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by Arize-ai
PlaygroundDatasetExamplesTableSubscription.graphql.ts12.1 kB
/** * @generated SignedSource<<aad8107610b95e666ab343219db4e09b>> * @lightSyntaxTransform * @nogrep */ /* tslint:disable */ /* eslint-disable */ // @ts-nocheck import { ConcreteRequest } from 'relay-runtime'; export type CanonicalParameterName = "ANTHROPIC_EXTENDED_THINKING" | "MAX_COMPLETION_TOKENS" | "RANDOM_SEED" | "REASONING_EFFORT" | "RESPONSE_FORMAT" | "STOP_SEQUENCES" | "TEMPERATURE" | "TOOL_CHOICE" | "TOP_P"; export type ChatCompletionMessageRole = "AI" | "SYSTEM" | "TOOL" | "USER"; export type GenerativeProviderKey = "ANTHROPIC" | "AWS" | "AZURE_OPENAI" | "DEEPSEEK" | "GOOGLE" | "OLLAMA" | "OPENAI" | "XAI"; export type PromptTemplateFormat = "F_STRING" | "MUSTACHE" | "NONE"; export type ChatCompletionOverDatasetInput = { credentials?: ReadonlyArray<GenerativeCredentialInput> | null; datasetId: string; datasetVersionId?: string | null; experimentDescription?: string | null; experimentMetadata?: any | null; experimentName?: string | null; invocationParameters?: ReadonlyArray<InvocationParameterInput>; messages: ReadonlyArray<ChatCompletionMessageInput>; model: GenerativeModelInput; promptName?: string | null; repetitions: number; splitIds?: ReadonlyArray<string> | null; templateFormat?: PromptTemplateFormat; tools?: ReadonlyArray<any> | null; }; export type ChatCompletionMessageInput = { content?: any; role: ChatCompletionMessageRole; toolCallId?: string | null; toolCalls?: ReadonlyArray<any> | null; }; export type GenerativeModelInput = { apiVersion?: string | null; baseUrl?: string | null; customHeaders?: any | null; endpoint?: string | null; name: string; providerKey: GenerativeProviderKey; region?: string | null; }; export type InvocationParameterInput = { canonicalName?: CanonicalParameterName | null; invocationName: string; valueBool?: boolean | null; valueBoolean?: boolean | null; valueFloat?: number | null; valueInt?: number | null; valueJson?: any | null; valueString?: string | null; valueStringList?: ReadonlyArray<string> | null; }; export type GenerativeCredentialInput = { envVarName: string; value: string; }; export type PlaygroundDatasetExamplesTableSubscription$variables = { input: ChatCompletionOverDatasetInput; }; export type PlaygroundDatasetExamplesTableSubscription$data = { readonly chatCompletionOverDataset: { readonly __typename: "ChatCompletionSubscriptionError"; readonly datasetExampleId: string | null; readonly message: string; readonly repetitionNumber: number | null; } | { readonly __typename: "ChatCompletionSubscriptionExperiment"; readonly experiment: { readonly id: string; }; } | { readonly __typename: "ChatCompletionSubscriptionResult"; readonly datasetExampleId: string | null; readonly experimentRun: { readonly id: string; } | null; readonly repetitionNumber: number | null; readonly span: { readonly context: { readonly traceId: string; }; readonly costSummary: { readonly total: { readonly cost: number | null; }; } | null; readonly id: string; readonly latencyMs: number | null; readonly project: { readonly id: string; }; readonly tokenCountTotal: number | null; } | null; } | { readonly __typename: "TextChunk"; readonly content: string; readonly datasetExampleId: string | null; readonly repetitionNumber: number | null; } | { readonly __typename: "ToolCallChunk"; readonly datasetExampleId: string | null; readonly function: { readonly arguments: string; readonly name: string; }; readonly id: string; readonly repetitionNumber: number | null; } | { // This will never be '%other', but we need some // value in case none of the concrete values match. readonly __typename: "%other"; }; }; export type PlaygroundDatasetExamplesTableSubscription = { response: PlaygroundDatasetExamplesTableSubscription$data; variables: PlaygroundDatasetExamplesTableSubscription$variables; }; const node: ConcreteRequest = (function(){ var v0 = [ { "defaultValue": null, "kind": "LocalArgument", "name": "input" } ], v1 = { "alias": null, "args": null, "kind": "ScalarField", "name": "datasetExampleId", "storageKey": null }, v2 = { "alias": null, "args": null, "kind": "ScalarField", "name": "repetitionNumber", "storageKey": null }, v3 = { "alias": null, "args": null, "kind": "ScalarField", "name": "id", "storageKey": null }, v4 = [ (v3/*: any*/) ], v5 = [ { "alias": null, "args": [ { "kind": "Variable", "name": "input", "variableName": "input" } ], "concreteType": null, "kind": "LinkedField", "name": "chatCompletionOverDataset", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "__typename", "storageKey": null }, { "kind": "InlineFragment", "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "content", "storageKey": null }, (v1/*: any*/), (v2/*: any*/) ], "type": "TextChunk", "abstractKey": null }, { "kind": "InlineFragment", "selections": [ (v3/*: any*/), (v1/*: any*/), (v2/*: any*/), { "alias": null, "args": null, "concreteType": "FunctionCallChunk", "kind": "LinkedField", "name": "function", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "name", "storageKey": null }, { "alias": null, "args": null, "kind": "ScalarField", "name": "arguments", "storageKey": null } ], "storageKey": null } ], "type": "ToolCallChunk", "abstractKey": null }, { "kind": "InlineFragment", "selections": [ { "alias": null, "args": null, "concreteType": "Experiment", "kind": "LinkedField", "name": "experiment", "plural": false, "selections": (v4/*: any*/), "storageKey": null } ], "type": "ChatCompletionSubscriptionExperiment", "abstractKey": null }, { "kind": "InlineFragment", "selections": [ (v1/*: any*/), (v2/*: any*/), { "alias": null, "args": null, "concreteType": "Span", "kind": "LinkedField", "name": "span", "plural": false, "selections": [ (v3/*: any*/), { "alias": null, "args": null, "kind": "ScalarField", "name": "tokenCountTotal", "storageKey": null }, { "alias": null, "args": null, "concreteType": "SpanCostSummary", "kind": "LinkedField", "name": "costSummary", "plural": false, "selections": [ { "alias": null, "args": null, "concreteType": "CostBreakdown", "kind": "LinkedField", "name": "total", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "cost", "storageKey": null } ], "storageKey": null } ], "storageKey": null }, { "alias": null, "args": null, "kind": "ScalarField", "name": "latencyMs", "storageKey": null }, { "alias": null, "args": null, "concreteType": "Project", "kind": "LinkedField", "name": "project", "plural": false, "selections": (v4/*: any*/), "storageKey": null }, { "alias": null, "args": null, "concreteType": "SpanContext", "kind": "LinkedField", "name": "context", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "traceId", "storageKey": null } ], "storageKey": null } ], "storageKey": null }, { "alias": null, "args": null, "concreteType": "ExperimentRun", "kind": "LinkedField", "name": "experimentRun", "plural": false, "selections": (v4/*: any*/), "storageKey": null } ], "type": "ChatCompletionSubscriptionResult", "abstractKey": null }, { "kind": "InlineFragment", "selections": [ (v1/*: any*/), (v2/*: any*/), { "alias": null, "args": null, "kind": "ScalarField", "name": "message", "storageKey": null } ], "type": "ChatCompletionSubscriptionError", "abstractKey": null } ], "storageKey": null } ]; return { "fragment": { "argumentDefinitions": (v0/*: any*/), "kind": "Fragment", "metadata": null, "name": "PlaygroundDatasetExamplesTableSubscription", "selections": (v5/*: any*/), "type": "Subscription", "abstractKey": null }, "kind": "Request", "operation": { "argumentDefinitions": (v0/*: any*/), "kind": "Operation", "name": "PlaygroundDatasetExamplesTableSubscription", "selections": (v5/*: any*/) }, "params": { "cacheID": "1697126f70ffbd0fe2ee6a7fff62312a", "id": null, "metadata": {}, "name": "PlaygroundDatasetExamplesTableSubscription", "operationKind": "subscription", "text": "subscription PlaygroundDatasetExamplesTableSubscription(\n $input: ChatCompletionOverDatasetInput!\n) {\n chatCompletionOverDataset(input: $input) {\n __typename\n ... on TextChunk {\n content\n datasetExampleId\n repetitionNumber\n }\n ... on ToolCallChunk {\n id\n datasetExampleId\n repetitionNumber\n function {\n name\n arguments\n }\n }\n ... on ChatCompletionSubscriptionExperiment {\n experiment {\n id\n }\n }\n ... on ChatCompletionSubscriptionResult {\n datasetExampleId\n repetitionNumber\n span {\n id\n tokenCountTotal\n costSummary {\n total {\n cost\n }\n }\n latencyMs\n project {\n id\n }\n context {\n traceId\n }\n }\n experimentRun {\n id\n }\n }\n ... on ChatCompletionSubscriptionError {\n datasetExampleId\n repetitionNumber\n message\n }\n }\n}\n" } }; })(); (node as any).hash = "6d877069d51002d0d4d21aa6d1d134fb"; export default node;

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