Krindel

LLMOps & Prompt Engineering

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This system functions as a versatile, open-source gateway that seamlessly integrates with various large language model (LLM) providers, enabling efficient routing, failover management, and extensive policy enforcement. Its main features include support for multiple provider configurations, per-key usage quotas, rate limiting, sensitive data redaction, shared caching to optimize performance, and a durable asynchronous queuing system, all managed through a unified interface. Designed for developers and organizations using large language models, it addresses challenges such as provider switching, budget control, privacy compliance, and reliable access, making it ideal for AI application developers, data scientists, and businesses seeking scalable, secure, and flexible LLM deployment solutions.

Krindel can be found in LLMOps & Prompt Engineering categories.

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Details

Krindel Main Features

• PII mode
  You can turn on privacy features to redact personal info from requests and responses.
• Offline demo
  You can try it out offline with a built-in fake provider to see how it works.
• Virtual keys
  It uses special keys scoped to your workspace with usage limits and budgets.
• PII redaction
  It can delete sensitive personal information from responses for privacy.
• Verifiability
  All claims about features can be checked in the code repository.
• Loading engine
  Krindel starts up quickly and is ready to use.
• Shared caching
  It saves some data to make responses faster and reduce costs.
• Supported SDKs
  It works with popular OpenAI SDKs, supporting both streaming and non-streaming calls.
• Cost estimation
  It shows estimated costs based on your configuration and provider prices.
• SDK compatibility
  It works smoothly with official OpenAI SDKs in Python and Node.js.
• Durable async queue
  Requests are stored safely and processed later if needed.
• Routing and failover
  It can send requests to different providers and switch if one is down.
• Single static binary
  Krindel runs from one simple program written with Go language.
• Three-step operation
  Just point your SDK, change the URL and use a virtual key, then you're done.
• Live WebAssembly demo
  You can run Krindel directly in your web browser without leaving the page.
• Routing and governance
  Requests can be prioritized or sent in a round-robin way based on rules.
• OpenAI-compatible gateway
  Krindel works with OpenAI SDKs and is easy to add with just one line of code.
• Per-key budgets and rate limits
  Each key has limits and budgets to control how much it can use.

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