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https://github.com/Mintplex-Labs/anything-llm.git
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cf0b24af02
* Add Qdrant support for embedding, chat, and conversation * Change comments
180 lines
4.2 KiB
JavaScript
180 lines
4.2 KiB
JavaScript
const KEY_MAPPING = {
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LLMProvider: {
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envKey: "LLM_PROVIDER",
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checks: [isNotEmpty, supportedLLM],
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},
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// OpenAI Settings
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OpenAiKey: {
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envKey: "OPEN_AI_KEY",
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checks: [isNotEmpty, validOpenAIKey],
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},
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OpenAiModelPref: {
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envKey: "OPEN_MODEL_PREF",
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checks: [isNotEmpty, validOpenAIModel],
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},
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// Azure OpenAI Settings
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AzureOpenAiEndpoint: {
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envKey: "AZURE_OPENAI_ENDPOINT",
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checks: [isNotEmpty, validAzureURL],
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},
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AzureOpenAiKey: {
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envKey: "AZURE_OPENAI_KEY",
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checks: [isNotEmpty],
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},
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AzureOpenAiModelPref: {
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envKey: "OPEN_MODEL_PREF",
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checks: [isNotEmpty],
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},
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AzureOpenAiEmbeddingModelPref: {
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envKey: "EMBEDDING_MODEL_PREF",
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checks: [isNotEmpty],
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},
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// Vector Database Selection Settings
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VectorDB: {
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envKey: "VECTOR_DB",
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checks: [isNotEmpty, supportedVectorDB],
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},
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ChromaEndpoint: {
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envKey: "CHROMA_ENDPOINT",
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checks: [isValidURL, validChromaURL],
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},
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WeaviateEndpoint: {
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envKey: "WEAVIATE_ENDPOINT",
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checks: [isValidURL],
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},
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WeaviateApiKey: {
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envKey: "WEAVIATE_API_KEY",
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checks: [],
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},
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QdrantEndpoint: {
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envKey: "QDRANT_ENDPOINT",
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checks: [isValidURL],
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},
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QdrantApiKey: {
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envKey: "QDRANT_API_KEY",
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checks: [],
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},
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PineConeEnvironment: {
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envKey: "PINECONE_ENVIRONMENT",
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checks: [],
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},
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PineConeKey: {
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envKey: "PINECONE_API_KEY",
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checks: [],
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},
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PineConeIndex: {
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envKey: "PINECONE_INDEX",
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checks: [],
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},
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// System Settings
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AuthToken: {
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envKey: "AUTH_TOKEN",
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checks: [],
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},
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JWTSecret: {
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envKey: "JWT_SECRET",
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checks: [],
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},
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// Not supported yet.
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// 'StorageDir': 'STORAGE_DIR',
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};
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function isNotEmpty(input = "") {
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return !input || input.length === 0 ? "Value cannot be empty" : null;
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}
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function isValidURL(input = "") {
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try {
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new URL(input);
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return null;
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} catch (e) {
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return "URL is not a valid URL.";
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}
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}
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function validOpenAIKey(input = "") {
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return input.startsWith("sk-") ? null : "OpenAI Key must start with sk-";
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}
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function supportedLLM(input = "") {
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return ["openai", "azure"].includes(input);
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}
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function validOpenAIModel(input = "") {
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const validModels = [
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"gpt-4",
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"gpt-4-0613",
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"gpt-4-32k",
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"gpt-4-32k-0613",
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"gpt-3.5-turbo",
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"gpt-3.5-turbo-0613",
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"gpt-3.5-turbo-16k",
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"gpt-3.5-turbo-16k-0613",
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];
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return validModels.includes(input)
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? null
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: `Invalid Model type. Must be one of ${validModels.join(", ")}.`;
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}
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function supportedVectorDB(input = "") {
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const supported = ["chroma", "pinecone", "lancedb", "weaviate", "qdrant"];
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return supported.includes(input)
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? null
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: `Invalid VectorDB type. Must be one of ${supported.join(", ")}.`;
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}
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function validChromaURL(input = "") {
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return input.slice(-1) === "/"
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? `Chroma Instance URL should not end in a trailing slash.`
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: null;
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}
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function validAzureURL(input = "") {
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try {
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new URL(input);
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if (!input.includes("openai.azure.com"))
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return "URL must include openai.azure.com";
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return null;
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} catch {
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return "Not a valid URL";
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}
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}
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// This will force update .env variables which for any which reason were not able to be parsed or
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// read from an ENV file as this seems to be a complicating step for many so allowing people to write
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// to the process will at least alleviate that issue. It does not perform comprehensive validity checks or sanity checks
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// and is simply for debugging when the .env not found issue many come across.
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function updateENV(newENVs = {}) {
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let error = "";
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const validKeys = Object.keys(KEY_MAPPING);
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const ENV_KEYS = Object.keys(newENVs).filter(
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(key) => validKeys.includes(key) && !newENVs[key].includes("******") // strip out answers where the value is all asterisks
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);
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const newValues = {};
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ENV_KEYS.forEach((key) => {
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const { envKey, checks } = KEY_MAPPING[key];
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const value = newENVs[key];
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const errors = checks
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.map((validityCheck) => validityCheck(value))
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.filter((err) => typeof err === "string");
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if (errors.length > 0) {
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error += errors.join("\n");
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return;
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}
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newValues[key] = value;
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process.env[envKey] = value;
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});
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return { newValues, error: error?.length > 0 ? error : false };
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}
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module.exports = {
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updateENV,
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};
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