Showing 4 open source projects for "open access"

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    Build Securely on AWS with Proven Frameworks

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  • 1
    Portkey AI Gateway

    Portkey AI Gateway

    A blazing fast AI Gateway with integrated guardrails

    Portkey AI Gateway aims to offer a blazing fast, secure, and flexible gateway for interacting with a wide variety of models and enforcing guardrails. It presents a single, friendly API through which you can route to 200+ LLMs, while applying configurable input/output guardrails to enforce policies or restrict certain content. It supports automatic retries, fallbacks, load balancing across providers or keys, and request timeouts to avoid latency spikes. The gateway is multimodal: it can...
    Downloads: 14 This Week
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  • 2
    Bifrost

    Bifrost

    The Fastest LLM Gateway with built in OTel observability

    Bifrost is an LLM gateway designed to provide a unified OpenAI-compatible API front for many different model providers. It abstracts away the complexity of working directly with multiple backend providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, etc.), enabling you to plug in providers and switch between them without touching your client code. It is built to be high performance: in benchmark tests at 5,000 requests per second, it reportedly adds only microseconds of overhead and...
    Downloads: 6 This Week
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  • 3
    MagicAPI AI Gateway

    MagicAPI AI Gateway

    Built for demanding AI workflows

    The world's fastest AI Gateway proxy, written in Rust and optimized for maximum performance. This high-performance API gateway routes requests to various AI providers (OpenAI, GROQ) with streaming support, making it perfect for developers who need reliable and blazing-fast AI API access.
    Downloads: 4 This Week
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  • 4
    LangDB AI Gateway

    LangDB AI Gateway

    Govern, secure, and optimize your AI traffic

    AI Gateway is a high-performance, open-source API gateway optimized for managing and monitoring LLM traffic at scale. Developed by the LangDB team, AI Gateway acts as an intermediary between clients and backend LLMs, providing advanced features like caching, rate limiting, prompt management, and observability. It helps teams secure and optimize their LLM deployments, whether using local models or external APIs like OpenAI or Anthropic. With native support for multi-tenant environments and...
    Downloads: 3 This Week
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