pragmatiks-sdk 0.6.0

Python SDK for the Pragmatiks platform

Pragmatiks SDK

Documentation | CLI | Providers

Build providers and interact with the Pragmatiks platform programmatically.

Quick Start

from pragma_sdk import PragmaClient, Resource

with PragmaClient() as client:
    # Apply a resource
    client.apply_resource(
        Resource(
            provider="gcp",
            resource="storage",
            name="my-bucket",
            config={"location": "US", "storage_class": "STANDARD"}
        )
    )

    # Get resource status
    bucket = client.get_resource("gcp", "storage", "my-bucket")
    print(bucket.outputs)

Installation

pip install pragmatiks-sdk

Or with uv:

uv add pragmatiks-sdk

Features

• HTTP Clients - Sync and async clients for the Pragma API
• Provider Authoring - Build custom providers with type-safe Config and Outputs
• Field References - Reference outputs from other resources dynamically
• Testing Harness - Test provider lifecycle methods locally without deployment
• Auto-discovery - Automatic credential resolution from environment or config files

Building Providers

Define resources with typed configuration and lifecycle methods:

from pragma_sdk import Provider, Resource, Config, Outputs, Field

gcp = Provider(name="gcp")

class BucketConfig(Config):
    location: Field[str]
    storage_class: Field[str] = "STANDARD"

class BucketOutputs(Outputs):
    url: str
    created_at: str

@gcp.resource("storage")
class Bucket(Resource[BucketConfig, BucketOutputs]):
    async def on_create(self) -> BucketOutputs:
        # Provision the bucket
        return BucketOutputs(url=f"gs://{self.name}", created_at="...")

    async def on_update(self, previous_config: BucketConfig) -> BucketOutputs:
        # Handle config changes
        return self.outputs

    async def on_delete(self) -> None:
        # Clean up
        pass

Field References

Reference outputs from other resources:

from pragma_sdk import FieldReference

config = AppConfig(
    database_url=FieldReference(
        provider="postgres",
        resource="database",
        name="my-db",
        field="outputs.connection_url"
    )
)

Testing Providers

Test lifecycle methods locally with ProviderHarness:

from pragma_sdk.provider import ProviderHarness

async def test_bucket_creation():
    harness = ProviderHarness()

    result = await harness.invoke_create(
        Bucket,
        name="test-bucket",
        config=BucketConfig(location="US")
    )

    assert result.success
    assert "gs://test-bucket" in result.outputs.url

Authentication

Credentials are discovered automatically:

1. Explicit auth_token parameter
2. Environment variable: PRAGMA_AUTH_TOKEN
3. Credentials file: ~/.config/pragma/credentials

# Auto-discover credentials
client = PragmaClient()

# Explicit token
client = PragmaClient(auth_token="sk_...")

# Require authentication (fail if no token)
client = PragmaClient(require_auth=True)

API Reference

HTTP Client Methods

Method	Description
list_resources(provider, resource, tags)	List resources with optional filters
get_resource(provider, resource, name)	Get a specific resource
apply_resource(resource)	Create or update a resource
delete_resource(provider, resource, name)	Delete a resource
is_healthy()	Check API health

Provider Classes

Class	Description
Provider(name)	Provider namespace with @provider.resource() decorator
Resource[ConfigT, OutputsT]	Base class with on_create, on_update, on_delete
Config	Base class for resource configuration (Pydantic model)
Outputs	Base class for resource outputs (Pydantic model)
Field[T]	Type alias for `T
ProviderHarness	Local testing harness

Development

# Run tests
task sdk:test

# Format code
task sdk:format

# Type check and lint
task sdk:check

License

MIT