dguiducci
5081ec2afe
Nightly Build / build (push) Successful in 6m50s
Remove the scope system end-to-end (llm_models.scope column, agent meta scope field, scope-based tier in model selection, UI checkboxes/pills): it was only a soft ranking hint, had drifted (6 UI scopes vs 3 used by agents, 'general' not even selectable) and duplicated what strength already decides. Strength stays the single AUTO-selection axis. Compaction: the summary model is now pickable from the Settings page via a new PropertyType::LlmModel config property (registry key compaction_model), instance-wide and live (no restart). Fallback chain: explicit pick -> compaction.strength from config.yml -> priority order; a deleted configured model degrades to AUTO. ContextCompactor reads the key at compact time through GlobalConfigManager.
20 lines
1.0 KiB
JSON
20 lines
1.0 KiB
JSON
{
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"name": "Researcher",
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"description": "Multi-step web research; returns a structured summary and saves findings to the scratchpad.",
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"friendly_description": "Does multi-step web research and gives you back a structured summary, saving its sources to the scratchpad.",
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"i18n": {
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"it": {
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"name": "Ricercatore",
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"friendly_description": "Conduce ricerche web articolate e ti restituisce un riepilogo strutturato, salvando le fonti negli appunti."
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},
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"fr": {
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"name": "Chercheur",
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"friendly_description": "Effectue des recherches web multi-étapes et vous restitue un résumé structuré, en sauvegardant ses sources dans le bloc-notes."
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}
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},
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"instructions": "Pass a specific research question; optionally hint at depth (how many sources) or a time horizon. Optionally specify an output file/dir in the prompt to write the report outside the default `data/research/`. Returns a path + one-line summary, also saved to the scratchpad.",
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"type": "task",
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"strength": "average",
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"icon": "icon.png"
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}
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