LiteLLM / LiteLLM

LiteLLM proxy rate limit error message leaks full SHA-256 hash of API keys

Fix LiteLLM proxy to mask sensitive data (SHA-256 hashes, API keys) in rate limit error responses exposed to end-users Includes evidence for LiteLLM troubleshooting demand.

Source-backed Last updated May 22, 2026 1 source Needs local verification

Category: LiteLLM
Error signature: Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py
Quick fix: Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Updated: May 22, 2026
Verification status: Source-backed
Evidence: 1 public source URL

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for LiteLLM, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py is a LiteLLM failure pattern reported for developers trying to fix litellm proxy to mask sensitive data (sha-256 hashes, api keys) in rate limit error responses exposed to end-users. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #27884 on BerriAI/litellm (opened May 13, 2026). Rate limit error from parallel_request_limiter_v3.py line ~1261 exposes SHA-256 hash in error message body sent to client. Security-sensitive error affecting production LiteLLM proxy deployments. Clear commercial impact for teams running self-hosted LLM proxies.

Common causes

GitHub Issue #27884 on BerriAI/litellm (opened May 13, 2026). Rate limit error from parallel_request_limiter_v3.py line ~1261 exposes SHA-256 hash in error message body sent to client. Security-sensitive error affecting production LiteLLM proxy deployments. Clear commercial impact for teams running self-hosted LLM proxies.

Quick fixes

Confirm the exact error signature matches Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py.
Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

Platform/tool-specific checks

Verify the command, editor, extension, or API client that produced the error.
Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

Capture the exact error message and the command, editor action, or request that triggered it.
Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
Review the source evidence below and compare it with your environment.
Apply one change at a time and rerun the smallest failing action.
Keep the working fix documented for the team or deployment environment.

How to prevent it

Keep provider/tool configuration documented.
Record non-secret diagnostics such as tool version, provider name, model name, and command path.
Add a lightweight check before CI or production workflows depend on the tool.

Diagnostic flow for this page

Match Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py exactly before applying the quick fix.
Compare the failing environment with LiteLLM versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py mean in LiteLLM?

Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py indicates the workflow described by "LiteLLM proxy rate limit error message leaks full SHA-256 hash of API keys" failed in a LiteLLM context. Start by confirming the exact signature and the component that emitted it.

What should I check first for Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py?

Check whether this cause matches your environment: GitHub Issue #27884 on BerriAI/litellm (opened May 13, 2026). Rate limit error from parallel_request_limiter_v3.py line ~1261 exposes SHA-256 hash in error message body sent to client. Security-sensitive error affecting production LiteLLM proxy deployments. Clear commercial impact for teams running self-hosted LLM proxies.

Is the Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py guidance source-backed?

The "LiteLLM proxy rate limit error message leaks full SHA-256 hash of API keys" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py?

For "LiteLLM proxy rate limit error message leaks full SHA-256 hash of API keys", avoid applying "Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging Rate limit error message body leaks full SHA-256 hash of API key via litellm/proxy/hooks/parallel_request_limiter_v3.py?

For "LiteLLM proxy rate limit error message leaks full SHA-256 hash of API keys", collect the failing LiteLLM command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.