Palantir SDK Patterns Skill

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)

# 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

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

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

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

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

_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

Next Steps

Apply patterns in palantir-core-workflow-a for real pipeline usage.

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