Layers and planes
Every component, grouped by layer. This is the table view of the graph.
Orchestration (122)
Component of the agent runtime: control loops, state management, workflow graphs, multi-agent coordination.
| Component | Kind | Definition |
|---|---|---|
| Agent Action Output Parser | Software component | A parsing component that extracts the next tool call, its input, or the final answer from free-text model output in a prescribed reasoning format, returning malformed output to the model with error feedback for retry. |
| Agent Capability Registry | Data store | A directory in which agents advertise capability metadata (skills, limits, accuracy, latency, cost) for runtime discovery by collaborators. |
| Agent Communication Topology | Data artifact | A declarative graph (e.g., adjacency matrix) specifying which agents participate and which may exchange messages in a multi-agent workflow. |
| Agent Context Budget Coordinator | Software component | A non-reasoning coordinator agent that estimates each subtask's token needs, assigns working-memory budgets to worker agents, monitors their utilization, and reallocates capacity between them. |
| Agent Controller abstract | Software component | An abstract agent runtime that runs the control loop deciding, for one agent, how reasoning, tool actions, and observations are sequenced toward a goal. |
| Agent Delegation Interface abstract | Interface | An inter-agent interface through which one agent hands a task, with structured context, to another agent. |
| Agent Dependency Graph | Data artifact | A declared directed acyclic graph of which agents consume which other agents' outputs in a workflow, from which topologically sorted execution phases are derived. |
| Agent Message Bus abstract | Software component | A communication medium that transports messages or events between agents in a multi-agent system. |
| Agent Message Contract | Data artifact | A versioned specification of the data format, units, field names and semantic meaning of messages exchanged between agents. |
| Agent Responsibility Matrix | Data artifact | A declaration of which agent types hold authority over which decision domains in a multi-agent system, with explicit protocols for transferring responsibility. |
| Agent State Schema | Data artifact | A typed data contract declaring every field that must persist across workflow steps, with its type, semantics, and accumulation behaviour. |
| Agent Workflow Configuration | Data artifact | A declarative configuration file selecting the LLM, tools, and workflow composing an agent. |
| Asynchronous Dependency-Chaining Executor | Software component | A dependency-ordered executor that spawns all agents at once and has each await futures for its own dependencies, so an agent starts as soon as its specific prerequisites complete. |
| Auction Task Allocator | Software component | A market-inspired task allocator that collects agent bids and awards each task to the best combination of accuracy, availability and cost. |
| Batch Extraction Policy | Data artifact | An extraction cadence configuration that runs extraction periodically (e.g., hourly or daily) over the changes accumulated since the last run. |
| CRDT State Merger | Software component | A state concurrency controller that represents state as conflict-free replicated data types so concurrent updates always converge. |
| Capability Tier Map | Data artifact | A declaration classifying an agent's capabilities as core or auxiliary and defining the degradation levels and the dependencies each level requires. |
| Capability-Matching Allocator | Software component | A task allocator that queries advertised agent capabilities and selects a collaborator based on current load, historical accuracy or cost. |
| Clarification Fallback Policy | Data artifact | A configuration defining the ordered clarification stages (open-ended question, targeted options, guided examples) and the attempts allowed before escalation. |
| Clarification Manager | Software component | A dialogue-control component that, when intent inference is ambiguous or low-confidence, asks progressively more structured follow-up questions to resolve the user's intent. |
| Communication Topology Optimizer | Software component | An optimisation component that analyses multi-agent interactions to identify redundant agents and communication edges and derives a minimal-communication coordination graph. |
| Content-Based Event Router | Software component | An event broker that matches event content and metadata against filtering rules and delivers each event, optionally transformed, to the targets whose rules it satisfies. |
| Conversational Agent Coordinator | Software component | A workflow orchestrator in which autonomous agents, each keeping its own message history and auto-reply behaviour, advance work through natural-language message exchange rather than predefined control flow. |
| Database State Store | Data store | A state checkpoint store that persists workflow state durably in a database. |
| Dead Letter Queue | Data store | A holding store for poison messages that repeatedly fail processing, isolating them from healthy traffic. |
| Deadlock Controller abstract | Software component | An abstract coordination component that keeps multi-agent workflows free of circular waits in which each agent blocks on another's output. |
| Deferred Batch Scheduler | Software component | A scheduling component that accumulates non-urgent agent queries and executes them in large batches during off-peak windows when discounted rates or spare capacity are available. |
| Dependency Cycle Validator | Software component | A configuration-time validator that rejects any declared inter-agent dependency that would close a cycle, using depth-first search with a recursion stack so the dependency graph remains acyclic. |
| Dependency-Ordered Executor abstract | Software component | An abstract workflow orchestrator that starts each agent only after all of its declared dependencies have completed, externally imposing execution order regardless of agent logic. |
| Dialogue Flow Manager | Software component | An orchestration component that manages multi-turn dialogue, tracking turn context and allowing users to digress from an in-progress task flow and later resume it where it paused. |
| Direct Tool-Calling Controller | Software component | An agent controller that maps a request directly to one or a few structured tool calls without iterative reasoning loops or upfront planning. |
| Discoverable Delegation Interface | Interface | A delegation interface whose agent advertises capabilities (e.g., via an Agent Card) so collaborators can discover and select it at runtime. |
| Distributed Cache State Store | Data store | A state checkpoint store that holds workflow state in a distributed in-memory cache accessible to multiple agents or instances. |
| Durable State Machine Orchestrator | Software component | A workflow orchestrator that coordinates sequences of stateless function invocations as a durable state machine, persisting state between steps and retrying failed steps with exponential backoff. |
| ETL Checkpoint Store | Data store | A store of periodic progress checkpoints of a long-running transformation, enabling a failed ETL run to restart from its last checkpoint. |
| ETL Pipeline Configuration | Data artifact | A centralized configuration of source connections, chunking parameters, quality filters, vector store settings and incremental-update settings for an ETL pipeline. |
| Event Broker abstract | Software component | An asynchronous infrastructure that decouples event publishers from subscribers so agents react to state-change events without direct addressing. |
| Event Retention Policy | Data artifact | A configuration artifact specifying how long events remain available in an event log (hours, days, or indefinitely) for replay and reprocessing. |
| Event Stream Log | Software component | An event broker built on an immutable, partition-ordered event log supporting replay, temporal queries and auditing. |
| Event-Triggered Agent | Software component | A stateless agent function that stays dormant until a subscribed event arrives, reconstructs context from the event payload and external stores, acts, and emits result events for downstream agents. |
| Execution Timeout Policy | Data artifact | A configuration artifact fixing the maximum wall-clock execution time an agent run may consume before it is terminated. |
| Extraction Cadence Policy abstract | Data artifact | An abstract configuration choosing whether a pipeline extracts source data in periodic batches or continuously as it arrives. |
| Failure Routing Policy | Data artifact | A declarative priority cascade and threshold set (severity, predictability, scope fraction, time budget) mapping failure characteristics to replanning layers. |
| Fallback Work Queue | Data store | A queue holding work items the orchestrator could not complete (e.g., after an agent failure) for deferred or manual handling. |
| Findings Synthesis Agent | Software component | An agent that receives the reports of several specialist agents after they complete and integrates their possibly contradictory findings into consolidated conclusions and recommendations. |
| Fixed Subtask Initiative Controller | Software component | A mixed-initiative controller that assigns pre-designated workflow stages to agent or human ownership and halts at human-owned stages to request human judgment. |
| Full Refresh Policy | Data artifact | A refresh configuration that reprocesses all historical source data into the knowledge base. |
| Function Choice Policy | Data artifact | A configuration artifact constraining which functions an LLM orchestrator may or must call: fully automatic, required invocation of specific functions, or filtering to selected capability domains. |
| Function-Calling Controller | Software component | An agent controller that presents all registered function specifications to an LLM and lets model-native function calling choose, parameterize, order or parallelize function invocations, adapting to returned results. |
| Graceful Degradation Manager | Software component | A control component that selects the highest capability level still supported by healthy dependencies, disabling auxiliary capabilities while preserving core ones and labelling results with degradation status. |
| Graph State Store | Data store | A state store that records agent state transitions as nodes and edges in a knowledge graph, enabling relational queries over state. |
| Human Proxy Agent | Software component | A conversational agent acting on the user's behalf that validates other agents' proposed solutions by executing their code and reporting results back as conversational messages. |
| Hybrid Transition Router | Software component | A transition router in which LLM reasoning proposes the next operation within bounds enforced by explicit rules. |
| Idempotency Store | Data store | A record of processed message identifiers that lets consumers detect and discard duplicate deliveries. |
| In-Memory State Store | Data store | A state checkpoint store that keeps workflow state in the agent process's memory for the duration of a task. |
| Incremental Refresh Policy | Data artifact | A refresh configuration that processes only records new or changed since the last successful run's watermark. |
| Incremental Watermark Store | Data store | A persistent record of the last successful extraction timestamp of a pipeline, used to bound the next incremental extraction window. |
| Ingestion Pipeline Orchestrator | Software component | A workflow orchestrator that sequences multimodal document ingestion stages (extraction, modality routing, model processing, chunking, embedding, storage), applying retries and fallbacks when model services time out. |
| Intent Router | Software component | A classifier agent that determines request intent and routing category, attaching a confidence score used for escalation. |
| Intent Taxonomy | Data artifact | A catalogue of discrete user-intent categories, aligned with actual user needs, each mapped to a distinct handling pathway. |
| Iteration Limit Policy | Data artifact | A configuration artifact fixing the hard maximum number of reasoning or tool iterations an agent may execute before forced termination. |
| Iterative Refinement Coordinator | Software component | A coordinator that runs repeated bidirectional exchange cycles between neural and symbolic components, feeding symbolic hypotheses back as attention cues, until confidence, diminishing-returns, or iteration-limit criteria are met. |
| Knowledge Refresh Policy abstract | Data artifact | An abstract configuration choosing whether a pipeline run processes only the delta since the last successful run or reprocesses the full corpus. |
| LLM Transition Router | Software component | A transition router that asks an LLM to reason about which operation to perform next given current state. |
| Message Queue | Software component | An event broker providing FIFO buffering between publishers and consumers so publishers continue without waiting. |
| Message Schema Validator | Software component | A boundary check that validates inter-agent messages against their contract before they are consumed. |
| Mixed-Initiative Controller abstract | Software component | An abstract controller that determines which party, agent or human, holds initiative at each point of a shared task and how control transfers between them. |
| Multi-Agent Coordinator abstract | Software component | An abstract coordination component that determines how, and in what order, specialised agents contribute to a shared multi-agent goal. |
| Negotiated Initiative Controller | Software component | A mixed-initiative controller with no pre-assigned ownership that continuously assesses its capability, capacity and confidence and takes or yields initiative, requesting human input when confidence drops below threshold. |
| Optimistic Lock Controller | Software component | A state concurrency controller in which instances detect update conflicts at write time and retry. |
| Parallel Agent Coordinator | Software component | A workflow orchestrator that runs multiple specialised agents concurrently over references to the same source context and passes their outputs to a downstream reviewer, instead of sequential handoffs that restate context. |
| Pessimistic Lock Controller | Software component | A state concurrency controller in which instances acquire exclusive locks on workflow state before modifying it. |
| Phase Barrier Executor | Software component | A dependency-ordered executor that runs topologically sorted phases in sequence, executing agents within a phase in parallel and blocking at a barrier until all have completed before starting the next phase. |
| Pipeline Scheduler | Software component | A scheduling component that triggers ETL pipeline runs at fixed intervals such as hourly or daily. |
| Plan-and-Execute Controller | Software component | An agent controller that separates strategic planning from tactical execution, coordinating a planner, an executor, and a replanner around an explicit multi-step plan. |
| Plugin Kernel Orchestrator | Software component | A central workflow orchestrator that manages service registration, dependency injection and plugin discovery, and routes each request to registered plugin functions selected by LLM-driven function calling. |
| Proactive Agent | Software component | An agent that continuously senses user, historical and environmental context and initiates interventions or actions without an explicit user request, based on predicted needs (push-based rather than pull-based interaction). |
| Prompt Chain Orchestrator | Software component | A workflow orchestrator that executes a fixed linear sequence of LLM calls in which each call's output becomes the next call's input. |
| Publish-Subscribe Bus | Software component | An event broker that broadcasts each event to all subscribers of its topic. |
| RAG Query Orchestrator | Software component | A stateless query-time service that sequences cache lookup, retrieval, reranking, context assembly and grounded generation for each RAG request, recording per-stage timing, token usage and cache status. |
| ReAct Agent Controller | Software component | An agent controller that interleaves explicit Thought, Action, and Observation steps in a loop, choosing each tool call dynamically from prior observations until an answer or iteration limit. |
| Reflection Loop Orchestrator | Software component | A coordinator that manages the generate-critique-refine cycle between producer and reflection agents and decides when output quality is sufficient to stop. |
| Replanning Layer Arbiter | Software component | An orchestration component that resolves conflicting outputs of concurrently running replanning layers by precedence, recency and specificity, installing one active plan and retaining others as fallbacks. |
| Replanning Precedence Policy | Data artifact | A configuration defining the precedence order of replanning layers (reactive > contingency > incremental > strategic) and tie-break rules for conflicting plans. |
| Replanning Strategy Router | Software component | An orchestration component that classifies each significant failure by severity, predictability, scope and time budget and routes it to the reactive, contingency, incremental or strategic replanning layer. |
| Request Intake Agent | Software component | A front-of-workflow agent that receives user requests, validates them and enriches them with account context before downstream processing. |
| Role-Based Task Orchestrator | Software component | A workflow orchestrator that executes predefined tasks assigned to role-defined agents, either sequentially with task-output context inheritance or hierarchically through a manager agent that delegates and reviews. |
| Rule-Based Intent Classifier | Software component | A deterministic rule-based classifier used as fallback when the model-based classifier fails. |
| Rule-Based Transition Router | Software component | A transition router that applies explicit, deterministic decision rules over state fields to select the next workflow operation. |
| Runtime Deadlock Detector | Software component | A runtime monitor that periodically scans active agents for circular wait conditions and flags deadlocks after they have formed. |
| Schema Registry | Data store | A repository of versioned message and event schemas used to validate inter-agent communication. |
| Serialized File State Store | Data store | A state store serializing agent state to files such as JSON. |
| Shared Blackboard Store | Data store | A common memory space to which agents publish hypotheses, evidence and results and from which they consume others' contributions, enabling implicit, opportunistic coordination. |
| Shared Message History | Data store | An append-only conversation transcript shared by all participants in a multi-agent dialogue, holding every agent's messages as the common coordination context. |
| Stalled Workflow Resumer | Software component | A monitoring function that detects agent workflows left incomplete by function timeouts or interruptions and resubmits continuation events that resume them from the last checkpoint. |
| State Checkpoint Store abstract | Data store | A database to which a checkpointer persists agent/thread state so conversations can resume across sessions, restarts and idle periods. |
| State Concurrency Controller abstract | Software component | A coordination mechanism that keeps shared workflow state consistent when multiple agent instances update it concurrently. |
| State Cycle Detector | Software component | A loop-protection component that hashes key state fields each iteration and flags a cycle when a previously seen state hash recurs. |
| State Merge Policy | Data artifact | A configuration of how a writer reconciles its intended state changes with changes committed since its read—merging disjoint partitions automatically and applying application-specific rules or manual review for same-field conflicts. |
| State-Graph Orchestrator | Software component | A workflow orchestrator that executes an agent as an explicit state machine: states as graph nodes, transitions as edges, actions as node functions applied to typed state. |
| Static Delegation Interface | Interface | A delegation interface using RESTful, MIME-extensible task handoffs to known agents with context maintained across interactions. |
| Static Rule Task Router | Software component | A task allocator that assigns tasks using predetermined routing rules or tables. |
| Streaming Extraction Policy | Data artifact | An extraction cadence configuration that processes source data in real time as it arrives. |
| Subdialogue Initiative Controller | Software component | A mixed-initiative controller in which the agent temporarily takes limited initiative to ask clarifying questions or correct misunderstandings, then returns control once the uncertainty is resolved. |
| Supervisor Agent | Software component | An agent that plans tasks for, and assigns tools and subtasks to, specialised worker agents in a hierarchical architecture. |
| Swarm Agent | Software component | A simple agent that applies local behavioural rules to neighbour state and local signals, producing emergent group behaviour without global knowledge. |
| Synchronous Message Channel | Software component | A point-to-point channel carrying explicitly addressed, performative-typed request-response messages with sender, receiver, content, ontology and conversation-id metadata. |
| Task Allocator abstract | Software component | A coordination component that decides which agent receives each task or resource in a multi-agent system. |
| Task Definition | Data artifact | A declarative specification of a discrete unit of multi-agent work: description, expected output, assigned role, required tools, and dependencies on upstream task outputs. |
| Task Queue | Data store | A shared queue that holds pending jobs and tasks so stateless replicas and specialised agent pools can coordinate work without affinity. |
| Task State Ledger | Data store | A shared record of task ownership, status and explicit completion flags across agents in a multi-agent workflow. |
| Termination Checker | Software component | A control component that evaluates end conditions, such as reviewer approval or a maximum round count, after each message to decide whether a multi-agent conversation stops. |
| Token Budget Enforcer | Software component | A control component that tracks a running task's token, step and cost consumption against its budget and halts, simplifies or reroutes the task when the budget is exceeded or the problem appears futile. |
| Token Budget Policy | Data artifact | A configuration artifact stating per-task-category token, step and cost-per-interaction budgets beyond which an agent run must degrade, stop or be escalated. |
| Transition Router abstract | Software component | A decision component that evaluates current workflow state against the logic tree to select the next node, tool, or sub-agent to execute. |
| Unsolicited Reporting Controller | Software component | A mixed-initiative controller in which the agent only reports critical information asynchronously as it arises, without blocking work or requiring acknowledgment, leaving all initiative with the recipient. |
| Value Sentinel Agent | Software component | A specialist agent in a multi-agent system that monitors one shared value dimension (e.g., supplier sustainability practices) and alerts peer agents to value-relevant risks before they commit local decisions. |
| Voice Turn Coordinator | Software component | A runtime component that sequences one spoken conversation turn: streams user audio to speech recognition, hands transcripts to the agent, and passes the agent's reply to speech synthesis. |
| Web Navigation Agent | Software component | An agent runtime that carries out multi-step web tasks by planning action sequences, selecting browser actions from the current page state, and tracking state across navigation steps until the user's goal state is reached. |
| Worker Agent abstract | Software component | A specialised agent that executes an assigned subtask, often owning a focused tool domain such as database or external-API tools. |
| Workflow Orchestrator abstract | Software component | An execution engine that carries a multi-step agent workflow forward by performing selected operations and writing their results back into explicit workflow state. |
| Workflow State Graph | Data artifact | A declarative workflow definition specifying nodes (states), edges and conditional edges (transitions), and entry point, kept separate from the state schema it operates on. |
Tools & Integration (51)
Component that lets agents act on external systems: tool registry, function calling, protocol adapters, execution and resilience.
| Component | Kind | Definition |
|---|---|---|
| API Description Document | Data artifact | A machine-readable REST API description specifying operations, HTTP methods, paths, parameters, request and per-status-code response schemas, and authentication requirements. |
| Agent Service API abstract | Interface | A network API through which an agent exposes its capabilities as a distributed service to agents across platform, language or organisational boundaries. |
| Asynchronous Tool Dispatcher | Software component | A tool call dispatcher that submits tool calls to a background executor without blocking the serving loop, so GPU inference for other requests overlaps external tool latency. |
| Browser Navigator | Software component | A browser automation tool that performs page-level navigation actions such as click, type, and scroll on a web interface on behalf of an agent. |
| Cache Invalidation Policy abstract | Data artifact | An abstract configuration deciding when cached tool results become stale and must be refreshed, balancing result freshness against latency and cost savings. |
| Circuit Breaker | Software component | A resilience component that stops calls to a persistently failing external dependency to prevent cascading failure and enable graceful degradation. |
| Circuit Breaker Policy | Data artifact | A per-dependency configuration of failure-count or failure-rate thresholds, measurement window, recovery timeout, and half-open trial requests for a circuit breaker. |
| Code Dependency Analyzer | Software component | A static-analysis tool that derives which system components depend on a given code module and returns the dependency graph for inclusion in an agent's context. |
| Code Execution Runner | Software component | A tool that runs agent-generated code inside an isolated sandbox and returns its results. |
| Database Connector | Software component | A tool adapter granting direct query and update access to structured external data stores. |
| Dynamic Tool Loader | Software component | A prompt-preparation component that selects, per request, only the tool descriptions relevant to the current task and injects them into the model prompt. |
| Environmental Context Adapter | Software component | A connector that retrieves real-time external system states, such as inventory levels, traffic conditions, weather and market data, that bound which proactive actions and recommendations are feasible. |
| Event-Based Cache Invalidation Policy | Data artifact | A cache invalidation policy that evicts cached tool results when the upstream source signals that it has published updates. |
| External Service API | Interface | An external API (search, weather, flight search, database) that a tool wraps to give the agent current information or actions. |
| External Website | Interface | A third-party or internal web user interface (e-commerce, forum, code repository, CMS, internal IT system) that an agent navigates and transacts with in place of a human user. |
| Message Queue Adapter | Software component | A tool adapter that exchanges requests with external systems via a message queue that buffers and guarantees delivery. |
| Page Content Extractor | Software component | An information-extraction tool that reads visible text and extracts structured data such as tables from the current web page without modifying site state. |
| Parallel Tool Dispatcher | Software component | A component that runs independent tool calls concurrently and aggregates their results for the agent. |
| Parameter Slot Filler | Software component | A structured extraction component that fills a tool's parameter slots from natural-language user input using slot-filling rather than free-form model output. |
| Prompt Function Template | Data artifact | A natural-language prompt template with injectable variables and a fixed output structure that defines a semantic function's behaviour. |
| Provider Schema Compatibility Checker | Software component | A validation component that checks tool schemas against each target LLM provider's supported JSON Schema dialect before they are deployed. |
| REST API Adapter | Software component | A tool adapter that calls third-party services through HTTP REST or GraphQL endpoints. |
| REST Agent API | Interface | A resource-oriented, stateless HTTP/JSON API exposing agent capabilities as endpoints manipulated with standard HTTP methods. |
| Retry Handler | Software component | A resilience component that automatically re-attempts transiently failed tool or API calls using exponential backoff and reports attempt progress. |
| Retry Policy | Data artifact | A configuration artifact stating which error classes are retryable, the maximum attempts or per-node retry budget, base and maximum backoff delays, and jitter. |
| Sandbox Execution API | Interface | A remote API through which an agent submits generated code to an isolated sandbox service and receives the execution result. |
| Semantic Function | Software component | A callable capability function implemented as a parameterized natural-language prompt template executed by an LLM service, used for analysis, judgement or generation. |
| Sequential Tool Dispatcher | Software component | A tool call dispatcher that executes dependent tool calls one at a time, completing and validating each step before passing its output to the next. |
| Service Container | Software component | A dependency-injection container that registers shared services (AI model services, database connections, HTTP clients) and injects them into capability functions under central configuration. |
| Time-Based Cache Invalidation Policy | Data artifact | A cache invalidation policy that expires cached tool results after a fixed time-to-live or periodic refresh interval matched to the source's update cadence. |
| Tool Call Dispatcher abstract | Software component | An abstract execution component that schedules multiple model-proposed tool calls, either in dependency order or concurrently, and collects their results for the agent. |
| Tool Call Schema Validator | Software component | A deterministic validator that checks tool invocations and tool responses against the tool's formal schema: tool-name existence, required and extraneous parameters, types, format patterns, enumerations and ranges. |
| Tool Error Classifier | Software component | A post-execution component that classifies tool failures as transient (timeouts, temporary unavailability, rate limits) or permanent (invalid tool name, authentication failure, parameter validation error) to select the recovery path. |
| Tool Executor | Software component | The orchestration-layer component that validates model-proposed function calls against schemas, executes them in external systems, and returns structured results to the agent. |
| Tool Idempotency Guard | Software component | A guard that records successful invocations of side-effecting tools and blocks re-execution of a non-idempotent tool with identical parameters. |
| Tool Integration Adapter abstract | Software component | An abstract connector that binds a tool to an external system through a specific integration mechanism and returns structured results. |
| Tool Parameter Normalizer | Software component | A pre-invocation component that maps user or domain terminology variants extracted from requests to canonical tool parameter values before the tool call is executed. |
| Tool Precondition Checker | Software component | A workflow-level validator that verifies a tool's declared prerequisites (prior tool success, authentication, consent, resource existence and ownership) are satisfied before the tool executes. |
| Tool Protocol Client | Software component | A client that connects an agent to remote standard tool-protocol servers, discovers their tools at runtime and makes them invocable alongside local tools. |
| Tool Protocol Server | Interface | A standard protocol endpoint that exposes tools and external resources to agents with consistent access patterns across diverse tools. |
| Tool Registry | Data store | A structured inventory of available tools holding each tool's name, description, input/output schemas, and execution context such as permissions, rate limits, and invocation constraints. |
| Tool Response Plausibility Checker | Software component | A post-execution validator that applies domain knowledge and business rules to judge whether a schema-conformant tool result makes sense for the request (e.g., coordinates, result counts, value ranges). |
| Tool Result Cache | Data store | A store of previously retrieved tool or data-source results that serves as a degraded fallback when live sources fail or are unavailable. |
| Tool Result Transformer | Software component | An adapter that converts one tool's output into the data types, structure, and units required by the next tool's input schema in a chain. |
| Tool Schema | Data artifact | A typed, versioned contract describing a tool's parameters, types, constraints, and return values, used by the model to construct calls and by the executor to validate them. |
| Tool Schema Generator | Software component | A build-time component that automatically derives tool schemas from API description documents such as OpenAPI specifications. |
| Tool Selector | Software component | A software component that prioritizes candidate tools for a query using historical success on similar queries. |
| Tool Usage History Store | Data store | A graph-structured data store recording which tools solved which queries, with success, helpfulness, latency, and error properties. |
| Web Transaction Executor | Software component | A transaction-operation tool that mutates web-application state on an agent's behalf: submitting forms, authenticating, modifying carts, downloading files, and confirming purchases or payments. |
| Webhook Receiver | Software component | A tool adapter that receives event notifications from external systems and triggers agent workflows asynchronously. |
| gRPC Agent API | Interface | A service-oriented RPC API with strongly typed Protocol Buffer schemas over multiplexed HTTP/2, supporting unary and streaming modes. |
Cognition (211)
Component performing reasoning, planning, search, decision-making, or self-verification.
