Alternatives
Products that do what VeilProxy does
Enterprise LLM sanitization and PII stripping proxy
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OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection…
Dec 2025 · github.com
- 4AL
We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
2025 · github.com
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# TL;DR We built VeilStream, a drop-in, read-only PostgreSQL proxy that strips, masks, or anonymizes sensitive values as queries stream through. In less than two minutes, you can put a proxy in front of a PostgreSQL database, whether hosted on your laptop, Neon, Supabase, or a cloud provider, and the user is able to start configuring filter rules. The use cases we're trying to solve are: - Production-like data in development environments - Improve incident handling by masking all data that is not relevant - Share a subset of your data - Protecting data being shipped into a data lake - Safe…
2025 · app.veilstream.com
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I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com
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Self-hosted PII firewall for LLMs — policies, audit trail
Jun 2026 · github.com
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The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to something new, I was poking more holes in it - and it didn't differentiate between HTTP verbs. I've been…
Jul 2026 · trollbridge.dev
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Threw together this very specific proxy that allows the downstream to define which IP will be used for the proxied request, and has built-in rate limiting mechanism to coordinate upstream rate limiting across clients. This is particularly useful when you have a proxy node with many IPs, and you either want to use a specific one, or rotate through them. It also helps prevent upstream rate limiting due to disjoint clients being unable to coordinate on rate limits. Opus was largely able to one-shot each feature from my specs, which was pretty cool (shows how effective a spec is).
Jan 2026 · github.com
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Selfhosted proxy; scrubs secrets from AI Agent tool calls.
Mar 2026 · quiguardweb.vercel.app
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2024 · openai.servicestack.net
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