orchestrai: run model playbooks on all devices + provision WSL for Hermes on Windows - #678
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…rmes on Windows Two related orchestrai-config changes plus a comment reflow: 1. Scope ram_128gb device-specifically so the model playbooks run on every device instead of Halo-only. lmstudio/pytorch-rocm/n8n pick a smaller model per device; vscode/gaia/openclaw run a fixed Qwen3-A3B MoE that lemonade offloads across GPU+CPU on the smaller RDNA cards. Moved from blanket extra_tags to device_extra_tags (ram_128gb on halo/halo_box only), the pattern unsloth-llms-finetuning already uses. extra_tags is now empty. 2. Provision WSL for hermes-lemonade-server on Windows: add it to extra_install_scripts (windows-wsl.ps1 + reboot before the deps phase), so app.wsl can install the Ubuntu distro that Hermes/Podman run inside. Mirrors openclaw-lemonade-server. orchestrai_trigger.py: comment-only generalization of the WSL provisioning note.
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Two related OrchestrAI config changes (config-only), keeping the shared orchestrai files aligned.
1. Run the model playbooks on all devices (ram_128gb scoping)
A blanket
extra_tags: [ram_128gb]combined withextra_tag_devices(ram_128gb → halo/halo_box) dropped six model playbooks from every non-128GB device. But they run on all devices in the legacytest-playbooksworkflow:Moved all to
device_extra_tagstaggingram_128gbonly on halo/halo_box (the patternunsloth-llms-finetuningalready uses).extra_tagsis now empty.2. Provision WSL for Hermes on Windows
Add
hermes-lemonade-servertoextra_install_scripts(windows-wsl.ps1+ reboot before the deps phase) soapp.wslcan install the Ubuntu distro that Hermes and Podman run inside on Windows. Mirrorsopenclaw-lemonade-server. Without it, hermes Windows runs fail with "WSL is not installed".orchestrai_trigger.py: comment-only generalization of the WSL note.Config-only; no internal coordinates.