Platform Features

Everything you need to build, monitor, and deploy intelligent AI workflows.

Centralized AI Infrastructure

One platform for all your AI logic. No more rebuilding the same infrastructure across projects.

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Single Source of Truth

All agents, workflows, tools, and models in one place. Version controlled and reusable.

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Pre-built Infrastructure

Job queues, retries, model routing, cost trackingβ€”everything built-in.

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Team Collaboration

Project-based organization. Share workflows, track usage, manage access.

Orchestration Features

Build multi-step AI workflows with structured, human-like commands.

πŸ“ Workflow Builder

Write workflows in a simple, readable DSL. No JSON configs or complex code.

  • β€’Human-like syntax
  • β€’Step-by-step execution
  • β€’Conditional logic
  • β€’Error handling built-in

πŸ› οΈ Tool Library

Pre-built tools ready to use in your workflows.

  • β€’PDF parsing & extraction
  • β€’Web search & scraping
  • β€’Data analysis
  • β€’API integrations
  • β€’Custom tool support

πŸ€– Model Management

Automatic routing to the best model for each task.

  • β€’Claude, GPT, Gemini support
  • β€’Automatic fallbacks
  • β€’Cost optimization
  • β€’Performance tracking

🧠 Memory Management

Context handling and windowing for long conversations.

  • β€’10k-200k token windows
  • β€’Automatic summarization
  • β€’Context retention
  • β€’Memory persistence

Example: Multi-Step Workflow

workflow :analyze_customer_feedback do
  # Step 1: Extract feedback from uploaded file
  step :extract do
    parse document using pdf_parser
    extract key_points from text
  end

  # Step 2: Analyze sentiment and categorize
  step :analyze do
    classify sentiment as positive, negative, neutral
    identify themes in feedback
    calculate urgency_score
  end

  # Step 3: Generate action items
  step :generate_actions do
    if urgency_score > 8
      notify team_lead
      create_ticket in support_system
    end

    summarize findings
    suggest next_steps
  end
end

Observability Features

Complete visibility into every agent execution. Debug, track costs, and improve performance.

πŸ‘οΈ Agent Console

Live view of every workflow execution

  • β€’Step-by-step execution trace
  • β€’Tool calls and results
  • β€’Model choices and reasoning
  • β€’Intermediate outputs
  • β€’Error details and stack traces

πŸ’° Cost Tracking

Monitor spending across projects

  • β€’Per-project cost breakdowns
  • β€’Per-workflow usage analytics
  • β€’Token consumption tracking
  • β€’Model comparison reports
  • β€’Budget alerts and limits

πŸ› Debug Tools

Find and fix issues quickly

  • β€’Replay failed executions
  • β€’Compare successful vs failed runs
  • β€’Inspect context and variables
  • β€’Test individual steps
  • β€’Export execution logs

πŸ“Š Analytics Dashboard

Understand usage patterns

  • β€’Success/failure rates
  • β€’Average execution times
  • β€’Most-used workflows
  • β€’Model performance metrics
  • β€’Team activity logs

What You See in the Agent Console

  • πŸ“ Step 1: Extract β†’ Completed in 1.2s (Claude Sonnet, 1,240 tokens, $0.002)
  • πŸ“ Step 2: Analyze β†’ Completed in 3.4s (Claude Sonnet, 4,820 tokens, $0.008)
  • πŸ“ Step 3: Generate Actions β†’ Completed in 2.1s (GPT-4, 2,100 tokens, $0.006)
  • βœ… Workflow completed in 6.7s | Total cost: $0.016

Deployment Options

Run workflows your wayβ€”API-enabled or fully hosted. Mix both approaches as needed.

πŸ”Œ API Mode

Integrate workflows into your application

  • β€’RESTful API endpoints
  • β€’Webhook callbacks
  • β€’Server-sent events (SSE) streaming
  • β€’Project-based API keys
  • β€’Rate limiting & quotas

☁️ Hosted Mode

Run workflows entirely in Steepworks

  • β€’Scheduled execution (cron-style)
  • β€’Manual triggers via dashboard
  • β€’Email/Slack notifications
  • β€’No code integration needed
  • β€’Results dashboard

πŸ”„ Hybrid Mode

Best of both worlds

  • β€’Some workflows via API
  • β€’Others scheduled in platform
  • β€’Shared tools and models
  • β€’Unified cost tracking
  • β€’Flexible architecture

API Integration Example

POST https://api.steepworks.com/v1/workflows/run
Authorization: Bearer your_project_api_key
Content-Type: application/json

{
  "workflow_id": "analyze_customer_feedback",
  "input": {
    "document": "base64_encoded_file",
    "urgency_threshold": 8
  },
  "stream": true
}

# Response (SSE stream):
data: {"step": "extract", "status": "running"}
data: {"step": "extract", "status": "complete", "tokens": 1240}
data: {"step": "analyze", "status": "running"}
...

Infrastructure You Don't Have to Build

Steepworks handles all the complex infrastructure so you can focus on building intelligence.

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Retry Logic

Automatic retries with exponential backoff

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Throttling

Rate limiting and backpressure management

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Concurrency

Parallel execution with resource limits

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Guardrails

Safety checks and content filtering

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Model Fallbacks

Automatic failover between providers

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State Management

Persistent workflow state and recovery

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Access Control

Project-based permissions and API keys

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Usage Tracking

Token counting and cost attribution

🚨

Error Handling

Graceful degradation and error recovery

What You Don't Have to Worry About

βœ“Job queues and worker pools
βœ“Model provider API management
βœ“Token counting and cost tracking
βœ“Retry logic and error handling
βœ“Rate limiting and throttling
βœ“Security and access control
βœ“Logging and observability
βœ“Scaling infrastructure

Stop building infrastructure.

Start building intelligence.

See pricing plans or get in touch to learn more.