Unverified50% confidenceConceptExact time
Context is all the information the model can see when generating the current reply (including system prompts, historical conversation, uploaded files, etc.), it is measured in tokens and has an upper limit, and when approaching the limit the earlier content will be discarded or needs to be compressed
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Codex for Absolute Beginners: From Installation and Setup to Running Your First Piece of Code
bilibili搞AI的阿黑10/16/2026
Related Entities
Related Claims
UnverifiedThe context window refers to the upper limit of input tokens a model can accommodate in a single inference; the system prompt, user messages, tool results and conversation history share this budget, and once exceeded, it is either truncated or an error is returned.75% similarUnverifiedThe context sent with each model call typically includes the system prompt, the tool definition list, memories and files, and the full conversation record.73% similarVerifiedThe context window determines how much content the model can remember within a single conversation.73% similarUnverifiedThe actual number of tokens consumed by a single user request includes the entire input context (including conversation history, system prompts, tool definitions, etc.) as well as the response content generated by the model.72% similarUnverifiedContext engineering focuses on all background information that a model relies on when generating answers, including retrieved documents, conversation history, system settings, and external data, requiring systematic organization and management of information accessible to the model.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1043684API
curl https://kongchang.com/api/v1/knowledge/claims/1043684MCP
get_claim(id=1043684)