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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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b13cb389cc
- API routers, ACA modules, integrations (draft operators) - Docs, landing pages, scripts (launch readiness, scorecard) - Tests and CI workflow updates for Dealix Co-authored-by: Cursor <cursoragent@cursor.com>
31 lines
1.6 KiB
Python
31 lines
1.6 KiB
Python
"""Map task types to suggested provider + cost class — deterministic."""
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from __future__ import annotations
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from typing import Any
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_ROUTES: dict[str, dict[str, Any]] = {
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"strategic_reasoning": {"provider": "anthropic", "cost_class": "high", "needs_guardrail": True},
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"arabic_copywriting": {"provider": "anthropic", "cost_class": "medium", "needs_guardrail": True},
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"classification": {"provider": "openai", "cost_class": "low", "needs_guardrail": True},
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"compliance_guardrail": {"provider": "openai", "cost_class": "low", "needs_guardrail": False},
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"meeting_analysis": {"provider": "google", "cost_class": "medium", "needs_guardrail": True},
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"vision_analysis": {"provider": "google", "cost_class": "medium", "needs_guardrail": True},
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"extraction": {"provider": "groq", "cost_class": "low", "needs_guardrail": True},
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"summarization": {"provider": "openai", "cost_class": "low", "needs_guardrail": True},
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"low_cost_bulk": {"provider": "groq", "cost_class": "minimal", "needs_guardrail": True},
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"coding_project_understanding": {"provider": "anthropic", "cost_class": "high", "needs_guardrail": True},
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}
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def list_tasks() -> dict[str, Any]:
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return {"task_types": sorted(_ROUTES.keys()), "demo": True}
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def route_task(task_type: str) -> dict[str, Any]:
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t = (task_type or "").strip().lower().replace("-", "_")
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if t not in _ROUTES:
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return {"ok": False, "error": "unknown_task_type", "known": sorted(_ROUTES.keys()), "demo": True}
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r = _ROUTES[t]
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return {"ok": True, "task_type": t, **r, "fallback_provider": "groq", "demo": True}
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