message
+                    self.session_manager
+                        .save_message(
+                            session.id,
+                            user_id,
+                            "assistant",
+                            &tool_result.output,
+                            "tool_start",
+                        )
+                        .await?;
+
+                    tool_result.output
+                }
+                Err(e) => {
+                    format!("I encountered an error starting the calculator: {}", e)
+                }
+            }
+        } else {
+            // Normal LLM response
+            self.llm_provider
+                .generate(&full_prompt, &serde_json::Value::Null)
+                .await?
+        };
+
+        self.session_manager
+            .save_message(session.id, user_id, "assistant", &response, "text")
+            .await?;
+
+        let bot_response = BotResponse {
+            bot_id: message.bot_id,
+            user_id: message.user_id,
+            session_id: message.session_id,
+            channel: message.channel,
+            content: response,
+            message_type: "text".to_string(),
+            stream_token: None,
+            is_complete: true,
+        };
+
+        if let Some(adapter) = self.channels.get(&message.channel) {
+            adapter.send_message(bot_response).await?;
+        }
+
+        Ok(())
+    }
+}
+
+struct AppState {
+    orchestrator: Arc<BotOrchestrator>,
+    web_adapter: Arc<WebChannelAdapter>,
+    voice_adapter: Arc<VoiceAdapter>,
+    whatsapp_adapter: Arc<WhatsAppAdapter>,
+}
+
+#[actix_web::get("/ws")]
+async fn websocket_handler(
+    req: HttpRequest,
+    stream: web::Payload,
+    data: web::Data<AppState>,
+) -> Result<HttpResponse, actix_web::Error> {
+    let (res, mut session, mut msg_stream) = actix_ws::handle(&req, stream)?;
+    let session_id = Uuid::new_v4().to_string();
+    let (tx, mut rx) = mpsc::channel::<BotResponse>(100);
+
+    data.orchestrator
+        .register_response_channel(session_id.clone(), tx.clone())
+        .await;
+    data.web_adapter
+        .add_connection(session_id.clone(), tx.clone())
+        .await;
+    data.voice_adapter
+        .add_connection(session_id.clone(), tx.clone())
+        .await;
+
+    let orchestrator = data.orchestrator.clone();
+    let web_adapter = data.web_adapter.clone();
+
+    actix_web::rt::spawn(async move {
+        while let Some(msg) = rx.recv().await {
+            if let Ok(json) = serde_json::to_string(&msg) {
+                let _ = session.text(json).await;
+            }
+        }
+    });
+
+    actix_web::rt::spawn(async move {
+        while let Some(Ok(msg)) = msg_stream.recv().await {
+            match msg {
+                Message::Text(text) => {
+                    let user_message = UserMessage {
+                        bot_id: "default_bot".to_string(),
+                        user_id: "default_user".to_string(),
+                        session_id: session_id.clone(),
+                        channel: "web".to_string(),
+                        content: text.to_string(),
+                        message_type: "text".to_string(),
+                        media_url: None,
+                        timestamp: Utc::now(),
+                    };
+
+                    if let Err(e) = orchestrator.stream_response(user_message, tx.clone()).await {
+                        info!("Error processing message: {}", e);
+                    }
+                }
+                Message::Close(_) => {
+                    web_adapter.remove_connection(&session_id).await;
+                    break;
+                }
+                _ => {}
+            }
+        }
+    });
+
+    Ok(res)
+}
+
+#[actix_web::get("/api/whatsapp/webhook")]
+async fn whatsapp_webhook_verify(
+    data: web::Data<AppState>,
+    web::Query(params): web::Query<HashMap<String, String>>,
+) -> Result<HttpResponse> {
+    let mode = params.get("hub.mode").unwrap_or(&"".to_string());
+    let token = params.get("hub.verify_token").unwrap_or(&"".to_string());
+    let challenge = params.get("hub.challenge").unwrap_or(&"".to_string());
+
+    match data.whatsapp_adapter.verify_webhook(mode, token, challenge) {
+        Ok(challenge_response) => Ok(HttpResponse::Ok().body(challenge_response)),
+        Err(_) => Ok(HttpResponse::Forbidden().body("Verification failed")),
+    }
+}
+
+#[actix_web::post("/api/whatsapp/webhook")]
+async fn whatsapp_webhook(
+    data: web::Data<AppState>,
+    payload: web::Json<services::whatsapp::WhatsAppMessage>,
+) -> Result<HttpResponse> {
+    match data
+        .whatsapp_adapter
+        .process_incoming_message(payload.into_inner())
+        .await
+    {
+        Ok(user_messages) => {
+            for user_message in user_messages {
+                if let Err(e) = data.orchestrator.process_message(user_message).await {
+                    log::error!("Error processing WhatsApp message: {}", e);
+                }
+            }
+            Ok(HttpResponse::Ok().body(""))
+        }
+        Err(e) => {
+            log::error!("Error processing WhatsApp webhook: {}", e);
+            Ok(HttpResponse::BadRequest().body("Invalid message"))
+        }
+    }
+}
+
+#[actix_web::post("/api/voice/start")]
+async fn voice_start(
+    data: web::Data<AppState>,
+    info: web::Json<serde_json::Value>,
+) -> Result<HttpResponse> {
+    let session_id = info
+        .get("session_id")
+        .and_then(|s| s.as_str())
+        .unwrap_or("");
+    let user_id = info
+        .get("user_id")
+        .and_then(|u| u.as_str())
+        .unwrap_or("user");
+
+    match data
+        .voice_adapter
+        .start_voice_session(session_id, user_id)
+        .await
+    {
+        Ok(token) => {
+            Ok(HttpResponse::Ok().json(serde_json::json!({"token": token, "status": "started"})))
+        }
+        Err(e) => {
+            Ok(HttpResponse::InternalServerError()
+                .json(serde_json::json!({"error": e.to_string()})))
+        }
+    }
+}
+
+#[actix_web::post("/api/voice/stop")]
+async fn voice_stop(
+    data: web::Data<AppState>,
+    info: web::Json<serde_json::Value>,
+) -> Result<HttpResponse> {
+    let session_id = info
+        .get("session_id")
+        .and_then(|s| s.as_str())
+        .unwrap_or("");
+
+    match data.voice_adapter.stop_voice_session(session_id).await {
+        Ok(()) => Ok(HttpResponse::Ok().json(serde_json::json!({"status": "stopped"}))),
+        Err(e) => {
+            Ok(HttpResponse::InternalServerError()
+                .json(serde_json::json!({"error": e.to_string()})))
+        }
+    }
+}
+
+#[actix_web::post("/api/sessions")]
+async fn create_session(data: web::Data<AppState>) -> Result<HttpResponse> {
+    let session_id = Uuid::new_v4();
+    Ok(HttpResponse::Ok().json(serde_json::json!({
+        "session_id": session_id,
+        "title": "New Conversation",
+        "created_at": Utc::now()
+    })))
+}
+
+#[actix_web::get("/api/sessions")]
+async fn get_sessions(data: web::Data<AppState>) -> Result<HttpResponse> {
+    let user_id = Uuid::parse_str("00000000-0000-0000-0000-000000000001").unwrap();
+    match data.orchestrator.get_user_sessions(user_id).await {
+        Ok(sessions) => Ok(HttpResponse::Ok().json(sessions)),
+        Err(e) => {
+            Ok(HttpResponse::InternalServerError()
+                .json(serde_json::json!({"error": e.to_string()})))
+        }
+    }
+}
+
+#[actix_web::get("/api/sessions/{session_id}")]
+async fn get_session_history(
+    data: web::Data<AppState>,
+    path: web::Path<String>,
+) -> Result<HttpResponse> {
+    let session_id = path.into_inner();
+    let user_id = Uuid::parse_str("00000000-0000-0000-0000-000000000001").unwrap();
+
+    match Uuid::parse_str(&session_id) {
+        Ok(session_uuid) => {
+            match data
+                .orchestrator
+                .get_conversation_history(session_uuid, user_id)
+                .await
+            {
+                Ok(history) => Ok(HttpResponse::Ok().json(history)),
+                Err(e) => Ok(HttpResponse::InternalServerError()
+                    .json(serde_json::json!({"error": e.to_string()}))),
+            }
+        }
+        Err(_) => {
+            Ok(HttpResponse::BadRequest().json(serde_json::json!({"error": "Invalid session ID"})))
+        }
+    }
+}
+
+#[actix_web::post("/api/set_mode")]
+async fn set_mode_handler(
+    data: web::Data<AppState>,
+    info: web::Json<HashMap<String, String>>,
+) -> Result<HttpResponse> {
+    let default_user = "default_user".to_string();
+    let default_bot = "default_bot".to_string();
+    let default_mode = "direct".to_string();
+
+    let user_id = info.get("user_id").unwrap_or(&default_user);
+    let bot_id = info.get("bot_id").unwrap_or(&default_bot);
+    let mode = info.get("mode").unwrap_or(&default_mode);
+
+    if let Err(e) = data
+        .orchestrator
+        .set_user_answer_mode(user_id, bot_id, mode)
+        .await
+    {
+        return Ok(
+            HttpResponse::InternalServerError().json(serde_json::json!({"error": e.to_string()}))
+        );
+    }
+
+    Ok(HttpResponse::Ok().json(serde_json::json!({"status": "mode_updated"})))
+}
+
+#[actix_web::get("/")]
+async fn index() -> Result<HttpResponse> {
+    let html = fs::read_to_string("templates/index.html")
+        .unwrap_or_else(|_| include_str!("../templates/index.html").to_string());
+    Ok(HttpResponse::Ok().content_type("text/html").body(html))
+}
+
+#[actix_web::get("/static/{filename:.*}")]
+async fn static_files(req: HttpRequest) -> Result<HttpResponse> {
+    let filename = req.match_info().query("filename");
+    let path = format!("static/{}", filename);
+
+    match fs::read(&path) {
+        Ok(content) => {
+            let content_type = match filename {
+                f if f.ends_with(".js") => "application/javascript",
+                f if f.ends_with(".css") => "text/css",
+                f if f.ends_with(".png") => "image/png",
+                f if f.ends_with(".jpg") | f.ends_with(".jpeg") => "image/jpeg",
+                _ => "text/plain",
+            };
+
+            Ok(HttpResponse::Ok().content_type(content_type).body(content))
+        }
+        Err(_) => Ok(HttpResponse::NotFound().body("File not found")),
+    }
+}

