Unverified50% confidenceConceptExact time
Agent context is the data sent along with the input on each LLM API call, including the system prompt, tool descriptions, dynamic logs, metric data, and cluster state snapshots.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCombining orchestration platforms, LLM APIs, and RPA tools can build a fully unattended end-to-end process from data input to AI processing to result output to notification distribution.78% similarUnverifiedMainstream model APIs charge separately for input tokens and output tokens, where input includes system prompts, context history, and retrieved document fragments72% similarUnverifiedAn LLM gateway needs to parse the model field in the request payload to make routing decisions, use tokenizers such as tiktoken to count tokens in messages for token-based rate limiting, translate OpenAI-format tools definitions into Anthropic's input_schema, and extract and accumulate the usage field from each chunk of the response stream to compute cost.70% similarUnverifiedTaking LLMs as an example, context includes the system prompt, user query, externally retrieved information, historical interaction records, and additional system outputs.70% similarUnverified系统中调用LLM接口的场景包括新闻分析、信号生成、Agent决策和经验总结等70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1060753API
curl https://kongchang.com/api/v1/knowledge/claims/1060753MCP
get_claim(id=1060753)