mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-09 00:10:10 +01:00
f499f1ba59
* Using OpenAI API locally * Infinite prompt input and compression implementation (#332) * WIP on continuous prompt window summary * wip * Move chat out of VDB simplify chat interface normalize LLM model interface have compression abstraction Cleanup compressor TODO: Anthropic stuff * Implement compression for Anythropic Fix lancedb sources * cleanup vectorDBs and check that lance, chroma, and pinecone are returning valid metadata sources * Resolve Weaviate citation sources not working with schema * comment cleanup * disable import on hosted instances (#339) * disable import on hosted instances * Update UI on disabled import/export --------- Co-authored-by: timothycarambat <rambat1010@gmail.com> * Add support for gpt-4-turbo 128K model (#340) resolves #336 Add support for gpt-4-turbo 128K model * 315 show citations based on relevancy score (#316) * settings for similarity score threshold and prisma schema updated * prisma schema migration for adding similarityScore setting * WIP * Min score default change * added similarityThreshold checking for all vectordb providers * linting --------- Co-authored-by: shatfield4 <seanhatfield5@gmail.com> * rename localai to lmstudio * forgot files that were renamed * normalize model interface * add model and context window limits * update LMStudio tagline * Fully working LMStudio integration --------- Co-authored-by: Francisco Bischoff <984592+franzbischoff@users.noreply.github.com> Co-authored-by: Timothy Carambat <rambat1010@gmail.com> Co-authored-by: Sean Hatfield <seanhatfield5@gmail.com>
180 lines
5.5 KiB
JavaScript
180 lines
5.5 KiB
JavaScript
process.env.NODE_ENV === "development"
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? require("dotenv").config({ path: `.env.${process.env.NODE_ENV}` })
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: require("dotenv").config();
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const prisma = require("../utils/prisma");
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const SystemSettings = {
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supportedFields: [
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"multi_user_mode",
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"users_can_delete_workspaces",
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"limit_user_messages",
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"message_limit",
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"logo_filename",
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"telemetry_id",
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],
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currentSettings: async function () {
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const llmProvider = process.env.LLM_PROVIDER || "openai";
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const vectorDB = process.env.VECTOR_DB || "pinecone";
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return {
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CanDebug: !!!process.env.NO_DEBUG,
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RequiresAuth: !!process.env.AUTH_TOKEN,
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AuthToken: !!process.env.AUTH_TOKEN,
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JWTSecret: !!process.env.JWT_SECRET,
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StorageDir: process.env.STORAGE_DIR,
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MultiUserMode: await this.isMultiUserMode(),
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VectorDB: vectorDB,
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EmbeddingEngine: process.env.EMBEDDING_ENGINE,
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...(vectorDB === "pinecone"
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? {
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PineConeEnvironment: process.env.PINECONE_ENVIRONMENT,
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PineConeKey: !!process.env.PINECONE_API_KEY,
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PineConeIndex: process.env.PINECONE_INDEX,
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}
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: {}),
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...(vectorDB === "chroma"
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? {
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ChromaEndpoint: process.env.CHROMA_ENDPOINT,
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ChromaApiHeader: process.env.CHROMA_API_HEADER,
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ChromaApiKey: !!process.env.CHROMA_API_KEY,
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}
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: {}),
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...(vectorDB === "weaviate"
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? {
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WeaviateEndpoint: process.env.WEAVIATE_ENDPOINT,
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WeaviateApiKey: process.env.WEAVIATE_API_KEY,
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}
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: {}),
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...(vectorDB === "qdrant"
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? {
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QdrantEndpoint: process.env.QDRANT_ENDPOINT,
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QdrantApiKey: process.env.QDRANT_API_KEY,
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}
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: {}),
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LLMProvider: llmProvider,
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...(llmProvider === "openai"
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? {
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OpenAiKey: !!process.env.OPEN_AI_KEY,
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OpenAiModelPref: process.env.OPEN_MODEL_PREF || "gpt-3.5-turbo",
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}
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: {}),
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...(llmProvider === "azure"
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? {
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AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
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AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,
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AzureOpenAiModelPref: process.env.OPEN_MODEL_PREF,
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AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
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AzureOpenAiTokenLimit: process.env.AZURE_OPENAI_TOKEN_LIMIT || 4096,
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}
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: {}),
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...(llmProvider === "anthropic"
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? {
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AnthropicApiKey: !!process.env.ANTHROPIC_API_KEY,
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AnthropicModelPref: process.env.ANTHROPIC_MODEL_PREF || "claude-2",
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// For embedding credentials when Anthropic is selected.
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OpenAiKey: !!process.env.OPEN_AI_KEY,
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AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
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AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,
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AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
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}
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: {}),
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...(llmProvider === "lmstudio"
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? {
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LMStudioBasePath: process.env.LMSTUDIO_BASE_PATH,
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LMStudioTokenLimit: process.env.LMSTUDIO_MODEL_TOKEN_LIMIT,
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// For embedding credentials when lmstudio is selected.
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OpenAiKey: !!process.env.OPEN_AI_KEY,
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AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
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AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,
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AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
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}
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: {}),
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};
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},
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get: async function (clause = {}) {
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try {
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const setting = await prisma.system_settings.findFirst({ where: clause });
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return setting || null;
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} catch (error) {
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console.error(error.message);
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return null;
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}
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},
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where: async function (clause = {}, limit) {
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try {
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const settings = await prisma.system_settings.findMany({
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where: clause,
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take: limit || undefined,
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});
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return settings;
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} catch (error) {
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console.error(error.message);
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return [];
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}
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},
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updateSettings: async function (updates = {}) {
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try {
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const updatePromises = Object.keys(updates)
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.filter((key) => this.supportedFields.includes(key))
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.map((key) => {
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return prisma.system_settings.upsert({
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where: { label: key },
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update: {
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value: updates[key] === null ? null : String(updates[key]),
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},
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create: {
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label: key,
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value: updates[key] === null ? null : String(updates[key]),
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},
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});
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});
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await Promise.all(updatePromises);
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return { success: true, error: null };
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} catch (error) {
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console.error("FAILED TO UPDATE SYSTEM SETTINGS", error.message);
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return { success: false, error: error.message };
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}
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},
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isMultiUserMode: async function () {
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try {
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const setting = await this.get({ label: "multi_user_mode" });
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return setting?.value === "true";
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} catch (error) {
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console.error(error.message);
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return false;
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}
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},
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currentLogoFilename: async function () {
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try {
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const setting = await this.get({ label: "logo_filename" });
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return setting?.value || null;
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} catch (error) {
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console.error(error.message);
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return null;
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}
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},
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canDeleteWorkspaces: async function () {
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try {
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const setting = await this.get({ label: "users_can_delete_workspaces" });
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return setting?.value === "true";
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} catch (error) {
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console.error(error.message);
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return false;
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}
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},
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};
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module.exports.SystemSettings = SystemSettings;
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