@promptbook/node
Advanced tools
Comparing version 0.60.1 to 0.61.0-0
@@ -1,2 +0,2 @@ | ||
declare const _default: { | ||
declare const _default: ({ | ||
title: string; | ||
@@ -15,3 +15,3 @@ pipelineUrl: string; | ||
dependentParameterNames: string[]; | ||
executionType: string; | ||
blockType: string; | ||
modelRequirements: { | ||
@@ -24,4 +24,61 @@ modelVariant: string; | ||
}[]; | ||
knowledge: never[]; | ||
}[]; | ||
knowledge: { | ||
name: string; | ||
title: string; | ||
content: string; | ||
keywords: string[]; | ||
index: { | ||
modelName: string; | ||
position: number[]; | ||
}[]; | ||
sources: { | ||
title: string; | ||
href: string; | ||
}[]; | ||
}[]; | ||
sourceFile: string; | ||
} | { | ||
title: string; | ||
pipelineUrl: string; | ||
promptbookVersion: string; | ||
parameters: { | ||
name: string; | ||
description: string; | ||
isInput: boolean; | ||
isOutput: boolean; | ||
}[]; | ||
promptTemplates: { | ||
name: string; | ||
title: string; | ||
dependentParameterNames: string[]; | ||
blockType: string; | ||
expectations: { | ||
words: { | ||
min: number; | ||
max: number; | ||
}; | ||
}; | ||
modelRequirements: { | ||
modelVariant: string; | ||
modelName: string; | ||
}; | ||
content: string; | ||
resultingParameterName: string; | ||
}[]; | ||
knowledge: { | ||
name: string; | ||
title: string; | ||
content: string; | ||
keywords: string[]; | ||
index: { | ||
modelName: string; | ||
position: number[]; | ||
}[]; | ||
sources: { | ||
title: string; | ||
href: string; | ||
}[]; | ||
}[]; | ||
sourceFile: string; | ||
})[]; | ||
export default _default; |
@@ -6,2 +6,4 @@ import { collectionToJson } from '../collection/collectionToJson'; | ||
import { createSubcollection } from '../collection/constructors/createSubcollection'; | ||
import { BlockTypes } from '../commands/BLOCK/BlockTypes'; | ||
import { RESERVED_PARAMETER_NAMES } from '../config'; | ||
import { pipelineJsonToString } from '../conversion/pipelineJsonToString'; | ||
@@ -13,8 +15,7 @@ import { pipelineStringToJson } from '../conversion/pipelineStringToJson'; | ||
import { CollectionError } from '../errors/CollectionError'; | ||
import { ExecutionError } from '../errors/ExecutionError'; | ||
import { NotFoundError } from '../errors/NotFoundError'; | ||
import { ParsingError } from '../errors/ParsingError'; | ||
import { PipelineExecutionError } from '../errors/PipelineExecutionError'; | ||
import { PipelineLogicError } from '../errors/PipelineLogicError'; | ||
import { ReferenceError } from '../errors/ReferenceError'; | ||
import { SyntaxError } from '../errors/SyntaxError'; | ||
import { TemplateError } from '../errors/TemplateError'; | ||
import { UnexpectedError } from '../errors/UnexpectedError'; | ||
@@ -32,4 +33,3 @@ import { ExpectError } from '../errors/_ExpectError'; | ||
import { prepareKnowledgeFromMarkdown } from '../knowledge/prepare-knowledge/markdown/prepareKnowledgeFromMarkdown'; | ||
import { MultipleLlmExecutionTools } from '../llm-providers/multiple/MultipleLlmExecutionTools'; | ||
import { ExecutionTypes } from '../types/ExecutionTypes'; | ||
import { joinLlmExecutionTools } from '../llm-providers/multiple/joinLlmExecutionTools'; | ||
import type { ExecutionReportStringOptions } from '../types/execution-report/ExecutionReportStringOptions'; | ||
@@ -40,3 +40,3 @@ import { ExecutionReportStringOptionsDefaults } from '../types/execution-report/ExecutionReportStringOptions'; | ||
export { PROMPTBOOK_VERSION }; | ||
export { ExecutionTypes }; | ||
export { BlockTypes, RESERVED_PARAMETER_NAMES }; | ||
export { addUsage, assertsExecutionSuccessful, checkExpectations, embeddingVectorToString, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPipelineString, usageToWorktime, }; | ||
@@ -46,4 +46,4 @@ export { collectionToJson, createCollectionFromJson, createCollectionFromPromise, createCollectionFromUrl, createSubcollection, }; | ||
export { pipelineJsonToString, pipelineStringToJson, pipelineStringToJsonSync, validatePipeline }; | ||
export { createPipelineExecutor, MultipleLlmExecutionTools }; | ||
export { createPipelineExecutor, joinLlmExecutionTools }; | ||
export { CallbackInterfaceTools, CallbackInterfaceToolsOptions }; | ||
export { CollectionError, ExecutionError, ExpectError, NotFoundError, PipelineLogicError, ReferenceError, SyntaxError, TemplateError, UnexpectedError, }; | ||
export { CollectionError, ExpectError, NotFoundError, ParsingError, PipelineExecutionError, PipelineLogicError, ReferenceError, UnexpectedError, }; |
import type { PipelineCollection } from '../collection/PipelineCollection'; | ||
import type { BlockType } from '../commands/BLOCK/BlockTypes'; | ||
import type { CommonExecutionToolsOptions } from '../execution/CommonExecutionToolsOptions'; | ||
@@ -10,11 +11,15 @@ import { EmbeddingVector } from '../execution/EmbeddingVector'; | ||
import type { UserInterfaceTools, UserInterfaceToolsPromptDialogOptions } from '../execution/UserInterfaceTools'; | ||
import type { ExecutionType } from '../types/ExecutionTypes'; | ||
import type { ModelRequirements, ModelVariant } from '../types/ModelRequirements'; | ||
import type { Parameters } from '../types/Parameters'; | ||
import type { ExpectationAmount, ExpectationUnit, Expectations } from '../types/PipelineJson/Expectations'; | ||
import { EXPECTATION_UNITS } from '../types/PipelineJson/Expectations'; | ||
import { KnowledgeJson } from '../types/PipelineJson/KnowledgeJson'; | ||
import type { LlmTemplateJson } from '../types/PipelineJson/LlmTemplateJson'; | ||
import { MaterialKnowledgePieceJson } from '../types/PipelineJson/MaterialKnowledgePieceJson'; | ||
import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
import type { ExpectationAmount, ExpectationUnit, Expectations, LlmTemplateJson, PromptDialogJson, PromptTemplateJson, ScriptJson, SimpleTemplateJson } from '../types/PipelineJson/PromptTemplateJson'; | ||
import { EXPECTATION_UNITS } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { PromptDialogJson } from '../types/PipelineJson/PromptDialogJson'; | ||
import type { PromptTemplateJson } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { PromptTemplateParameterJson } from '../types/PipelineJson/PromptTemplateParameterJson'; | ||
import type { ScriptJson } from '../types/PipelineJson/ScriptJson'; | ||
import type { SimpleTemplateJson } from '../types/PipelineJson/SimpleTemplateJson'; | ||
import type { PipelineString } from '../types/PipelineString'; | ||
@@ -26,10 +31,10 @@ import type { Prompt } from '../types/Prompt'; | ||
import type { string_char_emoji } from '../types/typeAliasEmoji'; | ||
import type { client_id, string_char, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_version } from '../types/typeAliases'; | ||
import type { client_id, string_char, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_emails, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_semantic_version, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_uuid } from '../types/typeAliases'; | ||
import type { FromtoItems } from '../utils/FromtoItems'; | ||
import { PROMPTBOOK_VERSION } from '../version'; | ||
import { PROMPTBOOK_VERSION, string_promptbook_version } from '../version'; | ||
export { PROMPTBOOK_VERSION }; | ||
export { EXPECTATION_UNITS }; | ||
export type { AvailableModel, CommonExecutionToolsOptions, EmbeddingVector, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, ExpectationUnit, Expectations, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, PipelineCollection, PipelineExecutor, PipelineJson, PipelineString, Prompt, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptEmbeddingResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, client_id, string_char, string_char_emoji, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_version, }; | ||
export type { AvailableModel, BlockType, CommonExecutionToolsOptions, EmbeddingVector, ExecutionReportJson, ExecutionTools, ExpectationAmount, ExpectationUnit, Expectations, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, PipelineCollection, PipelineExecutor, PipelineJson, PipelineString, Prompt, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptEmbeddingResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, client_id, string_char, string_char_emoji, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_emails, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_promptbook_version, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_uuid, string_semantic_version as string_version, }; | ||
/** | ||
* TODO: Delete type aliases (from ../types/typeAliases) that are not exported here | ||
*/ |
@@ -5,3 +5,2 @@ import { spaceTrim } from 'spacetrim'; | ||
import { extractVariables } from '../conversion/utils/extractVariables'; | ||
import { parseNumber } from '../conversion/utils/parseNumber'; | ||
import { renameParameter } from '../conversion/utils/renameParameter'; | ||
@@ -20,7 +19,2 @@ import { titleToName } from '../conversion/utils/titleToName'; | ||
import { extractParameters } from '../utils/extractParameters'; | ||
import { extractAllBlocksFromMarkdown } from '../utils/markdown/extractAllBlocksFromMarkdown'; | ||
import { extractAllListItemsFromMarkdown } from '../utils/markdown/extractAllListItemsFromMarkdown'; | ||
import { extractOneBlockFromMarkdown } from '../utils/markdown/extractOneBlockFromMarkdown'; | ||
import { removeContentComments } from '../utils/markdown/removeContentComments'; | ||
import { removeMarkdownFormatting } from '../utils/markdown/removeMarkdownFormatting'; | ||
import { DIACRITIC_VARIANTS_LETTERS } from '../utils/normalization/DIACRITIC_VARIANTS_LETTERS'; | ||
@@ -33,7 +27,7 @@ import type { IKeywords, string_keyword } from '../utils/normalization/IKeywords'; | ||
import { nameToUriParts } from '../utils/normalization/nameToUriParts'; | ||
import { normalizeToKebabCase } from '../utils/normalization/normalize-to-kebab-case'; | ||
import { normalizeTo_PascalCase } from '../utils/normalization/normalizeTo_PascalCase'; | ||
import { normalizeTo_SCREAMING_CASE } from '../utils/normalization/normalizeTo_SCREAMING_CASE'; | ||
import { normalizeTo_camelCase } from '../utils/normalization/normalizeTo_camelCase'; | ||
import { normalizeTo_snake_case } from '../utils/normalization/normalizeTo_snake_case'; | ||
import { normalizeToKebabCase, string_kebab_case } from '../utils/normalization/normalize-to-kebab-case'; | ||
import { normalizeTo_PascalCase, string_PascalCase } from '../utils/normalization/normalizeTo_PascalCase'; | ||
import { normalizeTo_SCREAMING_CASE, string_SCREAMING_CASE } from '../utils/normalization/normalizeTo_SCREAMING_CASE'; | ||
import { normalizeTo_camelCase, string_camelCase } from '../utils/normalization/normalizeTo_camelCase'; | ||
import { normalizeTo_snake_case, string_snake_case } from '../utils/normalization/normalizeTo_snake_case'; | ||
import { normalizeWhitespaces } from '../utils/normalization/normalizeWhitespaces'; | ||
@@ -44,2 +38,3 @@ import { parseKeywords } from '../utils/normalization/parseKeywords'; | ||
import { searchKeywords } from '../utils/normalization/searchKeywords'; | ||
import { parseNumber } from '../utils/parseNumber'; | ||
import { extractBlock } from '../utils/postprocessing/extractBlock'; | ||
@@ -54,9 +49,17 @@ import { removeEmojis } from '../utils/removeEmojis'; | ||
import { unwrapResult } from '../utils/unwrapResult'; | ||
import { isValidFilePath } from '../utils/validators/filePath/isValidFilePath'; | ||
import { isValidJavascriptName } from '../utils/validators/javascriptName/isValidJavascriptName'; | ||
import { isValidPromptbookVersion } from '../utils/validators/semanticVersion/isValidPromptbookVersion'; | ||
import { isValidSemanticVersion } from '../utils/validators/semanticVersion/isValidSemanticVersion'; | ||
import { isHostnameOnPrivateNetwork } from '../utils/validators/url/isHostnameOnPrivateNetwork'; | ||
import { isUrlOnPrivateNetwork } from '../utils/validators/url/isUrlOnPrivateNetwork'; | ||
import { isValidPipelineUrl } from '../utils/validators/url/isValidPipelineUrl'; | ||
import { isValidUrl } from '../utils/validators/url/isValidUrl'; | ||
import { isValidUuid } from '../utils/validators/uuid/isValidUuid'; | ||
import { PROMPTBOOK_VERSION } from '../version'; | ||
export { PROMPTBOOK_VERSION, forEachAsync }; | ||
export { extractAllBlocksFromMarkdown, // <- [🌻] | ||
extractAllListItemsFromMarkdown, extractBlock, // <- [🌻] | ||
extractOneBlockFromMarkdown, extractParameters, extractVariables, isValidJsonString, parseNumber, // <- [🌻] | ||
