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@arizeai/phoenix-client

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A client for the Phoenix API

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"use strict"; var __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.vercelAIChatPartSchema = exports.vercelAIChatPartToolResultSchema = exports.vercelAIChatPartToolCallSchema = exports.vercelAIChatPartImageSchema = exports.vercelAIChatPartTextSchema = void 0; const jsonLiteralSchema_1 = require("../../jsonLiteralSchema"); const zod_1 = __importDefault(require("zod")); /* * * Vercel AI SDK Message Part Schemas * */ exports.vercelAIChatPartTextSchema = zod_1.default.object({ type: zod_1.default.literal("text"), text: zod_1.default.string(), }); exports.vercelAIChatPartImageSchema = zod_1.default.object({ type: zod_1.default.literal("image"), image: zod_1.default.string(), // ai supports more, but we will just support base64 for now mimeType: zod_1.default.string().optional(), }); exports.vercelAIChatPartToolCallSchema = zod_1.default.object({ type: zod_1.default.literal("tool-call"), toolCallId: zod_1.default.string(), toolName: zod_1.default.string(), input: jsonLiteralSchema_1.jsonLiteralSchema, // json serializable parameters }); exports.vercelAIChatPartToolResultSchema = zod_1.default.object({ type: zod_1.default.literal("tool-result"), toolCallId: zod_1.default.string(), toolName: zod_1.default.string(), output: zod_1.default.object({ type: zod_1.default.literal("text"), // TODO: extend to support other output types value: zod_1.default.string(), }), }); exports.vercelAIChatPartSchema = zod_1.default.discriminatedUnion("type", [ exports.vercelAIChatPartTextSchema, exports.vercelAIChatPartImageSchema, exports.vercelAIChatPartToolCallSchema, exports.vercelAIChatPartToolResultSchema, ]); //# sourceMappingURL=messagePartSchemas.js.map