src/services/channels/mod.rs

@@ -0,0 +1,153 @@
+use async_trait::async_trait;
+use livekit::{AccessToken, Room, RoomOptions, DataPacketKind};
+use log::info;
+use tokio::sync::{mpsc, Mutex};
+use std::collections::HashMap;
+use std::sync::Arc;
+use chrono::Utc;
+
+use crate::shared::{UserMessage, BotResponse};
+
+#[async_trait]
+pub trait ChannelAdapter: Send + Sync {
+    async fn send_message(&self, response: BotResponse) -> Result<(), Box<dyn std::error::Error>>;
+}
+
+pub struct WebChannelAdapter {
+    connections: Arc<Mutex<HashMap<String, mpsc::Sender<BotResponse>>>>,
+}
+
+impl WebChannelAdapter {
+    pub fn new() -> Self {
+        Self {
+            connections: Arc::new(Mutex::new(HashMap::new())),
+        }
+    }
+
+    pub async fn add_connection(&self, session_id: String, tx: mpsc::Sender<BotResponse>) {
+        self.connections.lock().await.insert(session_id, tx);
+    }
+
+    pub async fn remove_connection(&self, session_id: &str) {
+        self.connections.lock().await.remove(session_id);
+    }
+}
+
+#[async_trait]
+impl ChannelAdapter for WebChannelAdapter {
+    async fn send_message(&self, response: BotResponse) -> Result<(), Box<dyn std::error::Error>> {
+        let connections = self.connections.lock().await;
+        if let Some(tx) = connections.get(&response.session_id) {
+            tx.send(response).await?;
+        }
+        Ok(())
+    }
+}
+
+pub struct VoiceAdapter {
+    livekit_url: String,
+    api_key: String,
+    api_secret: String,
+    rooms: Arc<Mutex<HashMap<String, Room>>>,
+    connections: Arc<Mutex<HashMap<String, mpsc::Sender<BotResponse>>>>,
+}
+
+impl VoiceAdapter {
+    pub fn new(livekit_url: String, api_key: String, api_secret: String) -> Self {
+        Self {
+            livekit_url,
+            api_key,
+            api_secret,
+            rooms: Arc::new(Mutex::new(HashMap::new())),
+            connections: Arc::new(Mutex::new(HashMap::new())),
+        }
+    }
+
+    pub async fn start_voice_session(&self, session_id: &str, user_id: &str) -> Result<String, Box<dyn std::error::Error>> {
+        let token = AccessToken::with_api_key(&self.api_key, &self.api_secret)
+            .with_identity(user_id)
+            .with_name(user_id)
+            .with_room_name(session_id)
+            .with_room_join(true)
+            .to_jwt()?;
+
+        let room_options = RoomOptions {
+            auto_subscribe: true,
+            ..Default::default()
+        };
+
+        let (room, mut events) = Room::connect(&self.livekit_url, &token, room_options).await?;
+        self.rooms.lock().await.insert(session_id.to_string(), room.clone());
+
+        let rooms_clone = self.rooms.clone();
+        let connections_clone = self.connections.clone();
+        let session_id_clone = session_id.to_string();
+
+        tokio::spawn(async move {
+            while let Some(event) = events.recv().await {
+                match event {
+                    livekit::prelude::RoomEvent::DataReceived(data_packet) => {
+                        if let Ok(message) = serde_json::from_slice::<UserMessage>(&data_packet.data) {
+                            info!("Received voice message: {}", message.content);
+                            if let Some(tx) = connections_clone.lock().await.get(&message.session_id) {
+                                let _ = tx.send(BotResponse {
+                                    bot_id: message.bot_id,
+                                    user_id: message.user_id,
+                                    session_id: message.session_id,
+                                    channel: "voice".to_string(),
+                                    content: format!("🎤 Voice: {}", message.content),
+                                    message_type: "voice".to_string(),
+                                    stream_token: None,
+                                    is_complete: true,
+                                }).await;
+                            }
+                        }
+                    }
+                    livekit::prelude::RoomEvent::TrackSubscribed(track, publication, participant) => {
+                        info!("Voice track subscribed from {}", participant.identity());
+                    }
+                    _ => {}
+                }
+            }
+            rooms_clone.lock().await.remove(&session_id_clone);
+        });
+
+        Ok(token)
+    }
+
+    pub async fn stop_voice_session(&self, session_id: &str) -> Result<(), Box<dyn std::error::Error>> {
+        if let Some(room) = self.rooms.lock().await.remove(session_id) {
+            room.disconnect();
+        }
+        Ok(())
+    }
+
+    pub async fn add_connection(&self, session_id: String, tx: mpsc::Sender<BotResponse>) {
+        self.connections.lock().await.insert(session_id, tx);
+    }
+
+    pub async fn send_voice_response(&self, session_id: &str, text: &str) -> Result<(), Box<dyn std::error::Error>> {
+        if let Some(room) = self.rooms.lock().await.get(session_id) {
+            let voice_response = serde_json::json!({
+                "type": "voice_response",
+                "text": text,
+                "timestamp": Utc::now()
+            });
+
+            room.local_participant().publish_data(
+                serde_json::to_vec(&voice_response)?,
+                DataPacketKind::Reliable,
+                &[],
+            )?;
+        }
+        Ok(())
+    }
+}
+
+#[async_trait]
+impl ChannelAdapter for VoiceAdapter {
+    async fn send_message(&self, response: BotResponse) -> Result<(), Box<dyn std::error::Error>> {
+        info!("Sending voice response to: {}", response.user_id);
+        self.send_voice_response(&response.session_id, &response.content).await
+    }
+}

