refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
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const crypto = require('crypto');
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const TextStream = require('./TextStream');
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const { RecursiveCharacterTextSplitter } = require('langchain/text_splitter');
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const { ChatOpenAI } = require('langchain/chat_models/openai');
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const { loadSummarizationChain } = require('langchain/chains');
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const { refinePrompt } = require('./prompts/refinePrompt');
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const { getConvo, getMessages, saveMessage, updateMessage, saveConvo } = require('../../models');
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class BaseClient {
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constructor(apiKey, options = {}) {
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this.apiKey = apiKey;
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this.sender = options.sender || 'AI';
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this.contextStrategy = null;
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this.currentDateString = new Date().toLocaleDateString('en-us', {
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year: 'numeric',
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month: 'long',
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2023-07-14 09:36:49 -04:00
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day: 'numeric',
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refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
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});
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}
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setOptions() {
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2023-07-06 16:45:39 -04:00
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throw new Error('Method \'setOptions\' must be implemented.');
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refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
getCompletion() {
|
2023-07-06 16:45:39 -04:00
|
|
|
throw new Error('Method \'getCompletion\' must be implemented.');
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
2023-07-06 16:45:39 -04:00
|
|
|
async sendCompletion() {
|
|
|
|
throw new Error('Method \'sendCompletion\' must be implemented.');
|
2023-07-05 14:00:12 -04:00
|
|
|
}
|
|
|
|
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
getSaveOptions() {
|
|
|
|
throw new Error('Subclasses must implement getSaveOptions');
|
|
|
|
}
|
|
|
|
|
|
|
|
async buildMessages() {
|
|
|
|
throw new Error('Subclasses must implement buildMessages');
|
|
|
|
}
|
|
|
|
|
|
|
|
getBuildMessagesOptions() {
|
|
|
|
throw new Error('Subclasses must implement getBuildMessagesOptions');
|
|
|
|
}
|
|
|
|
|
|
|
|
async generateTextStream(text, onProgress, options = {}) {
|
|
|
|
const stream = new TextStream(text, options);
|
|
|
|
await stream.processTextStream(onProgress);
|
|
|
|
}
|
|
|
|
|
|
|
|
async setMessageOptions(opts = {}) {
|
|
|
|
if (opts && typeof opts === 'object') {
|
|
|
|
this.setOptions(opts);
|
|
|
|
}
|
|
|
|
const user = opts.user || null;
|
|
|
|
const conversationId = opts.conversationId || crypto.randomUUID();
|
|
|
|
const parentMessageId = opts.parentMessageId || '00000000-0000-0000-0000-000000000000';
|
|
|
|
const userMessageId = opts.overrideParentMessageId || crypto.randomUUID();
|
|
|
|
const responseMessageId = crypto.randomUUID();
|
|
|
|
const saveOptions = this.getSaveOptions();
|
|
|
|
this.abortController = opts.abortController || new AbortController();
|
2023-07-14 09:36:49 -04:00
|
|
|
this.currentMessages = (await this.loadHistory(conversationId, parentMessageId)) ?? [];
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
|
|
|
|
return {
|
|
|
|
...opts,
|
|
|
|
user,
|
|
|
|
conversationId,
|
|
|
|
parentMessageId,
|
|
|
|
userMessageId,
|
|
|
|
responseMessageId,
|
|
|
|
saveOptions,
|
|
|
|
};
|
|
|
|
}
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|
|
|
|
2023-07-07 02:03:23 -04:00
|
|
|
createUserMessage({ messageId, parentMessageId, conversationId, text }) {
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
const userMessage = {
|
|
|
|
messageId,
|
|
|
|
parentMessageId,
|
|
|
|
conversationId,
|
|
|
|
sender: 'User',
|
|
|
|
text,
|
2023-07-14 09:36:49 -04:00
|
|
|
isCreatedByUser: true,
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
};
|
|
|
|
return userMessage;
|
|
|
|
}
|
|
|
|
|
|
|
|
async handleStartMethods(message, opts) {
|
2023-07-14 09:36:49 -04:00
|
|
|
const { user, conversationId, parentMessageId, userMessageId, responseMessageId, saveOptions } =
|
|
