mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-01-05 18:18:51 +01:00
Merge branch 'main' into feat/E2EE
This commit is contained in:
commit
40e59bc55c
206 changed files with 14792 additions and 3465 deletions
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@ -22,8 +22,8 @@ export type ParametersSchema = {
|
|||
|
||||
export type OpenAPISchema = OpenAPIV3.SchemaObject &
|
||||
ParametersSchema & {
|
||||
items?: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject;
|
||||
};
|
||||
items?: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject;
|
||||
};
|
||||
|
||||
export type ApiKeyCredentials = {
|
||||
api_key: string;
|
||||
|
|
@ -43,8 +43,8 @@ export type Credentials = ApiKeyCredentials | OAuthCredentials;
|
|||
type MediaTypeObject =
|
||||
| undefined
|
||||
| {
|
||||
[media: string]: OpenAPIV3.MediaTypeObject | undefined;
|
||||
};
|
||||
[media: string]: OpenAPIV3.MediaTypeObject | undefined;
|
||||
};
|
||||
|
||||
type RequestBodyObject = Omit<OpenAPIV3.RequestBodyObject, 'content'> & {
|
||||
content: MediaTypeObject;
|
||||
|
|
@ -358,19 +358,29 @@ export class ActionRequest {
|
|||
}
|
||||
}
|
||||
|
||||
export function resolveRef(
|
||||
schema: OpenAPIV3.SchemaObject | OpenAPIV3.ReferenceObject | RequestBodyObject,
|
||||
components?: OpenAPIV3.ComponentsObject,
|
||||
): OpenAPIV3.SchemaObject {
|
||||
if ('$ref' in schema && components) {
|
||||
const refPath = schema.$ref.replace(/^#\/components\/schemas\//, '');
|
||||
const resolvedSchema = components.schemas?.[refPath];
|
||||
if (!resolvedSchema) {
|
||||
throw new Error(`Reference ${schema.$ref} not found`);
|
||||
export function resolveRef<
|
||||
T extends
|
||||
| OpenAPIV3.ReferenceObject
|
||||
| OpenAPIV3.SchemaObject
|
||||
| OpenAPIV3.ParameterObject
|
||||
| OpenAPIV3.RequestBodyObject,
|
||||
>(obj: T, components?: OpenAPIV3.ComponentsObject): Exclude<T, OpenAPIV3.ReferenceObject> {
|
||||
if ('$ref' in obj && components) {
|
||||
const refPath = obj.$ref.replace(/^#\/components\//, '').split('/');
|
||||
|
||||
let resolved: unknown = components as Record<string, unknown>;
|
||||
for (const segment of refPath) {
|
||||
if (typeof resolved === 'object' && resolved !== null && segment in resolved) {
|
||||
resolved = (resolved as Record<string, unknown>)[segment];
|
||||
} else {
|
||||
throw new Error(`Could not resolve reference: ${obj.$ref}`);
|
||||
}
|
||||
}
|
||||
return resolveRef(resolvedSchema, components);
|
||||
|
||||
return resolveRef(resolved as typeof obj, components) as Exclude<T, OpenAPIV3.ReferenceObject>;
|
||||
}
|
||||
return schema as OpenAPIV3.SchemaObject;
|
||||
|
||||
return obj as Exclude<T, OpenAPIV3.ReferenceObject>;
|
||||
}
|
||||
|
||||
function sanitizeOperationId(input: string) {
|
||||
|
|
@ -399,7 +409,7 @@ export function openapiToFunction(
|
|||
const operationObj = operation as OpenAPIV3.OperationObject & {
|
||||
'x-openai-isConsequential'?: boolean;
|
||||
} & {
|
||||
'x-strict'?: boolean
|
||||
'x-strict'?: boolean;
|
||||
};
|
||||
|
||||
// Operation ID is used as the function name
|
||||
|
|
@ -415,15 +425,25 @@ export function openapiToFunction(
|
|||
};
|
||||
|
||||
if (operationObj.parameters) {
|
||||
for (const param of operationObj.parameters) {
|
||||
const paramObj = param as OpenAPIV3.ParameterObject;
|
||||
const resolvedSchema = resolveRef(
|
||||
{ ...paramObj.schema } as OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject,
|
||||
for (const param of operationObj.parameters ?? []) {
|
||||
const resolvedParam = resolveRef(
|
||||
param,
|
||||
openapiSpec.components,
|
||||
);
|
||||
parametersSchema.properties[paramObj.name] = resolvedSchema;
|
||||
if (paramObj.required === true) {
|
||||
parametersSchema.required.push(paramObj.name);
|
