Unverified50% confidenceFactExact time
In traditional tool-calling workflows, developers typically bind the tool set at the start of a session, making it difficult to change throughout the conversation lifecycle
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMid-conversation tool changes allow different tool lists to be passed in across different turns of the same session, enabling agents to load specialized toolkits on demand, thereby reducing token consumption and improving tool call precision.77% similarUnverified项目级规格配置文件通过在每次会话启动时自动注入项目规范,人为构造持久化上下文,弥补LLM没有跨对话持久记忆的天然局限76% similarUnverifiedThe mid-conversation tool-change feature in version 1.6.5 can simplify the workaround code that developers previously wrote to implement dynamic tool sets76% similarUnverifiedTo achieve multi-turn conversational coherence, developers must concatenate the conversation history into the input at each call, or inject relevant context into the prompt by retrieving it through an external memory system.74% similarUnverifiedMid-conversation steering allows developers to inject new instructions or constraints during the model's generation of a response, enabling real-time intervention.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/972199API
curl https://kongchang.com/api/v1/knowledge/claims/972199MCP
get_claim(id=972199)