Claude Seekho

A-Z Glossary

All the important terms in one place, to scan in 5 minutes before the interview.

TermMeaning
Adaptive thinkingClaude decides for itself how much to think; thinking: {type: "adaptive"}
AgentAn LLM that uses tools in a loop and decides the next step itself
Agent SDKClaude Code's harness as a Python/TS library
ArtifactCode/page/document/app built in a separate window in claude.ai
ASLAI Safety Level: the safety tiers of the RSP
Batch APIAsync requests, 50% cheaper
Cache breakpointA cache_control marker; the prefix up to here is cached
CitationsExact quotes/pages from the document along with the answer
CLAUDE.mdClaude Code's project memory file
CompactionA server-side summary of the old conversation
Computer useLooking at screenshots and driving the mouse/keyboard
Constitutional AISelf-critique based on principles + RLAIF training
Context editingClearing old tool results/thinking
Context windowMax tokens in one request (input + output)
Effortlow/medium/high/xhigh/max: how much effort/how many tokens
EmbeddingsA numeric vector of text (for semantic search)
EvalA test suite that measures LLM output quality
Few-shotGiving examples in the prompt
HallucinationConfident but wrong output
HookDeterministic code on a lifecycle event (Claude Code / Agent SDK)
IChatClientThe common chat interface of .NET Microsoft.Extensions.AI
ITPM / OTPM / RPMInput tokens / output tokens / requests per minute limits
Managed AgentsAnthropic-hosted agent loop + sandbox
MCPModel Context Protocol: the standard between AI apps ↔ tools/data
Memory toolRemembering via client-side /memories files
Plan modeClaude Code's read-only planning mode
PluginA bundle of commands + agents + skills + hooks + MCP
PrefillStarting the assistant turn yourself; removed on newer models
Prompt cachingMaking a repeated prefix cheaper and faster
Prompt injectionMalicious instructions hidden in data
RAGRetrieve relevant docs → into the prompt → grounded answer
Refusalstop_reason: refusal: the safety classifier declined
RLHF / RLAIFReinforcement learning from human / AI feedback
RSPResponsible Scaling Policy
SkillSKILL.md + files; procedural knowledge loaded on demand
SSEServer-Sent Events: the streaming format
stop_reasonWhy the response stopped (end_turn, max_tokens, tool_use...)
Structured outputsA guaranteed format via JSON schema
SubagentA specialized worker agent with its own context window
System promptA top-level instruction that sets role/rules
TokenA small unit of text; billing and limits are based on it
Tool RunnerAn SDK helper that runs the tool-use loop
Tool useClaude calling functions/APIs
VaultSecrets in Managed Agents that are not visible in the sandbox
ZDRZero Data Retention