Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai
ExperimentTokenCountDetails.tsx1.39 kB
import { useMemo } from "react"; import { graphql, useLazyLoadQuery } from "react-relay"; import { TokenCountDetails } from "../trace/TokenCountDetails"; import { ExperimentTokenCountDetailsQuery } from "./__generated__/ExperimentTokenCountDetailsQuery.graphql"; export function ExperimentTokenCountDetails(props: { experimentId: string }) { const data = useLazyLoadQuery<ExperimentTokenCountDetailsQuery>( graphql` query ExperimentTokenCountDetailsQuery($nodeId: ID!) { node(id: $nodeId) { __typename ... on Experiment { costSummary { total { tokens } prompt { tokens } completion { tokens } } } } } `, { nodeId: props.experimentId } ); const tokenData = useMemo(() => { if (data.node.__typename === "Experiment") { const prompt = data.node.costSummary?.prompt?.tokens ?? 0; const completion = data.node.costSummary?.completion?.tokens ?? 0; const total = data.node.costSummary?.total?.tokens ?? 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