src/services/chart/chart.rs

@@ -0,0 +1,92 @@
+use langchain_rust::{
+    chain::{Chain, SQLDatabaseChainBuilder, options::ChainCallOptions},
+    llm::openai::OpenAI,
+    tools::{postgres::PostgreSQLEngine, SQLDatabaseBuilder},
+    prompt::PromptTemplate,
+};
+
+pub struct ChartGenerator {
+    sql_chain: SQLDatabaseChainBuilder,
+    llm: OpenAI,
+}
+
+impl ChartGenerator {
+    pub async fn new(database_url: &str) -> Result<Self, Box<dyn std::error::Error>> {
+        let llm = OpenAI::default();
+        let engine = PostgreSQLEngine::new(database_url).await?;
+        let db = SQLDatabaseBuilder::new(engine).build().await?;
+
+        let sql_chain = SQLDatabaseChainBuilder::new()
+            .llm(llm.clone())
+            .top_k(4)
+            .database(db);
+
+        Ok(Self {
+            sql_chain,
+            llm,
+        })
+    }
+
+    pub async fn generate_chart(
+        &self,
+        question: &str,
+        chart_type: &str
+    ) -> Result<ChartResponse, Box<dyn std::error::Error>> {
+        // Step 1: Generate SQL using LangChain
+        let sql_result = self.generate_sql(question).await?;
+
+        // Step 2: Execute SQL and get data
+        let data = self.execute_sql(&sql_result).await?;
+
+        // Step 3: Generate chart configuration using LLM
+        let chart_config = self.generate_chart_config(&data, chart_type).await?;
+
+        // Step 4: Generate and render chart
+        let chart_image = self.render_chart(&chart_config).await?;
+
+        Ok(ChartResponse {
+            sql_query: sql_result,
+            data,
+            chart_image,
+            chart_config,
+        })
+    }
+
+    async fn generate_sql(&self, question: &str) -> Result<String, Box<dyn std::error::Error>> {
+        let chain = self.sql_chain
+            .clone()
+            .build()
+            .expect("Failed to build SQL chain");
+
+        let input_variables = chain.prompt_builder().query(question).build();
+        let result = chain.invoke(input_variables).await?;
+
+        Ok(result.to_string())
+    }
+
+    async fn execute_sql(&self, query: &str) -> Result<Value, Box<dyn std::error::Error>> {
+        // Execute the generated SQL and return structured data
+        // Implementation depends on your database setup
+        Ok(Value::Null)
+    }
+
+    async fn generate_chart_config(&self, data: &Value, chart_type: &str) -> Result<Value, Box<dyn std::error::Error>> {
+        let prompt = format!(
+            "Given this data: {} and chart type: {}, generate a billboard.js configuration JSON. \
+            Focus on creating meaningful visualizations for this business data.",
+            data, chart_type
+        );
+
+        let message = HumanMessage::new(prompt);
+        let result = self.llm.invoke(&[message]).await?;
+
+        serde_json::from_str(&result.generation)
+            .map_err(|e| e.into())
+    }
+
+    async fn render_chart(&self, config: &Value) -> Result<Vec<u8>, Box<dyn std::error::Error>> {
+        // Use headless browser to render chart and capture as image
+        // This would integrate with your browser automation setup
+        Ok(vec![])
+    }
+}

src/services/context/mod.rs

@@ -0,0 +1,97 @@
+use async_trait::async_trait;
+use langchain_rust::{
+    embedding::openai::openai_embedder::OpenAiEmbedder,
+    vectorstore::qdrant::{Qdrant, StoreBuilder},
+    vectorstore::{VectorStore, VecStoreOptions},
+    schemas::Document,
+};
+use qdrant_client::qdrant::Qdrant as QdrantClient;
+use sqlx::PgPool;
+use uuid::Uuid;
+
+#[async_trait]
+pub trait ContextProvider: Send + Sync {
+    async fn get_context(&self, session_id: Uuid, user_id: Uuid, query: &str) -> Result<String, Box<dyn std::error::Error>>;
+    async fn store_embedding(&self, text: &str, embedding: Vec<f32>, metadata: Value) -> Result<(), Box<dyn std::error::Error>>;
+    async fn search_similar(&self, embedding: Vec<f32>, limit: u32) -> Result<Vec<SearchResult>, Box<dyn std::error::Error>>;
+}
+
+pub struct LangChainContextProvider {
+    pool: PgPool,
+    vector_store: Qdrant,
+    embedder: OpenAiEmbedder,
+}
+
+impl LangChainContextProvider {
+    pub async fn new(pool: PgPool, qdrant_url: &str) -> Result<Self, Box<dyn std::error::Error>> {
+        let embedder = OpenAiEmbedder::default();
+
+        let client = QdrantClient::from_url(qdrant_url).build()?;
+        let vector_store = StoreBuilder::new()
+            .embedder(embedder.clone())
+            .client(client)
+            .collection_name("conversations")
+            .build()
+            .await?;
+
+        Ok(Self {
+            pool,
+            vector_store,
+            embedder,
+        })
+    }
+}
+
+#[async_trait]
+impl ContextProvider for LangChainContextProvider {
+    async fn get_context(&self, session_id: Uuid, user_id: Uuid, query: &str) -> Result<String, Box<dyn std::error::Error>> {
+        // Get conversation history
+        let history = sqlx::query(
+            "SELECT role, content_encrypted FROM message_history
+             WHERE session_id = $1 AND user_id = $2
+             ORDER BY message_index DESC LIMIT 5"
+        )
+        .bind(session_id)
+        .bind(user_id)
+        .fetch_all(&self.pool)
+        .await?;
+
+        let mut context = String::from("Conversation history:\n");
+        for row in history.iter().rev() {
+            let role: String = row.get("role");
+            let content: String = row.get("content_encrypted");
+            context.push_str(&format!("{}: {}\n", role, content));
+        }
+
+        // Search for similar documents using LangChain
+        let similar_docs = self.vector_store
+            .similarity_search(query, 3, &VecStoreOptions::default())
+            .await?;
+
+        if !similar_docs.is_empty() {
+            context.push_str("\nRelevant context:\n");
+            for doc in similar_docs {
+                context.push_str(&format!("- {}\n", doc.page_content));
+            }
+        }
+
+        context.push_str(&format!("\nCurrent message: {}", query));
+        Ok(context)
+    }
+
+    async fn store_embedding(&self, text: &str, embedding: Vec<f32>, metadata: Value) -> Result<(), Box<dyn std::error::Error>> {
+        let document = Document::new(text).with_metadata(metadata);
+
+        self.vector_store
+            .add_documents(&[document], &VecStoreOptions::default())
+            .await?;
+
+        Ok(())
+    }
+
+    async fn search_similar(&self, embedding: Vec<f32>, limit: u32) -> Result<Vec<SearchResult>, Box<dyn std::error::Error>> {
+        // LangChain handles this through the vector store interface
+        // This method would need adaptation to work with LangChain's search patterns
+        Ok(vec![])
+    }
+}

src/services/llm/mod.rs

@@ -0,0 +1,121 @@
+use async_trait::async_trait;
+use futures::StreamExt;
+use langchain_rust::{
+    language_models::llm::LLM,
+    llm::{claude::Claude, openai::OpenAI},
+    schemas::Message,
+};
+use serde_json::Value;
+use tokio::sync::mpsc;
+pub mod llm_generic;
+pub mod llm_local;
+pub mod llm_provider;
+
+#[async_trait]
+pub trait LLMProvider: Send + Sync {
+    async fn generate(
+        &self,
+        prompt: &str,
+        config: &Value,
+    ) -> Result<String, Box<dyn std::error::Error + Send + Sync>>;
+
+    async fn generate_stream(
+        &self,
+        prompt: &str,
+        config: &Value,
+        tx: mpsc::Sender<String>,
+    ) -> Result<(), Box<dyn std::error::Error + Send + Sync>>;
+
+    // Add tool calling capability
+    async fn generate_with_tools(
+        &self,
+        prompt: &str,
+        config: &serde_json::Value,
+        available_tools: &[String],
+        tool_manager: Arc<tools::ToolManager>,
+        session_id: &str,
+        user_id: &str,
+    ) -> Result<String, Box<dyn std::error::Error>>;
+}
+
+pub struct OpenAIClient<C>
+where
+    C: langchain_rust::llm::Config,
+{
+    client: OpenAI<C>,
+}
+
+impl<C> OpenAIClient<C>
+where
+    C: langchain_rust::llm::Config,
+{
+    pub fn new(config: C) -> Self {
+        let client = OpenAI::new(config);
+        Self { client }
+    }
+}
+
+#[async_trait]
+impl<C> LLMProvider for OpenAIClient<C>
+where
+    C: langchain_rust::llm::Config + Send + Sync,
+{
+    async fn generate(
+        &self,
+        prompt: &str,
+        _config: &Value,
+    ) -> Result<String, Box<dyn std::error::Error + Send + Sync>> {
+        // Call the underlying OpenAI client with the raw prompt string.
+        let result = self
+            .client
+            .invoke(prompt)
+            .await
+            .map_err(|e| Box::new(e) as Box<dyn std::error::Error + Send + Sync>)?;
+
+        Ok(result)
+    }
+
+    async fn generate_stream(
+        &self,
+        prompt: &str,
+        _config: &Value,
+        mut tx: mpsc::Sender<String>,
+    ) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
+        // Build a message vector for the OpenAI streaming API
+        let messages = vec![Message::new_human_message(prompt.to_string())];
+
+        let mut stream = self
+            .client
+            .stream(&messages)
+            .await
+            .map_err(|e| Box::new(e) as Box<dyn std::error::Error + Send + Sync>)?;
+
+        while let Some(result) = stream.next().await {
+            match result {
+                Ok(chunk) => {
+                    // The `content` field is accessed directly (no method).
+                    let content = chunk.content;
+                    if !content.is_empty() {
+                        let _ = tx.send(content.to_string()).await;
+                    }
+                }
+                Err(e) => {
+                    eprintln!("Stream error: {}", e);
+                }
+            }
+        }
+
+        Ok(())
+    }
+}
+
+pub struct AnthropicClient {
+    client: Claude,
+}
+
+impl AnthropicClient {
+    pub fn new(api_key: String) -> Self {
+        let client = Claude::default().with_api_key(api_key);
+        Self { client }
+    }
+}

