agent-toolkit

version	2.0.1
name	agent-toolkit
description	Configure and benchmark agent tools and integration patterns. Use when setting up agent workflows, comparing tools, or evaluating agents.
author	BytesAgain
homepage	https://bytesagain.com
source	https://github.com/bytesagain/ai-skills

Agent Toolkit

A thorough AI toolkit for configuring, benchmarking, comparing, and optimizing agent tools and integration patterns. Agent Toolkit provides persistent, file-based logging for each command category with timestamped entries, summary statistics, multi-format export, and full-text search across all records.

Commands

Command	Description
configure	Configure agent tools — log configuration entries or view recent ones
benchmark	Benchmark tool performance — log benchmark results or view history
compare	Compare tool outputs — log comparison data or view recent comparisons
prompt	Prompt management — log prompt variations or view recent prompts
evaluate	Evaluate tool results — log evaluation data or view history
fine-tune	Fine-tune parameters — log fine-tuning sessions or view recent ones
analyze	Analyze tool behavior — log analysis entries or view recent analyses
cost	Cost tracking — log cost data or view recent cost entries
usage	Usage monitoring — log usage metrics or view recent usage data
optimize	Optimize configurations — log optimization runs or view history
test	Test tool behavior — log test results or view recent tests
report	Report generation — log report entries or view recent reports
stats	Show summary statistics across all log categories (entry counts, data size, first entry date)
export <fmt>	Export all data in json, csv, or txt format to the data directory
search <term>	Full-text search across all log files (case-insensitive)
recent	Show the 20 most recent entries from the activity history log
status	Health check — show version, data directory, total entries, disk usage, and last activity
help	Show the full help message with all available commands
version	Print the current version string

Each data command (configure, benchmark, compare, etc.) works in two modes:

• Without arguments: displays the 20 most recent entries from that category
• With arguments: saves the input as a new timestamped entry and reports the total count

Data Storage

All data is stored in plain text files under the data directory:

• Category logs: $DATA_DIR/<command>.log — one file per command (e.g., configure.log, benchmark.log, prompt.log), each entry is timestamp|value
• History log: $DATA_DIR/history.log — audit trail of every command executed with timestamps
• Export files: $DATA_DIR/export.<fmt> — generated by the export command in json, csv, or txt format

Default data directory: ~/.local/share/agent-toolkit/

Requirements

• Bash (with set -euo pipefail support)
• Standard Unix utilities: grep, cat, date, echo, wc, du, head, tail, basename
• No external dependencies or API keys required

When to Use

1. Setting up agent workflows — When you need to configure and log settings for agent tool integrations, API connections, or pipeline configurations
2. Benchmarking and comparing tools — When you're evaluating different AI tools or agent frameworks and want to log performance metrics for comparison
3. Cost and usage optimization — When you need to track API costs, token usage, and resource consumption across different tools to optimize spending
4. Fine-tuning and testing — When running fine-tuning experiments or test suites and you want to log parameters, results, and observations
5. Cross-tool analysis and reporting — When you need to search across all logged data, generate reports, or export results for stakeholder review

Examples

# Check toolkit status
agent-toolkit status

# Configure a new tool integration
agent-toolkit configure "OpenAI API key rotated, new model endpoint: gpt-4o-2024-08"

# Benchmark a tool
agent-toolkit benchmark "LangChain ReAct agent: 94% task completion, 3.4s avg response time"

# Compare two tools
agent-toolkit compare "LangChain vs CrewAI: LangChain 20% faster setup, CrewAI better multi-agent coordination"

# Log a prompt template
agent-toolkit prompt "Tool-use system prompt v3: Added structured output format and error handling instructions"

# Track costs
agent-toolkit cost "Weekly API spend: OpenAI $12.30, Anthropic $8.50, total $20.80"

# View recent benchmarks
agent-toolkit benchmark

# Search across all logs
agent-toolkit search "LangChain"

# Export all data as CSV
agent-toolkit export csv

# View summary statistics
agent-toolkit stats

# Show recent activity
agent-toolkit recent

Output

All commands return output to stdout. Export files are written to the data directory:

agent-toolkit export json   # → ~/.local/share/agent-toolkit/export.json
agent-toolkit export csv    # → ~/.local/share/agent-toolkit/export.csv
agent-toolkit export txt    # → ~/.local/share/agent-toolkit/export.txt

Every command execution is logged to $DATA_DIR/history.log for auditing purposes.

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