| Component | Kind | Definition |
|---|---|---|
| Action Effect Model | Data artifact | A planning-domain model describing how each action transforms state: its preconditions, expected effects, durations and costs, used to predict outcomes. |
| Action Model Learner | Software component | A learning component that detects systematic patterns in execution discrepancies and updates the action effect model's preconditions, effects or cost formulas. |
| Action Prior Estimator | Software component | A cognition component that serves policy-network action probabilities for newly expanded search nodes and learned rollouts, biasing exploration toward promising actions. |
| Adaptive Computation Router | Software component | A routing component that skips expensive symbolic reasoning when neural confidence is high on simple cases and invokes full symbolic validation when uncertainty is high. |
| Adaptive Sample Allocator | Software component | A cognition component that sets the number of reasoning samples per query from estimated difficulty and early vote agreement, stopping after a few unanimous samples or requesting more when votes diverge. |
| Auto-CoT Prompt | Data artifact | A chain-of-thought prompt whose demonstrations are automatically generated (clustered representative questions with zero-shot CoT rationales) and matched to each incoming question. |
| Bounded-Suboptimal Search Planner | Software component | A graph search planner that inflates the heuristic weight (g(n)+w*h(n), w>1) to expand fewer nodes, returning paths at most w times optimal cost. |
| Breadth-First Thought Search Controller | Software component | A tree search controller that expands the tree level by level, retaining only the b best-scored states at each depth before generating the next level. |
| Business Rule Logic Verifier | Software component | A reasoning verifier that checks whether agent conclusions satisfy business rules and domain constraints encoded as mathematical logic. |
| Chain-of-Thought Prompt abstract | Data artifact | A prompt artifact that elicits explicit, step-by-step intermediate reasoning from a model before it states its final answer, with or without worked demonstrations. |
| Circuit Reasoning Verifier | Software component | A reasoning verifier that builds computational graphs from model internal activations during reasoning and classifies correct versus incorrect reasoning by domain-specific structural fingerprints. |
| Citation Verifier | Software component | An evaluation component that checks whether claims attributed to cited sources actually appear in those sources, detecting fabricated citations and misrepresented content. |
| Cluster-Diverse Exemplar Selector | Software component | An exemplar selector that clusters candidate questions by problem type and samples a representative from each cluster to guarantee demonstration diversity. |
| CoT Rationale Generator | Software component | A generator that produces intermediate reasoning chains for selected demonstration questions via zero-shot chain-of-thought prompting, replacing manual authoring of reasoning exemplars. |
| Complete Replanner | Software component | A replanner that discards the current plan and regenerates a full plan from the actual current state to the goal using the standard planner. |
| Conditional Execution Plan | Data artifact | An execution plan containing a primary path plus explicit decision points whose observed conditions select pre-computed contingency branches. |
| Confidence Basis Explainer | Software component | An explanation component that turns a confidence score into its basis: the number of similar historical precedents, their outcomes, and the novel factor combinations that create uncertainty. |
| Confidence Calibrator | Software component | A component that adjusts raw model confidence to match empirical accuracy for the scenario type, lowering presented confidence where the model is known to be overconfident. |
| Confidence Estimator | Software component | A cognition component that computes a confidence score for an agent decision from evidence agreement and weighted factors, for user display and escalation decisions. |
| Conflict Resolution Policy abstract | Data artifact | An abstract configuration that determines which rule fires when several rules match the current facts simultaneously. |
| Constraint-Gated Decision Fusion | Software component | A decision fusion aggregator in which rule-based constraints act as hard filters: inputs passing all rules proceed to learned scoring, while violations are rejected regardless of other components' outputs. |
| Contextual Weight Adapter | Software component | A component that adjusts the objective weights of a utility function per decision according to current context such as user tenure, behaviour, time or operating conditions. |
| Contingency Branch Activator | Software component | A replanner that, when an observed condition matches a prepared failure signature, immediately switches execution to the corresponding pre-computed contingency branch. |
| Contingency Planner | Software component | A task planner that, at planning time, generates a primary plan plus pre-computed conditional branches for the most likely, high-impact failure modes. |
| Coreset Exemplar Pre-selector | Software component | An exemplar selector that pre-selects a compact core subset of highly informative demonstrations, keeping examples that are sufficient to solve tasks and discarding redundant ones. |
| Counterfactual Explainer | Software component | An explanation component that identifies which fact values would need to change, relative to rule condition thresholds, for a rule-based decision to come out differently. |
| Counterpart Response Predictor | Software component | A cognition component that predicts how a negotiation counterpart will respond to candidate proposals, informing the choice between collaborative and positional strategies. |
| Critique Rubric | Data artifact | A set of explicit evaluation criteria and reflection prompts that defines what a critic checks and how it judges output quality. |
| Cross-Source Consistency Verifier | Software component | A verification step that retrieves the same information from multiple reputable sources, compares them, and flags conflicts for manual review instead of answering confidently. |
| Decision Engine abstract | Software component | An abstract cognition component that selects which action an agent takes from the currently available options given its model of the current state. |
| Decision Explainer abstract | Software component | An abstract explanation component that generates a justification for a specific agent or model decision in terms understandable to its audience. |
| Decision Fusion Aggregator abstract | Software component | An abstract cognition component that combines conclusions produced independently and in parallel by different decision paradigms into one unified decision. |
| Decision Sensitivity Analyzer | Software component | An analysis component that re-evaluates decisions while varying probabilities, objective weights and risk parameters to reveal where the optimal choice changes. |
| Decomposition Method Library | Data artifact | A curated set of decomposition methods, each naming an abstract task, its applicability preconditions, the replacing subtask network, and ordering, resource and causal constraints. |
| Decomposition Prompt Template | Data artifact | A prompt template instructing the LLM to identify the distinct information needs in a user question and emit one focused, numbered sub-query per need. |
| Depth-First Thought Search Controller | Software component | A tree search controller that recursively explores the best-scored child first, backtracking to the next-best sibling when a branch falls below a value threshold or dead-ends. |
| Discrepancy Significance Evaluator | Software component | A cognition component that statistically tests flagged discrepancies against sensor-noise and actuator-variability models, accumulating drift, and triggers replanning only when thresholds are exceeded. |
| Dual-Agent Critic | Software component | A reflection critic implemented by a separate model or agent that critiques the producer's output, distinct from the generator. |
| Edge Cost Updater | Software component | A cognition component that applies incoming environment-change observations (e.g., traffic travel-time estimates, detected blockages) as edge-cost changes to the state-space graph. |
| Embedded Critical Checker | Software component | A self-contained last-resort checker that runs a small static set of critical checks requiring no external services when both LLM and rule-engine analysis are unavailable. |
| Entailment Model | Model asset | A model that determines whether one statement entails, contradicts, or is neutral to another. |
| Entailment Step Validator | Software component | A reasoning-step validator that checks whether a step's conclusion units are entailed by its premises and prior context, crediting the step when entailment probability exceeds a threshold. |
| Environment Simulator | Software component | A forward model that, given a state and action, returns legal actions, a sampled successor state (drawn from its outcome distribution when stochastic) and terminal status for planning simulations. |
| Episodic Anomaly Scorer | Software component | A cognition component that scores a new event's deviation from an entity's personal baseline by comparing it with the closest retrieved normal-pattern episodes across amount, time, counterparty and frequency signals. |
| Example-Based Explainer | Software component | A decision explainer that justifies a decision by retrieving the most similar historical cases and their outcomes. |
| Execution Plan abstract | Data artifact | An explicit, ordered or dependency-graph representation of the steps an agent will execute to achieve a goal. |
| Exemplar Selector abstract | Software component | An abstract component that chooses which demonstration examples from a demonstration pool are placed into a prompt, and in what order, for in-context learning. |
| Fact Contradiction Resolver | Software component | A cognition component that reconciles duplicate or contradictory derived facts in working memory according to a configured strategy before they are committed. |
| Factuality Verifier abstract | Software component | A semantic validation component that fact-checks generated claims against knowledge bases or retrieved evidence, producing correctness signals for runtime validation or reward computation. |
| Failure Analyzer | Software component | A cognition component that interprets verification failures, such as failed test output, into human-readable error analysis and categorized recurring error patterns that guide the next generation attempt. |
| Few-Shot CoT Prompt | Data artifact | A chain-of-thought prompt embedding a few hand-crafted example problems with complete step-by-step solutions that demonstrate the expected reasoning pattern before the target question. |
| Final Answer Extractor | Software component | A cognition component that extracts the final answer from each completed reasoning path so that answers from independently sampled paths can be compared and counted. |
| Fine-Tuned Step Verifier | Software component | A reasoning verifier backed by a model fine-tuned on labeled correct and incorrect reasoning steps of a specific domain, including fallacy-detection training. |
| Flat Planner | Software component | A task planner that treats every action as equally fundamental and searches sequences of primitive actions, typically under STRIPS/PDDL precondition-effect semantics, without intermediate abstract tasks. |
| Formal Proof Verifier | Software component | A reasoning verifier that translates agent reasoning into formal logical statements and checks them with a proof system, either proving correctness or pinpointing the violating step. |
| Geometric Distance Heuristic | Software component | A heuristic estimator that computes closed-form geometric distance (Manhattan, Euclidean or Chebyshev) from a state's coordinates to the goal's, assuming obstacle-free movement. |
| Goal Alignment Checker | Software component | A reasoning validator that extracts stated user goals from the task and scores whether reasoning steps clearly address them, flagging drift into tangential analysis. |
| Goal Refiner | Software component | A cognition component that interprets a vague user request, possibly through clarifying dialogue, into a structured goal with measurable success criteria, scope and timeline. |
| Goal Specification | Data artifact | A shared, asynchronously updatable specification of the target state or outcome an agent's current plan must achieve (e.g., delivery address). |
| Goal-Based Decision Engine | Software component | A decision engine that selects any action sequence achieving a specified target state, treating all goal-achieving actions as equally valuable. |
| Graph Search Planner abstract | Software component | A task planner that finds a lowest-cost action or path sequence by systematically searching a weighted state-space graph from the current state to a goal state. |
| Graph of Operations | Data artifact | A domain-specific reasoning template specifying which thought transformations (generation, aggregation, refinement, pruning) to apply when, and the termination criterion, for a problem class. |
| Graph-of-Thought Controller | Software component | A thought exploration controller that builds a directed acyclic reasoning graph, selecting generation, aggregation or refinement transformations per a domain template and extracting the final solution. |
| HTN Planner | Software component | A task planner that recursively replaces abstract tasks in a task network with subtask networks from applicable decomposition methods until only primitive, executable tasks with consistent constraints remain. |
| Heuristic Decision Engine | Software component | A decision engine that applies simplified heuristic rules keyed on a few salient features to reach good-enough decisions quickly, trading guaranteed optimality for speed. |
| Heuristic Estimator abstract | Software component | A cognition component that estimates, for a search node, the remaining cost h(n) to the goal, guiding which candidates a search planner expands first. |
| Heuristic Rule Set | Data artifact | A set of simplified shortcut decision rules, such as satisficing thresholds or lexicographic objective orderings, that terminate search on a single salient feature. |
| Hybrid Breadth-then-Depth Thought Search Controller | Software component | A tree search controller that explores diverse alternatives breadth-first at shallow depths, then switches to depth-first exploration of the most promising branches. |
| Hybrid Decision Arbiter | Software component | A decision engine acting as meta-controller that routes each decision to the rule-based, utility-based, or learning-based engine suited to its nature and resolves conflicts among them by a strict precedence hierarchy. |
| Incremental Search Replanner | Software component | A replanner that retains the previous search tree and, on edge-cost changes, recomputes only nodes made inconsistent, restoring an optimal path without full re-search. |
| Independent Sampling Thought Generator | Software component | A thought generator that samples each of k candidates independently from the current state without conditioning on previously generated candidates. |
| Information Gain Scorer | Software component | A reasoning-step scorer that estimates, via conditional predictive value, how much each step reduces uncertainty about the final answer beyond prior steps. |
| Knowledge Graph Path Validator | Software component | A verification component that checks every hop of a multi-hop knowledge-graph reasoning path follows semantically appropriate relations and that the full path answers the question's actual intent. |
| LLM Task Planner | Software component | A task planner that prompts a language model to break a goal into subgoals and select available functions for each, leveraging broad model knowledge rather than an encoded method library. |
| Layered Conflict Resolution Policy | Data artifact | A conflict resolution policy that applies priority first, then specificity as tiebreaker, then recency for remaining ties. |
| Learned Decision Policy abstract | Model asset | Learned parameters mapping states to actions, produced by reinforcement learning to maximize expected long-term reward. |
| Learned Heuristic Estimator | Software component | A heuristic estimator that runs a trained neural network over state features (e.g., obstacle configuration) to predict true remaining path cost. |
| Learned Heuristic Model | Model asset | Neural network weights trained to estimate shortest-path distance from a state to the goal by analysing obstacle configurations. |
| Learned Meta Decision Fusion | Software component | A decision fusion aggregator using a meta-learner trained on outcome data to discover how best to combine diverse component outputs. |
| Learned-Policy Decision Engine | Software component | A decision engine that selects actions by querying a policy or action-value model learned from experience or demonstrations, balancing exploration of new actions against exploitation of known good ones. |
| Local Constraint Scheduler | Software component | An optimization component that schedules primitive-level operations within one hierarchical subtask using linear programming or constraint satisfaction. |
| Local Surrogate Explainer | Software component | A decision explainer that perturbs a single input and fits a local approximation of the model to estimate each feature's contribution to that prediction. |
| Logic Conclusion Verbalizer | Software component | A component that converts formally derived conclusions back into natural language, citing the logic rule applied to make the inference transparent. |
| Logic Rule Library | Data artifact | A set of predefined formal inference rule functions (e.g., modus ponens, syllogisms, contraposition) available to a symbolic logic engine. |
| MCTS Planner | Software component | A task planner that incrementally grows a search tree from the current state by repeated selection, expansion, simulation and backpropagation cycles, returning the most-visited action within a compute budget. |
| MCTS Search Configuration | Data artifact | A configuration artifact setting MCTS hyperparameters such as the exploration constant C, children per expansion, progressive-widening schedule, tree-size limit and pruning visit threshold. |
| MDP Policy Solver | Software component | A decision engine that models a problem as a Markov decision process and derives a policy maximizing expected discounted sum of future rewards. |
| Majority Vote Aggregator | Software component | A self-consistency aggregator that selects the answer appearing most frequently across sampled reasoning paths, counting every path equally. |
| Markov State Augmenter | Software component | A state-representation component that enriches the current decision state with sufficient interaction history for the augmented state to satisfy the Markov property. |
| Memory-Bounded Search Planner | Software component | A graph search planner that performs depth-first search under an iteratively increasing f-value threshold, storing only the current path instead of open and closed lists. |
| Monte Carlo Planner | Software component | A simulation-based task planner that samples and evaluates complete trajectories through a forward model without maintaining a search tree, discarding intermediate states after each iteration. |
| Multimodal Fusion Engine | Software component | A perception stage that combines synchronised heterogeneous inputs (vision, LiDAR, tactile, audio, text) into a unified environmental model, resolving conflicts between sources. |
| Natural Language to Logic Translator | Software component | A component that converts natural-language statements into formal logical representations, typically propositional logic, with propositions and logical operators. |
| Negotiation Dialogue Manager | Software component | A cognition component that exchanges proposals, preferences, constraints and reasoning with a human counterpart and recomputes proposals under revised constraint sets until a mutually acceptable solution emerges. |
| Neural Perception Model | Model asset | A trained neural network (e.g., CNN or classifier) that recognizes patterns in unstructured inputs such as images or sensor data and outputs detected features with confidence scores. |
| Neural-to-Symbolic Translator | Software component | An interface component that converts neural probability outputs into symbolic predicates for rule reasoning while preserving uncertainty, e.g., certain/possible predicates, fuzzy truth values, or probabilistic facts. |
| Numbered Step Reasoning Template | Data artifact | A structured reasoning prompt template that delineates reasoning as explicitly numbered steps such as identify information, choose approach, apply, verify, state answer. |
| Optimal Heuristic Search Planner | Software component | A graph search planner that expands nodes in order of g(n)+h(n) with an admissible heuristic, guaranteeing the lowest-cost path if one exists. |
| Order-of-Entry Conflict Resolution Policy | Data artifact | A conflict resolution policy that fires the first matching rule in knowledge-base order, ignoring or deferring later matches. |
| Outcome Probability Estimator | Software component | A cognition component that estimates the conditional probability of each outcome state given a candidate action, from current state, models and historical outcome data. |
| Output Format Specification | Data artifact | An instruction artifact defining the structure an agent's responses must follow (e.g., structured markdown or fields) so outputs are consistent and machine-processable downstream. |
| Output Verifier | Software component | A deterministic checker that validates agent outputs against objective quality checks, such as unit tests or metric thresholds, and triggers revision when they fail. |
| POMDP Policy Solver | Software component | A decision engine that models sequential decisions as a partially observable Markov decision process, explicitly representing history-dependent dynamics. |
| Page State Observer | Software component | A perception component that captures the current web page state, including screenshots and visible interface elements, as the observation the agent and evaluators reason over. |
| Paradigm Boundary Validator | Software component | A validation component that checks inputs crossing from one paradigm component to another for anomalies or low confidence before they trigger downstream rules, invoking conservative fallbacks. |
| Pareto Frontier Optimizer | Software component | A multi-objective decision component that computes the set of non-dominated (Pareto-optimal) candidate solutions across unweighted objectives instead of a single scalarized optimum. |
| Pareto Frontier Set | Data artifact | A set of non-dominated candidate solutions annotated with their per-objective scores, exposing the trade-off structure between objectives. |
| Partner Preference Modeler | Software component | A cognition component that infers a negotiation counterpart's preferences and priorities from their proposals and questions. |
| Perception Interpreter | Software component | A perception component that interprets inputs in temporal and domain context, extracting entities, intent, sentiment, events, relationships and implicit references as structured output. |
| Persistent Search Tree Store | Data store | A store retaining a search's per-node cost values, parent pointers and consistency information across planning cycles so later replans can reuse them. |
| Plan Constraint Propagator | Software component | A planning component that incrementally checks ordering, causal-link, resource, temporal and state constraints after each decomposition step and forward-checks preconditions to trigger early backtracking. |
| Plan Deviation Monitor | Software component | An execution-monitoring component that compares primitive outcomes with operator-predicted effects and identifies the abstraction level whose assumptions failed. |
| Plan Executor | Software component | A component that iterates through planned steps, invoking tools or delegating to sub-agents for each, tracking progress and reporting failures. |
| Plan Repairer | Software component | A replanner that identifies the invalidated segment of the current plan and searches only for a patch reconnecting to its still-valid later segments. |
| Plan Template Adapter | Software component | A planning component that retrieves a structurally matching cached plan template and adapts it to a new request through parameter substitution or few-shot prompting instead of regenerating the plan. |
| Plan Template Extractor | Software component | A component that abstracts completed agent execution plans into parameterized workflow templates and stores them for reuse by structurally similar future requests. |
| Plan Validator | Software component | A pre-execution validator that checks whether an agent's proposed plan—tool choices, step ordering and parameters—satisfies the task requirements and declared dependency rules before any tool runs. |
| Planning Constraint Set | Data artifact | Declarative resource capacities, temporal (deadline, duration, synchronisation) constraints and global state invariants that every valid plan must respect throughout execution. |
| Planning Latency Budget | Data artifact | A configuration of the maximum time available to produce or revise a plan before the result is useless (e.g., control-loop path update deadline). |
| Policy Network | Model asset | Neural network weights trained on expert demonstrations to predict action probabilities for a state, used as search priors and rollout guidance. |
| Precompiled Context Template | Data artifact | A pre-compiled, domain- or specialty-specific context block injected into prompts in place of dynamically generated context for a known task type. |
| Predictive Decision Model | Model asset | Trained classifier or scoring model weights whose predictions (e.g., loan approval, hiring screen, diagnosis, risk score) drive consequential decisions about individuals. |
| Problem Constraint Specification | Data artifact | A declarative configuration (e.g., YAML) listing the hard constraints and prioritized soft constraints of a constraint-satisfaction problem against which candidate states are checked. |
| Progress Validator | Software component | A cognition component that checks each iteration's tool results against success criteria to decide whether the workflow advanced or strategy must change. |
| Prompt Exemplar Set | Data artifact | A curated collection of task-specific example prompts and reasoning traces supplied to the model to steer agent reasoning and tool selection. |
| Quality-Weighted Vote Aggregator | Software component | A self-consistency aggregator that weights each sampled path's vote by its reasoning-quality score, and can average stated probabilities weighted by quality. |
| Question Decomposer | Software component | A cognition component that breaks a complex multi-hop question into an ordered set of sub-questions, each representing a distinct information need. |
| Rationale Selector | Software component | A cognition component that chooses, among sampled reasoning paths reaching the consensus answer, the highest-quality path to present as the explanation. |
| Reactive Planner | Software component | A task planner that continuously replans from current observations instead of committing to a deliberative multi-level plan, suited to environments that change faster than planning completes. |
| Reasoning Consistency Checker | Software component | A verification component that uses entailment judgments and entity resolution to detect contradictory assertions across steps of a reasoning chain. |
| Reasoning Engine | Software component | A cognition component that produces explicit reasoning steps, generated outputs, and structured function-call proposals from task context and tool metadata via LLM calls. |
| Reasoning Path Quality Classifier | Software component | A lightweight classifier that scores each sampled reasoning path from 0 to 1 on coherence, faithfulness and task relevance, supplying vote weights and rationale rankings. |
| Reasoning Path Sampler | Software component | A cognition component that generates k independent complete chain-of-thought reasoning paths for one problem using stochastic decoding (temperature, top-k, nucleus sampling) instead of greedy decoding. |
| Reasoning Strategy Refiner | Software component | A metacognitive component that analyses failed reasoning graphs post-execution for failure modes (premature aggregation, unproductive refinement loops, erroneous pruning) and revises reasoning-strategy templates. |
| Reasoning Strategy Router | Software component | A routing component that sends each query either to single-path chain-of-thought reasoning or to multi-sample self-consistency according to estimated difficulty, stakes and cost policy. |
| Reasoning Verifier abstract | Software component | An abstract external verification component that judges the correctness of an agent's reasoning steps or chain, independently of the model that produced them. |
| Recency Conflict Resolution Policy | Data artifact | A conflict resolution policy that fires the most recently added or modified matching rule first. |
| Reflection Critic abstract | Software component | An abstract cognition component that critiques a generated output against evaluation criteria, identifies errors or gaps, and triggers a refined generation. |
| Replan Trigger Threshold Learner | Software component | A learning component that trains a classifier on historical flagged and ignored discrepancies and their outcomes to adjust replanning thresholds per context. |
| Replan Trigger Threshold Policy | Data artifact | A configuration of discrepancy thresholds (statistical and absolute) above which monitoring escalates to replanning. |
| Replanner abstract | Software component | A component that revises the current plan from execution error observations, e.g., inserting retries, substituting cached sources, or reordering steps. |
| Response Confidence Modulator | Software component | A post-generation component that adjusts response wording, adding hedges or explicit uncertainty acknowledgments, according to confidence and grounding-support levels. |
| Reward Function Specification | Data artifact | A specification of the immediate payoff received on each state transition, together with the discount factor, from which long-term utility is derived. |
| Risk Attitude Policy abstract | Data artifact | An abstract configuration fixing the curvature of a utility function, and hence whether the agent prefers certainty or gambles of equal expected value. |
| Risk-Averse Utility Policy | Data artifact | A risk-attitude configuration using concave utility (e.g., log or square root) that encodes diminishing marginal utility and preference for certainty. |
| Risk-Neutral Utility Policy | Data artifact | A risk-attitude configuration using linear utility u(x) = ax + b, so expected utility equals expected value. |
| Risk-Seeking Utility Policy | Data artifact | A risk-attitude configuration using convex utility (e.g., x squared for positive outcomes) that prefers gambles over certainty of equal expected value. |
| Rollout Simulator | Software component | A state value estimator that plays out an episode from a leaf state to a terminal state using a rollout policy and returns the terminal reward. |
| Rule Interpreter | Software component | A cognition component that translates human-readable rules into executable form by parsing condition structure, evaluating condition predicates and executing rule actions. |
| Rule-Based Analyzer | Software component | A deterministic analyzer that applies domain rule checks or rule-based extraction as a lower-fidelity substitute for LLM-based analysis. |
| Rule-Based Decision Engine | Software component | A decision engine that selects actions by applying fixed condition-action rules or rule hierarchies to the current state. |
| Salience (Priority) Conflict Resolution Policy | Data artifact | A conflict resolution policy that fires the matching rule with the highest explicitly assigned numeric priority first. |
| Search Budget Policy | Data artifact | A configuration artifact defining when a search planner must stop and return an action: fixed iteration count, wall-clock deadline, convergence criterion or a combination. |
| Search Tree Pruner | Software component | A memory-management component that bounds search-tree growth by enforcing node-count limits, removing low-visit subtrees and, on action commitment, promoting the chosen subtree to root while discarding siblings. |
| Self-Consistency Aggregator abstract | Software component | An abstract cognition component that combines final answers from multiple independently generated reasoning chains or agents into one consensus answer by voting, exposing the agreement distribution. |
| Self-Consistency Sampling Policy | Data artifact | A configuration artifact mapping problem classes or difficulty tiers to sample count k, decoding parameters (temperature, top-k, top-p) and aggregation method for self-consistency. |
| Self-Reflection Critic | Software component | A reflection critic in which the same model that generated an output critiques and refines it. |
| Semantic Entropy Detector | Software component | A hallucination detector that samples several responses to the same prompt and quantifies their semantic divergence, treating high variability as evidence the model is guessing. |
| Sensor Noise Model | Data artifact | A characterisation of expected sensor accuracy and actuator variability used to compute acceptable ranges for observations. |
| Sensor Stream Synchronizer | Software component | A buffering component that aligns multimodal sensor streams to common timestamps, holding early data until all modalities for that time are available. |
| Sequential Proposal Thought Generator | Software component | A thought generator that proposes candidates one after another, conditioning each new thought on the previously proposed candidates to cover distinct regions of the space. |
| Signal Preprocessor | Software component | A perception stage that removes noise and extracts features from raw input signals before interpretation. |
| Similarity Exemplar Selector | Software component | An exemplar selector that retrieves, for each input, the demonstrations most similar to it from the demonstration pool. |
| Situational Context Integrator | Software component | A cognition component that fuses short-term conversational context, long-term user patterns and preferences, and real-time environmental state into a single situation assessment used to interpret requests and plan interventions. |
| Specificity Conflict Resolution Policy | Data artifact | A conflict resolution policy that fires the matching rule with the most conditions, letting specific rules override general ones. |
| State Abstraction Mapper | Software component | A planning component that projects concrete world state into level-appropriate abstract state and aggregates concrete effects back into abstract state updates between hierarchy levels. |
| State Value Estimator abstract | Software component | An abstract cognition component that estimates the value of a newly expanded search-tree leaf state, producing the reward signal backpropagated through the tree. |
| State-Space Graph | Data store | A persistent graph of reachable states (e.g., grid cells, intersections, waypoints) and weighted transitions whose edge costs and blocked edges planners search over. |
| Stepwise Reasoning Verifier | Software component | A reflection critic that validates each reasoning step as it is generated through layered entailment, contradiction, information-gain and periodic goal-alignment checks, triggering regeneration of failing steps. |
| Strategic Agent | Software component | A self-interested agent that selects strategies by reasoning about or learning from competitors' actions in a non-cooperative environment. |
| Structured Reasoning Prompt Template abstract | Data artifact | A prompt template that prescribes the format in which an agent exposes its reasoning, creating consistent step boundaries and evaluation checkpoints in reasoning traces. |
| Subthought Answer Aggregator | Software component | A cognition component that extracts intermediate candidate answers from all reasoning branches within a single trace and selects an answer by majority or confidence-weighted vote. |
| Symbolic Logic Engine | Software component | A deterministic inference component that identifies which formal rules apply to formalised premises and invokes predefined logic functions to derive valid conclusions. |
| Symbolic Math Verifier | Software component | A reasoning verifier that extracts claimed mathematical operations from reasoning traces and independently checks them, including whether algebraic transformations preserve equality and preconditions such as non-zero divisors hold. |
| Symbolic Program Executor | Software component | An outer symbolic control program that executes a logical sequence of operations (parse, retrieve, infer, answer), each implemented by an embedded neural module. |
| Synthesis Prompt Template | Data artifact | A prompt template instructing the LLM how to combine each context source for its strength when synthesizing an answer. |
| System Prompt Template | Data artifact | Versioned instructions that define an agent's role, functional boundaries, task assignments and success criteria. |
| Tabular Value Function | Model asset | A learned policy model stored as a table holding one value estimate per state-action pair (Q-table). |
| Tagged Reasoning Template | Data artifact | A structured reasoning prompt template that marks reasoning components by function with semantic tags (analysis, approach, execution, verification, conclusion). |
| Task Network | Data artifact | The evolving hierarchical partial plan: a tree or DAG of abstract and primitive tasks with decomposition edges, ordering constraints, causal links and resource assignments. |
| Task Planner abstract | Software component | A cognition component that decomposes a high-level goal into a concrete ordered set of executable steps before execution begins. |
| Template Response Generator | Software component | A fallback responder that returns a safe generic templated response when model-based generation fails. |
| Test-Based Vote Aggregator | Software component | A self-consistency aggregator for generated code that executes each sampled implementation against provided test cases and selects among the samples that pass, instead of comparing output text. |
| Thought Aggregator | Software component | A cognition component that synthesizes several source thoughts into one new thought with edges from every source, reconciling contradictions and eliminating redundancy. |
| Thought Decomposition Specification | Data artifact | A design artifact defining what constitutes one thought for a problem class (e.g., one arithmetic operation, one narrative plan, one crossword word), fixing tree granularity. |
| Thought Evaluation Prompt Template | Data artifact | A prompt template stating the evaluation criteria and rating form (categorical, numeric scale, or comparative vote) a model uses to assess intermediate reasoning states. |
| Thought Exploration Controller abstract | Software component | An abstract cognition controller that maintains multiple candidate intermediate thoughts, deciding which to expand, evaluate, prune or combine and when to terminate a deliberate reasoning episode. |
| Thought Generator abstract | Software component | An abstract cognition component that prompts a language model to produce k candidate next thoughts from the current reasoning state, conditioned on existing thoughts. |
| Thought Refiner | Software component | A cognition component that improves a single thought in place through repeated critique-and-revise cycles, represented as a self-loop, until quality criteria or an iteration limit is met. |
| Thought Search Policy | Data artifact | A configuration artifact fixing tree-search parameters: breadth b, branching factor k, maximum depth and the pruning value threshold below which branches are abandoned. |
| Thought State Evaluator abstract | Software component | An abstract cognition component that uses a language model as a heuristic to assess how promising intermediate reasoning states are, producing signals that guide pruning and selection. |
| Token Uncertainty Scorer | Software component | A statistical hallucination detector that flags generated outputs as uncertain using token log-probabilities, response perplexity and response-length anomalies relative to expected patterns. |
| Tree Search Controller abstract | Software component | A thought exploration controller that navigates a tree of thoughts, each with exactly one parent, expanding, pruning and backtracking over branches according to a search strategy. |
| Uncertainty Explainer | Software component | An explanation component that itemizes the sources of uncertainty behind a confidence level and states which additional information or investigation would raise confidence. |
| Uniform-Cost Search Planner | Software component | A graph search planner that expands nodes by accumulated cost (or depth) without heuristic guidance, yielding shortest paths from the start to all reachable nodes. |
| User Affect Detector | Software component | A natural-language-understanding component that interprets tone, intent and emotional state in user utterances to estimate escalation readiness versus patient information-seeking. |
| User Need Predictor | Software component | A predictive component that forecasts upcoming user needs, and when users will recognise them, from historical trajectories and current state across immediate, medium-term and long-term horizons. |
| User Trajectory Model | Model asset | Machine-learning model weights trained on user trajectories, i.e., typical transitions from current to future states, predicting what users will need next and when they typically recognise that need. |
| Utility Computation Cache | Data store | A cache that stores computed utility values so they can be reused for similar actions instead of being recalculated. |
| Utility Function Specification | Data artifact | A declarative specification mapping outcomes to utility values: the objectives, their per-objective transforms, trade-off weights and risk-attitude shape. |
| Utility-Based Decision Maker | Software component | A decision engine that scores each candidate action by expected utility, the probability-weighted sum of outcome utilities, and selects the action maximizing it. |
| Value Network | Model asset | Neural network weights trained, typically through self-play, to predict the eventual outcome (e.g., win probability) from an intermediate state. |
| Value Network Evaluator | Software component | A state value estimator that evaluates intermediate leaf states directly with a learned value network, replacing or shortening rollouts to terminal states. |
| Value Thought Evaluator | Software component | A thought state evaluator that rates each state independently on a categorical (sure/maybe/impossible) or numeric (1-10) scale estimating the likelihood it leads to a solution. |
| Verifier Ensemble Aggregator | Software component | A cognition component that combines judgments from diverse reasoning verifiers by voting, weighted voting or a meta-model, treating disagreement as an uncertainty signal. |
| Verifier Model | Model asset | Model weights fine-tuned on labeled correct and incorrect reasoning steps to judge reasoning correctness in a specific domain. |
| Vote Thought Evaluator | Software component | A thought state evaluator that presents all candidate states at one tree level together and asks the model to judge comparatively which is most promising. |
| Weighted Voting Decision Fusion | Software component | A decision fusion aggregator that weights each component's recommendation by its historical accuracy on similar cases, or takes a majority vote across redundant components. |
| World Model State | Data store | The agent's current structured model of its environment produced by perception, used to understand present state and predict future scenarios. |
| Zero-Shot CoT Prompt | Data artifact | A chain-of-thought prompt that supplies no demonstrations, only a reasoning trigger instruction (e.g., "Let's think step-by-step") appended to the problem. |
| Zero-Shot Step Verifier | Software component | A reasoning verifier that judges individual reasoning steps by prompting a general-purpose LLM without task-specific training, outputting binary, graded or detailed judgments. |
Memory (45)
Component that retains agent experience across steps or sessions: working, episodic, semantic, procedural memory.