removeContentComments, removeEmojis, removeMarkdownFormatting, removeQuotes, replaceParameters, spaceTrim, trimCodeBlock, trimEndOfCodeBlock, unwrapResult, }; | ||
export { CountUtils, countCharacters, countLines, countPages, countParagraphs, countSentences, countWords }; | ||
export { forEachAsync, PROMPTBOOK_VERSION }; | ||
export { extractBlock, // <- [🌻] + maybe export through `@promptbook/markdown-utils` | ||
extractParameters, extractVariables, isHostnameOnPrivateNetwork, isUrlOnPrivateNetwork, isValidFilePath, isValidJavascriptName, isValidJsonString, isValidPipelineUrl as isValidPipelineUrl, isValidPromptbookVersion, isValidSemanticVersion, isValidUrl, isValidUuid, parseNumber, // <- [🌻] | ||
removeEmojis, removeQuotes, replaceParameters, spaceTrim, trimCodeBlock, trimEndOfCodeBlock, unwrapResult, }; | ||
export { countCharacters, countLines, countPages, countParagraphs, countSentences, CountUtils, countWords }; | ||
export { splitIntoSentences }; | ||
@@ -70,8 +73,9 @@ export declare const normalizeTo: { | ||
}; | ||
export { DIACRITIC_VARIANTS_LETTERS, IKeywords, capitalize, decapitalize, isValidKeyword, nameToUriPart, nameToUriParts, normalizeToKebabCase, normalizeTo_PascalCase, normalizeTo_SCREAMING_CASE, normalizeTo_camelCase, normalizeTo_snake_case, normalizeWhitespaces, parseKeywords, parseKeywordsFromString, removeDiacritics, searchKeywords, string_keyword, titleToName, }; | ||
export { capitalize, decapitalize, DIACRITIC_VARIANTS_LETTERS, IKeywords, isValidKeyword, nameToUriPart, nameToUriParts, normalizeTo_camelCase, normalizeTo_PascalCase, normalizeTo_SCREAMING_CASE, normalizeTo_snake_case, normalizeToKebabCase, normalizeWhitespaces, parseKeywords, parseKeywordsFromString, removeDiacritics, searchKeywords, string_keyword, titleToName, }; | ||
export type { string_camelCase, string_kebab_case, string_PascalCase, string_SCREAMING_CASE, string_snake_case }; | ||
export { extractParametersFromPromptTemplate, renameParameter, renderPromptbookMermaid }; | ||
export { difference, intersection, union }; | ||
/** | ||
* TODO: [🧠] Maybe create some indipendent package like `markdown-tools` from both here exported and @private utilities | ||
* TODO: [🧠] Maybe create some indipendent package like `@promptbook/markdown-utils` | ||
* Note: [🕙] It does not make sence to have simple lower / UPPER case normalization | ||
*/ |
@@ -9,1 +9,4 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
export declare function collectionToJson(collection: PipelineCollection): Promise<Array<PipelineJson>>; | ||
/** | ||
* TODO: [🧠] Maybe clear `sourceFile` or clear when exposing through API or remote server | ||
*/ |
export {}; | ||
/** | ||
* Note: [🐠] For example here URL https://example.com/pipeline.ptbk.md is not valid | ||
* because it is on private network BUT its very hard to debug because | ||
* there is no error message and false return (the error) happen deep in: | ||
* `isValidPipelineUrl` -> `isValidPipelineUrl` -> `isUrlOnPrivateNetwork` | ||
*/ |
@@ -0,1 +1,2 @@ | ||
import type { PipelineStringToJsonOptions } from '../../conversion/pipelineStringToJson'; | ||
import type { string_folder_path } from '../../types/typeAliases'; | ||
@@ -6,3 +7,3 @@ import type { PipelineCollection } from '../PipelineCollection'; | ||
*/ | ||
type CreatePipelineCollectionFromDirectoryOptions = { | ||
type CreatePipelineCollectionFromDirectoryOptions = PipelineStringToJsonOptions & { | ||
/** | ||
@@ -9,0 +10,0 @@ * If true, the directory is searched recursively for promptbooks |
@@ -13,1 +13,5 @@ /** | ||
export declare const PIPELINE_COLLECTION_BASE_FILENAME = "index"; | ||
/** | ||
* The names of the parameters that are reserved for special purposes | ||
*/ | ||
export declare const RESERVED_PARAMETER_NAMES: string[]; |
@@ -11,3 +11,5 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
/** | ||
* TODO: !!!!! Implement new features and commands into `promptTemplateParameterJsonToString` | ||
* TODO: [🧠] Is there a way to auto-detect missing features in pipelineJsonToString | ||
* TODO: Escape all | ||
*/ |
@@ -7,3 +7,3 @@ import type { LlmExecutionTools } from '../execution/LlmExecutionTools'; | ||
*/ | ||
type PipelineStringToJsonOptions = { | ||
export type PipelineStringToJsonOptions = { | ||
/** | ||
@@ -24,3 +24,3 @@ * Tools for processing required for knowledge processing *(not for actual execution)* | ||
* @returns {Promptbook} compiled in JSON format (.ptbk.json) | ||
* @throws {SyntaxError} if the promptbook string is not valid | ||
* @throws {ParsingError} if the promptbook string is not valid | ||
* | ||
@@ -31,5 +31,4 @@ * Note: This function does not validate logic of the pipeline only the syntax | ||
export declare function pipelineStringToJson(pipelineString: PipelineString, options?: PipelineStringToJsonOptions): Promise<PipelineJson>; | ||
export {}; | ||
/** | ||
* TODO: [🏏] Leverage the batch API and build queues @see https://platform.openai.com/docs/guides/batch | ||
*/ |
@@ -13,3 +13,3 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
* @returns {Promptbook} compiled in JSON format (.ptbk.json) | ||
* @throws {SyntaxError} if the promptbook string is not valid | ||
* @throws {ParsingError} if the promptbook string is not valid | ||
* | ||
@@ -21,5 +21,7 @@ * Note: This function does not validate logic of the pipeline only the syntax | ||
/** | ||
* TODO: Report here line/column of error | ||
* TODO: !!!! Warn if used only sync version | ||
* TODO: [🚞] Report here line/column of error | ||
* TODO: Use spaceTrim more effectively | ||
* TODO: [🧠] Parameter flags - isInput, isOutput, isInternal | ||
* TODO: [🥞] Not optimal parsing because `splitMarkdownIntoSections` is executed twice with same string, once through `flattenMarkdown` and second directly here | ||
*/ |
@@ -8,7 +8,7 @@ import type { PromptTemplateJson } from '../../types/PipelineJson/PromptTemplateJson'; | ||
* @returns the set of parameter names | ||
* @throws {SyntaxError} if the script is invalid | ||
* @throws {ParsingError} if the script is invalid | ||
*/ | ||
export declare function extractParametersFromPromptTemplate(promptTemplate: Pick<PromptTemplateJson, 'title' | 'description' | 'executionType' | 'content'>): Set<string_name>; | ||
export declare function extractParametersFromPromptTemplate(promptTemplate: Pick<PromptTemplateJson, 'title' | 'description' | 'blockType' | 'content'>): Set<string_name>; | ||
/** | ||
* TODO: [🔣] If script require contentLanguage | ||
*/ |
@@ -8,3 +8,3 @@ import type { string_javascript } from '../../types/typeAliases'; | ||
* @returns the list of variable names | ||
* @throws {SyntaxError} if the script is invalid | ||
* @throws {ParsingError} if the script is invalid | ||
*/ | ||
@@ -11,0 +11,0 @@ export declare function extractVariables(script: string_javascript): Set<string_javascript_name>; |
export {}; | ||
/** | ||
* TODO: Include automatically all samples from logic errors folder (same with syntax errors) | ||
*/ |
/** | ||
* This error occurs when some expectation is not met in the execution of the pipeline | ||
* | ||
* @private Always catched and rethrown as `ExecutionError` | ||
* Note: This is a kindof subtype of ExecutionError | ||
* @private Always catched and rethrown as `PipelineExecutionError` | ||
* Note: This is a kindof subtype of PipelineExecutionError | ||
*/ | ||
@@ -7,0 +7,0 @@ export declare class ExpectError extends Error { |
@@ -6,3 +6,3 @@ import type { PipelineExecutor } from './PipelineExecutor'; | ||
* @param executionResult - The partial result of the promptnook execution | ||
* @throws {ExecutionError} If the execution is not successful or if multiple errors occurred | ||
* @throws {PipelineExecutionError} If the execution is not successful or if multiple errors occurred | ||
*/ | ||
@@ -9,0 +9,0 @@ export declare function assertsExecutionSuccessful(executionResult: Pick<Awaited<ReturnType<PipelineExecutor>>, 'isSuccessful' | 'errors'>): void; |
@@ -0,1 +1,2 @@ | ||
import type { Arrayable } from '../types/Arrayable'; | ||
import type { LlmExecutionTools } from './LlmExecutionTools'; | ||
@@ -13,6 +14,6 @@ import type { ScriptExecutionTools } from './ScriptExecutionTools'; | ||
* | ||
* Tip: Combine multiple LLM execution tools with `MultipleLlmExecutionTools` | ||
* Tip: Combine multiple LLM execution tools - use array of LlmExecutionTools instead of single LlmExecutionTools | ||
* @see https://github.com/webgptorg/promptbook/?tab=readme-ov-file#llm-execution-tools | ||
*/ | ||
llm: LlmExecutionTools; | ||
llm?: Arrayable<LlmExecutionTools>; | ||
/** | ||
@@ -25,3 +26,3 @@ * Tools for executing scripts | ||
*/ | ||
script: Array<ScriptExecutionTools>; | ||
script?: Arrayable<ScriptExecutionTools>; | ||
/** | ||
@@ -28,0 +29,0 @@ * Tools for interacting with the user |
import type { Promisable } from 'type-fest'; | ||
import type { ModelVariant } from '../types/ModelRequirements'; | ||
import type { Prompt } from '../types/Prompt'; | ||
import type { string_markdown } from '../types/typeAliases'; | ||
import type { string_markdown_text } from '../types/typeAliases'; | ||
import type { string_model_name } from '../types/typeAliases'; | ||
@@ -8,2 +10,3 @@ import type { string_title } from '../types/typeAliases'; | ||
import type { PromptCompletionResult } from './PromptResult'; | ||
import type { PromptEmbeddingResult } from './PromptResult'; | ||
/** | ||
@@ -18,10 +21,26 @@ * Container for all the tools needed to execute prompts to large language models like GPT-4 | ||
/** | ||
* Use a chat model | ||
* Title of the model provider | ||
* | ||
* @example "OpenAI" | ||
*/ | ||
callChatModel(prompt: Prompt): Promise<PromptChatResult>; | ||
readonly title: string_title & string_markdown_text; | ||
/** | ||
* Use a completion model | ||
* Description of the provider | ||
* | ||
* @example "Use all models from OpenAI" | ||
*/ | ||
callCompletionModel(prompt: Prompt): Promise<PromptCompletionResult>; | ||
readonly description: string_markdown; | ||
/** | ||
* Calls a chat model | ||
*/ | ||
callChatModel?(prompt: Prompt): Promise<PromptChatResult>; | ||
/** | ||
* Calls a completion model | ||
*/ | ||
callCompletionModel?(prompt: Prompt): Promise<PromptCompletionResult>; | ||
/** | ||
* Calls an embedding model | ||
*/ | ||
callEmbeddingModel?(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* List all available models that can be used | ||
@@ -49,6 +68,6 @@ */ | ||
/** | ||
* TODO: !!!! Translation model | ||
* TODO: [🧠] Emulation of one type of model with another one - emuate chat with completion; emulate translation with chat | ||
* TODO: [🍓][♐] Some heuristic to pick the best model in listed models | ||
* TODO: [🏳] callChatModel -> chat, callCompletionModel -> complete, translate | ||
* TODO: [🧠] Should or should not there be a word "GPT" in both callCompletionModel and callChatModel | ||
*/ |
import type { KebabCase } from 'type-fest'; | ||
import type { ExpectationUnit } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationUnit } from '../types/PipelineJson/Expectations'; | ||
import type { number_positive } from '../types/typeAliases'; | ||
@@ -14,3 +14,3 @@ import type { number_usd } from '../types/typeAliases'; | ||
*/ | ||
export type PromptResult = PromptCompletionResult | PromptChatResult; | ||
export type PromptResult = PromptCompletionResult | PromptChatResult | PromptEmbeddingResult; | ||
/** | ||
@@ -17,0 +17,0 @@ * Prompt completion result |
@@ -5,4 +5,4 @@ /** | ||
* @returns | ||
* @throws {ExecutionError} | ||
* @throws {PipelineExecutionError} | ||
*/ | ||
export declare function extractMultiplicatedOccurrence(message: string): string; |
@@ -1,2 +0,2 @@ | ||
import type { Expectations } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Function checkExpectations will check if the expectations on given value are met |
@@ -9,3 +9,3 @@ import type { Parameters } from '../../types/Parameters'; | ||
* @returns the template with replaced parameters | ||
* @throws {TemplateError} if parameter is not defined, not closed, or not opened | ||
* @throws {PipelineExecutionError} if parameter is not defined, not closed, or not opened | ||
* | ||
@@ -12,0 +12,0 @@ * @private within the createPipelineExecutor |
@@ -11,2 +11,4 @@ import type { LlmExecutionTools } from '../../../execution/LlmExecutionTools'; | ||
* The LLM tools to use for the conversion and extraction of knowledge | ||
* | ||
* Note: If you want to use multiple LLMs, you can use `joinLlmExecutionTools` to join them first | ||
*/ | ||
@@ -23,1 +25,4 @@ llmTools: LlmExecutionTools; | ||
export {}; | ||
/** | ||
* 11:11 | ||
*/ |
