What this error means
Received slug: %%drp:slugs:9ca6cb0ae51f1%% TypeError: c.join is not a function is a Vercel failure pattern reported for developers trying to fix internal placeholder param %%drp:slugs:...%% leaking as catch-all segment params during next.js production build with cache components + parallel routes, causing prerender failure. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #93897 opened May 16, 2026 by user alexortizl — During Next.js 16.3.0-canary.21 production build with Turbopack + Cache Components + Parallel Routes, internal param placeholder %%drp:slugs:9ca6cb0ae51f1%% leaks into catch-all segment params as string instead of string array. Calling .join() fails with TypeError: c.join is not a function. Blocks production build/export. Areas: Partial Prerendering, Dynamic Routes, Parallel & Intercepting Routes.
Common causes
- GitHub Issue #93897 opened May 16, 2026 by user alexortizl — During Next.js 16.3.0-canary.21 production build with Turbopack + Cache Components + Parallel Routes, internal param placeholder %%drp:slugs:9ca6cb0ae51f1%% leaks into catch-all segment params as string instead of string array. Calling .join() fails with TypeError: c.join is not a function. Blocks production build/export. Areas: Partial Prerendering, Dynamic Routes, Parallel & Intercepting Routes.
Quick fixes
- Confirm the exact error signature matches
Received slug: %%drp:slugs:9ca6cb0ae51f1%% TypeError: c.join is not a function. - Check the Vercel 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.