Genai Toolbox

---

name: Genai Toolbox

description: "Connect AI agents to databases via MCP with schema-aware query support. Use when querying DBs from agents, configuring connections, or benchmarking."

version: "1.0.0"

license: Apache-2.0

runtime: python3

---

# 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](https://github.com/googleapis/genai-toolbox) (13,412+ GitHub stars).

Why Genai Toolbox?

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.

| Command | Description |

|---------|-------------|

| `genai-toolbox configure <input>` | Log a configuration note such as database connection strings, MCP server settings, or schema definitions. Track which configurations were active during each experiment or deployment. |

| `genai-toolbox benchmark <input>` | Log a benchmark result or performance observation. Record query latency, throughput, p99 response times, and row-scan efficiency across different database backends. |

| `genai-toolbox compare <input>` | Log a comparison note between models, tools, or database configurations. Useful for side-by-side evaluations like GPT-4 vs Claude for SQL generation accuracy. |

| `genai-toolbox prompt <input>` | Log a prompt template or prompt engineering note. Track iterations on database query generation prompts, schema descriptions, and few-shot examples for SQL synthesis. |

| `genai-toolbox evaluate <input>` | Log an evaluation result or quality metric. Record query accuracy, semantic correctness scores, and human review outcomes for AI-generated database operations. |

| `genai-toolbox fine-tune <input>` | Log a fine-tuning run or hyperparameter note. Track training on domain-specific SQL patterns, schema-aware models, and the resulting improvements in query generation. |

| `genai-toolbox analyze <input>` | Log an analysis observation or insight. Record failure patterns, query plan analysis, common error modes, and data quality issues found across AI-database interactions. |

| `genai-toolbox cost <input>` | Log cost tracking data including API costs, database compute charges, and token consumption. Essential for monitoring expenses across multiple projects and cloud providers. |

| `genai-toolbox usage <input>` | Log usage metrics or consumption data. Track query volumes, token counts, connection pool utilization, and rate limit encounters across AI-database workflows. |

| `genai-toolbox optimize <input>` | Log optimization attempts or performance improvements. Record query plan changes, index additions, caching strategies, and their measured impact on performance. |

| `genai-toolbox test <input>` | Log test results or test case notes. Record integration test outcomes, edge case coverage for SQL generation, and regression test results across schema changes. |

| `genai-toolbox report <input>` | Log a report entry or summary finding. Capture weekly performance summaries, migration reports, or executive-level findings from AI-database integration projects. |

Utility Commands

| Command | Description |

|---------|-------------|

| `genai-toolbox stats` | Show summary statistics across all log files, including entry counts per category and total data size on disk. |

| `genai-toolbox export <fmt>` | Export all data to a file in the specified format. Supported formats: `json`, `csv`, `txt`. Output is saved to the data directory. |

| `genai-toolbox search <term>` | Search all log entries for a term using case-insensitive matching. Results are grouped by log category for easy scanning. |

| `genai-toolbox recent` | Show the 20 most recent entries from the unified activity log, giving a quick overview of recent work across all commands. |

| `genai-toolbox status` | Health check showing version, data directory path, total entry count, disk usage, and last activity timestamp. |

| `genai-toolbox help` | Show the built-in help message listing all available commands and usage information. |

| `genai-toolbox version` | Print the current version (v2.0.0). |

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

When to Use

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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