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Concept List: Token Optimization

This is the enumerated concept list for the Token Optimization course. Each concept has a unique ConceptID (1-470) used throughout the learning graph.

  1. Generative AI
  2. Large Language Model
  3. Foundation Model
  4. Transformer Architecture
  5. Autoregressive Generation
  6. Token
  7. Input Token
  8. Output Token
  9. Cached Token
  10. Reasoning Token
  11. Token Count
  12. Tokenizer
  13. Byte Pair Encoding
  14. SentencePiece
  15. Vocabulary Size
  16. Context Window
  17. Context Length
  18. Prompt
  19. System Prompt
  20. User Message
  21. Assistant Message
  22. Conversation Turn
  23. Multi-Turn Dialogue
  24. Streaming Response
  25. Stop Sequence
  26. Max Tokens Parameter
  27. Temperature
  28. Top P Sampling
  29. Logprobs
  30. Model Family
  31. Subword Tokenization
  32. BPE Merge Rules
  33. Tiktoken Library
  34. Claude Tokenizer
  35. Gemini Tokenizer
  36. Token-To-Char Ratio
  37. Whitespace Handling
  38. Unicode Normalization
  39. Special Tokens
  40. End-Of-Sequence Token
  41. Beginning-Of-Sequence Token
  42. Padding Token
  43. Token Boundary
  44. Pre-Tokenization
  45. Cross-Vendor Tokenizer Drift
  46. Token Counting API
  47. Local Token Estimation
  48. Token Count Caching
  49. Code Tokenization
  50. Multilingual Tokenization
  51. Per-Million-Token Price
  52. Input Token Price
  53. Output Token Price
  54. Cached Input Price
  55. Output Premium
  56. Unit Economics
  57. Cost Per Request
  58. Cost Per Feature
  59. Cost Per User
  60. Cost Per Outcome
  61. Cost Attribution
  62. Token Budget
  63. Monthly Token Spend
  64. Forecasting Token Cost
  65. Cost-Quality Tradeoff
  66. Cost-Latency Tradeoff
  67. Pareto Frontier
  68. Pricing Tier
  69. Volume Discount
  70. Batch Discount
  71. Enterprise Pricing
  72. Free Tier Limit
  73. Rate Limit
  74. Quota Management
  75. Burn Rate
  76. Anthropic API
  77. Claude Messages API
  78. Claude Model Family
  79. Claude Opus
  80. Claude Sonnet
  81. Claude Haiku
  82. Anthropic SDK
  83. API Key Management
  84. Anthropic Prompt Caching
  85. Cache Control Parameter
  86. Cache Breakpoint
  87. Cache TTL
  88. Cache Read Tokens
  89. Cache Write Tokens
  90. Extended Thinking
  91. Thinking Token Budget
  92. Claude Tool Use
  93. Tool Definition Schema
  94. Tool Result Block
  95. Message Content Block
  96. Anthropic System Prompt
  97. Stop Reason
  98. Anthropic Streaming
  99. Anthropic Batch API
  100. Claude Vision Input
  101. OpenAI API
  102. Chat Completions API
  103. OpenAI Responses API
  104. OpenAI Model Family
  105. GPT Model Series
  106. OpenAI O Series
  107. Reasoning Model
  108. OpenAI SDK
  109. Function Calling
  110. Tool Choice Parameter
  111. JSON Mode
  112. Structured Outputs
  113. Response Format
  114. OpenAI Streaming
  115. OpenAI Batch API
  116. OpenAI Embeddings
  117. OpenAI Fine Tuning
  118. OpenAI Vision
  119. Logit Bias
  120. Seed Parameter
  121. Token Usage Object
  122. Prompt Tokens Field
  123. Completion Tokens Field
  124. Total Tokens Field
  125. OpenAI Rate Limits
  126. Google Gemini API
  127. Gemini Model Family
  128. Gemini Pro
  129. Gemini Flash
  130. Gemini Ultra
  131. Gemini SDK
  132. Long Context Window
  133. One Million Context
  134. Gemini Function Calling
  135. Gemini Tool Config
  136. Gemini Streaming
  137. Gemini Batch Mode
  138. Gemini Caching
  139. Vertex AI
  140. Google AI Studio
  141. Gemini Safety Settings
  142. Gemini Multimodal Input
  143. Gemini Code Execution
  144. Gemini Grounding
  145. Gemini Token Counting
  146. AI Coding Harness
  147. Agentic Loop
  148. Tool Use Loop
  149. Claude Code
  150. Claude Code Session
  151. Claude Code Hooks
  152. OpenAI Codex CLI
  153. Codex Session
  154. Google Antigravity
  155. Antigravity Workspace
  156. Harness System Prompt
  157. Harness Token Overhead
  158. Session Token Accumulation
