palantir-rate-limits

name	palantir-rate-limits
description	Implement Palantir Foundry API rate limiting, backoff, and request queuing. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for Foundry. Trigger with phrases like "palantir rate limit", "foundry throttling", "palantir 429", "foundry retry", "palantir backoff".
allowed-tools	Read, Write, Edit
version	1.5.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","palantir","foundry","rate-limits","reliability"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Palantir Rate Limits

Overview

Handle Foundry API rate limits with exponential backoff, request queuing, and monitoring. Foundry rate limits vary by endpoint and enrollment tier.

Prerequisites

• foundry-platform-sdk installed
• Understanding of HTTP 429 responses

Instructions

Step 1: Understand Foundry Rate Limits

Foundry rate limits are per-user and per-endpoint. Key limits:

Endpoint Category	Typical Limit	Burst
Ontology reads	100 req/s	200
Ontology writes (Actions)	50 req/s	100
Dataset reads	50 req/s	100
Search queries	20 req/s	50

Rate limit headers returned:

• X-RateLimit-Limit — max requests per window
• X-RateLimit-Remaining — requests left in window
• Retry-After — seconds to wait (on 429)

Step 2: Implement Retry with Backoff (Python)

import time
import random
import foundry

def retry_foundry_call(fn, *args, max_retries=5, base_delay=1.0, **kwargs):
    """Retry Foundry API calls with jittered exponential backoff."""
    for attempt in range(max_retries + 1):
        try:
            return fn(*args, **kwargs)
        except foundry.ApiError as e:
            if attempt == max_retries:
                raise
            if e.status_code not in (, , , ):
                  
            delay = base_delay * ( ** attempt) + random.uniform(, )
            retry_after = (e, , )
             retry_after:
                delay = (delay, (retry_after))
            ()
            time.sleep(delay)


employees = retry_foundry_call(
    client.ontologies.OntologyObject.,
    ontology=, object_type=, page_size=,
)