Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai
SpanCumulativeTokenCountDetails.tsx1.28 kB
import { useMemo } from "react"; import { graphql, useLazyLoadQuery } from "react-relay"; import { SpanCumulativeTokenCountDetailsQuery } from "./__generated__/SpanCumulativeTokenCountDetailsQuery.graphql"; import { TokenCountDetails } from "./TokenCountDetails"; export function SpanCumulativeTokenCountDetails(props: { spanNodeId: string }) { const data = useLazyLoadQuery<SpanCumulativeTokenCountDetailsQuery>( graphql` query SpanCumulativeTokenCountDetailsQuery($nodeId: ID!) { node(id: $nodeId) { __typename ... on Span { cumulativeTokenCountTotal cumulativeTokenCountPrompt cumulativeTokenCountCompletion } } } `, { nodeId: props.spanNodeId } ); const tokenData = useMemo(() => { if (data.node.__typename === "Span") { const prompt = data.node.cumulativeTokenCountPrompt ?? 0; const completion = data.node.cumulativeTokenCountCompletion ?? 0; const total = data.node.cumulativeTokenCountTotal ?? 0; return { total, prompt, completion, }; } return { total: null, prompt: null, completion: null, }; }, [data.node]); return <TokenCountDetails {...tokenData} />; }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Arize-ai/phoenix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server