I ended up deleting in because what I really needed it to do "act on my behalf", it kept telling me it wasnt able to do? Is there a way to cnfigure it completely free to be anything needed?

Hey everyone, if you’re actively building and testing with OpenClaw, you've probably noticed how fast API token costs can rack up—especially if an agent gets stuck in a logic loop overnight. I set these up for clients full-time, and the very first thing we do is secure their testing environment so they aren't bleeding money on API calls. You absolutely do not need to pay per token just to build and test your workflows. I just recorded a full step-by-step guide showing exactly how to bypass these costs and run premium LLMs for $0.00. In the video, I walk through: 1. Nvidia’s Free Models: The exact JSON config changes to swap your primary model to Kimi K2.5 for free. 2. The OAuth Trick: If you already pay for ChatGPT Plus or Gemini Pro, I show you how to connect your account directly so you stop paying for AI twice. 3. Open Router Setup: How to route into Open Router to unlock a massive library of 100% free models (like DeepSeek R1). I show my screen for the entire setup, including the terminal commands and the exact raw config edits you need to make. 📺 You can watch the full walkthrough here: https://www.youtube.com/watch?v=Qfj_Zj1GuQI Save your paid API tokens for your actual production tasks, not testing! Let me know in the comments if you run into any config errors while setting this up—happy to help you troubleshoot.

I asked open claw to download and test a local LLM and now it won’t respond anymore

OpenClaw v2026.3.2 is out, and after going through the release notes, this one continues the 2026 trend: less flashy features, more tightening of the core engine. Here’s what stands out in practical terms: 🔐 Secrets workflow improvements The newer structured secrets management system continues to mature. That means: - Cleaner API key handling - Safer apply/reload behavior - Less risk of config drift or messy upgrades If you’ve ever had weird auth issues after an update, this direction is a good sign. 🧵 Thread-bound / ACP agent stability Thread sessions and agent lifecycle handling keep getting refined. In normal language: - Fewer stuck thread states - Cleaner agent startup and cleanup - More predictable replies inside threaded environments If you’re running Telegram, Slack, or multi-agent setups, this matters. 🔁 Delivery queue & retry reliability There are more fixes around retry backoff and queue handling. Translation:Failed sends are less likely to create weird starvation loops or get stuck in awkward states. That’s the kind of fix you don’t notice… until you don’t have random delivery glitches anymore. ⌨️ Typing indicator fixes (again, but deeper) They’ve continued hardening typing cleanup logic across channels. This includes: - Preventing stuck “typing…” states - Cross-channel typing isolation - Time-to-live safety guards If you’ve ever had a bot sit there “typing” forever, this is directly aimed at that. 📱 Device & node support continues to expand Android node commands and device capability handling are improving.The broader 2026.x cycle has also been strengthening mobile/node onboarding. If you’re building a proper node mesh setup, this release keeps pushing that forward. 🛡️ Safety & enforcement handling (Telegram especially) There are bounded backoffs and protections to avoid aggressive retry loops that could trigger platform enforcement. That’s important if you’re running production bots. Big Picture v2026.3.2 feels like another “make the engine solid” release.