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@promptbook/fake-llm

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@promptbook/fake-llm - npm Package Compare versions

Comparing version 0.59.0-30 to 0.59.0-31

esm/typings/src/execution/EmbeddingVector.d.ts
esm/typings/src/execution/embeddingVectorToString.d.ts
umd/typings/src/execution/EmbeddingVector.d.ts
umd/typings/src/execution/embeddingVectorToString.d.ts

2

esm/index.es.js

@@ -846,5 +846,5 @@ import { spaceTrim } from 'spacetrim';

*/
var PROMPTBOOK_VERSION = '0.59.0-29';
var PROMPTBOOK_VERSION = '0.59.0-30';
export { MockedEchoLlmExecutionTools, MockedFackedLlmExecutionTools, PROMPTBOOK_VERSION };
//# sourceMappingURL=index.es.js.map

3

esm/typings/src/_packages/core.index.d.ts

@@ -16,2 +16,3 @@ import { prettifyPromptbookString } from '../conversion/prettify/prettifyPromptbookString';

import { createPromptbookExecutor } from '../execution/createPromptbookExecutor';
import { embeddingVectorToString } from '../execution/embeddingVectorToString';
import { addUsage } from '../execution/utils/addUsage';

@@ -37,3 +38,3 @@ import { checkExpectations, isPassingExpectations } from '../execution/utils/checkExpectations';

export { ExecutionTypes };
export { addUsage, assertsExecutionSuccessful, checkExpectations, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPromptbookString, usageToWorktime, };
export { addUsage, assertsExecutionSuccessful, checkExpectations, embeddingVectorToString, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPromptbookString, usageToWorktime, };
export { createLibraryFromJson, createLibraryFromPromise, createLibraryFromUrl, createSublibrary, libraryToJson };

@@ -40,0 +41,0 @@ export { SimplePromptInterfaceTools };

5

esm/typings/src/_packages/types.index.d.ts
import type { CommonExecutionToolsOptions } from '../execution/CommonExecutionToolsOptions';
import { EmbeddingVector } from '../execution/EmbeddingVector';
import type { ExecutionTools } from '../execution/ExecutionTools';
import type { AvailableModel, LlmExecutionTools } from '../execution/LlmExecutionTools';
import type { PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, UncertainNumber } from '../execution/PromptResult';
import type { PromptEmbeddingResult, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, UncertainNumber } from '../execution/PromptResult';
import type { PromptbookExecutor } from '../execution/PromptbookExecutor';

@@ -29,5 +30,5 @@ import type { ScriptExecutionTools, ScriptExecutionToolsExecuteOptions } from '../execution/ScriptExecutionTools';

export { EXPECTATION_UNITS };
export type { AvailableModel, client_id, CommonExecutionToolsOptions, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, Expectations, ExpectationUnit, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, Prompt, PromptbookExecutor, PromptbookJson, PromptbookLibrary, PromptbookString, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, 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_prompt, string_promptbook_url, string_promptbook_url_with_hashtemplate, 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, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, };
export type { AvailableModel, client_id, CommonExecutionToolsOptions, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, Expectations, ExpectationUnit, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, Prompt, PromptbookExecutor, PromptbookJson, PromptbookLibrary, PromptbookString, PromptChatResult, PromptEmbeddingResult, EmbeddingVector, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, 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_prompt, string_promptbook_url, string_promptbook_url_with_hashtemplate, 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, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, };
/**
* TODO: Delete type aliases (from ../types/typeAliases) that are not exported here
*/

11

esm/typings/src/execution/PromptResult.d.ts

@@ -7,2 +7,3 @@ import type { KebabCase } from 'type-fest';

import type { string_model_name } from '../types/typeAliases';
import type { EmbeddingVector } from './EmbeddingVector';
/**

@@ -24,2 +25,12 @@ * Prompt result is the simplest concept of execution.

export type PromptChatResult = PromptCommonResult & {};
/**
* Prompt embedding result
* It contains only the following text NOT the whole completion
*/
export type PromptEmbeddingResult = Omit<PromptCommonResult, 'content'> & {
/**
* The response from the model
*/
content: EmbeddingVector;
};
export type PromptCommonResult = {

@@ -26,0 +37,0 @@ /**

6

esm/typings/src/llm-providers/openai/computeOpenaiUsage.d.ts
import type OpenAI from 'openai';
import type { PromptResult } from '../../execution/PromptResult';
import type { PromptResultUsage } from '../../execution/PromptResult';

@@ -8,2 +7,5 @@ import type { Prompt } from '../../types/Prompt';

*
* @param promptContent The content of the prompt
* @param resultContent The content of the result (for embedding prompts or failed prompts pass empty string)
* @param rawResponse The raw response from OpenAI API
* @throws {PromptbookExecutionError} If the usage is not defined in the response from OpenAI