|
|
await this.setMessageOptions(opts);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
|
|
|
|
const userMessage = this.createUserMessage({
|
|
|
|
messageId: userMessageId,
|
|
|
|
parentMessageId,
|
|
|
|
conversationId,
|
|
|
|
text: message,
|
|
|
|
});
|
|
|
|
|
|
|
|
if (typeof opts?.getIds === 'function') {
|
|
|
|
opts.getIds({
|
|
|
|
userMessage,
|
|
|
|
conversationId,
|
2023-07-14 09:36:49 -04:00
|
|
|
responseMessageId,
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
if (typeof opts?.onStart === 'function') {
|
|
|
|
opts.onStart(userMessage);
|
|
|
|
}
|
|
|
|
|
|
|
|
return {
|
|
|
|
...opts,
|
|
|
|
user,
|
|
|
|
conversationId,
|
|
|
|
responseMessageId,
|
|
|
|
saveOptions,
|
|
|
|
userMessage,
|
|
|
|
};
|
|
|
|
}
|
|
|
|
|
|
|
|
addInstructions(messages, instructions) {
|
|
|
|
const payload = [];
|
|
|
|
if (!instructions) {
|
|
|
|
return messages;
|
|
|
|
}
|
|
|
|
if (messages.length > 1) {
|
|
|
|
payload.push(...messages.slice(0, -1));
|
|
|
|
}
|
|
|
|
|
|
|
|
payload.push(instructions);
|
|
|
|
|
|
|
|
if (messages.length > 0) {
|
|
|
|
payload.push(messages[messages.length - 1]);
|
|
|
|
}
|
|
|
|
|
|
|
|
return payload;
|
|
|
|
}
|
|
|
|
|
|
|
|
async handleTokenCountMap(tokenCountMap) {
|
|
|
|
if (this.currentMessages.length === 0) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
for (let i = 0; i < this.currentMessages.length; i++) {
|
|
|
|
// Skip the last message, which is the user message.
|
|
|
|
if (i === this.currentMessages.length - 1) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
const message = this.currentMessages[i];
|
|
|
|
const { messageId } = message;
|
|
|
|
const update = {};
|
|
|
|
|
|
|
|
if (messageId === tokenCountMap.refined?.messageId) {
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug(`Adding refined props to ${messageId}.`);
|
|
|
|
}
|
|
|
|
|
|
|
|
update.refinedMessageText = tokenCountMap.refined.content;
|
|
|
|
update.refinedTokenCount = tokenCountMap.refined.tokenCount;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (message.tokenCount && !update.refinedTokenCount) {
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug(`Skipping ${messageId}: already had a token count.`);
|
|
|
|
}
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
|
|
|
|
const tokenCount = tokenCountMap[messageId];
|
|
|
|
if (tokenCount) {
|
|
|
|
message.tokenCount = tokenCount;
|
|
|
|
update.tokenCount = tokenCount;
|
|
|
|
await this.updateMessageInDatabase({ messageId, ...update });
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
concatenateMessages(messages) {
|
|
|
|
return messages.reduce((acc, message) => {
|
|
|
|
const nameOrRole = message.name ?? message.role;
|
|
|
|
return acc + `${nameOrRole}:\n${message.content}\n\n`;
|
|
|
|
}, '');
|
|
|
|
}
|
|
|
|
|
|
|
|
async refineMessages(messagesToRefine, remainingContextTokens) {
|
|
|
|
const model = new ChatOpenAI({ temperature: 0 });
|
2023-07-14 09:36:49 -04:00
|
|
|
const chain = loadSummarizationChain(model, {
|
|
|
|
type: 'refine',
|
|
|
|
verbose: this.options.debug,
|
|
|
|
refinePrompt,
|
|
|
|
});
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
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const splitter = new RecursiveCharacterTextSplitter({
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chunkSize: 1500,
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chunkOverlap: 100,
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});
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2023-07-14 09:36:49 -04:00
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const userMessages = this.concatenateMessages(
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messagesToRefine.filter((m) => m.role === 'user'),
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);
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const assistantMessages = this.concatenateMessages(
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messagesToRefine.filter((m) => m.role !== 'user'),
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);
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const userDocs = await splitter.createDocuments([userMessages], [], {
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2023-07-06 16:45:39 -04:00
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chunkHeader: 'DOCUMENT NAME: User Message\n\n---\n\n',
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refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
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appendChunkOverlapHeader: true,
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});
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2023-07-14 09:36:49 -04:00
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const assistantDocs = await splitter.createDocuments([assistantMessages], [], {
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2023-07-06 16:45:39 -04:00