| Component | Kind | Definition |
|---|---|---|
| Compression Fidelity Validator | Software component | A verification component that checks compressed summaries or extractions against their source through entailment, coverage and consistency checks before they replace original content in working memory. |
| Context Allocation Policy | Data artifact | A configuration artifact specifying per-task-type context-window allocation shares, the reserve fraction, utilization thresholds that escalate compression, and the advertised versus enforced capacity. |
| Context Budget Allocator | Software component | A memory-management component that divides an agent's context-window token budget among competing contents (system prompt, history, retrieval, reasoning traces, output) according to task type and observed utilization. |
| Context Window Manager abstract | Software component | A memory component that tracks and manages how much conversation, reasoning, and observation history fits within the model's context window, signalling when older context will be dropped. |
| Conversation State Store abstract | Data store | A store holding per-session conversation history and agent state machine state used to continue a user's conversation across turns. |
| Decision Outcome History Store | Data store | A store of past decisions, their context and realized outcomes (e.g., on-time delivery rates, demand coverage, click-through) used for estimation and backtesting. |
| Episode Encoder abstract | Software component | An abstract memory component that decides which experiences from an interaction become episodic memories and converts them into structured episode records. |
| Episode Pattern Abstractor | Software component | A consolidation component that clusters related episodes and extracts general patterns across them, promoting the resulting rules to semantic or procedural memory. |
| Episode Schema | Data artifact | A data contract defining the facets of an episodic memory record: initial state, actions taken, outcomes and rewards, context metadata, agent reasoning state, and importance signals. |
| Episode Summarizer | Software component | A consolidation component that prompts a language model to compress a verbose episode into an essential narrative of problem, root cause, solution, outcome metrics and lessons learned. |
| Episodic Memory Store | Data store | Long-term memory of specific timestamped past events and interactions, queried by temporal proximity and event attributes. |
| Event-Based Episode Encoder | Software component | An episode encoder that records every discrete action or turn of an interaction with timestamps, producing high-granularity memory traces at high storage cost. |
| Execution Failure History Store | Data store | A store of historical execution discrepancies and failures with their context (time, location, signature) and outcomes, retained across planning cycles. |
| Experience Replay Buffer | Data store | A store of past experience transitions (state, action, reward, next state) from which batches are sampled to retrain learned models, mixing old and new experience. |
| External Session State Store | Data store | A shared, network-accessible store (key-value or relational) that externalizes session state so every stateless replica can retrieve and update any user's conversation. |
| Full Conversation Buffer | Software component | A context window manager that appends every human message and agent response to history and injects the complete, untruncated history into each prompt. |
| Graph Reasoning State Store | Data store | Working-memory store holding all generated thoughts of a reasoning episode as DAG vertices with dependency edges, scores and transformation history, queryable and serializable. |
| Hierarchical History Compressor | Software component | A context window manager that keeps recent turns verbatim, older turns as paragraph summaries and distant turns as key-fact metadata, while full history is stored externally for on-demand retrieval. |
| Importance-Weighted History Retainer | Software component | A context window manager that scores each turn's importance from information density, user emphasis, task relevance and retrieval frequency, keeping high-scoring turns regardless of age and pruning low-scoring ones. |
| Instance-Local Session State | Data store | Session state held in a replica's own memory, requiring session affinity so a user's requests return to the same replica. |
| MCTS Search Tree Store | Data store | Working-memory store of an MCTS search tree whose nodes are states and edges actions, holding per state-action pair the visit count N(s,a), cumulative reward Q(s,a) and child pointers. |
| Memory Conflict Resolver | Software component | A memory component that reconciles contradictory retrieved or stored memories before they reach reasoning, using timestamp, frequency, outcome-quality or context-clustering strategies. |
| Memory Consolidator | Software component | A component that asynchronously batches, indexes and persists perceived entities, events and learned patterns into the appropriate long-term memory stores. |
| Memory Deduplicator | Software component | A memory component that detects near-duplicate stored items by semantic similarity and merges them into a representative item with occurrence and outcome statistics. |
| Memory Importance Scorer | Software component | A memory component that assigns each episode an importance score from outcome significance, rarity/novelty, feedback quality, recency and how often its lessons proved useful in later retrievals. |
| Memory Lifecycle Manager | Software component | A component that applies time-based, importance-based and load-adaptive decay policies to retain or evict stored memories. |
| Memory Link Generator | Software component | A memory component that creates connections between related stored memories, giving memory a navigable structure from one memory to related concepts. |
| Memory Retrieval Policy | Data artifact | A configuration specifying memory retrieval parameters: ranking weights, decay rate, similarity threshold, top-k limit, token budget share and context metadata filters. |
| Memory Retriever | Software component | A retrieval component that dispatches a memory query to the memory type suited to it and returns filtered results. |
| Multi-Signal Relevance Ranker | Software component | A reranker that orders retrieved memory candidates by a weighted combination of semantic similarity, temporal recency decay, learned importance and other signals such as frequency or source reputation. |
| Procedural Memory Store | Data store | Long-term memory of learned rules, task-execution patterns and strategies, activated by context pattern matching. |
| Procedural Skill Executor | Software component | A memory component that runs a learned procedure from procedural memory outside the context window, taking parameters from the reasoning loop and returning only the result to working memory. |
| Prompt Context Builder | Software component | A memory component that rebuilds the complete prompt context (goal, completed-step results, current state, requested action) from external state before every stateless LLM invocation. |
| Semantic Memory Store | Data store | Long-term memory of facts, concepts and structured user/domain knowledge, searched by embedding similarity. |
| Session Summary Store | Data store | A mid-term memory store of extractive semantic summaries of earlier conversation segments, trading verbatim accuracy for capacity. |
| Significance-Based Episode Encoder | Software component | An episode encoder that records only significant experiences, such as failures, unusual outcomes, prediction mismatches, repeated attempts or explicit feedback, as estimated during the experience. |
| Sliding-Window History Truncator | Software component | A context window manager that retains only the most recent N items of a history field, discarding older ones. |
| Summarizing History Compressor | Software component | A context window manager that summarises older turns into compact goal, fact, and decision summaries kept in state before pruning the full messages. |
| Thought Tree Store | Data store | Working-memory store of the current search tree, holding per node the problem state, operation history, evaluation metadata and the frontier or stack of unexplored alternatives. |
| Trajectory Pruner | Software component | A context window manager that removes useless (dead-end), redundant (restated) and expired (no-longer-relevant) information from an agent's accumulated reasoning trajectory before it is re-sent to the model. |
| User Exception Catalog | Data store | A per-user long-term store of special and edge cases from prior interactions where standard assumptions failed and user-specific exceptions apply. |
| User Preference Profile Store | Data store | A persistent per-user store of stable preferences learned across many interactions, such as communication style, preferred modalities, recurring constraints, preferred time slots and priorities. |
| Value Priority Profile Store | Data store | A per-principal store of discovered value priorities, such as a patient's weighting of autonomy, safety, convenience and outcomes, used to adapt an agent's alignment specification to that individual. |
| Working Memory Buffer abstract | Data store | Short-term, in-context storage of the current task's reasoning traces, tool invocations, observations, and reflection insights, bounded by the model's context window. |
| Working Memory Fact Store | Data store | A session-scoped store of case facts, derived intermediate conclusions with certainty factors, and goal status that rules pattern-match against during one reasoning session. |
Knowledge & Data (185)
Component for ingesting, curating, indexing, and retrieving enterprise knowledge (ETL, chunking, embedding, vector and graph retrieval).
| Component | Kind | Definition |
|---|---|---|
| Adaptive Retrieval Controller abstract | Software component | An abstract retrieval-gating component that decides per query whether to retrieve external knowledge or answer from the model's parametric memory, and which retrieval strategy to apply. |
| Answer Synthesizer abstract | Software component | A software component that prompts an LLM to turn a question plus retrieved or queried results into a grounded natural-language answer. |
| Approximate Vector Search Retriever | Software component | A vector retriever that uses approximate nearest-neighbour search (e.g., HNSW, IVF), trading exactness and determinism for sub-linear query time. |
| Archive Graph Store | Data store | A separate data store holding historical graph partitions queried only when explicitly needed. |
| Business Rule Validator | Software component | A rule engine that evaluates domain-specific validity constraints, such as prices above cost, permitted status transitions or transaction limits, against incoming records. |
| CPU Embedding Service | Software component | An embedding service that runs transformer embedding models on CPUs, trading much higher latency and per-query cost for not needing GPU infrastructure. |
| CPU Vector Index Store | Data store | A vector store that builds ANN indices (HNSW, IVF) and computes similarity search on CPUs. |
| Canonical Format Specification | Data artifact | A configuration of standardization rules naming the canonical representation for each value type, such as ISO 8601 dates, E.164 phone numbers and fixed currency precision and symbol placement. |
| Cascading Deduplicator | Software component | A deduplicator that runs exact, fuzzy and semantic deduplication sequentially so each more expensive level only processes survivors of the cheaper ones. |
| Chart Data Extractor | Software component | An image-to-text grounder that converts charts, plots, graphs and tables into linearized tables preserving exact values and structure. |
| Chart-to-Table Model | Model asset | A specialised vision model that detects chart elements, reads values and labels via OCR and layout analysis, and outputs a linearized table. |
| Chunk Metadata Extractor | Software component | A transformation component that captures and normalizes contextual attributes, such as source, category, tags and timestamps, and attaches them to every chunk for filtered retrieval. |
| Chunk Schema Validator | Software component | A pre-load validation component that checks each processed chunk, including embedding dimensionality, against the target collection schema and fails fast on violations. |
| Chunking Policy | Data artifact | A configuration fixing target chunk size, overlap, minimum chunk size and boundary-seeking order for a document chunker. |
| Citation Extractor | Software component | A post-generation component that links each statement in a generated answer to the retrieved source documents it relies on, producing structured source attributions for the response. |
| Coarse-to-Fine Vector Retriever | Software component | A vector retriever that first searches truncated low-dimensional embeddings to shortlist candidates, then rescores the shortlist with full-dimensional embeddings. |
| Confidence-Gated Retrieval Controller | Software component | An adaptive retrieval controller that first generates a parametric answer with an LLM self-rated confidence and triggers retrieval only when confidence falls below a threshold or an always-retrieve pattern matches. |
| Content Deduplicator abstract | Software component | An abstract transformation component that detects and removes redundant copies of documents or chunks before they are indexed. |
| Content Fingerprint Store | Data store | A set of content fingerprints of already-processed documents or chunks used for constant-time duplicate lookups. |
| Context Assembler abstract | Software component | A software component that combines retrieved document content and graph relationship context into a grounded prompt context. |
| Context Compressor | Software component | A prompt-preparation component that shrinks retrieved context by summarizing documents, extracting bullet points, and truncating to the most relevant passages before generation. |
| Contrastive Image-Text Encoder | Model asset | A pair of text and image encoders trained jointly with contrastive loss so matching text-image pairs map to nearby vectors in one shared space. |
| Corpus Coverage Analyzer | Software component | An analysis component that uses topic modeling to map the corpus against a taxonomy of required topics, identifying gaps and measuring topic density. |
| Cost-Optimized Embedding Model | Model asset | A smaller, lower-dimensional dense embedding model offering solid general retrieval quality at substantially lower cost. |
| Cross-Encoder Reranking Model | Model asset | A trained cross-encoder model that jointly encodes a query and a candidate document to output a query-document relevance score used for reranking. |
| Cross-Modal Reranker | Software component | A reranker that scores mixed-modality candidates (text, image, audio) against the query with a multimodal model and selects the top-K regardless of modality. |
| Cross-Modal Reranking Model | Model asset | A multimodal relevance model that scores candidates of different modalities against a query in a comparable way. |
| Cross-System Record Conflict Resolver | Software component | An autonomous agent component that detects and reconciles conflicting values for the same record across disparate source systems, such as different EHR platforms. |
| Data Format Normalizer | Software component | A transformation component that rewrites heterogeneous representations of dates, phone numbers and monetary values into canonical forms during ETL transformation. |
| Data Quality Gate | Software component | An enforcement component that applies accept, flag or reject policy to validation results per document and per batch, keeping enforcement separate from validation logic. |
| Data Quality Rule Set | Data artifact | A declarative configuration of validation rules (value ranges, regex format patterns, minimum content length, date windows, cross-field constraints) each mapped to an enforcement severity. |
| Data Quality Validator | Software component | A validation engine that applies a composable set of schema, type, range, format and cross-field checks to each incoming document and returns severity-graded, structured validation results. |
| Data Source Connector abstract | Software component | An abstract extraction component that interfaces with one class of source system to pull raw records or documents in their native format for an ETL pipeline. |
| Data Value Anomaly Detector | Software component | A statistical consistency checker that flags field values deviating significantly from historical ranges or violating known numeric constraints as potential factual errors. |
| Deduplication Threshold Configuration | Data artifact | A configuration of fuzzy and semantic similarity thresholds that trades duplicate recall against false-positive removal of legitimately different documents. |
| Dense-Sparse Hybrid Retriever | Software component | A retriever that runs dense vector search and sparse keyword search in parallel and returns the union of their results. |
| Dependency-Parse Relation Extractor | Software component | A rule-based relation extractor deriving triples from subject-verb-object patterns in a syntactic dependency parse. |
| Distributed Vector Index Store | Data store | A self-operated, horizontally distributed vector store built for maximum throughput over billions of vectors, supporting sparse and dense vectors per collection, multi-level tenant isolation and hot/cold storage tiering. |
| Document Archive Store | Data store | A store holding superseded document versions and expired time-sensitive content removed from the active retrievable corpus. |
| Document Chunker abstract | Software component | A software component that splits raw documents into chunks for embedding and entity extraction. |
| Document Ingestor | Software component | A component that extracts text, tables and chart values from source documents such as PDFs into structured data. |
| Document Metadata Store | Data store | A persistent store of per-document and per-chunk metadata (source, version, attributes) used to filter retrieval results and to attribute citations to source documents. |
| Document Quality Filter | Software component | A transformation gate that rejects extracted documents failing configured quality checks, such as length bounds, word count, boilerplate, language or timeliness, before they are chunked and indexed. |
| Document Structure Validator | Software component | A validator that parses documents to confirm expected sections are present, content meets minimum length thresholds, and text is not truncated. |
| Document Version Reconciler | Software component | A component that uses document identifiers and version timestamps to archive superseded or expired versions and ensure each unique document appears only once in the active corpus. |
| Domain Ontology | Data artifact | A hierarchical concept taxonomy with inherited properties and logical integrity constraints that gives rule, utility, and learning components shared concepts at different abstraction levels. |
| Domain-Specific Embedding Model | Model asset | A text embedding model trained or fine-tuned on a domain's terminology, excelling at specialized concepts within that domain. |
| Embedded Vector Index Store | Data store | A lightweight vector store that runs in-process inside the application as a library, requiring no separate services, network API or infrastructure. |
| Embedding Cache | Data store | A cache of previously computed vector embeddings for frequently queried documents or queries, so semantic search avoids recomputing them. |
| Embedding Service abstract | Software component | A service that converts text or other media into vector embeddings for similarity search. |
| Entity Linker abstract | Software component | An abstract software component that resolves entity mentions with varying surface forms to a single canonical entity identifier. |
| Entity Recognizer | Software component | A software component that detects typed entity mention spans (person, organization, location, date, money, product) in text. |
| Entity Reconciler | Software component | A software component that automatically merges duplicate entities, corrects relationship directions, and prunes obvious errors in the graph. |
| Entity Reference Catalog | Data store | A reference knowledge base of canonical entity identifiers (e.g., encyclopedic IDs, ticker symbols) used to resolve entity mentions. |
| Event Stream Consumer | Software component | A data source connector that continuously consumes messages from event streams or message queues so new knowledge is integrated in near real time. |
| Exact Hash Deduplicator | Software component | A content deduplicator that fingerprints content with a cryptographic hash and discards items whose fingerprint has already been seen. |
| Exact Vector Search Retriever | Software component | A vector retriever that computes similarity against every stored vector to return the exact top-K results deterministically. |
| File Store Extractor | Software component | A data source connector that discovers files in file systems or object storage via path patterns and extracts those modified since the last run using file metadata. |
| Filter-Optimized Vector Index Store | Data store | A vector store whose index and query engine are explicitly optimized for combining vector similarity with complex metadata filter expressions without latency degradation. |
| Fixed-Length Chunker | Software component | A document chunker that splits text at fixed character or token counts regardless of sentence or topic boundaries. |
| Flat Index Configuration | Data artifact | A vector index configuration performing exact nearest-neighbour search by scanning every stored vector. |
| Full-Text Index Loader | Software component | A loader that inserts cleaned text into a full-text search index whose analyzers tokenize content for exact phrase matching. |
| Fusion Weight Selector | Software component | A retrieval-preparation component that sets the dense/sparse fusion weight per query from query characteristics such as technical terms, product codes or natural-language phrasing. |
| Fuzzy Text Deduplicator | Software component | A deduplicator that compares documents with a length-normalized string distance and removes those whose similarity exceeds a configured threshold. |
| Fuzzy-Match Entity Linker | Software component | An entity linker that merges mentions into existing entities by string edit-distance similarity, deferring uncertain matches to human review. |
| GPU-Accelerated Vector Index Store | Data store | A vector store that builds approximate-nearest-neighbour indices and executes similarity search and metadata filtering in parallel on GPUs. |
| General-Purpose Embedding Model | Model asset | A text embedding model trained on broad corpora that offers strong performance across diverse content types. |
| Graph Analytics Engine | Software component | A software component that runs whole-graph algorithms on in-memory projections and writes precomputed results back as node properties. |
| Graph Consistency Validator | Software component | A validation component that checks proposed knowledge graph additions, removals and edge changes against graph constraint rules and rejects or cascades updates that would create contradictions. |
| Graph Quality Auditor | Software component | A software component that periodically scans the graph for orphaned nodes, suspicious relationship patterns, and near-duplicate entities. |
| Graph Retention Manager | Software component | A software component that moves aged graph data to archive storage and leaves summary nodes, keeping the active graph compact. |
| Graph Retriever | Software component | A retriever that executes pattern-matching traversal queries over a knowledge graph and returns structured results. |
| Graph Rule Inferencer | Software component | A knowledge component that applies declared graph rules to stored facts to derive implied facts and compose constraints, returning conclusions with their explicit relationship paths. |
| Graph Schema | Data artifact | A data artifact enumerating the node labels, relationship types, and properties available in a knowledge graph. |
| Graph Schema Introspector | Software component | A software component that reads a live knowledge graph and extracts its schema metadata for use in query generation. |
| Graph-Constrained Vector Retriever | Software component | A hybrid retriever that first selects semantically similar candidates by vector search, then filters them by graph relationship constraints such as temporal proximity, causal connection, entity overlap or interaction pattern. |
| Graph-Enhanced Retriever | Software component | A hybrid retriever that returns semantically retrieved chunks annotated with relationship metadata drawn from the knowledge graph. |
| Grounded Answer Prompt Template | Data artifact | A prompt template instructing the LLM to answer using only the supplied retrieved context and to cite sources by numbered reference, together with low-temperature generation settings. |
| Grounded Text Retriever | Software component | A multimodal retriever that searches a text index containing native text plus text generated from images and audio, returning chunks with source-modality metadata. |
| HNSW Index Configuration | Data artifact | A vector index configuration building a hierarchical navigable small-world graph for millisecond approximate search at very large scale. |
| Heuristic Image Type Classifier | Software component | An image type classifier that labels images as charts using visual heuristics such as the presence of axis labels, legends, or grid patterns. |
| Hierarchical Chunker | Software component | A document chunker that produces nested chunks mirroring document structure (document, section, paragraph) so each chunk retains its structural context. |
| High-Accuracy General Embedding Model | Model asset | A large general-purpose dense embedding model producing high-dimensional vectors for maximum semantic retrieval accuracy on short-to-medium passages. |
| Hosted Embedding API Service | Software component | An embedding service consumed from a third-party provider's hosted API, billed per token, with the provider operating models and infrastructure. |
| Hybrid Retriever abstract | Software component | A retriever that combines vector similarity search with knowledge-graph traversal, linking entities found in retrieved text to graph nodes. |
| IVF Index Configuration | Data artifact | A vector index configuration that partitions vectors into k-means clusters (nlist) and searches exactly within only the most relevant clusters. |
| Image Captioner | Software component | An image-to-text grounder that prompts a vision-language model to generate detailed captions describing objects, spatial relationships, scene context, colours, and visible text. |
| Image Type Classifier abstract | Software component | An abstract preprocessing classifier that assigns each image a content class, such as chart/plot versus general image, to drive processing-path selection. |
| Image-to-Text Grounder abstract | Software component | An abstract preprocessing component that converts image content into searchable text (captions or structured data) so it can be embedded and retrieved with standard text retrieval. |
| In-Store Vectorizer | Software component | A vector store module that automatically calls an external embedding provider to vectorize raw text on insert and on query when no vector is supplied. |
| Index Integrity Validator | Software component | A post-loading validator that checks stored vectors have the expected dimensionality and are not degenerate and that every loaded chunk is searchable in the index. |
| Joint Multimodal Embedding Service | Software component | An embedding service that encodes both text and images into one shared vector space with jointly trained encoders, enabling cross-modal similarity search without conversion. |
| Keyword Retriever | Software component | A retriever that ranks documents by sparse keyword (lexical) matching against the query rather than by embedding similarity. |
| Knowledge Base Auditor | Software component | A curation component that periodically verifies knowledge base content against authoritative sources and validates source credibility, flagging inaccurate or unattributed entries. |
| Knowledge Base Refresher | Software component | An update pipeline that ingests new or changed publications from authoritative sources into the knowledge base when they are released, keeping retrieval sources current. |
| Knowledge Chunk Metadata Schema | Data artifact | A data contract for semantic-memory chunk metadata recording source document, chunk position, last-updated timestamp, temporal validity period, version and source type. |
| Knowledge Gap Detector | Software component | A curation component that detects cases where symbolic knowledge is missing or inconsistent and requests targeted human input to grow the knowledge base incrementally. |
| Knowledge Graph Loader | Software component | A software component that idempotently writes extracted entities and relationships into the knowledge graph in batched transactions. |
| Knowledge Graph Rule Set | Data artifact | A set of logical constraints and inference rules over a knowledge graph, such as transitivity of located_in, cardinality limits, or clinical guideline rules. |
| Knowledge Graph Store abstract | Data store | A store of entities and relationships enabling multi-hop relational and causal reasoning that vector similarity cannot represent. |
| Knowledge Retrieval Agent | Software component | A specialised agent that searches the knowledge base by vector similarity and returns documents filtered to the requester's access level. |
| Knowledge Source Router | Software component | A routing component that determines which of several heterogeneous knowledge sources (databases, spreadsheets, document repositories, email archives) should be searched for a given information need. |
| Knowledge Source System | Data store | An authoritative upstream system, such as a document repository or an operational CRM, trading or risk database, from which semantic-memory content is extracted. |
| Knowledge Store Loader abstract | Software component | An abstract load-stage component that inserts processed records, embeddings and metadata into a target knowledge store. |
| Knowledge-Base Entity Linker | Software component | An entity linker that resolves mentions to identifiers in a reference knowledge base using an entity linking service. |
| Lexical Index Store | Data store | An index over the full text of the corpus supporting sparse term-based scoring (e.g., BM25) for exact keyword and phrase matching. |
| Lexical Reranker | Software component | A reranker that applies keyword (BM25) scoring only to the top vector-search candidates instead of fusing over the full collection. |
| Long-Context Embedding Model | Model asset | A dense embedding model with a very large input context and bidirectional attention, able to embed long technical, legal or research documents with little or no chunking. |
| Managed Vector Index Store | Data store | A fully managed, cloud-hosted vector store whose provider handles scaling, multi-region replication and real-time indexing, exposing no cluster or index tuning to the user. |
| Metadata-Filtered Retriever | Software component | A vector retriever that applies metadata predicates (modality, speaker, time period, source) to narrow the search space before vector similarity search. |
| Modality-Specific Embedding Service | Software component | An embedding service that uses a separately chosen, modality-optimised embedding model for each content type, writing to that modality's own vector store. |
| Modality-Specific Vector Store | Data store | A vector store dedicated to one modality's embeddings (text, image, or audio), possibly using a storage technology specialised for that modality. |
| Multi-Hop Answer Synthesizer | Software component | An answer synthesizer that combines sub-answers and supporting facts from multiple documents into a final answer attributed to its contributing sources. |
| Multi-Hop Retrieval Controller | Software component | A retrieval control component that answers a question requiring evidence from several documents by iterating hops: resolving each sub-question, retrieving evidence, carrying intermediate answers forward, and handing results to synthesis. |
| Multi-Signal Entity Resolver | Software component | An entity linker that unifies records across source systems into canonical entities by combining name fuzzy and embedding similarity, contact overlap, known parent-subsidiary links and transaction-history patterns. |
| Multimodal Answer Synthesizer | Software component | An answer synthesizer that prompts a vision-language model with the query, retrieved text, and retrieved images to produce grounded answers, including visual question answering. |
| Multimodal Chunk Metadata Schema | Data artifact | A data contract for chunk metadata recording source modality flag, original asset reference, page/section, timestamps, speaker, language, confidence, and extracted tables. |
| Multimodal Content Router | Software component | A preprocessing router that dispatches each extracted content element to the processor suited to its modality and image type: chart extractor, image captioner, speech transcriber, or text chunker. |
| Multimodal Context Assembler | Software component | A context assembler that detects retrieved chunks derived from images via metadata flags, loads the original images, and builds a multimodal prompt combining query, text context, and images. |
| Multimodal Retriever abstract | Software component | An abstract retriever that returns the most relevant items for a query across text, image, and audio content, whatever modality they originated in. |
| NER Model | Model asset | A trained transformer model that classifies text spans into named-entity types. |
| Near-Duplicate Detector | Software component | A content deduplicator that uses locality-sensitive signatures to detect near-identical documents above a configurable similarity threshold. |
| Neural Knowledge Extractor | Software component | A knowledge-engineering component that bootstraps symbolic rules and relationships from trained neural models (attention weights, embedding clusters, expert-validated predictions) for expert validation. |
| Neural Relation Extractor | Software component | A relation extractor using a classifier trained on annotated corpora to recognize semantic relationships beyond syntactic structure. |
| Overlapping Window Chunker | Software component | A document chunker that emits chunks sharing overlapping content with their neighbours so that context spanning boundaries remains retrievable. |
| Paginated API Extractor | Software component | A data source connector that pulls records from web service APIs page by page, managing authentication, pagination tokens, rate limits and server-side updated-since filters. |
| Parallel Fusion Retriever | Software component | A hybrid retriever that queries the vector index and the knowledge graph independently in parallel and merges their results. |
| Parallel Sub-Query Retrieval Controller | Software component | A retrieval control component that issues retrieval for all independent sub-queries concurrently and gathers per-sub-query context, so total latency approximates the slowest single retrieval. |
| Parametric Answer Generator | Software component | An answer-generation component that prompts the LLM to answer from its parametric (weight-encoded) knowledge without retrieved context, used for retrieval-free queries and as a retrieval fallback. |
| Per-Modality Fan-Out Retriever | Software component | A multimodal retriever that searches every modality-specific vector store in parallel, collecting each store's top-N candidates for cross-modal reranking. |
| Personal Data Store | Data store | A system-of-record database holding identifiable personal data about data subjects, such as customer, patient, employee or applicant records, processed by an application or AI system. |
| Precedent Case Retriever | Software component | A retrieval component that finds the most similar previously decided cases, with their final outcomes and reviewer reasoning, using similarity over case characteristics and demographics, to contextualize a current decision. |
| Production Rule Base | Data artifact | A versioned knowledge base of explicit if-then decision rules, each with conditions, actions, priority (salience), optional confidence score and documented rationale, that applies across all cases. |
| Property Graph Store | Data store | A knowledge graph store using the property graph model, with labelled nodes and typed directed edges that both carry key-value properties. |
| Punctuation and Capitalization Restorer | Software component | A transcription post-processing component that applies a model to raw ASR output to insert punctuation and correct capitalization. |
| Quality Filter Rule Set | Data artifact | A configuration of document quality thresholds and reference lists, such as minimum and maximum length, minimum word count and boilerplate phrases, applied by a quality filter. |
| Query Rewriter | Software component | A retrieval-preparation component that reformulates a question or sub-question into a search query, incorporating intermediate answers from earlier hops. |
| Query-Type Retrieval Router | Software component | An adaptive retrieval controller that classifies each query by type (calculation, factual, comparison, procedural) and routes it to the matching strategy: direct generation, standard, decomposed, or expanded retrieval. |
| RDF Triple Store | Data store | A knowledge graph store representing facts as subject-predicate-object triples following W3C semantic web standards. |
| Referential Integrity Validator | Software component | A validator that checks that document cross-references, internal links, citations and referenced IDs resolve to existing documents and that relationships agree across sources. |
| Relation Extractor abstract | Software component | An abstract software component that identifies typed semantic relationships (triples with properties) between entity pairs mentioned in text. |
| Relational Vector Extension Store | Data store | A general-purpose relational database extended with a vector type, distance functions and vector indexes, storing embeddings beside relational data under ACID transactions. |
| Required Topic Taxonomy | Data artifact | A taxonomy enumerating the topics a knowledge base must cover for its agent's use cases, used as the reference for coverage analysis. |
| Reranker abstract | Software component | A software component that deduplicates and re-scores candidate results from one or more retrieval sources into a single ranking. |
| Retrieval Confidence Filter | Software component | A retrieval post-processing component that scores retrieved candidates for relevance confidence and discards marginal matches below a threshold, signalling when no sufficiently relevant context exists. |
| Retrieval Result Cache | Data store | A cache of previously retrieved documents and context, reused to cut retrieval latency for repeated queries and to continue service when live retrieval fails. |
| Retrieval Routing Rule Set | Data artifact | A configuration of query-type-to-strategy mappings, confidence thresholds and always-retrieve patterns (e.g., product names, pricing, medical or policy topics) that governs adaptive retrieval decisions. |
| Retrieval-Augmented Graph Retriever | Software component | A hybrid retriever that uses vector search to find relevant chunks, extracts and links their entities, then traverses only the subgraph around those entities. |
| Retrieval-Optimized Embedding Model | Model asset | A compact dense embedding model trained specifically for search ranking, excelling at distinguishing near-duplicate documents within short passages. |
| Retriever abstract | Software component | An abstract software component that fetches the information needed to answer a query from an indexed knowledge source. |
| Self-Hosted GPU Embedding Service | Software component | An embedding service run on the organization's own GPU infrastructure behind an inference server, removing per-token API costs and keeping data on-premises. |
| Self-Managed Vector Index Store | Data store | An open-source vector store deployable on-premises, in the team's own cloud, or as a managed offering, holding embeddings plus metadata under a user-defined schema with an HNSW index. |
| Semantic Boundary Chunker | Software component | A document chunker that splits text at semantic boundaries such as section headers and paragraph breaks, targeting an average chunk size. |
| Semantic Deduplicator | Software component | A deduplicator that compares document embeddings and removes documents whose semantic similarity exceeds a configured threshold. |
| Source Change Detector | Software component | An ingestion component that monitors source systems for modified documents using versions and modification timestamps and queues changed items for reindexing. |
| Source Document Schema | Data artifact | A formal data contract listing the required fields, data types and constraints (e.g., title, content, date, source) that every document must satisfy to enter the ingestion pipeline. |
| Source Extractor Interface | Interface | A uniform extraction contract under which every data source connector returns records carrying at least an identifier, content and last-updated timestamp. |
| Source Media Store | Data store | A store of original non-text source assets (images, charts, audio recordings) referenced from chunk metadata for visual reasoning, citation, and playback. |
| Source Record Extractor | Software component | An ingestion component that pulls entity records from multiple operational source systems into a staging area for resolution and graph construction. |
| Source Reputation Catalog | Data artifact | A table of reliability scores per knowledge source type or publisher (e.g., peer-reviewed paper vs. unverified social post) used to weight retrieval ranking. |
| Source Schema Validator | Software component | A validation component that checks extracted records or API responses against the expected source schema, surfacing source schema or API contract changes before processing. |
| Speaker Diarizer | Software component | A transcription post-processing component that segments a multi-speaker recording by speaker and labels each transcript segment with a speaker identity. |
| Speech Recognition Model | Model asset | A transformer ASR model that encodes audio spectrograms and decodes text with word- or sentence-level timestamp alignment, offered in size tiers trading accuracy for latency. |
| Speech Transcriber | Software component | An automatic speech recognition component that converts recorded audio into transcripts segmented at sentence level with start and end timestamps. |
| Subgraph Cache | Data store | A cache holding frequently accessed subgraph query results so repeated traversals are not re-executed. |
| Supporting Fact Extractor | Software component | A component that isolates the specific sentences within retrieved passages that support an answer, rather than passing whole passages to reasoning. |
| Text Cleaning Profile | Data artifact | A configuration artifact setting cleaning aggressiveness, such as case and punctuation preservation, per source type or language. |
| Text Embedding Model abstract | Model asset | A trained encoder model that maps text (queries, knowledge chunks, episode summaries) to fixed-dimension dense vectors whose cosine similarity approximates semantic relatedness. |
| Text Embedding Service | Software component | An embedding service that encodes text chunks, including text generated from images and audio, into a single text embedding space. |
| Text Normalizer | Software component | A transformation component that strips markup, control characters and whitespace artifacts from extracted text to produce standardized input for chunking and embedding. |
| Text-to-Graph-Query Translator | Software component | A software component that uses an LLM, grounded in the graph schema, to translate a natural-language question into an executable graph query. |
| Time-Indexed Transcript Chunker | Software component | A document chunker that groups timestamped transcript segments into duration-bounded windows ending at sentence boundaries, carrying start/end timestamps and source metadata. |
| Topic-Shift Chunker | Software component | A document chunker that encodes sentences and places boundaries where embedding discontinuities indicate topic shifts, yielding variable-size coherent chunks. |
| Unified Embedding Retriever | Software component | A multimodal retriever that encodes the text query into a shared text-image embedding space and retrieves text passages and images by cosine similarity from one store. |
| VLM-based Image Type Classifier | Software component | An image type classifier that prompts a vision-language model to categorise each image (e.g., 'chart/plot' versus 'general') before routing. |
| Vector Batch Ingestor | Software component | An ingestion component that groups prepared chunks, metadata and optional pre-computed vectors into adaptively sized batches and writes them to a vector store with retries and progress reporting. |
| Vector Collection Schema | Data artifact | An explicit schema for a vector store collection declaring the fixed embedding dimensionality plus stored chunk text, source identifier, JSON metadata and an auto-generated primary key. |
| Vector Index Build Configuration abstract | Data artifact | A build-time configuration fixing a vector collection's index type, graph connectivity (M), construction candidate-list size (efConstruction) and distance metric; changing it requires full re-indexing. |
| Vector Index Builder | Software component | A load-stage component that builds the configured approximate-nearest-neighbour index over a vector collection with the similarity metric matching the embedding model, then loads it into query-node memory. |
| Vector Index Store abstract | Data store | A database that stores vector embeddings and answers similarity queries. |
| Vector Retriever abstract | Software component | A retriever that ranks document chunks by embedding similarity to the query. |
| Vector Search Configuration | Data artifact | A query-time configuration setting ANN search depth (ef) and result count (k), adjustable per query without rebuilding the index. |
| Vector Store Query API abstract | Interface | The network interface through which clients authenticate to a vector store and submit schema, ingestion and search requests. |
| Vector Store REST API | Interface | An HTTP/JSON vector store interface offering broad client compatibility and easy debugging with standard HTTP tools. |
| Vector Store gRPC API | Interface | A binary-protocol vector store interface using HTTP/2 multiplexing for lower latency and higher throughput under load. |
Model Serving (119)
Component that hosts, optimizes, routes, and executes model inference.
