feat: remove tools/agent feature

INSTALL.md

@@ -176,30 +176,6 @@ CREATE TABLE users (
   CONSTRAINT users_id_fkey FOREIGN KEY (id) REFERENCES auth.users(id) ON DELETE CASCADE -- Explicit FK definition
 );
 
--- Agents table
-CREATE TABLE agents (
-  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
-  name TEXT NOT NULL,
-  slug TEXT NOT NULL,
-  description TEXT NOT NULL,
-  avatar_url TEXT,
-  system_prompt TEXT NOT NULL,
-  model_preference TEXT,
-  is_public BOOLEAN DEFAULT false NOT NULL,
-  remixable BOOLEAN DEFAULT false NOT NULL,
-  tools_enabled BOOLEAN DEFAULT false NOT NULL,
-  example_inputs TEXT[],
-  tags TEXT[],
-  category TEXT,
-  creator_id UUID,
-  created_at TIMESTAMPTZ DEFAULT NOW(),
-  updated_at TIMESTAMPTZ,
-  tools TEXT[],
-  max_steps INTEGER,
-  mcp_config JSONB, -- Representing the object structure as JSONB
-  CONSTRAINT agents_creator_id_fkey FOREIGN KEY (creator_id) REFERENCES users(id) ON DELETE SET NULL -- Changed to SET NULL based on schema, could also be CASCADE
-);
-
 -- Projects table
 CREATE TABLE projects (
   id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
@@ -217,12 +193,10 @@ CREATE TABLE chats (
   title TEXT,
   model TEXT,
   system_prompt TEXT,
-  agent_id UUID,
   created_at TIMESTAMPTZ DEFAULT NOW(),
   updated_at TIMESTAMPTZ DEFAULT NOW(),
   public BOOLEAN DEFAULT FALSE NOT NULL,
   CONSTRAINT chats_user_id_fkey FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
-  CONSTRAINT chats_agent_id_fkey FOREIGN KEY (agent_id) REFERENCES agents(id) ON DELETE SET NULL,
   CONSTRAINT chats_project_id_fkey FOREIGN KEY (project_id) REFERENCES projects(id) ON DELETE CASCADE
 );
 
