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Unverified60% confidenceFactTime unknown

工具调用对话的序列化需要存储包含多种角色（user、assistant、tool）和多种消息类型（文本、工具调用请求、工具调用结果）的复杂序列

2

Sources

60%

Confidence

Long-term

Relevance

6/1/2026

First Seen

Sources

LLM 0.32a1发布：修复工具调用对话无法恢复的关键Bug

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Related Entities

工具调用concept

Related Claims

Unverified工具调用对话的数据结构包含函数调用请求、参数JSON、执行结果等嵌套信息，序列化复杂度高于普通文本对话78% similar UnverifiedToolContext不仅能获取自定义元数据，还能访问当前的聊天记录State，包含用户提示词、大模型响应、工具调用参数等完整对话上下文信息71% similar UnverifiedToolformer 覆盖了计算器、问答系统、搜索引擎、翻译系统、日历五类工具71% similar Unverified对话式编程的核心技术依赖于长上下文窗口（通常需要100K token以上）和工具调用（Tool Use/Function Calling）能力70% similar Unverified系统提示词在每轮对话中都会被纳入上下文并计入token消耗，Fable类定制服务的系统提示词可能包含数百乃至数千token且对用户不可见69% similar

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