What this error means
npm package tampering (supply chain attack) breaking LiteLLM gateway used by CrewAI, DSPy, Browser-Use, Opik and nearly every major AI agent framework is a LiteLLM failure pattern reported for developers trying to recover from or prevent damage caused by litellm npm package supply chain compromise affecting production llm routing pipelines. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
LiteLLM (95M monthly downloads) was hit by a supply chain attack on March 24, 2026, compromising the pip install dependency chain used by virtually all major AI agent frameworks. Enterprise users depend on LiteLLM proxy for billing, load balancing and model routing. Extremely high commercial impact. Not in covered-errors.md list — completely novel error class.
Common causes
- LiteLLM (95M monthly downloads) was hit by a supply chain attack on March 24, 2026, compromising the pip install dependency chain used by virtually all major AI agent frameworks. Enterprise users depend on LiteLLM proxy for billing, load balancing and model routing. Extremely high commercial impact. Not in covered-errors.md list — completely novel error class.
Quick fixes
- Confirm the exact error signature matches
npm package tampering (supply chain attack) breaking LiteLLM gateway used by CrewAI, DSPy, Browser-Use, Opik and nearly every major AI agent framework. - Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
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.