Stop LLM Proxy Logs from Leaking Prompts and Metadata

For developers and SREs running LLM proxies: paste a log line or header block and instantly see which model names, prompt content, and user metadata are exposed—before they hit storage or third parties.

Results update live as you type — no button needed. The Example button fills a sample input.

Why use LLM Proxy Log Inspector?

Line-by-line detection of leaked model identifiers, prompt text, and user metadata

Flags API keys, user IDs, and other sensitive fields in request headers

Works with raw proxy logs and header blocks from OpenAI-compatible proxies

No data leaves your browser—inspection runs entirely client-side

Clear risk report shows exactly where each sensitive field appears

FAQ

What counts as a leak in LLM proxy logs?

Any sensitive field that appears in logs or headers—such as model names, full prompt text, user IDs, API keys, or metadata—can be a leak if it reaches storage or third parties without redaction.

Does this tool send my logs to a server?

No. All inspection runs locally in your browser. Your log data never leaves your device.

Which log formats are supported?

The inspector works with common LLM proxy log lines and header blocks, including those from OpenAI-compatible proxies and custom gateways. It looks for key-value patterns and known sensitive fields.

Can I use this for compliance audits?

Yes. The leak report helps you identify accidental exposure of model names, prompts, and metadata, which is useful for privacy and compliance reviews.

Example input

Try it with this sample — paste it into the box above:

2024-06-01T12:00:01Z INFO POST /v1/chat/completions 200 model=gpt-4o prompt="Summarize the quarterly earnings report" user_id=u_8821 x-api-key=sk-abc123...

How to use LLM Proxy Log Inspector

  1. Enter or paste your data into the Paste LLM proxy log or request headers box above.
  2. The result appears instantly in the Leak risk report box — everything runs in your browser, nothing is uploaded.
  3. Use Copy or Download to keep the result, or Example to load a sample first.

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