@@ -13,2 +15,2 @@ * @private internal util of `OpenAiExecutionTools`

export declare function computeOpenaiUsage(promptContent: Prompt['content'], // <- Note: Intentionally using [] to access type properties to bring jsdoc from Prompt/PromptResult to consumer
resultContent: PromptResult['content'], rawResponse: Pick<OpenAI.Chat.Completions.ChatCompletion | OpenAI.Completions.Completion, 'model' | 'usage'>): PromptResultUsage;
resultContent: string, rawResponse: Pick<OpenAI.Chat.Completions.ChatCompletion | OpenAI.Completions.Completion | OpenAI.Embeddings.CreateEmbeddingResponse, 'model' | 'usage'>): PromptResultUsage;

5

esm/typings/src/llm-providers/openai/OpenAiExecutionTools.d.ts

@@ -5,2 +5,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools';

import type { PromptCompletionResult } from '../../execution/PromptResult';
import type { PromptEmbeddingResult } from '../../execution/PromptResult';
import type { Prompt } from '../../types/Prompt';

@@ -32,5 +33,5 @@ import type { OpenAiExecutionToolsOptions } from './OpenAiExecutionToolsOptions';

/**
* !!!!
* Calls OpenAI API to use a embedding model
*/
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>;
/**

@@ -37,0 +38,0 @@ * Default model for chat variant.

3

esm/typings/src/types/PromptbookJson/MaterialKnowledgePieceJson.d.ts

@@ -0,1 +1,2 @@

import type { EmbeddingVector } from '../../execution/EmbeddingVector';
import type { string_keyword } from '../../utils/normalization/IKeywords';

@@ -14,3 +15,3 @@ import type { string_href } from '../typeAliases';

modelName: string_model_name;
position: Array<number>;
position: EmbeddingVector;
}>;

@@ -17,0 +18,0 @@ readonly sources: Array<{

4

package.json
{
"name": "@promptbook/fake-llm",
"version": "0.59.0-30",
"version": "0.59.0-31",
"description": "Library to supercharge your use of large language models",

@@ -51,3 +51,3 @@ "private": false,

"peerDependencies": {
"@promptbook/core": "0.59.0-30"
"@promptbook/core": "0.59.0-31"
},

@@ -54,0 +54,0 @@ "main": "./umd/index.umd.js",

2

umd/index.umd.js

@@ -849,3 +849,3 @@ (function (global, factory) {

*/
var PROMPTBOOK_VERSION = '0.59.0-29';
var PROMPTBOOK_VERSION = '0.59.0-30';

@@ -852,0 +852,0 @@ exports.MockedEchoLlmExecutionTools = MockedEchoLlmExecutionTools;

3

umd/typings/src/_packages/core.index.d.ts

@@ -16,2 +16,3 @@ import { prettifyPromptbookString } from '../conversion/prettify/prettifyPromptbookString';

import { createPromptbookExecutor } from '../execution/createPromptbookExecutor';
import { embeddingVectorToString } from '../execution/embeddingVectorToString';
import { addUsage } from '../execution/utils/addUsage';

@@ -37,3 +38,3 @@ import { checkExpectations, isPassingExpectations } from '../execution/utils/checkExpectations';

export { ExecutionTypes };
export { addUsage, assertsExecutionSuccessful, checkExpectations, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPromptbookString, usageToWorktime, };
export { addUsage, assertsExecutionSuccessful, checkExpectations, embeddingVectorToString, executionReportJsonToString, ExecutionReportStringOptions, ExecutionReportStringOptionsDefaults, isPassingExpectations, prepareKnowledgeFromMarkdown, prettifyPromptbookString, usageToWorktime, };
export { createLibraryFromJson, createLibraryFromPromise, createLibraryFromUrl, createSublibrary, libraryToJson };

@@ -40,0 +41,0 @@ export { SimplePromptInterfaceTools };

5

umd/typings/src/_packages/types.index.d.ts
import type { CommonExecutionToolsOptions } from '../execution/CommonExecutionToolsOptions';
import { EmbeddingVector } from '../execution/EmbeddingVector';
import type { ExecutionTools } from '../execution/ExecutionTools';
import type { AvailableModel, LlmExecutionTools } from '../execution/LlmExecutionTools';
import type { PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, UncertainNumber } from '../execution/PromptResult';
import type { PromptEmbeddingResult, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptResult, PromptResultUsage, PromptResultUsageCounts, UncertainNumber } from '../execution/PromptResult';
import type { PromptbookExecutor } from '../execution/PromptbookExecutor';

