What this error means
Not Found: error code 7003 Could not route to /client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/ai/v1/chat/completions — object identifier invalid is a Cloudflare failure pattern reported for developers trying to cloudflare workers ai api call fails with 7003 routing error when cloudflare_account_id placeholder not properly substituted in curl/base url. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #18552 on anomalyco/opencode — Cloudflare Workers AI returns 7003 error with templated $CLOUDFLARE_ACCOUNT_ID literally present in path. Developer confusion about proper credential substitution for Workers AI endpoint. Covers 7003 error code not in covered-errors (only 522/525 listed). Category: Cloudflare.
Common causes
- GitHub issue #18552 on anomalyco/opencode — Cloudflare Workers AI returns 7003 error with templated $CLOUDFLARE_ACCOUNT_ID literally present in path. Developer confusion about proper credential substitution for Workers AI endpoint. Covers 7003 error code not in covered-errors (only 522/525 listed). Category: Cloudflare.
Quick fixes
- Confirm the exact error signature matches
Not Found: error code 7003 Could not route to /client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/ai/v1/chat/completions — object identifier invalid. - Check the Cloudflare 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.