Unverified50% confidenceSolutionExact time
Different model families use different special token systems; ChatGLM uses a unique dialogue template format and token specification, and if the token sequence generated by GLM is misidentified by OpenCode as an end-of-dialogue marker, it will cause premature interruption.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/17/2026
First Seen
Valid until: 11/15/2026
Sources
Ollama Cloud GLM在OpenCode中频繁中断的原因与解决方案
Related Claims
UnverifiedThe Llama series of models uses the `[INST]` tag as its dialogue template format, which differs from the message format of mainstream Chat models.67% similarUnverifiedThe root cause of prompt injection lies in the fact that LLM architecture encodes system prompts, user inputs, and externally retrieved content uniformly into the same continuous token sequence, making it impossible for the model to distinguish trusted instructions from untrusted data at the semantic level.64% similarUnverified在大语言模型底层,系统提示词、用户输入和模型输出都是同一个token序列的不同片段,依靠特殊分隔符和训练时植入的行为模式维持边界,而非硬件或操作系统级别的隔离62% similarUnverifiedConversational programming tools like Xiaolongxia are based on Large Language Models (LLMs) and typically comprise three technical layers: a natural language understanding layer, a code generation layer, and an execution layer.62% similarPartially VerifiedBy 2024, large language models could understand complex code logic, perform multi-step reasoning, and handle large-scale codebases, while mainstream coding tools were still limited to single-line autocomplete or simple Q&A59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/759883API
curl https://kongchang.com/api/v1/knowledge/claims/759883MCP
get_claim(id=759883)