LM Studio Parser Bugs Break Qwen3.5 Tools
💡Fixes for LM Studio bugs crippling Qwen3.5 tools & reasoning—essential for local devs.
⚡ 30-Second TL;DR
What Changed
Parser misinterprets tool syntax in <think> blocks, triggering recursive loops.
Why It Matters
Undermines reliability of local tool-using LLMs in LM Studio, forcing workarounds that disable key reasoning features and limit multi-tool setups.
What To Do Next
Disable reasoning in LM Studio via '{%- set enable_thinking = false %}' and retest Qwen3.5 tool calls.
Key Points
- •Parser misinterprets tool syntax in <think> blocks, triggering recursive loops.
- •Second MCP server registration corrupts first server's tool call recognition.
- •Prevents models from debugging tool issues as descriptions trigger parser.
- •Workaround: set enable_thinking = false for successful tool calls.
🧠 Deep Insight
Background and context from public sources — not the original article. 7 sources cited.
🔑 Enhanced Key Takeaways
- •LM Studio fixed a Qwen3.5 RAG Jinja rendering bug reporting 'No user query found in messages', distinct from the ongoing parser token errors[3].
- •Multiple open issues with Qwen3 models in LM Studio include 'Load model greyed out with Qwen3 Next models' and low-quality vision output for Qwen3-VL on macOS[2].
- •A specific Jinja template parser error in LM Studio for Qwen3 manifests as 'Expected closing statement token. OpenSquareBracket !== CloseStatement', linked to prompt rendering failures[1].
🛠️ Technical Deep Dive
- •The bug involves Jinja2 template parsing failure during prompt rendering for Qwen3, where an unclosed statement token error occurs due to mismatched brackets like OpenSquareBracket in complex message loops[1].
- •Qwen3.5-35B-A3B is a reasoning vision-language MoE model with 35B total parameters and 3B activated, designed to support tool use[7].
- •Qwen3 family includes dense models from 4B to 235B and MoE variants, with thinking and non-thinking options; smallest requires 2GB RAM, largest up to 134GB[6].
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (7)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: Reddit r/LocalLLaMA ↗
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