Browse A-Z

机器辅助翻译草稿 (Chinese) for "Memory Cold Start Budget": Memory Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for volatile runtime storage. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Cold Start Budget when the process approached its memory limit, so the team could keep first requests responsive before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Context Contract": Memory Context Contract is a ai interface contract that defines what context may be passed into a model call for persistent or session-level AI state. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Context Contract when the assistant reused earlier project context, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Fallback Path": Memory Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for persistent or session-level AI state. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Fallback Path when the assistant reused earlier project context, so the team could avoid fake AI success before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Grounding Check": Memory Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for persistent or session-level AI state. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Grounding Check when the assistant reused earlier project context, so the team could reduce unsupported claims before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Human Approval": Memory Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for persistent or session-level AI state. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Human Approval when the assistant reused earlier project context, so the team could keep protected decisions accountable before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Image Hardening": Memory Image Hardening is a compute security practice that reduces risk inside packaged runtime images for volatile runtime storage. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Image Hardening when the process approached its memory limit, so the team could ship safer workloads before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Instruction Boundary": Memory Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for persistent or session-level AI state. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Instruction Boundary when the assistant reused earlier project context, so the team could avoid instruction confusion before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Isolation Boundary": Memory Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for volatile runtime storage. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Isolation Boundary when the process approached its memory limit, so the team could reduce cross-workload risk before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Memory Scope": Memory Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for persistent or session-level AI state. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Memory Scope when the assistant reused earlier project context, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Model Router": Memory Model Router is a ai selection service that chooses the best model or provider for a task for persistent or session-level AI state. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Model Router when the assistant reused earlier project context, so the team could match work to the right model before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Placement Strategy": Memory Placement Strategy is a compute scheduling rule that chooses where workloads should run for volatile runtime storage. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Placement Strategy when the process approached its memory limit, so the team could improve reliability and efficiency before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Resource Quota": Memory Resource Quota is a compute limit that sets how much compute a workload may consume for volatile runtime storage. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Resource Quota when the process approached its memory limit, so the team could protect shared capacity before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Response Schema": Memory Response Schema is a ai output contract that requires model output to match a known structure for persistent or session-level AI state. It uses JSON schemas, validators, retries, and error reporting so teams can make responses machine-readable while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Response Schema when the assistant reused earlier project context, so the team could make responses machine-readable before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Runtime Profile": Memory Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for volatile runtime storage. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The platform engineering team used Memory Runtime Profile when the process approached its memory limit, so the team could target optimization work before the workload scaled up.”

机器辅助翻译草稿 (Chinese) for "Memory Safety Filter": Memory Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for persistent or session-level AI state. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Memory Safety Filter when the assistant reused earlier project context, so the team could keep outputs public-safe before the agent workflow reached production.”

机器辅助翻译草稿 (Chinese) for "Memory Scope Capability": The Memory Scope Capability is a declared agent feature used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

“示例草稿: The agent relied on the Memory Scope Capability to understand which PlatPhorm tools were safe to call for article discovery.”

机器辅助翻译草稿 (Chinese) for "Memory Scope Prompt": The Memory Scope Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

“示例草稿: The agent relied on the Memory Scope Prompt to understand which PlatPhorm tools were safe to call for article discovery.”

机器辅助翻译草稿 (Chinese) for "Memory Scope Resource": The Memory Scope Resource is a readable MCP resource used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

“示例草稿: The agent relied on the Memory Scope Resource to understand which PlatPhorm tools were safe to call for article discovery.”

机器辅助翻译草稿 (Chinese) for "Memory Scope Run": The Memory Scope Run is a execution instance used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

“示例草稿: The agent relied on the Memory Scope Run to understand which PlatPhorm tools were safe to call for article discovery.”

机器辅助翻译草稿 (Chinese) for "Memory Scope Tool": The Memory Scope Tool is a callable agent function used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

“示例草稿: The agent relied on the Memory Scope Tool to understand which PlatPhorm tools were safe to call for article discovery.”