Genai Toolkit v2.0.0 — an AI toolkit for managing generative AI 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.
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-toolkit configure | Log a configuration note such as model parameters, API keys, or environment settings. Use this to record setup changes and track which configurations were active during experiments. |
genai-toolkit benchmark | Log a benchmark result or performance observation. Record latency, throughput, accuracy, or other metrics to compare across runs and model versions. |
genai-toolkit compare | Log a comparison note between models, configurations, or approaches. Useful for side-by-side evaluations like GPT-4 vs Claude on specific tasks. |
genai-toolkit prompt | Log a prompt template or prompt engineering note. Track iterations on prompt design, record what worked, and document prompt versioning. |
genai-toolkit evaluate | Log an evaluation result or quality metric. Record accuracy scores, F1 metrics, human ratings, or any qualitative assessment of model outputs. |
genai-toolkit fine-tune | Log a fine-tuning run or hyperparameter note. Track epochs, learning rates, dataset sizes, and resulting model performance after fine-tuning. |
genai-toolkit analyze | Log an analysis observation or insight. Record patterns found in data, failure mode analysis, or trends across experiments. |
genai-toolkit cost | Log cost tracking data including API costs, compute expenses, and token consumption. Essential for budget monitoring across projects and providers. |
genai-toolkit usage | Log usage metrics or consumption data. Track request volumes, token counts, rate limit encounters, and daily/monthly consumption patterns. |
genai-toolkit optimize | Log optimization attempts or performance improvements. Record what was changed, the expected vs actual impact, and next steps. |
genai-toolkit test | Log test results or test case notes. Record pass/fail outcomes, edge cases discovered, and regression test results. |
genai-toolkit report | Log a report entry or summary finding. Capture weekly summaries, milestone reports, or executive-level findings from AI workflows. |
| Command | Description |
|---|---|
| --------- | ------------- |
genai-toolkit stats | Show summary statistics across all log files, including entry counts per category and total data size on disk. |
genai-toolkit export | Export all data to a file in the specified format. Supported formats: json, csv, txt. Output is saved to the data directory. |
genai-toolkit search | Search all log entries for a term using case-insensitive matching. Results are grouped by log category for easy scanning. |
genai-toolkit recent | Show the 20 most recent entries from the unified activity log, giving a quick overview of recent work across all commands. |
genai-toolkit status | Health check showing version, data directory path, total entry count, disk usage, and last activity timestamp. |
genai-toolkit help | Show the built-in help message listing all available commands and usage information. |
genai-toolkit version | Print the current version (v2.0.0). |
All data is stored locally at ~/.local/share/genai-toolkit/. 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.
# Log a benchmark result
genai-toolkit benchmark "GPT-4o latency: avg 1.2s, p99 3.8s on summarization task, 500 samples"
# Track a cost entry
genai-toolkit cost "March batch processing: $42.50 across 15k requests, avg $0.0028/req"
# Compare two models
genai-toolkit compare "Claude 3.5 vs GPT-4o on code generation — Claude 15% faster, GPT-4o 5% more accurate"
# Log a prompt iteration
genai-toolkit prompt "v3: Added chain-of-thought instruction, reduced hallucination rate from 12% to 3%"
# Record a fine-tuning run
genai-toolkit fine-tune "SQL-gen model epoch 5: accuracy=0.96, loss=0.12, lr=2e-5, dataset=50k rows"
# View all statistics
genai-toolkit stats
# Export everything to JSON
genai-toolkit export json
# Search for entries mentioning latency
genai-toolkit search latency
# Check recent activity
genai-toolkit recent
# Health check
genai-toolkit status
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