Fully migrate off Gemini: shared Ollama client (gemma4:26b @ shadow-death), health reports llm backend, drop @google/genai

README.md

@@ -40,11 +40,18 @@ npm run dev        # tsx server.ts with Vite HMR
 
 ## Configuration
 
-Set `GEMINI_API_KEY` in `.env.local` to enable the AI prompt-to-tool generator. All other features run without any external key.
+AI features (tool generation, web-search synthesis, text summarization) run on a **local Ollama model** — `gemma4:26b` on `shadow-death` (`http://10.30.20.128:11434`) by default. No cloud API key required.
+
+Override via environment variables:
+
+| Variable | Default |
+|----------|---------|
+| `OLLAMA_HOST` | `http://10.30.20.128:11434` |
+| `OLLAMA_MODEL` | `gemma4:26b` |
 
 ## Stack
 
-React 19 · Vite 6 · Express 4 · TypeScript · Tailwind CSS 4 · Recharts · `@google/genai`
+React 19 · Vite 6 · Express 4 · TypeScript · Tailwind CSS 4 · Recharts · Ollama (local LLM)
 
 ---
 

package-lock.json

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-      "integrity": "sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA==",
-      "license": "Apache-2.0"
-    },
     "node_modules/lru-cache": {
       "version": "5.1.1",
       "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
@@ -3341,44 +3048,6 @@
         "node": ">= 0.6"
       }
     },
-    "node_modules/node-domexception": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
-      "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
-      "deprecated": "Use your platform's native DOMException instead",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/jimmywarting"
-        },
-        {
-          "type": "github",
-          "url": "https://paypal.me/jimmywarting"
-        }
-      ],
-      "license": "MIT",
-      "engines": {
-        "node": ">=10.5.0"
-      }
-    },
-    "node_modules/node-fetch": {
-      "version": "3.3.2",
-      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
-      "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
-      "license": "MIT",
-      "dependencies": {
-        "data-uri-to-buffer": "^4.0.0",
-        "fetch-blob": "^3.1.4",
-        "formdata-polyfill": "^4.0.10"
-      },
-      "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/node-fetch"
-      }
-    },
     "node_modules/node-releases": {
       "version": "2.0.53",
       "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.53.tgz",
@@ -3412,19 +3081,6 @@
         "node": ">= 0.8"
       }
     },
-    "node_modules/p-retry": {
-      "version": "4.6.2",
-      "resolved": "https://registry.npmjs.org/p-retry/-/p-retry-4.6.2.tgz",
-      "integrity": "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ==",
-      "license": "MIT",
-      "dependencies": {
-        "@types/retry": "0.12.0",
-        "retry": "^0.13.1"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
     "node_modules/parseurl": {
       "version": "1.3.3",
       "resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
@@ -3493,29 +3149,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/protobufjs": {
-      "version": "7.6.5",
-      "resolved": "https://registry.npmjs.org/protobufjs/-/protobufjs-7.6.5.tgz",
-      "integrity": "sha512-/FPD0nUc9jH6rfFjji9IBqOz4pcSE3CsT1m7Ep6Mdb0LxSUMj8hgl6GomOvZzpNpAqqGaXA0P3VSrZLFzIhQrw==",
-      "hasInstallScript": true,
-      "license": "BSD-3-Clause",
-      "dependencies": {
-        "@protobufjs/aspromise": "^1.1.2",
-        "@protobufjs/base64": "^1.1.2",
-        "@protobufjs/codegen": "^2.0.5",
-        "@protobufjs/eventemitter": "^1.1.1",
-        "@protobufjs/fetch": "^1.1.1",
-        "@protobufjs/float": "^1.0.2",
-        "@protobufjs/path": "^1.1.2",
-        "@protobufjs/pool": "^1.1.0",
-        "@protobufjs/utf8": "^1.1.1",
-        "@types/node": ">=13.7.0",
-        "long": "^5.3.2"
-      },
-      "engines": {
-        "node": ">=12.0.0"
-      }
-    },
     "node_modules/proxy-addr": {
       "version": "2.0.7",
       "resolved": "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.7.tgz",
@@ -3680,15 +3313,6 @@
       "integrity": "sha512-AgZ3UOZm3YndfrJ4OYjgrT7bmCm/1iqkjvEfH/oYjzh6PD2qw4QuT3jjnXIrpdt4MTpMXclMT3lXbmRY+XRakw==",
       "license": "MIT"
     },
-    "node_modules/retry": {
-      "version": "0.13.1",
-      "resolved": "https://registry.npmjs.org/retry/-/retry-0.13.1.tgz",
-      "integrity": "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 4"
-      }
-    },
     "node_modules/rollup": {
       "version": "4.62.4",
       "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.62.4.tgz",
@@ -4489,6 +4113,7 @@
       "version": "6.21.0",
       "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
       "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
+      "devOptional": true,
       "license": "MIT"
     },
     "node_modules/unpipe": {
@@ -4653,36 +4278,6 @@
         }
       }
     },
-    "node_modules/web-streams-polyfill": {
-      "version": "3.3.3",
-      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
-      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 8"
-      }
-    },
-    "node_modules/ws": {
-      "version": "8.21.3",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.21.3.tgz",
-      "integrity": "sha512-201TZ/kPWxoPr/OKWjquZR1SWKXcvxdH+e1xrx89b3YbmzLMFCLfnaG1HFIgWzJOEWZ7MvpK++odZufgYR50Rw==",
-      "license": "MIT",
-      "engines": {
-        "node": ">=10.0.0"
-      },
-      "peerDependencies": {
-        "bufferutil": "^4.0.1",
-        "utf-8-validate": ">=5.0.2"
-      },
-      "peerDependenciesMeta": {
-        "bufferutil": {
-          "optional": true
-        },
-        "utf-8-validate": {
-          "optional": true
-        }
-      }
-    },
     "node_modules/yallist": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",