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chunkHeader: 'DOCUMENT NAME: Assistant Message\n\n---\n\n',
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refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
appendChunkOverlapHeader: true,
|
|
|
|
});
|
|
|
|
// const chunkSize = Math.round(concatenatedMessages.length / 512);
|
|
|
|
const input_documents = userDocs.concat(assistantDocs);
|
2023-07-14 09:36:49 -04:00
|
|
|
if (this.options.debug) {
|
2023-07-06 16:45:39 -04:00
|
|
|
console.debug('Refining messages...');
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
try {
|
|
|
|
const res = await chain.call({
|
|
|
|
input_documents,
|
|
|
|
signal: this.abortController.signal,
|
|
|
|
});
|
|
|
|
|
|
|
|
const refinedMessage = {
|
|
|
|
role: 'assistant',
|
|
|
|
content: res.output_text,
|
|
|
|
tokenCount: this.getTokenCount(res.output_text),
|
2023-07-14 09:36:49 -04:00
|
|
|
};
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
|
2023-07-14 09:36:49 -04:00
|
|
|
if (this.options.debug) {
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
console.debug('Refined messages', refinedMessage);
|
2023-07-14 09:36:49 -04:00
|
|
|
console.debug(
|
|
|
|
`remainingContextTokens: ${remainingContextTokens}, after refining: ${
|
|
|
|
remainingContextTokens - refinedMessage.tokenCount
|
|
|
|
}`,
|
|
|
|
);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
return refinedMessage;
|
|
|
|
} catch (e) {
|
|
|
|
console.error('Error refining messages');
|
|
|
|
console.error(e);
|
|
|
|
return null;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/**
|
2023-07-14 09:36:49 -04:00
|
|
|
* This method processes an array of messages and returns a context of messages that fit within a token limit.
|
|
|
|
* It iterates over the messages from newest to oldest, adding them to the context until the token limit is reached.
|
|
|
|
* If the token limit would be exceeded by adding a message, that message and possibly the previous one are added to a separate array of messages to refine.
|
|
|
|
* The method uses `push` and `pop` operations for efficient array manipulation, and reverses the arrays at the end to maintain the original order of the messages.
|
|
|
|
* The method also includes a mechanism to avoid blocking the event loop by waiting for the next tick after each iteration.
|
|
|
|
*
|
|
|
|
* @param {Array} messages - An array of messages, each with a `tokenCount` property. The messages should be ordered from oldest to newest.
|
|
|
|
* @returns {Object} An object with three properties: `context`, `remainingContextTokens`, and `messagesToRefine`. `context` is an array of messages that fit within the token limit. `remainingContextTokens` is the number of tokens remaining within the limit after adding the messages to the context. `messagesToRefine` is an array of messages that were not added to the context because they would have exceeded the token limit.
|
|
|
|
*/
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
async getMessagesWithinTokenLimit(messages) {
|
|
|
|
let currentTokenCount = 0;
|
|
|
|
let context = [];
|
|
|
|
let messagesToRefine = [];
|
|
|
|
let refineIndex = -1;
|
|
|
|
let remainingContextTokens = this.maxContextTokens;
|
|
|
|
|
|
|
|
for (let i = messages.length - 1; i >= 0; i--) {
|
|
|
|
const message = messages[i];
|
|
|
|
const newTokenCount = currentTokenCount + message.tokenCount;
|
|
|
|
const exceededLimit = newTokenCount > this.maxContextTokens;
|
|
|
|
let shouldRefine = exceededLimit && this.shouldRefineContext;
|
|
|
|
let refineNextMessage = i !== 0 && i !== 1 && context.length > 0;
|
|
|
|
|
|
|
|
if (shouldRefine) {
|
|
|
|
messagesToRefine.push(message);
|
|
|
|
|
|
|
|
if (refineIndex === -1) {
|
|
|
|
refineIndex = i;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (refineNextMessage) {
|
|
|
|
refineIndex = i + 1;
|
|
|
|
const removedMessage = context.pop();
|
|
|
|
messagesToRefine.push(removedMessage);
|
|
|
|
currentTokenCount -= removedMessage.tokenCount;
|
|
|
|
remainingContextTokens = this.maxContextTokens - currentTokenCount;
|
|
|
|
refineNextMessage = false;
|
|
|
|
}
|
|
|
|
|
|
|
|
continue;
|
|
|
|
} else if (exceededLimit) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
context.push(message);
|
|
|
|
currentTokenCount = newTokenCount;
|
|
|
|
remainingContextTokens = this.maxContextTokens - currentTokenCount;
|
2023-07-14 09:36:49 -04:00
|
|
|
await new Promise((resolve) => setImmediate(resolve));
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
2023-07-06 16:45:39 -04:00
|
|
|
return {
|
|
|
|
context: context.reverse(),
|
|
|
|
remainingContextTokens,
|
|
|
|
messagesToRefine: messagesToRefine.reverse(),
|
2023-07-14 09:36:49 -04:00
|
|
|
refineIndex,
|
2023-07-06 16:45:39 -04:00
|
|
|
};
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
2023-07-07 02:03:23 -04:00
|
|
|
