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

Command	Description
INLINECODE0	Configure agent tools — log configuration entries or view recent ones
INLINECODE1

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 INLINECODE23
• 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: INLINECODE27

Requirements

• - Bash (with set -euo pipefail support)
• Standard Unix utilities: grep, cat, date, echo, wc, du, head, tail, INLINECODE37
• No external dependencies or API keys required

When to Use

1. 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

CODEBLOCK0

Output

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

CODEBLOCK1

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

---

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com