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This guide provides implementation patterns for managing Ramp's Developer API rate limits. It details using OAuth2 authentication to integrate corporate card management, expense tracking, and accounting synchronization within your application. It covers API call patterns, error handling (e.g., 429 Rate Limited), and prerequisites for developers building financial tools.

This skill provides implementation patterns for interacting with the Ramp Developer API, focusing on security basics, OAuth2 authentication, and managing corporate card and expense data. It guides developers through obtaining access tokens, querying card information, and handling common API errors, making it essential for integrating financial sync or expense tracking into custom applications.

This guide provides essential implementation patterns and solutions for common API errors encountered when integrating with the RemoFirst platform. It addresses critical functions like global HR management, Employer of Record (EOR), and payroll processing, ensuring stable and compliant data handling for international employment scenarios.

This skill provides essential integration patterns and best practices for connecting with the RemoFirst API. It is designed for managing global HR, Employer of Record (EOR), and payroll compliance across different regions. Use this when building automated workflows that require fetching employee data, handling API rate limits (429), or managing common authentication errors (401).

This skill integrates with the Runway ML platform, enabling developers to programmatically generate high-quality video and edit images using the official Python SDK. Use this when your workflow requires advanced creative AI features, such as converting text prompts into videos, or managing complex creative tasks within a CI/CD pipeline. The skill provides necessary patterns and error handling for successful API calls.

A comprehensive guide and implementation pattern for handling common errors when working with the Runway AI platform. This skill provides Python SDK examples for tasks like image-to-video generation, along with structured solutions for API issues such as 'Unauthorized' (401) or 'Insufficient credits' (402), ensuring smooth and reliable creative AI workflows.

This debug bundle provides development patterns and SDK integration for RunwayML, a powerful AI video generation and creative platform. Users can leverage this bundle to perform tasks like image-to-video conversion and advanced content creation. It includes structured examples and robust error handling, making it ideal for developers needing to integrate professional-grade AI video capabilities into their applications.

A comprehensive checklist and implementation guide for utilizing RunwayML's API for advanced AI video generation and image editing. This skill provides the Python SDK pattern, covering tasks like image-to-video creation, model selection, and waiting for task completion. It also includes critical error handling for common issues (e.g., unauthorized access or insufficient credits), making it essential for developers building production-level creative AI applications.

This skill provides the implementation pattern and comprehensive guide for integrating the Runway ML API. It demonstrates using the Python SDK to perform advanced creative tasks, such as image-to-video generation. Furthermore, it includes crucial error handling instructions for managing common issues like API rate limits, unauthorized access (401), and credit exhaustion.

This skill provides implementation patterns for using the Runway SDK. It enables users to perform advanced creative AI tasks, such as generating videos from text prompts or converting images to video, using the official Python SDK. It covers the full workflow, including setup, task execution, output retrieval, and error handling, making it ideal for creative media automation and advanced video production workflows.

This skill provides implementation patterns for utilizing Runway's AI video generation and creative platform. It covers setting up the SDK, generating videos from images, and handling common API errors (like insufficient credits or unauthorized access). It is designed for developers needing to integrate secure, high-quality AI video workflows into their applications.

A comprehensive guide and implementation pattern for handling Salesforce API quotas and rate limits. Learn how to monitor daily usage, implement exponential backoff with jitter for transient errors (like REQUEST_LIMIT_EXCEEDED), and optimize API calls using bulk operations, caching, and queryMore to ensure stable, high-throughput integrations.