Unverified50% confidenceFactExact time
LLM API requests have a strict limit on the amount of data per call, and untruncated error logs may exceed this limit, rendering the conversation unusable
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge language models still face hallucination problems in information extraction tasks, potentially completing information not explicitly mentioned in conversations and causing inaccurate CRM data.70% similarUnverifiedA model's context window has a physical upper limit and cannot ingest all information from an entire large codebase at once, which may result in code changes that are locally optimal but globally incorrect.69% similarUnverified在高并发下，底层大模型推理服务（如vLLM、TGI、Ollama）可能因GPU显存不足或请求队列溢出而截断响应或拒绝请求68% similarUnverified切换到推理模型时因服务端严格校验tool_calls参数必须是合法JSON而返回400错误，一条格式错误的消息会毒化整个对话历史导致后续请求全部失败66% similarUnverifiedFrequent calls to setData or transferring large amounts of data can cause performance bottlenecks in WeChat Mini Programs.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/897958API
curl https://kongchang.com/api/v1/knowledge/claims/897958MCP
get_claim(id=897958)