new LlmSpan(data: LlmSpanOptions): LlmSpan;

createdAt: Date;

optional datasetInput: string;

optional datasetMetadata: Record<string, string> = {};

optional datasetOutput: string;

optional externalId: string;

optional finishReason: string;

input: object[];

content: string;

role:
  | "function"
  | "agent"
  | "tool"
  | "user"
  | "assistant"
  | "developer"
  | "system";

optional tool_call_id: null | string;

optional tool_calls: null | object[];

metrics: LlmMetrics;

optional model: string;

name: string = "";

output: object;

content: string;

role:
  | "function"
  | "agent"
  | "tool"
  | "user"
  | "assistant"
  | "developer"
  | "system";

optional tool_call_id: null | string;

optional tool_calls: null | object[];

optional redactedInput: object[];

content: string;

role:
  | "function"
  | "agent"
  | "tool"
  | "user"
  | "assistant"
  | "developer"
  | "system";

optional tool_call_id: null | string;

optional tool_calls: null | object[];

optional redactedOutput: object;

content: string;

role:
  | "function"
  | "agent"
  | "tool"
  | "user"
  | "assistant"
  | "developer"
  | "system";

optional tool_call_id: null | string;

optional tool_calls: null | object[];

optional statusCode: number;

optional stepNumber: number;

optional tags: string[];

optional temperature: number;

optional tools: Record<string, any>[];

type: "agent" | "llm" | "retriever" | "tool" | "workflow" | "trace" | "session" = StepType.llm;

userMetadata: Record<string, string> = {};

toJSON(): Record<string, any>;

validateInputOutputSerializable<T>(val: T): T;