| Component | Kind | Definition |
|---|---|---|
| Adaptive Batch Size Controller | Software component | A control component that adjusts inference batch size at runtime from observed queue depth and latency, enlarging batches during surges and shrinking them to hold latency objectives. |
| Agent Packaging Interface | Interface | A standard load-context and predict contract wrapping an agent so any compatible serving platform can load its artifacts and invoke it without deployment-specific code. |
| Attention Kernel abstract | Software component | An abstract accelerator kernel implementation that computes transformer self-attention over the current sequence and cached key-value projections. |
| Balanced Batching Config | Data artifact | An inference serving configuration with moderate batch-size ranges, millisecond-scale batching timeouts and multiple instances per GPU, allowing opportunistic batching without pathological latency at low traffic. |
| Balanced Vision-Language Model | Model asset | A mid-sized vision-language model balancing visual understanding accuracy against compute cost for cloud serving. |
| Cache Dependency Index | Data store | A store mapping each cached result to the data sources (e.g., database tables) it was derived from, so writes to a source identify every dependent entry to invalidate. |
| Cache Invalidator | Software component | A component that removes specific cache entries when underlying data changes, driven by database triggers, broadcast events, webhooks or operator commands. |
| Cache Policy | Data artifact | A configuration specifying cache TTLs per layer, eviction policy, key normalization and coordination strategy. |
| Cache Warmer | Software component | A batch job that preloads responses for popular queries into the cache before traffic arrives. |
| Cache-Aware Inference Router | Software component | A load balancer for inference replicas that selects the target instance using model-serving state such as KV-cache contents, per-instance queue length, accelerator load and loaded LoRA adapters, plus request priority and cost. |
| Cacheable Prefix Prompt Layout | Data artifact | A prompt-structure convention that places static, frequently reused content (system instructions, tool definitions, stable user profile) first and variable request-specific content last so provider prefix caches can match it. |
| Complexity Pattern Rule Set | Data artifact | A configuration of keyword patterns and a default tier that a rule-based classifier uses to map query phrasing to complexity classes. |
| Concurrent Inference Request Dispatcher | Software component | A client-side dispatcher that submits many independent inference requests concurrently or pipelined over pooled, multiplexed connections so the inference server can batch them into shared forward passes. |
| Contiguous KV Cache Allocator | Software component | A KV-cache allocator that reserves one contiguous buffer per request sized for the maximum sequence length at arrival. |
| Cost-Aware Hybrid KV Cache Eviction Policy | Data artifact | A hybrid eviction policy combining recency, priority and recomputation cost, biasing eviction toward short caches that are cheap to regenerate. |
| Database Response Cache | Data store | A cache stored as relational table records with ACID properties, enabling transactional invalidation, SQL querying and durable history of cached outputs. |
| Distilled Draft Model | Model asset | A separate small draft model trained by knowledge distillation to minimize KL divergence from the target model's logits, learning the target's preferences rather than accuracy. |
| Distributed Response Cache | Data store | A network-accessible key-value cache shared by all replicas so a response computed once benefits every instance. |
| Draft Length Controller | Software component | A runtime control component that tracks speculative acceptance over a sliding window and raises or lowers the draft length K, disabling speculation when acceptance falls below a threshold. |
| Draft Token Proposer abstract | Model asset | Model weights that propose K speculative future tokens for a target model to verify in one parallel forward pass, selected for distributional alignment with the target rather than task accuracy. |
| Dynamic Batch Scheduler | Software component | A batch scheduler that queues requests per model and dispatches a batch when a preferred batch size is reached or a maximum queue delay expires. |
| Dynamic Model Loader | Software component | An inference-server component that loads, unloads and switches model versions from a model repository at runtime without restarting the server or disrupting in-flight requests. |
| Edge Inference Runtime | Software component | An on-device inference runtime that executes compact, hardware-targeted model formats locally, operating autonomously when connectivity is absent. |
| Edge Vision-Language Model | Model asset | A compact vision-language model (single-digit billions of parameters) sized to run on embedded edge GPU devices. |
| Edge-Optimized Model | Model asset | A compact model (quantized, pruned, distilled or efficiency-designed) packaged for a specific class of edge hardware within its memory and latency budget. |
| Engine Build Configuration | Data artifact | A build-time configuration selecting engine precision, attention kernel plugins, paged KV-cache use and batch limits when compiling a model into an inference engine. |
| Engine Builder | Software component | A model optimisation component that compiles a model into an accelerated inference engine using kernel fusion and precision reduction. |
| FIFO KV Cache Eviction Policy | Data artifact | An eviction policy that removes the oldest requests' KV caches first. |
| FP16 Inference Engine | Model asset | A compiled half-precision model engine offering near-FP32 accuracy with halved memory, used as the accuracy baseline for lower-precision builds. |
| FP4 Inference Engine | Model asset | An optimized inference engine using 4-bit floating-point representations for maximum compression. |
| FP8 Quantized Engine | Model asset | A compiled model engine using 8-bit floating-point precision for higher throughput with minimal accuracy loss on supporting hardware. |
| Fallback Chain Policy | Data artifact | A priority-ordered list of alternative resources (primary provider, secondary provider on different infrastructure, cached results) that a router attempts in sequence when the preferred resource fails. |
| Fallback LLM Inference Service | Software component | A secondary LLM inference service from an independent provider, held in reserve to serve requests when the primary inference service is persistently degraded or quota-exhausted. |
| Feature Steering Controller | Software component | An inference-time component that suppresses error-associated features or amplifies correctness-associated features in model activations to correct reasoning in real time. |
| Foundation LLM abstract | Model asset | General-purpose large language model weights, ranging from frontier models used for planning to smaller models used for execution. |
| Fused Block-wise Attention Kernel | Software component | An exact attention kernel that computes attention in fused blocks without materializing the score matrix, cutting memory traffic while producing identical results. |
| High-Accuracy Vision-Language Model | Model asset | The largest vision-language model tier, maximizing accuracy on visual question answering, OCR and chart interpretation at the highest compute cost. |
| Hosted Provider Inference API | Interface | A cloud-hosted model provider's API offering function calling under provider-specific request, response, and schema-dialect conventions. |
| INT4 Quantized Engine | Model asset | A compiled model engine with 4-bit weights, optionally using activation-aware or mixed-precision schemes that keep influential weights at higher precision. |
| INT8 Quantized Engine | Model asset | A compiled model engine with 8-bit integer weights and activations whose quantization parameters come from calibration on representative inputs. |
| In-Flight Batch Scheduler | Software component | A batch scheduler inside an LLM generation engine that admits new sequences and retires finished ones at each generation iteration instead of waiting for a full batch. |
| In-Process Response Cache | Data store | A cache held in a replica's application memory (e.g., dictionary or LRU), private to that instance and lost on restart. |
| Independent Draft Model | Model asset | An existing small pretrained language model used unmodified as a separate draft for speculative decoding. |
| Inference Backend abstract | Software component | A pluggable execution module, loaded dynamically by an inference server according to model configuration, that runs a model in one specific framework runtime. |
| Inference Batch Scheduler abstract | Software component | A server-side scheduler that groups concurrent inference requests into shared GPU executions to raise hardware utilisation, transparently to clients. |
| Inference Engine Selector | Software component | A startup component that inspects GPU architecture, compute capability and VRAM, selects a pre-compiled engine matching the detected hardware, and falls back to a portable runtime when none exists. |
| Inference Queue Policy | Data artifact | A per-model configuration of request priority levels, queue timeout actions and maximum queue depth that provides admission control and backpressure for an inference server. |
| Inference Server | Software component | A containerised model-serving runtime that hosts one or more models behind standard APIs, applying dynamic batching, multiple model instances, compiled engines, and multi-GPU distribution. |
| Inference Service Image abstract | Data artifact | A container image packaging an inference runtime, engine-selection logic and a standard API so the same image deploys identically across cloud, data center and workstation GPUs. |
| Inference Serving Configuration abstract | Data artifact | A configuration artifact fixing the served model, sampling temperature, maximum output tokens, engine optimisation, and batching and streaming modes for an inference endpoint. |
| Intent Classifier Model | Model asset | Trained classifier weights that map a user utterance, in conversational context, to an intent category with a confidence score. |
| Interchange Model Graph | Model asset | A framework-neutral serialised computation graph (layers, operations, control flow and weights) of a trained model, used as input to quantization and engine compilation. |
| KV Cache Allocator abstract | Software component | An abstract inference-engine component that allocates and releases accelerator memory for each request's key-value cache. |
| KV Cache Eviction Policy abstract | Data artifact | An abstract policy deciding which requests' KV caches to evict or defer when cache demand exceeds available memory. |
| KV Cache Manager | Software component | An inference-engine component that retains attention key-value states, including for shared prompt prefixes, so later requests skip recomputing them. |
| KV Cache Store | Data store | An accelerator-memory store of per-sequence attention key and value projections reused during autoregressive generation instead of recomputing earlier tokens. |
| LLM Generation Backend | Software component | An inference backend wrapping an autoregressive LLM generation engine that manages its own iteration-level batching and KV cache internally. |
| LLM Inference Service | Software component | A service that returns LLM completions and structured function calls for prompts that include task context and tool metadata. |
| LLM Provider Adapter | Software component | A client abstraction presenting a unified chat/completion interface over multiple LLM providers so that the model provider can be swapped by configuration without changing agent code. |
| LRU KV Cache Eviction Policy | Data artifact | An eviction policy that removes KV caches of requests that have not generated tokens recently. |
| Large Language Model Tier | Model asset | A frontier-scale model tier (e.g., ~405B parameters) that may exceed single-GPU memory and require sharding across interconnected GPUs. |
| Latency-Optimized Deployment Profile | Data artifact | A model deployment profile that minimises time-to-first-token, e.g., FP16 precision on a single GPU, sacrificing throughput. |
| Latency-Oriented Batching Config | Data artifact | An inference serving configuration with small maximum batch sizes and short batch timeouts to minimise per-request latency. |
| Latency-Tuned Decoding Configuration | Data artifact | An inference serving configuration of decoding parameters (low temperature, small max_tokens, reduced top_p, zero presence penalty) that trades response diversity and length for lower per-request latency. |
| Memory-Optimized Deployment Profile | Data artifact | A quantized model deployment profile that reduces memory footprint so a model fits smaller GPUs or edge devices, possibly at some cost in throughput and latency. |
| Model Artifact Cache | Data store | A shared store of model weights and adapters mounted by inference replicas so models load locally instead of being re-downloaded by each replica. |
| Model Deployment Profile abstract | Data artifact | A pre-validated, hardware-specific bundle of serving decisions for one model (precision format, multi-GPU layout, batch sizes) selected when an inference microservice is deployed. |
| Model Ensemble Definition | Data artifact | A declarative pipeline configuration specifying member models and the input/output tensor mappings, including conditional routes, between them. |
| Model Ensemble Orchestrator | Software component | An inference-server component that executes a declaratively defined multi-model pipeline server-side, feeding each model's outputs to the next without network round-trips. |
| Model Graph Exporter | Software component | A model optimisation component that serialises a framework-specific model into a framework-neutral computation-graph format with declared dynamic input dimensions. |
| Model Metadata Descriptor | Data artifact | A machine-readable description of a model's architecture, context length, tokenizer settings and build environment that serving runtimes use to configure backend engines. |
| Model Pruner | Software component | A model optimisation component that removes low-contribution weights, neurons or layers and briefly fine-tunes to recover accuracy until a target sparsity is reached. |
| Model Quantizer | Software component | A model optimisation component that re-represents weights and activations at lower numeric precision to cut memory use and raise throughput without retraining. |
| Model Repository | Data store | A versioned directory store of model artifacts and their serving configurations, mounted by an inference server from persistent or object storage. |
| Model Router | Software component | A routing component that directs each query to a model tier according to predicted complexity, user tier or heuristics to minimise cost at acceptable quality. |
| Model Routing Policy | Data artifact | A declarative policy mapping request characteristics such as token length or reasoning complexity to model tiers and providers, together with spending caps, applied centrally by the AI gateway. |
| Model-Specific Inference Image | Data artifact | An inference service image dedicated to one model, shipping engines pre-compiled and validated for target GPU configurations with published performance benchmarks and automated integrity checking. |
| Multi-Model Inference Image | Data artifact | An inference service image supporting a broad range of model architectures loaded on demand from catalogs, hubs or local storage and switched through API parameters. |
| NLI Scoring Service | Software component | A model-serving service that returns entailment and contradiction probabilities for premise-hypothesis pairs using a natural language inference model. |
| Native Function-Calling API abstract | Interface | A model-serving interface that accepts tool definitions as JSON schemas and returns selected tool calls as guaranteed-valid structured JSON objects instead of free text requiring parsing. |
| OpenAI-Compatible Inference API | Interface | A standardised HTTP inference API following OpenAI request formats, through which text, vision and embedding models are called uniformly regardless of the underlying model. |
| Optimized Inference Engine abstract | Model asset | A compiled, precision-reduced model engine produced for low-latency, high-throughput serving. |
| Output Token Limit Policy | Data artifact | A calibrated per-feature configuration of the maximum number of output tokens a model may generate, set to the smallest limit that preserves measured response quality. |
| Paged KV Cache Allocator | Software component | A KV-cache allocator that assigns fixed-size, possibly non-contiguous pages on demand from a free pool and maps them through a page table. |
| Portable LLM Runtime Backend | Software component | An inference backend that compiles dynamically at startup for any CUDA-capable GPU with sufficient memory, trading some peak performance for broad hardware compatibility. |
| Pre-compiled Engine Backend | Software component | An inference backend executing engines pre-compiled for a specific GPU architecture and memory size, with architecture-specific kernels, validated FP8/INT8 quantization and memory optimizations. |
| Priority KV Cache Eviction Policy | Data artifact | An eviction policy that preserves caches of high-priority requests and evicts low-priority ones under memory pressure. |
| Quantization Calibration Dataset | Data artifact | A sample of historical production-like inputs run through the model to observe per-layer activation ranges that set integer quantization parameters. |
| Quantization Calibrator | Software component | A model optimisation component that runs representative inputs through a network to collect per-tensor activation statistics and computes quantization thresholds (scaling factors) minimising information loss. |
| Quantized Model Checkpoint | Model asset | A framework-neutral model graph whose weights are stored at reduced integer or floating-point precision together with embedded quantization metadata (scaling factors, zero points), not yet compiled for a target GPU. |
| Query Complexity Assessor abstract | Software component | An abstract component that classifies an incoming query's complexity (e.g., simple, moderate, complex) before generation so that a router can select an appropriately sized model. |
| Query Complexity Classifier | Software component | A lightweight classifier that predicts a query's complexity from its embedding to inform model-tier routing. |
| Reasoning Chain Cache | Data store | A cache of intermediate reasoning steps and retrieved information keyed by query similarity, reused and adapted to answer related queries without repeating retrieval and reasoning. |
| Reasoning Language Model | Model asset | A language model tier trained to emit extended internal reasoning, trading markedly higher token consumption for accuracy on complex tasks. |
| Request Batcher | Software component | An agent-layer component that accumulates multiple concurrent user queries and submits them to the model inference API as a single batch. |
| Response Cache abstract | Data store | A cache of complete agent/LLM responses keyed by (normalized) query so repeated requests are answered without inference. |
| Rule-Based Complexity Classifier | Software component | A query complexity assessor that matches predefined keyword patterns to label queries as simple or complex quickly and deterministically. |
| Self-Hosted Inference Endpoint | Interface | A model inference endpoint served from the organisation's own GPU infrastructure that remains compatible with common function-calling request and response formats. |
| Self-Speculative Decoding Head | Model asset | Lightweight prediction layers attached to the target model that predict several future tokens simultaneously, enabling speculation without a separate draft model. |
| Semantic Cache | Data store | A response cache that matches incoming queries to cached ones by embedding similarity, so paraphrased questions reuse the same answer. |
| Sequence Batch Scheduler | Software component | A batch scheduler for stateful models that binds each request sequence, identified by a correlation ID, to a slot on one model instance while dynamically batching across concurrent sequences. |
| Serving Configuration Optimizer | Software component | An automated search component that sweeps inference-server settings (instance count, dynamic-batching size and timeout, concurrency, cache sizing), measures each, and reports the latency-throughput Pareto frontier. |
| Serving Parameter Tuner | Software component | A runtime optimisation component that adjusts serving parameters such as GPU count, batch size and memory allocation from observed production workload patterns. |
| Small Language Model Tier | Model asset | A fast, low-cost model tier (about 8-13B parameters) fitting a single GPU, often fine-tuned for a domain to match larger models on routine queries. |
| Sparse Attention Kernel | Software component | An attention kernel that restricts which tokens attend to which others, using local windows, strided global positions or anchor tokens, to reduce attention cost below quadratic. |
| Speculative Decoder | Software component | An inference-engine component that drafts candidate tokens with a small fast model and verifies them in parallel with the large target model, keeping only tokens the target accepts. |
| Speculative Decoding Configuration | Data artifact | A configuration selecting the draft model, target model and speculation window length for speculative decoding. |
| Speculative Draft Model abstract | Model asset | A small, fast language model that proposes multi-token candidate continuations for a larger target model to verify in one forward pass. |
| Speech Synthesis Model | Model asset | A trained text-to-speech model, possibly multilingual or zero-shot, that generates speech waveforms from text and prosody controls. |
| Standard Attention Kernel | Software component | An attention kernel that materializes the full attention-score matrix in accelerator memory before applying it to values. |
| Standard Language Model Tier | Model asset | A standard-capability model tier (e.g., ~70B parameters) used for moderately complex queries. |
| Static Batch Scheduler | Software component | A batch scheduler that waits until a fixed number of requests accumulate before executing, maximizing GPU saturation at the cost of unbounded wait for early arrivals. |
| TF32 Inference Engine | Model asset | A model execution configuration using the TensorFloat-32 format (FP32 exponent range with a 10-bit mantissa) that gives near-FP32 accuracy with FP16-like speed and no quantization workflow. |
| Tensor Framework Backend | Software component | An inference backend that executes a fixed-graph model (TensorFlow, TorchScript, ONNX, TensorRT, OpenVINO, tree ensembles, Python) on batched input tensors supplied by the server. |
| Tensor Inference API | Interface | A framework-agnostic HTTP/gRPC inference interface through which clients submit named input tensors to a specific model and version and receive output tensors. |
| Throughput-Optimized Deployment Profile | Data artifact | A model deployment profile that maximises sustained queries per second, e.g., via FP8 precision and multi-GPU tensor parallelism, at the cost of higher per-request latency. |
| Throughput-Oriented Batching Config | Data artifact | An inference serving configuration with large maximum batch sizes and longer batch accumulation windows to maximise corpus-level throughput. |
| Tokenizer | Software component | A model-specific component that segments text into the subword tokens a language model processes, determining the token counts against which context capacity is measured. |
| Vision-Language Model abstract | Model asset | A generative multimodal model combining a vision encoder with a language model via cross-attention, producing captions and answers about images, including reading visible text. |
Model Adaptation (97)
Component of the model lifecycle: data curation, fine-tuning, preference optimisation, data flywheel.
| Component | Kind | Definition |
|---|---|---|
| AI-Feedback Preference Labeler | Software component | A language-model judge that compares two candidate responses against a randomly selected constitutional principle and records which better adheres, producing AI-generated preference labels. |
| ASR Language Model Trainer | Software component | A training component that builds an n-gram or neural language model for speech decoding from a corpus of domain-specific text. |
| ASR Word Boost List | Data artifact | A configuration listing domain-specific terms and boost scores that add a decoding bonus to transcript hypotheses containing those terms. |
| Active Learning Sampler | Software component | A sampling component that selects production interactions for detailed human review, prioritizing high-uncertainty cases and diverse examples from underrepresented scenarios. |
| Adversarial Simulation Agent | Software component | A simulated participant agent (legitimate or fraudulent) that generates transactions, with fraud variants evolving evasion tactics. |
| Agent Trajectory Dataset | Data artifact | A training dataset of complete agent trajectories, sequential records of observations, reasoning chains, tool selections, actions and outcomes, including both successful and failure trajectories. |
| Alignment Prompt Dataset | Data artifact | A collection of diverse prompts reflecting the scenarios a model will face in deployment, sampled to elicit candidate responses for annotation and policy completions during RL optimization. |
| Annotated Trace Dataset | Data artifact | A dataset of reasoning steps labeled correct or incorrect with explanatory annotations, used to train verifiers and refine prompts. |
| Annotation Quality Monitor | Software component | A quality-control component that cross-checks annotations of identical pairs, tracks inter-rater agreement and statistically detects annotators with systematic biases. |
| Behavior Cloning Trainer | Software component | An imitation learner that trains a policy by supervised learning to predict the expert's action for each demonstrated state. |
| Candidate Response Sampler | Software component | A component that generates several genuinely different candidate responses per prompt by varying sampling parameters, prompting strategies or model checkpoints, for pairwise preference comparison. |
| Case-Based Rule Refiner | Software component | A rule learner that analyses accumulated misclassified cases to propose added conditions or new rules that correct an existing expert rule set. |
| Centralized-Training Decentralized-Execution Learner | Software component | A multi-agent policy learner that trains with a centralized view of global state and all agents' actions, then extracts individual policies that act on local observations only. |
| Composite Reward Scorer | Software component | A reward scorer, often itself an agent, that synthesizes human-preference scores with factuality verification, instruction-following metrics and safety-filter signals into one reward. |
| Constitutional Reward Scorer | Software component | A reward scorer whose reward is a reward model's prediction of which response the principle-guided AI judge would prefer. |
| Constitutionally Aligned Model | Model asset | A language model checkpoint whose weights were trained by critique-revision supervised fine-tuning and AI-feedback preference optimization to adhere to a constitution. |
| Continual Learning Trainer | Software component | A training component that updates a learned model on new experience while rehearsing sampled past experience and constraining gradients so performance on earlier tasks is preserved. |
| Continued Pretrainer | Software component | A training component that further pretrains a base language model on a domain text corpus with the next-token prediction objective before task-specific fine-tuning. |
| Critique-Revision Dataset | Data artifact | A supervised training dataset pairing harm-eliciting prompts with principle-aligned revised responses produced by self-critique and revision. |
| Critique-Revision Generator | Software component | A training-data generator that has a model critique its own response against a randomly sampled constitutional principle, then revise the response to remove identified violations. |
| Curated Training Corpus | Data artifact | A filtered, deduplicated, PII-redacted and domain-prioritized training dataset saved in an efficient format, output of the curation pipeline and input to model training. |
| Curriculum Scheduler | Software component | A training component that sequences tasks from simple to complex and, when automatic, advances or regresses task difficulty according to the learner's current success rate. |
| DAgger Trainer | Software component | An imitation learner that iteratively executes its current policy, has an expert label the visited states, aggregates these labels into the dataset, and retrains. |
| Data Curator | Software component | A model-adaptation component that filters, deduplicates and quality-scores raw trajectories or demonstrations, retaining only examples that satisfy outcome-based quality criteria. |
| Direct Preference Optimizer | Software component | A preference optimizer that trains the policy directly on preference pairs with a loss favouring preferred over non-preferred responses, without a separate reward model. |
| Domain ASR Language Model | Model asset | An n-gram or neural language model trained on domain text whose word co-occurrence priors guide the speech decoder toward domain terminology. |
| Domain Classifier Model | Model asset | A transformer text classifier trained on manually labeled examples to predict a document's domain or topical relevance category. |
| Domain Relevance Classifier | Software component | A curation stage that scores each document's topical relevance to the target domain with a trained classifier and filters or prioritizes documents by that score. |
| Domain Text Corpus | Data artifact | An unlabeled corpus of domain-specific text, such as technical manuals, research papers, textbooks and internal documentation, used for continued pretraining. |
| Domain-Adapted Base Model | Model asset | A base language model checkpoint whose weights have been continued-pretrained on a domain corpus, serving as the starting point for task fine-tuning. |
| Ensemble Reward Scorer | Software component | A reward scorer that combines scores from multiple independent reward models trained on different data or with different architectures into one reward signal. |
| Expert Demonstration Dataset | Data artifact | A dataset of observed expert behaviour recording actions taken in various states, used to infer the expert's implicit utility function. |
| Fairness-Constrained Reward Scorer | Software component | A reward scorer that rewards decisions satisfying a selected group-fairness metric, such as equalized odds, alongside business-relevant criteria like debt-to-income ratio and credit history. |
| Fairness-Constrained Trainer | Software component | An in-processing bias mitigator that trains a decision model to minimize prediction error subject to fairness constraints or penalties on demographic parity or equalized odds violations. |
| Fairness-Rebalanced Dataset | Data artifact | A training dataset whose demographic representation has been balanced by resampling or augmentation, or annotated with per-instance weights, for fairness-aware training. |
| Federated Aggregator | Software component | A central training component that distributes the global model to devices and aggregates their locally computed updates, optionally with differential-privacy noise, into an improved global model. |
| Feedback Router | Software component | A routing component that classifies validated feedback by error type and directs it to the responsible improvement target: tool interfaces, planning or prompt logic, or retrieval knowledge sources. |
| Feedback Validator | Software component | A multi-layer filter that separates genuine quality signal from noisy, biased or adversarial user feedback before it reaches optimization or training processes. |
| Fine-Tuned Agent Model | Model asset | A language model whose parameters have been specialized on agent trajectories or preference data to internalize domain decision logic and behavioural patterns. |
| Fine-Tuning Pipeline abstract | Software component | A software component that adapts model weights to a domain or task using curated training data. |
| Full-Parameter Fine-Tuner | Software component | A fine-tuning pipeline that updates all model weights, storing gradients and optimizer states for every parameter. |
| Hindsight Goal Relabeler | Software component | A training component that relabels failed goal-conditioned trajectories as successful attempts at the goal state actually achieved and stores them for replay. |
| Imitation Learner abstract | Software component | An abstract policy learner that derives a policy from expert demonstrations rather than autonomous trial-and-error exploration. |
| Independent Multi-Agent Learner | Software component | A multi-agent policy learner in which each agent runs its own single-agent RL algorithm, treating other agents as part of the environment. |
| Inductive Rule Learner | Software component | A rule learner that induces general if-then rules from attribute patterns distinguishing outcomes across labelled training examples. |
| Instruction Demonstration Dataset | Data artifact | A curated training dataset of instructions paired with high-quality responses demonstrating the desired style, tone and approach, used for supervised fine-tuning before preference optimization. |
| Intent Failure Log | Data store | A store of failed intent inferences paired with the intents eventually established through clarification or escalation. |
| Inverse RL Reward Learner | Software component | An imitation learner that infers the reward function expert demonstrations optimize, then obtains a policy by reinforcement learning on that inferred reward. |
| Inverse Reward Learner | Software component | A preference elicitor that recovers the reward or utility function under which observed expert state-action behaviour would be optimal. |
| Knowledge Distiller | Software component | A training component that trains a smaller student model to match a larger teacher model's output probability distributions. |
| Labeled Decision Case Dataset | Data artifact | A collection of historical cases whose inputs and correct decision outcomes are known, used to induce decision rules. |
| Language Identification Filter | Software component | A curation filter that predicts each document's language with a pretrained classifier and retains only documents in the configured target languages. |
| Language Identification Model | Model asset | A pretrained lightweight classifier that predicts the language of a text from character n-gram features. |
| LoRA Adapter | Model asset | A small set of trainable low-rank weight matrices that modify a frozen base model's behaviour for a domain or task. |
| LoRA Fine-Tuner abstract | Software component | A parameter-efficient fine-tuning pipeline that freezes base model weights and trains small low-rank adapter matrices. |
| Misclassified Case Store | Data store | A store of production cases where a rule-based decision differed from the later-confirmed outcome, with the facts and rules involved. |
| Moderation Feedback Integrator | Software component | A feedback component that systematically converts every human moderation decision into filter updates, either new deny-list patterns or labeled examples for classifier retraining. |
| Moderation Label Dataset | Data artifact | A growing collection of content items labeled harmful or benign by human moderators, with justifications, used as ground truth for filter metrics and as training data for classifier updates. |
| Multi-Agent Policy Learner abstract | Software component | An abstract policy learner that trains policies for multiple agents learning simultaneously in a shared cooperative, competitive, or mixed-motive environment. |
| Neural Architecture Searcher | Software component | A design-time component that searches layer depths, widths, connections and activations for architectures maximising accuracy per computation or byte on target hardware. |
| Neuro-Symbolic Trainer | Software component | A training component that trains neural components jointly with symbolic constraints via differentiable relaxations, straight-through estimators, weighted constraint loss, or reinforcement-learning bridges that treat symbolic evaluation as reward. |
| On-Device Trainer | Software component | A device-side training component that updates a received global model on local private data and returns only the resulting weight updates. |
| Opponent Policy League | Data store | A store of a diverse population of agent policies, including past versions and specially trained exploiter policies, used as opponents in competitive multi-agent training. |
| Output Correction Dataset | Data artifact | A dataset of before-and-after pairs contrasting agent-generated outputs with the user-edited versions, used for fine-tuning without explicit labeling. |
| Partitioned Dataset Reader | Software component | A curation-stage loader that lazily streams a large line-delimited document dataset from disk-backed storage in batches sized to fit accelerator memory, validating record schema on load. |
| Perplexity Filter | Software component | A curation filter that computes each document's perplexity under a reference language model and discards documents exceeding a threshold as random, spammy or corrupted text. |
| Perplexity Reference Model | Model asset | A generative language model trained on relatively clean text whose average per-token log-likelihood is used to score how typical a document is. |
| Policy Learner abstract | Software component | An abstract model-adaptation component that updates a learned policy model from interaction experience or expert demonstrations. |
| Policy/Value Network Trainer | Software component | A training component that fits a policy network to expert demonstrations and a value network to self-play game outcomes for use in neural-guided search. |
| Preference Agreement Filter | Software component | A data-curation filter that removes preference comparisons whose annotator votes are near-random while retaining high- and moderate-agreement examples. |
| Preference Dataset | Data artifact | A dataset of prompts with pairs of candidate responses labeled by which is preferred, per criterion, used to train reward models or directly optimize policies. |
| Preference Elicitor abstract | Software component | An abstract component that derives utility or reward function parameters representing a principal's preferences from observed behaviour instead of explicit engineering. |
| Preference Label Aggregator | Software component | A data component that combines redundant annotators' judgments on the same comparison into a preference label annotated with the observed agreement distribution. |
| Preference Optimization Config | Data artifact | A configuration artifact fixing preference-optimization hyperparameters such as the KL-divergence penalty coefficient, PPO update settings and training duration or early-stopping criteria. |
| Preference Optimizer abstract | Software component | An abstract model-adaptation component that updates a supervised-fine-tuned policy model so its outputs better match human preferences expressed as comparative judgments. |
| Preference Reward Scorer | Software component | A reward scorer whose reward is solely the learned reward model's prediction of human preference. |
| Production Feedback Dataset | Data artifact | A curated training dataset built from production inference logs, human corrections, user feedback and clarified intents for periodic model retraining. |
| Prompt Optimizer | Software component | A model-adaptation component that improves prompt artifacts through iterative mutation-evaluation-selection cycles scored against multi-objective evaluation metrics until convergence criteria are met. |
| QLoRA Fine-Tuner | Software component | A LoRA fine-tuning pipeline that quantizes the frozen base model to 4-bit precision while keeping trainable adapters at full precision. |
| RLHF Policy Optimizer | Software component | A preference optimizer that updates the policy with reinforcement learning (e.g., PPO) to maximize reward-scorer rewards while constraining divergence from its initialization. |
| Raw Document Corpus | Data artifact | An uncurated collection of documents or transcripts in line-delimited JSON, each record holding text plus metadata such as source URL, extraction timestamp and document type, awaiting curation. |
| Red-Team Prompt Dataset | Data artifact | A collection of challenging prompts deliberately designed to elicit harmful, toxic, deceptive or biased responses, used as inputs to supervised critique-revision training. |
| Reference Policy Model | Model asset | A frozen copy of the supervised-fine-tuned model whose token distributions anchor preference optimization, against which divergence of the evolving policy is measured and penalized. |
| Reinforcement Learning Policy Learner | Software component | A learning component that acquires a decision policy by trial-and-error interaction, updating it from received reward signals. |
| Representation Rebalancer | Software component | A pre-processing bias mitigator that balances demographic representation in training data by resampling, instance reweighting, or targeted augmentation of underrepresented groups. |
| Revealed Preference Learner | Software component | A preference elicitor that updates utility weights from which presented options users select and from outcome feedback, learning weights that best explain observed choices. |
| Reward Model | Model asset | A neural network, initialized from a pre-trained language model with a scalar output head, that scores a prompt-response pair by predicted human preference. |
| Reward Model Trainer | Software component | A training component that fits a reward model to pairwise preference data with a pairwise ranking loss, validating on held-out comparisons. |
| Reward Scorer abstract | Software component | An abstract component that computes the scalar reward signal for a prompt-response pair used to guide reinforcement-learning policy optimization. |
| Reward Shaper | Software component | A training-time component that adds intermediate shaping rewards to a sparse reward signal to accelerate learning while preserving the optimal policy. |
| Rule Learner abstract | Software component | An abstract adaptation component that proposes new or refined if-then rules from labelled decision cases while preserving interpretable rule structure. |
| Segment-Routed Reward Scorer | Software component | A reward scorer that selects among separate reward models trained for different user segments, scoring each response with its segment's model to personalize alignment. |
| Synthetic Data Generator | Software component | A model-adaptation component that prompts a generative model to produce many synthetic task trajectories or example variations from human seed examples or tutorial-derived task goals. |
| Synthetic Dataset | Data artifact | A generated dataset of diverse, realistic scenarios (e.g., AML, card fraud, bot attacks) for training and evaluation. |
| Training Hyperparameter Tuner | Software component | An automated component that explores model architectures, learning rates, training durations and regularization settings for training jobs without manual configuration. |
| Training Pipeline Orchestrator | Software component | A model-adaptation orchestrator that sequences data curation, continued pretraining, supervised fine-tuning, reward modeling and preference optimization stages into a reproducible, automated pipeline. |
| Trajectory Harvester | Software component | A data-flywheel component that extracts successful, and instructive failed, production executions from traces as candidate demonstrations, training trajectories and preference data. |
Infrastructure (125)
Component of compute, container orchestration, accelerator partitioning, networking, and autoscaling.
