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
- 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---5
6# Agent Toolkit
7
8A 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.
9
10## Commands
11
12| 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 |
33
34Each data command (configure, benchmark, compare, etc.) works in two modes:
35- **Without arguments**: displays the 20 most recent entries from that category
36- **With arguments**: saves the input as a new timestamped entry and reports the total count
37
38## Data Storage
39
40All data is stored in plain text files under the data directory:
41
42- **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**: `$DATA_DIR/history.log` — audit trail of every command executed with timestamps
44- **Export files**: `$DATA_DIR/export.<fmt>` — generated by the `export` command in json, csv, or txt format
45
46Default data directory: `~/.local/share/agent-toolkit/`
47
48## Requirements
49
50- 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 required
53
54## When to Use
55
561. **Setting up agent workflows** — When you need to configure and log settings for agent tool integrations, API connections, or pipeline configurations
572. **Benchmarking and comparing tools** — When you're evaluating different AI tools or agent frameworks and want to log performance metrics for comparison
583. **Cost and usage optimization** — When you need to track API costs, token usage, and resource consumption across different tools to optimize spending
594. **Fine-tuning and testing** — When running fine-tuning experiments or test suites and you want to log parameters, results, and observations
605. **Cross-tool analysis and reporting** — When you need to search across all logged data, generate reports, or export results for stakeholder review
61
62## Examples
63
64```bash
65# Check toolkit status
66agent-toolkit status
67
68# Configure a new tool integration
69agent-toolkit configure "OpenAI API key rotated, new model endpoint: gpt-4o-2024-08"
70
71# Benchmark a tool
72agent-toolkit benchmark "LangChain ReAct agent: 94% task completion, 3.4s avg response time"
73
74# Compare two tools
75agent-toolkit compare "LangChain vs CrewAI: LangChain 20% faster setup, CrewAI better multi-agent coordination"
76
77# Log a prompt template
78agent-toolkit prompt "Tool-use system prompt v3: Added structured output format and error handling instructions"
79
80# Track costs
81agent-toolkit cost "Weekly API spend: OpenAI $12.30, Anthropic $8.50, total $20.80"
82
83# View recent benchmarks
84agent-toolkit benchmark
85
86# Search across all logs
87agent-toolkit search "LangChain"
88
89# Export all data as CSV
90agent-toolkit export csv
91
92# View summary statistics
93agent-toolkit stats
94
95# Show recent activity
96agent-toolkit recent
97```
98
99## Output
100
101All commands return output to stdout. Export files are written to the data directory:
102
103```bash
104agent-toolkit export json # → ~/.local/share/agent-toolkit/export.json
105agent-toolkit export csv # → ~/.local/share/agent-toolkit/export.csv
106agent-toolkit export txt # → ~/.local/share/agent-toolkit/export.txt
107```
108
109Every command execution is logged to `$DATA_DIR/history.log` for auditing purposes.
110
111---
112
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