Introduction - Phantom Developer Documentation

This document introduces the Phantom platform and outlines key concepts, quickstarts, architecture, and official resources for developers. It includes examples, recommended practices, and ten official resource links styled for clarity.

What is Phantom?

Phantom is a hypothetical developer platform designed to accelerate the creation, testing, and deployment of modern applications that interact with distributed services. At its core Phantom provides a set of modular SDKs, a predictable API surface, tooling for local dev and CI/CD, and a secure runtime environment. This introduction is intended for engineers who will build integrations, SDKs, or platform-aware applications — whether you are writing a microservice, a CLI tool, or a UI plugin.

Core Concepts

Understanding the core concepts of Phantom helps you design integrations that are resilient and maintainable. Below are the primary building blocks:

1. SDKs and Clients

Phantom provides first-class SDKs in multiple languages. Each SDK is a thin wrapper over the platform's HTTP/GRPC API and focuses on developer ergonomics: typed responses, helpers for retries, and built-in telemetry. Use SDKs for quick prototyping; use direct HTTP calls when you need fine-grained control.

2. Authentication and Secrets

All Phantom APIs require authenticated requests. Authentication is token-based and supports short-lived tokens for CI credentials and long-lived tokens for service-to-service integration. Secrets are never stored in plain text — use the Phantom Secrets API or your environment manager to inject credentials at runtime.

3. Events and Webhooks

Phantom emits events to signal state changes (builds, deployments, incoming messages). Webhooks are the preferred integration method for asynchronous reactions. Implement idempotency in your webhook handlers to avoid duplicate effects.

Getting started

This quickstart assumes you have a Phantom account and a project created via the dashboard. Follow these steps to run a simple example using the Phantom CLI.

Install the CLI

npm install -g @phantom/cli
phantom login
phantom init my-sample-app
cd my-sample-app
phantom start

Create your first integration

Scaffold a basic integration that receives events and posts responses. Keep the handler logic small and test locally using the CLI's replay tools.

Architecture

Phantom's architecture is modular and layered. At a high level: clients & SDKs → API gateway → service mesh → core services (auth, events, storage) → durable backends. This separation ensures that teams can evolve independently and that the platform scales horizontally.

Design patterns

When integrating with Phantom, prefer event-driven patterns for long-running flows and request-response for immediate queries. Use exponential backoff for retryable errors and circuit breakers for third-party systems to prevent cascading failures.

API overview

The API surface includes endpoints for authentication, resources (projects, deployments), telemetry, and secrets. Responses are JSON and follow a consistent envelope format that includes metadata, pagination hints, and standardized error objects.

Example: Create a deployment

POST /v1/projects/{projectId}/deployments
Authorization: Bearer <TOKEN>
Content-Type: application/json

{
  "name": "my-deploy",
  "image": "ghcr.io/myorg/myapp:latest",
  "env": {"NODE_ENV":"production"}
}
Response
{
  "id":"deploy_01F...",
  "status":"queued",
  "created_at":"2025-10-10T12:00:00Z"
}

Best practices

Security, observability, and simplicity are the three pillars of successful Phantom integrations:

Note: This document is an opinionated introduction. Consult the official API reference for details about rate limits, quotas, and service-level guarantees.

Official resources (10 colorful links)

Below are ten official resources you can bookmark. Each link uses a colorful button style so you can quickly scan by purpose.

Conclusion

Phantom aims to simplify building production-ready integrations by providing cohesive tooling and thoughtful APIs. As you adopt Phantom, focus on small iterations, automated tests, and observable operations. With these foundations, you can deliver reliable features faster and reduce operational overhead.