mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2024-10-03 23:17:08 +03:00
Merge 612dc96b0e into 425a08432b
This commit is contained in:
Jani Ranta
GitHub
commit
7a54a58955
@ -27,6 +27,7 @@
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"dependencies": {
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"@iarna/toml": "^2.2.5",
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"@langchain/anthropic": "^0.2.3",
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"@langchain/azure-openai": "^0.0.4",
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"@langchain/community": "^0.2.16",
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"@langchain/openai": "^0.0.25",
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"@xenova/transformers": "^2.17.1",
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@ -6,7 +6,21 @@ SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
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OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
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GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
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ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
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AZURE = "" # Azure OpenAI API key
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[API_ENDPOINTS]
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SEARXNG = "http://localhost:32768" # SearxNG API URL
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OLLAMA = "" # Ollama API URL - http://host.docker.internal:11434
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OLLAMA = "" # Ollama API URL - http://host.docker.internal:11434
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AZURE = "" # Azure OpenAI Endpoint URL - https://endpointhere.openai.azure.com/
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[AZURE_OPENAI]
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DEPLOYMENT_NAME_GPT35_TURBO = "gpt-35-turbo" # Deployment name for GPT-3.5 turbo
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DEPLOYMENT_NAME_GPT35_TURBO_16K = "gpt-35-turbo-16k" # Deployment name for GPT-3.5-turbo 16k
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DEPLOYMENT_NAME_GPT35_TURBO_INSTRUCT = "gpt-35-turbo-instruct" # Deployment name for GPT-3.5 turbo instruct
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DEPLOYMENT_NAME_GPT4 = "gpt4" # Deployment name for GPT-4
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DEPLOYMENT_NAME_GPT4_32K = "gpt432k" # Deployment name for GPT-4 32K
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DEPLOYMENT_NAME_GPT4_OMNI = "gpt-4o" # Deployment name for GPT-4 omni
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DEPLOYMENT_NAME_GPT4_OMNI_MINI = "gpt-4o-mini" # Deployment name for GPT-4 omni mini
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DEPLOYMENT_NAME_EMBEDDINGS_ADA = "text-embeddings-ada-002" # Deployment name for text embeddings ada 002
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DEPLOYMENT_NAME_EMBEDDINGS_SMALL = "text-embedding-3-small" # Deployment name for text embedding 3 small
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DEPLOYMENT_NAME_EMBEDDINGS_LARGE = "text-embedding-3-large" # Deployment name for text embedding 3 large
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@ -13,10 +13,24 @@ interface Config {
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OPENAI: string;
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GROQ: string;
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ANTHROPIC: string;
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AZURE: string;
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};
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API_ENDPOINTS: {
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SEARXNG: string;
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OLLAMA: string;
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AZURE: string;
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};
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AZURE_OPENAI: {
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DEPLOYMENT_NAME_GPT35_TURBO: string;
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DEPLOYMENT_NAME_GPT35_TURBO_16K: string;
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DEPLOYMENT_NAME_GPT35_TURBO_INSTRUCT: string;
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DEPLOYMENT_NAME_GPT4: string;
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DEPLOYMENT_NAME_GPT4_32K: string;
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DEPLOYMENT_NAME_GPT4_OMNI: string;
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DEPLOYMENT_NAME_GPT4_OMNI_MINI: string;
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DEPLOYMENT_NAME_EMBEDDINGS_ADA: string;
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DEPLOYMENT_NAME_EMBEDDINGS_SMALL: string;
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DEPLOYMENT_NAME_EMBEDDINGS_LARGE: string;
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};
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}
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@ -45,6 +59,40 @@ export const getSearxngApiEndpoint = () =>
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export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
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export const getAzureOpenaiApiKey = () => loadConfig().API_KEYS.AZURE;
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export const getAzureOpenaiEndpoint = () => loadConfig().API_ENDPOINTS.AZURE;
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export const getAzureOpenaiDeploymentNameGpt35 = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT35_TURBO;
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export const getAzureOpenaiDeploymentNameGpt35_16K = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT35_TURBO_16K;
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export const getAzureOpenaiDeploymentNameGpt35TurboInstruct = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT35_TURBO_INSTRUCT;
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export const getAzureOpenaiDeploymentNameGpt4 = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT4;
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export const getAzureOpenaiDeploymentNameGpt4_32K = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT4_32K;
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export const getAzureOpenaiDeploymentNameGpt4o = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT4_OMNI;
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export const getAzureOpenaiDeploymentNameGpt4oMini = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_GPT4_OMNI_MINI;
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export const getAzureOpenaiDeploymentNameEmbeddingsAda = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_EMBEDDINGS_ADA;
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export const getAzureOpenaiDeploymentNameEmbeddingsSmall = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_EMBEDDINGS_SMALL;
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export const getAzureOpenaiDeploymentNameEmbeddingsLarge = () =>
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loadConfig().AZURE_OPENAI.DEPLOYMENT_NAME_EMBEDDINGS_LARGE;
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export const updateConfig = (config: RecursivePartial<Config>) => {
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const currentConfig = loadConfig();
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113
src/lib/providers/azure.ts
Normal file
113
src/lib/providers/azure.ts
Normal file
@ -0,0 +1,113 @@
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import {
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AzureChatOpenAI,
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AzureOpenAIEmbeddings,
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} from '@langchain/azure-openai';
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import { getAzureOpenaiApiKey, getAzureOpenaiEndpoint } from '../../config';
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import {
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getAzureOpenaiDeploymentNameGpt35,
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getAzureOpenaiDeploymentNameGpt35_16K,
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getAzureOpenaiDeploymentNameGpt35TurboInstruct,
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getAzureOpenaiDeploymentNameGpt4,
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getAzureOpenaiDeploymentNameGpt4_32K,
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getAzureOpenaiDeploymentNameGpt4o,
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getAzureOpenaiDeploymentNameGpt4oMini,
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getAzureOpenaiDeploymentNameEmbeddingsAda,
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getAzureOpenaiDeploymentNameEmbeddingsSmall,