src/services/mod.rs

@@ -1,13 +1,17 @@
+pub mod auth;
 pub mod automation;
+pub mod channels;
 pub mod config;
+pub mod context;
 pub mod email;
 pub mod file;
-pub mod keywords;
 pub mod llm;
 pub mod llm_generic;
 pub mod llm_local;
-pub mod llm_provider;
+pub mod orchestrator;
-pub mod script;
+pub mod session;
+pub mod shared;
 pub mod state;
-pub mod utils;
+pub mod tools;
 pub mod web_automation;
+pub mod whatsapp;

src/services/session/mod.rs

@@ -0,0 +1,175 @@
+use crate::services::shared::shared::UserSession;
+use sqlx::Row;
+
+use redis::{aio::Connection as ConnectionManager, AsyncCommands};
+use serde_json;
+use sqlx::PgPool;
+use std::sync::Arc;
+use uuid::Uuid;
+
+pub struct SessionManager {
+    pub pool: PgPool,
+    pub redis: Option<Arc<ConnectionManager>>,
+}
+
+impl SessionManager {
+    pub fn new(pool: PgPool, redis: Option<Arc<ConnectionManager>>) -> Self {
+        Self { pool, redis }
+    }
+
+    pub async fn get_user_session(
+        &self,
+        user_id: Uuid,
+        bot_id: Uuid,
+    ) -> Result<Option<UserSession>, Box<dyn std::error::Error>> {
+        // Try Redis cache first
+        if let Some(redis) = &self.redis {
+            let cache_key = format!("session:{}:{}", user_id, bot_id);
+            let mut conn = redis.clone().lock().await;
+            if let Ok(session_json) = conn.get::<_, String>(cache_key).await {
+                if let Ok(session) = serde_json::from_str::<UserSession>(&session_json) {
+                    return Ok(Some(session));
+                }
+            }
+        }
+
+        // Fallback to database
+        let session = sqlx::query_as(
+            "SELECT * FROM user_sessions WHERE user_id = $1 AND bot_id = $2 ORDER BY updated_at DESC LIMIT 1"
+        )
+        .bind(user_id)
+        .bind(bot_id)
+        .fetch_optional(&self.pool)
+        .await?;
+
+        // Cache in Redis if found
+        if let Some(ref session) = session {
+            if let Some(redis) = &self.redis {
+                let cache_key = format!("session:{}:{}", user_id, bot_id);
+                let session_json = serde_json::to_string(session)?;
+                let mut conn = redis.clone().lock().await;
+                let _: () = conn.set_ex(cache_key, session_json, 1800).await?;
+            }
+        }
+
+        Ok(session)
+    }
+
+    pub async fn create_session(
+        &self,
+        user_id: Uuid,
+        bot_id: Uuid,
+        title: &str,
+    ) -> Result<UserSession, Box<dyn std::error::Error>> {
+        log::info!(
+            "Creating new session for user: {}, bot: {}",
+            user_id,
+            bot_id
+        );
+        let session = sqlx::query_as(
+            "INSERT INTO user_sessions (user_id, bot_id, title) VALUES ($1, $2, $3) RETURNING *",
+        )
+        .bind(user_id)
+        .bind(bot_id)
+        .bind(title)
+        .fetch_one(&self.pool)
+        .await?;
+
+        // Cache in Redis
+        if let Some(redis) = &self.redis {
+            let cache_key = format!("session:{}:{}", user_id, bot_id);
+            let session_json = serde_json::to_string(&session)?;
+            let _: () = redis.clone().set_ex(cache_key, session_json, 1800).await?;
+        }
+
+        Ok(session)
+    }
+
+    pub async fn save_message(
+        &self,
+        session_id: Uuid,
+        user_id: Uuid,
+        role: &str,
+        content: &str,
+        message_type: &str,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        let message_count: i32 =
+            sqlx::query("SELECT COUNT(*) as count FROM message_history WHERE session_id = $1")
+                .bind(session_id)
+                .fetch_one(&self.pool)
+                .await?
+                .get("count");
+
+        sqlx::query(
+            "INSERT INTO message_history (session_id, user_id, role, content_encrypted, message_type, message_index)
+             VALUES ($1, $2, $3, $4, $5, $6)"
+        )
+        .bind(session_id)
+        .bind(user_id)
+        .bind(role)
+        .bind(content) // Note: Encryption removed for simplicity
+        .bind(message_type)
+        .bind(message_count + 1)
+        .execute(&self.pool)
+        .await?;
+
+        sqlx::query("UPDATE user_sessions SET updated_at = NOW() WHERE id = $1")
+            .bind(session_id)
+            .execute(&self.pool)
+            .await?;
+
+        // Invalidate session cache
+        if let Some(redis) = &self.redis {
+            let session: Option<(Uuid, Uuid)> =
+                sqlx::query_as("SELECT user_id, bot_id FROM user_sessions WHERE id = $1")
+                    .bind(session_id)
+                    .fetch_optional(&self.pool)
+                    .await?;
+
+            if let Some((user_id, bot_id)) = session {
+                let cache_key = format!("session:{}:{}", user_id, bot_id);
+                let _: () = redis.clone().del(cache_key).await?;
+            }
+        }
+
+        Ok(())
+    }
+
+    pub async fn get_conversation_history(
+        &self,
+        session_id: Uuid,
+        user_id: Uuid,
+    ) -> Result<Vec<(String, String)>, Box<dyn std::error::Error>> {
+        let messages = sqlx::query(
+            "SELECT role, content_encrypted FROM message_history
+             WHERE session_id = $1 AND user_id = $2
+             ORDER BY message_index ASC",
+        )
+        .bind(session_id)
+        .bind(user_id)
+        .fetch_all(&self.pool)
+        .await?;
+
+        let mut history = Vec::new();
+        for row in messages {
+            let role: String = row.get("role");
+            let content: String = row.get("content_encrypted"); // No decryption needed
+            history.push((role, content));
+        }
+        Ok(history)
+    }
+
+    pub async fn get_user_sessions(
+        &self,
+        user_id: Uuid,
+    ) -> Result<Vec<UserSession>, Box<dyn std::error::Error>> {
+        // For lists, we'll just use database
+        let sessions = sqlx::query_as(
+            "SELECT * FROM user_sessions WHERE user_id = $1 ORDER BY updated_at DESC",
+        )
+        .bind(user_id)
+        .fetch_all(&self.pool)
+        .await?;
+        Ok(sessions)
+    }
+}

src/services/shared/mod.rs

@@ -0,0 +1,3 @@
+pub mod shared;
+pub mod state;
+pub mod utils;

src/services/shared/shared.rs

@@ -0,0 +1,58 @@
+use chrono::{DateTime, Utc};
+use serde::{Deserialize, Serialize};
+use sqlx::FromRow;
+use uuid::Uuid;
+
+#[derive(Debug, Clone, Serialize, Deserialize, FromRow)]
+pub struct UserSession {
+    pub id: Uuid,
+    pub user_id: Uuid,
+    pub bot_id: Uuid,
+    pub title: String,
+    pub context_data: serde_json::Value,
+    pub created_at: DateTime<Utc>,
+    pub updated_at: DateTime<Utc>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct EmbeddingRequest {
+    pub text: String,
+    pub model: Option<String>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct EmbeddingResponse {
+    pub embedding: Vec<f32>,
+    pub model: String,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SearchResult {
+    pub text: String,
+    pub similarity: f32,
+    pub metadata: serde_json::Value,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct UserMessage {
+    pub bot_id: String,
+    pub user_id: String,
+    pub session_id: String,
+    pub channel: String,
+    pub content: String,
+    pub message_type: String,
+    pub media_url: Option<String>,
+    pub timestamp: DateTime<Utc>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BotResponse {
+    pub bot_id: String,
+    pub user_id: String,
+    pub session_id: String,
+    pub channel: String,
+    pub content: String,
+    pub message_type: String,
+    pub stream_token: Option<String>,
+    pub is_complete: bool,
+}

src/services/shared/state.rs

@@ -11,6 +11,11 @@ pub struct AppState {
     pub db: Option<sqlx::PgPool>,
     pub db_custom: Option<sqlx::PgPool>,
     pub browser_pool: Arc<BrowserPool>,
+    pub orchestrator: Arc<BotOrchestrator>,
+    pub web_adapter: Arc<WebChannelAdapter>,
+    pub voice_adapter: Arc<VoiceAdapter>,
+    pub whatsapp_adapter: Arc<WhatsAppAdapter>,
+    tool_api: Arc<ToolApi>, // Add this
 }
 pub struct _BotState {
     pub language: String,

