> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rotastellar.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Planning Tools Overview

> Answer 'should we?' before 'how?'

# Planning Tools

<Info>
  **Status:** Early Access — [Request API key](https://rotastellar.com/developers)
</Info>

Planning Tools help you evaluate the feasibility of orbital compute deployments before committing resources. Answer critical questions about thermal management, latency, power, and cost.

## Capabilities

<CardGroup cols={2}>
  <Card title="Feasibility Analysis" icon="calculator" href="/planning/feasibility">
    Evaluate whether your workload is suitable for orbital compute
  </Card>

  <Card title="Thermal Simulation" icon="temperature-high" href="/planning/thermal">
    Model heat rejection and thermal cycles in orbit
  </Card>

  <Card title="Latency Simulation" icon="clock" href="/planning/latency">
    Predict network latency based on orbital geometry
  </Card>

  <Card title="Power Budgeting" icon="bolt" href="/planning/power">
    Plan power generation and consumption across orbit
  </Card>
</CardGroup>

## Quick Start

<CodeGroup>
  ```python Python theme={null}
  from rotastellar import RotaStellarClient

  client = RotaStellarClient(api_key="rs_...")

  # Comprehensive feasibility analysis
  result = client.planning.analyze(
      workload="ai_inference",
      compute_tflops=100,
      storage_tb=10,
      bandwidth_gbps=1
  )

  print(f"Recommendation: {result.recommendation}")
  print(f"Optimal orbit: {result.orbit}")
  print(f"Monthly cost: ${result.cost_monthly}")
  print(f"Power required: {result.power_kw} kW")
  ```

  ```typescript Node.js theme={null}
  import { RotaStellarClient } from '@rotastellar/sdk';

  const client = new RotaStellarClient({ apiKey: 'rs_...' });

  const result = await client.planning.analyze({
    workload: 'ai_inference',
    computeTflops: 100,
    storageTb: 10,
    bandwidthGbps: 1
  });

  console.log(`Recommendation: ${result.recommendation}`);
  console.log(`Optimal orbit: ${result.orbit}`);
  console.log(`Monthly cost: $${result.costMonthly}`);
  ```

  ```bash cURL theme={null}
  curl https://api.rotastellar.com/v1/planning/analyze \
    -H "Authorization: Bearer rs_your_api_key" \
    -H "Content-Type: application/json" \
    -d '{
      "workload": "ai_inference",
      "compute_tflops": 100,
      "storage_tb": 10,
      "bandwidth_gbps": 1
    }'
  ```
</CodeGroup>

## Workflow

A typical planning workflow:

```mermaid theme={null}
flowchart LR
    A[Define Requirements] --> B[Feasibility Analysis]
    B --> C{Viable?}
    C -->|Yes| D[Thermal Simulation]
    C -->|No| E[Adjust Requirements]
    E --> B
    D --> F[Latency Modeling]
    F --> G[Power Budgeting]
    G --> H[Deployment Plan]
```

## Orbit Options

| Orbit Type | Altitude        | Period     | Use Cases                        |
| ---------- | --------------- | ---------- | -------------------------------- |
| LEO        | 300-600 km      | 90-100 min | Low latency, Earth observation   |
| MEO        | 2,000-35,000 km | 2-24 hr    | Navigation, regional coverage    |
| GEO        | 35,786 km       | 24 hr      | Fixed coverage, broadcasting     |
| HEO        | Variable        | Variable   | Polar coverage, specific regions |

## Next Steps

<CardGroup cols={2}>
  <Card title="Feasibility Analysis" icon="calculator" href="/planning/feasibility">
    Start with a comprehensive feasibility check
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/planning/analyze-feasibility">
    View the full API specification
  </Card>
</CardGroup>