feat: per-task-type model assignment with three-tier system#185
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CaitlynByrne wants to merge 2 commits intoAutoForgeAI:masterfrom
Open
feat: per-task-type model assignment with three-tier system#185CaitlynByrne wants to merge 2 commits intoAutoForgeAI:masterfrom
CaitlynByrne wants to merge 2 commits intoAutoForgeAI:masterfrom
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Allows assigning different AI models to different task types (initializer, coding, testing, spec creation, expansion, assistant, log review). Each provider defines three tiers (high/mid/low) with smart defaults -- e.g., Opus for initialization, Sonnet for coding, Haiku for testing. Users can override per-role in Settings, and the assistant chat panel gets an on-the-fly tier switcher. - registry.py: ROLE_TIER_MAP, provider tiers, get_model_for_role() - parallel_orchestrator.py: per-role model resolution in spawn methods - Chat sessions: use get_model_for_role() per session type - Settings API: read/write per-role overrides, expose tiers - UI: collapsible "Model per Task" section, assistant tier toggle Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Clicking a model in the global Model selector now sets all 7 per-role model assignments to that model, shows an inline toast confirming the change, and auto-expands the per-task section for further customization. The global selector only highlights a model when all roles match it. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Please could you resolve the conflict? |
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