src/services/tools/mod.rs

@@ -0,0 +1,536 @@
+// services/tools/mod.rs
+use async_trait::async_trait;
+use redis::AsyncCommands;
+use rhai::Engine;
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+use std::sync::Arc;
+use tokio::sync::Mutex;
+use uuid::Uuid;
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolResult {
+    pub success: bool,
+    pub output: String,
+    pub requires_input: bool,
+    pub session_id: String,
+}
+
+#[derive(Clone)]
+pub struct Tool {
+    pub name: String,
+    pub description: String,
+    pub parameters: HashMap<String, String>,
+    pub script: String,
+}
+
+#[async_trait]
+pub trait ToolExecutor: Send + Sync {
+    async fn execute(
+        &self,
+        tool_name: &str,
+        session_id: &str,
+        user_id: &str,
+    ) -> Result<ToolResult, Box<dyn std::error::Error>>;
+    async fn provide_input(
+        &self,
+        session_id: &str,
+        input: &str,
+    ) -> Result<(), Box<dyn std::error::Error>>;
+    async fn get_output(&self, session_id: &str)
+        -> Result<Vec<String>, Box<dyn std::error::Error>>;
+    async fn is_waiting_for_input(
+        &self,
+        session_id: &str,
+    ) -> Result<bool, Box<dyn std::error::Error>>;
+}
+
+pub struct RedisToolExecutor {
+    redis_client: redis::Client,
+    web_adapter: Arc<dyn ChannelAdapter>,
+    voice_adapter: Arc<dyn ChannelAdapter>,
+    whatsapp_adapter: Arc<dyn ChannelAdapter>,
+}
+
+impl RedisToolExecutor {
+    pub fn new(
+        redis_url: &str,
+        web_adapter: Arc<dyn ChannelAdapter>,
+        voice_adapter: Arc<dyn ChannelAdapter>,
+        whatsapp_adapter: Arc<dyn ChannelAdapter>,
+    ) -> Result<Self, Box<dyn std::error::Error>> {
+        let client = redis::Client::open(redis_url)?;
+        Ok(Self {
+            redis_client: client,
+            web_adapter,
+            voice_adapter,
+            whatsapp_adapter,
+        })
+    }
+
+    async fn send_tool_message(
+        &self,
+        session_id: &str,
+        user_id: &str,
+        channel: &str,
+        message: &str,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        let response = BotResponse {
+            bot_id: "tool_bot".to_string(),
+            user_id: user_id.to_string(),
+            session_id: session_id.to_string(),
+            channel: channel.to_string(),
+            content: message.to_string(),
+            message_type: "tool".to_string(),
+            stream_token: None,
+            is_complete: true,
+        };
+
+        match channel {
+            "web" => self.web_adapter.send_message(response).await,
+            "voice" => self.voice_adapter.send_message(response).await,
+            "whatsapp" => self.whatsapp_adapter.send_message(response).await,
+            _ => Ok(()),
+        }
+    }
+
+    fn create_rhai_engine(&self, session_id: String, user_id: String, channel: String) -> Engine {
+        let mut engine = Engine::new();
+
+        // Clone for TALK function
+        let tool_executor = Arc::new((
+            self.redis_client.clone(),
+            self.web_adapter.clone(),
+            self.voice_adapter.clone(),
+            self.whatsapp_adapter.clone(),
+        ));
+
+        let session_id_clone = session_id.clone();
+        let user_id_clone = user_id.clone();
+        let channel_clone = channel.clone();
+
+        engine.register_fn("talk", move |message: String| {
+            let tool_executor = Arc::clone(&tool_executor);
+            let session_id = session_id_clone.clone();
+            let user_id = user_id_clone.clone();
+            let channel = channel_clone.clone();
+
+            tokio::spawn(async move {
+                let (redis_client, web_adapter, voice_adapter, whatsapp_adapter) = &*tool_executor;
+
+                // Send message through appropriate channel
+                let response = BotResponse {
+                    bot_id: "tool_bot".to_string(),
+                    user_id: user_id.clone(),
+                    session_id: session_id.clone(),
+                    channel: channel.clone(),
+                    content: message.clone(),
+                    message_type: "tool".to_string(),
+                    stream_token: None,
+                    is_complete: true,
+                };
+
+                let result = match channel.as_str() {
+                    "web" => web_adapter.send_message(response).await,
+                    "voice" => voice_adapter.send_message(response).await,
+                    "whatsapp" => whatsapp_adapter.send_message(response).await,
+                    _ => Ok(()),
+                };
+
+                if let Err(e) = result {
+                    log::error!("Failed to send tool message: {}", e);
+                }
+
+                // Also store in Redis for persistence
+                if let Ok(mut conn) = redis_client.get_async_connection().await {
+                    let output_key = format!("tool:{}:output", session_id);
+                    let _ = conn.lpush(&output_key, &message).await;
+                }
+            });
+        });
+
+        // Clone for HEAR function
+        let hear_executor = self.redis_client.clone();
+        let session_id_clone = session_id.clone();
+
+        engine.register_fn("hear", move || -> String {
+            let hear_executor = hear_executor.clone();
+            let session_id = session_id_clone.clone();
+
+            let rt = tokio::runtime::Runtime::new().unwrap();
+            rt.block_on(async move {
+                match hear_executor.get_async_connection().await {
+                    Ok(mut conn) => {
+                        let input_key = format!("tool:{}:input", session_id);
+                        let waiting_key = format!("tool:{}:waiting", session_id);
+
+                        // Set waiting flag
+                        let _ = conn.set_ex(&waiting_key, "true", 300).await;
+
+                        // Wait for input
+                        let result: Option<(String, String)> =
+                            conn.brpop(&input_key, 30).await.ok().flatten();
+
+                        // Clear waiting flag
+                        let _ = conn.del(&waiting_key).await;
+
+                        result
+                            .map(|(_, input)| input)
+                            .unwrap_or_else(|| "timeout".to_string())
+                    }
+                    Err(e) => {
+                        log::error!("HEAR Redis error: {}", e);
+                        "error".to_string()
+                    }
+                }
+            })
+        });
+
+        engine
+    }
+
+    async fn cleanup_session(&self, session_id: &str) -> Result<(), Box<dyn std::error::Error>> {
+        let mut conn = self.redis_client.get_async_connection().await?;
+
+        let keys = vec![
+            format!("tool:{}:output", session_id),
+            format!("tool:{}:input", session_id),
+            format!("tool:{}:waiting", session_id),
+            format!("tool:{}:active", session_id),
+        ];
+
+        for key in keys {
+            let _: () = conn.del(&key).await?;
+        }
+
+        Ok(())
+    }
+}
+
+#[async_trait]
+impl ToolExecutor for RedisToolExecutor {
+    async fn execute(
+        &self,
+        tool_name: &str,
+        session_id: &str,
+        user_id: &str,
+    ) -> Result<ToolResult, Box<dyn std::error::Error>> {
+        let tool = get_tool(tool_name).ok_or_else(|| format!("Tool not found: {}", tool_name))?;
+
+        // Store session info in Redis
+        let mut conn = self.redis_client.get_async_connection().await?;
+        let session_key = format!("tool:{}:session", session_id);
+        let session_data = serde_json::json!({
+            "user_id": user_id,
+            "tool_name": tool_name,
+            "started_at": chrono::Utc::now().to_rfc3339(),
+        });
+        conn.set_ex(&session_key, session_data.to_string(), 3600)
+            .await?;
+
+        // Mark tool as active
+        let active_key = format!("tool:{}:active", session_id);
+        conn.set_ex(&active_key, "true", 3600).await?;
+
+        // Get channel from session (you might want to store this differently)
+        let channel = "web"; // Default channel, you might want to track this per session
+
+        let engine = self.create_rhai_engine(
+            session_id.to_string(),
+            user_id.to_string(),
+            channel.to_string(),
+        );
+
+        // Execute tool in background
+        let redis_clone = self.redis_client.clone();
+        let web_adapter_clone = self.web_adapter.clone();
+        let voice_adapter_clone = self.voice_adapter.clone();
+        let whatsapp_adapter_clone = self.whatsapp_adapter.clone();
+        let session_id_clone = session_id.to_string();
+        let user_id_clone = user_id.to_string();
+        let tool_script = tool.script.clone();
+
+        tokio::spawn(async move {
+            let mut engine = Engine::new();
+            let mut scope = Scope::new();
+
+            // Register TALK function for background execution
+            let redis_client = redis_clone.clone();
+            let web_adapter = web_adapter_clone.clone();
+            let voice_adapter = voice_adapter_clone.clone();
+            let whatsapp_adapter = whatsapp_adapter_clone.clone();
+            let session_id = session_id_clone.clone();
+            let user_id = user_id_clone.clone();
+
+            engine.register_fn("talk", move |message: String| {
+                let redis_client = redis_client.clone();
+                let web_adapter = web_adapter.clone();
+                let voice_adapter = voice_adapter.clone();
+                let whatsapp_adapter = whatsapp_adapter.clone();
+                let session_id = session_id.clone();
+                let user_id = user_id.clone();
+
+                tokio::spawn(async move {
+                    // Determine channel from session data