  159. Per-Session Token Cost
  160. Conversation Compaction
  161. Auto Compaction
  162. Manual Compaction
  163. Tool Call Iteration
  164. Multi-Step Reasoning
  165. Subagent Pattern
  166. Agent Memory
  167. Persistent Memory File
  168. Working Directory Context
  169. File Read Tool
  170. File Edit Tool
  171. Skill
  172. Skill Description
  173. Skill Body
  174. Skill Trigger
  175. Skill Invocation
  176. Skill Frontmatter
  177. Skill Bundle
  178. Bundled Script
  179. Skill Asset File
  180. Lazy Skill Loading
  181. Eager Skill Listing
  182. Task Decomposition
  183. Task-Skill Binding
  184. Skill Selection
  185. Skill Misfire
  186. False Positive Trigger
  187. False Negative Trigger
  188. Trigger Precision
  189. Skill Library
  190. Anthropic Skill Format
  191. Script Delegation
  192. Shell Script Skill
  193. Python Script Skill
  194. Skill Refactoring
  195. Token Reduction Ratio
  196. Structured Logging
  197. Log Schema Design
  198. Log Line
  199. JSON Log Format
  200. Log Field
  201. Required Log Field
  202. Optional Log Field
  203. Model Field
  204. Prompt Hash
  205. Input Token Field
  206. Output Token Field
  207. Cached Token Field
  208. Latency Field
  209. Cost Field
  210. Feature Tag
  211. User Identifier
  212. Outcome Field
  213. Trace Identifier
  214. Span Identifier
  215. Request Identifier
  216. Session Identifier
  217. PII Redaction
  218. Prompt Truncation In Logs
  219. Log Sampling
  220. Log Retention Policy
  221. Observability
  222. OpenTelemetry
  223. OTel LLM Conventions
  224. Metric
  225. Counter Metric
  226. Histogram Metric
  227. Dashboard
  228. Cost Dashboard
  229. Hit Rate Dashboard
  230. Latency Dashboard
  231. Token Volume Chart
  232. Time Series Aggregation
  233. Anomaly Detection
  234. Alerting Rule
  235. Token Spike Alert
  236. Cost Threshold Alert
  237. Cardinality Concern
  238. Aggregation Period
  239. Drill-Down Analysis
  240. Cross-Service Tracing
  241. Log File Analysis
  242. Log Aggregation
  243. Top-N Cost Drivers
  244. Pareto Analysis
  245. Outlier Detection
  246. Runaway Prompt
  247. Pathological Agent Loop
  248. Cost Hotspot
  249. Per-Feature Cost Roll-Up
  250. Per-User Cost Roll-Up
  251. Per-Model Cost Roll-Up
  252. Prompt Template Grouping
  253. Cohort Analysis
  254. Funnel Analysis
  255. Histogram Of Token Counts
  256. P50 Token Usage
  257. P95 Token Usage
  258. P99 Token Usage
  259. Long-Tail Cost
  260. Analysis Notebook
  261. A/B Testing
  262. Hypothesis
  263. Null Hypothesis
  264. Control Group
  265. Treatment Group
  266. Traffic Split
  267. Random Assignment
  268. Stratified Assignment
  269. Primary Metric
  270. Guardrail Metric
  271. Quality Metric
  272. Cost Metric
  273. Latency Metric
  274. Satisfaction Metric
  275. Sample Size Calculation
  276. Statistical Power
  277. Statistical Significance
  278. P-Value
  279. Confidence Interval
  280. Effect Size
  281. Stopping Rule
  282. Sequential Testing
  283. Multi-Armed Bandit
  284. CUPED Adjustment
  285. Novelty Effect
  286. Prompt Engineering
  287. System Prompt Hygiene
  288. Instruction Compression
  289. Few-Shot Example
  290. Few-Shot Pruning
  291. Zero-Shot Prompting
  292. Chain Of Thought
  293. Dead Context
  294. Redundant Instruction
  295. Verbose Boilerplate
  296. Prompt Template
  297. Template Versioning
  298. Prompt Variable
  299. Variable Interpolation
  300. Prompt Compression Tool
  301. Selective Compression
  302. Prompt Length Budget
  303. Output Length Budget
  304. Concise Output Instruction
  305. Token-Aware Rewriting
  306. Whitespace Stripping
  307. Comment Removal
  308. Schema Minimization
  309. Symbol Substitution
  310. Reusable Prompt Block
  311. Prompt Caching
  312. Cache Key
  313. Cache Hit
  314. Cache Miss
  315. Cache Hit Rate
  316. Cache Warming
  317. Cache Invalidation
  318. Cache Invariant
  319. Stable Prefix
  320. Volatile Suffix
  321. Cache Boundary