||||
) as OpenAPIV3.ParameterObject;
|
||||
|
||||
const paramName = resolvedParam.name;
|
||||
if (!paramName || !resolvedParam.schema) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const paramSchema = resolveRef(
|
||||
resolvedParam.schema,
|
||||
openapiSpec.components,
|
||||
) as OpenAPIV3.SchemaObject;
|
||||
|
||||
parametersSchema.properties[paramName] = paramSchema;
|
||||
if (resolvedParam.required) {
|
||||
parametersSchema.required.push(paramName);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -446,7 +466,12 @@ export function openapiToFunction(
|
|||
}
|
||||
}
|
||||
|
||||
const functionSignature = new FunctionSignature(operationId, description, parametersSchema, isStrict);
|
||||
const functionSignature = new FunctionSignature(
|
||||
operationId,
|
||||
description,
|
||||
parametersSchema,
|
||||
isStrict,
|
||||
);
|
||||
functionSignatures.push(functionSignature);
|
||||
|
||||
const actionRequest = new ActionRequest(
|
||||
|
|
@ -544,4 +569,4 @@ export function validateAndParseOpenAPISpec(specString: string): ValidationResul
|
|||
console.error(error);
|
||||
return { status: false, message: 'Error parsing OpenAPI spec.' };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -238,4 +238,14 @@ export const userTerms = () => '/api/user/terms';
|
|||
export const acceptUserTerms = () => '/api/user/terms/accept';
|
||||
export const banner = () => '/api/banner';
|
||||
|
||||
|
||||
export const encryption = () => '/api/user/encryption';
|
||||
|
||||
// Two-Factor Endpoints
|
||||
export const enableTwoFactor = () => '/api/auth/2fa/enable';
|
||||
export const verifyTwoFactor = () => '/api/auth/2fa/verify';
|
||||
export const confirmTwoFactor = () => '/api/auth/2fa/confirm';
|
||||
export const disableTwoFactor = () => '/api/auth/2fa/disable';
|
||||
export const regenerateBackupCodes = () => '/api/auth/2fa/backup/regenerate';
|
||||
export const verifyTwoFactorTemp = () => '/api/auth/2fa/verify-temp';
|
||||
|
||||
|
|
|
|||
|
|
@ -6,8 +6,9 @@ import type {
|
|||
TValidatedAzureConfig,
|
||||
TAzureConfigValidationResult,
|
||||
} from '../src/config';
|
||||
import { errorsToString, extractEnvVariable, envVarRegex } from '../src/parsers';
|
||||
import { extractEnvVariable, envVarRegex } from '../src/utils';
|
||||
import { azureGroupConfigsSchema } from '../src/config';
|
||||
import { errorsToString } from '../src/parsers';
|
||||
|
||||
export const deprecatedAzureVariables = [
|
||||
/* "related to" precedes description text */
|
||||
|
|
|
|||
|
|
@ -1,6 +1,20 @@
|
|||
import { z } from 'zod';
|
||||
import * as s from './schemas';
|
||||
|
||||
type ThinkingConfig = {
|
||||
type: 'enabled';
|
||||
budget_tokens: number;
|
||||
};
|
||||
type AnthropicReasoning = {
|
||||
thinking?: ThinkingConfig | boolean;
|
||||
thinkingBudget?: number;
|
||||
};
|
||||
|
||||
type AnthropicInput = BedrockConverseInput & {
|
||||
additionalModelRequestFields: BedrockConverseInput['additionalModelRequestFields'] &
|
||||
AnthropicReasoning;
|
||||
};
|
||||
|
||||
export const bedrockInputSchema = s.tConversationSchema
|
||||
.pick({
|
||||
/* LibreChat params; optionType: 'conversation' */
|
||||
|
|
@ -21,11 +35,24 @@ export const bedrockInputSchema = s.tConversationSchema
|
|||
temperature: true,
|
||||
topP: true,
|
||||
stop: true,
|
||||
thinking: true,
|
||||
thinkingBudget: true,
|
||||
/* Catch-all fields */
|
||||
topK: true,
|
||||
additionalModelRequestFields: true,
|
||||
})
|
||||
.transform((obj) => s.removeNullishValues(obj))
|
||||
.transform((obj) => {
|
||||
if ((obj as AnthropicInput).additionalModelRequestFields?.thinking != null) {
|
||||
const _obj = obj as AnthropicInput;
|
||||
obj.thinking = !!_obj.additionalModelRequestFields.thinking;
|
||||
obj.thinkingBudget =
