Palantir Foundry Rate Limit Handler
Manages Palantir Foundry API rate limits using exponential backoff, request queuing, and retry logic to ensure reliable data integration.
The Palantir Rate Limits skill provides a robust framework for handling Palantir Foundry API constraints, specifically targeting 429 (Too Many Requests) and 5xx errors. It implements industry-standard patterns like jittered exponential backoff and token bucket rate limiting to optimize request throughput while staying within enrollment tier limits. This skill is essential for developers building high-volume integrations, batch processing scripts, or real-time applications that interact with Foundry Ontologies, Datasets, and Action types, ensuring applications remain stable even under heavy load.
주요 기능
01Token bucket rate limiting for managing batch operation throughput
02Automatic exponential backoff with jitter for 429 and 5xx errors
03Seamless integration with the foundry-platform-sdk for Python
04Pre-configured throughput profiles for Ontology and Dataset endpoints
05Smart header parsing for X-RateLimit-Remaining and Retry-After values
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사용 사례
01Optimizing high-frequency search and read queries for Palantir-backed applications
02Bulk updating large sets of Ontology objects without triggering API throttling
03Building resilient data pipelines that gracefully handle temporary service interruptions