@promptbook/browser - npm Package Compare versions

Comparing version 0.68.2 to 0.68.3

esm/index.es.js

		@@ -8,3 +8,3 @@ import spaceTrim$1, { spaceTrim } from 'spacetrim';
		*/
		var PROMPTBOOK_VERSION = '0.68.1';
		var PROMPTBOOK_VERSION = '0.68.2';
		// TODO: !!!! List here all the versions and annotate + put into script
		@@ -11,0 +11,0 @@

package.json

		{
		"name": "@promptbook/browser",
		"version": "0.68.2",
		"version": "0.68.3",
		"description": "Supercharge your use of large language models",
		@@ -50,3 +50,3 @@ "private": false,
		"peerDependencies": {
		"@promptbook/core": "0.68.2"
		"@promptbook/core": "0.68.3"
		},
		@@ -53,0 +53,0 @@ "dependencies": {

README.md

		@@ -47,2 +47,4 @@ <!-- ⚠️ WARNING: This code has been generated so that any manual changes will be overwritten -->



		If you have a simple, single prompt for ChatGPT, GPT-4, Anthropic Claude, Google Gemini, Llama 2, or whatever, it doesn't matter how you integrate it. Whether it's calling a REST API directly, using the SDK, hardcoding the prompt into the source code, or importing a text file, the process remains the same.
		@@ -66,4 +68,6 @@

		## 🧔 Promptbook _(for prompt-engeneers)_


		## 🧔 Pipeline _(for prompt-engeneers)_

		Prompt book markdown file (or `.ptbk.md` file) is document that describes a pipeline - a series of prompts that are chained together to form somewhat reciepe for transforming natural language input.
		@@ -409,60 +413,12 @@



		If you have a question [start a discussion](https://github.com/webgptorg/promptbook/discussions/), [open an issue](https://github.com/webgptorg/promptbook/issues) or [write me an email](https://www.pavolhejny.com/contact).

		### Why not just use the OpenAI SDK / Anthropic Claude SDK / ...?
		- [❔ Why not just use the OpenAI SDK / Anthropic Claude SDK / ...?](https://github.com/webgptorg/promptbook/discussions/114)
		- [❔ How is it different from the OpenAI`s GPTs?](https://github.com/webgptorg/promptbook/discussions/118)
		- [❔ How is it different from the Langchain?](https://github.com/webgptorg/promptbook/discussions/115)
		- [❔ How is it different from the DSPy?](https://github.com/webgptorg/promptbook/discussions/117)
		- [❔ How is it different from _anything_?](https://github.com/webgptorg/promptbook/discussions?discussions_q=is%3Aopen+label%3A%22Promptbook+vs%22)
		- [❔ Is Promptbook using RAG _(Retrieval-Augmented Generation)_?](https://github.com/webgptorg/promptbook/discussions/123)
		- [❔ Is Promptbook using function calling?](https://github.com/webgptorg/promptbook/discussions/124)

		Different levels of abstraction. OpenAI library is for direct use of OpenAI API. This library is for a higher level of abstraction. It define pipelines that are independent of the underlying library, LLM model, or even LLM provider.

		### How is it different from the Langchain library?

		Langchain is primarily aimed at ML developers working in Python. This library is for developers working in javascript/typescript and creating applications for end users.

		We are considering creating a bridge/converter between these two libraries.



		### Promptbooks vs. OpenAI`s GPTs

		GPTs are chat assistants that can be assigned to specific tasks and materials. But they are still chat assistants. Promptbooks are a way to orchestrate many more predefined tasks to have much tighter control over the process. Promptbooks are not a good technology for creating human-like chatbots, GPTs are not a good technology for creating outputs with specific requirements.















		### Where should I store my promptbooks?

		If you use raw SDKs, you just put prompts in the sourcecode, mixed in with typescript, javascript, python or whatever programming language you use.

		If you use promptbooks, you can store them in several places, each with its own advantages and disadvantages:

		1. As source code, typically git-committed. In this case you can use the versioning system and the promptbooks will be tightly coupled with the version of the application. You still get the power of promptbooks, as you separate the concerns of the prompt-engineer and the programmer.

		2. As data in a database In this case, promptbooks are like posts / articles on the blog. They can be modified independently of the application. You don't need to redeploy the application to change the promptbooks. You can have multiple versions of promptbooks for each user. You can have a web interface for non-programmers to create and modify promptbooks. But you lose the versioning system and you still have to consider the interface between the promptbooks and the application _(= input and output parameters)_.

		3. In a configuration in environment variables. This is a good way to store promptbooks if you have an application with multiple deployments and you want to have different but simple promptbooks for each deployment and you don't need to change them often.

		### What should I do when I need same promptbook in multiple human languages?

		A single promptbook can be written for several _(human)_ languages at once. However, we recommend that you have separate promptbooks for each language.

		In large language models, you will get better results if you have prompts in the same language as the user input.

		The best way to manage this is to have suffixed promptbooks like `write-website-content.en.ptbk.md` and `write-website-content.cs.ptbk.md` for each supported language.





		## ⌚ Changelog
		@@ -469,0 +425,0 @@

umd/index.umd.js

		@@ -15,3 +15,3 @@ (function (global, factory) {
		*/
		var PROMPTBOOK_VERSION = '0.68.1';
		var PROMPTBOOK_VERSION = '0.68.2';
		// TODO: !!!! List here all the versions and annotate + put into script
		@@ -18,0 +18,0 @@

@promptbook/browser - npm Package Compare versions

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