+                    let channel = "web"; // In real implementation, get from session storage
+
+                    let response = BotResponse {
+                        bot_id: "tool_bot".to_string(),
+                        user_id: user_id.clone(),
+                        session_id: session_id.clone(),
+                        channel: channel.to_string(),
+                        content: message.clone(),
+                        message_type: "tool".to_string(),
+                        stream_token: None,
+                        is_complete: true,
+                    };
+
+                    // Send through appropriate channel
+                    let send_result = match channel {
+                        "web" => web_adapter.send_message(response).await,
+                        "voice" => voice_adapter.send_message(response).await,
+                        "whatsapp" => whatsapp_adapter.send_message(response).await,
+                        _ => Ok(()),
+                    };
+
+                    if let Err(e) = send_result {
+                        log::error!("Failed to send tool message: {}", e);
+                    }
+
+                    // Store in Redis for backup
+                    if let Ok(mut conn) = redis_client.get_async_connection().await {
+                        let output_key = format!("tool:{}:output", session_id);
+                        let _ = conn.lpush(&output_key, &message).await;
+                    }
+                });
+            });
+
+            // Register HEAR function
+            let hear_redis = redis_clone.clone();
+            let session_id_hear = session_id.clone();
+            engine.register_fn("hear", move || -> String {
+                let hear_redis = hear_redis.clone();
+                let session_id = session_id_hear.clone();
+
+                let rt = tokio::runtime::Runtime::new().unwrap();
+                rt.block_on(async move {
+                    match hear_redis.get_async_connection().await {
+                        Ok(mut conn) => {
+                            let input_key = format!("tool:{}:input", session_id);
+                            let waiting_key = format!("tool:{}:waiting", session_id);
+
+                            let _ = conn.set_ex(&waiting_key, "true", 300).await;
+                            let result: Option<(String, String)> =
+                                conn.brpop(&input_key, 30).await.ok().flatten();
+                            let _ = conn.del(&waiting_key).await;
+
+                            result
+                                .map(|(_, input)| input)
+                                .unwrap_or_else(|| "timeout".to_string())
+                        }
+                        Err(_) => "error".to_string(),
+                    }
+                })
+            });
+
+            // Execute the tool
+            match engine.eval_with_scope::<()>(&mut scope, &tool_script) {
+                Ok(_) => {
+                    log::info!(
+                        "Tool {} completed successfully for session {}",
+                        tool_name,
+                        session_id
+                    );
+
+                    // Send completion message
+                    let completion_msg =
+                        "🛠️ Tool execution completed. How can I help you with anything else?";
+                    let response = BotResponse {
+                        bot_id: "tool_bot".to_string(),
+                        user_id: user_id_clone,
+                        session_id: session_id_clone.clone(),
+                        channel: "web".to_string(),
+                        content: completion_msg.to_string(),
+                        message_type: "tool_complete".to_string(),
+                        stream_token: None,
+                        is_complete: true,
+                    };
+
+                    let _ = web_adapter_clone.send_message(response).await;
+                }
+                Err(e) => {
+                    log::error!("Tool execution failed: {}", e);
+
+                    let error_msg = format!("❌ Tool error: {}", e);
+                    let response = BotResponse {
+                        bot_id: "tool_bot".to_string(),
+                        user_id: user_id_clone,
+                        session_id: session_id_clone.clone(),
+                        channel: "web".to_string(),
+                        content: error_msg,
+                        message_type: "tool_error".to_string(),
+                        stream_token: None,
+                        is_complete: true,
+                    };
+
+                    let _ = web_adapter_clone.send_message(response).await;
+                }
+            }
+
+            // Cleanup
+            if let Ok(mut conn) = redis_clone.get_async_connection().await {
+                let active_key = format!("tool:{}:active", session_id_clone);
+                let _ = conn.del(&active_key).await;
+            }
+        });
+
+        Ok(ToolResult {
+            success: true,
+            output: format!(
+                "🛠️ Starting {} tool. Please follow the tool's instructions.",
+                tool_name
+            ),
+            requires_input: true,
+            session_id: session_id.to_string(),
+        })
+    }
+
+    async fn provide_input(
+        &self,
+        session_id: &str,
+        input: &str,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        let mut conn = self.redis_client.get_async_connection().await?;
+        let input_key = format!("tool:{}:input", session_id);
+        conn.lpush(&input_key, input).await?;
+        Ok(())
+    }
+
+    async fn get_output(
+        &self,
+        session_id: &str,
+    ) -> Result<Vec<String>, Box<dyn std::error::Error>> {
+        let mut conn = self.redis_client.get_async_connection().await?;
+        let output_key = format!("tool:{}:output", session_id);
+        let messages: Vec<String> = conn.lrange(&output_key, 0, -1).await?;
+
+        // Clear after reading
+        let _: () = conn.del(&output_key).await?;
+
+        Ok(messages)
+    }
+
+    async fn is_waiting_for_input(
+        &self,
+        session_id: &str,
+    ) -> Result<bool, Box<dyn std::error::Error>> {
+        let mut conn = self.redis_client.get_async_connection().await?;
+        let waiting_key = format!("tool:{}:waiting", session_id);
+        let exists: bool = conn.exists(&waiting_key).await?;
+        Ok(exists)
+    }
+}
+
+// Tool definitions
+fn get_tool(name: &str) -> Option<Tool> {
+    match name {
+        "calculator" => Some(Tool {
+            name: "calculator".to_string(),
+            description: "Perform mathematical calculations".to_string(),
+            parameters: HashMap::from([
+                ("operation".to_string(), "add|subtract|multiply|divide".to_string()),
+                ("a".to_string(), "number".to_string()),
+                ("b".to_string(), "number".to_string()),
+            ]),
+            script: r#"
+                // Calculator tool using TALK/HEAR pattern
+                let TALK = |message| {
+                    talk(message);
+                };
+
+                let HEAR = || {
+                    hear()
+                };
+
+                TALK("🔢 Calculator started!");
+                TALK("Please enter the first number:");
+                let a = HEAR();
+                TALK("Please enter the second number:");
+                let b = HEAR();
+                TALK("Choose operation: add, subtract, multiply, or divide:");
+                let op = HEAR();
+
+                let num_a = a.to_float();
+                let num_b = b.to_float();
+
+                if op == "add" {
+                    let result = num_a + num_b;
+                    TALK("✅ Result: " + a + " + " + b + " = " + result);
+                } else if op == "subtract" {
+                    let result = num_a - num_b;
+                    TALK("✅ Result: " + a + " - " + b + " = " + result);
+                } else if op == "multiply" {
+                    let result = num_a * num_b;
+                    TALK("✅ Result: " + a + " × " + b + " = " + result);
+                } else if op == "divide" {
+                    if num_b != 0.0 {
+                        let result = num_a / num_b;
+                        TALK("✅ Result: " + a + " ÷ " + b + " = " + result);
+                    } else {
+                        TALK("❌ Error: Cannot divide by zero!");
+                    }
+                } else {
+                    TALK("❌ Error: Invalid operation. Please use: add, subtract, multiply, or divide");
+                }
+
+                TALK("Calculator session completed. Thank you!");
+            "#.to_string(),
+        }),
+        _ => None,
+    }
+}
+
+pub struct ToolManager {
+    executor: Arc<dyn ToolExecutor>,
+}
+
+impl ToolManager {
+    pub fn new(executor: Arc<dyn ToolExecutor>) -> Self {
+        Self { executor }
+    }
+
+    pub async fn execute_tool(
+        &self,
+        tool_name: &str,
+        session_id: &str,
+        user_id: &str,
+    ) -> Result<ToolResult, Box<dyn std::error::Error>> {
+        self.executor.execute(tool_name, session_id, user_id).await
+    }
+
+    pub async fn provide_input(
+        &self,
+        session_id: &str,
+        input: &str,
+    ) -> Result<(), Box<dyn std::error::Error>> {
+        self.executor.provide_input(session_id, input).await
+    }
+
+    pub async fn get_tool_output(
+        &self,
+        session_id: &str,
+    ) -> Result<Vec<String>, Box<dyn std::error::Error>> {
+        self.executor.get_output(session_id).await
+    }
+
+    pub async fn is_tool_waiting(
+        &self,
+        session_id: &str,
+    ) -> Result<bool, Box<dyn std::error::Error>> {
+        self.executor.is_waiting_for_input(session_id).await
+    }
+
+    pub fn list_tools(&self) -> Vec<String> {
+        vec!["calculator".to_string()]
+    }
+}

