310491a557
- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
41 lines
936 B
Python
41 lines
936 B
Python
"""
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GT 2.0 Tenant Backend Models
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Database models for tenant-specific data with perfect isolation.
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Each tenant has their own SQLite database with these models.
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"""
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from .agent import Agent # Complete migration - only Agent class
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from .conversation import Conversation
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from .message import Message
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from .document import Document, RAGDataset, DatasetDocument, DocumentChunk
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from .user_session import UserSession
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from .workflow import (
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Workflow,
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WorkflowExecution,
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WorkflowTrigger,
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WorkflowSession,
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WorkflowMessage,
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WorkflowStatus,
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TriggerType,
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InteractionMode
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)
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__all__ = [
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"Agent",
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"Conversation",
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"Message",
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"Document",
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"RAGDataset",
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"DatasetDocument",
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"DocumentChunk",
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"UserSession",
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"Workflow",
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"WorkflowExecution",
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"WorkflowTrigger",
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"WorkflowSession",
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"WorkflowMessage",
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"WorkflowStatus",
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"TriggerType",
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"InteractionMode",
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] |