IgorWarzocha

IgorWarzocha / pi-auto-reasoning-tool

Public

A tool that allows the agent to change its reasoning levels.

17
0
69% credibility
Found Apr 27, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A minimal add-on for the Pi AI platform that enables agents to self-adjust their thinking depth to low, medium, or high levels via a simple tool, automatically resetting to low afterward.

How It Works

1
🔍 Discover the tool

While chatting with your AI helper in Pi, you learn about a simple add-on that lets the AI decide when to think deeper on tough problems.

2
📦 Add it to Pi

You easily add this helpful tool to your Pi setup by following the quick instructions in its guide.

3
🔄 Refresh Pi

You restart or reload Pi, and everything is ready to go without any hassle.

4
✨ AI gets smarter control

Now your AI companion has a special button to switch its thinking from simple, to medium, or deep when needed.

5
🤖 AI uses the switch

During a conversation or task, the AI picks the right thinking level for the job, like deeper for complex plans.

6
🔄 Resets automatically

After finishing the task, the AI thinking level goes back to simple mode on its own, keeping things efficient.

🎉 Smarter results

You enjoy better answers from your AI without wasting time or effort, making your projects smoother and faster.

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Star Growth

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AI-Generated Review

What is pi-auto-reasoning-tool?

This TypeScript package for Pi agents lets AI agents dynamically switch their reasoning level—low, medium, or high—via a simple `change_reasoning` tool call. It solves the problem of fixed compute budgets by allowing agents to ramp up thinking power for tough tasks like multi-step planning or architecture work, then auto-resets to low after each run to keep costs down. Install it with `pi install npm:@howaboua/pi-auto-reasoning-tool` or via Pi settings, and it registers the tool instantly.

Why is it gaining traction?

Unlike broader agent kits, this stays laser-focused: no UI, no scoring, just a conservative prompt that urges sparing use alongside other tools, preventing wasted turns. Developers dig the auto-reset and model-aware clamping feedback, making it a lightweight github tool for agent optimization without bloat. At 17 stars, it's niche but hooks Pi users tweaking agent performance on the fly.

Who should use this?

Pi agent builders handling variable-complexity coding, like backend devs architecting systems or full-stack teams debugging cross-module issues. Ideal for github tool kit users in agent workflows needing on-demand reasoning boosts, not constant high compute.

Verdict

Grab it if you're deep in Pi agents—minimal docs and TypeScript simplicity make it dead-easy to extend, despite low 0.699999988079071% credibility score and 17 stars signaling early maturity. Solid for experiments, but watch for broader adoption before production reliance. (178 words)

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