@@ -17,2 +17,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
/** | ||
* Note: [🤖] Add models of new variant | ||
* TODO: !!!! Add embedding models OR Anthropic has only chat+completion models? | ||
@@ -19,0 +20,0 @@ * TODO: [🧠] Some mechanism to propagate unsureness |
import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools'; | ||
import type { PromptChatResult } from '../../execution/PromptResult'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { AnthropicClaudeExecutionToolsOptions } from './AnthropicClaudeExecutionToolsOptions'; | ||
@@ -22,2 +24,4 @@ /** | ||
constructor(options?: AnthropicClaudeExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -28,6 +32,2 @@ * Calls Anthropic Claude API to use a chat model. | ||
/** | ||
* Calls Anthropic Claude API to use a complete model. | ||
*/ | ||
callCompletionModel(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>; | ||
/** | ||
* Get the model that should be used as default | ||
@@ -34,0 +34,0 @@ */ |
@@ -6,2 +6,5 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { AzureOpenAiExecutionToolsOptions } from './AzureOpenAiExecutionToolsOptions'; | ||
@@ -23,2 +26,4 @@ /** | ||
constructor(options: AzureOpenAiExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -25,0 +30,0 @@ * Calls OpenAI API to use a chat model. |
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import { OpenAiExecutionTools } from '../openai/OpenAiExecutionTools'; | ||
@@ -7,2 +10,4 @@ /** | ||
export declare class LangtailExecutionTools extends OpenAiExecutionTools implements LlmExecutionTools { | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
} |
import type { PostprocessingFunction } from '../../scripting/javascript/JavascriptExecutionToolsOptions'; | ||
import type { Expectations } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -4,0 +4,0 @@ * Gets the expectations and creates a fake text that meets the expectations |
@@ -7,2 +7,5 @@ import type { CommonExecutionToolsOptions } from '../../execution/CommonExecutionToolsOptions'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
@@ -14,2 +17,4 @@ * Mocked execution Tools for just echoing the requests for testing purposes. | ||
constructor(options?: CommonExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -16,0 +21,0 @@ * Mocks chat model |
@@ -6,3 +6,7 @@ import type { CommonExecutionToolsOptions } from '../../execution/CommonExecutionToolsOptions'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
@@ -14,2 +18,4 @@ * Mocked execution Tools for just faking expected responses for testing purposes | ||
constructor(options?: CommonExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -24,2 +30,6 @@ * Fakes chat model | ||
/** | ||
* Fakes embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptEmbeddingResult>; | ||
/** | ||
* List all available fake-models that can be used | ||
@@ -26,0 +36,0 @@ */ |
@@ -5,7 +5,11 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
* Multiple LLM Execution Tools is a proxy server that uses multiple execution tools internally and exposes the executor interface externally. | ||
* | ||
* @see https://github.com/webgptorg/promptbook#multiple-server | ||
* @private Internal utility of `joinLlmExecutionTools` | ||
*/ | ||
@@ -21,2 +25,4 @@ export declare class MultipleLlmExecutionTools implements LlmExecutionTools { | ||
constructor(...llmExecutionTools: Array<LlmExecutionTools>); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -31,2 +37,6 @@ * Calls the best available chat model | ||
/** | ||
* Calls the best available embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* Calls the best available model | ||
@@ -41,1 +51,4 @@ */ | ||
} | ||
/** | ||
* TODO: [🧠][🎛] Aggregating multiple models - have result not only from one first aviable model BUT all of them | ||
*/ |
@@ -10,3 +10,3 @@ import type OpenAI from 'openai'; | ||
* @param rawResponse The raw response from OpenAI API | ||
* @throws {ExecutionError} If the usage is not defined in the response from OpenAI | ||
* @throws {PipelineExecutionError} If the usage is not defined in the response from OpenAI | ||
* @private internal util of `OpenAiExecutionTools` | ||
@@ -13,0 +13,0 @@ */ |
@@ -18,2 +18,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
/** | ||
* Note: [🤖] Add models of new variant | ||
* TODO: [🧠] Some mechanism to propagate unsureness | ||
@@ -20,0 +21,0 @@ * TODO: [🕚][👮♀️] Make this list dynamic - dynamically can be listed modelNames but not modelVariant, legacy status, context length and pricing |
@@ -7,2 +7,5 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { OpenAiExecutionToolsOptions } from './OpenAiExecutionToolsOptions'; | ||
@@ -24,2 +27,4 @@ /** | ||
constructor(options?: OpenAiExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -36,3 +41,3 @@ * Calls OpenAI API to use a chat model. | ||
*/ | ||
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>; | ||
callEmbeddingModel(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>; | ||
/** | ||
@@ -39,0 +44,0 @@ * Get the model that should be used as default |
@@ -5,3 +5,7 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { RemoteLlmExecutionToolsOptions } from './RemoteLlmExecutionToolsOptions'; | ||
@@ -19,2 +23,4 @@ /** | ||
constructor(options: RemoteLlmExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -25,12 +31,16 @@ * Creates a connection to the remote proxy server. | ||
/** | ||
* Calls remote proxy server to use a chat model. | ||
* Calls remote proxy server to use a chat model | ||
*/ | ||
callChatModel(prompt: Prompt): Promise<PromptChatResult>; | ||
/** | ||
* Calls remote proxy server to use a completion model. | ||
* Calls remote proxy server to use a completion model | ||
*/ | ||
callCompletionModel(prompt: Prompt): Promise<PromptCompletionResult>; | ||
/** | ||
* Calls remote proxy server to use both completion or chat model. | ||
* Calls remote proxy server to use a embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* Calls remote proxy server to use both completion or chat model | ||
*/ | ||
private callModelCommon; | ||
@@ -37,0 +47,0 @@ /** |
@@ -18,2 +18,3 @@ import type { IDestroyable } from 'destroyable'; | ||
* TODO: [🃏] Pass here some security token to prevent malitious usage and/or DDoS | ||
* TODO: [0] Set unavailable models as undefined in `RemoteLlmExecutionTools` NOT throw error here | ||
*/ |
@@ -0,1 +1,2 @@ | ||
import type { really_any } from '../../../types/typeAliases'; | ||
/** | ||
@@ -8,5 +9,5 @@ * Does nothing, but preserves the function in the bundle | ||
*/ | ||
export declare function preserve(func: (...params: Array<any>) => unknown): void; | ||
export declare function preserve(func: (...params: Array<really_any>) => unknown): void; | ||
/** | ||
* TODO: !! [1] This maybe does memory leak | ||
*/ |
@@ -5,3 +5,3 @@ import type { PromptResult } from '../../execution/PromptResult'; | ||
import type { string_pipeline_url } from '../typeAliases'; | ||
import type { string_version } from '../typeAliases'; | ||
import type { string_semantic_version } from '../typeAliases'; | ||
/** | ||
@@ -29,7 +29,7 @@ * ExecutionReport is result of executing one promptbook | ||
*/ | ||
readonly promptbookUsedVersion: string_version; | ||
readonly promptbookUsedVersion: string_semantic_version; | ||
/** | ||
* Version from promptbook which was requested by promptbook | ||
*/ | ||
readonly promptbookRequestedVersion?: string_version; | ||
readonly promptbookRequestedVersion?: string_semantic_version; | ||
/** | ||
@@ -36,0 +36,0 @@ * Description of the promptbook which was executed |
@@ -0,4 +1,5 @@ | ||
import type { string_file_path } from '../typeAliases'; | ||
import type { string_markdown_text } from '../typeAliases'; | ||
import type { string_pipeline_url } from '../typeAliases'; | ||
import type { string_version } from '../typeAliases'; | ||
import type { string_semantic_version } from '../typeAliases'; | ||
import type { KnowledgeJson } from './KnowledgeJson'; | ||
@@ -25,2 +26,6 @@ import type { PromptTemplateJson } from './PromptTemplateJson'; | ||
/** | ||
* Internal helper for tracking the source `.ptbk.md` file of the pipeline | ||
*/ | ||
readonly sourceFile?: string_file_path; | ||
/** | ||
* Title of the promptbook | ||
@@ -33,3 +38,3 @@ * -It can use simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly promptbookVersion: string_version; | ||
readonly promptbookVersion: string_semantic_version; | ||
/** | ||
@@ -54,2 +59,3 @@ * Description of the promptbook | ||
/** | ||
* TODO: !!!!! Implement new commands | ||
* Note: There was a proposal for multiple types of promptbook objects 78816ff33e2705ee1a187aa2eb8affd976d4ea1a | ||
@@ -56,0 +62,0 @@ * But then immediately reverted back to the single type |
@@ -1,145 +0,9 @@ | ||
import type { ExpectFormatCommand } from '../Command'; | ||
import type { ExecutionType } from '../ExecutionTypes'; | ||
import type { ModelRequirements } from '../ModelRequirements'; | ||
import type { ScriptLanguage } from '../ScriptLanguage'; | ||
import type { number_integer } from '../typeAliases'; | ||
import type { number_positive } from '../typeAliases'; | ||
import type { string_javascript } from '../typeAliases'; | ||
import type { string_javascript_name } from '../typeAliases'; | ||
import type { string_markdown } from '../typeAliases'; | ||
import type { string_markdown_text } from '../typeAliases'; | ||
import type { string_name } from '../typeAliases'; | ||
import type { string_prompt } from '../typeAliases'; | ||
import type { string_template } from '../typeAliases'; | ||
import type { ___ } from '../typeAliases'; | ||
import type { LlmTemplateJson } from './LlmTemplateJson'; | ||
import type { PromptDialogJson } from './PromptDialogJson'; | ||
import type { ScriptJson } from './ScriptJson'; | ||
import type { SimpleTemplateJson } from './SimpleTemplateJson'; | ||
/** | ||
* Describes one prompt template in the promptbook | ||
*/ | ||
export type PromptTemplateJson = LlmTemplateJson | SimpleTemplateJson | ScriptJson | PromptDialogJson; | ||
/** | ||
* Template for prompt to LLM | ||
*/ | ||
export type LlmTemplateJson = PromptTemplateJsonCommon & { | ||
readonly executionType: 'PROMPT_TEMPLATE'; | ||
/** | ||
* Requirements for the model | ||
* - This is required only for executionType PROMPT_TEMPLATE | ||
*/ | ||
readonly modelRequirements: ModelRequirements; | ||
}; | ||
/** | ||
* Expect this amount of each unit in the answer | ||
* | ||
* For example 5 words, 3 sentences, 2 paragraphs, ... | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
*/ | ||
export type Expectations = Partial<Record<Lowercase<ExpectationUnit>, { | ||
min?: ExpectationAmount; | ||
max?: ExpectationAmount; | ||
}>>; | ||
/** | ||
* Units of text measurement | ||
*/ | ||
export declare const EXPECTATION_UNITS: readonly ["CHARACTERS", "WORDS", "SENTENCES", "LINES", "PARAGRAPHS", "PAGES"]; | ||
/** | ||
* Unit of text measurement | ||
*/ | ||
export type ExpectationUnit = typeof EXPECTATION_UNITS[number]; | ||
/** | ||
* Amount of text measurement | ||
*/ | ||
export type ExpectationAmount = number_integer & (number_positive | 0); | ||
/** | ||
* Template for simple concatenation of strings | ||
*/ | ||
export interface SimpleTemplateJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'SIMPLE_TEMPLATE'; | ||
} | ||
/** | ||
* Template for script execution | ||
*/ | ||
export interface ScriptJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'SCRIPT'; | ||
/** | ||
* Language of the script | ||
* - This is required only for executionType SCRIPT | ||
* | ||
*/ | ||
readonly contentLanguage?: ScriptLanguage; | ||
} | ||
/** | ||
* Template for prompt to user | ||
*/ | ||
export interface PromptDialogJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'PROMPT_DIALOG'; | ||
} | ||
/** | ||
* Common properties of all prompt templates | ||
*/ | ||
interface PromptTemplateJsonCommon { | ||
/** | ||
* Name of the template | ||
* - It must be unique across the pipeline | ||
* - It should start uppercase and contain letters and numbers | ||
* - The pipelineUrl together with hash and name are used to identify the prompt template in the pipeline | ||
*/ | ||
readonly name: string_name; | ||
/** | ||
* Title of the prompt template | ||
* It can use simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly title: string; | ||
/** | ||
* Description of the prompt template | ||
* It can use multiple paragraphs of simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly description?: string_markdown_text; | ||
/** | ||
* List of parameter names that are used in the prompt template and must be defined before the prompt template is executed | ||