async handleContextStrategy({ instructions, orderedMessages, formattedMessages }) {
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
let payload = this.addInstructions(formattedMessages, instructions);
|
|
|
|
let orderedWithInstructions = this.addInstructions(orderedMessages, instructions);
|
2023-07-14 09:36:49 -04:00
|
|
|
let { context, remainingContextTokens, messagesToRefine, refineIndex } =
|
|
|
|
await this.getMessagesWithinTokenLimit(payload);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
|
|
|
|
payload = context;
|
|
|
|
let refinedMessage;
|
|
|
|
|
|
|
|
// if (messagesToRefine.length > 0) {
|
|
|
|
// refinedMessage = await this.refineMessages(messagesToRefine, remainingContextTokens);
|
|
|
|
// payload.unshift(refinedMessage);
|
|
|
|
// remainingContextTokens -= refinedMessage.tokenCount;
|
|
|
|
// }
|
|
|
|
// if (remainingContextTokens <= instructions?.tokenCount) {
|
|
|
|
// if (this.options.debug) {
|
|
|
|
// console.debug(`Remaining context (${remainingContextTokens}) is less than instructions token count: ${instructions.tokenCount}`);
|
|
|
|
// }
|
|
|
|
|
|
|
|
// ({ context, remainingContextTokens, messagesToRefine, refineIndex } = await this.getMessagesWithinTokenLimit(payload));
|
|
|
|
// payload = context;
|
|
|
|
// }
|
|
|
|
|
|
|
|
// Calculate the difference in length to determine how many messages were discarded if any
|
|
|
|
let diff = orderedWithInstructions.length - payload.length;
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('<---------------------------------DIFF--------------------------------->');
|
2023-07-14 09:36:49 -04:00
|
|
|
console.debug(
|
|
|
|
`Difference between payload (${payload.length}) and orderedWithInstructions (${orderedWithInstructions.length}): ${diff}`,
|
|
|
|
);
|
|
|
|
console.debug(
|
|
|
|
'remainingContextTokens, this.maxContextTokens (1/2)',
|
|
|
|
remainingContextTokens,
|
|
|
|
this.maxContextTokens,
|
|
|
|
);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
// If the difference is positive, slice the orderedWithInstructions array
|
|
|
|
if (diff > 0) {
|
|
|
|
orderedWithInstructions = orderedWithInstructions.slice(diff);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (messagesToRefine.length > 0) {
|
|
|
|
refinedMessage = await this.refineMessages(messagesToRefine, remainingContextTokens);
|
|
|
|
payload.unshift(refinedMessage);
|
|
|
|
remainingContextTokens -= refinedMessage.tokenCount;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
2023-07-14 09:36:49 -04:00
|
|
|
console.debug(
|
|
|
|
'remainingContextTokens, this.maxContextTokens (2/2)',
|
|
|
|
remainingContextTokens,
|
|
|
|
this.maxContextTokens,
|
|
|
|
);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
let tokenCountMap = orderedWithInstructions.reduce((map, message, index) => {
|
|
|
|
if (!message.messageId) {
|
|
|
|
return map;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (index === refineIndex) {
|
2023-07-07 02:03:23 -04:00
|
|
|
map.refined = { ...refinedMessage, messageId: message.messageId };
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
map[message.messageId] = payload[index].tokenCount;
|
|
|
|
return map;
|
|
|
|
}, {});
|
|
|
|
|
|
|
|
const promptTokens = this.maxContextTokens - remainingContextTokens;
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('<-------------------------PAYLOAD/TOKEN COUNT MAP------------------------->');
|
|
|
|
console.debug('Payload:', payload);
|
|
|
|
console.debug('Token Count Map:', tokenCountMap);
|
|
|
|
console.debug('Prompt Tokens', promptTokens, remainingContextTokens, this.maxContextTokens);
|
|
|
|
}
|
|
|
|
|
|
|
|
return { payload, tokenCountMap, promptTokens, messages: orderedWithInstructions };
|
|
|
|
}
|
|
|
|
|
|
|
|
async sendMessage(message, opts = {}) {
|
2023-07-14 09:36:49 -04:00
|
|
|
const { user, conversationId, responseMessageId, saveOptions, userMessage } =
|
|
|
|
await this.handleStartMethods(message, opts);
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
|
2023-07-13 18:35:15 -07:00
|
|
|
this.user = user;
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
// It's not necessary to push to currentMessages
|
|
|
|
// depending on subclass implementation of handling messages
|
|
|
|
this.currentMessages.push(userMessage);
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|
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|
|
2023-07-14 09:36:49 -04:00
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|
let {
|
|
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prompt: payload,
|
|
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tokenCountMap,
|
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promptTokens,
|
|
|
|
} = await this.buildMessages(
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
this.currentMessages,
|
2023-07-06 16:45:39 -04:00
|
|
|
// When the userMessage is pushed to currentMessages, the parentMessage is the userMessageId.
