COSMIC Command Line Interface
Complete reference for the cosmic CLI tool.
Commands Overview
| Command | Description |
|---|---|
cosmic chunk | Chunk a document using COSMIC pipeline |
cosmic ollama | Manage Ollama integration |
cosmic version | Display version information |
cosmic benchmark | Run benchmark suite |
cosmic chunk
Chunk a document using the COSMIC pipeline.
Synopsis
cosmic chunk FILE [OPTIONS]
Arguments
| Argument | Description |
|---|---|
FILE | Path to the input file to chunk |
Options
| Option | Short | Default | Description |
|---|---|---|---|
--strategy | -s | auto | Chunking strategy |
--output | -o | stdout | Output JSON file |
--config | -c | - | Configuration YAML file |
--no-llm | - | - | Disable LLM verification |
--no-reference | - | - | Disable reference linking |
--ollama | - | - | Use Ollama for LLM verification |
--verbose | -v | - | Enable verbose logging |
Strategy Values
| Strategy | Description |
|---|---|
auto | Automatically select based on document structure |
full | Full 6-stage COSMIC pipeline |
semantic | Semantic boundaries only (DCS-based) |
sliding | Sliding window with basic similarity |
fixed | Fixed-length token splitting |
Examples
Basic Usage
# Chunk with automatic strategy selection
cosmic chunk document.txt
# Chunk a markdown file
cosmic chunk README.md
# Chunk with verbose output
cosmic chunk document.txt -v
Strategy Selection
# Full 6-stage pipeline (highest quality)
cosmic chunk document.txt --strategy full
# Semantic-only (faster, good quality)
cosmic chunk document.txt --strategy semantic
# Sliding window (fast, basic quality)
cosmic chunk document.txt --strategy sliding
# Fixed-length (fastest, baseline quality)
cosmic chunk document.txt --strategy fixed
# Short form
cosmic chunk document.txt -s full
Output Options
# Save to JSON file
cosmic chunk document.txt --output chunks.json
cosmic chunk document.txt -o chunks.json
# Save with specific strategy
cosmic chunk document.txt -s full -o output/chunks.json
# Pretty-print to terminal (default)
cosmic chunk document.txt
Configuration
# Use custom configuration file
cosmic chunk document.txt --config configs/custom.yaml
cosmic chunk document.txt -c configs/custom.yaml
# Combine config with strategy override
cosmic chunk document.txt -c configs/custom.yaml -s semantic
Disabling Pipeline Stages
# Disable LLM verification (Stage 5)
cosmic chunk document.txt --strategy full --no-llm
# Disable reference linking (Stage 6)
cosmic chunk document.txt --strategy full --no-reference
# Disable both
cosmic chunk document.txt --strategy full --no-llm --no-reference
Ollama Integration
# Auto-detect and use best available model
cosmic chunk document.txt --strategy full --ollama
# Equivalent to above (explicit auto)
cosmic chunk document.txt --strategy full --ollama auto
# Use specific model
cosmic chunk document.txt --strategy full --ollama gemma3:latest
cosmic chunk document.txt --strategy full --ollama qwen2.5-coder:7b
# Combine with output
cosmic chunk document.txt -s full --ollama gemma3 -o chunks.json
Output Format
When no --output is specified, results are printed to stdout:
Document: README
Strategy: auto
Chunks: 75
--- Chunk 0 ---
Tokens: 45
Coherence: 1.000
Domain: technical
Mode: FULL_COSMIC
Preview: # COSMIC: COncept-aware Semantic Meta-chunking with Intelligent Classification...
--- Chunk 1 ---
Tokens: 20
Coherence: 1.000
Domain: technical
Mode: FULL_COSMIC
Preview: ## Research Objectives COSMIC addresses fundamental limitations...
When --output is specified, a JSON file is created:
{
"document_id": "README",
"source_file": "README.md",
"strategy": "auto",
"num_chunks": 75,
"chunks": [
{
"chunk_id": "abc123def456",
"document_id": "README",
"chunk_index": 0,
"text": "...",
"token_count": 45,
"location": { ... },
"domain": { ... },
"quality": { ... },
"references": { ... },
"intent": { ... },
"structure": { ... },
"provenance": { ... }
}
]
}
cosmic ollama
Manage Ollama integration for LLM verification.
Synopsis
cosmic ollama [ACTION]
Actions
| Action | Description |
|---|---|
status | Show Ollama installation and server status (default) |
list | List available Ollama models |
start | Start the Ollama server |
stop | Show how to stop the Ollama server |
Examples
Check Status
# Show Ollama status (default action)
cosmic ollama
cosmic ollama status
Output:
Ollama Status:
Installed: Yes
Running: Yes
Models available: 6
Recommended model: gemma3:latest
List Models
cosmic ollama list
Output:
Available Ollama models:
NAME SIZE
--------------------------------------------------
qwen3:30b-a3b 18.0 GB
qwen2.5-coder:7b 4.7 GB
deepseek-coder-v2:latest 8.9 GB
llama4:latest 67.0 GB
gemma3:latest 3.3 GB
Recommended for COSMIC: gemma3:latest
Start Server
cosmic ollama start
Output:
Ollama server started
Stop Server
cosmic ollama stop
Output:
Note: Use 'ollama stop' or 'pkill ollama' to stop the server
cosmic version
Display COSMIC version information.