| Component | Kind | Definition |
|---|---|---|
| API Gateway Proxy abstract | Software component | An abstract reverse proxy at the system entry point that applies cross-cutting traffic policies and forwards requests to backend agent services. |
| Accelerator Container Runtime | Software component | A runtime extension, backed by the node GPU driver, that configures containers so their processes can access host accelerators. |
| Accelerator Operator | Software component | A cluster controller that automates deployment, upgrade and lifecycle of the per-node accelerator software stack (driver, container runtime hooks, device plugin, telemetry exporter, node labeling) as managed operands. |
| Agent Hosting Platform abstract | Infrastructure resource | An abstract compute substrate on which agent services are packaged, executed and scaled, trading operational control and warm capacity against management overhead and idle cost. |
| Autoscaler abstract | Software component | A control component that adjusts the number of replicas of a workload to match demand, turning fixed infrastructure cost into variable cost. |
| Autoscaling Policy | Data artifact | A declarative specification of replica bounds, scaling metrics and targets, and scale-up/scale-down behaviour policies for a workload. |
| Backup Archive Store | Data store | A disaster-recovery archive of periodic data backups retained on a rotation schedule and restorable only for catastrophic system recovery. |
| Blue-Green Deployment Switcher | Software component | A rollout controller that runs the stable and new versions as parallel full environments and switches all traffic between them at once, keeping the old environment ready for instant failback. |
| CPU Compute Node | Infrastructure resource | A general-purpose compute host without accelerators, used for lighter workloads such as optimized embedding encoders or overflow agent replicas. |
| CPU Dataframe Engine | Software component | A dataframe compute engine that executes transformation operations on CPU cores. |
| Canary Rollout Controller | Software component | A rollout controller that routes a small, stepwise-increasing share of production traffic to a new agent version, compares its metrics to the baseline at each step and reverts automatically on degradation. |
| Cloud Region | Infrastructure resource | A geographically distinct deployment location hosting its own independently scaled replica pool that serves users in nearby time zones. |
| Cluster Consensus Coordinator | Software component | A replicated coordination component that maintains consistent cluster state by majority quorum and elects a leader node, redistributing workloads when the leader or a node fails. |
| Cluster Namespace | Infrastructure resource | A logical isolation partition within a shared cluster that separates environments or tenants and scopes their policies and quotas. |
| Cluster Service Endpoint | Interface | A stable cluster-internal DNS name and virtual IP fronting a changing set of agent replicas, optionally with session affinity for stateful conversations. |
| Collective Communication Library | Software component | A GPU communication library executing collective operations (all-reduce, all-gather, reduce-scatter) with topology-aware algorithms chosen for the detected interconnect. |
| Connection Pool | Software component | A component that maintains and reuses established, authenticated database connections across queries to avoid per-query connection setup. |
| Container Health Prober | Software component | A node-level agent that periodically probes replica liveness and readiness endpoints to trigger restarts or removal from service rotation. |
| Container Image | Data artifact | An immutable, tagged package of an agent's code, dependencies, model artifacts and runtime configuration that a container runtime instantiates. |
| Container Image Builder | Software component | A build component that packages agent code, dependencies, model artifacts and runtime configuration into immutable, versioned container images. |
| Container Orchestrator | Infrastructure resource | A cluster platform that schedules containers across nodes, maintains desired replica counts and restarts or replaces failed pods. |
| Container and Model Artifact Registry | Data store | An authenticated, access-controlled repository that stores tagged container images and optimized model weights and serves them to deployment targets. |
| Continuous Integration Runner | Software component | A CI/CD workflow engine that executes evaluation jobs automatically when agent code, prompts, tools or model configuration change. |
| Custom Metrics Adapter | Software component | A bridge that exposes collected application metrics through the container orchestrator's metrics API so autoscalers can scale on inference-specific signals. |
| DNS Load Balancer | Software component | A name-resolution-level load balancer that spreads client traffic across multiple load balancer instances or regional endpoints, removing the single front-end load balancer as a failure point. |
| Data Parallel Executor | Software component | A distributed executor that replicates the full model on each GPU, processes different batches independently and synchronizes gradients with one all-reduce per step. |
| Dataframe Compute Engine abstract | Software component | An abstract data-processing engine that executes dataframe operations such as filtering, deduplication and text normalization for ETL transformation stages. |
| Dedicated GPU Device | Infrastructure resource | A whole, unpartitioned physical GPU allocated exclusively to one workload, giving it all compute, memory and memory bandwidth. |
| Deployment Manifest | Data artifact | A declarative workload specification defining container image, labels, resource requests/limits, metrics annotations and health probe timings for replicas. |
| Device Inventory Registry | Data store | A central record of every edge device's hardware capabilities, connectivity, deployed model versions, deployment times and configuration. |
| Distributed Model Executor abstract | Software component | An execution component that partitions a model's training or inference computation across multiple GPUs according to a parallelism strategy and synchronizes partial results through collective communication. |
| Edge Application Definition | Data artifact | A declarative specification of an edge application version, its container image, resource allocation, health check and target location group. |
| Edge Device abstract | Infrastructure resource | An abstract resource-constrained compute device at or near the point of data generation that runs inference locally, possibly without network connectivity. |
| Edge Device Agent | Software component | An on-device management agent that applies updates, maintains the local version manifest, buffers results while offline and reports version and status telemetry when connectivity permits. |
| Edge FPGA Device | Infrastructure resource | An edge device using field-programmable gate arrays configured as custom inference hardware. |
| Edge Fleet Manager | Software component | A cloud-hosted management plane that holds the desired application, model and configuration state of every edge AI site and continuously reconciles sites toward it over secure tunnels. |
| Edge GPU Device | Infrastructure resource | An edge device with a programmable CUDA-compatible GPU for flexible accelerated inference. |
| Edge NPU Device | Infrastructure resource | A smartphone or embedded system with an integrated neural processing unit providing dedicated low-power AI acceleration. |
| Edge Provisioning Service | Software component | A cloud endpoint that authenticates newly powered edge devices by pre-issued provisioning tokens and registers them as managed locations for initial configuration download. |
| Edge TPU Device | Infrastructure resource | An edge device or add-on accelerator specialised for tensor operations (matrix multiplication, convolution) at very low power. |
| Edge Update Orchestrator | Software component | A fleet-management component that distributes model and configuration updates to edge devices in waves using differential, resumable transfers and device-capability targeting, rolling back failed updates. |
| Encrypted Model Volume | Data store | An encrypted persistent storage volume local to a serving node that caches model weights, and at edge sites application data and logs, unreadable without externally held keys. |
| Environment Overlay | Data artifact | A version-controlled patch set applying environment-specific differences (replica count, logging level, namespace, resource limits) to shared base manifests. |
| Ephemeral Sandbox Manager | Software component | A lifecycle component that creates a fresh minimal sandbox from a pristine base image for each tool execution and destroys it, with all created state, when execution completes or times out. |
| Evaluation Workflow Definition | Data artifact | A declarative CI workflow file specifying the triggering events and path filters, environment, and steps for running evaluation, reporting and gating. |
| Feature Flag Service | Software component | A runtime toggle service that enables or disables individual agent capabilities, such as a newly added tool, without redeploying the agent. |
| Fully Sharded Data Parallel Executor | Software component | A distributed training executor that shards parameters, gradients and optimizer states across GPUs, all-gathering layers for compute and reduce-scattering gradients. |
| GPU Allocation Unit abstract | Infrastructure resource | An abstract schedulable unit of accelerator capacity (whole GPU, hardware partition, or time-shared slot) onto which the orchestrator places a single workload. |
| GPU Compute Instance | Infrastructure resource | A compute-isolated subdivision of a GPU partition that owns a subset of the partition's streaming multiprocessors while sharing its memory pool with sibling compute instances. |
| GPU Device Plugin | Software component | A node-level agent that advertises GPU devices, including hardware partitions, to the container orchestrator as schedulable resources. |
| GPU Interconnect abstract | Infrastructure resource | The intra-node data path linking GPUs for peer memory access and collective communication, whose bandwidth and latency bound multi-GPU parallel efficiency. |
| GPU Node abstract | Infrastructure resource | An accelerated compute host (single or multi-GPU, linked by high-bandwidth interconnect) on which inference and agent workloads run. |
| GPU Partition | Infrastructure resource | A hardware-isolated slice of a physical GPU with dedicated memory and compute that the orchestrator treats as an independent GPU. |
| GPU Partition Layout abstract | Data artifact | A declarative allocation of a physical GPU into isolated instances with fixed memory and compute fractions assigned per workload. |
| GPU Partition Manager | Software component | A node-level controller that applies a declared GPU partition layout by draining affected workloads, destroying existing partition and compute instances, and recreating them in the new geometry. |
| GPU Partition Reconfiguration Policy | Data artifact | A declarative policy governing how partition-layout changes roll out: reconfiguration mode, validation delay between GPUs, and spare capacity preserved for evicted workloads. |
| GPU Switch Fabric | Infrastructure resource | A hardware switch fabric giving every GPU in a node dedicated all-to-all paths at full link bandwidth without multi-hop contention. |
| GPU-Accelerated Dataframe Engine | Software component | A dataframe compute engine that executes filtering, deduplication and text processing on GPUs, partitioning datasets larger than memory across multiple GPUs. |
| Gateway Route Configuration | Data artifact | A declarative, version-controlled configuration of gateway routes, upstream services, plugin order and per-consumer policies. |
| GitOps Reconciler | Software component | An in-cluster, pull-based controller that continuously compares declarative desired state in a version-control repository with live cluster state and applies diffs until they match. |
| GitOps Sync Policy | Data artifact | A per-application policy setting whether the reconciler syncs and prunes automatically or waits for manual approval of each sync. |
| Gossip Membership Service | Software component | A cluster component that discovers peer nodes from a join list and exchanges membership and heartbeat messages by gossip to detect node failures within seconds. |
| Gradual Rollback Controller | Software component | A rollback controller that reverses a progressive rollout stepwise, reducing the new version's traffic share and checking stability at each step. |
| High-Performance Reverse Proxy | Software component | An API gateway proxy with minimal per-request processing that forwards and load-balances traffic to backend agents, optionally serving as the cluster ingress controller. |
| Immediate Rollback Controller | Software component | A rollback controller that switches all traffic to the previous version at once, scaling the new version to zero and scaling the previous version up. |
| Inference Service Operator | Software component | A container-orchestrator extension that reconciles declarative inference-service resources into running model-serving deployments, handling image pulls, GPU allocation, health checks, service exposure and scaling. |
| Instance Group Autoscaler | Software component | An infrastructure control component that adds or removes compute instances in a cloud instance group when monitored metrics cross thresholds, so paid capacity tracks demand. |
| Inter-Node Network Fabric | Infrastructure resource | A high-performance cluster network linking GPU nodes for cross-node collective communication and pipeline stage transfers. |
| Knowledge Base Backup Service | Software component | A scheduled infrastructure job that snapshots vector indexes, metadata and audit logs to durable storage and restores them to a known-good state after loss or undetected corruption. |
| Latency-Target Autoscaler | Software component | An autoscaler driven by custom service metrics, typically P95 latency approaching the SLO threshold, adding replicas before response-time objectives are breached. |
| Layer-4 Load Balancer | Software component | A transport-layer load balancer that forwards TCP/UDP connections to replicas using only IP/port information, without inspecting application payloads. |
| Layer-7 Load Balancer | Software component | An application-layer load balancer that parses HTTP requests and routes them by host, path, headers, cookies or body content, typically terminating TLS. |
| Least-Connections Load Balancer | Software component | A load balancer that tracks in-flight requests per replica and sends each new request to the replica with the fewest active requests, adapting to variable request durations. |
| Liveness Endpoint | Interface | A health endpoint reporting whether a replica process is alive; repeated failure causes the orchestrator to restart it. |
| Load Balancer abstract | Software component | A distribution component that spreads requests across multiple instances of an agent or service using health checks. |
| Load Balancing Policy | Data artifact | A declarative configuration selecting the balancing algorithm, per-replica weights, health-check coupling, metric TTLs and fallback behaviour used by a load balancer. |
| Maintenance Window Scheduler | Software component | An operations component that schedules planned maintenance in a low-traffic window and sequences user notification, state backup, rollback-point preparation, execution and health verification. |
| Metric-Aware Load Balancer | Software component | A load balancer that routes each request to the replica with the best real-time health indicators (CPU, memory pressure, queue depth, recent latency) polled from replica metrics endpoints. |
| Metric-Driven Autoscaler | Software component | A reactive autoscaler that computes desired replicas from several live metrics (queue-to-compute ratio, GPU utilization, request rate) and applies asymmetric stabilization windows. |
| Microcontroller Device | Infrastructure resource | An ultra-low-power embedded device with kilobytes of memory that runs only heavily compressed models. |
| Mixed GPU Partition Layout | Data artifact | A GPU partition layout that assigns different partition profiles to different GPUs in one cluster to match heterogeneous model sizes or service tiers. |
| Namespace Resource Quota | Data artifact | A declarative cap on the aggregate CPU, memory, GPU and persistent-volume claims a namespace may consume. |
| Node Capability Labeler | Software component | A node agent that detects hardware features such as GPU vendor, device and model and applies them as node labels for targeted scheduling. |
| Object Store | Data store | A durable, network-accessible blob store for files such as uploaded documents, workflow checkpoints, archived events and deployment artifacts, emitting notifications when objects arrive. |
| On-Demand Consumption Plan | Data artifact | A serverless hosting plan that scales automatically from zero and bills only per execution, accepting occasional cold starts and shorter maximum timeouts. |
| On-Demand GPU Node | Infrastructure resource | A compute instance with guaranteed availability billed at on-demand rates. |
| PCIe GPU Bus | Infrastructure resource | A general-purpose peripheral bus connecting GPUs without hardware coherence, requiring CPU-coordinated copies for inter-GPU transfers. |
| Peer-to-Peer GPU Link | Infrastructure resource | A short-reach, cache-coherent point-to-point link between GPUs offering far higher bandwidth than a general-purpose bus and unified virtual addressing for peer memory access. |
| Persistent Volume | Infrastructure resource | Durable block, network-attached or local storage provisioned to containers through a storage claim, surviving pod restarts and rescheduling. |
| Pipeline Parallel Executor | Software component | A distributed executor that partitions a model vertically into sequential layer stages on different GPUs, using micro-batching to overlap stages and reduce pipeline bubbles. |
| Policy Plugin Gateway | Software component | An API gateway proxy that runs an ordered, configurable plugin chain (authentication, rate limiting, transformation, logging) on each request before routing it to backend agents. |
| Pre-warmed Capacity Plan | Data artifact | A serverless hosting plan that keeps pre-warmed execution environments running so invocations never incur cold starts, optionally with private-network integration and longer timeouts. |
| Queue-Depth Autoscaler | Software component | An autoscaler that sizes a replica fleet from the number of requests waiting for processing rather than from host resource utilization. |
| Readiness Endpoint | Interface | A health endpoint reporting whether a replica can serve traffic (e.g., model fully loaded); failure removes it from load-balancer rotation without restart. |
| Regional Edge Relay | Software component | A regional edge server component that aggregates device status reports and relays updates between central fleet management and nearby devices. |
| Replica Placement Policy | Data artifact | A declarative scheduling constraint set, such as pod anti-affinity and zone spread rules, that keeps replicas of a service off shared failure domains. |
| Replication and Sharding Configuration | Data artifact | A configuration declaring a vector collection's shard count, replication factor and cluster join list. |
| Reserved Capacity Plan | Data artifact | A serverless hosting plan that provisions continuously running reserved compute billed for capacity rather than per execution. |
| Reserved GPU Node | Infrastructure resource | A compute instance obtained under a 1-3 year capacity commitment in exchange for a substantial discount over on-demand pricing. |
| Resource-Utilization Autoscaler | Software component | An autoscaler that adjusts replica counts to keep average CPU and/or memory utilization of a workload near declared targets, scaling on whichever resource approaches saturation. |
| Rolling Update Controller | Software component | A rollout controller that replaces the instances of a workload with a new version gradually, a few at a time, instead of all simultaneously. |
| Rollout Manager abstract | Software component | An abstract release component that replaces a running agent or model version with a new one according to a rollout strategy while bounding user impact and enabling rollback. |
| Round-Robin Load Balancer | Software component | A load balancer that assigns requests to replicas in fixed circular order, giving equal request counts regardless of request complexity or current replica load. |
| Scheduled Scaler | Software component | An autoscaler that deploys known capacity at known times according to a schedule rather than reacting to live metrics. |
| Serverless Function Runtime | Infrastructure resource | A managed execution platform that runs stateless functions on demand in response to events, scaling from zero to thousands of concurrent executions and billing per millisecond of compute. |
| Serverless Hosting Plan abstract | Data artifact | An abstract configuration selecting how a serverless runtime provisions capacity for a function, trading cold-start latency and timeout limits against idle cost. |
| Service Discovery Registry | Data store | A registry mapping stable service names to the addresses of currently ready replicas so components can locate each other as replicas change. |
| Service Mesh Proxy | Software component | A sidecar proxy deployed beside each agent container that intercepts all inbound and outbound traffic to apply routing, resilience, mutual TLS and tracing without application changes. |
| Session Affinity Load Balancer | Software component | A load balancer that pins all requests from the same client to the same replica so conversation context cached there is reused. |
| Shard Query Router | Software component | A cluster component on every node that forwards each request to a node owning the relevant shard and redirects to replica shards when an owner is degraded. |
| Shard Replication Manager | Software component | A cluster component that keeps each data shard on the configured number of nodes, continues writes to surviving replicas during failures and resynchronizes nodes when they rejoin. |
| Spot GPU Node | Infrastructure resource | A discounted, interruptible compute instance reclaimable by the provider on short notice. |
| Spot Interruption Handler | Software component | A control component that detects provider termination warnings for interruptible instances, drains their in-flight requests and shifts load to on-demand capacity. |
| Staged Rollout Policy | Data artifact | A declarative rollout specification of strategy (staged or rolling), stage percentage, validation period, rollout velocity and automatic-rollback threshold. |
| Staging Environment | Infrastructure resource | An isolated environment mirroring production configuration, data volumes and load in which agent versions are validated without exposing real users. |
| Stateful Workload Controller | Software component | A workload controller that gives each replica a stable network identity and its own persistent volume, starting replicas in order and stopping them in reverse order. |
| Stateless Workload Controller | Software component | A workload controller that manages interchangeable replicas with no stable identity, any of which can serve any request. |
| Static Code Analyzer | Software component | A pipeline stage that statically checks agent source for formatting, import order, style violations, type errors and security weaknesses, failing the pipeline on violations. |
| Tensor Parallel Executor | Software component | A distributed executor that shards each layer's weight matrices across GPUs, computes partial results in parallel and combines them with all-reduce after every attention and feed-forward block. |
| Time-Sliced GPU Share | Infrastructure resource | A share of a whole GPU in which the driver schedules co-located processes in round-robin time slices over a single shared memory pool, without hardware isolation. |
| Uniform GPU Partition Layout | Data artifact | A GPU partition layout that applies one identical partition profile to every GPU in the cluster, exposing interchangeable partition resources. |
| Unpartitioned GPU Layout | Data artifact | A GPU partition layout that disables hardware partitioning so each GPU is allocated whole to one workload. |
| Version Rollback Controller abstract | Software component | An abstract release component that returns production traffic from a newly deployed agent or model version to the previous known-good version. |
| Weighted Round-Robin Load Balancer | Software component | A load balancer that distributes requests in proportion to per-replica weights reflecting capacity, cost or rollout stage. |
| Workload Controller abstract | Software component | An abstract orchestrator control loop that continuously maintains the declared replica set of one containerised workload, creating, replacing and updating instances to match desired state. |
Observability & Evaluation (213)
Cross-cutting component for tracing, metrics, evaluation, SLO management, and cost accounting.