|
|
|
|
// this only matters when buildMessages is utilizing the parentMessageId, and may vary on implementation
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
userMessage.messageId,
|
|
|
|
this.getBuildMessagesOptions(opts),
|
|
|
|
);
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('payload');
|
|
|
|
console.debug(payload);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (tokenCountMap) {
|
2023-07-14 09:36:49 -04:00
|
|
|
console.dir(tokenCountMap, { depth: null });
|
2023-07-06 16:45:39 -04:00
|
|
|
if (tokenCountMap[userMessage.messageId]) {
|
|
|
|
userMessage.tokenCount = tokenCountMap[userMessage.messageId];
|
|
|
|
console.log('userMessage.tokenCount', userMessage.tokenCount);
|
|
|
|
console.log('userMessage', userMessage);
|
|
|
|
}
|
|
|
|
|
|
|
|
payload = payload.map((message) => {
|
|
|
|
const messageWithoutTokenCount = message;
|
|
|
|
delete messageWithoutTokenCount.tokenCount;
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
return messageWithoutTokenCount;
|
|
|
|
});
|
|
|
|
this.handleTokenCountMap(tokenCountMap);
|
|
|
|
}
|
|
|
|
|
|
|
|
await this.saveMessageToDatabase(userMessage, saveOptions, user);
|
|
|
|
const responseMessage = {
|
|
|
|
messageId: responseMessageId,
|
|
|
|
conversationId,
|
|
|
|
parentMessageId: userMessage.messageId,
|
|
|
|
isCreatedByUser: false,
|
|
|
|
model: this.modelOptions.model,
|
|
|
|
sender: this.sender,
|
|
|
|
text: await this.sendCompletion(payload, opts),
|
|
|
|
promptTokens,
|
|
|
|
};
|
|
|
|
|
|
|
|
if (tokenCountMap && this.getTokenCountForResponse) {
|
|
|
|
responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
|
|
|
|
responseMessage.completionTokens = responseMessage.tokenCount;
|
|
|
|
}
|
|
|
|
await this.saveMessageToDatabase(responseMessage, saveOptions, user);
|
|
|
|
delete responseMessage.tokenCount;
|
|
|
|
return responseMessage;
|
|
|
|
}
|
|
|
|
|
|
|
|
async getConversation(conversationId, user = null) {
|
|
|
|
return await getConvo(user, conversationId);
|
|
|
|
}
|
|
|
|
|
|
|
|
async loadHistory(conversationId, parentMessageId = null) {
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('Loading history for conversation', conversationId, parentMessageId);
|
|
|
|
}
|
|
|
|
|
|
|
|
const messages = (await getMessages({ conversationId })) || [];
|
|
|
|
|
|
|
|
if (messages.length === 0) {
|
|
|
|
return [];
|
|
|
|
}
|
|
|
|
|
|
|
|
let mapMethod = null;
|
|
|
|
if (this.getMessageMapMethod) {
|
|
|
|
mapMethod = this.getMessageMapMethod();
|
|
|
|
}
|
|
|
|
|
|
|
|
return this.constructor.getMessagesForConversation(messages, parentMessageId, mapMethod);
|
|
|
|
}
|
|
|
|
|
|
|
|
async saveMessageToDatabase(message, endpointOptions, user = null) {
|
2023-07-07 02:03:23 -04:00
|
|
|
await saveMessage({ ...message, unfinished: false, cancelled: false });
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
await saveConvo(user, {
|
|
|
|
conversationId: message.conversationId,
|
|
|
|
endpoint: this.options.endpoint,
|
2023-07-14 09:36:49 -04:00
|
|
|
...endpointOptions,
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
async updateMessageInDatabase(message) {
|
|
|
|
await updateMessage(message);
|
|
|
|
}
|
|
|
|
|
|
|
|
/**
|
2023-07-14 09:36:49 -04:00
|
|
|
* Iterate through messages, building an array based on the parentMessageId.
