Skip to main content
Glama

get_dataset_item

Retrieve detailed information about a specific dataset item by its ID to analyze Langfuse analytics, cost metrics, and usage data.

Instructions

Get detailed information about a specific dataset item.

Input Schema

NameRequiredDescriptionDefault
itemIdYesID of the dataset item to retrieve

Input Schema (JSON Schema)

{ "properties": { "itemId": { "description": "ID of the dataset item to retrieve", "type": "string" } }, "required": [ "itemId" ], "type": "object" }

Implementation Reference

  • The primary handler function for the 'get_dataset_item' tool. It takes a Langfuse client and arguments, fetches the dataset item by ID, and returns formatted content or error.
    export async function getDatasetItem( client: LangfuseAnalyticsClient, args: GetDatasetItemArgs ) { try { const data = await client.getDatasetItem(args.itemId); return { content: [{ type: 'text' as const, text: JSON.stringify(data, null, 2) }], }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text' as const, text: `Error: ${errorMessage}` }], isError: true, }; } }
  • Zod schema for validating input arguments to the get_dataset_item tool, requiring a non-empty itemId string.
    export const getDatasetItemSchema = z.object({ itemId: z.string().min(1).describe('ID of the dataset item to retrieve'), });
  • src/index.ts:1118-1121 (registration)
    Switch case in the CallToolRequestSchema handler that parses arguments using the schema and dispatches to the getDatasetItem handler function.
    case 'get_dataset_item': { const args = getDatasetItemSchema.parse(request.params.arguments); return await getDatasetItem(this.client, args); }
  • src/index.ts:744-757 (registration)
    Tool registration entry in the listTools handler, defining name, description, and input schema for get_dataset_item.
    { name: 'get_dataset_item', description: 'Get detailed information about a specific dataset item.', inputSchema: { type: 'object', properties: { itemId: { type: 'string', description: 'ID of the dataset item to retrieve', }, }, required: ['itemId'], }, },
  • LangfuseAnalyticsClient method that makes the actual API call to retrieve a dataset item by ID, used by the tool handler.
    async getDatasetItem(itemId: string): Promise<any> { const authHeader = 'Basic ' + Buffer.from( `${this.config.publicKey}:${this.config.secretKey}` ).toString('base64'); const response = await fetch(`${this.config.baseUrl}/api/public/dataset-items/${encodeURIComponent(itemId)}`, { headers: { 'Authorization': authHeader, }, }); if (!response.ok) { await this.handleApiError(response, 'Get Dataset Item'); } return await response.json(); }

Latest Blog Posts

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/therealsachin/langfuse-mcp-server'

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