| Component | Kind | Definition |
|---|---|---|
| A/B Test Configuration | Data artifact | A configuration specifying variant traffic allocation, experiment metrics, statistical design parameters and automatic rollback thresholds for an online experiment. |
| A/B Test Traffic Splitter | Software component | A routing component that assigns live users to control or treatment agent variants according to configured allocation percentages. |
| Adoption Dashboard | Software component | A metrics dashboard showing overall and per-role adoption against target, week-over-week trend, open support tickets, resolution time, satisfaction and next actions. |
| Adoption Metrics Tracker | Software component | An analytics component that computes weekly adoption rate, usage frequency, feature usage, support-ticket trends and user satisfaction for an agent rollout, by user role. |
| Adversarial Robustness Evaluator | Software component | An evaluation component that systematically attacks a model or agent with jailbreaks, prompt injection, role-play, encoded requests, information-extraction and multi-turn manipulation, measuring attack success. |
| Agent Behavior Anomaly Detector | Software component | A monitoring component that detects unusual failure patterns or unexpected agent behaviour in production metrics and flags them for investigation and intervention. |
| Agent Developer | Human role | An engineer who builds agents and investigates their failures through trace-first forensic debugging, then applies targeted fixes to prompts, tool descriptions and state logic. |
| Agent Hyperparameter Optimizer | Software component | A software component that automatically selects agent settings such as LLM type and temperature against accuracy, groundedness, and latency metrics. |
| Agent Interaction Graph Analyzer | Software component | A monitoring component that builds the inter-agent communication graph and computes centrality, clustering and community metrics to detect unusual collaboration structures, bottlenecks and coordinated anomalies invisible in per-agent metrics. |
| Agent Performance Dashboard | Software component | A metrics dashboard presenting aggregate agent outcomes across conversations—resolution rates by issue category, escalation patterns, confidence distributions and trends—with drill-down to individual conversations. |
| Agent Test Runner | Software component | A CI component that executes layered automated test suites (isolated unit tests, workflow integration tests, performance benchmarks) against agent code with coverage reporting and per-test timeouts. |
| Agent Version Experimenter abstract | Software component | An abstract production experimentation component that compares a candidate agent version with the current production version on real traffic before full deployment. |
| Alert Consolidator | Software component | An alert-processing component that merges overlapping alerts from redundant detectors about the same underlying issue into a single synthesized alert. |
| Alert Manager | Software component | A component that evaluates thresholds on performance and cost metrics and notifies operators of conditions beyond automated remediation. |
| Alert Rule Set | Data artifact | A configuration of alert conditions over metrics, such as error-rate, latency-SLA and token-cost thresholds with sustained-duration windows and contextual messages. |
| Alert Suppression Rule Set | Data artifact | A configuration of rules that silence redundant downstream alerts from components that fail only because an upstream dependency failed, focusing attention on the root-cause component. |
| Alignment Drift Monitor | Software component | A monitoring component that periodically re-measures principle adherence of deployed or updated models against baseline measurements to detect value drift toward easier-to-optimize proxies. |
| Attribution Analyzer | Software component | An interpretability component that computes how much each input token or evidence component causally influenced a model output, producing attribution maps. |
| Balanced Scorecard Specification | Data artifact | A specification of acceptable ranges for 4-6 complementary agent success metrics (e.g., completion, CSAT, NPS, CES, deflection) that must all be met simultaneously rather than maximising any single metric. |
| Batch Quality Monitor | Software component | A production quality monitor that collects predictions and runs scheduled monitoring jobs (e.g., hourly or daily) that generate reports and alert on anomalies. |
| Behavioral Baseline | Data artifact | A statistical, multivariate profile of an agent's (or customer's) normal operational characteristics, such as decision distributions, confidence, latency and transaction patterns, against which deviations are judged. |
| Behavioral Baseline Builder | Software component | An observability component that derives and continuously refreshes behavioral baselines from recent normal operational history, accounting for growth, seasonality and legitimate operational change. |
| Behavioral Signal Tracker | Software component | A telemetry component that derives implicit user-experience signals, such as task abandonment, query reformulation, interaction duration and downstream escalation or return, from all user interactions. |
| Benchmark Environment abstract | Software component | An interactive, reproducible task environment (e.g., operating system shell, database, knowledge graph, web application, game) that exposes actions and state to an agent under evaluation over multi-turn episodes. |
| Benchmark Suite Manifest | Data artifact | A declarative selection of benchmarks, datasets and environments with stratification and proportions across task complexity, domain, modality and time, plus composite-score weights, defining a multi-benchmark evaluation. |
| Bottleneck Analyzer | Software component | An analysis component that classifies a workload's dominant bottleneck (inference-, memory-, synchronization- or preprocessing-bound) from timeline signatures and maps it to optimization strategies. |
| Bottleneck Pattern Catalog | Data artifact | A diagnostic taxonomy mapping timeline signatures (GPU idle between kernels, low utilization, memory-copy spikes, kernel-launch gaps, periodic stalls) to root causes and optimization strategies. |
| Capacity Forecaster | Software component | An analysis component that projects future GPU, memory, bandwidth and request-rate needs from historical utilization and growth trends to plan capacity ahead of demand. |
| Centralized Log Store | Data store | A centralized, indexed store of structured log records from agents and inference services, queryable by field for troubleshooting and pattern analysis. |
| Chain-of-Thought Judge | Software component | An LLM judge that produces an explicit reasoning trace justifying its evaluation before giving its verdict. |
| Change Impact Attributor | Software component | A diagnostic component that overlays deployment and upstream dependency change events on performance timelines to identify which component change most likely caused an observed degradation. |
| Code Range Annotator | Software component | An instrumentation component that marks named, nestable semantic ranges (e.g., workflow, reasoning step, LLM generation, tool call) in application code for display on profiler timelines. |
| Coherence Continuity Scorer | Software component | An evaluation component that measures embedding similarity between consecutive reasoning steps to detect disjointed topic jumps in a reasoning chain. |
| Comparative Trace Analyzer | Software component | An analysis component that aligns successful and failed traces, or trace distributions from repeated identical runs, to locate divergence points and conditions statistically correlated with failure. |
| Confidence Calibration Analyzer | Software component | An evaluation component that compares stated confidence with empirical accuracy across confidence buckets, computing calibration error and confidence-accuracy correlation. |
| Content Freshness Monitor | Software component | A monitoring component that flags knowledge base documents not updated within their expected refresh interval so they are not used as grounding. |
| Coordination Failure Monitor | Software component | A monitoring component that detects multi-agent coordination breakdowns such as duplicate effort, dropped tasks and goal divergence from structured inter-agent messages. |
| Corpus Drift Detector | Software component | A monitoring component that tracks statistical characteristics of the knowledge corpus over time and flags significant changes that may indicate emerging data-quality issues. |
| Cost Attribution Aggregator | Software component | An aggregation component that groups request-level token and cost metrics by feature, customer, model or time period, computing total tokens, total cost, request count, average cost per request and trends. |
| Cost Rate Card | Data artifact | A versioned table of unit prices (per-million input, output and cached input tokens per model, plus GPU-hour, memory, storage and network rates) used to convert metered usage into monetary cost. |
| Cost Reporting Dashboard | Software component | A dashboard that renders organization-level token consumption and cost trends, model mix, cost per user and budget-versus-actual spending for budgeting, capacity planning and executive review. |
| Cross-Agent Coherence Evaluator | Software component | An evaluation component that treats a multi-agent interaction as one extended reasoning chain and checks that each agent's reasoning incorporates upstream conclusions and handoffs remain logically consistent. |
| Data Drift Detector | Software component | A monitoring component that compares production input-feature, prediction and ground-truth label distributions with a reference dataset using statistical tests or distance metrics to detect distribution shift. |
| Data Validation Result Store | Data store | A persistent store of structured per-document validation results (field, severity, message, source) retained for auditing, failure-pattern analytics and trend analysis. |
| Decision Scenario Simulator | Software component | A simulation environment that exercises a decision engine across diverse synthetic scenarios to surface counterintuitive or harmful utility-maximizing behaviours. |
| Decision Telemetry Event Schema | Data artifact | A structured data contract for the per-request telemetry event an agent emits at decision points, carrying request ID, timestamp, decision type, confidence score, latency measurements, tools invoked and outcome. |
| Dependency Health Monitor | Software component | A monitoring component that checks the availability of an agent's downstream dependencies (LLM providers, rule engines, external APIs) so degradation decisions reflect current component health. |
| Deployment Notifier | Software component | A component that posts pipeline milestone notifications (start, gate failure, staging, canary start, completion) with commit, version, metrics and log links to team chat channels. |
| Diagnostics Endpoint | Interface | A deep-diagnostics endpoint (e.g., /health/deep) exposing memory usage, model metrics, tool latencies, cache statistics, request-queue state and recent errors for debugging. |
| Drift Response Policy | Data artifact | A tiered policy mapping the magnitude of a detected distribution shift or performance drop to a response level: log and monitor, investigate and adjust, or page on-call for immediate action. |
| Edge Validation Test Bench | Software component | A pre-deployment validation setup that tests models on representative device hardware under simulated environmental conditions, resource-exhaustion stress and real device software stacks. |
| Embedding Drift Monitor | Software component | A monitoring component that tracks distribution statistics of generated embeddings, such as mean vector norm and per-dimension variance, and flags sudden changes. |
| End-to-End Health Prober | Software component | A synthetic health check that runs a complete agent workflow on a known test scenario and verifies task completion, answer correctness, expected tool use and latency. |
| Environment Snapshot | Data artifact | A versioned, fixed capture of an evaluation environment's state, data sources and dependencies, such as a date-restricted corpus, used to reproduce benchmark conditions. |
| Ephemeral Trace Buffer | Data store | A short-term store retaining all reasoning traces for a brief window so recent anomalies can be analysed without long-term storage cost. |
| Error Budget Tracker | Software component | An SLO-management component that accumulates failures against the error budget implied by an SLO over a trailing window and computes the burn rate at which that budget is being consumed. |
| Evaluation Baseline | Data artifact | The recorded metrics of the current production agent on the evaluation dataset, with acceptable ranges, serving as the comparison target for every change. |
| Evaluation Configuration | Data artifact | A declarative configuration specifying an evaluation's dataset source, evaluators with their metric names and judge LLMs, and output location, overridable at runtime. |
| Evaluation Dataset | Data artifact | A curated, versioned collection of test queries paired with ground-truth answers and metadata (task type, difficulty, expected reasoning) used as a reproducible benchmark for agent quality. |
| Evaluation Failure Analyzer | Software component | An analysis component that categorizes failed evaluation or production interactions into failure modes and traces them to responsible agent components. |
| Evaluation Harness | Software component | A software component that runs evaluations measuring agent or detector quality against datasets or adversarial scenarios. |
| Evaluation Protocol | Data artifact | A prospectively documented specification of controlled-comparison conditions, trial count and seeds, sample-size requirements, statistical tests, and statistical and practical significance thresholds for an evaluation. |
| Evaluation Report Publisher | Software component | A reporting component that formats evaluation metrics, baseline comparison and regression alerts into a summary posted where reviewers see it, such as a pull-request comment. |
| Evaluation Result Analyzer | Software component | An analytics component that statistically compares reasoning scores against reference chains, task outcomes and user feedback to locate systematic failure patterns and predictive quality dimensions. |
| Evaluation Result Store | Data store | A persistent store of evaluation runs, their configurations, metrics and artifacts, queryable to answer when quality changed and which configuration performed best. |
| Evaluation Rubric | Data artifact | A structured scoring specification defining quality criteria (e.g., clarity, completeness, relevance, appropriateness) and their rating scales for human or model evaluators. |
| Evaluation Sampling Policy abstract | Data artifact | A configuration setting what fraction of production interactions are evaluated at each deployment stage and when sampling rates increase in response to anomalies. |
| Evaluation Score Aggregator | Software component | A component that aggregates per-case scores into stratified reports by environment, difficulty and capability, weighted composite scores, and Pareto views across competing objectives. |
| Evaluation Trace Sampler | Software component | A monitoring component that selects production reasoning traces for quality evaluation by novelty, low confidence, user flags and systematic random sampling. |
| Evaluator Calibrator | Software component | An evaluation component that compares automated and LLM-judge reasoning scores with expert ratings on gold-standard data to set scoring thresholds and confirm agreement. |
| Exact Match Scorer | Software component | A response scorer that marks a response correct only when it string-equals the ground-truth answer. |
| Execution Profiler | Software component | An analysis component that aggregates execution timings hierarchically from workflow down to individual agents and tools to identify performance bottlenecks. |
| Exhaustive Evaluation Sampling Policy | Data artifact | An evaluation sampling policy that evaluates every production trace. |
| Experiment Guardrail Monitor | Software component | A monitoring component that periodically computes treatment and control online metrics and triggers rollback when sustained or statistically significant degradation is detected. |
| Experiment Tracker | Software component | A tracking service that records each evaluation run's agent configuration, metrics and artifacts so runs are reproducible and comparable over time. |
| Explanation History Store | Data store | A store of time-stamped explanation versions per decision, recording how assessment and reasoning evolved as information changed. |
| Failure Case Curator | Software component | An evaluation-flywheel component that collects production failures and user-reported issues, validates their representativeness, and converts them into difficulty-calibrated regression test cases. |
| Failure Category Classifier | Software component | A telemetry component that labels each unsuccessful request either as a safety violation (a guardrail block with its reason) or as an infrastructure failure (an execution exception passed through the guardrail layer), feeding separate metrics and span attributes. |
| Failure Correlation Analyzer | Software component | An analysis component that correlates failure occurrences with time of day, concurrent load, input type and resource state to reveal the conditions under which intermittent failures cluster. |
| Failure Signature Catalog | Data artifact | A curated playbook mapping characteristic trace patterns to failure modes (tool selection, parameter generation, interpretation, state, hallucination, reasoning errors) and their root causes and fixes. |
| Failure Taxonomy | Data artifact | A versioned classification scheme of agent failure categories with domain-specific severity and fix-effort weights used to categorise and prioritise evaluation failures. |
| Fairness Monitor | Software component | A production monitoring component that continuously computes fairness metrics (demographic parity, equalized odds, calibration) on live predictions, aggregated daily, weekly or monthly, to detect fairness degradation. |
| Feature Activation Monitor | Software component | An interpretability component that decomposes model activations into sparse interpretable features during inference and detects activation of features associated with reasoning errors. |
| Feedback Prioritizer | Software component | A component that ranks feedback themes by combining mention frequency, estimated affected users from implicit signals, and severity weighting. |
| Feedback Theme Clusterer | Software component | An analysis component that groups semantically similar feedback comments into recurring themes using embedding-based clustering or topic modeling. |
| Filter Effectiveness Evaluator | Software component | An evaluation component that pairs filter decisions with human ground-truth labels to compute precision, recall, F1 and false positive rate for comparing filter configurations. |
| Fuzzy Match Scorer | Software component | A response scorer that marks a response correct when its string similarity to the ground-truth answer exceeds a threshold, tolerating paraphrase. |
| GPU System Profiler | Software component | A system-wide timeline profiler that captures GPU kernel execution, SM utilisation, memory bandwidth and allocations, CPU activity, OS runtime waits and annotated code ranges to localise inference bottlenecks. |
| GPU Telemetry Exporter | Software component | A node-level telemetry component that samples accelerator streaming-multiprocessor utilization, memory usage and bandwidth, and power, and exports them to metrics and profiling back ends. |
| Ground Truth Annotator | Human role | A domain expert who labels test queries with known correct answers and authors edge-case and adversarial examples for evaluation datasets. |
| Guardrail Test Suite | Data artifact | A set of benign and adversarial test inputs paired with expected guardrail outcomes (blocked or answered) used to validate rails before deployment. |
| Guardrail Violation Monitor | Software component | A monitoring component that records guardrail violations by type and severity and tracks filter precision, recall and false-positive rates over time against baseline to detect degradation. |
| Health Check Aggregator | Software component | A health-check service that runs layered service, model, integration and end-to-end checks and combines their results into an overall healthy, degraded or unhealthy status for an agent system. |
| Health Status Endpoint | Interface | A health endpoint (e.g., /health) returning an agent system's aggregated status, timestamp and per-layer check results for service, model, tools, memory, resources and end-to-end tests. |
| Health Status Policy | Data artifact | A threshold specification mapping availability, latency, resource headroom and quality-success indicators to healthy (green), degraded (yellow) and unhealthy (red) status levels. |
| Helpfulness Preservation Evaluator | Software component | An evaluation component that checks whether alignment reduced harmful outputs without unnecessarily limiting helpful capability, targeting a Pareto improvement in helpfulness and harmlessness. |
| Holdout Evaluation Set | Data artifact | A sequestered evaluation dataset never consulted during configuration exploration, used only once configuration decisions are final to measure generalisation. |
| Host Resource Monitor | Software component | A monitoring component that samples host CPU, memory, disk and network usage and raises alerts when utilization approaches critical limits. |
| Incident Escalation Policy | Data artifact | A configuration defining the ordered responders and time thresholds through which an unresolved production incident escalates. |
| Incident Manager | Software component | An operations component that opens an incident from an automatically detected alert, notifies the on-call engineer and escalates through a timed chain of responders until resolution. |
| Inference Engine Profiler | Software component | A profiler that breaks down LLM inference-engine execution by operation class, such as attention kernels, KV-cache access and quantized layers, to locate model-level bottlenecks. |
| Inference Metrics Endpoint | Interface | A scrapeable endpoint on a model-serving process publishing inference-specific metrics such as queue depth, latency percentiles, batch sizes, error rates and per-model GPU usage. |
| Inference Performance Analyzer | Software component | A benchmarking tool that drives load against an inference server to compare configurations and measure throughput and latency before and after optimisation. |
| Integration Test Suite | Data artifact | A set of tests that run complete agent workflows against real tools, APIs and databases, checking tool coordination and response content on critical paths and edge cases. |
| Intent Performance Analyzer | Software component | An analysis component that aggregates conversation metrics per intent category to reveal categories with elevated failure, low confidence or rising escalation rates. |
| Interpreted Feature Library | Data artifact | A curated mapping from discovered sparse features to the concepts or reasoning patterns (correct or erroneous) they represent, built by systematic analysis of activations. |
| Judge Adversarial Tester | Software component | A meta-evaluation component that periodically injects known-incorrect agent outputs into the evaluation stream to verify that automated judges identify them as failures. |
| Kernel Profiler | Software component | An exhaustive profiler that instruments individual accelerator kernels at instruction granularity to expose intra-kernel inefficiencies. |
| Keyword Match Scorer | Software component | A response scorer that detects required or forbidden phrases in a response and converts their capped count into a normalized score. |
| LLM Judge abstract | Software component | A response scorer that prompts a language model with explicit per-level criteria to rate qualitative aspects of an agent response that resist simple rules, returning a normalized score. |
| Load Reconciliation Checker | Software component | A post-load verification component that queries the target store and confirms that the persisted record count matches the number of chunks the pipeline loaded. |
| Load Test Runner | Software component | A benchmarking component that submits requests at increasing concurrency and measures latency percentiles, throughput and resource consumption against performance budgets. |
| Log Aggregator | Software component | A telemetry component that centralises scattered per-agent logs for cross-agent analysis. |
| Metric Divergence Detector | Software component | A monitoring component that correlates complementary agent success metrics to flag pathological optimization, where one metric meets or exceeds its target while a paired metric degrades. |
| Metrics Collector | Software component | A telemetry component aggregating per-agent latency, error, fallback, token-consumption and confidence metrics. |
| Metrics Dashboard abstract | Software component | A visualization component that queries stored metric time series and renders graphs, heatmaps and gauges organised around operational questions. |
| Metrics Endpoint abstract | Interface | An HTTP endpoint (conventionally /metrics) on an instrumented agent or service that exposes its counters, gauges, histograms and summaries in a scrapeable text format. |
| Metrics Scrape Configuration | Data artifact | A declarative scrape-target specification selecting which workloads to scrape by label, at what path and at what interval, for a pull-based metrics collector. |
| Milestone Evaluator | Software component | A task success evaluator that decomposes a task into outcome-critical intermediate milestones and credits each one achieved, ignoring inconsequential actions. |
| Minimum Aggregation Quality Scorer | Software component | A reasoning quality scorer that takes the minimum of the dimension scores, treating a chain as only as strong as its weakest dimension. |
| Model Health Prober | Software component | A monitoring component that periodically sends a synthetic inference request to a served model and checks that it is loaded, answers within a timeout and maintains its quality baseline. |
| Monitoring Reference Dataset | Data artifact | A stable historical dataset representing known-good model performance and spanning normal variability, used as the baseline for production drift and quality comparisons. |
| Online Evaluator | Software component | An evaluation component that scores a sample of real production interactions without ground truth, combining judge-model scores, implicit behavioural signals, and explicit user feedback. |
| Operational Runbook | Data artifact | A documented diagnosis-and-mitigation procedure for a recurring operational issue, such as high latency or high error rate, that branches by bottleneck or error type to specific checks and actions. |
| Optimization Recommender | Software component | An analysis component that turns agent profiling data into ranked remediation suggestions, such as parallelizing independent tool calls or caching repeated calls, each with estimated latency and cost impact. |
| Output Edit Recorder | Software component | A telemetry component that records user edits, rewrites, parameter adjustments and copy-paste refinements of agent outputs as before-and-after pairs and detects substantial edits. |
| Output Length Calibrator | Software component | An analysis component that measures the output-token length distribution, tests candidate maximum-token limits against quality metrics, and selects the minimum limit that preserves quality. |
| Override Rate Monitor | Software component | A monitoring component that tracks how often human reviewers override AI recommendations and flags rates indicating automation bias (too low) or poor AI performance or distrust (too high). |
| Performance Baseline | Data artifact | A recorded reference of latency percentiles (p50/p95/p99), request and token throughput and GPU utilization under representative load and default configuration. |
| Performance Profiler abstract | Software component | An abstract observability component that captures execution activity of an agent or inference workload at a chosen granularity so elapsed time and resource use can be attributed to stages. |
| Performance Trend Analyzer | Software component | An analysis component that examines historical benchmark results over a window to classify accuracy, latency and cost trends and flag gradual drift that no single threshold violation reveals. |
| Post-Incident Report | Data artifact | A structured record of a production incident capturing what happened, timeline, impact, root cause, detection method, resolution and prevention actions. |
| Principle Adherence Evaluator | Software component | An evaluation component that tests a model with per-principle violation-seeking prompts, edge cases and out-of-distribution framings, measuring false refusals and accepted violations. |
| Principle Adherence Test Suite | Data artifact | A set of test prompts targeting each constitutional principle, including edge cases, ambiguous scenarios, violations framed as reasonable requests and legitimate near-boundary requests. |
| Production Quality Monitor abstract | Software component | An abstract monitoring component that computes model-quality, drift and data-quality metrics over production predictions against a reference baseline and raises alerts on anomalies, compensating for silent failures and delayed ground truth. |
| Profile Report | Data artifact | A persisted profiling capture containing the complete trace plus a queryable timeline database used for visual and programmatic analysis. |
| Profiling Capture Configuration | Data artifact | A capture specification selecting trace targets (accelerator API, annotations, OS runtime), memory-usage tracking, CPU sampling, context-switch tracing and output location for a profiling run. |
| Profiling Tier Policy | Data artifact | A policy defining tiered profiling modes: continuous lightweight monitoring, triggered detailed captures, canary profiling of a traffic fraction, and restricted exhaustive kernel profiling. |
| Quality Drift Detector | Software component | A monitoring component that applies statistical process control to reasoning-quality metrics over time and flags significant departures from established baselines. |
| Quality Improvement Backlog | Data store | A tracked list of identified reasoning-quality problems, each with priority, owner and success criteria, feeding targeted improvements and re-evaluation. |
| Query Novelty Detector | Software component | A detector that flags queries whose embeddings are semantically distant from training or recent examples as likely to stress agent reasoning. |
| RAG Evaluator | Software component | An automated evaluation component that scores retrieval-augmented answers on faithfulness, answer relevance, context precision, and context recall. |
| Random Evaluation Sampling Policy | Data artifact | An evaluation sampling policy that selects a uniform random fraction of production traces for evaluation. |
| Reasoning Chain Decomposer | Software component | An evaluation preprocessing component that splits a reasoning trace into steps and each step into Reasoning Content Units labelled as premises or conclusions. |
| Reasoning Chain Validator | Software component | An evaluation component that reconstructs an agent's intermediate multi-hop reasoning steps and validates each against annotated supporting facts or knowledge-graph triples, scoring answers jointly with evidence. |
| Reasoning Faithfulness Tester | Software component | An evaluation component that tests whether a model's verbalised reasoning actually drives its answers, using symmetric or perturbed question probes and causal analysis of which steps influence the output. |
| Reasoning Graph Analyzer | Software component | An analysis component that queries a reasoning graph's topology, retrieving concept-related thoughts, tracing dependency provenance chains and computing centrality of influential thoughts. |
| Reasoning Quality Scorer abstract | Software component | An evaluation component that combines per-dimension reasoning scores (intra-step correctness, inter-step consistency, informativeness, relevancy) into an overall reasoning quality result. |
| Reasoning Quality Threshold Configuration | Data artifact | A configuration artifact holding calibrated decision thresholds for reasoning validators and tiered alerting on reasoning quality degradation. |
| Reasoning Trace Schema | Data artifact | A data contract defining each logged reasoning step as a structured object with its premises, conclusions, evidence sources, justification and reasoning type. |
| Reference Reasoning Dataset | Data store | A gold-standard dataset pairing problem statements with expert-validated reference reasoning chains, step-level premise/conclusion/evidence annotations, evaluation criteria and expert quality ratings. |
| Reference Trajectory | Data artifact | A ground-truth expected action sequence for a test case, listing each tool, its expected parameters and outputs, required ordering, context conditions and success criteria. |
| Regression Gate | Software component | An automated quality gate that compares candidate evaluation metrics with the baseline and configured thresholds and passes, blocks, or escalates promotion of an agent change. |
| Regression Test Suite | Data artifact | A versioned set of known-good and known-bad agent tasks, including core, edge-case and historically failed tasks, re-run after every model or agent update to detect performance regressions. |
| Regression Threshold Policy | Data artifact | A version-controlled configuration of per-metric absolute minimums and maximum allowed regressions that a regression gate enforces. |
| Replica Metrics Endpoint | Interface | An on-demand endpoint through which each replica reports its current load state (CPU, memory, queue depth, recent latency) for polling by load balancers and metrics collectors. |
| Representative Workload | Data artifact | A load specification reproducing real traffic distributions of prompt lengths, conversation histories, tool-usage patterns and concurrency for profiling and benchmarking. |
| Resource Health Checker | Software component | A health check that verifies free accelerator memory, host memory and disk headroom against thresholds before resource exhaustion degrades an agent service. |
| Response Scorer abstract | Software component | An abstract evaluation function that scores one agent response against ground truth, policy, or quality criteria and returns a normalized score or pass/fail indicator. |
| Retrieval Quality Evaluator | Software component | An evaluation component that measures retrieval precision and recall over time against human-labeled relevance judgments for representative queries. |
| Reward Hacking Monitor | Software component | A training-time monitoring component that compares policy outputs across checkpoints to detect emerging reward-exploitation patterns such as excessive verbosity, sycophancy, confidence inflation and formulaic phrasing. |
| Rollout Analysis Template | Data artifact | A declarative specification of the metric queries, success conditions, evaluation interval and failure limit used to decide whether a progressive rollout continues or aborts. |
| Rule Outcome Monitor | Software component | An observability component that compares rule-triggered decisions with later-confirmed outcomes or business metrics to track per-rule performance and flag underperforming rules. |
| Rule Quality Scorer | Software component | An evaluation component that measures a candidate rule's per-class coverage and precision on held-out validation data and combines them into a rule confidence score. |
| Rule-Based Compliance Scorer | Software component | A response scorer that extracts values (amounts, percentages, dates) from a response and verifies them against configured policy limits, failing on any violation. |
| SLO Monitor | Software component | A software component that compares service indicators with thresholds and raises alerts before users notice degradation. |
| Safety Metric Threshold Policy | Data artifact | A configuration of target values and action triggers for safety KPIs: violation rate, false-positive rate, human override rate and adversarial success rate. |
| Satisfaction Score Calculator | Software component | An analytics component that aggregates post-interaction survey responses into standard satisfaction indices: top-2-box Customer Satisfaction Score (CSAT), Net Promoter Score (NPS) and mean Customer Effort Score (CES). |
| Satisfaction Survey Definition | Data artifact | A versioned post-interaction questionnaire specifying the satisfaction (1-5), likelihood-to-recommend (0-10) and customer-effort (1-7) questions and scales used to measure agent user experience. |
| Score-Only Judge | Software component | An LLM judge that returns evaluation scores without exposing any reasoning trace for its verdict. |
| Semantic Similarity Scorer | Software component | A response scorer that measures accuracy as the semantic similarity between an agent response and an expert-validated ground-truth answer. |
| Sentiment Classifier | Software component | An NLP component that labels feedback text as positive, neutral or negative, optionally per aspect such as retrieval speed or transaction capability. |
| Service Degradation Predictor | Software component | A predictive monitor that analyses real-time streaming telemetry for server degradation patterns and latency spikes that will soon affect users, raising them before user impact. |
| Service Level Objective Specification | Data artifact | A specification of target latency percentiles, minimum throughput and maximum cost per request against which serving configurations and monitors are validated. |
| Shadow Test Runner | Software component | A version experimenter that runs a new agent version silently alongside production, logging what it would have done without executing those actions. |
| Simulated User Agent | Software component | An evaluation component that plays the user role in multi-turn benchmark episodes, issuing requests grounded in natural-language scenario instructions to the agent under test. |
| Simulated Web Environment | Software component | A self-contained, reproducible replica of realistic websites and auxiliary tools against which agents are evaluated, with controllable variation of layouts and injected imperfections. |
| Smoke Tester | Software component | A post-deployment check that sends real requests to a newly deployed service (health endpoint, simple query, authenticated call) to verify basic functionality in its target environment. |
| Sparse Autoencoder | Model asset | A model trained to decompose a language model's activations into sparse combinations of interpretable features. |
| State Outcome Scorer | Software component | A response scorer that judges task success by comparing environment or database state before and after the agent acts, independent of the interaction path taken. |
| Statistical Comparator | Software component | A comparison service that tests whether metric differences between a candidate and a baseline or control group are statistically significant, reporting p-values and confidence intervals. |
| Strategic Evaluation Sampling Policy | Data artifact | An evaluation sampling policy that combines a random sample with oversampling of errored (and edge-case) traces. |
| Streaming Quality Monitor | Software component | A production quality monitor that evaluates each prediction as it occurs and streams metrics continuously to the monitoring system for real-time alerting. |
| Synthetic Scenario Generator | Software component | An evaluation-data component that uses an LLM to generate diverse test scenarios within expert-defined database schemas and policy documents. |
| Task Success Evaluator abstract | Software component | An abstract evaluation component that judges whether, and how well, an agent run accomplished its task, producing success or partial-credit scores. |
| Telemetry Change-Point Detector | Software component | A monitoring component that runs statistical change-point detection across all collected telemetry, including metrics no one actively tracks, to surface unanticipated behavioural changes before they compound. |
| Telemetry Gateway | Software component | An intermediate telemetry aggregation service that receives traces from many sources, buffers them during backend unavailability, applies sampling, enriches them with environment metadata, and forwards them to backends. |
| Test Case Mutator | Software component | A test-generation component that derives edge-case test cases from valid happy-path cases by mutating parameters to boundary or invalid values and combining edge conditions. |
| Time-Series Metrics Store | Data store | A database of timestamped metric samples collected from agents and infrastructure, queryable for rates, percentiles and trends. |
| Token Cost Meter | Software component | A metering component that attributes token consumption and inference cost to agent tasks and steps. |
| Token Predictability Analyzer | Software component | An analysis component that measures the distribution of token probabilities in a workload's generations to predict speculative-decoding acceptance before deployment. |
| Tool Call Accuracy Evaluator | Software component | A programmatic evaluator that validates recorded tool calls against schemas and ground-truth references, scoring tool selection, per-parameter correctness and execution success. |
| Tool Concurrency Auditor | Software component | An auditing component that correlates tool invocations across agents through shared trace IDs to detect simultaneous invocations of tools modifying the same shared resource. |
| Tool Efficiency Scorer | Software component | A response scorer that analyses an agent's tool-call sequence for a task and penalizes redundant or suboptimal invocations. |
| Tool Fault Injector | Software component | A test component that replaces tool success responses with errors, empty results, unexpected formats, latency or unavailability during evaluation to exercise agent error handling. |
| Tool Protocol Conformance Validator | Software component | A test component that validates a tool-protocol server's protocol conformance, verifies connectivity and exercises its tool integrations before agents rely on it. |
| Tool Usage Analyzer | Software component | An analytics component that monitors production tool-call patterns to detect overuse, underuse, redundant calls, and poor tool selection. |
| Trace Collector | Software component | A telemetry component that captures agent reasoning steps, tool invocations with parameters, latencies, errors, and retries as structured traces. |
| Trace Context Propagator | Software component | A telemetry component that propagates shared trace, session and parent-span identifiers across agent handoffs and service boundaries so distributed spans correlate into one causally ordered trace. |
| Trace Error Classifier | Software component | An analysis component that classifies error events in traces as expected (handled by designed recovery such as retries or fallbacks) or unexpected (unhandled or recovery-exhausting). |
| Trace Exporter | Software component | A telemetry SDK component that formats, batches and ships instrumented trace events over a standardized protocol to a collector or observability backend. |
| Trace Pattern Miner | Software component | An analysis component that mines stored agent traces to discover common agent paths, usage patterns, error clusters and performance segments, surfacing low-performing and high-cost steps. |
| Trace Sampling Policy | Data artifact | A feature-flag-driven configuration determining per request whether to collect full, sampled, confidence-conditional, user-triggered or minimal traces. |
| Trace Schema | Data artifact | A structured contract defining hierarchical spans (start/end time, metadata, parent-child links, trace IDs) and the per-span fields agent traces must carry, aligned with OpenTelemetry semantic conventions. |
| Trace Store | Data store | A store of captured agent execution traces that supports technical-view explanations, debugging, and audit investigation. |
| Trace Visualizer | Software component | An analysis interface that renders stored traces as interactive timelines with hierarchical drill-down, error highlighting, side-by-side trace comparison, and span filtering and search. |
| Trajectory Matching Evaluator | Software component | A task success evaluator that compares an agent's executed action sequence against a golden reference trajectory. |
| Trajectory Scorer | Software component | A response scorer that evaluates how an agent reached its result, assessing reasoning-chain soundness, tool-selection sequence, strategy adaptation and decision transparency from execution traces. |
| Unit Test Suite | Data artifact | A set of fast tests validating individual tool functions in isolation with external APIs, databases and memory backends mocked, without invoking LLM reasoning. |
| User Feedback Store | Data store | A store of explicit user feedback (ratings, comments, issue tags) and implicit behavioural events linked to agent interactions for analysis. |
| Vector Store Capacity Monitor | Software component | A monitoring component that periodically collects per-collection object counts, per-shard disk usage, memory and node/shard status from a vector store to detect stalled ingestion and forecast capacity. |
| Weighted Aggregation Quality Scorer | Software component | A reasoning quality scorer that computes a weighted average of dimension scores with weights reflecting application priorities. |
| Workflow Execution Debugger | Software component | A developer observability tool that inspects per-step workflow state, visualizes the execution path, and rewinds to a stored checkpoint to replay execution with modified state or parameters. |
Safety & Security (130)
Cross-cutting component that prevents, detects, or contains harmful inputs, outputs, and actions.