|
|
|
|
* Each message has an id and a parentMessageId. The parentMessageId is the id of the message that this message is a reply to.
|
|
|
|
* @param messages
|
|
|
|
* @param parentMessageId
|
|
|
|
* @returns {*[]} An array containing the messages in the order they should be displayed, starting with the root message.
|
|
|
|
*/
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
static getMessagesForConversation(messages, parentMessageId, mapMethod = null) {
|
|
|
|
if (!messages || messages.length === 0) {
|
|
|
|
return [];
|
|
|
|
}
|
|
|
|
|
|
|
|
const orderedMessages = [];
|
|
|
|
let currentMessageId = parentMessageId;
|
|
|
|
while (currentMessageId) {
|
2023-07-14 09:36:49 -04:00
|
|
|
const message = messages.find((msg) => {
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
const messageId = msg.messageId ?? msg.id;
|
|
|
|
return messageId === currentMessageId;
|
|
|
|
});
|
|
|
|
if (!message) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
orderedMessages.unshift(message);
|
|
|
|
currentMessageId = message.parentMessageId;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (mapMethod) {
|
|
|
|
return orderedMessages.map(mapMethod);
|
|
|
|
}
|
|
|
|
|
|
|
|
return orderedMessages;
|
|
|
|
}
|
|
|
|
|
|
|
|
/**
|
2023-07-14 09:36:49 -04:00
|
|
|
* Algorithm adapted from "6. Counting tokens for chat API calls" of
|
|
|
|
* https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
|
|
|
|
*
|
|
|
|
* An additional 2 tokens need to be added for metadata after all messages have been counted.
|
|
|
|
*
|
|
|
|
* @param {*} message
|
|
|
|
*/
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
getTokenCountForMessage(message) {
|
|
|
|
let tokensPerMessage;
|
|
|
|
let nameAdjustment;
|
|
|
|
if (this.modelOptions.model.startsWith('gpt-4')) {
|
|
|
|
tokensPerMessage = 3;
|
|
|
|
nameAdjustment = 1;
|
|
|
|
} else {
|
|
|
|
tokensPerMessage = 4;
|
|
|
|
nameAdjustment = -1;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('getTokenCountForMessage', message);
|
|
|
|
}
|
|
|
|
|
|
|
|
// Map each property of the message to the number of tokens it contains
|
|
|
|
const propertyTokenCounts = Object.entries(message).map(([key, value]) => {
|
|
|
|
if (key === 'tokenCount' || typeof value !== 'string') {
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
// Count the number of tokens in the property value
|
|
|
|
const numTokens = this.getTokenCount(value);
|
|
|
|
|
|
|
|
// Adjust by `nameAdjustment` tokens if the property key is 'name'
|
2023-07-14 09:36:49 -04:00
|
|
|
const adjustment = key === 'name' ? nameAdjustment : 0;
|
refactor: Client Classes & Azure OpenAI as a separate Endpoint (#532)
* refactor: start new client classes, test localAi support
* feat: create base class, extend chatgpt from base
* refactor(BaseClient.js): change userId parameter to user
refactor(BaseClient.js): change userId parameter to user
feat(OpenAIClient.js): add sendMessage method
refactor(OpenAIClient.js): change getConversation method to use user parameter instead of userId
refactor(OpenAIClient.js): change saveMessageToDatabase method to use user parameter instead of userId
refactor(OpenAIClient.js): change buildPrompt method to use messages parameter instead of orderedMessages
feat(index.js): export client classes
refactor(askGPTPlugins.js): use req.body.token or process.env.OPENAI_API_KEY as OpenAI API key
refactor(index.js): comment out askOpenAI route
feat(index.js): add openAI route
feat(openAI.js): add new route for OpenAI API requests with support for progress updates and aborting requests.
