--- name: palantir-sdk-patterns description: 'Apply production-ready Palantir Foundry SDK patterns for Python and TypeScript. Use when implementing Foundry integrations, refactoring SDK usage, or establishing team coding standards for Foundry API calls. Trigger with phrases like "palantir SDK patterns", "foundry best practices", "palantir code patterns", "idiomatic foundry SDK". ' allowed-tools: Read, Write, Edit version: 2.0.0 license: MIT author: Jeremy Longshore tags: - saas - palantir - foundry - sdk - patterns - typescript compatibility: Designed for Claude Code, also compatible with Codex and OpenClaw --- # Palantir SDK Patterns ## Overview Production-ready patterns for Foundry Platform SDK and OSDK usage. Covers client singletons, typed error handling, pagination helpers, retry logic, and multi-tenant client factories. ## Prerequisites - Completed `palantir-install-auth` setup - Familiarity with async/await patterns - `foundry-platform-sdk` or `@osdk/client` installed ## Instructions ### Step 1: Singleton Client (Python) ```python # src/foundry_client.py import os import foundry from functools import lru_cache @lru_cache(maxsize=1) def get_client() -> foundry.FoundryClient: """Thread-safe singleton — cached after first call.""" auth = foundry.ConfidentialClientAuth( client_id=os.environ["FOUNDRY_CLIENT_ID"], client_secret=os.environ["FOUNDRY_CLIENT_SECRET"], hostname=os.environ["FOUNDRY_HOSTNAME"], scopes=["api:read-data", "api:write-data"], ) auth.sign_in_as_service_user() return foundry.FoundryClient(auth=auth, hostname=os.environ["FOUNDRY_HOSTNAME"]) ``` ### Step 2: Typed Error Handling ```python import foundry from dataclasses import dataclass from typing import TypeVar, Generic, Optional T = TypeVar("T") @dataclass class Result(Generic[T]): data: Optional[T] = None error: Optional[str] = None status_code: Optional[int] = None def safe_call(fn, *args, **kwargs) -> Result: """Wrap any Foundry SDK call with structured error handling.""" try: return Result(data=fn(*args, **kwargs)) except foundry.ApiError as e: return Result(error=e.message, status_code=e.status_code) except Exception as e: return Result(error=str(e)) # Usage result = safe_call( get_client().ontologies.OntologyObject.list, ontology="my-company", object_type="Employee", page_size=10, ) if result.error: print(f"Error {result.status_code}: {result.error}") else: print(f"Found {len(result.data.data)} objects") ``` ### Step 3: Pagination Helper ```python def paginate_objects(client, ontology: str, object_type: str, page_size: int = 100): """Iterate through all objects with automatic pagination.""" page_token = None while True: result = client.ontologies.OntologyObject.list( ontology=ontology, object_type=object_type, page_size=page_size, page_token=page_token, ) yield from result.data page_token = result.next_page_token if not page_token: break # Usage for emp in paginate_objects(get_client(), "my-company", "Employee"): print(emp.properties["fullName"]) ``` ### Step 4: Retry with Exponential Backoff ```python import time import random def retry_with_backoff(fn, max_retries=3, base_delay=1.0): """Retry on 429/5xx with jittered exponential backoff.""" for attempt in range(max_retries + 1): try: return fn() except foundry.ApiError as e: if attempt == max_retries or e.status_code not in (429, 500, 502, 503): raise delay = base_delay * (2 ** attempt) + random.uniform(0, 0.5) print(f"Retry {attempt + 1}/{max_retries} in {delay:.1f}s (HTTP {e.status_code})") time.sleep(delay) ``` ### Step 5: TypeScript OSDK Patterns ```typescript import { createClient, type Client } from "@osdk/client"; import { createConfidentialOauthClient } from "@osdk/oauth"; // Singleton with lazy initialization let _client: Client | null = null; export function getOsdkClient(): Client { if (!_client) { const oauth = createConfidentialOauthClient( process.env.FOUNDRY_CLIENT_ID!, process.env.FOUNDRY_CLIENT_SECRET!, `https://${process.env.FOUNDRY_HOSTNAME}/multipass/api/oauth2/token`, ); _client = createClient( `https://${process.env.FOUNDRY_HOSTNAME}`, process.env.ONTOLOGY_RID!, oauth, ); } return _client; } ``` ## Output - Thread-safe singleton client with cached auth - Structured Result type for error handling - Automatic pagination for large object sets - Retry logic with jittered backoff ## Error Handling | Pattern | Use Case | Benefit | |---------|----------|---------| | Singleton | All API calls | One auth flow, reused connection | | Result wrapper | Error propagation | No uncaught exceptions | | Pagination helper | Large datasets | Memory-safe iteration | | Retry with backoff | Transient failures | Resilient operations | ## Examples ### Multi-Tenant Client Factory ```python _clients: dict[str, foundry.FoundryClient] = {} def get_client_for_tenant(tenant_id: str) -> foundry.FoundryClient: if tenant_id not in _clients: hostname = get_tenant_hostname(tenant_id) token = get_tenant_token(tenant_id) _clients[tenant_id] = foundry.FoundryClient( auth=foundry.UserTokenAuth(hostname=hostname, token=token), hostname=hostname, ) return _clients[tenant_id] ``` ## Resources - [Foundry Platform SDK](https://github.com/palantir/foundry-platform-python) - [SDK Reference](https://www.palantir.com/docs/foundry/api/general/overview/sdks) - [OSDK Overview](https://www.palantir.com/docs/foundry/ontology-sdk/overview) ## Next Steps Apply patterns in `palantir-core-workflow-a` for real pipeline usage.