| Component | Kind | Definition |
|---|---|---|
| API Key Authenticator | Software component | An authentication component that admits only requests presenting a configured secret API key mapped to a user, rejecting anonymous access. |
| Access Anomaly Detector | Software component | A monitoring component that analyses personal-data access logs for anomalous patterns such as unusual access times, bulk exports, repeated failed authentication or unexpected locations, and raises security alerts. |
| Action Policy Engine | Software component | A policy enforcement component that authorises or blocks agent actions and tool access against permission scopes and safety prerequisites such as approvals, backups, or tickets. |
| Action Risk Tier Policy | Data artifact | An externalized configuration classifying each agent action as autonomous, approval-required or prohibited, with unknown actions defaulting to prohibited. |
| Action Sequence Policy | Data artifact | A declarative set of prerequisite, ordering and prohibited-action rules stating which actions must precede others and which tools may never be invoked. |
| Agent Circuit Breaker | Software component | A protective control that automatically pauses an agent when accumulated errors exceed a threshold and keeps it paused until a human reviews and resumes it. |
| Alignment-Score Fact Checker | Software component | A fact checking rail that scores claim-to-reference alignment with a GPU-accelerated embedding-based alignment model, trading some accuracy for very low overhead. |
| Allow-List Output Filter | Software component | A content safety filter that permits only outputs explicitly enumerated in an approved set and blocks everything else. |
| Approved Source Allowlist | Data artifact | A list of approved, trusted document sources (e.g., peer-reviewed publications) against which retrieved document provenance is validated. |
| Attribute-Based Access Policy | Data artifact | A declarative ABAC rule set combining agent, resource, action and environmental attributes into context-dependent authorization and approval requirements. |
| Audience Appropriateness Filter | Software component | An output guardrail that checks a response against content restrictions for the user's age group, applying stricter category restrictions for children than for teens. |
| Authorization Policy Decision Point | Software component | A policy engine that evaluates fine-grained authorization rules for API requests and returns allow/deny decisions, separating policy decisions from gateway enforcement. |
| Automated Containment Responder | Software component | A response component that, on a sandbox anomaly alert, terminates the suspicious execution, destroys and recreates the compromised container, or escalates to the security team. |
| Bias Classifier Model | Model asset | Classifier weights trained on thousands of labeled examples to distinguish biased (gender, racial, cultural stereotyping) from neutral text. |
| Bias Indicator Rule Set | Data artifact | A configuration of explicit bias-indicator patterns, such as gendered adjective pairs ("assertive" vs. "bossy"), racial stereotypes, and age-related assumptions, used by rule-based bias detection. |
| Blocking Violation Response Policy | Data artifact | A violation response policy that blocks the output and returns a standardized, polite refusal (hard or softened with explanation). |
| Canonical Form Matcher | Software component | A matching component that maps a user utterance to a declared canonical intent by semantic similarity to its example phrases, generalizing beyond the enumerated wordings. |
| Cascaded Fact Checker | Software component | A fact checking rail that runs alignment scoring on all responses, escalates marginal-confidence cases to NLI verification and only ambiguous residue to self-check LLM critique. |
| Certificate Authority | Software component | A trust service that issues and automatically rotates short-lived X.509 certificates so edge systems and the management plane can mutually authenticate. |
| Classifier Bias Detector | Software component | A bias detector that applies a machine-learning classifier trained on labeled biased and neutral text to recognise implicit discriminatory language patterns. |
| Classifier Jailbreak Detector | Software component | A jailbreak detector that applies a classifier fine-tuned on jailbreak datasets for deeper analysis of suspicious input. |
| Client Rate Limiter | Software component | An entry-point control that caps the request rate per client or source address, throttling repeated abusive attempts such as jailbreak probing or shedding excess traffic. |
| Collusion Monitor | Software component | A monitoring component that detects coordinated behaviour patterns indicating coalitions or collusion among supposedly competing agents. |
| Container Escape Test Suite | Data artifact | A versioned set of reproductions of documented container escape exploits used to verify that sandboxes block them. |
| Container Image Scanner | Software component | A security component that inspects built container images for known vulnerabilities in base images and dependencies and fails the build on critical CVEs. |
| Container Security Context | Data artifact | A per-workload security specification restricting the system resources and kernel capabilities a container may use. |
| Content Deny List | Data artifact | A maintained list of forbidden words, phrases, regular expressions and known harmful patterns, including domain-specific compliance phrases, drawn from static threat intelligence and dynamic security-team updates. |
| Content Safety Filter abstract | Software component | An abstract filter that inspects model input or output text for harmful, toxic or policy-violating content and flags, blocks or passes it before delivery. |
| Content-Modification Violation Response Policy | Data artifact | A violation response policy that masks or rewrites violating content to bring the output into compliance before delivery. |
| Context-Aware PII Detector | Software component | A PII detector that uses document structure and keyword proximity to field labels to classify otherwise generic values, such as numbers labelled 'Patient ID', as PII. |
| Data Subject Identity Verifier | Software component | A verification component that confirms a data-subject request originates from the person who owns the data, by matching account credentials or confirming through email, before fulfilment. |
| Dedicated Hardware Sandbox | Infrastructure resource | An execution environment isolated on bare-metal hardware dedicated to a single customer. |
| Deny-List Content Filter | Software component | A content safety filter that blocks text matching any entry of a deny list of forbidden words, phrases or compiled regular expressions. |
| Device Attestation Service | Software component | A security service that verifies edge device integrity through hardware-backed attestation before the device is trusted. |
| Dialog Rail | Software component | A guardrail that decides, per conversational turn, whether the LLM runs, substituting predefined responses, executing custom actions or conditionally invoking the LLM according to declared dialogue flows. |
| Disclaimer Injector | Software component | An output guardrail that modifies responses to meet standards by appending domain-appropriate compliance disclaimers or converting absolute statements into hedged language. |
| Document PII Redactor | Software component | An ETL transformation component that replaces detected PII spans in source documents with typed placeholder masks before chunking and embedding, routing uncertain detections to human review. |
| Domain Compliance Rail abstract | Software component | An abstract output guardrail that checks a proposed response against domain-specific regulatory rules and, on violation, halts delivery and returns a standardized refusal with a logged reason. |
| Entropy-Based Hallucination Detector | Software component | A tool hallucination detector that monitors token-probability entropy while the generating model produces parameter values and flags values whose entropy exceeds thresholds derived from correct-invocation baselines. |
| Execution Rail | Software component | A guardrail that validates tool-call inputs and tool results bidirectionally, rejecting calls that touch protected fields, redacting sensitive result fields and enforcing rate, batch and cost limits. |
| Execution Sandbox abstract | Infrastructure resource | An isolated execution environment for running untrusted, agent-generated code without exposing host systems. |
| Fact Checking Rail abstract | Software component | A guardrail that verifies claims in a generated response against trusted source passages before delivery, rejecting or correcting responses whose claims are unsupported or contradicted. |
| Field-Level Encryptor | Software component | A security component that encrypts sensitive personal-data fields at rest with keys obtained from a separate key management service, so database compromise alone does not expose plaintext. |
| Full Enforcement Mode | Data artifact | A policy enforcement mode in which all policies block prohibited actions and violations trigger automated remediation workflows. |
| Guardrail Orchestrator | Software component | A wrapper runtime placed between application code and an LLM endpoint that intercepts each request and response and executes the configured rails in sequence, deciding whether inference proceeds. |
| Guardrail Policy | Data artifact | A declarative, version-controlled configuration of rail definitions — canonical user intents, predefined bot responses, dialogue flows, enabled rails, thresholds and fact-checking method — that programs guardrail behaviour independently of the LLM. |
| Hallucination Risk Flagger | Software component | A decision guardrail that flags factual claims or recommendations lacking supporting retrieved sources as hallucination risks requiring human review. |
| Heuristic Jailbreak Detector | Software component | A jailbreak detector that flags attacks from perplexity drops, prompt-injection patterns (e.g., regular expressions) and known jailbreak preambles. |
| Human-Escalation Violation Response Policy | Data artifact | A violation response policy that routes uncertain principle applications to human reviewers for judgment instead of deciding automatically. |
| Identity Provider | Software component | A service that authenticates agents and issues and refreshes secure tokens so only authorised agents access sensitive tools. |
| Input Rail | Software component | A guardrail that screens each user message before LLM processing for jailbreak attempts, off-topic requests and sensitive data, rejecting or answering with predefined responses without invoking inference. |
| Interaction Data Anonymizer | Software component | A privacy component that minimizes and anonymizes collected interaction records, hashing queries and dropping user identifiers and personal data, before they are stored for improvement analysis. |
| Interaction Safety Scanner | Software component | An automated assessment component that scans agent interactions for harmful language, prompt injection attempts, and sensitive information leakage. |
| Jailbreak Detector abstract | Software component | A detection component that identifies jailbreak and prompt-injection attempts in user input, such as role-play manipulations or known attack preambles. |
| Jurisdictional Principle Selector | Software component | A runtime policy component that selects the applicable regional principle set for each interaction by user jurisdiction while always applying core principles. |
| Just-in-Time Credential Broker | Software component | A security service that obtains fresh, short-lived, task-scoped credentials for each agent task or sandbox session instead of standing credentials. |
| Key Management Service | Software component | A service that generates, stores and releases encryption keys for at-rest data so keys never persist on the devices that hold the encrypted data. |
| LLM Self-Check Output Rail | Software component | An output guardrail that prompts the LLM itself, as a judge, to assess whether its own proposed output violates content policies before delivery. |
| LLM-Judge Bias Detector | Software component | A bias detector that prompts a large language model, given an output and its demographic context, to judge whether the output contains stereotypes, demographic assumptions, or differential treatment. |
| Least-Privilege Permission Set | Data artifact | A declarative grant of the minimum object-, operation-, field- and record-level permissions an agent identity needs, starting from a default of zero access. |
| Memory Write Validator | Software component | A validation gate between perception and long-term storage that checks candidate memories for consistency, hallucination patterns and multi-source confirmation before persistence. |
| MicroVM Sandbox | Infrastructure resource | An execution sandbox that runs each container inside a lightweight hardware-virtualized VM with its own guest kernel while preserving container APIs. |
| Model Integrity Validator | Software component | A security component that verifies model artifacts use a non-executable tensor serialization format, scans them for known vulnerabilities and validates their integrity before loading. |
| Moderation Inference Service abstract | Software component | An abstract service that executes content-classification inference for moderation filters and returns category scores. |
| Moderation Threshold Policy | Data artifact | A configuration of classifier score thresholds that separate auto-allow, human-review and auto-block bands for moderated content, tuned per use case. |
| Monitor-Only Enforcement Mode | Data artifact | A policy enforcement mode in which every action is evaluated and the outcome logged, but no action is blocked, building a baseline behavioural profile. |
| Monitor-Only Violation Response Policy | Data artifact | A violation response policy that lets a borderline action or output proceed while logging and alerting on it for later human review of whether policy refinement or agent retraining is needed. |
| Multi-Strategy PII Detector | Software component | A PII detector that combines pattern, NER and context-aware detection results into a single confidence-scored set of PII findings. |
| NER PII Detector | Software component | A PII detector that uses a named-entity recognition model to label person names, organizations, locations and other semantic entities as PII. |
| NLI Fact Checker | Software component | A fact checking rail that classifies each claim as entailed by, contradicting, or neutral to source documents using a specialized natural language inference model. |
| Output Allow List | Data artifact | An approved set of permissible outputs, such as a response template library, standardized code set or pre-approved safe operations, against which allow-list filtering is performed. |
| Output Bias Detector abstract | Software component | A runtime post-filter that scores each response for biased or discriminatory language, including dog whistles, stereotyping and microaggressions, and blocks it or flags uncertain cases for human review. |
| Output Rail | Software component | A guardrail that screens agent output against scope and policy constraints and blocks or modifies disallowed content before delivery. |
| Output Risk Stratifier | Software component | A routing component that classifies each output by criticality and applies a correspondingly lighter or stricter chain of output controls. |
| Output Structure Validator | Software component | An output guardrail that checks responses against predefined form criteria: JSON or XML well-formedness, schema compliance, length bounds and presence of required elements. |
| PII Allowlist | Data artifact | A list of entities, such as public figures, whose names are not sensitive and must be excluded from PII redaction. |
| PII Detector abstract | Software component | An abstract privacy component that locates personally identifiable information spans in document text and reports each with a PII type, detection method and confidence score. |
| PII Pattern Library | Data artifact | A library of regular-expression patterns for generic and industry-specific structured PII, such as medical device IDs and financial instrument identifiers. |
| PII Redactor | Software component | A guardrail that detects personally identifiable information in agent responses and masks or removes it before delivery. |
| Parameter Context Grounding Validator | Software component | A pre-execution gate that checks tool parameters for consistency with conversation state, explicit user constraints, resolved temporal references and stable entity references. |
| Parameter Provenance Validator | Software component | A pre-execution validation gate that traces each tool parameter value to a legitimate source (user input, authenticated session, retrieved context or prior tool output) and blocks untraceable or low-confidence values. |
| Parameter Security Validator | Software component | A pre-execution gate that checks tool parameters against the authenticated principal's authorization scope, sanitizes external inputs and detects attack patterns before tool invocation. |
| Pattern Compliance Checker | Software component | A domain compliance rail that detects regulated content, such as explicit investment-advice phrases and price predictions, by pattern matching. |
| Pattern PII Detector | Software component | A PII detector that matches regular-expression patterns for structured identifiers such as Social Security numbers, credit card numbers, phone numbers and email addresses. |
| Penetration Tester | Human role | An external security specialist who attempts to compromise systems holding personal data using the same techniques malicious actors employ, to reveal exploitable vulnerabilities before attackers do. |
| Physical Safety Envelope | Data artifact | A policy of physical operating limits for an autonomous robot, including speed limits, maximum force application and proximity zones around human workers. |
| Pod Network Policy | Data artifact | A declarative firewall rule set specifying allowed ingress and egress traffic between workloads by label and namespace. |
| Policy Context Aggregator | Software component | A policy information component that assembles the evaluation context for a proposed agent action from agent identity, user context, tool metadata and environmental signals such as time, system load and security alerts. |
| Policy Enforcement Mode Configuration abstract | Data artifact | An abstract configuration setting, per policy, whether the policy engine only logs evaluation outcomes, blocks violations, or blocks and launches automated remediation. |
| Policy Violation Responder | Software component | An automated remediation component that, when the policy engine blocks a prohibited action, logs full context, notifies the security team and triggers review of the agent's recent activity. |
| Protected Field Policy | Data artifact | A declarative list of data fields (e.g., credit card numbers, psychiatric diagnoses, internal fraud scores) that agents must not query, receive or disclose. |
| Protected Field Redactor | Software component | A runtime filter that removes fields designated as protected from structured retrieved records or tool results while keeping permitted fields for LLM processing. |
| Rate Limiter | Software component | A control that caps the rate of agent tool invocations to protect downstream systems from overload by runaway agents. |
| Red Team Tester | Human role | A security researcher who attempts to bypass guardrails with novel jailbreaks, subtle prompt injections and social engineering so that discovered bypasses can be fixed. |
| Reflexive Safety Controller | Software component | A pre-programmed finite-state reactive controller that executes emergency stops or evasive manoeuvres on safety-critical sensor events without consulting planning layers. |
| Repetition Loop Detector | Software component | An output guardrail that detects a model generating the same phrase or paragraph repeatedly and flags the response as a generation failure requiring intervention. |
| Restricted Domain Policy | Data artifact | A configuration listing restricted topics and advice domains (e.g., medical, legal, financial) with trigger keywords and the required action, such as decline or general information only. |
| Retrieval Rail | Software component | A guardrail that filters retrieved chunks after semantic search and before LLM context injection, redacting protected fields, rejecting unapproved sources and enforcing claim-to-passage citation. |
| Rule Constraint Filter | Software component | A safety component that eliminates candidate actions violating rule-encoded safety, regulatory or policy constraints, defining the feasible action space before optimisation. |
| Rule-Based Bias Detector | Software component | A bias detector that matches explicit bias indicators, such as gendered descriptors, racial stereotypes, or age assumptions, against a configured rule set. |
| Runtime Security Policy | Data artifact | A declarative rule set specifying permitted system calls, accessible file paths, spawnable processes and reachable network destinations for sandboxed execution. |
| Runtime Security Policy Enforcer | Software component | A runtime-integrated enforcement component that intercepts system calls, file accesses, process spawns and network operations inside a sandbox and blocks or escalates those violating policy. |
| Sandbox Anomaly Detector | Software component | A monitoring component that continuously observes sandboxed agent behavior and flags anomalous resource consumption, unexpected network connections, suspicious file access or repeated policy violations. |
| Sandbox Capability Test Suite | Data artifact | A set of positive tests for permitted sandbox operations and negative tests for forbidden file, network, process and resource operations. |
| Sandbox Validation Runner | Software component | A testing component that executes capability, container-escape and breach-simulation tests against deployed sandboxes to verify legitimate operations succeed and dangerous ones fail. |
| Scoped Access Token | Data artifact | A short-lived credential carrying only the specific OAuth 2.0 scopes (e.g., read:calendar) an agent capability requires. |
| Secrets Vault | Data store | A secure store of API keys and credentials used by tools, from which agents obtain current credentials. |
| Secure Boot Verifier | Software component | A boot-time integrity component that measures firmware, operating system and container components and refuses to execute any whose signature or hash does not match known-good values. |
| Security Analyst | Human role | A security or ML-safety team member who investigates safety-violation alerts, adversarial prompting patterns and the effectiveness of guardrail policies. |
| Self-Check LLM Fact Checker | Software component | A fact checking rail that runs the LLM a second time to critique its own output against sources, catching subtle logical inconsistencies at roughly double inference cost. |
| Self-Hosted Moderation Service | Software component | A moderation inference service running a classification model on the organization's own CPU or GPU infrastructure. |
| Semantic Compliance Classifier | Software component | A domain compliance rail that uses semantic similarity models to detect regulated intent, such as advice giving, independent of surface wording. |
| Sensitive Topic Detector | Software component | A classifier that detects conversation content on sensitive topics, such as harassment complaints, legal disputes, emotional distress or security concerns, that requires immediate human handling. |
| Shared-Kernel Container Sandbox | Infrastructure resource | An execution sandbox built from a standard container using kernel namespaces and cgroups, sharing the host kernel with co-located containers. |
| Soft Enforcement Mode | Data artifact | A policy enforcement mode that blocks violations only of critical, high-impact policies while lower-risk policies remain in monitor mode. |
| Static Security Scanner | Software component | A source-code security scanner that detects insecure patterns such as hardcoded secrets, injection-prone queries, unsafe deserialisation and unsanitised user input interpolated into prompt templates. |
| Swarm Anomaly Detector | Software component | A monitoring component that identifies systematically faulty swarm members and excludes them from coordination. |
| Syscall-Interception Sandbox | Infrastructure resource | An execution sandbox that intercepts application system calls in a user-space kernel implementation, validating or rejecting them before they reach the host kernel. |
| Third-Party Moderation Service | Software component | A moderation inference service consumed as an external API that scores submitted content for toxicity or other harm categories. |
| Time-Bound Permission Grant | Data artifact | A temporary elevated permission bound to a validity window after which it is automatically revoked. |
| Tool Call Verifier Model | Model asset | A model trained on labeled examples of correct and hallucinated tool calls that predicts, with calibrated confidence, whether a proposed tool invocation is valid. |
| Tool Hallucination Detector abstract | Software component | An abstract detector that estimates, from model confidence signals, whether a proposed tool call or parameter is likely hallucinated, flagging low-confidence calls for verification. |
| Toxicity Classification Model | Model asset | Pre-trained classifier weights, trained on large-scale datasets of toxic and benign content, that output a toxicity confidence score for a text. |
| Toxicity Classifier | Software component | A content safety filter that scores text with a machine-learning model trained on labeled toxic and benign content and flags it when the score exceeds a threshold. |
| User Identity Verifier | Software component | A security component that verifies an end user's identity, for example through multi-factor authentication, before the agent accesses accounts or executes financial or claims transactions. |
| Verifier-Model Hallucination Detector | Software component | A tool hallucination detector that submits each proposed tool call to a separately trained, calibrated verifier model and allows execution only when the verifier confirms the call is valid. |
| Violation Response Policy abstract | Data artifact | An abstract configuration stating what the system does when an output is judged to violate, or plausibly violate, a principle. |
| Violation Severity Policy | Data artifact | A mapping of guardrail violation types to severity levels (e.g., injection attempt and PII leak critical, unauthorized tool high, low confidence medium). |
| Vulnerability Gate Policy | Data artifact | A policy stating which vulnerability severities, with or without available fixes, fail a build, and how explicitly acknowledged CVE exceptions are handled. |
| Warning-Label Violation Response Policy | Data artifact | A violation response policy that delivers the output with warnings or disclaimers attached, such as misinformation warnings, confidence disclaimers or 'consult a professional' notices. |
Governance & Compliance (156)
Cross-cutting component for policy, fairness, privacy, auditability, and regulatory conformance.
| Component | Kind | Definition |
|---|---|---|
| AI Auditor abstract | Human role | An abstract independent reviewer role that examines AI governance, technical, operational, safety and regulatory evidence to determine conformance and reports graded findings. |
| AI Control Catalog | Data artifact | A catalog of technical and organizational AI controls grouped by category (governance, data, bias and fairness, transparency, risk management, monitoring, incident management, human oversight) with applicability by risk tier. |
| AI Documentation Reviewer | Human role | A human reviewer with domain and ethical expertise who reviews, edits and certifies automatically generated AI documentation for accurate characterization of capabilities, limitations and impacts. |
| AI Governance Policy | Data artifact | A leadership-approved policy artifact stating acceptable AI uses, prohibited applications, governance decision procedures, and criteria for when human oversight is required. |
| AI Impact Assessment Record | Data artifact | A structured assessment recording, at problem formulation, which stakeholders and communities a proposed AI system may harm, fairness and privacy considerations, alternatives, and the resulting design decisions. |
| AI Incident Classification Policy | Data artifact | A policy defining what constitutes an AI incident (performance degradation beyond thresholds, bias exceeding acceptable levels, security compromise, harmful outputs reaching users, regulatory violation) and its severity classes. |
| AI Risk Tier Classifier | Software component | A governance component that assigns each inventoried AI system a risk category from failure impact, affected populations, applicable regulation and organizational dependence, so controls can be proportionate. |
| AI System Context Record | Data artifact | A per-system governance document capturing the operational deployment context, stakeholder analysis, intended and off-label uses, and domain assumptions against which risks and impacts are assessed. |
| AI Use Inventory | Data artifact | A mapping of every customer touchpoint, internal decision process and organizational role in which AI influences what users see or experience. |
| Accessibility Auditor | Software component | An automated conformance checker that scans agent interfaces on every build for accessibility defects such as missing alt text, insufficient contrast, invalid markup, and missing ARIA labels. |
| Accountable AI Executive | Human role | A named senior executive assigned ultimate accountability for AI governance, who allocates resources, receives risk escalations, signs risk acceptances and conducts management review. |
| Adoption Readiness Scorecard | Data artifact | An organizational assessment scoring executive sponsorship, technical readiness, change capacity and user readiness (each out of 10) into a readiness index that gates the start of an agent rollout. |
| Agent-Specific Policy | Data artifact | An enforceable policy set scoped to a single agent deployment that handles edge cases and experiments, e.g., reduced transaction limits and mandatory approvals while a new agent is validated. |
| Approval Authority Matrix | Data artifact | A configuration mapping decision types and risk tiers (e.g., monetary bands) to the organizational role authorised to approve them. |
| Approval Pattern Auditor | Software component | A governance component that analyses accumulated human approval decisions for systematic problems, such as approvers with outlier approval rates, patterns clustering along protected demographic categories, or inconsistent standards, sampling decisions to measure approval accuracy. |
| Approval Timeout Fallback Policy abstract | Data artifact | An abstract policy setting the automatic outcome when no approver in the escalation chain responds before the final deadline. |
| Audit Log Store | Data store | A durable record of agent decisions, tool invocations, human interventions, approvals, and reviewer rationale supporting compliance review and forensic analysis. |
| Audit Scope Definition | Data artifact | A checklist configuration defining which governance, technical, operational, safety-and-ethics and regulatory compliance items an AI audit examines. |
| Auto-Approve Timeout Fallback | Data artifact | A timeout fallback policy that automatically approves expired approval requests to preserve operational velocity. |
| Auto-Reject Timeout Fallback | Data artifact | A timeout fallback policy that automatically rejects expired approval requests and alerts operations about the approval breakdown. |
| Bias Evaluator | Software component | A governance component that audits models and reward models for fairness, measuring demographic parity and disparate impact before and after deployment. |
| Bias Mitigator abstract | Software component | An abstract fairness component that corrects detected bias in a decision model by intervening on its training data, its training objective, or its output decisions. |
| Candidate Rule Queue | Data store | A holding store of learned candidate rules awaiting consistency checking, empirical validation and expert review, with their validation scores. |
| Change Champion | Human role | An early-adopter user, respected by peers, who provides peer support and training help and acts as a feedback bridge between users and the change team. |
| Change Manager | Human role | A designated human who leads the phased organizational rollout of an agent system: preparation, announcement, training, pilot, staged rollout and stabilization, including addressing resistance. |
| Compliance Audit Report | Data artifact | A formal audit output recording overall compliance status, findings graded Critical/High/Medium/Low with evidence, impact, remediation, timeline, owner and status, trends since the last audit, and approvals. |
| Compliance Dashboard | Software component | A dashboard presenting status, key indicators, last review dates and trends for safety, fairness, privacy, security and regulatory compliance. |
| Compliance Document Validator | Software component | A governance checker that verifies each compliance document is dated, authored, versioned, approved and reviewed within the required period. |
| Compliance Evidence Collector | Software component | A governance component that gathers compliance evidence — security, fairness, performance and functionality test results and ongoing monitoring data — and archives it with timestamps. |
| Compliance Evidence Repository | Data store | A central, versioned, securely retained store of compliance evidence: system, governance, operational and compliance documentation, test results and monitoring data, organized for audit and regulatory retrieval. |
| Compliance Gate | Software component | An automated pipeline gate that fails a build or release when security, fairness, privacy or documentation compliance checks do not meet defined thresholds. |
| Compliance Officer | Human role | A human role accountable for verifying that evaluation protocols, approved model versions and reviewed prompts satisfy regulatory requirements before production promotion. |
| Compliance Policy Rule Set | Data artifact | A configuration of business policy limits, such as maximum discounts, refund windows and eligibility rules, against which evaluated responses are checked. |
| Compliance Report Generator | Software component | A reporting component that periodically compiles compliance status per area, findings, metrics, trends and recommendations into a formatted report distributed to stakeholders. |
| Compliance Requirement Crosswalk | Data artifact | A mapping from each applicable framework, standard and regulation requirement to the shared controls, metrics and evidence that satisfy it, enabling one unified governance program. |
| Configuration Repository | Data store | A version-controlled store of every agent configuration element (prompts, tool definitions, model versions, retrieval configurations, hyperparameters) enabling reconstruction of any past system state. |
| Consent Basis | Data artifact | A lawful basis record grounded in the individual's freely given, specific, informed and unambiguous affirmative permission for one distinct processing purpose. |
| Consent Enforcement Gate | Software component | A runtime gate that permits data collection or processing for a purpose only while valid consent or another lawful basis exists, blocking non-essential trackers and halting collection immediately on withdrawal. |
| Consent Manager | Software component | A governance service that presents granular per-purpose consent requests, records affirmative choices and processes withdrawals received through any channel so they take effect downstream. |
| Consent Registry | Data store | A store recording each data subject's granular, informed consent decisions per data-use purpose, such as opting into fairness monitoring while declining marketing use. |
| Constitution abstract | Data artifact | A versioned, human-readable set of explicit natural-language principles (e.g., helpful, harmless, honest; domain rules) that guides model training and runtime behaviour and can be publicly inspected and debated. |
| Constitution Authoring Board | Human role | A cross-functional, multi-stakeholder group of ethicists, affected-community representatives, legal experts, policymakers, domain specialists and ML engineers accountable for constitutional principle content. |
| Content Freshness Policy | Data artifact | A policy of staleness detection rules setting review age thresholds and check frequencies by topic sensitivity, plus expiration handling for time-sensitive content. |
| Content Moderation Policy | Data artifact | A precise content guideline specifying what to block, why, and with which exceptions, illustrated with concrete edge-case examples, used by human reviewers and automated filters. |
| Continuous Compliance Monitor | Software component | A governance component that runs automated safety, fairness, privacy, security and operational compliance checks against baselines, logs results and alerts on failures. |
| Contract Basis | Data artifact | A lawful basis record for processing necessary to perform a contract with the individual or to take steps the individual requested before entering one. |
| Control Effectiveness Evaluator | Software component | A governance component that verifies whether implemented AI controls actually reduce their target risks, measuring coverage, design gaps and implementation gaps. |
| Cost Chargeback Service | Software component | A billing component that allocates metered cost to tenants and generates per-customer charges, optionally applying a markup over base cost. |
| Counterfactual Fairness Tester | Software component | An audit component that submits paired test cases differing only in a sensitive attribute (audit-study style) to a decision model and compares the resulting decisions. |
| DPIA Record | Data artifact | A living Data Protection Impact Assessment recording identified risks with harm pathways, data-flow mapping, mitigations, stakeholder impact, necessity and proportionality justification, residual risk and an approval decision. |
| Data Classification Policy | Data artifact | A policy defining data sensitivity levels (public, internal, confidential, restricted) and, for each, the required encryption, access-control granularity and retention. |
| Data Classifier | Software component | A governance component that assigns data a sensitivity level by detecting whether it contains PII, financial, customer or internal content. |
| Data Processing Agreement | Data artifact | A controller-processor contract specifying which personal data a vendor may process, how long it may retain it, whether subprocessors are permitted and deletion procedures at termination. |
| Data Protection Officer | Human role | A privacy-accountable human role that reviews lawful-basis choices, legitimate-interests assessments and DPIAs, handles escalated data-subject requests and advises on data-protection implications before new processing is adopted. |
| Data Quality SLA Specification | Data artifact | A specification of measurable data-quality targets (completeness, accuracy, duplicate rate, timeliness, format conformance) with accountability for a production knowledge base. |
| Data Representation Auditor | Software component | A data-audit component that measures the demographic distribution of a training dataset and flags protected groups that are underrepresented. |
| Data Retention Enforcer | Software component | A scheduled governance job that deletes personal data past its retention period and records an auditable deletion event for each completed deletion. |
| Data Subject | Human role | The identified or identifiable individual whose personal data an organization or AI system collects or processes, and who holds rights to access, rectify, erase, port and object to processing. |
| Data Subject Request Handler | Software component | A governance workflow component that receives access, rectification, erasure, portability and objection requests, has the requester's identity verified, routes each to its fulfilment component and tracks the statutory deadline. |
| Data Subject Request Queue | Data store | A holding store of pending data-subject rights requests (e.g., access, deletion) whose processing status is monitored for compliance. |
| Dataset Datasheet | Data artifact | A structured document describing a dataset's motivation, composition, collection process, preprocessing, intended and inappropriate uses, distribution terms and maintenance, used for training, validation or testing AI systems. |
| Decision Factor Explainer | Software component | An explanation component that states the specific factors, values and thresholds that drove an automated decision about an individual, so the person can understand and address the decision basis. |
| Decision Precedence Policy | Data artifact | A declarative priority hierarchy stating which decision paradigm or rule class prevails when components conflict, e.g., safety rules over strategic optimization over learned preferences. |
| Decision Threshold Adjuster | Software component | A post-processing bias mitigator that optimizes decision thresholds on a trained model's scores so that group outcome or error rates meet the target fairness criterion. |
| Decision Threshold Configuration | Data artifact | A configuration of score cut-offs applied to a decision model's outputs, set by threshold optimization to satisfy a fairness criterion. |
| Demographic Audit Dataset | Data artifact | A test dataset labeled with protected-group membership and covering demographic intersections (e.g., elderly Asian women), used to measure per-group model performance. |
| Demographic Data Store | Data store | A store of sensitive protected-attribute data (race, gender, age, disability) collected solely for fairness analysis, segregated from production systems. |
| Departmental Policy | Data artifact | An enforceable policy set that inherits the organizational baseline and adds domain-specific constraints for one business function, such as dual authorization or refund limits. |
| Differentially Private Fairness Auditor | Software component | A privacy-preserving fairness auditor that adds calibrated noise to demographic counts and fairness metrics under a tunable privacy budget (epsilon). |
| Erasure Orchestrator | Software component | A governance component that executes a verified erasure request across every system holding the subject's data, applying retention exceptions, marking backups beyond use, notifying processors and recording evidence. |
| Error Budget Policy | Data artifact | An organizational policy that binds error-budget state to engineering and release decisions: ship features while budget is healthy, prioritise reliability as it depletes, and freeze feature work once it is exhausted. |
| Escalate-Up Timeout Fallback | Data artifact | A timeout fallback policy that escalates an unanswered request further up the organizational hierarchy when the assigned human misses the response-time objective. |
| Escalation Chain Policy | Data artifact | A configuration of the ordered approver hierarchy for escalation, with a fresh but shorter SLA window per escalation level. |
| External Auditor | Human role | An AI auditor from an outside certification or assurance body who performs very comprehensive audits and issues a formal report or certification of conformity. |
| Fairness Audit Report | Data artifact | A documented record of per-group fairness metrics, detected disparities, their severity, and the methodology used for an audit cycle. |
| Fairness Auditor | Human role | A member of a diverse review team (affected-community representatives, domain experts, ethicists) who qualitatively reviews model outputs and flagged features for bias that metrics miss. |
| Fairness Threshold Policy | Data artifact | A policy artifact declaring protected attributes, the prioritized and secondary fairness metrics with their rationale, and acceptable thresholds (fairness SLOs) beyond which investigation and intervention are triggered. |
| Federated Fairness Auditor | Software component | A privacy-preserving fairness auditor that combines locally computed fairness statistics from multiple institutions into global fairness metrics without centralizing raw records. |
| Formal Rule Specification | Data artifact | Business rules and domain constraints (e.g., regulatory thresholds) encoded as formal logical constraints for automated verification. |
| Governance Decision Log | Data store | A persistent record of governance decisions, approval records, review meeting minutes and their rationales, including who authorized what and when. |
| Hallucination Threshold Policy | Data artifact | A policy artifact setting maximum acceptable hallucination rates per severity level and application domain for deployment and alerting decisions. |
