Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked agai...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Multiple
Fastest way to find out if whileai-sdk belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/whilehq/whileai-sdk ~/.claude/agents/whileai-sdkRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/whileai-sdkNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ whileai-sdk/ ← installs here └─ settings.json
Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with a 95% interval, train with GRPO/SFT/DPO, prove every gain on a held-out set. uv add whileai
Source: GitHub repository
Source check: October 6, 2026
Upstream commit: October 6, 2026
Repository state: Not marked archived
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