* | ||
* Note: Joker is one of the dependent parameters | ||
*/ | ||
readonly dependentParameterNames: Array<string_name>; | ||
/** | ||
* If theese parameters meet the expectations requirements, they are used instead of executing this prompt template | ||
*/ | ||
readonly jokers?: Array<string>; | ||
/** | ||
* Type of the execution | ||
* This determines if the prompt template is send to LLM, user or some scripting evaluation | ||
*/ | ||
readonly executionType: ExecutionType; | ||
/** | ||
* Content of the template with {placeholders} for parameters | ||
*/ | ||
readonly content: (string_prompt | string_javascript | string_markdown) & string_template; | ||
/** | ||
* List of postprocessing steps that are executed after the prompt template | ||
*/ | ||
readonly postprocessing?: Array<string_javascript_name>; | ||
/** | ||
* Expect this amount of each unit in the answer | ||
* | ||
* For example 5 words, 3 sentences, 2 paragraphs, ... | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
*/ | ||
readonly expectations?: Expectations; | ||
/** | ||
* Expect this format of the answer | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
* @deprecated [💝] | ||
*/ | ||
readonly expectFormat?: ExpectFormatCommand['format']; | ||
/** | ||
* Name of the parameter that is the result of the prompt template | ||
*/ | ||
readonly resultingParameterName: string_name; | ||
} | ||
export {}; | ||
/** | ||
* TODO: [💝] Unite object for expecting amount and format - remove expectFormat | ||
* TODO: use one helper type> (string_prompt | string_javascript | string_markdown) & string_template | ||
* TODO: [👙][🧠] Just selecting gpt3 or gpt4 level of model | ||
*/ | ||
export type PromptTemplateJson = LlmTemplateJson | SimpleTemplateJson | ScriptJson | PromptDialogJson | ___ | ___ | ___ | ___; |
@@ -0,5 +1,5 @@ | ||
import type { ExpectFormatCommand } from '../commands/EXPECT/ExpectFormatCommand'; | ||
import type { PostprocessingFunction } from '../scripting/javascript/JavascriptExecutionToolsOptions'; | ||
import type { ExpectFormatCommand } from './Command'; | ||
import type { ModelRequirements } from './ModelRequirements'; | ||
import type { Expectations } from './PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from './PipelineJson/Expectations'; | ||
import type { string_name } from './typeAliases'; | ||
@@ -55,3 +55,3 @@ import type { string_pipeline_url_with_hashtemplate } from './typeAliases'; | ||
*/ | ||
readonly pipelineUrl: string_pipeline_url_with_hashtemplate; | ||
readonly pipelineUrl?: string_pipeline_url_with_hashtemplate; | ||
/** | ||
@@ -58,0 +58,0 @@ * Parameters used in the prompt |
@@ -1,2 +0,2 @@ | ||
import type { ExecutionType } from './ExecutionTypes'; | ||
import type { BlockType } from '../commands/BLOCK/BlockTypes'; | ||
import type { string_markdown_text } from './typeAliases'; | ||
@@ -34,3 +34,3 @@ import type { string_name } from './typeAliases'; | ||
*/ | ||
readonly executionType: ExecutionType; | ||
readonly blockType: BlockType; | ||
/** | ||
@@ -37,0 +37,0 @@ * The parameter name that is being processed. |
@@ -107,4 +107,17 @@ /** | ||
* | ||
* Markdown text with exactly ONE heading on first line NO less NO more | ||
*/ | ||
export type string_markdown_section = string; | ||
/** | ||
* Semantic helper | ||
* | ||
* Markdown without any headings like h1, h2 | ||
* BUT with formatting, lists, blockquotes, blocks, etc. is allowed | ||
*/ | ||
export type string_markdown_section_content = string; | ||
/** | ||
* Semantic helper | ||
* | ||
* Markdown text without any structure like h1, h2, lists, blockquotes, blocks, etc. | ||
* BUT with bold, italic, etc. | ||
* BUT with bold, italic, etc. is allowed | ||
* | ||
@@ -236,6 +249,2 @@ * For example `"**Hello** World!"` | ||
* Semantic helper | ||
*/ | ||
export type string_protocol = 'http:' | 'https:'; | ||
/** | ||
* Semantic helper | ||
* | ||
@@ -253,2 +262,6 @@ * For example `"localhost"` or `"collboard.com"` | ||
* Semantic helper | ||
*/ | ||
export type string_protocol = 'http:' | 'https:'; | ||
/** | ||
* Semantic helper | ||
* | ||
@@ -259,2 +272,21 @@ * For example `"pavol@hejny.org"` | ||
/** | ||
* Semantic helper | ||
* | ||
* For example `"pavol@hejny.org, jirka@webgpt.cz"` | ||
*/ | ||
export type string_emails = string; | ||
/** | ||
* Branded type for UUIDs version 4 | ||
* This will not allow to pass some random string where should be only a valid UUID | ||
* | ||
* Use utils: | ||
* - `randomUuid` to generate | ||
* - `isValidUuid to check validity | ||
* | ||
* For example `"5a0a153d-7be9-4018-9eda-e0e2e2b89bd9"` | ||
*/ | ||
export type string_uuid = string & { | ||
readonly _type: 'uuid'; | ||
}; | ||
/** | ||
* Branded type client id | ||
@@ -276,3 +308,3 @@ */ | ||
*/ | ||
export type string_version = string; | ||
export type string_semantic_version = string; | ||
/** | ||
@@ -439,4 +471,16 @@ * Semantic helper | ||
/** | ||
* Formatting helper to put void to keep longer version of prettier | ||
*/ | ||
export type ___ = never; | ||
/** | ||
* Organizational helper to better mark the place where the type is missing | ||
*/ | ||
export type TODO = any; | ||
/** | ||
* Organizational helper to mark a place where to really use any | ||
*/ | ||
export type really_any = any; | ||
/** | ||
* TODO: !! Cleanup | ||
* TODO: !! Change to branded types | ||
*/ |
@@ -21,3 +21,4 @@ import type { string_char_emoji } from '../types/typeAliasEmoji'; | ||
/** | ||
* TODO: [💴] DRY - just one version of emojis.ts | ||
* TODO: Mirror from Collboard or some common package | ||
*/ |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of characters in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of lines in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of pages in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of paragraphs in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Split text into sentences |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of words in the text |
@@ -1,3 +0,3 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationUnit } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
import type { ExpectationUnit } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -4,0 +4,0 @@ * Index of all counter functions |
@@ -7,3 +7,4 @@ import type { string_html } from '../../types/typeAliases'; | ||
* @returns formatted html code | ||
* @private withing the package because of HUGE size of prettier dependency | ||
*/ | ||
export declare function prettifyMarkdown<TContent extends string_html>(content: TContent): TContent; |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeToKebabCase(sentence: string): string; | ||
/** | ||
* Semantic helper for kebab-case strings | ||
* | ||
* @example 'hello-world' | ||
* @example 'i-love-promptbook' | ||
*/ | ||
export type string_kebab_case = string; | ||
export declare function normalizeToKebabCase(text: string): string_kebab_case; |
@@ -1,4 +0,11 @@ | ||
export declare function normalizeTo_camelCase(sentence: string, __firstLetterCapital?: boolean): string; | ||
/** | ||
* Semantic helper for camelCase strings | ||
* | ||
* @example 'helloWorld' | ||
* @example 'iLovePromptbook' | ||
*/ | ||
export type string_camelCase = string; | ||
export declare function normalizeTo_camelCase(text: string, _isFirstLetterCapital?: boolean): string_camelCase; | ||
/** | ||
* TODO: [🌺] Use some intermediate util splitWords | ||
*/ |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeTo_PascalCase(sentence: string): string; | ||
/** | ||
* Semantic helper for PascalCase strings | ||
* | ||
* @example 'HelloWorld' | ||
* @example 'ILovePromptbook' | ||
*/ | ||
export type string_PascalCase = string; | ||
export declare function normalizeTo_PascalCase(text: string): string_PascalCase; |
@@ -1,4 +0,16 @@ | ||
export declare function normalizeTo_SCREAMING_CASE(sentence: string): string; | ||
/** | ||
* Semantic helper for SCREAMING_CASE strings | ||
* | ||
* @example 'HELLO_WORLD' | ||
* @example 'I_LOVE_PROMPTBOOK' | ||
*/ | ||
export type string_SCREAMING_CASE = string; | ||
export declare function normalizeTo_SCREAMING_CASE(text: string): string_SCREAMING_CASE; | ||
/** | ||
* TODO: Tests | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: 'Moje tabule' })).toEqual('/VtG7sR9rRJqwNEdM2/Moje tabule'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: 'ěščřžžýáíúů' })).toEqual('/VtG7sR9rRJqwNEdM2/escrzyaieuu'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: ' ahoj ' })).toEqual('/VtG7sR9rRJqwNEdM2/ahoj'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: ' ahoj_ahojAhoj ahoj ' })).toEqual('/VtG7sR9rRJqwNEdM2/ahoj-ahoj-ahoj-ahoj'); | ||
* TODO: [🌺] Use some intermediate util splitWords | ||
*/ |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeTo_snake_case(sentence: string): string; | ||
/** | ||
* Semantic helper for snake_case strings | ||
* | ||
* @example 'hello_world' | ||
* @example 'i_love_promptbook' | ||
*/ | ||
export type string_snake_case = string; | ||
export declare function normalizeTo_snake_case(text: string): string_snake_case; |
/** | ||
* Create difference set of two sets. | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function difference<TItem>(a: Set<TItem>, b: Set<TItem>, isEqual?: (a: TItem, b: TItem) => boolean): Set<TItem>; |
/** | ||
* Creates a new set with all elements that are present in all sets | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function intersection<TItem>(...sets: Array<Set<TItem>>): Set<TItem>; |
/** | ||
* Creates a new set with all elements that are present in either set | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function union<TItem>(...sets: Array<Set<TItem>>): Set<TItem>; |
@@ -6,3 +6,6 @@ import type { string_url } from '../../../types/typeAliases'; | ||
* Note: Dataurl are considered perfectly valid. | ||
* Note: There are two simmilar functions: | ||
* - `isValidUrl` which tests any URL | ||
* - `isValidPipelineUrl` *(this one)* which tests just promptbook URL | ||
*/ | ||
export declare function isValidUrl(url: unknown): url is string_url; |
@@ -1,5 +0,6 @@ | ||
import type { string_version } from './types/typeAliases'; | ||
import type { string_semantic_version } from './types/typeAliases'; | ||
/** | ||
* The version of the Promptbook library | ||
*/ | ||
export declare const PROMPTBOOK_VERSION: string_version; | ||
export declare const PROMPTBOOK_VERSION: string_promptbook_version; | ||
export type string_promptbook_version = string_semantic_version; |
{ | ||
"name": "@promptbook/node", | ||
"version": "0.60.1", | ||
"version": "0.61.0-0", | ||
"description": "Supercharge your use of large language models", | ||
@@ -52,3 +52,3 @@ "private": false, | ||
"peerDependencies": { | ||
"@promptbook/core": "0.60.1" | ||
"@promptbook/core": "0.61.0-0" | ||
}, | ||
@@ -55,0 +55,0 @@ "main": "./umd/index.umd.js", |
@@ -323,2 +323,3 @@ # ![Promptbook logo - cube with letters P and B](./other/design/logo-h1.png) Promptbook | ||
- ⭐ **[@promptbook/utils](https://www.npmjs.com/package/@promptbook/utils)** - Utility functions used in the library but also useful for individual use in preprocessing and postprocessing LLM inputs and outputs | ||
- **[@promptbook/markdown-utils](https://www.npmjs.com/package/@promptbook/markdown-utils)** - Utility functions used for processing markdown | ||
- _(Not finished)_ **[@promptbook/wizzard](https://www.npmjs.com/package/@promptbook/wizzard)** - Wizard for creating+running promptbooks in single line | ||
@@ -397,3 +398,3 @@ - **[@promptbook/execute-javascript](https://www.npmjs.com/package/@promptbook/execute-javascript)** - Execution tools for javascript inside promptbooks | ||
### Execution type | ||
### Block type | ||
@@ -487,5 +488,4 @@ Each block of promptbook can have a different execution type. | ||
- _(Not implemented yet)_ `GpuExecutionTools` | ||
- And a special case are `MultipleLlmExecutionTools` that combines multiple execution tools together and tries to execute the prompt on the best one. | ||
- Another special case are `RemoteLlmExecutionTools` that connect to a remote server and run one of the above execution tools on that server. | ||
- The another special case is `MockedEchoLlmExecutionTools` that is used for testing and mocking. | ||
- Special case are `RemoteLlmExecutionTools` that connect to a remote server and run one of the above execution tools on that server. | ||
- Another special case is `MockedEchoLlmExecutionTools` that is used for testing and mocking. | ||
