Thinkableai prompt

by @thinkableai

Introduction

• ⚡️ Build and execute advanced prompts.
• 😍 Easy to extend and initialize language model settings.

Quick Installation

npm install @thinkableai/prompt
# or
yarn add @thinkableai/prompt
# or
pnpm add @thinkableai/prompt
# or
bun install @thinkableai/prompt

In env file make sure add key:

OPENAI_API_KEY=
# or
ANTHROPIC_API_KEY=
# or
GOOGLE_API_KEY=
# or
GROQ_API_KEY=
# or
AZURE_API_KEY=

Usage

- Import a module.

import { Module } from "@nestjs/common";
import { AppController } from "./app.controller";
import { AppService } from "./app.service";
import { PromptModule } from "@thinkableai/prompt";

@Module({
  imports: [PromptModule], // import a module.
  controllers: [AppController],
  providers: [AppService],
})
export class AppModule {}

- Call service to build and execute a prompt.

import { Controller, Post } from "@nestjs/common";
import {
  ExecutePromptInput,
  FormatContentTypeEnum,
  LLMProviderEnum,
  LLMSettingsModel,
  PromptService,
} from "@thinkableai/prompt";

@Controller()
export class AppController {
  constructor(private readonly promptService: PromptService) {}

  @Post()
  async run() {
    const llmSettings = new LLMSettingsModel("CHAT", LLMProviderEnum.OPENAI);
    const systemPrompt = `I act you as a JSON generator`;
    const prompt = `{VAR_A} is value of a prompt and {VAR_B} is value of chat, make sure to not use a highlight`;
    const values = {
      VAR_A: "my_value",
      VAR_B: "hello",
    };
    const input: ExecutePromptInput = {
      prompt,
      values,
      systemPrompt,
      llmSettings,
      formatContentType: FormatContentTypeEnum.JSON, // force to receive a clean json format.
    };
    const content = await this.promptService.executePrompt(input);

    return { content };
  }
}