Merge pull request #10 from blackboxprogramming/copilot/redirect-requests-to-ollama

Route all AI chat to local Ollama; add @copilot/@lucidia/@blackboxprogramming/@ollama mention routing

backend/main.py

@@ -14,6 +14,7 @@ import time
 from datetime import datetime, timedelta
 import os
 import asyncio
+import httpx
 
 # Configuration
 SECRET_KEY = os.getenv("SECRET_KEY", "blackroad-secret-key-change-in-production")
@@ -21,6 +22,10 @@ STRIPE_SECRET_KEY = os.getenv("STRIPE_SECRET_KEY", "sk_test_...")
 JWT_ALGORITHM = "HS256"
 JWT_EXPIRATION_HOURS = 24
 
+# Ollama configuration – all AI requests go to local Ollama instance
+OLLAMA_BASE_URL = os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")
+OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "llama3")
+
 # Initialize FastAPI
 app = FastAPI(
     title="BlackRoad OS API",
@@ -165,6 +170,28 @@ async def get_current_user_info(user_id: Optional[str] = Depends(get_current_use
 
     raise HTTPException(status_code=404, detail="User not found")
 
+# Ollama helper – sends chat history to local Ollama and returns the reply
+async def _ollama_chat(messages: list) -> str:
+    """Call local Ollama instance. Returns the assistant reply text."""
+    try:
+        async with httpx.AsyncClient(timeout=120.0) as client:
+            resp = await client.post(
+                f"{OLLAMA_BASE_URL}/api/chat",
+                json={"model": OLLAMA_MODEL, "messages": messages, "stream": False},
+            )
+            resp.raise_for_status()
+            data = resp.json()
+            return data.get("message", {}).get("content", "").strip()
+    except httpx.ConnectError:
+        return (
+            "⚠️ Ollama is not reachable at "
+            f"{OLLAMA_BASE_URL}. "
+            "Please make sure Ollama is running on your local machine."
+        )
+    except Exception as exc:  # noqa: BLE001
+        return f"⚠️ Ollama error: {exc}"
+
+
 # AI Chat endpoints
 @app.post("/api/ai-chat/chat")
 async def chat(message: ChatMessage, user_id: Optional[str] = Depends(get_current_user)):
@@ -186,8 +213,14 @@ async def chat(message: ChatMessage, user_id: Optional[str] = Depends(get_curren
     }
     conversations_db[conversation_id]["messages"].append(user_msg)
 
-    # Generate AI response (mock - replace with real LLM)
+    # Build conversation history for Ollama (exclude timestamp field)
-    ai_response = f"I'm BlackRoad OS. You said: '{message.message}'. I have 30,000 agents ready to help!"
+    history = [
+        {"role": m["role"], "content": m["content"]}
+        for m in conversations_db[conversation_id]["messages"]
+    ]
+
+    # Route to Ollama – local hardware, no external providers
+    ai_response = await _ollama_chat(history)
 
     ai_msg = {
         "role": "assistant",
@@ -199,7 +232,8 @@ async def chat(message: ChatMessage, user_id: Optional[str] = Depends(get_curren
     return {
         "conversation_id": conversation_id,
         "message": ai_response,
-        "messages": conversations_db[conversation_id]["messages"]
+        "messages": conversations_db[conversation_id]["messages"],
+        "provider": "ollama",
     }
 
 @app.get("/api/ai-chat/conversations")

blackroad-api.js

@@ -97,6 +97,8 @@ class BlackRoadAPI {
   }
 
   // AI Chat: Send message
+  // Messages containing @copilot, @lucidia, @blackboxprogramming, or @ollama
+  // are routed directly to the local Ollama instance, bypassing external providers.
   async chat(message, conversationId = null) {
     return this.request('/api/ai-chat/chat', {
       method: 'POST',
@@ -104,6 +106,22 @@ class BlackRoadAPI {
     });
   }
 
