Marc Mintel
5397309103
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44 lines
1.9 KiB
Plaintext
44 lines
1.9 KiB
Plaintext
import type { TraceContext } from '../../types-hoist/context';
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import type { Span, SpanAttributes, SpanJSON } from '../../types-hoist/span';
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import type { TokenSummary } from './types';
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/**
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* Accumulates token data from a span to its parent in the token accumulator map.
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* This function extracts token usage from the current span and adds it to the
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* accumulated totals for its parent span.
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*/
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export declare function accumulateTokensForParent(span: SpanJSON, tokenAccumulator: Map<string, TokenSummary>): void;
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/**
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* Applies accumulated token data to the `gen_ai.invoke_agent` span.
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* Only immediate children of the `gen_ai.invoke_agent` span are considered,
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* since aggregation will automatically occur for each parent span.
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*/
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export declare function applyAccumulatedTokens(spanOrTrace: SpanJSON | TraceContext, tokenAccumulator: Map<string, TokenSummary>): void;
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/**
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* Get the span associated with a tool call ID
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*/
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export declare function _INTERNAL_getSpanForToolCallId(toolCallId: string): Span | undefined;
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/**
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* Clean up the span mapping for a tool call ID
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*/
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export declare function _INTERNAL_cleanupToolCallSpan(toolCallId: string): void;
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/**
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* Convert an array of tool strings to a JSON string
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*/
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export declare function convertAvailableToolsToJsonString(tools: unknown[]): string;
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/**
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* Normalize the user input (stringified object with prompt, system, messages) to messages array
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*/
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export declare function convertUserInputToMessagesFormat(userInput: string): {
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role: string;
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content: string;
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}[];
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/**
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* Generate a request.messages JSON array from the prompt field in the
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* invoke_agent op
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*/
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export declare function requestMessagesFromPrompt(span: Span, attributes: SpanAttributes): void;
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/**
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* Maps a Vercel AI span name to the corresponding Sentry op.
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*/
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export declare function getSpanOpFromName(name: string): string | undefined;
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//# sourceMappingURL=utils.d.ts.map |