What this error means
LiteLLM Ollama reasoning_content always null — /api/generate doesn't return thinking field is a LiteLLM failure pattern reported for developers trying to fix litellm not capturing reasoning/thinking content from ollama models like qwen3 and deepseek-r1. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
LiteLLM 1.83.10 hardcodes /api/generate endpoint for Ollama. /api/generate returns {response: '...', context: [...]} without thinking field. /api/chat returns thinking correctly. reasoning_content always None.
Common causes
- LiteLLM always calls Ollama's /api/generate which doesn't return a thinking field. Reasoning models (Qwen3, DeepSeek-R1) generate internal reasoning that is lost. /api/chat returns thinking correctly but LiteLLM uses /api/generate.
- LiteLLM 1.83.10 hardcodes /api/generate endpoint for Ollama. /api/generate returns {response: '...', context: [...]} without thinking field. /api/chat returns thinking correctly. reasoning_content always None.
Quick fixes
- Confirm the exact error signature matches
LiteLLM Ollama reasoning_content always null — /api/generate doesn't return thinking field. - Check the LiteLLM 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.