* refactor(BaseClient.js): use optional chaining operator to access messageId property
refactor(OpenAIClient.js): use orderedMessages instead of messages to build prompt
refactor(OpenAIClient.js): use optional chaining operator to access messageId property
refactor(fetch-polyfill.js): remove fetch polyfill
refactor(openAI.js): comment out debug option in clientOptions
* refactor: update import statements and remove unused imports in several files
feat: add getAzureCredentials function to azureUtils module
docs: update comments in azureUtils module
* refactor(utils): rename migrateConversations to migrateDataToFirstUser for clarity and consistency
* feat(chatgpt-client.js): add getAzureCredentials function to retrieve Azure credentials
feat(chatgpt-client.js): use getAzureCredentials function to generate reverseProxyUrl
feat(OpenAIClient.js): add isChatCompletion property to determine if chat completion model is used
feat(OpenAIClient.js): add saveOptions parameter to sendMessage and buildPrompt methods
feat(OpenAIClient.js): modify buildPrompt method to handle chat completion model
feat(openAI.js): modify endpointOption to include modelOptions instead of individual options
refactor(OpenAIClient.js): modify getDelta property to use isChatCompletion property instead of isChatGptModel property
refactor(OpenAIClient.js): modify sendMessage method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify buildPrompt method to use saveOptions parameter instead of modelOptions parameter
refactor(OpenAIClient.js): modify ask method to include endpointOption parameter
* chore: delete draft file
* refactor(OpenAIClient.js): extract sendCompletion method from sendMessage method for reusability
* refactor(BaseClient.js): move sendMessage method to BaseClient class
feat(OpenAIClient.js): inherit from BaseClient class and implement necessary methods and properties for OpenAIClient class.
* refactor(BaseClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
feat(BaseClient.js): add buildMessages method to BaseClient class
fix(ChatGPTClient.js): use message.text instead of message.message
refactor(ChatGPTClient.js): rename buildPromptBody to buildMessagesBody
refactor(ChatGPTClient.js): remove console.debug statement and add debug log for prompt variable
refactor(OpenAIClient.js): move setOptions method to the bottom of the class
feat(OpenAIClient.js): add support for cl100k_base encoding
feat(OpenAIClient.js): add support for unofficial chat GPT models
feat(OpenAIClient.js): add support for custom modelOptions
feat(OpenAIClient.js): add caching for tokenizers
feat(OpenAIClient.js): add freeAndInitializeEncoder method to free and reinitialize tokenizers
refactor(OpenAIClient.js): rename getBuildPromptOptions to getBuildMessagesOptions
refactor(OpenAIClient.js): rename buildPrompt to buildMessages
refactor(OpenAIClient.js): remove endpointOption from ask function arguments in openAI.js
* refactor(ChatGPTClient.js, OpenAIClient.js): improve code readability and consistency
- In ChatGPTClient.js, update the roleLabel and messageString variables to handle cases where the message object does not have an isCreatedByUser property or a role property with a value of 'user'.
- In OpenAIClient.js, rename the freeAndInitializeEncoder method to freeAndResetEncoder to better reflect its functionality. Also, update the method calls to reflect the new name. Additionally, update the getTokenCount method to handle errors by calling the freeAndResetEncoder method instead of the now-renamed freeAndInitializeEncoder method.
* refactor(OpenAIClient.js): extract instructions object to a separate variable and add it to payload after formatted messages
fix(OpenAIClient.js): handle cases where progressMessage.choices is undefined or empty
* refactor(BaseClient.js): extract addInstructions method from sendMessage method
feat(OpenAIClient.js): add maxTokensMap object to map maximum tokens for each model
refactor(OpenAIClient.js): use addInstructions method in buildMessages method instead of manually building the payload list
* refactor(OpenAIClient.js): remove unnecessary condition for modelOptions.model property in buildMessages method
* feat(BaseClient.js): add support for token count tracking and context strategy
feat(OpenAIClient.js): add support for token count tracking and context strategy
feat(Message.js): add tokenCount field to Message schema and updateMessage function
* refactor(BaseClient.js): add support for refining messages based on token limit
feat(OpenAIClient.js): add support for context refinement strategy
refactor(OpenAIClient.js): use context refinement strategy in message sending
refactor(server/index.js): improve code readability by breaking long lines
* refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` for clarity
feat(BaseClient.js): add `refinePrompt` and `refinePromptTemplate` to handle message refinement
feat(BaseClient.js): add `refineMessages` method to refine messages
feat(BaseClient.js): add `handleContextStrategy` method to handle context strategy
feat(OpenAIClient.js): add `abortController` to `buildPrompt` method options
