🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863)

* wip: first pass for azure endpoint schema

* refactor: azure config to return groupMap and modelConfigMap

* wip: naming and schema changes

* refactor(errorsToString): move to data-provider

* feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors

* feat(AppService): load Azure groups

* refactor(azure): use imported types, write `mapModelToAzureConfig`

* refactor: move `extractEnvVariable` to data-provider

* refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests

* refactor(AppService): ensure each model is properly configured on startup

* refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config

* feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file

* refactor: redefine types as well as load azureOpenAI models from config file

* chore(ci): fix test description naming

* feat(azureOpenAI): use validated model grouping for request authentication

* chore: bump data-provider following rebase

* chore: bump config file version noting significant changes

* feat: add title options and switch azure configs for titling and vision requests

* feat: enable azure plugins from config file

* fix(ci): pass tests

* chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated

* fix(fetchModels): early return if apiKey not passed

* chore: fix azure config typing

* refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions

* feat(createLLM): use `azureOpenAIBasePath`

* feat(parsers): resolveHeaders

* refactor(extractBaseURL): handle invalid input

* feat(OpenAIClient): handle headers and baseURL for azureConfig

* fix(ci): pass `OpenAIClient` tests

* chore: extract env var for azureOpenAI group config, baseURL

* docs: azureOpenAI config setup docs

* feat: safe check of potential conflicting env vars that map to unique placeholders

* fix: reset apiKey when model switches from originally requested model (vision or title)

* chore: linting

* docs: CONFIG_PATH notes in custom_config.md
This commit is contained in:
Danny Avila 2024-02-26 14:12:25 -05:00 committed by GitHub
parent 7a55132e42
commit 097a978e5b
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37 changed files with 2066 additions and 394 deletions

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@ -1,8 +1,12 @@
const {
Constants,
FileSources,
EModelEndpoint,
Constants,
defaultSocialLogins,
validateAzureGroups,
mapModelToAzureConfig,
deprecatedAzureVariables,
conflictingAzureVariables,
} = require('librechat-data-provider');
const { initializeFirebase } = require('./Files/Firebase/initialize');
const loadCustomConfig = require('./Config/loadCustomConfig');
@ -62,6 +66,50 @@ const AppService = async (app) => {
handleRateLimits(config?.rateLimits);
const endpointLocals = {};
if (config?.endpoints?.[EModelEndpoint.azureOpenAI]) {
const { groups, titleModel, titleConvo, titleMethod, plugins } =
config.endpoints[EModelEndpoint.azureOpenAI];
const { isValid, modelNames, modelGroupMap, groupMap, errors } = validateAzureGroups(groups);
if (!isValid) {
const errorString = errors.join('\n');
const errorMessage = 'Invalid Azure OpenAI configuration:\n' + errorString;
logger.error(errorMessage);
throw new Error(errorMessage);
}
for (const modelName of modelNames) {
mapModelToAzureConfig({ modelName, modelGroupMap, groupMap });
}
endpointLocals[EModelEndpoint.azureOpenAI] = {
modelNames,
modelGroupMap,
groupMap,
titleConvo,
titleMethod,
titleModel,
plugins,
};
deprecatedAzureVariables.forEach(({ key, description }) => {
if (process.env[key]) {
logger.warn(
`The \`${key}\` environment variable (related to ${description}) should not be used in combination with the \`azureOpenAI\` endpoint configuration, as you will experience conflicts and errors.`,
);
}
});
conflictingAzureVariables.forEach(({ key }) => {
if (process.env[key]) {
logger.warn(
`The \`${key}\` environment variable should not be used in combination with the \`azureOpenAI\` endpoint configuration, as you may experience with the defined placeholders for mapping to the current model grouping using the same name.`,
);
}
});
}
if (config?.endpoints?.[EModelEndpoint.assistants]) {
const { disableBuilder, pollIntervalMs, timeoutMs, supportedIds, excludedIds } =
config.endpoints[EModelEndpoint.assistants];