Agent skill
palantir-sdk-patterns
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".
Install this agent skill to your Project
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/palantir-pack/skills/palantir-sdk-patterns
SKILL.md
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-authsetup - Familiarity with async/await patterns
foundry-platform-sdkor@osdk/clientinstalled
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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