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Python SDK for the Pragmatiks platform

Project description

Pragmatiks

Pragma SDK

Ask DeepWiki PyPI version Python 3.13+ License: MIT Code style: ruff

Documentation | CLI | Providers

Build providers and interact with Pragmatiks programmatically.

Quick Start

Synchronous Client

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)

Asynchronous Client

import asyncio
from pragma_sdk import AsyncPragmaClient, Resource

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

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

asyncio.run(main())

Installation

pip install pragmatiks-sdk

Or with uv:

uv add pragmatiks-sdk

Features

  • HTTP Clients - Sync and async clients for the Pragmatiks API
  • Provider Authoring - Build custom providers with type-safe Config and Outputs
  • Provider Deployment - Push, build, deploy, and rollback providers programmatically
  • Dead-Letter Queue - Inspect and retry failed events for debugging and recovery
  • 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()

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 in this order:

  1. Explicit auth_token parameter
  2. Context-specific environment variable: PRAGMA_AUTH_TOKEN_{CONTEXT} (e.g., PRAGMA_AUTH_TOKEN_PRODUCTION)
  3. Generic environment variable: PRAGMA_AUTH_TOKEN
  4. Credentials file: ~/.config/pragma/credentials

The context is determined by: explicit context parameter > PRAGMA_CONTEXT env var > CLI config > "default".

# Auto-discover credentials (uses default context)
client = PragmaClient()

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

# Use a specific context (checks PRAGMA_AUTH_TOKEN_PRODUCTION first)
client = PragmaClient(context="production")

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

API Reference

HTTP Client Methods

Both PragmaClient (sync) and AsyncPragmaClient (async) provide the same methods.

Resources

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
list_resource_types(provider) List available resource types from deployed providers

Providers

Method Description
list_providers() List all providers for the current tenant
push_provider(provider_id, tarball) Push provider code and trigger a build
deploy_provider(provider_id, version) Deploy a provider (latest build if no version)
rollback_provider(provider_id, version) Rollback to a previous build version
delete_provider(provider_id, cascade) Delete a provider and associated resources
get_deployment_status(provider_id) Get deployment status for a provider
list_builds(provider_id) List builds for a provider
get_build_status(provider_id, version) Get status of a specific build
stream_build_logs(provider_id, version) Stream logs from a build

Dead-Letter Queue

Method Description
list_dead_letter_events(provider) List dead letter events with optional provider filter
get_dead_letter_event(event_id) Get a dead letter event by ID
retry_dead_letter_event(event_id) Retry a single dead letter event
retry_all_dead_letter_events() Retry all dead letter events
delete_dead_letter_event(event_id) Delete a single dead letter event
delete_dead_letter_events(provider, all) Delete multiple dead letter events

User & Health

Method Description
is_healthy() Check API health
get_me() Get current authenticated user information

Provider Classes

Class Description
Provider() Resource grouping 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

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