@@ -281,7 +255,7 @@ CREATE TABLE user_keys (
 -- ALTER TABLE users ENABLE ROW LEVEL SECURITY;
 -- CREATE POLICY "Users can view their own data." ON users FOR SELECT USING (auth.uid() = id);
 -- CREATE POLICY "Users can update their own data." ON users FOR UPDATE USING (auth.uid() = id);
--- ... add policies for other tables (agents, chats, messages, etc.) ...
+-- ... add policies for other tables (chats, messages, etc.) ...
 ```
 
 ### Storage Setup
@@ -292,25 +266,6 @@ Create the buckets `chat-attachments` and `avatars` in your Supabase dashboard:
 2. Click "New bucket" and create two buckets: `chat-attachments` and `avatars`
 3. Configure public access permissions for both buckets
 
-#### Agent Avatar Configuration
-
-For agent profile pictures to work properly:
-
-1. Create an `agents` folder inside your `avatars` bucket:
-
-   - Navigate to the `avatars` bucket
-   - Click "Create folder" and name it `agents`
-
-2. Upload agent avatar images
-
-3. Set up public access for the avatars bucket:
-   - Go to "Configuration" tab for the `avatars` bucket
-   - Under "Row Level Security (RLS)" ensure it's disabled or create a policy:
-   ```sql
-   CREATE POLICY "Public Read Access" ON storage.objects
-   FOR SELECT USING (bucket_id = 'avatars');
-   ```
-
 ## Ollama Setup (Local AI Models)
 
 Ollama allows you to run AI models locally on your machine. Zola has built-in support for Ollama with automatic model detection.

README.md

@@ -16,7 +16,6 @@
 - Open-source and self-hostable
 - Customizable: user system prompt, multiple layout options
 - Local AI with Ollama: Run models locally with automatic model detection
-- Basic agent (wip)
 - Full MCP support (wip)
 
 ## Quick Start
@@ -57,7 +56,7 @@ docker-compose -f docker-compose.ollama.yml up
 
 [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https://github.com/ibelick/zola)
 
-To unlock features like auth, file uploads, and agents, see [INSTALL.md](./INSTALL.md).
+To unlock features like auth, file uploads, see [INSTALL.md](./INSTALL.md).
 
 ## Built with
 

app/api/chat/api.ts

@@ -1,14 +1,13 @@
 import { saveFinalAssistantMessage } from "@/app/api/chat/db"
-import { checkSpecialAgentUsage, incrementSpecialAgentUsage } from "@/lib/api"
+import type {
+  ChatApiParams,
+  LogUserMessageParams,
+  StoreAssistantMessageParams,
+  SupabaseClientType,
+} from "@/app/types/api.types"
 import { sanitizeUserInput } from "@/lib/sanitize"
 import { validateUserIdentity } from "@/lib/server/api"
 import { checkUsageByModel, incrementUsageByModel } from "@/lib/usage"
-import type { 
-  SupabaseClientType, 
-  ChatApiParams, 
-  LogUserMessageParams, 
-  StoreAssistantMessageParams 
-} from "@/app/types/api.types"
 
 export async function validateAndTrackUsage({
   userId,
@@ -48,12 +47,6 @@ export async function logUserMessage({
   }
 }
 
-export async function trackSpecialAgentUsage(supabase: SupabaseClientType, userId: string): Promise<void> {
-  if (!supabase) return
-  await checkSpecialAgentUsage(supabase, userId)
-  await incrementSpecialAgentUsage(supabase, userId)
-}
-
 export async function storeAssistantMessage({
   supabase,
   chatId,

app/api/chat/route.ts

@@ -1,6 +1,4 @@
-import { loadAgent } from "@/lib/agents/load-agent"
 import { SYSTEM_PROMPT_DEFAULT } from "@/lib/config"
-import { loadMCPToolsFromURL } from "@/lib/mcp/load-mcp-from-url"
 import { getAllModels } from "@/lib/models"
 import { getProviderForModel } from "@/lib/openproviders/provider-map"
 import type { ProviderWithoutOllama } from "@/lib/user-keys"
@@ -9,14 +7,9 @@ import { Message as MessageAISDK, streamText, ToolSet } from "ai"
 import {
   logUserMessage,
   storeAssistantMessage,
-  trackSpecialAgentUsage,
   validateAndTrackUsage,
 } from "./api"
-import {
-  cleanMessagesForTools,
-  createErrorResponse,
-  extractErrorMessage,
-} from "./utils"
+import { createErrorResponse, extractErrorMessage } from "./utils"
 
 export const maxDuration = 60
 
@@ -27,7 +20,6 @@ type ChatRequest = {
   model: string
   isAuthenticated: boolean
   systemPrompt: string
-  agentId: string | null
   enableSearch: boolean
 }
 
@@ -40,7 +32,6 @@ export async function POST(req: Request) {
       model,
       isAuthenticated,
       systemPrompt,
-      agentId,
       enableSearch,
     } = (await req.json()) as ChatRequest
 
@@ -71,37 +62,14 @@ export async function POST(req: Request) {
       })
     }
 
-    let agentConfig = null
-
-    if (agentId) {
-      agentConfig = await loadAgent(agentId)
-    }
-
     const allModels = await getAllModels()
     const modelConfig = allModels.find((m) => m.id === model)
 
     if (!modelConfig || !modelConfig.apiSdk) {
       throw new Error(`Model ${model} not found`)
     }
 
-    const effectiveSystemPrompt =
-      agentConfig?.systemPrompt || systemPrompt || SYSTEM_PROMPT_DEFAULT
-
-    let toolsToUse = undefined
-
-    if (agentConfig?.mcpConfig) {
-      const { tools } = await loadMCPToolsFromURL(agentConfig.mcpConfig.server)
-      toolsToUse = tools
-    } else if (agentConfig?.tools) {
-      toolsToUse = agentConfig.tools
-      if (supabase) {
-        await trackSpecialAgentUsage(supabase, userId)
-      }
-    }
-
-    // Clean messages when switching between agents with different tool capabilities
-    const hasTools = !!toolsToUse && Object.keys(toolsToUse).length > 0
-    const cleanedMessages = cleanMessagesForTools(messages, hasTools)
+    const effectiveSystemPrompt = systemPrompt || SYSTEM_PROMPT_DEFAULT
 
     let apiKey: string | undefined
     if (isAuthenticated && userId) {
@@ -115,8 +83,8 @@ export async function POST(req: Request) {
     const result = streamText({
       model: modelConfig.apiSdk(apiKey, { enableSearch }),
       system: effectiveSystemPrompt,
-      messages: cleanedMessages,
-      tools: toolsToUse as ToolSet,
+      messages: messages,
+      tools: {} as ToolSet,
       maxSteps: 10,
       onError: (err: unknown) => {
         console.error("Streaming error occurred:", err)