LibreChat/api/app/clients/llm/createLLM.js
Danny Avila 1a815f5e19
🎉 feat: Code Interpreter API and Agents Release (#4860)
* feat: Code Interpreter API & File Search Agent Uploads

chore: add back code files

wip: first pass, abstract key dialog

refactor: influence checkbox on key changes

refactor: update localization keys for 'execute code' to 'run code'

wip: run code button

refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions

feat: first pass, API tool calling

fix: handle missing toolId in callTool function and return 404 for non-existent tools

feat: show code outputs

fix: improve error handling in callTool function and log errors

fix: handle potential null value for filepath in attachment destructuring

fix: normalize language before rendering and prevent null return

fix: add loading indicator in RunCode component while executing code

feat: add support for conditional code execution in Markdown components

feat: attachments

refactor: remove bash

fix: pass abort signal to graph/run

refactor: debounce and rate limit tool call

refactor: increase debounce delay for execute function

feat: set code output attachments

feat: image attachments

refactor: apply message context

refactor: pass `partIndex`

feat: toolCall schema/model/methods

feat: block indexing

feat: get tool calls

chore: imports

chore: typing

chore: condense type imports

feat: get tool calls

fix: block indexing

chore: typing

refactor: update tool calls mapping to support multiple results

fix: add unique key to nav link for rendering

wip: first pass, tool call results

refactor: update query cache from successful tool call mutation

style: improve result switcher styling

chore: note on using \`.toObject()\`

feat: add agent_id field to conversation schema

chore: typing

refactor: rename agentMap to agentsMap for consistency

feat: Agent Name as chat input placeholder

chore: bump agents

📦 chore: update @langchain dependencies to latest versions to match agents package

📦 chore: update @librechat/agents dependency to version 1.8.0

fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label

refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads

feat: upload menu

feat: prime message_file resources

feat: implement conversation access validation in chat route

refactor: remove file parameter from processFileUpload and use req.file instead

feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db

feat: prevent duplicate message saves by checking savedMessageIds in AgentController

refactor: skip legacy RAG API handling for agents

feat: add files field to convoSchema

refactor: update request type annotations from Express.Request to ServerRequest in file processing functions

feat: track conversation files

fix: resendFiles, addPreviousAttachments handling

feat: add ID validation for session_id and file_id in download route

feat: entity_id for code file uploads/downloads

fix: code file edge cases

feat: delete related tool calls

feat: add stream rate handling for LLM configuration

feat: enhance system content with attached file information

fix: improve error logging in resource priming function

* WIP: PoC, sequential agents

WIP: PoC Sequential Agents, first pass content data + bump agents package

fix: package-lock

WIP: PoC, o1 support, refactor bufferString

feat: convertJsonSchemaToZod

fix: form issues and schema defining erroneous model

fix: max length issue on agent form instructions, limit conversation messages to sequential agents

feat: add abort signal support to createRun function and AgentClient

feat: PoC, hide prior sequential agent steps

fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data

refactor: use only last contentData, track model for usage data

chore: bump agents package

fix: content parts issue

refactor: filter contentParts to include tool calls and relevant indices

feat: show function calls

refactor: filter context messages to exclude tool calls when no tools are available to the agent

fix: ensure tool call content is not undefined in formatMessages

feat: add agent_id field to conversationPreset schema

feat: hide sequential agents

feat: increase upload toast duration to 10 seconds

* refactor: tool context handling & update Code API Key Dialog

feat: toolContextMap

chore: skipSpecs -> useSpecs

ci: fix handleTools tests

feat: API Key Dialog

* feat: Agent Permissions Admin Controls

feat: replace label with button for prompt permission toggle

feat: update agent permissions

feat: enable experimental agents and streamline capability configuration

feat: implement access control for agents and enhance endpoint menu items

feat: add welcome message for agent selection in localization

feat: add agents permission to access control and update version to 0.7.57

* fix: update types in useAssistantListMap and useMentions hooks for better null handling

* feat: mention agents

* fix: agent tool resource race conditions when deleting agent tool resource files

* feat: add error handling for code execution with user feedback

* refactor: rename AdminControls to AdminSettings for clarity

* style: add gap to button in AdminSettings for improved layout

* refactor: separate agent query hooks and check access to enable fetching

* fix: remove unused provider from agent initialization options, creates issue with custom endpoints

* refactor: remove redundant/deprecated modelOptions from AgentClient processes

* chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json

* fix: minor styling issues + agent panel uniformity

* fix: agent edge cases when set endpoint is no longer defined

* refactor: remove unused cleanup function call from AppService

* fix: update link in ApiKeyDialog to point to pricing page

* fix: improve type handling and layout calculations in SidePanel component

* fix: add missing localization string for agent selection in SidePanel

* chore: form styling and localizations for upload filesearch/code interpreter

* fix: model selection placeholder logic in AgentConfig component

* style: agent capabilities

* fix: add localization for provider selection and improve dropdown styling in ModelPanel

* refactor: use gpt-4o-mini > gpt-3.5-turbo

* fix: agents configuration for loadDefaultInterface and update related tests

* feat: DALLE Agents support
2024-12-04 15:48:13 -05:00

81 lines
2.7 KiB
JavaScript

const { ChatOpenAI } = require('@langchain/openai');
const { sanitizeModelName, constructAzureURL } = require('~/utils');
const { isEnabled } = require('~/server/utils');
/**
* Creates a new instance of a language model (LLM) for chat interactions.
*
* @param {Object} options - The options for creating the LLM.
* @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
* @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
* @param {Callbacks} [options.callbacks] - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
* @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
* @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
* @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
*
* @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
*
* @example
* const llm = createLLM({
* modelOptions: { modelName: 'gpt-4o-mini', temperature: 0.2 },
* configOptions: { basePath: 'https://example.api/path' },
* callbacks: { onMessage: handleMessage },
* openAIApiKey: 'your-api-key'
* });
*/
function createLLM({
modelOptions,
configOptions,
callbacks,
streaming = false,
openAIApiKey,
azure = {},
}) {
let credentials = { openAIApiKey };
let configuration = {
apiKey: openAIApiKey,
};
/** @type {AzureOptions} */
let azureOptions = {};
if (azure) {
const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
credentials = {};
configuration = {};
azureOptions = azure;
azureOptions.azureOpenAIApiDeploymentName = useModelName
? sanitizeModelName(modelOptions.modelName)
: azureOptions.azureOpenAIApiDeploymentName;
}
if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
}
if (azure && configOptions.basePath) {
const azureURL = constructAzureURL({
baseURL: configOptions.basePath,
azureOptions,
});
azureOptions.azureOpenAIBasePath = azureURL.split(
`/${azureOptions.azureOpenAIApiDeploymentName}`,
)[0];
}
return new ChatOpenAI(
{
streaming,
credentials,
configuration,
...azureOptions,
...modelOptions,
...credentials,
callbacks,
},
configOptions,
);
}
module.exports = createLLM;