Synopsis
cosmic version
Example
cosmic version
Output:
COSMIC v1.0.0
COncept-aware Semantic Meta-chunking with Intelligent Classification
cosmic benchmark
Run the COSMIC benchmark suite.
Synopsis
cosmic benchmark [OPTIONS]
Options
| Option | Short | Description |
|---|---|---|
--documents | -d | Directory containing documents to benchmark |
Examples
# Quick sanity check
cosmic benchmark
# Benchmark with custom documents
cosmic benchmark --documents ./test_documents/
cosmic benchmark -d ./test_documents/
Output:
Running COSMIC benchmark...
(Use benchmarks/run_validation.py for full benchmark)
Quick test: 1 chunks created
For comprehensive benchmarking, use the Python runner directly:
# Full benchmark suite
python -m benchmarks.runner
# Specific datasets
python -m benchmarks.runner --datasets arxiv pubmed
# Limited samples
python -m benchmarks.runner --limit 100
Global Options
These options apply to all commands:
| Option | Short | Description |
|---|---|---|
--verbose | -v | Enable verbose/debug logging |
--help | -h | Show help message |
Examples
# Show main help
cosmic --help
cosmic -h
# Show command-specific help
cosmic chunk --help
cosmic ollama --help
# Enable verbose logging
cosmic -v chunk document.txt
cosmic chunk document.txt -v
Environment Variables
The CLI respects these environment variables:
| Variable | Default | Description |
|---|---|---|
COSMIC_LLM_PROVIDER | openai | LLM provider: openai, ollama, auto |
COSMIC_LLM_URL | http://localhost:8000/v1 | LLM API endpoint |
COSMIC_LLM_MODEL | default | LLM model name |
COSMIC_LLM_API_KEY | - | API key for LLM |
OLLAMA_HOST | http://localhost:11434 | Ollama server URL |
COSMIC_OLLAMA_MODEL | auto | Ollama model to use |
COSMIC_EMBEDDING_DEVICE | cuda | Device for embeddings |
Examples
# Use CPU for embeddings
COSMIC_EMBEDDING_DEVICE=cpu cosmic chunk document.txt
# Use specific Ollama model by default
COSMIC_OLLAMA_MODEL=gemma3:latest cosmic chunk document.txt --ollama
# Configure LLM endpoint
COSMIC_LLM_URL=http://my-llm-server:8000/v1 cosmic chunk document.txt
Exit Codes
| Code | Description |
|---|---|
0 | Success |
1 | Error (file not found, invalid options, etc.) |
Common Workflows
Quick Document Chunking
# Simple chunking with sensible defaults
cosmic chunk my_document.txt
High-Quality Chunking with Local LLM
# Use full pipeline with Ollama verification
cosmic chunk document.txt --strategy full --ollama auto
Fast Processing
# Skip expensive stages for speed
cosmic chunk document.txt --strategy semantic --no-reference
Batch Processing via Shell
# Process multiple files
for f in documents/*.txt; do
cosmic chunk "$f" -o "output/$(basename "$f" .txt).json"
done
# Parallel processing with xargs
ls documents/*.txt | xargs -P4 -I{} cosmic chunk {} -o output/{}.json
CI/CD Integration
# Consistent, reproducible chunking
cosmic chunk document.txt \
--config configs/production.yaml \
--strategy full \
--no-llm \
--output chunks.json
Development/Testing
# Quick iteration with verbose output
cosmic -v chunk test.txt --strategy semantic
# Benchmark after changes
cosmic benchmark
Troubleshooting
File Not Found
Error: File not found: document.txt
Solution: Verify the file path exists and is readable.
Ollama Not Installed
Error: Ollama is not installed
Install from: https://ollama.com/download
Solution: Install Ollama from the official website.
No Ollama Models
Error: No Ollama models available
Pull a model with: ollama pull gemma3
Solution: Pull a model using ollama pull <model>.
LLM Connection Failed
[COSMIC_E003] Failed to connect to LLM endpoint
Solutions:
- Use
--no-llmto disable LLM verification - Use
--ollamafor local LLM - Configure a valid endpoint in
.env
Memory Issues
Solutions:
- Use
COSMIC_EMBEDDING_DEVICE=cpu - Use
--strategy semanticor--strategy fixed - Process smaller documents
See Also
- QUICKSTART.md - Full API documentation
- README.md - Project overview and architecture
- configs/default.yaml - Default configuration
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