refactor(OpenAIClient.js): change `payload` and `tokenCountMap` to let variables in `handleContextStrategy` method
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `handleContextStrategy` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContextTokens` in `getMessagesWithinTokenLimit` method for consistency
refactor(BaseClient.js): change `remainingContext` to `remainingContext
* chore(openAI.js): comment out contextStrategy option in clientOptions
* chore(openAI.js): comment out debug option in clientOptions object
* test: BaseClient tests in progress
* test: Complete OpenAIClient & BaseClient tests
* fix(OpenAIClient.js): remove unnecessary whitespace
fix(OpenAIClient.js): remove unused variables and comments
fix(OpenAIClient.test.js): combine getTokenCount and freeAndResetEncoder tests
* chore(.eslintrc.js): add rule for maximum of 1 empty line
feat(ask/openAI.js): add abortMessage utility function
fix(ask/openAI.js): handle error and abort message if partial text is less than 2 characters
feat(utils/index.js): export abortMessage utility function
* test: complete additional tests
* feat: Azure OpenAI as a separate endpoint
* chore: remove extraneous console logs
* fix(azureOpenAI): use chatCompletion endpoint
* chore(initializeClient.js): delete initializeClient.js file
chore(askOpenAI.js): delete old OpenAI route handler
chore(handlers.js): remove trailing whitespace in thought variable assignment
* chore(chatgpt-client.js): remove unused chatgpt-client.js file
refactor(index.js): remove askClient import and export from index.js
* chore(chatgpt-client.tokens.js): update test script for memory usage and encoding performance
The test script in `chatgpt-client.tokens.js` has been updated to measure the memory usage and encoding performance of the client. The script now includes information about the initial memory usage, peak memory usage, final memory usage, and memory usage after a timeout. It also provides insights into the number of encoding requests that can be processed per second.
The script has been modified to use the `OpenAIClient` class instead of the `ChatGPTClient` class. Additionally, the number of iterations for the encoding loop has been reduced to 10,000.
A timeout function has been added to simulate a delay of 15 seconds. After the timeout, the memory usage is measured again.
The script now handles uncaught exceptions and logs any errors that occur, except for errors related to failed fetch requests.
Note: This is a test script and should not be used in production
* feat(FakeClient.js): add a new class `FakeClient` that extends `BaseClient` and implements methods for a fake client
feat(FakeClient.js): implement the `setOptions` method to handle options for the fake client
feat(FakeClient.js): implement the `initializeFakeClient` function to initialize a fake client with options and fake messages
fix(OpenAIClient.js): remove duplicate `maxTokensMap` import and use the one from utils
feat(BaseClient): return promptTokens and completionTokens
* refactor(gptPlugins): refactor ChatAgent to PluginsClient, which extends OpenAIClient
* refactor: client paths
* chore(jest.config.js): remove jest.config.js file
* fix(PluginController.js): update file path to manifest.json
feat(gptPlugins.js): add support for aborting messages
refactor(ask/index.js): rename askGPTPlugins to gptPlugins for consistency
* fix(BaseClient.js): fix spacing in generateTextStream function signature
refactor(BaseClient.js): remove unnecessary push to currentMessages in generateUserMessage function
refactor(BaseClient.js): remove unnecessary push to currentMessages in handleStartMethods function
refactor(PluginsClient.js): remove unused variables and date formatting in constructor
refactor(PluginsClient.js): simplify mapping of pastMessages in getCompletionPayload function
* refactor(GoogleClient): GoogleClient now extends BaseClient
* chore(.env.example): add AZURE_OPENAI_MODELS variable
fix(api/routes/ask/gptPlugins.js): enable Azure integration if PLUGINS_USE_AZURE is true
fix(api/routes/endpoints.js): getOpenAIModels function now accepts options, use AZURE_OPENAI_MODELS if PLUGINS_USE_AZURE is true
fix(client/components/Endpoints/OpenAI/Settings.jsx): remove console.log statement
docs(features/azure.md): add documentation for Azure OpenAI integration and environment variables
* fix(e2e:popup): includes the icon + endpoint names in role, name property
2023-07-03 16:51:12 -04:00
|
|
|
return numTokens + adjustment;
|
|
|
|
});
|
|
|
|
|
|
|
|
if (this.options.debug) {
|
|
|
|
console.debug('propertyTokenCounts', propertyTokenCounts);
|
|
|
|
}
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// Sum the number of tokens in all properties and add `tokensPerMessage` for metadata
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return propertyTokenCounts.reduce((a, b) => a + b, tokensPerMessage);
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}
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}
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2023-07-14 09:36:49 -04:00
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module.exports = BaseClient;
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