What this error means

MiMo Token Plan Anthropic-compatible endpoint returns 400 when thinking + tool_use history is replayed is a Anthropic API failure pattern reported for developers trying to fix 400 error when using xiaomi mimo token plan anthropic-compatible endpoint with thinking mode and tool_use message replay. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Reproducible on macOS Apple Silicon with Craft Agents 0.9.2. MiMo Token Plan is a paid Xiaomi AI service. The endpoint at token-plan-cn.xiaomimimo.com/anthropic implements a subset of Anthropic Messages API. Thinking + tool_use replay triggers 400.

Common causes

  • Developers using Xiaomi MiMo Token Plan's Anthropic-compatible API endpoint encounter 400 errors when the conversation history contains both thinking blocks and tool_use messages. The endpoint implements a subset of the Anthropic Messages API but fails to handle the thinking + tool_use combination correctly, breaking multi-turn agentic workflows.
  • Reproducible on macOS Apple Silicon with Craft Agents 0.9.2. MiMo Token Plan is a paid Xiaomi AI service. The endpoint at token-plan-cn.xiaomimimo.com/anthropic implements a subset of Anthropic Messages API. Thinking + tool_use replay triggers 400.

Quick fixes

  1. Confirm the exact error signature matches MiMo Token Plan Anthropic-compatible endpoint returns 400 when thinking + tool_use history is replayed.
  2. Check the Anthropic API 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.