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getAzureOpenaiDeploymentNameEmbeddingsLarge,
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} from '../../config';
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import logger from '../../utils/logger';
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export const loadAzureOpenAIChatModels = async () => {
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const azureApiKey = getAzureOpenaiApiKey();
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const azureEndpoint = getAzureOpenaiEndpoint();
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if (!azureApiKey || !azureEndpoint) {
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logger.error('Azure OpenAI API key or endpoint is missing');
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return {};
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}
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const chatModels = {};
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try {
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const deploymentNames = {
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'GPT-3.5 turbo': getAzureOpenaiDeploymentNameGpt35(),
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'GPT-3.5 turbo 16K': getAzureOpenaiDeploymentNameGpt35_16K(),
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'GPT-3.5 turbo instruct':
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getAzureOpenaiDeploymentNameGpt35TurboInstruct(),
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'GPT-4': getAzureOpenaiDeploymentNameGpt4(),
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'GPT-4 32K': getAzureOpenaiDeploymentNameGpt4_32K(),
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'GPT-4 omni': getAzureOpenaiDeploymentNameGpt4o(),
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'GPT-4 omni mini': getAzureOpenaiDeploymentNameGpt4oMini(),
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};
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let atLeastOneModelLoaded = false;
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for (const [modelName, deploymentName] of Object.entries(deploymentNames)) {
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try {
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if (deploymentName) {
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chatModels[modelName] = new AzureChatOpenAI({
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azureOpenAIEndpoint: azureEndpoint,
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azureOpenAIApiKey: azureApiKey,
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azureOpenAIApiDeploymentName: deploymentName,
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temperature: 0.7,
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});
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atLeastOneModelLoaded = true;
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}
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} catch (error) {
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logger.warn(
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`Deployment for ${modelName} is missing or failed to load:`,
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error,
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);
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// Continue the loop even if a specific model fails
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}
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}
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// Check if at least one model is loaded, log error if not
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if (!atLeastOneModelLoaded) {
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logger.error(
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'No chat models for Azure OpenAI could be loaded. At least one model is required.',
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);
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return {};
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}
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return chatModels;
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} catch (error) {
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logger.error('Failed to load Azure OpenAI chat models', error);
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return {};
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}
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};
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export const loadAzureOpenAIEmbeddings = async () => {
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const azureApiKey = getAzureOpenaiApiKey();
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const azureEndpoint = getAzureOpenaiEndpoint();
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if (!azureApiKey || !azureEndpoint) return {};
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try {
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const embeddings = {
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'Text embedding Ada 002': new AzureOpenAIEmbeddings({
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azureOpenAIEndpoint: azureEndpoint,
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azureOpenAIApiKey: azureApiKey,
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azureOpenAIApiDeploymentName:
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getAzureOpenaiDeploymentNameEmbeddingsAda(),
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}),
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'Text embedding 3 small': new AzureOpenAIEmbeddings({
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azureOpenAIEndpoint: azureEndpoint,
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azureOpenAIApiKey: azureApiKey,
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azureOpenAIApiDeploymentName:
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getAzureOpenaiDeploymentNameEmbeddingsSmall(),
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}),
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'Text embedding 3 large': new AzureOpenAIEmbeddings({
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azureOpenAIEndpoint: azureEndpoint,
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azureOpenAIApiKey: azureApiKey,
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azureOpenAIApiDeploymentName:
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getAzureOpenaiDeploymentNameEmbeddingsLarge(),
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}),
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};
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return embeddings;
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} catch (error) {
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logger.error('Failed to load Azure OpenAI embeddings', error);
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return {};
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}
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};
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@ -1,11 +1,13 @@
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import { loadGroqChatModels } from './groq';
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import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
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import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
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import { loadAzureOpenAIChatModels, loadAzureOpenAIEmbeddings } from './azure';
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import { loadAnthropicChatModels } from './anthropic';
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import { loadTransformersEmbeddingsModels } from './transformers';
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const chatModelProviders = {
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openai: loadOpenAIChatModels,
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azure: loadAzureOpenAIChatModels,
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groq: loadGroqChatModels,
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ollama: loadOllamaChatModels,
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anthropic: loadAnthropicChatModels,
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@ -13,6 +15,7 @@ const chatModelProviders = {
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const embeddingModelProviders = {
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openai: loadOpenAIEmbeddingsModels,
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azure: loadAzureOpenAIEmbeddings,
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local: loadTransformersEmbeddingsModels,
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ollama: loadOllamaEmbeddingsModels,
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};
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