Local Deep Research includes command-line tools for benchmarking and rate limit management.
Scanned 6/1/2026
Install via CLI
openskills install tools-only/X-Skills# CLI Tools Reference
Local Deep Research includes command-line tools for benchmarking and rate limit management.
## Table of Contents
- [Benchmarking CLI](#benchmarking-cli)
- [Rate Limiting CLI](#rate-limiting-cli)
---
## Benchmarking CLI
Run benchmarks to evaluate search quality and compare configurations.
### Basic Usage
```bash
python -m local_deep_research.benchmarks.cli <command> [options]
```
### Commands
#### `simpleqa` - Run SimpleQA Benchmark
Tests factual question answering accuracy.
```bash
python -m local_deep_research.benchmarks.cli simpleqa [options]
```
**Options:**
| Option | Default | Description |
|--------|---------|-------------|
| `--examples` | 100 | Number of questions to test |
| `--iterations` | 3 | Search iterations per question |
| `--questions` | 3 | Questions per iteration |
| `--search-tool` | searxng | Search engine to use |
| `--search-strategy` | source_based | Strategy (source_based, standard, rapid, parallel, iterdrag) |
| `--search-model` | (default) | LLM model for research |
| `--search-provider` | (default) | LLM provider |
| `--eval-model` | (default) | Model for answer evaluation |
| `--eval-provider` | (default) | Provider for evaluation |
| `--output-dir` | ~/.local-deep-research/benchmark_results | Results directory |
| `--human-eval` | false | Use human evaluation |
| `--no-eval` | false | Skip evaluation phase |
| `--custom-dataset` | - | Path to custom dataset |
**Example:**
```bash
# Run 50 examples with Ollama
python -m local_deep_research.benchmarks.cli simpleqa \
--examples 50 \
--search-provider ollama \
--search-model llama3.2
```
#### `browsecomp` - Run BrowseComp Benchmark
Tests complex reasoning and multi-step research.
```bash
python -m local_deep_research.benchmarks.cli browsecomp [options]
```
Same options as `simpleqa`.
**Example:**
```bash
# Run BrowseComp with focused-iteration strategy
python -m local_deep_research.benchmarks.cli browsecomp \
--examples 20 \
--search-strategy iterdrag \
--iterations 5
```
#### `compare` - Compare Configurations
Compare multiple search configurations on the same dataset.
```bash
python -m local_deep_research.benchmarks.cli compare [options]
```
**Options:**
| Option | Default | Description |
|--------|---------|-------------|
| `--dataset` | simpleqa | Dataset to use (simpleqa, browsecomp) |
| `--examples` | 20 | Examples per configuration |
| `--output-dir` | ~/.local-deep-research/benchmark_results/comparison | Results directory |
**Example:**
```bash
# Compare configurations
python -m local_deep_research.benchmarks.cli compare \
--dataset simpleqa \
--examples 30
```
#### `list` - List Available Benchmarks
```bash
python -m local_deep_research.benchmarks.cli list
```
Shows available benchmark datasets and their descriptions.
---
## Rate Limiting CLI
Monitor and manage the adaptive rate limiting system.
### Basic Usage
```bash
python -m local_deep_research.web_search_engines.rate_limiting.cli <command> [options]
```
### Commands
#### `status` - Show Rate Limit Statistics
View current rate limit data for search engines.
```bash
# All engines
python -m local_deep_research.web_search_engines.rate_limiting.cli status
# Specific engine
python -m local_deep_research.web_search_engines.rate_limiting.cli status --engine DuckDuckGoSearchEngine
```
**Output columns:**
| Column | Description |
|--------|-------------|
| Engine | Search engine name |
| Base Wait | Current wait time in seconds |
| Range | Min-max wait times |
| Success | Success rate percentage |
| Attempts | Total request attempts |
| Updated | Last update timestamp |
**Example output:**
```
Rate Limit Statistics:
--------------------------------------------------------------------------------
Engine Base Wait Range Success Attempts Updated
--------------------------------------------------------------------------------
DuckDuckGoSearchEngine 2.50 1.0s - 5.0s 95.2% 150 12-26 14:30
ArXivSearchEngine 0.50 0.5s - 1.0s 99.8% 85 12-26 12:15
```
#### `reset` - Reset Engine Rate Limits
Clear learned rate limit data for an engine.
```bash
python -m local_deep_research.web_search_engines.rate_limiting.cli reset --engine <engine_name>
```
**Example:**
```bash
# Reset DuckDuckGo rate limits
python -m local_deep_research.web_search_engines.rate_limiting.cli reset --engine DuckDuckGoSearchEngine
```
Use this when:
- Rate limits are too conservative
- After API changes
- When switching environments
#### `export` - Export Rate Limit Data
Export rate limit statistics in various formats.
```bash
# Table format (default)
python -m local_deep_research.web_search_engines.rate_limiting.cli export
# CSV format
python -m local_deep_research.web_search_engines.rate_limiting.cli export --format csv
# JSON format
python -m local_deep_research.web_search_engines.rate_limiting.cli export --format json
```
**Formats:**
| Format | Use Case |
|--------|----------|
| `table` | Human-readable display |
| `csv` | Spreadsheet import |
| `json` | Programmatic processing |
**Example CSV output:**
```csv
engine_type,base_wait_seconds,min_wait_seconds,max_wait_seconds,last_updated,total_attempts,success_rate
DuckDuckGoSearchEngine,2.5,1.0,5.0,1703612400,150,0.952
```
#### `cleanup` - Remove Old Data
Clean up rate limit data older than a specified number of days.
```bash
python -m local_deep_research.web_search_engines.rate_limiting.cli cleanup --days <days>
```
**Example:**
```bash
# Remove data older than 30 days
python -m local_deep_research.web_search_engines.rate_limiting.cli cleanup --days 30
# Remove data older than 7 days
python -m local_deep_research.web_search_engines.rate_limiting.cli cleanup --days 7
```
---
## Common Engine Names
When using the rate limiting CLI, use these engine class names:
| Engine | Class Name |
|--------|------------|
| DuckDuckGo | `DuckDuckGoSearchEngine` |
| SearXNG | `SearXNGSearchEngine` |
| Brave | `BraveSearchEngine` |
| arXiv | `ArXivSearchEngine` |
| PubMed | `PubMedSearchEngine` |
| Semantic Scholar | `SemanticScholarSearchEngine` |
| Wikipedia | `WikipediaSearchEngine` |
| GitHub | `GitHubSearchEngine` |
---
## Troubleshooting
### Benchmark Not Starting
- Verify LLM provider is configured
- Check search engine is available
- Ensure sufficient disk space for results
### Rate Limit Data Missing
- Run some searches first to generate data
- Check database file exists
- Try `status` without `--engine` flag
### Export Permission Error
- Check write permissions on output directory
- Use a different output directory
---
## See Also
- [Architecture Overview](architecture/OVERVIEW.md) - System architecture
- [Troubleshooting](troubleshooting.md) - Common issues
- [BENCHMARKING.md](BENCHMARKING.md) - Detailed benchmark documentation
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