Command Line Interface

The Fibonacci CLI provides powerful commands for managing workflows, executing them locally or remotely, and streamlining development workflows.

Installation

The CLI is included with the Fibonacci SDK:

pip install fibonacci-sdk

Verify installation:

fibonacci --version

Quick Reference

Command	Description
`fibonacci init`	Initialize a new project
`fibonacci run`	Execute a workflow locally
`fibonacci list`	List deployed workflows
`fibonacci validate`	Validate workflow files
`fibonacci deploy`	Deploy to Fibonacci Cloud
`fibonacci logs`	View execution logs
`fibonacci tools`	Manage tool integrations

Commands

`fibonacci init`

Initialize a new Fibonacci project:

# Interactive setup
fibonacci init

# With project name
fibonacci init my-project

# From template
fibonacci init --template chatbot
fibonacci init --template data-pipeline
fibonacci init --template api-integration

This creates:

my-project/
├── fibonacci.yaml      # Project configuration
├── workflows/          # Workflow definitions
│   └── example.yaml
├── .env.example        # Environment template
└── README.md

`fibonacci run`

Execute workflows locally:

# Run a Python workflow
fibonacci run workflow.py

# Run a YAML workflow
fibonacci run workflows/analyzer.yaml

# With input data
fibonacci run workflow.py --input '{"text": "Hello world"}'

# From input file
fibonacci run workflow.py --input-file data.json

# With specific environment
fibonacci run workflow.py --env production

Options:

Option	Description
`--input, -i`	JSON input data
`--input-file, -f`	Path to JSON input file
`--env, -e`	Environment (dev/staging/production)
`--timeout, -t`	Execution timeout in seconds
`--verbose, -v`	Verbose output
`--dry-run`	Validate without executing

To trigger an already-deployed workflow via the platform (with queue, risk assessment, and approval gates applied), use the API: POST /api/v1/workflows/{id}/execute. The fibonacci run command runs workflows locally without these controls.

`fibonacci list`

List workflows deployed to Fibonacci Cloud:

# List all workflows
fibonacci list

# Show only active workflows
fibonacci list --active

# Output as JSON
fibonacci list --format json

Example output:

ID                    NAME                    ACTIVE
wf-abc123             customer-support         yes
wf-def456             data-pipeline            yes
wf-ghi789             legacy-analyzer          no

`fibonacci validate`

Validate workflow syntax and configuration:

# Validate a single file
fibonacci validate workflow.yaml

# Validate all workflows in directory
fibonacci validate workflows/

# Verbose validation with suggestions
fibonacci validate workflow.yaml --verbose

# Strict mode (treat warnings as errors)
fibonacci validate workflow.yaml --strict

Output example:

✓ workflow.yaml
  ✓ Schema validation passed
  ✓ Node dependencies valid
  ✓ Tool references valid
  ⚠ Warning: Node 'analyzer' has no description

Validated 1 file with 0 errors, 1 warning

`fibonacci deploy`

Deploy workflows to Fibonacci Cloud:

# Deploy all workflows
fibonacci deploy

# Deploy specific workflow
fibonacci deploy workflows/production.yaml

# Deploy to specific environment
fibonacci deploy --env staging

# Deploy with version tag
fibonacci deploy --version v1.2.0

# Preview changes without deploying
fibonacci deploy --dry-run

Options:

Option	Description
`--env, -e`	Target environment
`--version, -v`	Version tag
`--dry-run`	Preview without deploying
`--force`	Skip confirmation prompts
`--message, -m`	Deployment message

`fibonacci logs`

View execution logs:

# View recent logs
fibonacci logs

# Follow logs in real-time
fibonacci logs --follow

# Filter by workflow
fibonacci logs --workflow customer-support

# Filter by time range
fibonacci logs --since "1 hour ago"
fibonacci logs --since "2025-01-15T10:00:00"

# Filter by status
fibonacci logs --status failed

# View specific execution
fibonacci logs --execution-id abc123

Options:

Option	Description
`--follow, -f`	Stream logs in real-time
`--workflow, -w`	Filter by workflow name
`--since, -s`	Show logs since time
`--until, -u`	Show logs until time
`--status`	Filter by status (success/failed/running)
`--limit, -n`	Number of log entries
`--format`	Output format (text/json)

`fibonacci tools`

Manage tool integrations:

# List available tools
fibonacci tools list

# Search for tools
fibonacci tools search "google sheets"

# Get tool details
fibonacci tools info google_sheets.read_range

# Connect a tool
fibonacci tools connect google
fibonacci tools connect slack
fibonacci tools connect salesforce

# List connected tools
fibonacci tools connected

# Disconnect a tool
fibonacci tools disconnect google

`fibonacci auth`

Manage authentication:

# Login to Fibonacci Cloud
fibonacci auth login

# Login with API key
fibonacci auth login --api-key YOUR_KEY

# Check authentication status
fibonacci auth status

# Logout
fibonacci auth logout

# Switch organization
fibonacci auth org switch my-org

`fibonacci config`

Manage configuration:

# View current config
fibonacci config list

# Set a config value
fibonacci config set default_model claude-sonnet-4-6

# Get a config value
fibonacci config get default_model

# Reset to defaults
fibonacci config reset

# Edit config file
fibonacci config edit

Common configuration options:

