@langchain/openai/dist/utils/prompts.d.ts.map

OpenAI integrations for LangChain.js

{"version":3,"file":"prompts.d.ts","names":["BasePromptValue","OpenAI","convertPromptToOpenAI","Chat","ChatCompletionMessageParam"],"sources":["../../src/utils/prompts.d.ts"],"sourcesContent":["import type { BasePromptValue } from \"@langchain/core/prompt_values\";\nimport type { OpenAI } from \"openai\";\n/**\n * Convert a formatted LangChain prompt (e.g. pulled from the hub) into\n * a format expected by OpenAI's JS SDK.\n *\n * Requires the \"@langchain/openai\" package to be installed in addition\n * to the OpenAI SDK.\n *\n * @example\n * ```ts\n * import { convertPromptToOpenAI } from \"langsmith/utils/hub/openai\";\n * import { pull } from \"langchain/hub\";\n *\n * import OpenAI from 'openai';\n *\n * const prompt = await pull(\"jacob/joke-generator\");\n * const formattedPrompt = await prompt.invoke({\n *   topic: \"cats\",\n * });\n *\n * const { messages } = convertPromptToOpenAI(formattedPrompt);\n *\n * const openAIClient = new OpenAI();\n *\n * const openaiResponse = await openAIClient.chat.completions.create({\n *   model: \"gpt-4o-mini\",\n *   messages,\n * });\n * ```\n * @param formattedPrompt\n * @returns A partial OpenAI payload.\n */\nexport declare function convertPromptToOpenAI(formattedPrompt: BasePromptValue): {\n    messages: OpenAI.Chat.ChatCompletionMessageParam[];\n};\n//# sourceMappingURL=prompts.d.ts.map"],"mappings":";;;;;;;AAiCA;;;;;;;;;;;;;;;;;;;;;;;;;;;;;iBAAwBE,qBAAAA,kBAAuCF;YACjDC,QAAAA,CAAOE,IAAAA,CAAKC"}