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mcp-server-circleci

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tool.ts1.99 kB
import { recommendPromptTemplateTestsInputSchema } from './inputSchema.js'; import { PromptWorkbenchToolName, PromptOrigin } from '../shared/constants.js'; import { modelKey } from '../createPromptTemplate/handler.js'; const paramsKey = 'params'; const promptTemplateKey = 'promptTemplate'; const contextSchemaKey = 'contextSchema'; const promptOriginKey = 'promptOrigin'; const recommendedTestsVar = '`recommendedTests`'; export const recommendPromptTemplateTestsTool = { name: PromptWorkbenchToolName.recommend_prompt_template_tests, description: ` About this tool: - This tool is part of a toolchain that generates and provides test cases for a prompt template. - This tool generates an array of recommended tests for a given prompt template. Parameters: - ${paramsKey}: object - ${promptTemplateKey}: string (the prompt template to be tested) - ${contextSchemaKey}: object (the context schema that defines the expected input parameters for the prompt template) - ${promptOriginKey}: "${PromptOrigin.codebase}" | "${PromptOrigin.requirements}" (indicates whether the prompt comes from an existing codebase or from new requirements) - ${modelKey}: string (the model that the prompt template will be tested against) Example usage: { "${paramsKey}": { "${promptTemplateKey}": "The user wants a bedtime story about {{topic}} for a person of age {{age}} years old. Please craft a captivating tale that captivates their imagination and provides a delightful bedtime experience.", "${contextSchemaKey}": { "topic": "string", "age": "number" }, "${promptOriginKey}": "${PromptOrigin.codebase}" } } The tool will return a structured array of test cases that can be used to test the prompt template. Tool output instructions: - The tool will return a ${recommendedTestsVar} array that can be used to test the prompt template. `, inputSchema: recommendPromptTemplateTestsInputSchema, };

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