Key	Description	Default
`default_model`	Default LLM model	`claude-sonnet-4-6`
`default_env`	Default environment	`development`
`log_level`	CLI log verbosity	`info`
`output_format`	Default output format	`text`

`fibonacci secret`

Manage secrets:

# Set a secret
fibonacci secret set API_KEY

# Set from value (not recommended for sensitive data)
fibonacci secret set API_KEY --value "sk-..."

# List secrets (names only)
fibonacci secret list

# Delete a secret
fibonacci secret delete API_KEY

# Sync secrets to environment
fibonacci secret sync --env production

Project Configuration

The fibonacci.yaml file configures your project:

# fibonacci.yaml
name: my-project
version: "1.0.0"

# Default settings
defaults:
  model: claude-sonnet-4-6
  timeout: 60
  retry:
    max_attempts: 3
    delay: 1.0

# Environments
environments:
  development:
    api_url: http://localhost:8000
    log_level: debug
    
  staging:
    api_url: https://staging-api.fibonacci.dev
    log_level: info
    
  production:
    api_url: https://api.fibonacci.dev
    log_level: warning

# Workflow locations
workflows:
  - workflows/*.yaml
  - src/**/*.py

# Tool configurations
tools:
  google:
    credentials_file: ./credentials/google.json
  slack:
    default_channel: "#notifications"

Environment Variables

The CLI respects these environment variables:

Variable	Description
`FIBONACCI_API_KEY`	API key for Fibonacci Cloud
`FIBONACCI_ENV`	Default environment
`FIBONACCI_CONFIG`	Path to config file
`FIBONACCI_LOG_LEVEL`	Log verbosity
`FIBONACCI_NO_COLOR`	Disable colored output

Shell Completion

Enable tab completion for your shell:

# Bash
fibonacci completion bash >> ~/.bashrc

# Zsh
fibonacci completion zsh >> ~/.zshrc

# Fish
fibonacci completion fish > ~/.config/fish/completions/fibonacci.fish

CI/CD Integration

GitHub Actions

# .github/workflows/deploy.yaml
name: Deploy Workflows

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Setup Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'
          
      - name: Install Fibonacci
        run: pip install fibonacci-sdk
        
      - name: Validate Workflows
        run: fibonacci validate workflows/ --strict
        
      - name: Deploy
        run: fibonacci deploy --env production
        env:
          FIBONACCI_API_KEY: ${{ secrets.FIBONACCI_API_KEY }}

GitLab CI

# .gitlab-ci.yml
stages:
  - validate
  - deploy

validate:
  stage: validate
  image: python:3.11
  script:
    - pip install fibonacci-sdk
    - fibonacci validate workflows/ --strict

deploy:
  stage: deploy
  image: python:3.11
  script:
    - pip install fibonacci-sdk
    - fibonacci deploy --env production
  only:
    - main
  environment:
    name: production

Troubleshooting

Common Issues

Command not found

Ensure Fibonacci is installed and in your PATH:

pip install fibonacci-sdk
echo $PATH
which fibonacci

Authentication errors

Re-authenticate with Fibonacci Cloud:

fibonacci auth logout
fibonacci auth login

Validation failures

Run with verbose mode for detailed errors:

fibonacci validate workflow.yaml --verbose

fibonacci list shows no output

This was a known bug in SDK versions before v0.2.4 where workflow objects were accessed as dicts. Upgrade to the latest version:

pip install --upgrade fibonacci-sdk

Debug Mode

Enable debug output:

FIBONACCI_LOG_LEVEL=debug fibonacci run workflow.py

Or in the command:

fibonacci --debug run workflow.py

Command Line Interface

Installation

Quick Reference

Commands

`fibonacci init`

`fibonacci run`

`fibonacci list`

`fibonacci validate`

`fibonacci deploy`

`fibonacci logs`

`fibonacci tools`

`fibonacci auth`

`fibonacci config`

`fibonacci secret`

Project Configuration

Environment Variables

Shell Completion

CI/CD Integration

GitHub Actions

GitLab CI

Troubleshooting

Common Issues

Debug Mode

Next Steps

YAML Workflows

Best Practices

​Installation

​Quick Reference

​Commands

​fibonacci init

​fibonacci run

​fibonacci list

​fibonacci validate

​fibonacci deploy

​fibonacci logs

​fibonacci tools

​fibonacci auth

​fibonacci config

​fibonacci secret

​Project Configuration

​Environment Variables

​Shell Completion

​CI/CD Integration

​GitHub Actions

​GitLab CI

​Troubleshooting

​Common Issues

​Debug Mode

​Next Steps

YAML Workflows

Best Practices

Installation

Quick Reference

Commands

`fibonacci init`

`fibonacci run`

`fibonacci list`

`fibonacci validate`

`fibonacci deploy`

`fibonacci logs`

`fibonacci tools`

`fibonacci auth`

`fibonacci config`

`fibonacci secret`

Project Configuration

Environment Variables

Shell Completion

CI/CD Integration

GitHub Actions

GitLab CI

Troubleshooting

Common Issues

Debug Mode

Next Steps