What this error means
API Error (model_name): 400 Bad Request — Bedrock rejects Ollama model name is a Ollama failure pattern reported for developers trying to fix ollama launch claude 400 error when claude_code_use_bedrock is enabled in settings. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Active GitHub issue on ollama/ollama (May 2026). ollama launch claude sets the model name to the pulled local model (e.g., gemma4) but does not override backend routing. When CLAUDE_CODE_USE_BEDROCK=1 is in Claude Code settings.json, requests route to AWS Bedrock which rejects the model name with 'API Error (gemma4): 400'.
Common causes
- When developers run
ollama launch claudeto use a local Ollama model with Claude Code, but haveCLAUDE_CODE_USE_BEDROCK=1set in~/.claude/settings.json, Claude Code routes requests to AWS Bedrock instead of Ollama. Bedrock rejects the local model name (e.g., 'gemma4') with a 400 error. This is a subtle configuration conflict that's hard to diagnose without knowing both tools' settings interactions. - Active GitHub issue on ollama/ollama (May 2026).
ollama launch claudesets the model name to the pulled local model (e.g., gemma4) but does not override backend routing. When CLAUDE_CODE_USE_BEDROCK=1 is in Claude Code settings.json, requests route to AWS Bedrock which rejects the model name with 'API Error (gemma4): 400'.
Quick fixes
- Confirm the exact error signature matches
API Error (model_name): 400 Bad Request — Bedrock rejects Ollama model name. - Check the Ollama 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.