Launching today

OpenClaw LLM Proxy

Launching today

Scan every LLM API call for PII and injection attacks

6 followers

Scan every LLM API call for PII and injection attacks

6 followers

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OpenClaw sits between your app and any LLM provider. Every prompt is scanned for PII (SSN, credit cards, API keys) and injection attacks before reaching the model. Every response is scanned for data leaks. Routes across 6 backends (OpenAI, Anthropic, Google, Ollama, vLLM) by model prefix. Block, redact, or log - your choice. Multi-tenancy with per-team budgets. Spend tracking. Response caching. Prometheus metrics. Helm chart. 113 tests. One Docker command.

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Launch tags:Open Source•Developer Tools•Artificial Intelligence

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ElevenAgents by ElevenLabsScale conversations without scaling your team

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Hey PH! We built OpenClaw because when teams use GPT/Claude APIs in production, there's usually nothing scanning what flows through those calls. It's a drop-in proxy (same OpenAI API format) that scans every prompt and response for secrets, PII, and credentials. Smart routing picks the right backend by model prefix. Privacy mode blocks all cloud LLMs with one toggle. Open source, self-hosted, zero telemetry. Would love feedback from teams running LLM calls in production - what security layer do you use today?

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5d ago

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p/openclaw-llm-proxy

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5d ago

Launching Tuesday - what security layer do you use for LLM API calls?

We're launching OpenClaw LLM Proxy on Tuesday at 12:01 AM PDT - a drop-in OpenAI API replacement with built-in PII scanning and injection detection.

Curious to hear from the community before we go live: when you send prompts to OpenAI/Anthropic/Google, is there anything scanning for sensitive data before it reaches the provider?

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