- The another special case is `LogLlmExecutionToolsWrapper` that is technically also an execution tools but it is more proxy wrapper around other execution tools that logs all calls to execution tools. | ||
@@ -578,4 +578,2 @@ | ||
### Execution report | ||
@@ -582,0 +580,0 @@ |
@@ -1,2 +0,2 @@ | ||
declare const _default: { | ||
declare const _default: ({ | ||
title: string; | ||
@@ -15,3 +15,3 @@ pipelineUrl: string; | ||
dependentParameterNames: string[]; | ||
executionType: string; | ||
blockType: string; | ||
modelRequirements: { | ||
@@ -24,4 +24,61 @@ modelVariant: string; | ||
}[]; | ||
knowledge: never[]; | ||
}[]; | ||
knowledge: { | ||
name: string; | ||
title: string; | ||
content: string; | ||
keywords: string[]; | ||
index: { | ||
modelName: string; | ||
position: number[]; | ||
}[]; | ||
sources: { | ||
title: string; | ||
href: string; | ||
}[]; | ||
}[]; | ||
sourceFile: string; | ||
} | { | ||
title: string; | ||
pipelineUrl: string; | ||
promptbookVersion: string; | ||
parameters: { | ||
name: string; | ||
description: string; | ||
isInput: boolean; | ||
isOutput: boolean; | ||
}[]; | ||
promptTemplates: { | ||
name: string; | ||
title: string; | ||
dependentParameterNames: string[]; | ||
blockType: string; | ||
expectations: { | ||
words: { | ||
min: number; | ||
max: number; | ||
}; | ||
}; | ||
modelRequirements: { | ||
modelVariant: string; | ||
modelName: string; | ||
}; | ||
content: string; | ||
resultingParameterName: string; | ||
}[]; | ||
knowledge: { | ||
name: string; | ||
title: string; | ||
content: string; | ||
keywords: string[]; | ||
index: { | ||
modelName: string; | ||
position: number[]; | ||
}[]; | ||
sources: { | ||
title: string; | ||
href: string; | ||
}[]; | ||
}[]; | ||
sourceFile: string; | ||
})[]; | ||
export default _default; |
@@ -6,2 +6,4 @@ import { collectionToJson } from '../collection/collectionToJson'; | ||
import { createSubcollection } from '../collection/constructors/createSubcollection'; | ||
import { BlockTypes } from '../commands/BLOCK/BlockTypes'; | ||
import { RESERVED_PARAMETER_NAMES } from '../config'; | ||
import { pipelineJsonToString } from '../conversion/pipelineJsonToString'; | ||
@@ -13,8 +15,7 @@ import { pipelineStringToJson } from '../conversion/pipelineStringToJson'; | ||
import { CollectionError } from '../errors/CollectionError'; | ||
import { ExecutionError } from '../errors/ExecutionError'; | ||
import { NotFoundError } from '../errors/NotFoundError'; | ||
import { ParsingError } from '../errors/ParsingError'; | ||
import { PipelineExecutionError } from '../errors/PipelineExecutionError'; | ||
import { PipelineLogicError } from '../errors/PipelineLogicError'; | ||
import { ReferenceError } from '../errors/ReferenceError'; | ||
import { SyntaxError } from '../errors/SyntaxError'; | ||
import { TemplateError } from '../errors/TemplateError'; | ||
import { UnexpectedError } from '../errors/UnexpectedError'; | ||
@@ -32,4 +33,3 @@ import { ExpectError } from '../errors/_ExpectError'; | ||
import { prepareKnowledgeFromMarkdown } from '../knowledge/prepare-knowledge/markdown/prepareKnowledgeFromMarkdown'; | ||
import { MultipleLlmExecutionTools } from '../llm-providers/multiple/MultipleLlmExecutionTools'; | ||
import { ExecutionTypes } from '../types/ExecutionTypes'; | ||
import { joinLlmExecutionTools } from '../llm-providers/multiple/joinLlmExecutionTools'; | ||
import type { ExecutionReportStringOptions } from '../types/execution-report/ExecutionReportStringOptions'; | ||
@@ -40,3 +40,3 @@ import { ExecutionReportStringOptionsDefaults } from '../types/execution-report/ExecutionReportStringOptions'; | ||
export { PROMPTBOOK_VERSION }; | ||
export { ExecutionTypes }; | ||
export { BlockTypes, RESERVED_PARAMETER_NAMES }; | ||
export { addUsage, assertsExecutionSuccessful, checkExpectations, embeddingVectorToString, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPipelineString, usageToWorktime, }; | ||
@@ -46,4 +46,4 @@ export { collectionToJson, createCollectionFromJson, createCollectionFromPromise, createCollectionFromUrl, createSubcollection, }; | ||
export { pipelineJsonToString, pipelineStringToJson, pipelineStringToJsonSync, validatePipeline }; | ||
export { createPipelineExecutor, MultipleLlmExecutionTools }; | ||
export { createPipelineExecutor, joinLlmExecutionTools }; | ||
export { CallbackInterfaceTools, CallbackInterfaceToolsOptions }; | ||
export { CollectionError, ExecutionError, ExpectError, NotFoundError, PipelineLogicError, ReferenceError, SyntaxError, TemplateError, UnexpectedError, }; | ||
export { CollectionError, ExpectError, NotFoundError, ParsingError, PipelineExecutionError, PipelineLogicError, ReferenceError, UnexpectedError, }; |
import type { PipelineCollection } from '../collection/PipelineCollection'; | ||
import type { BlockType } from '../commands/BLOCK/BlockTypes'; | ||
import type { CommonExecutionToolsOptions } from '../execution/CommonExecutionToolsOptions'; | ||
@@ -10,11 +11,15 @@ import { EmbeddingVector } from '../execution/EmbeddingVector'; | ||
import type { UserInterfaceTools, UserInterfaceToolsPromptDialogOptions } from '../execution/UserInterfaceTools'; | ||
import type { ExecutionType } from '../types/ExecutionTypes'; | ||
import type { ModelRequirements, ModelVariant } from '../types/ModelRequirements'; | ||
import type { Parameters } from '../types/Parameters'; | ||
import type { ExpectationAmount, ExpectationUnit, Expectations } from '../types/PipelineJson/Expectations'; | ||
import { EXPECTATION_UNITS } from '../types/PipelineJson/Expectations'; | ||
import { KnowledgeJson } from '../types/PipelineJson/KnowledgeJson'; | ||
import type { LlmTemplateJson } from '../types/PipelineJson/LlmTemplateJson'; | ||
import { MaterialKnowledgePieceJson } from '../types/PipelineJson/MaterialKnowledgePieceJson'; | ||
import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
import type { ExpectationAmount, ExpectationUnit, Expectations, LlmTemplateJson, PromptDialogJson, PromptTemplateJson, ScriptJson, SimpleTemplateJson } from '../types/PipelineJson/PromptTemplateJson'; | ||
import { EXPECTATION_UNITS } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { PromptDialogJson } from '../types/PipelineJson/PromptDialogJson'; | ||
import type { PromptTemplateJson } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { PromptTemplateParameterJson } from '../types/PipelineJson/PromptTemplateParameterJson'; | ||
import type { ScriptJson } from '../types/PipelineJson/ScriptJson'; | ||
import type { SimpleTemplateJson } from '../types/PipelineJson/SimpleTemplateJson'; | ||
import type { PipelineString } from '../types/PipelineString'; | ||
@@ -26,10 +31,10 @@ import type { Prompt } from '../types/Prompt'; | ||
import type { string_char_emoji } from '../types/typeAliasEmoji'; | ||
import type { client_id, string_char, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_version } from '../types/typeAliases'; | ||
import type { client_id, string_char, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_emails, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_semantic_version, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_uuid } from '../types/typeAliases'; | ||
import type { FromtoItems } from '../utils/FromtoItems'; | ||
import { PROMPTBOOK_VERSION } from '../version'; | ||
import { PROMPTBOOK_VERSION, string_promptbook_version } from '../version'; | ||
export { PROMPTBOOK_VERSION }; | ||
export { EXPECTATION_UNITS }; | ||
export type { AvailableModel, CommonExecutionToolsOptions, EmbeddingVector, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, ExpectationUnit, Expectations, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, PipelineCollection, PipelineExecutor, PipelineJson, PipelineString, Prompt, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptEmbeddingResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, client_id, string_char, string_char_emoji, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_version, }; | ||
export type { AvailableModel, BlockType, CommonExecutionToolsOptions, EmbeddingVector, ExecutionReportJson, ExecutionTools, ExpectationAmount, ExpectationUnit, Expectations, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, PipelineCollection, PipelineExecutor, PipelineJson, PipelineString, Prompt, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptEmbeddingResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, client_id, string_char, string_char_emoji, string_chat_prompt, string_completion_prompt, string_data_url, string_domain, string_email, string_emails, string_file_absolute_path, string_file_extension, string_file_path, string_file_relative_path, string_filename, string_folder_absolute_path, string_folder_path, string_folder_relative_path, string_host, string_hostname, string_href, string_html, string_javascript, string_javascript_name, string_license, string_markdown, string_markdown_text, string_mime_type, string_mime_type_with_wildcard, string_model_name, string_name, string_person_fullname, string_pipeline_url, string_pipeline_url_with_hashtemplate, string_prompt, string_promptbook_version, string_script, string_sha256, string_tdl, string_template, string_text_prompt, string_title, string_token, string_translate_language, string_uri, string_uri_part, string_url, string_url_image, string_uuid, string_semantic_version as string_version, }; | ||
/** | ||
* TODO: Delete type aliases (from ../types/typeAliases) that are not exported here | ||
*/ |
@@ -5,3 +5,2 @@ import { spaceTrim } from 'spacetrim'; | ||
import { extractVariables } from '../conversion/utils/extractVariables'; | ||
import { parseNumber } from '../conversion/utils/parseNumber'; | ||
import { renameParameter } from '../conversion/utils/renameParameter'; | ||
@@ -20,7 +19,2 @@ import { titleToName } from '../conversion/utils/titleToName'; | ||
import { extractParameters } from '../utils/extractParameters'; | ||
import { extractAllBlocksFromMarkdown } from '../utils/markdown/extractAllBlocksFromMarkdown'; | ||
import { extractAllListItemsFromMarkdown } from '../utils/markdown/extractAllListItemsFromMarkdown'; | ||
import { extractOneBlockFromMarkdown } from '../utils/markdown/extractOneBlockFromMarkdown'; | ||
import { removeContentComments } from '../utils/markdown/removeContentComments'; | ||
import { removeMarkdownFormatting } from '../utils/markdown/removeMarkdownFormatting'; | ||
import { DIACRITIC_VARIANTS_LETTERS } from '../utils/normalization/DIACRITIC_VARIANTS_LETTERS'; | ||
@@ -33,7 +27,7 @@ import type { IKeywords, string_keyword } from '../utils/normalization/IKeywords'; | ||
import { nameToUriParts } from '../utils/normalization/nameToUriParts'; | ||
import { normalizeToKebabCase } from '../utils/normalization/normalize-to-kebab-case'; | ||
import { normalizeTo_PascalCase } from '../utils/normalization/normalizeTo_PascalCase'; | ||
import { normalizeTo_SCREAMING_CASE } from '../utils/normalization/normalizeTo_SCREAMING_CASE'; | ||
import { normalizeTo_camelCase } from '../utils/normalization/normalizeTo_camelCase'; | ||
import { normalizeTo_snake_case } from '../utils/normalization/normalizeTo_snake_case'; | ||
import { normalizeToKebabCase, string_kebab_case } from '../utils/normalization/normalize-to-kebab-case'; | ||
import { normalizeTo_PascalCase, string_PascalCase } from '../utils/normalization/normalizeTo_PascalCase'; | ||
import { normalizeTo_SCREAMING_CASE, string_SCREAMING_CASE } from '../utils/normalization/normalizeTo_SCREAMING_CASE'; | ||
import { normalizeTo_camelCase, string_camelCase } from '../utils/normalization/normalizeTo_camelCase'; | ||
import { normalizeTo_snake_case, string_snake_case } from '../utils/normalization/normalizeTo_snake_case'; | ||
import { normalizeWhitespaces } from '../utils/normalization/normalizeWhitespaces'; | ||
@@ -44,2 +38,3 @@ import { parseKeywords } from '../utils/normalization/parseKeywords'; | ||
import { searchKeywords } from '../utils/normalization/searchKeywords'; | ||
import { parseNumber } from '../utils/parseNumber'; | ||
import { extractBlock } from '../utils/postprocessing/extractBlock'; | ||
@@ -54,9 +49,17 @@ import { removeEmojis } from '../utils/removeEmojis'; | ||
import { unwrapResult } from '../utils/unwrapResult'; | ||
import { isValidFilePath } from '../utils/validators/filePath/isValidFilePath'; | ||
import { isValidJavascriptName } from '../utils/validators/javascriptName/isValidJavascriptName'; | ||
import { isValidPromptbookVersion } from '../utils/validators/semanticVersion/isValidPromptbookVersion'; | ||
import { isValidSemanticVersion } from '../utils/validators/semanticVersion/isValidSemanticVersion'; | ||
