ReliAPI
ReliAPI is a stability engine that provides robust error handling, failover protection, and cost optimization for HTTP and LLM APIs, particularly focusing on OpenAI and Anthropic API calls.
https://kikuai-lab.github.io/reliapi?ref=producthunt
Product Information
Updated:Dec 5, 2025
What is ReliAPI
ReliAPI is a comprehensive stability engine designed to transform chaotic API interactions into stable, reliable operations. It serves as a middleware solution that helps manage and optimize API calls, particularly for HTTP and Large Language Model (LLM) APIs. The platform offers both self-hosted options and cloud-based services, making it accessible for different deployment needs while focusing on maintaining high performance with minimal configuration requirements.
Key Features of ReliAPI
ReliAPI is a stability engine designed for HTTP and LLM APIs that provides automatic failover, smart retry mechanisms, idempotency, and cost protection features. It acts as a reliability layer that transforms chaotic API interactions into stable operations, reducing error rates and optimizing costs while supporting both self-hosted and cloud options with minimal configuration requirements.
Automatic Failover System: Automatically switches to backup servers when primary servers fail, ensuring continuous service availability
Smart Retry Management: Intelligently handles rate limits and failed requests with optimized retry strategies
Cost Protection: Implements budget caps and cost variance control to prevent unexpected expenses and maintain predictable spending
High-Performance Caching: Achieves 68% cache hit rate compared to 15% direct API calls, significantly improving response times and reducing API costs
Use Cases of ReliAPI
AI Application Development: Provides stable integration with OpenAI and Anthropic APIs for AI-powered applications requiring reliable LLM access
High-Volume API Services: Manages request storms and heavy API traffic with idempotency controls and efficient request handling
Cost-Sensitive Operations: Helps organizations maintain budget control while using expensive API services through cost protection and caching mechanisms
Pros
Low proxy overhead (15ms) compared to competitors
Supports both HTTP and LLM APIs
Comprehensive feature set including self-hosted options
Minimal configuration requirements
Cons
Limited public track record as a newer solution
Requires additional layer in architecture
How to Use ReliAPI
Get API Key: Sign up and obtain your API key from ReliAPI through RapidAPI platform (https://rapidapi.com/kikuai-lab-kikuai-lab-default/api/reliapi)
Install Required Dependencies: If using Python, install the requests library using pip: pip install requests
Import Library: In your Python code, import the requests library: import requests
Prepare API Request: Create a POST request to 'https://reliapi.kikuai.dev/proxy/llm' with your API key and idempotency key in headers
Configure Request Parameters: Set up the JSON payload with required parameters including 'target' (e.g., 'openai'), 'model' (e.g., 'gpt-4'), and 'messages' array
Make API Call: Send the POST request with your configured headers and JSON payload using the requests library
Handle Response: Process the JSON response from the API call using response.json()
Implement Error Handling: ReliAPI will automatically handle provider errors, rate limits, and request storms with its built-in stability features
ReliAPI FAQs
ReliAPI is a stability engine for HTTP and LLM APIs that helps transform chaos into stability by providing features like automatic failover, smart retry, idempotency, and cost protection.
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