llmintel-mcp — alternative #1 to BerriAI-litellm
📇 ☁️ - Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock,...
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Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
📇 ☁️ - Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock,...
CetusGuard is a tool that protects the Docker daemon socket by filtering calls to its API endpoints.
Library to use Google Gemini API. Automatic context management, schema generation, function calling and more.
Fast, flexible LLM inference engine supporting multimodal models, quantization (GGUF/GPTQ/ISQ), and OpenAI-compa...
LLM inference engine in pure Rust + CUDA with no PyTorch and no Python runtime — OpenAI-compatible API, paged KV cache, CUDA Graph, serving...
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with BerriAI-litellm directly — Oryxen records pricing classes, not live quotes.