import { isHostnameOnPrivateNetwork } from '../utils/validators/url/isHostnameOnPrivateNetwork'; | ||
import { isUrlOnPrivateNetwork } from '../utils/validators/url/isUrlOnPrivateNetwork'; | ||
import { isValidPipelineUrl } from '../utils/validators/url/isValidPipelineUrl'; | ||
import { isValidUrl } from '../utils/validators/url/isValidUrl'; | ||
import { isValidUuid } from '../utils/validators/uuid/isValidUuid'; | ||
import { PROMPTBOOK_VERSION } from '../version'; | ||
export { PROMPTBOOK_VERSION, forEachAsync }; | ||
export { extractAllBlocksFromMarkdown, // <- [🌻] | ||
extractAllListItemsFromMarkdown, extractBlock, // <- [🌻] | ||
extractOneBlockFromMarkdown, extractParameters, extractVariables, isValidJsonString, parseNumber, // <- [🌻] | ||
removeContentComments, removeEmojis, removeMarkdownFormatting, removeQuotes, replaceParameters, spaceTrim, trimCodeBlock, trimEndOfCodeBlock, unwrapResult, }; | ||
export { CountUtils, countCharacters, countLines, countPages, countParagraphs, countSentences, countWords }; | ||
export { forEachAsync, PROMPTBOOK_VERSION }; | ||
export { extractBlock, // <- [🌻] + maybe export through `@promptbook/markdown-utils` | ||
extractParameters, extractVariables, isHostnameOnPrivateNetwork, isUrlOnPrivateNetwork, isValidFilePath, isValidJavascriptName, isValidJsonString, isValidPipelineUrl as isValidPipelineUrl, isValidPromptbookVersion, isValidSemanticVersion, isValidUrl, isValidUuid, parseNumber, // <- [🌻] | ||
removeEmojis, removeQuotes, replaceParameters, spaceTrim, trimCodeBlock, trimEndOfCodeBlock, unwrapResult, }; | ||
export { countCharacters, countLines, countPages, countParagraphs, countSentences, CountUtils, countWords }; | ||
export { splitIntoSentences }; | ||
@@ -70,8 +73,9 @@ export declare const normalizeTo: { | ||
}; | ||
export { DIACRITIC_VARIANTS_LETTERS, IKeywords, capitalize, decapitalize, isValidKeyword, nameToUriPart, nameToUriParts, normalizeToKebabCase, normalizeTo_PascalCase, normalizeTo_SCREAMING_CASE, normalizeTo_camelCase, normalizeTo_snake_case, normalizeWhitespaces, parseKeywords, parseKeywordsFromString, removeDiacritics, searchKeywords, string_keyword, titleToName, }; | ||
export { capitalize, decapitalize, DIACRITIC_VARIANTS_LETTERS, IKeywords, isValidKeyword, nameToUriPart, nameToUriParts, normalizeTo_camelCase, normalizeTo_PascalCase, normalizeTo_SCREAMING_CASE, normalizeTo_snake_case, normalizeToKebabCase, normalizeWhitespaces, parseKeywords, parseKeywordsFromString, removeDiacritics, searchKeywords, string_keyword, titleToName, }; | ||
export type { string_camelCase, string_kebab_case, string_PascalCase, string_SCREAMING_CASE, string_snake_case }; | ||
export { extractParametersFromPromptTemplate, renameParameter, renderPromptbookMermaid }; | ||
export { difference, intersection, union }; | ||
/** | ||
* TODO: [🧠] Maybe create some indipendent package like `markdown-tools` from both here exported and @private utilities | ||
* TODO: [🧠] Maybe create some indipendent package like `@promptbook/markdown-utils` | ||
* Note: [🕙] It does not make sence to have simple lower / UPPER case normalization | ||
*/ |
@@ -9,1 +9,4 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
export declare function collectionToJson(collection: PipelineCollection): Promise<Array<PipelineJson>>; | ||
/** | ||
* TODO: [🧠] Maybe clear `sourceFile` or clear when exposing through API or remote server | ||
*/ |
export {}; | ||
/** | ||
* Note: [🐠] For example here URL https://example.com/pipeline.ptbk.md is not valid | ||
* because it is on private network BUT its very hard to debug because | ||
* there is no error message and false return (the error) happen deep in: | ||
* `isValidPipelineUrl` -> `isValidPipelineUrl` -> `isUrlOnPrivateNetwork` | ||
*/ |
@@ -0,1 +1,2 @@ | ||
import type { PipelineStringToJsonOptions } from '../../conversion/pipelineStringToJson'; | ||
import type { string_folder_path } from '../../types/typeAliases'; | ||
@@ -6,3 +7,3 @@ import type { PipelineCollection } from '../PipelineCollection'; | ||
*/ | ||
type CreatePipelineCollectionFromDirectoryOptions = { | ||
type CreatePipelineCollectionFromDirectoryOptions = PipelineStringToJsonOptions & { | ||
/** | ||
@@ -9,0 +10,0 @@ * If true, the directory is searched recursively for promptbooks |
@@ -13,1 +13,5 @@ /** | ||
export declare const PIPELINE_COLLECTION_BASE_FILENAME = "index"; | ||
/** | ||
* The names of the parameters that are reserved for special purposes | ||
*/ | ||
export declare const RESERVED_PARAMETER_NAMES: string[]; |
@@ -11,3 +11,5 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
/** | ||
* TODO: !!!!! Implement new features and commands into `promptTemplateParameterJsonToString` | ||
* TODO: [🧠] Is there a way to auto-detect missing features in pipelineJsonToString | ||
* TODO: Escape all | ||
*/ |
@@ -7,3 +7,3 @@ import type { LlmExecutionTools } from '../execution/LlmExecutionTools'; | ||
*/ | ||
type PipelineStringToJsonOptions = { | ||
export type PipelineStringToJsonOptions = { | ||
/** | ||
@@ -24,3 +24,3 @@ * Tools for processing required for knowledge processing *(not for actual execution)* | ||
* @returns {Promptbook} compiled in JSON format (.ptbk.json) | ||
* @throws {SyntaxError} if the promptbook string is not valid | ||
* @throws {ParsingError} if the promptbook string is not valid | ||
* | ||
@@ -31,5 +31,4 @@ * Note: This function does not validate logic of the pipeline only the syntax | ||
export declare function pipelineStringToJson(pipelineString: PipelineString, options?: PipelineStringToJsonOptions): Promise<PipelineJson>; | ||
export {}; | ||
/** | ||
* TODO: [🏏] Leverage the batch API and build queues @see https://platform.openai.com/docs/guides/batch | ||
*/ |
@@ -13,3 +13,3 @@ import type { PipelineJson } from '../types/PipelineJson/PipelineJson'; | ||
* @returns {Promptbook} compiled in JSON format (.ptbk.json) | ||
* @throws {SyntaxError} if the promptbook string is not valid | ||
* @throws {ParsingError} if the promptbook string is not valid | ||
* | ||
@@ -21,5 +21,7 @@ * Note: This function does not validate logic of the pipeline only the syntax | ||
/** | ||
* TODO: Report here line/column of error | ||
* TODO: !!!! Warn if used only sync version | ||
* TODO: [🚞] Report here line/column of error | ||
* TODO: Use spaceTrim more effectively | ||
* TODO: [🧠] Parameter flags - isInput, isOutput, isInternal | ||
* TODO: [🥞] Not optimal parsing because `splitMarkdownIntoSections` is executed twice with same string, once through `flattenMarkdown` and second directly here | ||
*/ |
@@ -8,7 +8,7 @@ import type { PromptTemplateJson } from '../../types/PipelineJson/PromptTemplateJson'; | ||
* @returns the set of parameter names | ||
* @throws {SyntaxError} if the script is invalid | ||
* @throws {ParsingError} if the script is invalid | ||
*/ | ||
export declare function extractParametersFromPromptTemplate(promptTemplate: Pick<PromptTemplateJson, 'title' | 'description' | 'executionType' | 'content'>): Set<string_name>; | ||
export declare function extractParametersFromPromptTemplate(promptTemplate: Pick<PromptTemplateJson, 'title' | 'description' | 'blockType' | 'content'>): Set<string_name>; | ||
/** | ||
* TODO: [🔣] If script require contentLanguage | ||
*/ |
@@ -8,3 +8,3 @@ import type { string_javascript } from '../../types/typeAliases'; | ||
* @returns the list of variable names | ||
* @throws {SyntaxError} if the script is invalid | ||
* @throws {ParsingError} if the script is invalid | ||
*/ | ||
@@ -11,0 +11,0 @@ export declare function extractVariables(script: string_javascript): Set<string_javascript_name>; |
export {}; | ||
/** | ||
* TODO: Include automatically all samples from logic errors folder (same with syntax errors) | ||
*/ |
/** | ||
* This error occurs when some expectation is not met in the execution of the pipeline | ||
* | ||
* @private Always catched and rethrown as `ExecutionError` | ||
* Note: This is a kindof subtype of ExecutionError | ||
* @private Always catched and rethrown as `PipelineExecutionError` | ||
* Note: This is a kindof subtype of PipelineExecutionError | ||
*/ | ||
@@ -7,0 +7,0 @@ export declare class ExpectError extends Error { |
@@ -6,3 +6,3 @@ import type { PipelineExecutor } from './PipelineExecutor'; | ||
* @param executionResult - The partial result of the promptnook execution | ||
* @throws {ExecutionError} If the execution is not successful or if multiple errors occurred | ||
* @throws {PipelineExecutionError} If the execution is not successful or if multiple errors occurred | ||
*/ | ||
@@ -9,0 +9,0 @@ export declare function assertsExecutionSuccessful(executionResult: Pick<Awaited<ReturnType<PipelineExecutor>>, 'isSuccessful' | 'errors'>): void; |
@@ -0,1 +1,2 @@ | ||
import type { Arrayable } from '../types/Arrayable'; | ||
import type { LlmExecutionTools } from './LlmExecutionTools'; | ||
@@ -13,6 +14,6 @@ import type { ScriptExecutionTools } from './ScriptExecutionTools'; | ||
* | ||
* Tip: Combine multiple LLM execution tools with `MultipleLlmExecutionTools` | ||
* Tip: Combine multiple LLM execution tools - use array of LlmExecutionTools instead of single LlmExecutionTools | ||
* @see https://github.com/webgptorg/promptbook/?tab=readme-ov-file#llm-execution-tools | ||
*/ | ||
llm: LlmExecutionTools; | ||
llm?: Arrayable<LlmExecutionTools>; | ||
/** | ||
@@ -25,3 +26,3 @@ * Tools for executing scripts | ||
*/ | ||
script: Array<ScriptExecutionTools>; | ||
script?: Arrayable<ScriptExecutionTools>; | ||
/** | ||
@@ -28,0 +29,0 @@ * Tools for interacting with the user |
import type { Promisable } from 'type-fest'; | ||
import type { ModelVariant } from '../types/ModelRequirements'; | ||
import type { Prompt } from '../types/Prompt'; | ||
import type { string_markdown } from '../types/typeAliases'; | ||
import type { string_markdown_text } from '../types/typeAliases'; | ||
import type { string_model_name } from '../types/typeAliases'; | ||
@@ -8,2 +10,3 @@ import type { string_title } from '../types/typeAliases'; | ||
import type { PromptCompletionResult } from './PromptResult'; | ||
import type { PromptEmbeddingResult } from './PromptResult'; | ||
/** | ||
@@ -18,10 +21,26 @@ * Container for all the tools needed to execute prompts to large language models like GPT-4 | ||
/** | ||
* Use a chat model | ||
* Title of the model provider | ||
* | ||
* @example "OpenAI" | ||
*/ | ||
callChatModel(prompt: Prompt): Promise<PromptChatResult>; | ||
readonly title: string_title & string_markdown_text; | ||
/** | ||
* Use a completion model | ||
* Description of the provider | ||
* | ||
* @example "Use all models from OpenAI" | ||
*/ | ||
callCompletionModel(prompt: Prompt): Promise<PromptCompletionResult>; | ||
readonly description: string_markdown; | ||
/** | ||
* Calls a chat model | ||
*/ | ||
callChatModel?(prompt: Prompt): Promise<PromptChatResult>; | ||
/** | ||
* Calls a completion model | ||
*/ | ||
callCompletionModel?(prompt: Prompt): Promise<PromptCompletionResult>; | ||
/** | ||
* Calls an embedding model | ||
*/ | ||
callEmbeddingModel?(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* List all available models that can be used | ||
@@ -49,6 +68,6 @@ */ | ||
/** | ||
* TODO: !!!! Translation model | ||
* TODO: [🧠] Emulation of one type of model with another one - emuate chat with completion; emulate translation with chat | ||
* TODO: [🍓][♐] Some heuristic to pick the best model in listed models | ||
* TODO: [🏳] callChatModel -> chat, callCompletionModel -> complete, translate | ||
* TODO: [🧠] Should or should not there be a word "GPT" in both callCompletionModel and callChatModel | ||
*/ |
import type { KebabCase } from 'type-fest'; | ||
import type { ExpectationUnit } from '../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationUnit } from '../types/PipelineJson/Expectations'; | ||
import type { number_positive } from '../types/typeAliases'; | ||
@@ -14,3 +14,3 @@ import type { number_usd } from '../types/typeAliases'; | ||
*/ | ||
export type PromptResult = PromptCompletionResult | PromptChatResult; | ||
export type PromptResult = PromptCompletionResult | PromptChatResult | PromptEmbeddingResult; | ||
/** | ||
@@ -17,0 +17,0 @@ * Prompt completion result |
@@ -5,4 +5,4 @@ /** | ||
* @returns | ||
* @throws {ExecutionError} | ||
* @throws {PipelineExecutionError} | ||
*/ | ||
export declare function extractMultiplicatedOccurrence(message: string): string; |
@@ -1,2 +0,2 @@ | ||
import type { Expectations } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Function checkExpectations will check if the expectations on given value are met |
