* fix: handle list format content from OpenAI-compatible APIs
Some LLM providers (e.g., GLM-4.5V via SiliconFlow) return content as
list[dict] format like [{'type': 'text', 'text': '...'}] instead of
plain string. This causes the raw list representation to be displayed
to users.
Changes:
- Add _normalize_content() helper to extract text from various content formats
- Use json.loads instead of ast.literal_eval for safer parsing
- Add size limit check (8KB) before attempting JSON parsing
- Only convert lists that match OpenAI content-part schema (has 'type': 'text')
to avoid collapsing legitimate list-literal replies like ['foo', 'bar']
- Add strip parameter to preserve whitespace in streaming chunks
- Clean up orphan </think> tags that may leak from some models
Fixes#5124
* fix: improve content normalization safety
- Try json.loads first, fallback to ast.literal_eval for single-quoted
Python literals to avoid corrupting apostrophes (e.g., "don't")
- Coerce text values to str to handle null or non-string text fields
NayukiMeko
79e239ad97