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Pros & Cons


  • Open-source platform
    Robust deployment readiness
    Emphasizes on reliability
    High performance capabilities
    Universal API provision
    Removes need for multiple APIs
    Seamless integration with multiple providers
    Load balancing efficiency
    Automatic fallback feature
    Exponential retries availability
    Semantic caching for cost reduction
    Improved latency management
    Enhanced control on API applications
    Insights about API usage
    Observability through request tracking
    Usage monitoring
    Understands user, request, model costs
    API key management safeguards
    Easy renewal and revocation of credentials
    LLM playround for experimetning
    User-friendly environment
    Accessible documentation
    Performance monitoring


  • Lack of offline capabilities
    Limited support for models
    Complex request tracing
    Inefficient auto retries
    Inexperienced user environment
    API key revoking complexity
    Advanced knowledge requirement
    Limited API fallback options
    Potential latency in load balancing
    Lack of multi-language support

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