  322. Cross-Vendor Caching
  323. Cache Cost Savings
  324. Cache Monitoring
  325. Cache Hit Rate Metric
  326. Cache Eviction
  327. Implicit Caching
  328. Explicit Caching
  329. Cache Aware Routing
  330. Cache Stampede
  331. Retrieval Augmented Generation
  332. Embedding
  333. Vector Database
  334. Chunking
  335. Chunk Size
  336. Chunk Overlap
  337. Top-K Retrieval
  338. Reranker
  339. Cross-Encoder Reranker
  340. Retrieval Score
  341. Context Injection
  342. Retrieved Context Bloat
  343. Context Pruning
  344. Hybrid Retrieval
  345. BM25 Retrieval
  346. Dense Retrieval
  347. Query Rewriting
  348. HyDE
  349. Document Compression
  350. Summarization-Based RAG
  351. Citation Of Sources
  352. RAG Cost Analysis
  353. Context Quality Metric
  354. Retrieval Precision
  355. Retrieval Recall
  356. Context Window Budget
  357. Sliding Window
  358. Conversation Summarization
  359. Compaction Strategy
  360. Hierarchical Summary
  361. Memory File
  362. Long-Term Memory
  363. Short-Term Memory
  364. Context Truncation
  365. Pre-Send Token Counting
  366. Context Quality Decay
  367. Lost-In-The-Middle
  368. Context Reordering
  369. Selective Context Inclusion
  370. Context Eviction Policy
  371. Model Routing
  372. Cheap-First Cascade
  373. Escalation Trigger
  374. Confidence Threshold
  375. Quality Gate
  376. Fallback Model
  377. Cross-Vendor Routing
  378. Task Classifier
  379. Difficulty Estimation
  380. Routing Policy
  381. Routing Cost Savings
  382. Routing Quality Risk
  383. Per-Task Model Selection
  384. Vendor Lock-In Risk
  385. Vendor-Neutral Abstraction
  386. Max Tokens Setting
  387. Stop Sequence Setting
  388. Length Penalty
  389. JSON Schema Output
  390. Concise Mode
  391. Verbosity Parameter
  392. Reasoning Budget
  393. Thinking Token Limit
  394. Truncation Detection
  395. Streaming Cancellation
  396. Early Stopping
  397. Output Postprocessing
  398. Output Validation
  399. Schema Enforcement
  400. Reasoning Effort Setting
  401. Agent Budget Policy
  402. Per-Session Token Budget
  403. Per-Session Tool Call Budget
  404. Loop Iteration Limit
  405. Wall Clock Limit
  406. Cost Cap
  407. Graceful Degradation
  408. Budget Exhaustion Handling
  409. Runaway Detection
  410. Circuit Breaker Pattern
  411. Tool Call Throttling
  412. Subtask Budget Allocation
  413. Budget Audit Log
  414. Budget Reporting
  415. Per-Engineer Budget
  416. Per-Repository Budget
  417. Per-PR Budget
  418. Budget Notification
  419. Manager Weekly Report
  420. Budget Versus Outcome
  421. Batch API
  422. Asynchronous API
  423. Batch Job Submission
  424. Batch Job Status
  425. Batch Window
  426. Batch Discount Rate
  427. Batch Versus Synchronous
  428. Throughput Optimization
  429. Latency Tolerance
  430. Job Queue
  431. Result Polling
  432. Webhook Notification
  433. Idempotency Key
  434. Retry Policy
  435. Backoff Strategy
  436. Data Privacy
  437. PII Detection
  438. Sensitive Field Redaction
  439. Compliance Risk
  440. GDPR
  441. HIPAA
  442. SOC2 Audit
  443. Data Residency
  444. Vendor Data Retention
  445. Opt-Out Of Training
  446. Logging Privacy Risk
  447. Hashing Sensitive Strings
  448. Tokenized Identifier
  449. Audit Trail
  450. Anonymization Strategy
  451. Baseline Cost Measurement
  452. Optimization Hypothesis
  453. Quality Regression Detection
  454. Before-After Report
  455. Optimization Backlog
  456. Cost Reduction Target
  457. Pilot Rollout
  458. Canary Deployment
  459. Token Dashboard Project
  460. Vendor-Neutral Logging Project
  461. Skill Refactor Project
  462. Budget Policy Document
  463. Engineering Manager Review
  464. Cost Reduction Postmortem
  465. Reproducible Benchmark
  466. Eval Suite
  467. Golden Test Set
  468. Regression Test Loop
  469. Continuous Cost Monitoring
  470. Token Efficiency Roadmap
  471. 5-Hour Limit
  472. Weekly Limit
  473. Serial Execution
  474. Parallel Execution
  475. Parallel Token Penalty