Patterns

UserQuery -> MCPToolPayload

Expose catalog schema registry queries as callable tools via the Model Context Protocol.

UserFeedback + BasePrompt -> AugmentedPrompt

Augment prompt payloads dynamically by aggregating preceding interaction feedback into the agent's context window.

WebpageDOM -> AccessibilityTree<ReferenceID>

Extract a webpage's accessibility tree, mapping interactive elements to short reference IDs for AI agent consumption.

MCPSession -> List<OpenAITool>

Load tool schemas from an active Model Context Protocol (MCP) session and format them as standard OpenAI tool definitions.

ModelPath, HardwareConfig -> InferenceSession

Initialize an inference session configured with platform-specific execution providers (like Hexagon HTP or QNN) to target optimized execution units.

UserQuery -> ContextualResponse

Retrieve relevant source text snippets using vector search and inject them into an LLM context window to answer user queries with reference citations.

TopicStream -> TelemetryStateDocument

Subscribe to high-frequency robotics telemetry topics over a bridge and transform buffered updates into state representations accessible to LLM contexts.

TemplateIdentifier + TemplateVariables -> CompiledPrompt

Retrieve a version-locked template from a registry, parse its parameters, and interpolate runtime variables.

Query -> RetrievalResults

Classify incoming queries to dynamically route them to the most effective search strategy (e.g. vector search, graph traversal, or hybrid).

ContextRequest -> ContextPayload

Query and aggregate real-time workspace data from multiple external context providers to populate an LLM context window.

SourceCodeFiles -> AgentSkills

Parse raw files, inline functions, and external class libraries to dynamically discover, generate, and register functional tool schemas for an agent.

YamlConfig -> Agent

Instantiate a stateful AI agent, including its identity and system instructions, from a declarative YAML configuration file.

Tuple<Query, EntityRelationGraph> -> LocalizedQueryContext

Retrieve query-relevant entities and their immediate neighborhood of relationships, text chunks, and community summaries to build an augmented LLM context.

(DatasetPointer, TemplateYAML) -> ExecutableSuite

Stitch static datasets with template YAML configurations to instantiate concrete test cases without writing custom evaluation scripts.

(PointCloud, Pose, ProbabilityGrid) -> Pose

Refine a sensor pose relative to a grid map by solving a non-linear least squares problem using bicubic interpolation of grid cell probabilities.

(PointCloud, Pose, ProbabilityGrid) -> Pose

Search a discrete window of translations and rotations around an initial pose estimate to find the candidate pose that maximizes the alignment of a point cloud with a probability grid.

KeyframeImage -> LoopClosureConstraint

Query a bag-of-words database with keyframe descriptors to detect revisited places and generate drift-correcting constraints.

Tuple<ModelTopology, ModelWeights> -> InferenceEngine

Instantiate an in-memory inference engine by reading topological architecture metadata separately from compiled binary layer weights.

ModelIdentifierString -> UnifiedChatModel

Initialize a standardized chat model client from a single string containing a provider prefix and model name.