Agent Toolkit

A comprehensive 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

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/\x3Ccommand>.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.\x3Cfmt> — 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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