| Harm Risk Register | Data artifact | A catalogue of identified potential harms (physical, financial, privacy, reputational, societal) scored by probability times impact severity, each with documented input, processing, output and monitoring mitigations. |
| Human Oversight Protocol | Data artifact | A documented specification of mandatory human review decision points, override-trigger factors, documentation requirements for approvals and overrides, escalation paths, and oversight performance metrics. |
| Internal Auditor | Human role | An AI auditor from an independent internal audit team who audits AI systems and the management system at planned intervals and reports findings immediately. |
| Lawful Basis Record abstract | Data artifact | An abstract documented justification establishing which of GDPR's six lawful bases authorizes a specific personal-data processing purpose. |
| Legal Obligation Basis | Data artifact | A lawful basis record for processing required by law, citing the specific legal provision that mandates it. |
| Legitimate Interests Basis | Data artifact | A lawful basis record containing a Legitimate Interests Assessment: the interest pursued, the necessity of processing for it, and a balancing test against individuals' rights and freedoms. |
| Model Card | Data artifact | A transparency document describing a model's intended use, training data, performance and fairness metrics by group, known limitations, and the rationale for features that passed fairness review. |
| Model Card Generator | Software component | A documentation automation component that extracts model architecture, training data statistics and performance metrics from registries and evaluation results to draft model cards for human review. |
| Model and Agent Release Registry | Data store | A versioned registry of deployable agent artifact sets (configuration, prompt templates, tool configurations, evaluation metrics) tagged with commit SHA and lifecycle stage for lineage and rollback. |
| Operational Norm Set | Data artifact | A context-specific set of behavioural norms and constraints translated from abstract values (e.g., fairness as demographic parity, equalized odds or individual fairness) that agents and their guardrails can computationally enforce. |
| Organizational Baseline Policy | Data artifact | An enforceable policy set applying to every agent regardless of function or department, codifying legal obligations, regulatory mandates and core security principles. |
| Oversight Governance Committee | Human role | A group of accountable humans, such as a safety committee or service leadership, that periodically reviews aggregate agent metrics and audit logs and refines policies, constraints and thresholds. |
| Personal Data Breach Notifier | Software component | A governance component that prepares and dispatches personal-data breach notifications to the supervisory authority and affected individuals from predefined templates within the statutory deadline. |
| Personal Data Breach Register | Data store | A log of personal-data breaches recording determined scope, impact assessment, notifications sent and remediation. |
| Personal Data Exporter | Software component | A fulfilment component that gathers all personal data held about a subject, including profile, interactions, conversations and algorithmic scoring details, into a portable machine-readable export with a data dictionary. |
| Personal Data Retention Policy | Data artifact | A policy stating, per personal-data category, how long data is kept for its purpose or legal obligation and when it must be deleted. |
| Policy Adherence Evaluator | Software component | An evaluation component that checks an agent's actions against domain policy documents and regulatory constraints, scoring task completion jointly with policy compliance. |
| Post-Hoc Review Timeout Fallback | Data artifact | A timeout fallback policy that automatically approves an expired, time-critical request while mandating retrospective human review that validates the decision after execution. |
| Principle Conflict Register | Data artifact | A maintained record documenting where regional or domain principles conflict with core principles and how each trade-off was resolved. |
| Principle Priority Policy | Data artifact | A declarative value hierarchy ranking constitutional principles and user intent for conflict scenarios, e.g., privacy versus security, safety versus autonomy, fundamental principles over user instructions. |
| Privacy Notice | Data artifact | A plain-language disclosure telling individuals what personal data is collected, for which purposes, who can access it, how long it is retained and which rights they hold. |
| Privacy-Preserving Fairness Auditor abstract | Software component | An abstract fairness-audit component that computes group fairness metrics while preventing identification of individuals' demographic data or outcomes. |
| Proxy Feature Detector | Software component | A bias-analysis component that identifies seemingly neutral input features, such as zip code, names, education credentials, or healthcare cost, that correlate with protected characteristics. |
| Public Task Basis | Data artifact | A lawful basis record for processing necessary for an official function or task carried out in the public interest, citing the authorizing provision. |
| Purpose-Based Access Controller | Software component | An access-control component that permits use of sensitive data only for purposes the data subject consented to, keeping fairness-monitoring data siloed from other applications. |
| Purpose-Bound Data Schema | Data artifact | A specification listing, for each processing purpose, the minimal personal-data fields permitted to be collected, stored or used for model training, derived from a per-element necessity assessment. |
| Qualitative Risk Matrix Scorer | Software component | A risk scorer that places each risk in a likelihood-band by impact-category matrix and reads off a LOW, MEDIUM, HIGH or CRITICAL level. |
| Quantitative Risk Scorer | Software component | A risk scorer that multiplies an estimated probability (0-1) by an impact magnitude (0-1) and maps the product to a risk level using numeric thresholds. |
| Records of Processing Register | Data store | A register of processing activities recording, per purpose, the lawful basis, personal-data categories, originating and storing systems, processors, accessing roles and retention period. |
| Regional Constitution | Data artifact | A constitution composed of universal core principles plus culturally-adapted, jurisdiction-specific principles that respect local legal requirements without contradicting core safety commitments. |
| Regional Moderation Policy | Data artifact | A jurisdiction-specific policy configuration customizing moderation standards per region while preserving core safety principles across all jurisdictions. |
| Regulatory Authority | Human role | An external regulator or supervisory body that receives required documentation and transparency information and investigates whether an organization's AI systems comply with applicable law. |
| Rejected Rule Log | Data store | A persistent record of candidate rules rejected during validation or expert review, with rejection rationale. |
| Release Approval Policy | Data artifact | A policy mapping change risk (version increment type, security sensitivity, regulatory scope) to the reviewers whose sign-off is required before production promotion. |
| Release History Log | Data store | A persistent record of each deployment event, capturing version, update type, outcome (success or rollback), timestamp, duration, affected users, previous version and changelog. |
| Remediation Tracker | Software component | A governance component that tracks audit findings, nonconformities and planned mitigations through owner assignment, corrective action and verified closure. |
| Retention Policy | Data artifact | A policy artifact stating how long graph data remains in the active store before archival. |
| Retry-Queue Timeout Fallback | Data artifact | A timeout fallback policy that places an escalation request that received no human response within its SLO into a queue for later retry. |
| Risk Acceptance Record | Data artifact | A signed record formally accepting a residual AI risk, stating business justification, monitoring plan, operating conditions, approvers and a re-assessment review date. |
| Risk Dashboard | Software component | A dashboard summarizing registered AI risks by level, new and resolved risks, top risks by score and mitigation progress. |
| Risk Escalation Criteria | Data artifact | A configuration of conditions under which AI risks escalate to executive attention, such as critical scores, multiple high risks, worsening trends or declining control effectiveness. |
| Risk Matrix | Data artifact | A configuration mapping likelihood bands and impact categories to risk levels for qualitative risk rating. |
| Risk Monitor | Software component | A governance component that periodically re-estimates each registered risk's probability and impact from live signals such as drift and vulnerability scans, updates the register and escalates threshold crossings. |
| Risk Score Threshold Policy | Data artifact | A configuration of numeric score cut-offs that map probability-times-impact products to risk levels and define target residual scores. |
| Risk Scorer abstract | Software component | An abstract governance component that assigns each identified AI risk a level by combining its estimated likelihood and potential impact, enabling prioritization. |
| Risk Tiering Criteria | Data artifact | A configuration of factors and thresholds (failure impact, populations affected, regulatory requirements, organizational dependence) used to assign AI systems to risk tiers. |
| Risk Tolerance Policy | Data artifact | A governance-approved statement of the organization's risk appetite and tolerance for AI risks, reflecting regulatory constraints, stakeholder values, strategic priorities and affected-population severity rather than financial capacity. |
| Risk Treatment Plan | Data artifact | A per-risk plan recording the chosen treatment (avoid, mitigate, transfer or accept), the specific technical and organizational controls, their expected probability or impact reduction, owners, timelines and target residual score. |
| Rule Acceptance Threshold Policy | Data artifact | A configuration of minimum coverage, precision and confidence thresholds a candidate rule must meet to advance toward production. |
| Rule Base Updater | Software component | A governance component that commits approved rule additions, refinements and retirements, with confidence scores and documented rationale, to the production rule base. |
| Rule Consistency Checker | Software component | A validation component that detects logical contradictions between a candidate rule and existing rules in the rule base. |
| Rule Firing Trace | Data artifact | A per-decision record of which rules fired, in what order, on which matched facts, and what each derived, forming the decision's complete reasoning chain. |
| Rule Impact Analyzer | Software component | A governance component that aggregates rule-firing statistics across logged decisions to attribute outcomes, including disparate impact, to individual rules. |
| Rule Validation Orchestrator | Software component | A governance component that sequences each candidate rule through consistency checking, empirical scoring, threshold gating and expert review before it may enter production. |
| Secure Multiparty Fairness Auditor | Software component | A privacy-preserving fairness auditor that uses secure multiparty computation protocols so that multiple parties jointly compute fairness metrics revealing only the final aggregates. |
| Semantic Versioning Policy | Data artifact | A versioning convention classifying agent changes as major (behaviour-breaking, e.g., model swap or prompt rewrite), minor (backward-compatible capability) or patch (fixes), with pre-release and build-metadata identifiers. |
| Separation of Duties Policy | Data artifact | An organizational control policy requiring that no single individual can both develop and authorize deployment or modification of an AI system without independent approval. |
| Spend Budget | Data artifact | A declared spending limit for a customer, feature or environment over a period, with warning and hard-limit utilization thresholds. |
| Spend Budget Enforcer | Software component | A control component that compares a principal's accumulated cost with its spending budget, warning at a soft threshold and rejecting further requests at the hard limit. |
| Stage Promotion Controller | Software component | A release-governance component that transitions registered agent versions between lifecycle stages only after automated quality gates pass and required human approvals are recorded. |
| State Retention Policy | Data artifact | A governance policy specifying how long persisted workflow state is kept after completion and when it must be deleted. |
| Synthetic Content Labeler | Software component | A provenance component that marks AI-generated text, image, audio and video outputs as synthetic, including machine-readable labels. |
| System Card | Data artifact | A system-level document extending model cards to a deployed AI system, describing how component models, datasets, guardrails and humans interact, including conflict handling, degradation behavior and the human-AI decision model. |
| Team Policy | Data artifact | An enforceable policy set customizing departmental constraints for a specific team's use case, such as broader data access for fraud-investigation agents. |
| Telemetry Retention Policy | Data artifact | A policy stating how long metrics, logs, traces and cost data are retained in hot and archive tiers and at what resolution. |
| Training Data Lineage Store | Data store | A record linking each model version to the exact datasets and data versions that influenced it, supporting security investigation and compliance verification. |
| Transparency Policy | Data artifact | An organizational policy specifying how disclosure, data governance, decision-logic, outcome-explanation and ethical-governance transparency are implemented across contexts. |
| Transparency Report | Data artifact | A periodic, often public, report aggregating AI governance information: deployed system inventory, fairness and demographic impacts, incidents and resolutions, documentation completeness and framework compliance. |
| Unified Constitution | Data artifact | A constitution applied identically across all users and deployment regions, stating one set of principles and priorities. |
| User Complaint Intake | Software component | An accountability channel through which users report harmful outputs or concerns and request review, with defined response and resolution timelines. |
| User-Configurable Constitution | Data artifact | A constitution whose relative principle priorities users can adjust within fixed boundaries set by non-configurable principles. |
| Value Alignment Criteria | Data artifact | Explicit criteria distinguishing legitimate proactive assistance, which serves users' stated goals and values, from manipulative intervention that exploits user weaknesses or psychological triggers. |
| Value Alignment Reviewer | Human role | A human who periodically examines whether proactive suggestions systematically serve or contradict users' stated goals and values, judging ethical acceptability beyond technical performance targets. |
| Versioned Agent Release | Data artifact | A semantically versioned snapshot bundling model identifier and parameters, prompt templates, tool configuration, evaluation metrics, container image digest and commit metadata for one agent release. |
| Vital Interests Basis | Data artifact | A lawful basis record for processing needed to protect someone's life or health in an emergency. |
Experience (49)
Component of the user/system interaction layer: conversational and graphical interfaces, streaming delivery, proactive notification.
| Component | Kind | Definition |
|---|---|---|
| AI Disclosure Renderer | Software component | A presentation component that discloses AI involvement to users in a channel-appropriate form, such as first-message banners, avatar badges, email footers, first-SMS notices with opt-out, or persistent in-app badges. |
| Accessibility Announcer | Software component | A presentation component that relays dynamic agent output and alerts to assistive technologies through live regions, buffering streamed text to announce only complete sentences. |
| Action Suggestion Engine | Software component | An inference component that analyses user selection, work context, and recent action history to predict and rank the next actions or follow-up questions a user likely wants. |
| Agent API Gateway | Interface | A single external HTTPS endpoint through which clients reach agent services, with TLS termination, authentication and rate limiting applied at the edge. |
| Agent User Interface abstract | Software component | An abstract user-facing interaction surface through which humans direct agents and perceive agent status, reasoning, uncertainty, evidence, and results. |
| Automatic Speech Recognizer abstract | Software component | An abstract speech-to-text service that converts spoken audio into text transcripts for consumption by an agent or downstream processing. |
| Brand Persona Profile | Data artifact | A configuration of a conversational agent's tone, personality and communication norms aligned with organizational brand voice and audience expectations. |
| Command Palette with Agent Suggestions | Software component | A keyboard-invoked, non-modal overlay that fuzzy-matches typed text to executable commands and surfaces agent-predicted, context-relevant command suggestions. |
| Confidence Indicator | Software component | A presentation component that renders decision confidence as contextualized visual scales (color gradients, gauges, ranges) with comparative context and plain statements of limitations instead of raw scores. |
| Conversational (Chat) Interface | Software component | A chat-style interaction surface presenting user and agent messages as a timestamped vertical timeline, with streaming output, quick-action buttons, typing indicators, and visible conversation history. |
| Data Source Provenance Presenter | Software component | A presentation component that shows which databases, records and sources the agent accessed for a decision, with timestamps, record dates, versions and update currency. |
| End User | Human role | A human principal who submits requests to an agent, reviews its outputs and explanations, and can intervene in or undo its actions. |
| Engagement Estimator | Software component | A runtime component that estimates user engagement from turn-taking and behavioural cues such as short responses, long reply delays and ignored suggestions. |
| Error Presenter | Software component | A presentation component that translates agent failures into plain-language layered messages stating cause, permanence, expected resolution, and separate user and system recovery actions. |
| Exhaustive Audit Explanation View | Software component | A layered explanation view exposing complete decision logs, timestamps, data versions, evaluated policy rules, full feature attributions and demographic decision statistics for audit. |
| Explanation Expansion Controller abstract | Software component | An abstract presentation-control component that decides when collapsed explanation layers are expanded to reveal deeper reasoning, uncertainty or data detail. |
| Explanation Method Selector | Software component | A component that selects which explainability method(s) and visualizations to apply for a decision, based on user mode (novice or expert), investigation goal and decision context. |
| Explanation Presenter | Software component | A presentation component that renders agent reasoning traces, confidence, evidence links, feature attributions, and counterfactuals in layered essential, expanded, and technical views. |
| Explanation Refresher | Software component | A component that regenerates a decision explanation when new evidence, feedback, policy changes or corrected data arrive, time-stamping each version and flagging stale explanations. |
| Improvement Announcer | Software component | A user-communication component that proactively tells users when an AI system update changes agent behaviour, closing the feedback loop and setting expectations. |
| Interaction Style Adapter | Software component | A component that adapts interaction depth, initiative and directness per interaction according to user expertise, task complexity, environmental stress, time pressure and system confidence. |
| Intermediate Explanation View | Software component | A layered explanation view presenting feature weights, confidence, policy thresholds and comparisons with similar recent cases so practitioners can discuss or act on a decision. |
| Intervention Threshold Policy | Data artifact | A calibrated configuration of confidence and deviation thresholds separating actionable interventions requiring immediate response from informational notices and from signals that should not interrupt the user at all. |
| Intervention Timing Optimizer | Software component | A scheduling component that chooses when to deliver a proactive intervention by weighing the user's current engagement and availability, habitual receptivity windows, and external urgency or opportunity windows. |
| Intervention Value Estimator | Software component | A decision component that estimates whether a candidate proactive intervention's expected value and confidence exceed its interruption and attention cost, suppressing interventions that do not. |
| Layered Explanation View abstract | Software component | An abstract presentation tier that renders one agent decision at a disclosure depth matched to a stakeholder persona's expertise, information needs and decision stakes. |
| Notification Volume Governor | Software component | A control component that limits the aggregate volume of proactive notifications a user receives across all agent and system sources, blocking or deferring messages beyond the user's attention budget. |
| On-Demand Explanation Expander | Software component | An expansion controller that reveals deeper explanation layers only when the user activates controls such as 'Show More Details', 'Technical View' toggles or collapsible step indicators. |
| Privacy Portal | Software component | A self-service user interface where data subjects read privacy notices, toggle per-purpose consent and cookie preferences, and submit data-subject rights requests. |
| Proactive Explanation Expander | Software component | An expansion controller that automatically opens detailed explanation layers, or shows guided hints, when confidence is low, outcomes are unexpected, decisions deviate from history, or stakes are high. |
| Proactive Notifier | Software component | A component that informs users after an agent autonomously completes low-risk actions, stating what was done and why, with options to view details or undo. |
| Progress Status Indicator | Software component | A presentation component that shows, in real time, which stages of a multi-step agent reasoning workflow have completed, are in progress, or are pending. |
| RAG Query API Schema | Data artifact | A typed request/response contract for a RAG service that bounds query length and retrieval parameters and structures answers with sources, timing breakdown, token usage and cache status. |
| Response Streamer | Software component | A delivery component that pushes agent output incrementally to the client as it is generated rather than after completion. |
| Result Callback Webhook | Interface | A client-registered callback endpoint to which completed asynchronous agent results are pushed, so clients need not hold connections open or poll. |
| Rich Message Renderer | Software component | A presentation component that renders structured in-chat elements (code blocks, tables, images, charts, interactive widgets) inline within the conversation stream as mini-interfaces. |
| Sensor Input Adapter | Software component | An acquisition component that captures raw input from a modality-specific source (camera, microphone, LiDAR, sensors, APIs, logs, email) at its native rate and format. |
| Server-Sent Events Stream | Interface | A unidirectional server-to-client streaming interface over a standard long-lived HTTP response carrying event-stream formatted token chunks. |
| Speech Synthesizer | Software component | A text-to-speech service that converts an agent's text response into natural-sounding audio with controllable voice, pitch, rate and prosody. |
| Stream Connection Manager | Software component | A session component that tracks open streaming connections and their users, detects client disconnects and idle timeouts, and releases the associated generation resources. |
| Stream Interrupt Handler | Software component | A control component that receives user stop or clarification messages during streaming and cancels or redirects the in-flight generation with updated context. |
| Streaming Speech Recognizer | Software component | A speech recognizer that processes live audio in short chunks and returns provisional partial transcripts immediately, marking segments final once enough context has arrived. |
| Streaming Transport abstract | Interface | An abstract client-facing transport through which incremental agent output is delivered from server to client while it is still being generated. |
| Summary Explanation View | Software component | A layered explanation view presenting a brief plain-language summary of the primary decision factors plus actionable next steps or improvement paths, without technical detail. |
| Timestamped Citation Presenter | Software component | A presentation component that shows retrieved audio-derived results with source and timestamp citations and a play-from-here link to the exact moment in the recording. |
| Trace Narrative Generator | Software component | A component that converts a structured reasoning trace into a natural-language narrative with story progression (problem understanding, hypothesis, evidence, testing, refinement, conclusion) for non-technical users. |
| User Activity History Store | Data store | A store of each user's recent and frequently invoked commands and interactions, used to personalise the ranking of agent suggestions. |
| Voice Persona Profile | Data artifact | A configuration of voice identity, pitch, speaking rate and prosody settings that expresses an agent persona or a user's accessibility preference in synthesized speech. |
| WebSocket Channel | Interface | A persistent full-duplex interface, established by an HTTP upgrade handshake, over which client and server exchange messages at any time during generation. |
Human Oversight (84)
Cross-cutting component through which humans approve, supervise, override, or give feedback to agents.
| Component | Kind | Definition |
|---|---|---|
| Absolute Rating Format | Data artifact | An annotation task format asking annotators to score each response independently on a numeric scale (e.g., 1-10) or with thumbs-up/down signals. |
| Acknowledgment Friction Gate | Software component | An oversight gate that requires the human decision-maker to explicitly acknowledge stated uncertainties before a high-stakes agent recommendation is implemented, without preventing informed acceptance. |
| Action Rollback Service | Software component | A recovery component that reverses completed agent actions on human request, enabling after-the-fact correction of reversible operations. |
| Adaptive Threshold Tuner | Software component | A feedback component that analyses human approval, modification, and rejection rates and adjusts escalation thresholds to observed user or team risk tolerance. |
| Agent Intervention Controller | Software component | A control component that executes human-issued interventions on a running agent, such as pause, resume, termination or threshold adjustment, enforcing the authorization level required for each and logging who acted. |
| Annotation Guideline | Data artifact | A version-controlled specification of the evaluation criteria, dimensions and instructions that tell annotators precisely what to judge when comparing responses. |
| Annotation Task Format abstract | Data artifact | An abstract configuration specifying how human judgments are elicited for each prompt, such as absolute ratings, pairwise comparisons or multi-way rankings of candidate responses. |
| Annotation Task Router | Software component | A workflow component that assigns prompt-response comparison tasks to available annotators according to required domain expertise and redundancy needs. |
| Approval Escalation Protocol | Data artifact | An escalation protocol that pauses agent execution and requests explicit human authorization before the action proceeds. |
| Approval Escalation Scheduler | Software component | A background component that detects pending approval requests reaching their SLA deadline and reassigns them to the next level of the escalation chain. |
| Approval Gateway | Software component | An execution checkpoint that suspends a proposed agent action until a human approves, modifies, rejects, escalates, or requests more information, optionally applying a time-based default. |
| Approval Outcome Router | Software component | A workflow routing component that, on resumption after a human decision, directs execution by that decision: approvals to execution, rejections to alternative-proposal or escalation paths, modifications to remediation steps. |
| Approval Proposal Builder | Software component | An oversight component that packages an agent's proposed action with its reasoning, confidence breakdown, alternatives considered, relevant precedents and context into a structured, human-readable approval request. |
| Approval Queue API | Interface | A service interface exposing endpoints to list an approver's pending requests prioritized by risk and time remaining, retrieve request context, and submit approve/reject decisions with reasons. |
| Approval Request Batcher | Software component | An oversight component that groups similar pending approval requests into consolidated batches so a reviewer can evaluate related items together with bulk actions instead of context-switching between unrelated decisions. |
| Approval Request Store | Data store | A durable store of serialized approval requests capturing pending action, analysed context, agent reasoning, eligible approvers, creation time, status and timeout, persisted independently of agent execution. |
| Approval Review Console | Software component | A structured review interface presenting a pending decision with request facts, agent recommendation, confidence, risk assessment, evidence links, multi-option actions, SLA timer, and reviewer comments. |
| Approval Router | Software component | A workflow component that assigns each approval request to the approver whose authority matches the request's risk tier, considering workload, on-call rotation and domain expertise. |
| Approval SLA Policy | Data artifact | A configuration of maximum acceptable human-approval times per urgency class, together with the actions taken on breach such as parallel routing to backup approvers, pool expansion or incident response. |
| Approver Notifier | Software component | A notification component that alerts assigned approvers of pending or escalated requests through channels they monitor, such as email, chat or mobile push. |
| Autonomy Scope Adjuster | Software component | A feedback component that expands or narrows the agent's autonomous decision scope per case category by weighing demonstrated agreement with human decisions against the consequence of errors. |
| Binary Rating Feedback Prompt | Software component | A feedback collector that asks for a single-click thumbs-up/down or star rating immediately after an agent response. |
| Confidence Gate | Software component | An oversight gate that compares agent decision confidence with tiered thresholds, choosing auto-execution with notification, approval, or detailed review with alternatives. |
| Consensus Decision Protocol | Data artifact | A specification of joint decision norms under which both human and agent may veto proposals and suggest alternatives, and final decisions require genuine consensus. |
| Content Flagger | Software component | A guardrail that marks suspicious outputs for later human review without blocking their delivery, creating an audit trail for borderline cases. |
| Content Moderator | Human role | A human reviewer who assesses ambiguous or reported content against detailed content policies and makes final approve or block decisions with justification. |
| Data Quality Review Queue | Data store | A holding store of documents or records flagged by automated checks (warnings, near-threshold duplicates, medium-confidence PII, stale content) awaiting human review before acceptance or remediation. |
| Data Quality Reviewer | Human role | A human role that resolves ambiguous entity mappings and reconciliation cases requiring judgement. |
| Decision Appeal Service | Software component | A recourse component through which individuals affected by an automated decision challenge it, submitting the case for human review that can overturn the decision. |
| Decision Override Control | Software component | An in-workflow control, placed beside the decision summary, through which a reviewer overrides an agent decision or requests human review and records a categorized reason. |
| Decision Stakeholder | Human role | A human principal (e.g., patient and physician, vehicle owner, fleet operator, regulator, ethicist) who chooses a preferred trade-off and supplies preference and risk parameters. |
| Deferred Feedback Survey | Software component | A feedback collector that requests feedback after the interaction, such as emailed requests hours later or periodic satisfaction surveys. |
| Domain Expert Annotator | Human role | A human domain expert who demonstrates optimal task behaviour step by step, supplies seed examples and validates samples of machine-generated trajectories and preference annotations. |
| Domain Rule Expert | Human role | A human domain expert accountable for the content of the rule base, encoding expertise as rules and deciding whether learned rule changes enter production. |
| Emergency Escalation Protocol | Data artifact | An escalation protocol that urgently engages humans when an agent detects a high-severity situation such as a security incident or a failure affecting critical operations. |
| Emergency Stop Controller | Software component | A shutdown mechanism, exposed as physical buttons and remote shutdown capability, that lets an operator immediately halt an autonomous system without navigating complex interfaces. |
| Escalation Agent | Software component | A decision agent that identifies cases requiring human review using confidence, sensitive-content, authority-threshold and customer-history criteria, and publishes escalation events. |
| Escalation Handler | Software component | A workflow node that hands an inquiry to human staff, creating a case number, setting an expected response time, notifying on-call staff, and marking the case escalated in state. |
| Escalation Handoff Package | Data artifact | A context-transfer bundle passed to a human agent on escalation, containing the full conversation transcript plus structured metadata on escalation reason, detected intents and attempted solutions. |
| Escalation Protocol abstract | Data artifact | An abstract specification of what the system does when an agent approaches or crosses a decision boundary, naming notified roles, decision owner, response-time objective and fallback behaviour. |
| Escalation Threshold Policy | Data artifact | A declarative set of confidence and risk thresholds, scoring weights, and time-based default rules that encodes organisational risk tolerance for human escalation. |
| Exception Gate | Software component | An oversight gate that flags proposed decisions matching defined exception patterns, such as unusual amounts, high-risk users, rare scenarios, conflicting signals or policy exceptions, and escalates them to a specialist reviewer. |
| Execution Monitor Console | Software component | A real-time oversight interface showing agent workflow progress, aggregate metrics, and upcoming steps, with prominent pause, stop, emergency-stop, and override-next-action controls. |
| Failure-Triggered Feedback Prompt | Software component | A feedback collector that proactively solicits a reason when behavioural signals such as abandonment or rapid escalation indicate an unhelpful response. |
| Feedback Collector abstract | Software component | A component that captures per-response user ratings and structured reasons, such as thumbs up/down with follow-up questions, for immediate conversation repair and longer-term improvement. |
| General Preference Annotator | Human role | A preference annotator without specialized domain expertise who compares responses on general criteria such as helpfulness, harmlessness, honesty and tone. |
| Handoff Context Packager | Software component | A component that assembles a handoff context packet from workflow checkpoints and decision records whenever initiative transfers between agent and human. |
| Human Approver | Human role | A human reviewer who evaluates agent-proposed consequential actions and approves, modifies, rejects, or escalates them to higher authority before execution. |
| Human Evaluator | Human role | A domain expert who scores agent outputs on subjective criteria using structured rubrics, after calibration training and with full task context. |
| Human Specialist | Human role | A human expert who takes over and resolves cases escalated by agents. |
| Human Supervisor | Human role | A human who monitors autonomous agent execution in real time and can pause, stop, or override it, including during early-deployment calibration. |
| Human Validation Checkpoint abstract | Software component | An abstract oversight checkpoint at which humans validate agent actions, either before execution (approval-before) or after execution on completed actions (approval-after). |
| Incident Commander | Human role | A human role paged on-call for critical incidents who holds decision-making authority to direct containment, escalation and communication until resolution. |
| Independent Judgment Capture | Software component | A review-workflow component that requires a human reviewer to record their own decision before the AI recommendation and its explanation are revealed. |
| Intervention Authority Policy | Data artifact | A configuration defining which human roles may perform which interventions on running agents and what authorization each intervention requires, according to its impact. |
| Knowledge Content Reviewer | Human role | A subject matter expert who verifies knowledge base content flagged as potentially stale or inconsistent before users encounter it. |
| Moderation Appeal Tracker | Software component | A component that records user appeals of automated moderation decisions and their outcomes and analyzes appeal patterns for systematic errors. |
| Moderation Review Console | Software component | A review interface presenting a queued content item with the original query, proposed response, multi-classifier scores and highlighted concerning passages, and capturing the moderator's decision and justification. |
| Moderation Review Queue | Data store | A holding store of borderline, flagged or user-reported content items awaiting human moderator decision, with their context and classifier scores. |
| Moderation Triage Router | Software component | A routing component that uses filter confidence scores and conflicting signals to deliver conclusively safe content, block conclusively harmful content, and queue borderline cases for human review. |
| Moderator Exposure Policy | Data artifact | A workforce policy that limits moderators' continuous exposure to harmful content through rotation and mandates mental-health support. |
| Multi-Way Comparison Format | Data artifact | An annotation task format presenting three or more candidate responses simultaneously for ranking or selection. |
| Notification Escalation Protocol | Data artifact | An escalation protocol that informs designated stakeholders that an agent encountered a boundary and how the system responded, without pausing execution. |
| Override Feedback Record | Data artifact | A structured record of a human override of an agent decision capturing business context, the reviewer's reasoning for disagreeing, before-and-after outputs, and the reviewer's confidence in their own judgment. |
| Override Pattern Analyzer | Software component | An analysis component that aggregates human overrides of agent decisions by case category to surface systematic agent misclassification patterns for recalibration. |
| Override Rationale Log | Data store | A store of human-stated reasons accompanying overrides, approvals despite flags, and initiative takeovers, capturing factors the agent's training data did not emphasize. |
| Oversight Gate abstract | Software component | An abstract decision gate that evaluates each proposed agent action and selects the human-control pattern it requires: automatic execution, notification, approval, or monitoring. |
| Oversight Intensity Policy | Data artifact | A configuration that maps each agent's risk profile to its monitoring intensity, required intervention latency and review cadence, e.g., intensive monitoring for high-stakes agents and anomaly-only alerts for low-stakes agents. |
| Oversight Performance Monitor | Software component | A monitoring component that tracks the health of the human review process: approval latency against SLA, queue depth, escalation rate and accuracy, human decision distribution and reviewer fatigue, alerting on threshold breaches. |
| Pairwise Comparison Format | Data artifact | An annotation task format presenting two candidate responses to one prompt and asking which better satisfies the stated criteria. |
| Platform Operator | Human role | An on-call engineer who responds to alerts, investigates scaling anomalies and intervenes manually in caching and traffic distribution. |
| Post-Action Review Sampler | Software component | An oversight component that lets agent actions execute immediately and routes samples of completed actions to human reviewers, catching systematic errors through periodic audits. |
| Pre-Approved Category Policy | Data artifact | A human-authored configuration pre-authorizing classes of agent decisions that match defined criteria, so matching future requests auto-approve and only novel edge cases surface for explicit review. |
| Preference Annotation Console | Software component | A structured comparison interface that presents annotators with randomized pairs of candidate responses and captures criterion-specific preference judgments. |
| Preference Annotator abstract | Human role | A human evaluator who compares pairs of alternative agent responses and indicates which better satisfies specified criteria such as helpfulness, tone, accuracy or policy compliance. |
| Prioritized Review Queue | Data store | A holding store of agent-flagged cases, such as pre-screened medical images or compliance alerts, ordered by likelihood of requiring intervention, from which accountable professionals review and sign off. |
| Release Approver | Human role | A senior engineer or reviewer who examines evaluation evidence for an agent change and decides trade-off cases, gate overrides and threshold changes with documented justification. |
| Responsibility Matrix | Data artifact | An explicit allocation of subtasks and case categories between agent and humans, including flag rules that force human review and protocols for role transitions and scope recalibration. |
| Reviewer Fatigue Monitor | Software component | A monitoring component that tracks human reviewer session duration and rising override rates on straightforward cases, suggesting breaks or role transitions before fatigue-induced errors occur. |
| Risk Gate | Software component | An oversight gate that scores proposed actions on impact factors such as financial amount, data deletion, external API calls, and customer reach, escalating by cumulative risk score. |
| Senior Annotation Reviewer | Human role | An experienced annotator who checks samples of each worker's preference judgments in multi-stage review and leads calibration sessions on disagreements. |
| Service Owner | Human role | An accountable owner of a production agent service who receives incidents that on-call engineers and team leads have not resolved. |
| Structured Correction Feedback Form | Software component | A feedback collector that lets users specify exactly what was wrong with a response and provide a correction. |
| Trace Annotation Console | Software component | A review interface that displays reasoning traces and lets reviewers mark steps correct, incorrect or uncertain, comment on why, and suggest alternative reasoning. |