+  // Direct Ollama chat (bypasses the backend entirely, calls Ollama from the browser)
+  async ollamaChat(message, model = 'llama3', history = []) {
+    const ollamaBase = 'http://localhost:11434';
+    const messages = [...history, { role: 'user', content: message }];
+    const response = await fetch(`${ollamaBase}/api/chat`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ model, messages, stream: false })
+    });
+    if (!response.ok) {
+      throw new Error(`Ollama responded with ${response.status}`);
+    }
+    const data = await response.json();
+    return data.message?.content || '';
+  }
+
   // AI Chat: List conversations
   async listConversations() {
     return this.request('/api/ai-chat/conversations');

chat.html

@@ -115,12 +115,12 @@
   <div class="container">
     <div class="chat-messages" id="chatMessages">
       <div class="message assistant">
-        <strong>BlackRoad AI</strong>
+        <strong>BlackRoad AI (powered by Ollama)</strong>
-        <p>Hello! I'm powered by 30,000 AI agents. Ask me anything!</p>
+        <p>Hello! I'm running on your local Ollama instance. Use <strong>@ollama</strong>, <strong>@copilot</strong>, <strong>@lucidia</strong>, or <strong>@blackboxprogramming</strong> to talk directly to your local hardware — no external providers.</p>
       </div>
     </div>
     <div class="input-area">
-      <input type="text" id="messageInput" placeholder="Type your message..." />
+      <input type="text" id="messageInput" placeholder="Type your message… use @ollama, @copilot, @lucidia, or @blackboxprogramming to talk to your local Ollama" />
       <button onclick="sendMessage()" id="sendBtn">Send</button>
     </div>
   </div>
@@ -132,6 +132,10 @@
     const messageInput = document.getElementById('messageInput');
     const sendBtn = document.getElementById('sendBtn');
     let conversationId = null;
+    let ollamaHistory = [];
+
+    // @ mentions that route to local Ollama
+    const OLLAMA_MENTION = /@(copilot|lucidia|blackboxprogramming|ollama)\b/i;
 
     // Check auth status
     async function checkAuth() {
@@ -157,17 +161,27 @@
       sendBtn.disabled = true;
 
       // Show loading
-      const loadingId = addMessage('assistant', 'BlackRoad AI', '<div class="loading">Thinking...</div>');
+      const loadingId = addMessage('assistant', 'BlackRoad AI', '<div class="loading">Thinking…</div>');
+
+      const usesOllama = OLLAMA_MENTION.test(message);
 
       try {
-        const data = await window.blackroad.chat(message, conversationId);
+        let responseText;
-        conversationId = data.conversation_id;
+        if (usesOllama) {
-
+          // Route directly to local Ollama – no external provider
-        // Remove loading message
+          responseText = await window.blackroad.ollamaChat(message, 'llama3', ollamaHistory);
-        document.getElementById(loadingId).remove();
+          ollamaHistory.push({ role: 'user', content: message });
-
+          ollamaHistory.push({ role: 'assistant', content: responseText });
-        // Add AI response
+          document.getElementById(loadingId).remove();
-        addMessage('assistant', 'BlackRoad AI', data.message || 'I received your message!');
+          addMessage('assistant', '🦙 Ollama (local)', responseText);
+        } else {
+          // Route through backend (which also calls Ollama)
+          const data = await window.blackroad.chat(message, conversationId);
+          conversationId = data.conversation_id;
+          document.getElementById(loadingId).remove();
+          const label = data.provider === 'ollama' ? '🦙 Ollama (local)' : 'BlackRoad AI';
+          addMessage('assistant', label, data.message || 'I received your message!');
+        }
       } catch (error) {
         document.getElementById(loadingId).remove();
         addMessage('assistant', 'BlackRoad AI', 'Sorry, I encountered an error. Please try again.');

docker-compose.yml

@@ -3,6 +3,15 @@
 version: "3.9"
 
 services:
+  ollama:
+    image: ollama/ollama:latest
+    container_name: blackroad-ollama
+    ports:
+      - "11434:11434"
+    volumes:
+      - ollama_data:/root/.ollama
+    restart: unless-stopped
+
   lucidia-api:
     build: .
     container_name: lucidia-api
@@ -11,8 +20,11 @@ services:
       - .:/app
     ports:
       - "8000:8000"
+    environment:
+      - OLLAMA_BASE_URL=http://ollama:11434
     depends_on:
       - nginx
+      - ollama
 
   nginx:
     image: nginx:latest
@@ -22,3 +34,6 @@ services:
     ports:
       - "80:80"
 
+volumes:
+  ollama_data:
+