0.60.0 (2024-07-07)

Renaming and making names more consistent and less disambigous

• Rename word "promptbook"
  • Keep name "Promptbook" as name for this project.
  • Rename promptbook as pipeline of templates defined in .ptbk.md to "pipeline"
• Rename word "library"
  • For library used as a collection of templates use name "collection"
  • For library used as this project and package use word "package"
• Rename methods in LlmExecutionTools
  • gptChat -> callChatModel
  • gptComplete -> callCompletionModel
• Rename custom errors
• Rename folder promptbook-collection -> promptbook-collection
• In CLI you ca use both promptbook and ptbk

In prepare

0.59.0 (2024-06-30)

Preparation for system for management of external knowledge (RAG), vector embeddings and propper building of pipeline collection.

• Add MaterialKnowledgePieceJson
• Add KnowledgeJson
• Add prepareKnowledgeFromMarkdown exported from @promptbook/core
• Change promptbookStringToJson to async function (and add promptbookStringToJsonSync for promptbooks without external knowledge)
• Change createPromptbookLibraryFromSources to createPromptbookLibraryFromJson and allow only compiled jsons as input + it is not async anymore
• Allow only jsons as input in createLibraryFromPromise
• Class SimplePromptbookLibrary not exposed at all, only type PromptbookLibrary and constructors
• Rename all createPromptbookLibraryFromXyz to createLibraryFromXyz
• Misc Tool classes not requires options anymore (like CallbackInterfaceTools, OpenAiExecutionTools, AnthropicClaudeExecutionTools, etc.)
• Add util libraryToJson exported from @promptbook/core
• CLI util ptbk make ... can convert promptbooks to JSON
• promptbookStringToJson automatically looks for promptbook-collection.json in root of given directory
• Rename validatePromptbookJson to validatePromptbook
• Create embed method on LLM tools, PromptEmbeddingResult, EmbeddingVector and embeddingVectorToString
• createLibraryFromDirectory still DONT use prebuild library (just detects it)