Using Astra as orchestrator and DeepSeek Flash as cheap subagent
A tutorial uses codex-router to set DeepSeek V4.1 Flash as a subagent while Astra plans and reviews, claiming an around-the-clock AI team for about $50 a month.
If you don't know, you can use DeepSeek V4.1 Flash as a subagent inside a GPT-6 Astra Codex workflow. That means Astra can plan the work and delegate implementation to Flash. This can cut your AI agent costs massively. You just need to set it up once. Here's how: Step 1: Install codex-router curl -fsSL https://raw.githubusercontent.com/duolahypercho/codex-router/main/install.sh | sh -s -- --target codex --guided --with-tray Step 2: Add your DeepSeek/Opencode API key Enable: deepseek/deepseek-v4-flash as a subagent model. Keep GPT-6 Astra as your root model. Do NOT make Flash the default root model. Step 3: Tell Astra how to delegate Use this rule: "You are the orchestrator. Use Astra for planning, architecture, security-sensitive decisions and final review. For implementation, coding, debugging, research, writing, data processing and routine work, explicitly delegate bounded subtasks to deepseek/deepseek-v4-flash. After Flash finishes, inspect the result yourself before accepting it." Step 4: Verify it Run a small implementation task. Check router activity. You should see: Astra → delegates → DeepSeek Flash → result → Astra reviews That's it. $20 ChatGPT Plus. ~$30 DeepSeek credits. A 24/7 AI workforce for around $50/month. Full guide below 👇
This post quotes another post: “DeepSeek V4.1 Flash as a cheaper Astra alternative for a 24/7 AI workforce”