Genai Toolbox

Genai Toolbox v2.0.0 — an AI toolkit for managing generative AI database workflows from the command line. Log configurations, benchmarks, prompts, evaluations, fine-tuning runs, cost tracking, and optimization notes. Each entry is timestamped and persisted locally. Works entirely offline — your data never leaves your machine.

Inspired by googleapis/genai-toolbox (13,412+ GitHub stars).

Why Genai Toolbox?

• Works entirely offline — your data never leaves your machine
• Simple command-line interface with no GUI dependency
• Export to JSON, CSV, or plain text at any time for sharing or archival
• Automatic activity history logging across all commands
• Each domain command doubles as both a logger and a viewer

Commands

Domain Commands

Each domain command works in two modes: log mode (with arguments) saves a timestamped entry, view mode (no arguments) shows the 20 most recent entries.

Utility Commands

Data Storage

All data is stored locally at ~/.local/share/genai-toolbox/. Each domain command writes to its own log file (e.g., configure.log, benchmark.log). A unified history.log tracks all actions across commands. Use export to back up your data at any time.

Requirements

• Bash (4.0+)
• No external dependencies — pure shell script
• No network access required

When to Use

• Tracking GenAI agent-to-database connection configurations and MCP server setups across environments
• Logging benchmark results for query latency, throughput, and AI model accuracy on SQL generation tasks
• Comparing different AI models or prompt strategies for database query generation accuracy
• Managing prompt templates and few-shot examples for schema-aware SQL synthesis workflows
• Tracking API costs, token usage, and compute expenses across multiple GenAI database integration projects

Examples

# Log a database connection configuration
genai-toolbox configure "PostgreSQL connection via MCP, schema=public, pool_size=10, ssl=required"

# Record a benchmark result
genai-toolbox benchmark "Query latency: avg 120ms, p99 350ms on 1M rows, index=btree"

# Compare two approaches
genai-toolbox compare "GPT-4 vs Claude for SQL generation: Claude +8% accuracy, GPT-4 2x faster"

# Log a prompt template
genai-toolbox prompt "v3: Generate SELECT query for {table} filtering by {condition}, include schema context"

# Track costs
genai-toolbox cost "March total: $42.50 across 150k queries, avg $0.00028/query"

# View all statistics
genai-toolbox stats

# Export everything as JSON
genai-toolbox export json

# Search across all logs
genai-toolbox search "PostgreSQL"

# Check recent activity
genai-toolbox recent

# Health check
genai-toolbox status

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