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 |
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
- Setting up agent workflows — When you need to configure and log settings for agent tool integrations, API connections, or pipeline configurations
- Benchmarking and comparing tools — When you're evaluating different AI tools or agent frameworks and want to log performance metrics for comparison
- Cost and usage optimization — When you need to track API costs, token usage, and resource consumption across different tools to optimize spending
- Fine-tuning and testing — When running fine-tuning experiments or test suites and you want to log parameters, results, and observations
- 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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1---2name: agent-toolkit3description: Configure and benchmark agent tools and integration patterns. Use when setting up agent workflows, comparing tools, or evaluating agents.4---56# Agent Toolkit78A 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.910## Commands1112| Command | Description |13|---------|-------------|14| `configure` | Configure agent tools — log configuration entries or view recent ones |15| `benchmark` | Benchmark tool performance — log benchmark results or view history |16| `compare` | Compare tool outputs — log comparison data or view recent comparisons |17| `prompt` | Prompt management — log prompt variations or view recent prompts |18| `evaluate` | Evaluate tool results — log evaluation data or view history |19| `fine-tune` | Fine-tune parameters — log fine-tuning sessions or view recent ones |20| `analyze` | Analyze tool behavior — log analysis entries or view recent analyses |21| `cost` | Cost tracking — log cost data or view recent cost entries |22| `usage` | Usage monitoring — log usage metrics or view recent usage data |23| `optimize` | Optimize configurations — log optimization runs or view history |24| `test` | Test tool behavior — log test results or view recent tests |25| `report` | Report generation — log report entries or view recent reports |26| `stats` | Show summary statistics across all log categories (entry counts, data size, first entry date) |27| `export <fmt>` | Export all data in json, csv, or txt format to the data directory |28| `search <term>` | Full-text search across all log files (case-insensitive) |29| `recent` | Show the 20 most recent entries from the activity history log |30| `status` | Health check — show version, data directory, total entries, disk usage, and last activity |31| `help` | Show the full help message with all available commands |32| `version` | Print the current version string |3334Each data command (configure, benchmark, compare, etc.) works in two modes:35- **Without arguments**: displays the 20 most recent entries from that category36- **With arguments**: saves the input as a new timestamped entry and reports the total count3738## Data Storage3940All data is stored in plain text files under the data directory:4142- **Category logs**: `$DATA_DIR/<command>.log` — one file per command (e.g., `configure.log`, `benchmark.log`, `prompt.log`), each entry is `timestamp|value`43- **History log**: `$DATA_DIR/history.log` — audit trail of every command executed with timestamps44- **Export files**: `$DATA_DIR/export.<fmt>` — generated by the `export` command in json, csv, or txt format4546Default data directory: `~/.local/share/agent-toolkit/`4748## Requirements4950- Bash (with `set -euo pipefail` support)51- Standard Unix utilities: `grep`, `cat`, `date`, `echo`, `wc`, `du`, `head`, `tail`, `basename`52- No external dependencies or API keys required5354## When to Use55561. **Setting up agent workflows** — When you need to configure and log settings for agent tool integrations, API connections, or pipeline configurations572. **Benchmarking and comparing tools** — When you're evaluating different AI tools or agent frameworks and want to log performance metrics for comparison583. **Cost and usage optimization** — When you need to track API costs, token usage, and resource consumption across different tools to optimize spending594. **Fine-tuning and testing** — When running fine-tuning experiments or test suites and you want to log parameters, results, and observations605. **Cross-tool analysis and reporting** — When you need to search across all logged data, generate reports, or export results for stakeholder review6162## Examples6364```bash65# Check toolkit status66agent-toolkit status6768# Configure a new tool integration69agent-toolkit configure "OpenAI API key rotated, new model endpoint: gpt-4o-2024-08"7071# Benchmark a tool72agent-toolkit benchmark "LangChain ReAct agent: 94% task completion, 3.4s avg response time"7374# Compare two tools75agent-toolkit compare "LangChain vs CrewAI: LangChain 20% faster setup, CrewAI better multi-agent coordination"7677# Log a prompt template78agent-toolkit prompt "Tool-use system prompt v3: Added structured output format and error handling instructions"7980# Track costs81agent-toolkit cost "Weekly API spend: OpenAI $12.30, Anthropic $8.50, total $20.80"8283# View recent benchmarks84agent-toolkit benchmark8586# Search across all logs87agent-toolkit search "LangChain"8889# Export all data as CSV90agent-toolkit export csv9192# View summary statistics93agent-toolkit stats9495# Show recent activity96agent-toolkit recent97```9899## Output100101All commands return output to stdout. Export files are written to the data directory:102103```bash104agent-toolkit export json # → ~/.local/share/agent-toolkit/export.json105agent-toolkit export csv # → ~/.local/share/agent-toolkit/export.csv106agent-toolkit export txt # → ~/.local/share/agent-toolkit/export.txt107```108109Every command execution is logged to `$DATA_DIR/history.log` for auditing purposes.110111---112113Powered by BytesAgain | bytesagain.com | hello@bytesagain.com
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