package.json

@@ -11,7 +11,6 @@
     "lint": "tsc --noEmit"
   },
   "dependencies": {
-    "@google/genai": "^2.4.0",
     "@tailwindcss/vite": "^4.1.14",
     "@vitejs/plugin-react": "^5.0.4",
     "dotenv": "^17.2.3",

server.ts

@@ -10,6 +10,7 @@ import { generateMCPToolFromPrompt } from './src/server/aiGenerator.js';
 import { mcpWorkflowManager } from './src/server/mcpWorkflows.js';
 import { mcpSecurityManager } from './src/server/mcpSecurity.js';
 import { SystemLog, ServerStats } from './src/types.js';
+import { OLLAMA_HOST, OLLAMA_MODEL } from './src/server/llmClient.js';
 
 // Inject memoryStore reference into tools module
 setMemoryStoreRef(memoryStore);
@@ -65,7 +66,6 @@ addLog({
 app.get('/api/v1/system/status', (req: Request, res: Response) => {
   const uptimeSeconds = Math.floor((Date.now() - startTime) / 1000);
   const avgLatency = totalRequests > 0 ? Math.round(totalLatencySum / totalRequests) : 0;
-  const apiKey = process.env.GEMINI_API_KEY;
   const servers = mcpRegistry.getServers();
   const activeTools = mcpRegistry.getAllActiveTools();
 
@@ -81,7 +81,9 @@ app.get('/api/v1/system/status', (req: Request, res: Response) => {
     totalMCPServersCount: servers.length,
     avgLatencyMs: avgLatency,
     memoryUsageMb: Math.round(process.memoryUsage().heapUsed / 1024 / 1024),
-    hasGeminiKey: Boolean(apiKey && apiKey !== 'MY_GEMINI_API_KEY'),
+    llmProvider: 'ollama',
+    llmModel: OLLAMA_MODEL,
+    llmHost: OLLAMA_HOST,
   };
 
   res.json(stats);

src/components/SettingsTab.tsx

@@ -70,17 +70,13 @@ export const SettingsTab: React.FC<SettingsTabProps> = ({ stats }) => {
 