@@ -29,5 +30,5 @@ import type { ScriptExecutionTools, ScriptExecutionToolsExecuteOptions } from '../execution/ScriptExecutionTools';

export { EXPECTATION_UNITS };
export type { AvailableModel, client_id, CommonExecutionToolsOptions, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, Expectations, ExpectationUnit, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, Prompt, PromptbookExecutor, PromptbookJson, PromptbookLibrary, PromptbookString, PromptChatResult, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, 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_prompt, string_promptbook_url, string_promptbook_url_with_hashtemplate, 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, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, };
export type { AvailableModel, client_id, CommonExecutionToolsOptions, ExecutionReportJson, ExecutionTools, ExecutionType, ExpectationAmount, Expectations, ExpectationUnit, FromtoItems, KnowledgeJson, LlmExecutionTools, LlmTemplateJson, MaterialKnowledgePieceJson, ModelRequirements, ModelVariant, Parameters, Prompt, PromptbookExecutor, PromptbookJson, PromptbookLibrary, PromptbookString, PromptChatResult, PromptEmbeddingResult, EmbeddingVector, PromptCommonResult, PromptCompletionResult, PromptDialogJson, PromptResult, PromptResultUsage, PromptResultUsageCounts, PromptTemplateJson, PromptTemplateParameterJson, ScriptExecutionTools, ScriptExecutionToolsExecuteOptions, ScriptJson, ScriptLanguage, SimpleTemplateJson, 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_prompt, string_promptbook_url, string_promptbook_url_with_hashtemplate, 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, TaskProgress, UncertainNumber, UserInterfaceTools, UserInterfaceToolsPromptDialogOptions, };
/**
* TODO: Delete type aliases (from ../types/typeAliases) that are not exported here
*/

11

umd/typings/src/execution/PromptResult.d.ts

@@ -7,2 +7,3 @@ import type { KebabCase } from 'type-fest';

import type { string_model_name } from '../types/typeAliases';
import type { EmbeddingVector } from './EmbeddingVector';
/**

@@ -24,2 +25,12 @@ * Prompt result is the simplest concept of execution.

export type PromptChatResult = PromptCommonResult & {};
/**
* Prompt embedding result
* It contains only the following text NOT the whole completion
*/
export type PromptEmbeddingResult = Omit<PromptCommonResult, 'content'> & {
/**
* The response from the model
*/
content: EmbeddingVector;
};
export type PromptCommonResult = {

@@ -26,0 +37,0 @@ /**

6

umd/typings/src/llm-providers/openai/computeOpenaiUsage.d.ts
import type OpenAI from 'openai';
import type { PromptResult } from '../../execution/PromptResult';
import type { PromptResultUsage } from '../../execution/PromptResult';

@@ -8,2 +7,5 @@ import type { Prompt } from '../../types/Prompt';

*
* @param promptContent The content of the prompt
* @param resultContent The content of the result (for embedding prompts or failed prompts pass empty string)
* @param rawResponse The raw response from OpenAI API
* @throws {PromptbookExecutionError} If the usage is not defined in the response from OpenAI

@@ -13,2 +15,2 @@ * @private internal util of `OpenAiExecutionTools`

export declare function computeOpenaiUsage(promptContent: Prompt['content'], // <- Note: Intentionally using [] to access type properties to bring jsdoc from Prompt/PromptResult to consumer
resultContent: PromptResult['content'], rawResponse: Pick<OpenAI.Chat.Completions.ChatCompletion | OpenAI.Completions.Completion, 'model' | 'usage'>): PromptResultUsage;
resultContent: string, rawResponse: Pick<OpenAI.Chat.Completions.ChatCompletion | OpenAI.Completions.Completion | OpenAI.Embeddings.CreateEmbeddingResponse, 'model' | 'usage'>): PromptResultUsage;

5

umd/typings/src/llm-providers/openai/OpenAiExecutionTools.d.ts

@@ -5,2 +5,3 @@ import type { AvailableModel } from '../../execution/LlmExecutionTools';

import type { PromptCompletionResult } from '../../execution/PromptResult';
import type { PromptEmbeddingResult } from '../../execution/PromptResult';
import type { Prompt } from '../../types/Prompt';

@@ -32,5 +33,5 @@ import type { OpenAiExecutionToolsOptions } from './OpenAiExecutionToolsOptions';

/**
* !!!!
* Calls OpenAI API to use a embedding model
*/
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
embed(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptEmbeddingResult>;
/**

@@ -37,0 +38,0 @@ * Default model for chat variant.

3

umd/typings/src/types/PromptbookJson/MaterialKnowledgePieceJson.d.ts

@@ -0,1 +1,2 @@

import type { EmbeddingVector } from '../../execution/EmbeddingVector';
import type { string_keyword } from '../../utils/normalization/IKeywords';

@@ -14,3 +15,3 @@ import type { string_href } from '../typeAliases';

modelName: string_model_name;
position: Array<number>;
position: EmbeddingVector;
}>;

@@ -17,0 +18,0 @@ readonly sources: Array<{

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