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
18 lines
599 B
SQL
18 lines
599 B
SQL
-- Migration 019: Add embedding usage tracking table
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-- Supports #241 (Embedding Model Pricing)
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CREATE TABLE IF NOT EXISTS public.embedding_usage_logs (
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id SERIAL PRIMARY KEY,
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tenant_id VARCHAR(100) NOT NULL,
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user_id VARCHAR(100) NOT NULL,
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tokens_used INTEGER NOT NULL,
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embedding_count INTEGER NOT NULL,
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model VARCHAR(100) DEFAULT 'BAAI/bge-m3',
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cost_cents DECIMAL(10,4) NOT NULL,
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request_id VARCHAR(100),
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timestamp TIMESTAMP DEFAULT NOW()
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);
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CREATE INDEX IF NOT EXISTS idx_embedding_usage_tenant_timestamp
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ON public.embedding_usage_logs(tenant_id, timestamp);
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