LibreChat/api/server/services/Endpoints/openAI/initialize.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

164 lines
4.8 KiB
JavaScript

const {
ErrorTypes,
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
const { getLLMConfig } = require('~/server/services/Endpoints/openAI/llm');
const { isEnabled, isUserProvided, sleep } = require('~/server/utils');
const { getAzureCredentials } = require('~/utils');
const { OpenAIClient } = require('~/app');
const initializeClient = async ({
req,
res,
endpointOption,
optionsOnly,
overrideEndpoint,
overrideModel,
}) => {
const {
PROXY,
OPENAI_API_KEY,
AZURE_API_KEY,
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
OPENAI_SUMMARIZE,
DEBUG_OPENAI,
} = process.env;
const { key: expiresAt } = req.body;
const modelName = overrideModel ?? req.body.model;
const endpoint = overrideEndpoint ?? req.body.endpoint;
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
const credentials = {
[EModelEndpoint.openAI]: OPENAI_API_KEY,
[EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
};
const baseURLOptions = {
[EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
[EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
};
const userProvidesKey = isUserProvided(credentials[endpoint]);
const userProvidesURL = isUserProvided(baseURLOptions[endpoint]);
let userValues = null;
if (expiresAt && (userProvidesKey || userProvidesURL)) {
checkUserKeyExpiry(expiresAt, endpoint);
userValues = await getUserKeyValues({ userId: req.user.id, name: endpoint });
}
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
const clientOptions = {
contextStrategy,
proxy: PROXY ?? null,
debug: isEnabled(DEBUG_OPENAI),
reverseProxyUrl: baseURL ? baseURL : null,
...endpointOption,
};
const isAzureOpenAI = endpoint === EModelEndpoint.azureOpenAI;
/** @type {false | TAzureConfig} */
const azureConfig = isAzureOpenAI && req.app.locals[EModelEndpoint.azureOpenAI];
if (isAzureOpenAI && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
const azureRate = modelName.includes('gpt-4') ? 30 : 17;
clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
const groupName = modelGroupMap[modelName].group;
clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
apiKey = azureOptions.azureOpenAIApiKey;
clientOptions.azure = !serverless && azureOptions;
if (serverless === true) {
clientOptions.defaultQuery = azureOptions.azureOpenAIApiVersion
? { 'api-version': azureOptions.azureOpenAIApiVersion }
: undefined;
clientOptions.headers['api-key'] = apiKey;
}
} else if (isAzureOpenAI) {
clientOptions.azure = userProvidesKey ? JSON.parse(userValues.apiKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}
/** @type {undefined | TBaseEndpoint} */
const openAIConfig = req.app.locals[EModelEndpoint.openAI];
if (!isAzureOpenAI && openAIConfig) {
clientOptions.streamRate = openAIConfig.streamRate;
}
/** @type {undefined | TBaseEndpoint} */
const allConfig = req.app.locals.all;
if (allConfig) {
clientOptions.streamRate = allConfig.streamRate;
}
if (userProvidesKey & !apiKey) {
throw new Error(
JSON.stringify({
type: ErrorTypes.NO_USER_KEY,
}),
);
}
if (!apiKey) {
throw new Error(`${endpoint} API Key not provided.`);
}
if (optionsOnly) {
const requestOptions = Object.assign(
{
modelOptions: endpointOption.model_parameters,
},
clientOptions,
);
const options = getLLMConfig(apiKey, requestOptions);
if (!clientOptions.streamRate) {
return options;
}
options.llmConfig.callbacks = [
{
handleLLMNewToken: async () => {
await sleep(clientOptions.streamRate);
},
},
];
return options;
}
const client = new OpenAIClient(apiKey, Object.assign({ req, res }, clientOptions));
return {
client,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;