@promptbook/fake-llm
Advanced tools
PromptbookBuild responsible, controlled and transparent applications on top of LLM models!
npx ptbk run path/to/your/book.docx, .doc and .pdf documents@promptbook/fake-llm@promptbook/fake-llm is one part of the promptbook ecosystem.To install this package, run:
# Install entire promptbook ecosystem
npm i ptbk
# Install just this package to save space
npm install @promptbook/fake-llm
Mock objects for testing the execution tools without token usage.
Rest of the documentation is common for entire promptbook ecosystem:
If you have a simple, single prompt for ChatGPT, GPT-4, Anthropic Claude, Google Gemini, Llama 3, 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.
But often you will struggle with the limitations of LLMs, such as hallucinations, off-topic responses, poor quality output, language and prompt drift, word repetition repetition repetition repetition or misuse, lack of context, or just plain w๐๐ขrd resp0nses. When this happens, you generally have three options:
In all of these situations, but especially in 3., the โจ Promptbook can make your life waaaaaaaaaay easier.
temperature, top-k, top-p, or kernel sampling. Just write your intent and persona who should be responsible for the task and let the library do the rest.:) can't avoid the problems. In this case, the library has built-in anomaly detection and logging to help you find and fix the problems.Promptbook project is ecosystem of multiple projects and tools, following is a list of most important pieces of the project:
| Project | Description | Link |
|---|---|---|
| Core | Promptbook core is a description and documentation of basic innerworkings how should be Promptbook implemented and defines which fetures must be descriable by book language | https://ptbk.io https://github.com/webgptorg/book |
| Book language | Book is a markdown-like language to define core entities like projects, pipelines, knowledge,.... It is designed to be understandable by non-programmers and non-technical people | |
| Promptbook typescript project | Implementation of Promptbook in TypeScript published into multiple packages to NPM | https://github.com/webgptorg/promptbook + Multiple packages on NPM |
| Promptbook studio | No-code studio to write book without need to write even the markdown | https://promptbook.studio https://github.com/hejny/promptbook-studio |
| Promptbook miniapps | Builder of LLM miniapps from book notation |
Following is the documentation and blueprint of the Book language.
# ๐ My first Book
- PERSONA Jane, marketing specialist with prior experience in writing articles about technology and artificial intelligence
- KNOWLEDGE https://ptbk.io
- KNOWLEDGE ./promptbook.pdf
- EXPECT MIN 1 Sentence
- EXPECT MAX 1 Paragraph
> Write an article about the future of artificial intelligence in the next 10 years and how metalanguages will change the way AI is used in the world.
> Look specifically at the impact of Promptbook on the AI industry.
-> {article}
File is designed to be easy to read and write. It is strict subset of markdown. It is designed to be understandable by both humans and machines and without specific knowledge of the language.
It has file with .book.md or .book extension with UTF-8 non BOM encoding.
As it is source code, it can leverage all the features of version control systems like git and does not suffer from the problems of binary formats, proprietary formats, or no-code solutions.
But unlike programming languages, it is designed to be understandable by non-programmers and non-technical people.
Book is divided into sections. Each section starts with heading. The language itself is not sensitive to the type of heading (h1, h2, h3, ...) but it is recommended to use h1 for header section and h2 for other sections.
Header is the first section of the book. It contains metadata about the pipeline. It is recommended to use h1 heading for header section but it is not required.
Foo bar
Reserved words:
PERSONA, EXPECT, KNOWLEDGE, etc.contentcontextknowledgeexamplesmodelNamecurrentDateTodo todo
Todo todo
Todo todo
This library is divided into several packages, all are published from single monorepo. You can install all of them at once:
npm i ptbk
Or you can install them separately:
โญ Marked packages are worth to try first
ptbk.pdf documents.docx, .odt,โฆ.doc, .rtf,โฆThe following glossary is used to clarify certain concepts:
Note: Thos section is not complete dictionary, more list of general AI / LLM terms that has connection with Promptbook
If you have a question start a discussion, open an issue or write me an email.
See CHANGELOG.md
Promptbook by Pavol Hejnรฝ is licensed under CC BY 4.0
See TODO.md
I am open to pull requests, feedback, and suggestions. Or if you like this utility, you can โ buy me a coffee or donate via cryptocurrencies.
You can also โญ star the promptbook package, follow me on GitHub or various other social networks.
0.74.0 (2024-11-11)
1.0.0 both in Promptbook and Book languageptbk run ./path/to/book.ptbk.mdcountLines and countPages utility functionBlackholeStorage.ptbk.* -> .book.*PROMPTBOOK_VERSION -> BOOK_LANGUAGE_VERSION + PROMPTBOOK_ENGINE_VERSIONFAQs
Supercharge your use of large language models
The npm package @promptbook/fake-llm receives a total of 1,005 weekly downloads. As such, @promptbook/fake-llm popularity was classified as popular.
We found that @promptbook/fake-llm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.ย It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVDโs backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.