@@ -9,3 +9,3 @@ import type { Parameters } from '../../types/Parameters'; | ||
* @returns the template with replaced parameters | ||
* @throws {TemplateError} if parameter is not defined, not closed, or not opened | ||
* @throws {PipelineExecutionError} if parameter is not defined, not closed, or not opened | ||
* | ||
@@ -12,0 +12,0 @@ * @private within the createPipelineExecutor |
@@ -11,2 +11,4 @@ import type { LlmExecutionTools } from '../../../execution/LlmExecutionTools'; | ||
* The LLM tools to use for the conversion and extraction of knowledge | ||
* | ||
* Note: If you want to use multiple LLMs, you can use `joinLlmExecutionTools` to join them first | ||
*/ | ||
@@ -23,1 +25,4 @@ llmTools: LlmExecutionTools; | ||
export {}; | ||
/** | ||
* 11:11 | ||
*/ |
@@ -17,2 +17,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
/** | ||
* Note: [🤖] Add models of new variant | ||
* TODO: !!!! Add embedding models OR Anthropic has only chat+completion models? | ||
@@ -19,0 +20,0 @@ * TODO: [🧠] Some mechanism to propagate unsureness |
import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools'; | ||
import type { PromptChatResult } from '../../execution/PromptResult'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { AnthropicClaudeExecutionToolsOptions } from './AnthropicClaudeExecutionToolsOptions'; | ||
@@ -22,2 +24,4 @@ /** | ||
constructor(options?: AnthropicClaudeExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -28,6 +32,2 @@ * Calls Anthropic Claude API to use a chat model. | ||
/** | ||
* Calls Anthropic Claude API to use a complete model. | ||
*/ | ||
callCompletionModel(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>; | ||
/** | ||
* Get the model that should be used as default | ||
@@ -34,0 +34,0 @@ */ |
@@ -6,2 +6,5 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { AzureOpenAiExecutionToolsOptions } from './AzureOpenAiExecutionToolsOptions'; | ||
@@ -23,2 +26,4 @@ /** | ||
constructor(options: AzureOpenAiExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -25,0 +30,0 @@ * Calls OpenAI API to use a chat model. |
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import { OpenAiExecutionTools } from '../openai/OpenAiExecutionTools'; | ||
@@ -7,2 +10,4 @@ /** | ||
export declare class LangtailExecutionTools extends OpenAiExecutionTools implements LlmExecutionTools { | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
} |
import type { PostprocessingFunction } from '../../scripting/javascript/JavascriptExecutionToolsOptions'; | ||
import type { Expectations } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -4,0 +4,0 @@ * Gets the expectations and creates a fake text that meets the expectations |
@@ -7,2 +7,5 @@ import type { CommonExecutionToolsOptions } from '../../execution/CommonExecutionToolsOptions'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
@@ -14,2 +17,4 @@ * Mocked execution Tools for just echoing the requests for testing purposes. | ||
constructor(options?: CommonExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -16,0 +21,0 @@ * Mocks chat model |
@@ -6,3 +6,7 @@ import type { CommonExecutionToolsOptions } from '../../execution/CommonExecutionToolsOptions'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
@@ -14,2 +18,4 @@ * Mocked execution Tools for just faking expected responses for testing purposes | ||
constructor(options?: CommonExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -24,2 +30,6 @@ * Fakes chat model | ||
/** | ||
* Fakes embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptEmbeddingResult>; | ||
/** | ||
* List all available fake-models that can be used | ||
@@ -26,0 +36,0 @@ */ |
@@ -5,7 +5,11 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
/** | ||
* Multiple LLM Execution Tools is a proxy server that uses multiple execution tools internally and exposes the executor interface externally. | ||
* | ||
* @see https://github.com/webgptorg/promptbook#multiple-server | ||
* @private Internal utility of `joinLlmExecutionTools` | ||
*/ | ||
@@ -21,2 +25,4 @@ export declare class MultipleLlmExecutionTools implements LlmExecutionTools { | ||
constructor(...llmExecutionTools: Array<LlmExecutionTools>); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -31,2 +37,6 @@ * Calls the best available chat model | ||
/** | ||
* Calls the best available embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* Calls the best available model | ||
@@ -41,1 +51,4 @@ */ | ||
} | ||
/** | ||
* TODO: [🧠][🎛] Aggregating multiple models - have result not only from one first aviable model BUT all of them | ||
*/ |
@@ -10,3 +10,3 @@ import type OpenAI from 'openai'; | ||
* @param rawResponse The raw response from OpenAI API | ||
* @throws {ExecutionError} If the usage is not defined in the response from OpenAI | ||
* @throws {PipelineExecutionError} If the usage is not defined in the response from OpenAI | ||
* @private internal util of `OpenAiExecutionTools` | ||
@@ -13,0 +13,0 @@ */ |
@@ -18,2 +18,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
/** | ||
* Note: [🤖] Add models of new variant | ||
* TODO: [🧠] Some mechanism to propagate unsureness | ||
@@ -20,0 +21,0 @@ * TODO: [🕚][👮♀️] Make this list dynamic - dynamically can be listed modelNames but not modelVariant, legacy status, context length and pricing |
@@ -7,2 +7,5 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { OpenAiExecutionToolsOptions } from './OpenAiExecutionToolsOptions'; | ||
@@ -24,2 +27,4 @@ /** | ||
constructor(options?: OpenAiExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -36,3 +41,3 @@ * Calls OpenAI API to use a chat model. | ||
*/ | ||
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>; | ||
callEmbeddingModel(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>; | ||
/** | ||
@@ -39,0 +44,0 @@ * Get the model that should be used as default |
@@ -5,3 +5,7 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools'; | ||
import type { PromptCompletionResult } from '../../execution/PromptResult'; | ||
import type { PromptEmbeddingResult } from '../../execution/PromptResult'; | ||
import type { Prompt } from '../../types/Prompt'; | ||
import type { string_markdown } from '../../types/typeAliases'; | ||
import type { string_markdown_text } from '../../types/typeAliases'; | ||
import type { string_title } from '../../types/typeAliases'; | ||
import type { RemoteLlmExecutionToolsOptions } from './RemoteLlmExecutionToolsOptions'; | ||
@@ -19,2 +23,4 @@ /** | ||
constructor(options: RemoteLlmExecutionToolsOptions); | ||
get title(): string_title & string_markdown_text; | ||
get description(): string_markdown; | ||
/** | ||
@@ -25,12 +31,16 @@ * Creates a connection to the remote proxy server. | ||
/** | ||
* Calls remote proxy server to use a chat model. | ||
* Calls remote proxy server to use a chat model | ||
*/ | ||
callChatModel(prompt: Prompt): Promise<PromptChatResult>; | ||
/** | ||
* Calls remote proxy server to use a completion model. | ||
* Calls remote proxy server to use a completion model | ||
*/ | ||
callCompletionModel(prompt: Prompt): Promise<PromptCompletionResult>; | ||
/** | ||
* Calls remote proxy server to use both completion or chat model. | ||
* Calls remote proxy server to use a embedding model | ||
*/ | ||
callEmbeddingModel(prompt: Prompt): Promise<PromptEmbeddingResult>; | ||
/** | ||
* Calls remote proxy server to use both completion or chat model | ||
*/ | ||
private callModelCommon; | ||
@@ -37,0 +47,0 @@ /** |
@@ -18,2 +18,3 @@ import type { IDestroyable } from 'destroyable'; | ||
* TODO: [🃏] Pass here some security token to prevent malitious usage and/or DDoS | ||
* TODO: [0] Set unavailable models as undefined in `RemoteLlmExecutionTools` NOT throw error here | ||
*/ |
@@ -0,1 +1,2 @@ | ||
import type { really_any } from '../../../types/typeAliases'; | ||
/** | ||
@@ -8,5 +9,5 @@ * Does nothing, but preserves the function in the bundle | ||
*/ | ||
export declare function preserve(func: (...params: Array<any>) => unknown): void; | ||
export declare function preserve(func: (...params: Array<really_any>) => unknown): void; | ||
/** | ||
* TODO: !! [1] This maybe does memory leak | ||
*/ |
@@ -5,3 +5,3 @@ import type { PromptResult } from '../../execution/PromptResult'; | ||
import type { string_pipeline_url } from '../typeAliases'; | ||
import type { string_version } from '../typeAliases'; | ||
import type { string_semantic_version } from '../typeAliases'; | ||
/** | ||
@@ -29,7 +29,7 @@ * ExecutionReport is result of executing one promptbook | ||
*/ | ||
readonly promptbookUsedVersion: string_version; | ||
readonly promptbookUsedVersion: string_semantic_version; | ||
/** | ||
* Version from promptbook which was requested by promptbook | ||
*/ | ||
readonly promptbookRequestedVersion?: string_version; | ||
readonly promptbookRequestedVersion?: string_semantic_version; | ||
/** | ||
@@ -36,0 +36,0 @@ * Description of the promptbook which was executed |
@@ -0,4 +1,5 @@ | ||
import type { string_file_path } from '../typeAliases'; | ||
import type { string_markdown_text } from '../typeAliases'; | ||
import type { string_pipeline_url } from '../typeAliases'; | ||
import type { string_version } from '../typeAliases'; | ||
import type { string_semantic_version } from '../typeAliases'; | ||
import type { KnowledgeJson } from './KnowledgeJson'; | ||
@@ -25,2 +26,6 @@ import type { PromptTemplateJson } from './PromptTemplateJson'; | ||
/** | ||
* Internal helper for tracking the source `.ptbk.md` file of the pipeline | ||
*/ | ||
readonly sourceFile?: string_file_path; | ||
/** | ||
* Title of the promptbook | ||
@@ -33,3 +38,3 @@ * -It can use simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly promptbookVersion: string_version; | ||
readonly promptbookVersion: string_semantic_version; | ||
/** | ||
@@ -54,2 +59,3 @@ * Description of the promptbook | ||
/** | ||
* TODO: !!!!! Implement new commands | ||
* Note: There was a proposal for multiple types of promptbook objects 78816ff33e2705ee1a187aa2eb8affd976d4ea1a | ||
@@ -56,0 +62,0 @@ * But then immediately reverted back to the single type |
@@ -1,145 +0,9 @@ | ||
import type { ExpectFormatCommand } from '../Command'; | ||
import type { ExecutionType } from '../ExecutionTypes'; | ||
import type { ModelRequirements } from '../ModelRequirements'; | ||
import type { ScriptLanguage } from '../ScriptLanguage'; | ||
import type { number_integer } from '../typeAliases'; | ||
import type { number_positive } from '../typeAliases'; | ||
import type { string_javascript } from '../typeAliases'; | ||
import type { string_javascript_name } from '../typeAliases'; | ||
import type { string_markdown } from '../typeAliases'; | ||
import type { string_markdown_text } from '../typeAliases'; | ||
import type { string_name } from '../typeAliases'; | ||
import type { string_prompt } from '../typeAliases'; | ||
import type { string_template } from '../typeAliases'; | ||
import type { ___ } from '../typeAliases'; | ||
import type { LlmTemplateJson } from './LlmTemplateJson'; | ||
import type { PromptDialogJson } from './PromptDialogJson'; | ||
import type { ScriptJson } from './ScriptJson'; | ||
import type { SimpleTemplateJson } from './SimpleTemplateJson'; | ||
/** | ||
* Describes one prompt template in the promptbook | ||
*/ | ||
export type PromptTemplateJson = LlmTemplateJson | SimpleTemplateJson | ScriptJson | PromptDialogJson; | ||
/** | ||
* Template for prompt to LLM | ||
*/ | ||
export type LlmTemplateJson = PromptTemplateJsonCommon & { | ||
readonly executionType: 'PROMPT_TEMPLATE'; | ||
/** | ||
* Requirements for the model | ||
* - This is required only for executionType PROMPT_TEMPLATE | ||
*/ | ||
readonly modelRequirements: ModelRequirements; | ||
}; | ||
/** | ||
* Expect this amount of each unit in the answer | ||
* | ||
* For example 5 words, 3 sentences, 2 paragraphs, ... | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
*/ | ||
export type Expectations = Partial<Record<Lowercase<ExpectationUnit>, { | ||
min?: ExpectationAmount; | ||
max?: ExpectationAmount; | ||
}>>; | ||
/** | ||
* Units of text measurement | ||
*/ | ||
export declare const EXPECTATION_UNITS: readonly ["CHARACTERS", "WORDS", "SENTENCES", "LINES", "PARAGRAPHS", "PAGES"]; | ||
/** | ||
* Unit of text measurement | ||
*/ | ||
export type ExpectationUnit = typeof EXPECTATION_UNITS[number]; | ||
/** | ||
* Amount of text measurement | ||
*/ | ||
export type ExpectationAmount = number_integer & (number_positive | 0); | ||
/** | ||
