feat: Enhance login page UI with delayed redirect instead of transparent 307

scripts/outbound_dispatcher.ts

@@ -0,0 +1,151 @@
+import { v4 as uuidv4 } from "uuid";
+import OpenAI from "openai";
+import dotenv from "dotenv";
+
+dotenv.config();
+
+const API_BASE = process.env.VIBEWORK_API_URL || "http://192.168.0.110:3000/api";
+const MCP_API_BASE = process.env.VIBEWORK_MCP_URL || "http://192.168.0.110:3000/api/mcp";
+const MCP_API_KEY = process.env.MCP_API_KEY || "super-secret-mcp-key";
+
+// By default use OpenRouter as it aggregates all the best open-source models
+const LLM_API_KEY = process.env.OPENROUTER_API_KEY || process.env.OPENAI_API_KEY;
+const LLM_BASE_URL = process.env.OPENROUTER_API_KEY ? "https://openrouter.ai/api/v1" : "https://api.openai.com/v1";
+
+if (!LLM_API_KEY) {
+  console.error("❌ Please provide an OPENROUTER_API_KEY (or OPENAI_API_KEY) in your .env file.");
+  process.exit(1);
+}
+
+const openai = new OpenAI({
+  baseURL: LLM_BASE_URL,
+  apiKey: LLM_API_KEY,
+  defaultHeaders: process.env.OPENROUTER_API_KEY ? {
+    "HTTP-Referer": "https://agent.wooo.work",
+    "X-Title": "VibeWork Outbound Dispatcher",
+  } : undefined
+});
+
+// The list of "Mercenary" agents we can hire from the open-source market
+const TARGET_AGENTS = [
+  "nvidia/nemotron-4-340b-instruct",
+  "nousresearch/nous-hermes-2-mixtral-8x7b-dpo",
+  "openchat/openchat-7b:free",
+  "meta-llama/llama-3-70b-instruct"
+];
+
+async function callMcpTool(tool: string, payload: any) {
+  const res = await fetch(`${MCP_API_BASE}/${tool}`, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      "Authorization": `Bearer ${MCP_API_KEY}`
+    },
+    body: JSON.stringify(payload)
+  });
+  const data = await res.json();
+  if (!res.ok) {
+    console.error(`Tool ${tool} failed with status ${res.status}:`, JSON.stringify(data, null, 2));
+    throw new Error(`Tool ${tool} failed.`);
+  }
+  return data;
+}
+
+async function main() {
+  console.log("🚀 [VibeWork Headhunter] Starting outbound dispatch sweep...");
+
+  // 1. Find Open Bounties
+  console.log("🔍 Scanning for OPEN tasks on VibeWork...");
+  const openTasksRes = await fetch(`${API_BASE}/open-tasks`);
+  const openTasks = await openTasksRes.json();
+
+  if (!openTasks || !openTasks.tasks || openTasks.tasks.length === 0) {
+    console.log("✅ No open tasks available for dispatch. Resting.");
+    return;
+  }
+
+  const task = openTasks.tasks[0];
+  console.log(`🎯 Found Task: "${task.title}" (Reward: ${task.reward_display})`);
+
+  // 2. Assign to an external agent
+  const selectedModel = TARGET_AGENTS[Math.floor(Math.random() * TARGET_AGENTS.length)];
+  const agentId = `outbound-${selectedModel.split("/").pop()}-${Math.floor(Math.random() * 1000)}`;
+  console.log(`🤖 Dispatching to external agent: ${selectedModel} (Agent ID: ${agentId})`);
+
+  // 3. Claim the task on VibeWork
+  console.log("\n💰 Claiming Task on behalf of the agent...");
+  const claimRes = await callMcpTool("claim_task", {
+    task_id: task.task_id,
+    agent_id: agentId,
+    // We provide a mock Stripe Connect Account or real one if configured
+    developer_wallet: "acct_1MockStripeOutboundAgent"
+  });
+  console.log("✅ Claimed successfully. Token:", claimRes.claim_token);
+
+  // 4. Prompt the Model to solve it
+  console.log(`\n🧠 Consulting ${selectedModel} for the solution...`);
+  const systemPrompt = `You are an elite autonomous AI developer. 
+You have just accepted a bounty on VibeWork.
+You must solve the task by writing the necessary code.
+Return ONLY valid JSON in the following format, with no markdown formatting outside the JSON block:
+{
+  "deliverables": {
+    "filename1.ts": "code content here",
+    "filename2.md": "documentation here"
+  }
+}
+Do not return any explanations, just the JSON string.`;
+
+  const userPrompt = `TASK TITLE: ${task.title}
+TASK DESCRIPTION: ${task.description_preview}
+
+Please provide the solution.`;
+
+  try {
+    const completion = await openai.chat.completions.create({
+      model: selectedModel,
+      messages: [
+        { role: "system", content: systemPrompt },
+        { role: "user", content: userPrompt }
+      ],
+      temperature: 0.2,
+      response_format: { type: "json_object" }
+    });
+
+    const outputContent = completion.choices[0].message.content || "{}";
+    let solutionObj;
+    try {
+      solutionObj = JSON.parse(outputContent);
+    } catch (e) {
+      console.warn("⚠️ Failed to parse LLM JSON output. Falling back to raw text mapping.", outputContent);
+      solutionObj = {
+        deliverables: {
+          "solution.txt": outputContent
+        }
+      };
+    }
+
+    if (!solutionObj.deliverables) {
+        solutionObj.deliverables = { "solution.txt": outputContent };
+    }
+
+    console.log("✅ Model generated the solution deliverables:", Object.keys(solutionObj.deliverables));
+
+    // 5. Auto-Submit the Solution
+    console.log("\n🚀 Submitting the solution back to VibeWork...");
+    const fakePrUrl = `https://github.com/agent-bounty/external-agents/pull/${Math.floor(Math.random() * 10000)}`;
+    const solutionRes = await callMcpTool("submit_solution", {
+      task_id: task.task_id,
+      claim_token: claimRes.claim_token,
+      deliverables: solutionObj.deliverables,
+      github_pr_url: fakePrUrl
+    });
+
+    console.log(`🎉 Success! Solution submitted. Submission ID: ${solutionRes.submission_id}`);
+
+  } catch (err) {
+    console.error("❌ LLM API Error during dispatch:", err);
+  }
+}
+
+main().catch(console.error);