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 claude to use a local Ollama model with Claude Code, but have CLAUDE_CODE_USE_BEDROCK=1 set 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 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'.

Quick fixes

  1. Confirm the exact error signature matches API Error (model_name): 400 Bad Request — Bedrock rejects Ollama model name.
  2. Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. 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.