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Daita Status

Display project status and deployment information, similar to git status. Shows your local project components, cloud deployment history, and any issues that need attention.

Syntax​

daita status [OPTIONS]

Options​

OptionTypeDefaultDescription
--envstringNoneShow status for specific environment only
--verboseflagfalseShow detailed information (functions, etc.)

Requirements​

  • Must be run inside a Daita project directory (contains .daita/ folder)
  • DAITA_API_KEY environment variable for cloud deployment status (optional)

Examples​

Basic Usage​

# Show project status and deployments
daita status

# Show status for specific environment
daita status --env staging

# Show detailed status with function list
daita status --env staging --verbose

Status Output​

Basic Project Status​

$ daita status

📊 Project: my-ai-agents (v1.0.0)
📁 Location: /home/user/projects/my-ai-agents

🔧 Components:
   Agents (3):
     ✅ data_processor → 'Data Processing Agent'
     ✅ sentiment_analyzer → 'Sentiment Analysis'
     ✅ report_generator → 'Report Generator'

   Workflows (2):
     ✅ data_pipeline → 'Data Processing Pipeline'
     ✅ analysis_workflow → 'Analysis Workflow'

☁️  Cloud Deployments (5):
  ● staging: v1.0.5 (2024-12-01 14:30) (current)
  ○ staging: v1.0.4 (2024-11-30 16:20)
  ○ staging: v1.0.3 (2024-11-29 10:15)
  ○ staging: v1.0.2 (2024-11-28 12:00)
  ○ staging: v1.0.1 (2024-11-27 09:30)

✅ No issues found

📋 Quick commands:
   daita create agent my_agent    # Create new agent (free)
   daita test                     # Test all components (free)
   daita test --watch             # Development mode (free)
   daita push staging             # Deploy to cloud
   daita logs staging             # View cloud logs

Environment-Specific Status​

$ daita status --env staging

📊 Environment: staging
  ✅ Status: active
   Last deployed: 2024-12-01 14:30:45
   Version: 1.0.5

With Verbose Flag​

$ daita status --env staging --verbose

📊 Environment: staging
  ✅ Status: active
   Last deployed: 2024-12-01 14:30:45
   Version: 1.0.5
   Functions: 5
     • data_processor
     • sentiment_analyzer
     • report_generator
     • data_pipeline
     • analysis_workflow

Project With Issues​

$ daita status

📊 Project: my-ai-agents (v1.0.0)
📁 Location: /home/user/projects/my-ai-agents

🔧 Components:
   Agents (2):
     ✅ sentiment_analyzer → 'Sentiment Analysis'
     ❌ data_processor (file not found)

   Workflows (1):
     ✅ data_pipeline → 'Data Processing Pipeline'

☁️  Cloud Deployments: Upgrade required
   Get your API key at daita-tech.io
   Local deployment history:
    No local deployment history

⚠️  Issues:
    ❌ Missing agent file: data_processor.py
    ❌ Missing requirements.txt
    ❌ No LLM API key found (set OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.)

📋 Quick commands:
   daita create agent my_agent    # Create new agent (free)
   daita test                     # Test all components (free)
   daita test --watch             # Development mode (free)

    Ready for cloud deployment?
   Get your API key at daita-tech.io

What Gets Shown​

The status command displays:

  1. Project Information: Name, version, and location
  2. Components: Lists agents and workflows from daita-project.yaml (or filesystem if not in config)
  3. Cloud Deployments: Recent deployment history from the Daita API (requires DAITA_API_KEY)
  4. Issues: Missing files, missing API keys, configuration problems
  5. Quick Commands: Helpful commands based on your setup

Status Indicators​

Component Status​

  • ✅ - Component file exists
  • ❌ - Component file missing

Deployment Status​

  • ● (filled) - Active deployment
  • ○ (empty) - Previous deployment

Common Issues Detected​

The status command checks for:

  • Missing component files: Agents or workflows defined in config but file doesn't exist
  • Missing configuration files: daita-project.yaml or requirements.txt
  • Missing API keys: No LLM provider API key set (OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY)

Cloud vs Local Mode​

With DAITA_API_KEY Set​

Shows cloud deployment history from the Daita platform API.

Without DAITA_API_KEY​

Shows message encouraging cloud deployment and displays local deployment history from .daita/deployments.json (if any).