src/services/whatsapp/mod.rs

@@ -0,0 +1,176 @@
+use async_trait::async_trait;
+use reqwest::Client;
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+use std::sync::Arc;
+use tokio::sync::Mutex;
+use log::info;
+
+use crate::shared::BotResponse;
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppMessage {
+    pub entry: Vec<WhatsAppEntry>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppEntry {
+    pub changes: Vec<WhatsAppChange>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppChange {
+    pub value: WhatsAppValue,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppValue {
+    pub contacts: Option<Vec<WhatsAppContact>>,
+    pub messages: Option<Vec<WhatsAppMessageData>>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppContact {
+    pub profile: WhatsAppProfile,
+    pub wa_id: String,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppProfile {
+    pub name: String,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppMessageData {
+    pub from: String,
+    pub id: String,
+    pub timestamp: String,
+    pub text: Option<WhatsAppText>,
+    pub r#type: String,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct WhatsAppText {
+    pub body: String,
+}
+
+#[derive(Serialize)]
+pub struct WhatsAppResponse {
+    pub messaging_product: String,
+    pub to: String,
+    pub text: WhatsAppResponseText,
+}
+
+#[derive(Serialize)]
+pub struct WhatsAppResponseText {
+    pub body: String,
+}
+
+pub struct WhatsAppAdapter {
+    client: Client,
+    access_token: String,
+    phone_number_id: String,
+    webhook_verify_token: String,
+    sessions: Arc<Mutex<HashMap<String, String>>>, // phone -> session_id
+}
+
+impl WhatsAppAdapter {
+    pub fn new(access_token: String, phone_number_id: String, webhook_verify_token: String) -> Self {
+        Self {
+            client: Client::new(),
+            access_token,
+            phone_number_id,
+            webhook_verify_token,
+            sessions: Arc::new(Mutex::new(HashMap::new())),
+        }
+    }
+
+    pub async fn get_session_id(&self, phone: &str) -> String {
+        let sessions = self.sessions.lock().await;
+        sessions.get(phone).cloned().unwrap_or_else(|| {
+            drop(sessions);
+            let session_id = uuid::Uuid::new_v4().to_string();
+            let mut sessions = self.sessions.lock().await;
+            sessions.insert(phone.to_string(), session_id.clone());
+            session_id
+        })
+    }
+
+    pub async fn send_whatsapp_message(&self, to: &str, body: &str) -> Result<(), Box<dyn std::error::Error>> {
+        let url = format!(
+            "https://graph.facebook.com/v17.0/{}/messages",
+            self.phone_number_id
+        );
+
+        let response_data = WhatsAppResponse {
+            messaging_product: "whatsapp".to_string(),
+            to: to.to_string(),
+            text: WhatsAppResponseText {
+                body: body.to_string(),
+            },
+        };
+
+        let response = self.client
+            .post(&url)
+            .header("Authorization", format!("Bearer {}", self.access_token))
+            .json(&response_data)
+            .send()
+            .await?;
+
+        if response.status().is_success() {
+            info!("WhatsApp message sent to {}", to);
+        } else {
+            let error_text = response.text().await?;
+            log::error!("Failed to send WhatsApp message: {}", error_text);
+        }
+
+        Ok(())
+    }
+
+    pub async fn process_incoming_message(&self, message: WhatsAppMessage) -> Result<Vec<crate::shared::UserMessage>, Box<dyn std::error::Error>> {
+        let mut user_messages = Vec::new();
+
+        for entry in message.entry {
+            for change in entry.changes {
+                if let Some(messages) = change.value.messages {
+                    for msg in messages {
+                        if let Some(text) = msg.text {
+                            let session_id = self.get_session_id(&msg.from).await;
+
+                            let user_message = crate::shared::UserMessage {
+                                bot_id: "default_bot".to_string(),
+                                user_id: msg.from.clone(),
+                                session_id: session_id.clone(),
+                                channel: "whatsapp".to_string(),
+                                content: text.body,
+                                message_type: msg.r#type,
+                                media_url: None,
+                                timestamp: chrono::Utc::now(),
+                            };
+
+                            user_messages.push(user_message);
+                        }
+                    }
+                }
+            }
+        }
+
+        Ok(user_messages)
+    }
+
+    pub fn verify_webhook(&self, mode: &str, token: &str, challenge: &str) -> Result<String, Box<dyn std::error::Error>> {
+        if mode == "subscribe" && token == self.webhook_verify_token {
+            Ok(challenge.to_string())
+        } else {
+            Err("Invalid verification".into())
+        }
+    }
+}
+
+#[async_trait]
+impl super::channels::ChannelAdapter for WhatsAppAdapter {
+    async fn send_message(&self, response: BotResponse) -> Result<(), Box<dyn std::error::Error>> {
+        info!("Sending WhatsApp response to: {}", response.user_id);
+        self.send_whatsapp_message(&response.user_id, &response.content).await
+    }
+}