           <div className="p-4 bg-slate-50 border border-slate-200 rounded-xl space-y-3">
             <div className="flex items-center justify-between">
-              <span className="text-xs font-semibold text-slate-700">GEMINI_API_KEY</span>
+              <span className="text-xs font-semibold text-slate-700">LOCAL LLM (Ollama)</span>
-              <span
+              <span className="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-bold bg-emerald-100 text-emerald-800">
-                className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-bold ${
+                {stats?.llmModel || 'gemma4:26b'}
-                  stats?.hasGeminiKey ? 'bg-emerald-100 text-emerald-800' : 'bg-amber-100 text-amber-800'
-                }`}
-              >
-                {stats?.hasGeminiKey ? 'ACTIVE & CONFIGURED' : 'USING HEURISTIC FALLBACK'}
               </span>
             </div>
             <p className="text-xs text-slate-500 leading-relaxed">
-              Required for web search synthesis, AI document summarization, and LLM classification. AI Studio injects this automatically from the Secrets panel.
+              Running on {stats?.llmHost || 'shadow-death (.128)'} via Ollama /api/chat. Powers web search synthesis, document summarization, and AI tool generation — no cloud API key required.
             </p>
           </div>
 

src/server/aiGenerator.ts

@@ -1,32 +1,5 @@
 import { MCPServerDefinition, ToolDefinition } from '../types.js';
-
+import { callLocalModel } from './llmClient.js';
-const OLLAMA_HOST = process.env.OLLAMA_HOST || 'http://10.30.20.128:11434';
-const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'gemma4:26b';
-
-async function callLocalModel(prompt: string): Promise<string> {
-  const res = await fetch(`${OLLAMA_HOST}/api/chat`, {
-    method: 'POST',
-    headers: { 'Content-Type': 'application/json' },
-    body: JSON.stringify({
-      model: OLLAMA_MODEL,
-      messages: [{ role: 'user', content: prompt }],
-      stream: false,
-      format: 'json',
-      keep_alive: '30m',
-      options: { num_predict: 4096, temperature: 0.2 },
-    }),
-    signal: AbortSignal.timeout(180000),
-  });
-  if (!res.ok) {
-    throw new Error(`Ollama HTTP ${res.status} (${res.statusText})`);
-  }
-  const data = await res.json();
-  let content = data?.message?.content || '';
-  if (!content) content = data?.message?.thinking || '';
-  content = content.trim();
-  if (!content) throw new Error('Empty response from local model');
-  return content;
-}
 
 export interface GeneratedMCPResponse {
   serverName: string;
@@ -83,7 +56,7 @@ Respond ONLY with valid JSON (no markdown ticks or commentary) matching this Typ
 
 Provide executable JavaScript code for customScript or accurate URL template for webhookConfig. Use fetch() if HTTP calls are needed inside customScript.`;
 
-    const rawText = await callLocalModel(systemPrompt);
+    const rawText = await callLocalModel(systemPrompt, { formatJson: true });
     const cleanJson = rawText.replace(/```json/g, '').replace(/```/g, '').trim();
     const parsed = JSON.parse(cleanJson);
     return parsed;

src/server/llmClient.ts

@@ -0,0 +1,38 @@
+// Shared local-LLM client — Ollama on shadow-death (.128).
+// Single source of truth for host/model across the whole app.
+export const OLLAMA_HOST = process.env.OLLAMA_HOST || 'http://10.30.20.128:11434';
+export const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'gemma4:26b';
+
+export interface LocalModelOptions {
+  formatJson?: boolean;
+  numPredict?: number;
+  temperature?: number;
+}
+
+export async function callLocalModel(prompt: string, opts: LocalModelOptions = {}): Promise<string> {
+  const body: Record<string, any> = {
+    model: OLLAMA_MODEL,
+    messages: [{ role: 'user', content: prompt }],
+    stream: false,
+    keep_alive: '30m',
+    options: {
+      num_predict: opts.numPredict ?? 4096,
+      temperature: opts.temperature ?? 0.2,
+    },
+  };
+  if (opts.formatJson) body.format = 'json';
+
+  const res = await fetch(`${OLLAMA_HOST}/api/chat`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify(body),
+    signal: AbortSignal.timeout(180000),
+  });
+  if (!res.ok) {
+    throw new Error(`Ollama HTTP ${res.status} (${res.statusText})`);
+  }
+  const data = await res.json();
+  let content = data?.message?.content || '';
+  if (!content) content = data?.message?.thinking || '';
+  return (content || '').trim();
+}

src/server/tools/index.ts

@@ -1,5 +1,5 @@
 import crypto from 'node:crypto';
-import { GoogleGenAI } from '@google/genai';
+import { callLocalModel } from '../llmClient.js';
 import { ToolDefinition, ToolExecutionResult } from '../../types.js';
 import { LOCAL_MODEL_TOOLS, executeLocalModelTool } from './localModelTools.js';
 
