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OpenClaw LLM Proxy

A secure self-hosted proxy that safeguards LLM interactions through advanced scanning and routing.

Open SourceProductivity
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Free to browse · updated 2026-06-17
OpenClaw LLM Proxy screenshot

What is OpenClaw LLM Proxy?

The proxy performs thorough checks on every incoming request and generated reply to detect personally identifiable information, authentication details, or attempts to manipulate the model behavior. Detected issues can be addressed by blocking, modifying, or recording the activity while maintaining compatibility with standard client libraries. Routing logic directs traffic intelligently based on model identifiers, supporting fallback options and distribution across backends for improved reliability. Additional modules track expenditures against defined limits, enforce tenant-specific policies, and provide caching to reduce redundant calls. Observability tools deliver real-time insights through metrics collection, structured logging, and dashboard views, making the solution suitable for production environments where compliance and control are priorities.

Key features

DLP scanning for PII, credentials and injection attacks
Routes across 6 LLM backends
Spend tracking with budgets and enforcement
Multi-tenancy with per-team API keys
Response caching with LRU and Redis support
Observability via dashboard, Prometheus and logs
Self-hosted with Helm chart and zero telemetry

What you can use OpenClaw LLM Proxy for

Protect sensitive data in LLM prompts

Automatically scan every inbound prompt and outbound response for PII such as SSNs and credit cards plus credentials and injection attacks, with options to block, redact or log detections before forwarding to any backend.

Control LLM spending across teams

Track per-backend costs in real time, set monthly budgets with automatic 402 enforcement, and apply separate limits per team through multi-tenant API keys.

Run a secure self-hosted LLM gateway

Deploy via Helm with zero telemetry, route requests across multiple providers, enable LRU or Redis caching, and monitor everything through Prometheus metrics and a built-in dashboard.

How to use OpenClaw LLM Proxy

  1. 1Clone the repository with git clone https://github.com/secure-mind-live/openclaw-llmproxy
  2. 2Change into the project directory
  3. 3Set PROXY_API_KEY and start the stack with docker compose up -d
  4. 4Send requests to http://localhost:8005/v1/chat/completions using any OpenAI-compatible SDK

OpenClaw LLM Proxy pricing

Pricing model: Open Source. Plan details are indicative — check the site for current prices.

Open Source

Free
  • Self-hosted
  • Multi-provider routing
  • DLP scanning
  • Spend tracking

Editor's verdict

Pros

  • +Strong built-in security scanning not offered by alternatives
  • +Self-hosted open-source deployment
  • +Enterprise features like multi-tenancy and budgets included

Cons

  • Requires self-hosting and Docker setup
  • No public pricing or cloud SaaS option listed

Our take: OpenClaw LLM Proxy is a solid productivity choice. It's valued for strong built-in security scanning not offered by alternatives and self-hosted open-source deployment. The main trade-off is requires self-hosting and docker setup. A good pick if you want capable AI without a high upfront cost.

Frequently asked questions

It routes to six backends including OpenAI, Anthropic, Google, Ollama and vLLM with prefix-based routing and fallback chains.

Summary

OpenClaw LLM Proxy is a solid productivity choice. It's valued for strong built-in security scanning not offered by alternatives and self-hosted open-source deployment. The main trade-off is requires self-hosting and docker setup. A good pick if you want capable AI without a high upfront cost.

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