* Template for simple concatenation of strings | ||
*/ | ||
export interface SimpleTemplateJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'SIMPLE_TEMPLATE'; | ||
} | ||
/** | ||
* Template for script execution | ||
*/ | ||
export interface ScriptJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'SCRIPT'; | ||
/** | ||
* Language of the script | ||
* - This is required only for executionType SCRIPT | ||
* | ||
*/ | ||
readonly contentLanguage?: ScriptLanguage; | ||
} | ||
/** | ||
* Template for prompt to user | ||
*/ | ||
export interface PromptDialogJson extends PromptTemplateJsonCommon { | ||
readonly executionType: 'PROMPT_DIALOG'; | ||
} | ||
/** | ||
* Common properties of all prompt templates | ||
*/ | ||
interface PromptTemplateJsonCommon { | ||
/** | ||
* Name of the template | ||
* - It must be unique across the pipeline | ||
* - It should start uppercase and contain letters and numbers | ||
* - The pipelineUrl together with hash and name are used to identify the prompt template in the pipeline | ||
*/ | ||
readonly name: string_name; | ||
/** | ||
* Title of the prompt template | ||
* It can use simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly title: string; | ||
/** | ||
* Description of the prompt template | ||
* It can use multiple paragraphs of simple markdown formatting like **bold**, *italic*, [link](https://example.com), ... BUT not code blocks and structure | ||
*/ | ||
readonly description?: string_markdown_text; | ||
/** | ||
* List of parameter names that are used in the prompt template and must be defined before the prompt template is executed | ||
* | ||
* Note: Joker is one of the dependent parameters | ||
*/ | ||
readonly dependentParameterNames: Array<string_name>; | ||
/** | ||
* If theese parameters meet the expectations requirements, they are used instead of executing this prompt template | ||
*/ | ||
readonly jokers?: Array<string>; | ||
/** | ||
* Type of the execution | ||
* This determines if the prompt template is send to LLM, user or some scripting evaluation | ||
*/ | ||
readonly executionType: ExecutionType; | ||
/** | ||
* Content of the template with {placeholders} for parameters | ||
*/ | ||
readonly content: (string_prompt | string_javascript | string_markdown) & string_template; | ||
/** | ||
* List of postprocessing steps that are executed after the prompt template | ||
*/ | ||
readonly postprocessing?: Array<string_javascript_name>; | ||
/** | ||
* Expect this amount of each unit in the answer | ||
* | ||
* For example 5 words, 3 sentences, 2 paragraphs, ... | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
*/ | ||
readonly expectations?: Expectations; | ||
/** | ||
* Expect this format of the answer | ||
* | ||
* Note: Expectations are performed after all postprocessing steps | ||
* @deprecated [💝] | ||
*/ | ||
readonly expectFormat?: ExpectFormatCommand['format']; | ||
/** | ||
* Name of the parameter that is the result of the prompt template | ||
*/ | ||
readonly resultingParameterName: string_name; | ||
} | ||
export {}; | ||
/** | ||
* TODO: [💝] Unite object for expecting amount and format - remove expectFormat | ||
* TODO: use one helper type> (string_prompt | string_javascript | string_markdown) & string_template | ||
* TODO: [👙][🧠] Just selecting gpt3 or gpt4 level of model | ||
*/ | ||
export type PromptTemplateJson = LlmTemplateJson | SimpleTemplateJson | ScriptJson | PromptDialogJson | ___ | ___ | ___ | ___; |
@@ -0,5 +1,5 @@ | ||
import type { ExpectFormatCommand } from '../commands/EXPECT/ExpectFormatCommand'; | ||
import type { PostprocessingFunction } from '../scripting/javascript/JavascriptExecutionToolsOptions'; | ||
import type { ExpectFormatCommand } from './Command'; | ||
import type { ModelRequirements } from './ModelRequirements'; | ||
import type { Expectations } from './PipelineJson/PromptTemplateJson'; | ||
import type { Expectations } from './PipelineJson/Expectations'; | ||
import type { string_name } from './typeAliases'; | ||
@@ -55,3 +55,3 @@ import type { string_pipeline_url_with_hashtemplate } from './typeAliases'; | ||
*/ | ||
readonly pipelineUrl: string_pipeline_url_with_hashtemplate; | ||
readonly pipelineUrl?: string_pipeline_url_with_hashtemplate; | ||
/** | ||
@@ -58,0 +58,0 @@ * Parameters used in the prompt |
@@ -1,2 +0,2 @@ | ||
import type { ExecutionType } from './ExecutionTypes'; | ||
import type { BlockType } from '../commands/BLOCK/BlockTypes'; | ||
import type { string_markdown_text } from './typeAliases'; | ||
@@ -34,3 +34,3 @@ import type { string_name } from './typeAliases'; | ||
*/ | ||
readonly executionType: ExecutionType; | ||
readonly blockType: BlockType; | ||
/** | ||
@@ -37,0 +37,0 @@ * The parameter name that is being processed. |
@@ -107,4 +107,17 @@ /** | ||
* | ||
* Markdown text with exactly ONE heading on first line NO less NO more | ||
*/ | ||
export type string_markdown_section = string; | ||
/** | ||
* Semantic helper | ||
* | ||
* Markdown without any headings like h1, h2 | ||
* BUT with formatting, lists, blockquotes, blocks, etc. is allowed | ||
*/ | ||
export type string_markdown_section_content = string; | ||
/** | ||
* Semantic helper | ||
* | ||
* Markdown text without any structure like h1, h2, lists, blockquotes, blocks, etc. | ||
* BUT with bold, italic, etc. | ||
* BUT with bold, italic, etc. is allowed | ||
* | ||
@@ -236,6 +249,2 @@ * For example `"**Hello** World!"` | ||
* Semantic helper | ||
*/ | ||
export type string_protocol = 'http:' | 'https:'; | ||
/** | ||
* Semantic helper | ||
* | ||
@@ -253,2 +262,6 @@ * For example `"localhost"` or `"collboard.com"` | ||
* Semantic helper | ||
*/ | ||
export type string_protocol = 'http:' | 'https:'; | ||
/** | ||
* Semantic helper | ||
* | ||
@@ -259,2 +272,21 @@ * For example `"pavol@hejny.org"` | ||
/** | ||
* Semantic helper | ||
* | ||
* For example `"pavol@hejny.org, jirka@webgpt.cz"` | ||
*/ | ||
export type string_emails = string; | ||
/** | ||
* Branded type for UUIDs version 4 | ||
* This will not allow to pass some random string where should be only a valid UUID | ||
* | ||
* Use utils: | ||
* - `randomUuid` to generate | ||
* - `isValidUuid to check validity | ||
* | ||
* For example `"5a0a153d-7be9-4018-9eda-e0e2e2b89bd9"` | ||
*/ | ||
export type string_uuid = string & { | ||
readonly _type: 'uuid'; | ||
}; | ||
/** | ||
* Branded type client id | ||
@@ -276,3 +308,3 @@ */ | ||
*/ | ||
export type string_version = string; | ||
export type string_semantic_version = string; | ||
/** | ||
@@ -439,4 +471,16 @@ * Semantic helper | ||
/** | ||
* Formatting helper to put void to keep longer version of prettier | ||
*/ | ||
export type ___ = never; | ||
/** | ||
* Organizational helper to better mark the place where the type is missing | ||
*/ | ||
export type TODO = any; | ||
/** | ||
* Organizational helper to mark a place where to really use any | ||
*/ | ||
export type really_any = any; | ||
/** | ||
* TODO: !! Cleanup | ||
* TODO: !! Change to branded types | ||
*/ |
@@ -21,3 +21,4 @@ import type { string_char_emoji } from '../types/typeAliasEmoji'; | ||
/** | ||
* TODO: [💴] DRY - just one version of emojis.ts | ||
* TODO: Mirror from Collboard or some common package | ||
*/ |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of characters in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of lines in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of pages in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of paragraphs in the text |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Split text into sentences |
@@ -1,2 +0,2 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -3,0 +3,0 @@ * Counts number of words in the text |
@@ -1,3 +0,3 @@ | ||
import type { ExpectationAmount } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationUnit } from '../../types/PipelineJson/PromptTemplateJson'; | ||
import type { ExpectationAmount } from '../../types/PipelineJson/Expectations'; | ||
import type { ExpectationUnit } from '../../types/PipelineJson/Expectations'; | ||
/** | ||
@@ -4,0 +4,0 @@ * Index of all counter functions |
@@ -7,3 +7,4 @@ import type { string_html } from '../../types/typeAliases'; | ||
* @returns formatted html code | ||
* @private withing the package because of HUGE size of prettier dependency | ||
*/ | ||
export declare function prettifyMarkdown<TContent extends string_html>(content: TContent): TContent; |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeToKebabCase(sentence: string): string; | ||
/** | ||
* Semantic helper for kebab-case strings | ||
* | ||
* @example 'hello-world' | ||
* @example 'i-love-promptbook' | ||
*/ | ||
export type string_kebab_case = string; | ||
export declare function normalizeToKebabCase(text: string): string_kebab_case; |
@@ -1,4 +0,11 @@ | ||
export declare function normalizeTo_camelCase(sentence: string, __firstLetterCapital?: boolean): string; | ||
/** | ||
* Semantic helper for camelCase strings | ||
* | ||
* @example 'helloWorld' | ||
* @example 'iLovePromptbook' | ||
*/ | ||
export type string_camelCase = string; | ||
export declare function normalizeTo_camelCase(text: string, _isFirstLetterCapital?: boolean): string_camelCase; | ||
/** | ||
* TODO: [🌺] Use some intermediate util splitWords | ||
*/ |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeTo_PascalCase(sentence: string): string; | ||
/** | ||
* Semantic helper for PascalCase strings | ||
* | ||
* @example 'HelloWorld' | ||
* @example 'ILovePromptbook' | ||
*/ | ||
export type string_PascalCase = string; | ||
export declare function normalizeTo_PascalCase(text: string): string_PascalCase; |
@@ -1,4 +0,16 @@ | ||
export declare function normalizeTo_SCREAMING_CASE(sentence: string): string; | ||
/** | ||
* Semantic helper for SCREAMING_CASE strings | ||
* | ||
* @example 'HELLO_WORLD' | ||
* @example 'I_LOVE_PROMPTBOOK' | ||
*/ | ||
export type string_SCREAMING_CASE = string; | ||
export declare function normalizeTo_SCREAMING_CASE(text: string): string_SCREAMING_CASE; | ||
/** | ||
* TODO: Tests | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: 'Moje tabule' })).toEqual('/VtG7sR9rRJqwNEdM2/Moje tabule'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: 'ěščřžžýáíúů' })).toEqual('/VtG7sR9rRJqwNEdM2/escrzyaieuu'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: ' ahoj ' })).toEqual('/VtG7sR9rRJqwNEdM2/ahoj'); | ||
* > expect(encodeRoutePath({ uriId: 'VtG7sR9rRJqwNEdM2', name: ' ahoj_ahojAhoj ahoj ' })).toEqual('/VtG7sR9rRJqwNEdM2/ahoj-ahoj-ahoj-ahoj'); | ||
* TODO: [🌺] Use some intermediate util splitWords | ||
*/ |
@@ -1,1 +0,8 @@ | ||
export declare function normalizeTo_snake_case(sentence: string): string; | ||
/** | ||
* Semantic helper for snake_case strings | ||
* | ||
* @example 'hello_world' | ||
* @example 'i_love_promptbook' | ||
*/ | ||
export type string_snake_case = string; | ||
export declare function normalizeTo_snake_case(text: string): string_snake_case; |
/** | ||
* Create difference set of two sets. | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function difference<TItem>(a: Set<TItem>, b: Set<TItem>, isEqual?: (a: TItem, b: TItem) => boolean): Set<TItem>; |
/** | ||
* Creates a new set with all elements that are present in all sets | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function intersection<TItem>(...sets: Array<Set<TItem>>): Set<TItem>; |
/** | ||
* Creates a new set with all elements that are present in either set | ||
* | ||
* @deprecated use new javascript set methods instead @see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Set | ||
*/ | ||
export declare function union<TItem>(...sets: Array<Set<TItem>>): Set<TItem>; |
@@ -6,3 +6,6 @@ import type { string_url } from '../../../types/typeAliases'; | ||
* Note: Dataurl are considered perfectly valid. | ||
* Note: There are two simmilar functions: | ||
* - `isValidUrl` which tests any URL | ||
* - `isValidPipelineUrl` *(this one)* which tests just promptbook URL | ||
*/ | ||
export declare function isValidUrl(url: unknown): url is string_url; |
@@ -1,5 +0,6 @@ | ||
import type { string_version } from './types/typeAliases'; | ||
import type { string_semantic_version } from './types/typeAliases'; | ||
/** | ||
* The version of the Promptbook library | ||
*/ | ||
export declare const PROMPTBOOK_VERSION: string_version; | ||
export declare const PROMPTBOOK_VERSION: string_promptbook_version; | ||
export type string_promptbook_version = string_semantic_version; |
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Found 1 instance in 1 package
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