@mastra/core/dist/tracing-Bm0k4FBA.js

//#region src/observability/types/tracing.ts
/**
* Tracing interfaces
*
* Span types, attributes, span lifecycle, and tracing-specific types.
* For top-level observability infrastructure (instances, exporters, bridges, config),
* see observability.ts.
*/
/**
* AI-specific span types with their associated metadata
*/
let SpanType = /* @__PURE__ */ function(SpanType) {
	/** Agent run - root span for agent processes */
	SpanType["AGENT_RUN"] = "agent_run";
	/** Scorer execution */
	SpanType["SCORER_RUN"] = "scorer_run";
	/** Individual scorer pipeline step */
	SpanType["SCORER_STEP"] = "scorer_step";
	/** Generic span for custom operations */
	SpanType["GENERIC"] = "generic";
	/** Model generation with model calls, token usage, prompts, completions */
	SpanType["MODEL_GENERATION"] = "model_generation";
	/** Single model execution step within a generation (one API call) */
	SpanType["MODEL_STEP"] = "model_step";
	/** Model provider call within a step - wraps only the inference, excluding processors and tool executions */
	SpanType["MODEL_INFERENCE"] = "model_inference";
	/** Individual model streaming chunk/event */
	SpanType["MODEL_CHUNK"] = "model_chunk";
	/** MCP (Model Context Protocol) tool execution */
	SpanType["MCP_TOOL_CALL"] = "mcp_tool_call";
	/** Input or Output Processor execution */
	SpanType["PROCESSOR_RUN"] = "processor_run";
	/** Function/tool execution with inputs, outputs, errors */
	SpanType["TOOL_CALL"] = "tool_call";
	/**
	* Client-side tool execution marker. The server creates this span
	* when the model emits a client tool call, injects its W3C carrier
	* into the outgoing tool-call chunk, then ends the span once tool
	* args are available. Child spans/logs from inside the client tool's
	* execute function flow back as OTLP/JSON via the ClientObservabilityProxy
	* interface in @mastra/observability and parent themselves under this
	* span via parentSpanId reference.
	*/
	SpanType["CLIENT_TOOL_CALL"] = "client_tool_call";
	/**
	* Provider-executed (server-side) tool span. Reconstructed from
	* tool-call and tool-result stream chunks for tools the model
	* provider executes (e.g. Anthropic code execution, server-side
	* web search). Created on the tool-result chunk under the model
	* step that delivered it, with the start time backdated to the
	* tool-call chunk.
	*/
	SpanType["PROVIDER_TOOL_CALL"] = "provider_tool_call";
	/** Workflow run - root span for workflow processes */
	SpanType["WORKFLOW_RUN"] = "workflow_run";
	/** Workflow step execution with step status, data flow */
	SpanType["WORKFLOW_STEP"] = "workflow_step";
	/** Workflow conditional execution with condition evaluation */
	SpanType["WORKFLOW_CONDITIONAL"] = "workflow_conditional";
	/** Individual condition evaluation within conditional */
	SpanType["WORKFLOW_CONDITIONAL_EVAL"] = "workflow_conditional_eval";
	/** Workflow parallel execution */
	SpanType["WORKFLOW_PARALLEL"] = "workflow_parallel";
	/** Workflow loop execution */
	SpanType["WORKFLOW_LOOP"] = "workflow_loop";
	/** Workflow sleep operation */
	SpanType["WORKFLOW_SLEEP"] = "workflow_sleep";
	/** Workflow wait for event operation */
	SpanType["WORKFLOW_WAIT_EVENT"] = "workflow_wait_event";
	/** Memory operation (recall, save, delete, update working memory) */
	SpanType["MEMORY_OPERATION"] = "memory_operation";
	/** Workspace action (filesystem, sandbox, search, skill, mount operations) */
	SpanType["WORKSPACE_ACTION"] = "workspace_action";
	/** RAG ingestion - root span for an ingestion pipeline run (load → chunk → extract → embed → upsert) */
	SpanType["RAG_INGESTION"] = "rag_ingestion";
	/** Embedding call (used by both RAG ingestion and query) */
	SpanType["RAG_EMBEDDING"] = "rag_embedding";
	/** Vector store I/O (query / upsert / delete / fetch) */
	SpanType["RAG_VECTOR_OPERATION"] = "rag_vector_operation";
	/** RAG-specific actions: chunk, extract_metadata, rerank */
	SpanType["RAG_ACTION"] = "rag_action";
	/** Graph operations (build / traverse) - not RAG-specific */
	SpanType["GRAPH_ACTION"] = "graph_action";
	/** Inline data mapping between pipeline stages (e.g. a tool's `toModelOutput` transform) */
	SpanType["MAPPING"] = "mapping";
	return SpanType;
}({});
/**
* Bitwise options to set different types of spans as internal in
* a workflow or agent execution.
*/
let InternalSpans = /* @__PURE__ */ function(InternalSpans) {
	/** No spans are marked internal */
	InternalSpans[InternalSpans["NONE"] = 0] = "NONE";
	/** Workflow spans are marked internal */
	InternalSpans[InternalSpans["WORKFLOW"] = 1] = "WORKFLOW";
	/** Agent spans are marked internal */
	InternalSpans[InternalSpans["AGENT"] = 2] = "AGENT";
	/** Tool spans are marked internal */
	InternalSpans[InternalSpans["TOOL"] = 4] = "TOOL";
	/** Model spans are marked internal */
	InternalSpans[InternalSpans["MODEL"] = 8] = "MODEL";
	/** All spans are marked internal */
	InternalSpans[InternalSpans["ALL"] = 15] = "ALL";
	return InternalSpans;
}({});
/**
* Tracing event types
*/
let TracingEventType = /* @__PURE__ */ function(TracingEventType) {
	TracingEventType["SPAN_STARTED"] = "span_started";
	TracingEventType["SPAN_UPDATED"] = "span_updated";
	TracingEventType["SPAN_ENDED"] = "span_ended";
	return TracingEventType;
}({});
//#endregion
export { SpanType as n, TracingEventType as r, InternalSpans as t };

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