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config.js
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config.js
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import path from 'path';
const __dirname = path.dirname(new URL(import.meta.url).pathname);
import convict from 'convict';
import HandleBars from './lib/handleBars.js';
import fs from 'fs';
// Schema for config
var config = convict({
pathwaysPath: {
format: String,
default: path.join(process.cwd(), '/pathways'),
env: 'CORTEX_PATHWAYS_PATH'
},
corePathwaysPath: {
format: String,
default: path.join(__dirname, 'pathways'),
env: 'CORTEX_CORE_PATHWAYS_PATH'
},
basePathwayPath: {
format: String,
default: path.join(__dirname, 'pathways', 'basePathway.js'),
env: 'CORTEX_BASE_PATHWAY_PATH'
},
storageConnectionString: {
doc: 'Connection string used for access to Storage',
format: '*',
default: '',
sensitive: true,
env: 'STORAGE_CONNECTION_STRING'
},
PORT: {
format: 'port',
default: 4000,
env: 'CORTEX_PORT'
},
pathways: {
format: Object,
default: {}
},
enableCache: {
format: Boolean,
default: true,
env: 'CORTEX_ENABLE_CACHE'
},
enableGraphqlCache: {
format: Boolean,
default: false,
env: 'CORTEX_ENABLE_GRAPHQL_CACHE'
},
enableRestEndpoints: {
format: Boolean,
default: false,
env: 'CORTEX_ENABLE_REST'
},
cortexApiKey: {
format: String,
default: null,
env: 'CORTEX_API_KEY'
},
defaultModelName: {
format: String,
default: null,
env: 'DEFAULT_MODEL_NAME'
},
models: {
format: Object,
default: {
"oai-td3": {
"type": "OPENAI-COMPLETION",
"url": "{{openaiApiUrl}}",
"headers": {
"Authorization": "Bearer {{openaiApiKey}}",
"Content-Type": "application/json"
},
"params": {
"model": "{{openaiDefaultModel}}"
},
},
"oai-whisper": {
"type": "OPENAI_WHISPER",
"url": "https://api.openai.com/v1/audio/transcriptions",
"headers": {
"Authorization": "Bearer {{OPENAI_API_KEY}}"
},
"params": {
"model": "whisper-1"
},
}
},
env: 'CORTEX_MODELS'
},
openaiDefaultModel: {
format: String,
default: 'text-davinci-003',
env: 'OPENAI_DEFAULT_MODEL'
},
openaiApiKey: {
format: String,
default: null,
env: 'OPENAI_API_KEY',
sensitive: true
},
openaiApiUrl: {
format: String,
default: 'https://api.openai.com/v1/completions',
env: 'OPENAI_API_URL'
},
cortexConfigFile: {
format: String,
default: null,
env: 'CORTEX_CONFIG_FILE'
},
whisperMediaApiUrl: {
format: String,
default: 'null',
env: 'WHISPER_MEDIA_API_URL'
},
});
// Read in environment variables and set up service configuration
const configFile = config.get('cortexConfigFile');
// Load config file
if (configFile && fs.existsSync(configFile)) {
console.log('Loading config from', configFile);
config.loadFile(configFile);
} else {
const openaiApiKey = config.get('openaiApiKey');
if (!openaiApiKey) {
throw console.log('No config file or api key specified. Please set the OPENAI_API_KEY to use OAI or use CORTEX_CONFIG_FILE environment variable to point at the Cortex configuration for your project.');
}else {
console.log(`Using default model with OPENAI_API_KEY environment variable`)
}
}
// Build and load pathways to config
const buildPathways = async (config) => {
const { pathwaysPath, corePathwaysPath, basePathwayPath } = config.getProperties();
// Load cortex base pathway
const basePathway = await import(basePathwayPath).then(module => module.default);
// Load core pathways, default from the Cortex package
console.log('Loading core pathways from', corePathwaysPath)
let loadedPathways = await import(`${corePathwaysPath}/index.js`).then(module => module);
// Load custom pathways and override core pathways if same
if (pathwaysPath && fs.existsSync(pathwaysPath)) {
console.log('Loading custom pathways from', pathwaysPath)
const customPathways = await import(`${pathwaysPath}/index.js`).then(module => module);
loadedPathways = { ...loadedPathways, ...customPathways };
}
// This is where we integrate pathway overrides from the config
// file. This can run into a partial definition issue if the
// config file contains pathways that no longer exist.
const pathways = config.get('pathways');
for (const [key, def] of Object.entries(loadedPathways)) {
const pathway = { ...basePathway, name: key, objName: key.charAt(0).toUpperCase() + key.slice(1), ...def, ...pathways[key] };
pathways[def.name || key] = pathways[key] = pathway;
}
// Add pathways to config
config.load({ pathways })
return pathways;
}
// Build and load models to config
const buildModels = (config) => {
const { models } = config.getProperties();
for (const [key, model] of Object.entries(models)) {
// Compile handlebars templates for models
models[key] = JSON.parse(HandleBars.compile(JSON.stringify(model))({ ...config.getEnv(), ...config.getProperties() }))
}
// Add constructed models to config
config.load({ models });
// Check that models are specified, Cortex cannot run without a model
if (Object.keys(config.get('models')).length <= 0) {
throw console.log('No models specified! Please set the models in your config file or via CORTEX_MODELS environment variable to point at the models for your project.');
}
// Set default model name to the first model in the config in case no default is specified
if (!config.get('defaultModelName')) {
console.log('No default model specified, using first model as default.');
config.load({ defaultModelName: Object.keys(config.get('models'))[0] });
}
return models;
}
// TODO: Perform validation
// config.validate({ allowed: 'strict' });
export { config, buildPathways, buildModels };