@@ -364,23 +364,18 @@ export async function executeTool(toolName: string, args: any): Promise<ToolExec
         break;
       }
 
-      // 2. WEB SEARCH GEMINI
+      // 2. WEB SEARCH (local LLM)
       case 'web_search_gemini': {
         const { query, detailLevel = 'detailed' } = args;
-        const apiKey = process.env.GEMINI_API_KEY;
+        try {
-
+          const answer = await callLocalModel(
-        if (apiKey && apiKey !== 'MY_GEMINI_API_KEY') {
+            `You are a web research assistant. The user asks: "${query}". Provide a ${detailLevel} answer with facts, explanations, and structure. Respond in Markdown.`,
-          const ai = new GoogleGenAI({ apiKey });
+          );
-          const response = await ai.models.generateContent({
-            model: 'gemini-2.5-flash',
-            contents: `The user asks: "${query}". Provide a ${detailLevel} answer with facts, explanations, and structure.`,
-          });
           contentType = 'markdown';
-          resultData = response.text || 'No response generated.';
+          resultData = answer || 'No response generated.';
-        } else {
+        } catch {
-          // Fallback when no key provided
           contentType = 'markdown';
-          resultData = `### Search Synthesis for: "${query}"\n\n*(Note: GEMINI_API_KEY is not configured in .env. Showing structured query response)*\n\n- **Query Topic:** ${query}\n- **Analysis Level:** ${detailLevel}\n- **Status:** Server ready for live Gemini AI web synthesis once GEMINI_API_KEY is set in Settings.`;
+          resultData = `### Search Synthesis for: "${query}"\n\n*(Note: local LLM unreachable — showing structured query response)*\n\n- **Query Topic:** ${query}\n- **Analysis Level:** ${detailLevel}\n- **Status:** Local model (${'gemma4:26b'}) on shadow-death unavailable.`;
         }
         break;
       }
@@ -909,32 +904,27 @@ export async function executeTool(toolName: string, args: any): Promise<ToolExec
         break;
       }
 
-      // 17. TEXT SUMMARIZE & CLASSIFY
+      // 17. TEXT SUMMARIZE & CLASSIFY (local LLM)
       case 'text_summarize_classify': {
         const { text, task = 'all' } = args;
-        const apiKey = process.env.GEMINI_API_KEY;
 
-        if (apiKey && apiKey !== 'MY_GEMINI_API_KEY') {
+        try {
-          const ai = new GoogleGenAI({ apiKey });
+          const summary = await callLocalModel(
-          const response = await ai.models.generateContent({
+            `Perform task "${task}" on the following text:\n"${text}"\nReturn a structured response with key takeaways, sentiment (positive/neutral/negative), and extracted entities.`,
-            model: 'gemini-2.5-flash',
+          );
-            contents: `Perform task "${task}" on the following text:
+          resultData = summary;
-            "${text}"
-            Return a structured response with key takeaways, sentiment (positive/neutral/negative), and extracted entities.`,
-          });
-          resultData = response.text;
           contentType = 'markdown';
-        } else {
+        } catch {
           // Heuristic summarizer
           const words = text.split(/\s+/);
           const sentences = text.split(/[.!?]+/).filter((s: string) => s.trim().length > 0);
-          const summary = sentences.slice(0, 3).join('. ') + '.';
+          const summaryText = sentences.slice(0, 3).join('. ') + '.';
 
           resultData = {
             task,
             wordCount: words.length,
             sentenceCount: sentences.length,
-            summary,
+            summary: summaryText,
             sentiment: text.toLowerCase().includes('great') || text.toLowerCase().includes('excellent') ? 'POSITIVE' : 'NEUTRAL',
             extractedKeywords: [...new Set(words.filter((w: string) => w.length > 6))].slice(0, 8),
           };

src/types.ts

@@ -150,7 +150,9 @@ export interface ServerStats {
   totalMCPServersCount: number;
   avgLatencyMs: number;
   memoryUsageMb: number;
-  hasGeminiKey: boolean;
+  llmProvider: string;
+  llmModel: string;
+  llmHost: string;
 }
 
 export interface AgentAutoSetupResponse {