static/index.html

@@ -0,0 +1,484 @@
+<!doctype html>
+<html>
+    <head>
+        <title>General Bots - ChatGPT Clone</title>
+        <style>
+            * {
+                margin: 0;
+                padding: 0;
+                box-sizing: border-box;
+            }
+            body {
+                font-family:
+                    -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
+                    sans-serif;
+                background: #343541;
+                color: white;
+                height: 100vh;
+                display: flex;
+            }
+            .sidebar {
+                width: 260px;
+                background: #202123;
+                padding: 10px;
+                display: flex;
+                flex-direction: column;
+            }
+            .new-chat {
+                background: transparent;
+                border: 1px solid #4d4d4f;
+                color: white;
+                padding: 12px;
+                border-radius: 6px;
+                margin-bottom: 10px;
+                cursor: pointer;
+            }
+            .voice-toggle {
+                background: #19c37d;
+                border: 1px solid #19c37d;
+                color: white;
+                padding: 12px;
+                border-radius: 6px;
+                margin-bottom: 10px;
+                cursor: pointer;
+            }
+            .voice-toggle.recording {
+                background: #ef4444;
+                border: 1px solid #ef4444;
+            }
+            .history {
+                flex: 1;
+                overflow-y: auto;
+            }
+            .history-item {
+                padding: 12px;
+                border-radius: 6px;
+                margin-bottom: 5px;
+                cursor: pointer;
+            }
+            .history-item:hover {
+                background: #2a2b32;
+            }
+            .main {
+                flex: 1;
+                display: flex;
+                flex-direction: column;
+            }
+            .messages {
+                flex: 1;
+                overflow-y: auto;
+                padding: 20px;
+            }
+            .message {
+                max-width: 800px;
+                margin: 0 auto 20px;
+                line-height: 1.5;
+            }
+            .user-message {
+                color: #d1d5db;
+            }
+            .assistant-message {
+                color: #ececf1;
+            }
+            .voice-message {
+                color: #19c37d;
+                font-style: italic;
+            }
+            .input-area {
+                max-width: 800px;
+                margin: 0 auto 20px;
+                position: relative;
+            }
+            .input-area input {
+                width: 100%;
+                background: #40414f;
+                border: none;
+                padding: 12px 45px 12px 15px;
+                border-radius: 12px;
+                color: white;
+                font-size: 16px;
+            }
+            .input-area button {
+                position: absolute;
+                right: 5px;
+                top: 5px;
+                background: #19c37d;
+                border: none;
+                padding: 8px 12px;
+                border-radius: 6px;
+                color: white;
+                cursor: pointer;
+            }
+            .voice-status {
+                text-align: center;
+                margin: 10px 0;
+                color: #19c37d;
+            }
+            .pulse {
+                animation: pulse 2s infinite;
+            }
+            @keyframes pulse {
+                0% {
+                    opacity: 1;
+                }
+                50% {
+                    opacity: 0.5;
+                }
+                100% {
+                    opacity: 1;
+                }
+            }
+        </style>
+    </head>
+    <body>
+        <div class="sidebar">
+            <button class="new-chat" onclick="createNewSession()">
+                + New chat
+            </button>
+            <button
+                class="voice-toggle"
+                id="voiceToggle"
+                onclick="toggleVoiceMode()"
+            >
+                🎤 Voice Mode
+            </button>
+            <div class="history" id="history"></div>
+        </div>
+
+        <div class="main">
+            <div class="voice-status" id="voiceStatus" style="display: none">
+                <div class="pulse">🎤 Listening... Speak now</div>
+            </div>
+            <div class="messages" id="messages"></div>
+            <div class="input-area">
+                <input
+                    type="text"
+                    id="messageInput"
+                    placeholder="Type your message or use voice..."
+                    onkeypress="handleKeyPress(event)"
+                />
+                <button onclick="sendMessage()">Send</button>
+            </div>
+        </div>
+
+        <script src="https://unpkg.com/livekit-client@latest/dist/livekit-client.js"></script>
+        <script>
+            let ws = null;
+            let currentSessionId = null;
+            let isStreaming = false;
+            let voiceRoom = null;
+            let isVoiceMode = false;
+            let mediaRecorder = null;
+            let audioChunks = [];
+
+            async function loadSessions() {
+                const response = await fetch("/api/sessions");
+                const sessions = await response.json();
+                const history = document.getElementById("history");
+                history.innerHTML = "";
+
+                sessions.forEach((session) => {
+                    const div = document.createElement("div");
+                    div.className = "history-item";
+                    div.textContent = session.title;
+                    div.onclick = () => switchSession(session.id);
+                    history.appendChild(div);
+                });
+            }
+
+            async function createNewSession() {
+                const response = await fetch("/api/sessions", {
+                    method: "POST",
+                });
+                const session = await response.json();
+                currentSessionId = session.session_id;
+                connectWebSocket();
+                loadSessions();
+                document.getElementById("messages").innerHTML = "";
+                if (isVoiceMode) {
+                    await startVoiceSession();
+                }
+            }
+
+            function switchSession(sessionId) {
+                currentSessionId = sessionId;
+                loadSessionHistory(sessionId);
+                connectWebSocket();
+                if (isVoiceMode) {
+                    startVoiceSession();
+                }
+            }
+
+            async function loadSessionHistory(sessionId) {
+                const response = await fetch("/api/sessions/" + sessionId);
+                const history = await response.json();
+                const messages = document.getElementById("messages");
+                messages.innerHTML = "";
+
+                history.forEach(([role, content]) => {
+                    const className =
+                        role === "user"
+                            ? "user-message"
+                            : role === "assistant"
+                              ? "assistant-message"
+                              : "voice-message";
+                    addMessage(
+                        role === "user" ? "You" : "Assistant",
+                        content,
+                        className,
+                    );
+                });
+            }
+
+            function connectWebSocket() {
+                if (ws) ws.close();
+                ws = new WebSocket("ws://" + window.location.host + "/ws");
+
+                ws.onmessage = function (event) {
+                    const response = JSON.parse(event.data);
+
+                    if (!response.is_complete) {
+                        if (!isStreaming) {
+                            isStreaming = true;
+                            addMessage(
+                                "Assistant",
+                                response.content,
+                                "assistant-message",
+                                true,
+                            );
+                        } else {
+                            updateLastMessage(response.content);
+                        }
+                    } else {
+                        isStreaming = false;
+                    }
+                };
+
+                ws.onopen = function () {
+                    console.log("Connected to WebSocket");
+                };
+            }
+
+            function addMessage(
+                sender,
+                content,
+                className,
+                isStreaming = false,
+            ) {
+                const messages = document.getElementById("messages");
+                const messageDiv = document.createElement("div");
+                messageDiv.className = `message ${className}`;
+                messageDiv.id = isStreaming ? "streaming-message" : null;
+                messageDiv.innerHTML = `<strong>${sender}:</strong> ${content}`;
+                messages.appendChild(messageDiv);
+                messages.scrollTop = messages.scrollHeight;
+            }
+
+            function updateLastMessage(content) {
+                const lastMessage =
+                    document.getElementById("streaming-message");
+                if (lastMessage) {
+                    lastMessage.innerHTML = `<strong>Assistant:</strong> ${lastMessage.textContent.replace("Assistant:", "").trim() + content}`;
+                    document.getElementById("messages").scrollTop =
+                        document.getElementById("messages").scrollHeight;
+                }
+            }
+
+            function sendMessage() {
+                const input = document.getElementById("messageInput");
+                const message = input.value.trim();
+
+                if (message && ws && ws.readyState === WebSocket.OPEN) {
+                    addMessage("You", message, "user-message");
+                    ws.send(message);
+                    input.value = "";
+                }
+            }
+
+            function handleKeyPress(event) {
+                if (event.key === "Enter") {
+                    sendMessage();
+                }
+            }
+
+            async function toggleVoiceMode() {
+                isVoiceMode = !isVoiceMode;
+                const voiceToggle = document.getElementById("voiceToggle");
+                const voiceStatus = document.getElementById("voiceStatus");
+
+                if (isVoiceMode) {
+                    voiceToggle.textContent = "🔴 Stop Voice";
+                    voiceToggle.classList.add("recording");
+                    voiceStatus.style.display = "block";
+                    await startVoiceSession();
+                } else {
+                    voiceToggle.textContent = "🎤 Voice Mode";
+                    voiceToggle.classList.remove("recording");
+                    voiceStatus.style.display = "none";
+                    await stopVoiceSession();
+                }
+            }
+
+            async function startVoiceSession() {
+                if (!currentSessionId) return;
+
+                try {
+                    const response = await fetch("/api/voice/start", {
+                        method: "POST",
+                        headers: { "Content-Type": "application/json" },
+                        body: JSON.stringify({
+                            session_id: currentSessionId,
+                            user_id: "user_" + currentSessionId,
+                        }),
+                    });
+
+                    const data = await response.json();
+                    if (data.token) {
+                        await connectToVoiceRoom(data.token);
+                        startVoiceRecording();
+                    }
+                } catch (error) {
+                    console.error("Failed to start voice session:", error);
+                }
+            }
+
+            async function stopVoiceSession() {
+                if (!currentSessionId) return;
+
+                try {
+                    await fetch("/api/voice/stop", {
+                        method: "POST",
+                        headers: { "Content-Type": "application/json" },
+                        body: JSON.stringify({
+                            session_id: currentSessionId,
+                        }),
+                    });
+
+                    if (voiceRoom) {
+                        voiceRoom.disconnect();
+                        voiceRoom = null;
+                    }
+
+                    if (mediaRecorder && mediaRecorder.state === "recording") {
+                        mediaRecorder.stop();
+                    }
+                } catch (error) {
+                    console.error("Failed to stop voice session:", error);
+                }
+            }
+
+            async function connectToVoiceRoom(token) {
+                try {
+                    const room = new LiveKitClient.Room();
+                    await room.connect("ws://localhost:7880", token);
+                    voiceRoom = room;
+
+                    room.on("dataReceived", (data) => {
+                        const decoder = new TextDecoder();
+                        const message = decoder.decode(data);
+                        try {
+                            const parsed = JSON.parse(message);
+                            if (parsed.type === "voice_response") {
+                                addMessage(
+                                    "Assistant",
+                                    parsed.text,
+                                    "assistant-message",
+                                );
+                            }
+                        } catch (e) {
+                            console.log("Voice data:", message);
+                        }
+                    });
+
+                    const localTracks = await LiveKitClient.createLocalTracks({
+                        audio: true,
+                        video: false,
+                    });
+
+                    for (const track of localTracks) {
+                        await room.localParticipant.publishTrack(track);
+                    }
+                } catch (error) {
+                    console.error("Failed to connect to voice room:", error);
+                }
+            }
+
+            function startVoiceRecording() {
+                if (!navigator.mediaDevices) {
+                    console.log("Media devices not supported");
+                    return;
+                }
+
+                navigator.mediaDevices
+                    .getUserMedia({ audio: true })
+                    .then((stream) => {
+                        mediaRecorder = new MediaRecorder(stream);
+                        audioChunks = [];
+
+                        mediaRecorder.ondataavailable = (event) => {
+                            audioChunks.push(event.data);
+                        };
+
+                        mediaRecorder.onstop = () => {
+                            const audioBlob = new Blob(audioChunks, {
+                                type: "audio/wav",
+                            });
+                            simulateVoiceTranscription();
+                        };
+
+                        mediaRecorder.start();
+
+                        setTimeout(() => {
+                            if (
+                                mediaRecorder &&
+                                mediaRecorder.state === "recording"
+                            ) {
+                                mediaRecorder.stop();
+                                setTimeout(() => {
+                                    if (isVoiceMode) {
+                                        startVoiceRecording();
+                                    }
+                                }, 1000);
+                            }
+                        }, 5000);
+                    })
+                    .catch((error) => {
+                        console.error("Error accessing microphone:", error);
+                    });
+            }
+
+            function simulateVoiceTranscription() {
+                const phrases = [
+                    "Hello, how can I help you today?",
+                    "I understand what you're saying",
+                    "That's an interesting point",
+                    "Let me think about that",
+                    "I can assist you with that",
+                    "What would you like to know?",
+                    "That sounds great",
+                    "I'm listening to your voice",
+                ];
+
+                const randomPhrase =
+                    phrases[Math.floor(Math.random() * phrases.length)];
+
+                if (voiceRoom) {
+                    const message = {
+                        type: "voice_input",
+                        content: randomPhrase,
+                        timestamp: new Date().toISOString(),
+                    };
+
+                    voiceRoom.localParticipant.publishData(
+                        new TextEncoder().encode(JSON.stringify(message)),
+                        LiveKitClient.DataPacketKind.RELIABLE,
+                    );
+                }
+
+                addMessage("You", `🎤 ${randomPhrase}`, "voice-message");
+            }
+
+            createNewSession();
+        </script>
+    </body>
+</html>