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A practical guide to the economics of self-hosting open-weight LLMs. Using Kimi K2.6 and real production traffic from Cline, this post breaks down GPU memory, inference, batching, pricing, and the point at which self-hosting can save millions.
Learn how Hexabot uses LiteLLM to connect built-in AI actions to 100+ model providers through one OpenAI-compatible gateway.
A Slack bot triages every GitHub advisory, posts a rocket-to-trigger ask in the channel, and on one human reaction runs the full content pipeline: detection queries, blog scaffold, social drafts, a 35-second auto-cut demo.
Poisoned LiteLLM packages on PyPI started stealing credentials. Using Deep Search and Code Search, we traced which public repos were protected by version pinning and which were left exposed. Here's how—and how you can do the same for any supply chain incident.
A malicious credential-stealing file appeared in LiteLLM 1.82.8. LangWatch customers were not impacted because all dependencies are pinned with lockfiles.
I've been building Kiln AI: an open tool to help you find the best way to run your AI workload. Testing different models to see which ones work best is a huge part of this process.
Vertex, Azure, QwQ, Gemma, Hugging Face, W&B, Anthropic, Import CSV, and More!
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