|
||||
typeof _obj.additionalModelRequestFields.thinking === 'object'
|
||||
? (_obj.additionalModelRequestFields.thinking as ThinkingConfig)?.budget_tokens
|
||||
: undefined;
|
||||
delete obj.additionalModelRequestFields;
|
||||
}
|
||||
return s.removeNullishValues(obj);
|
||||
})
|
||||
.catch(() => ({}));
|
||||
|
||||
export type BedrockConverseInput = z.infer<typeof bedrockInputSchema>;
|
||||
|
|
@ -49,6 +76,8 @@ export const bedrockInputParser = s.tConversationSchema
|
|||
temperature: true,
|
||||
topP: true,
|
||||
stop: true,
|
||||
thinking: true,
|
||||
thinkingBudget: true,
|
||||
/* Catch-all fields */
|
||||
topK: true,
|
||||
additionalModelRequestFields: true,
|
||||
|
|
@ -87,6 +116,27 @@ export const bedrockInputParser = s.tConversationSchema
|
|||
}
|
||||
});
|
||||
|
||||
/** Default thinking and thinkingBudget for 'anthropic.claude-3-7-sonnet' models, if not defined */
|
||||
if (
|
||||
typeof typedData.model === 'string' &&
|
||||
typedData.model.includes('anthropic.claude-3-7-sonnet')
|
||||
) {
|
||||
if (additionalFields.thinking === undefined) {
|
||||
additionalFields.thinking = true;
|
||||
} else if (additionalFields.thinking === false) {
|
||||
delete additionalFields.thinking;
|
||||
delete additionalFields.thinkingBudget;
|
||||
}
|
||||
|
||||
if (additionalFields.thinking === true && additionalFields.thinkingBudget === undefined) {
|
||||
additionalFields.thinkingBudget = 2000;
|
||||
}
|
||||
additionalFields.anthropic_beta = ['output-128k-2025-02-19'];
|
||||
} else if (additionalFields.thinking != null || additionalFields.thinkingBudget != null) {
|
||||
delete additionalFields.thinking;
|
||||
delete additionalFields.thinkingBudget;
|
||||
}
|
||||
|
||||
if (Object.keys(additionalFields).length > 0) {
|
||||
typedData.additionalModelRequestFields = {
|
||||
...((typedData.additionalModelRequestFields as Record<string, unknown> | undefined) || {}),
|
||||
|
|
@ -104,9 +154,34 @@ export const bedrockInputParser = s.tConversationSchema
|
|||
})
|
||||
.catch(() => ({}));
|
||||
|
||||
/**
|
||||
* Configures the "thinking" parameter based on given input and thinking options.
|
||||
*
|
||||
* @param data - The parsed Bedrock request options object
|
||||
* @returns The object with thinking configured appropriately
|
||||
*/
|
||||
function configureThinking(data: AnthropicInput): AnthropicInput {
|
||||
const updatedData = { ...data };
|
||||
if (updatedData.additionalModelRequestFields?.thinking === true) {
|
||||
updatedData.maxTokens = updatedData.maxTokens ?? updatedData.maxOutputTokens ?? 8192;
|
||||
delete updatedData.maxOutputTokens;
|
||||
const thinkingConfig: AnthropicReasoning['thinking'] = {
|
||||
type: 'enabled',
|
||||
budget_tokens: updatedData.additionalModelRequestFields.thinkingBudget ?? 2000,
|
||||
};
|
||||
|
||||
if (thinkingConfig.budget_tokens > updatedData.maxTokens) {
|
||||
thinkingConfig.budget_tokens = Math.floor(updatedData.maxTokens * 0.9);
|
||||
}
|
||||
updatedData.additionalModelRequestFields.thinking = thinkingConfig;
|
||||
delete updatedData.additionalModelRequestFields.thinkingBudget;
|
||||
}
|
||||
return updatedData;
|
||||
}
|
||||
|
||||
export const bedrockOutputParser = (data: Record<string, unknown>) => {
|
||||
const knownKeys = [...Object.keys(s.tConversationSchema.shape), 'topK', 'top_k'];
|
||||
const result: Record<string, unknown> = {};
|
||||
let result: Record<string, unknown> = {};
|
||||
|
||||
// Extract known fields from the root level
|
||||
Object.entries(data).forEach(([key, value]) => {
|
||||
|
|
@ -125,6 +200,8 @@ export const bedrockOutputParser = (data: Record<string, unknown>) => {
|
|||
if (knownKeys.includes(key)) {
|
||||
if (key === 'top_k') {
|
||||
result['topK'] = value;
|
||||
} else if (key === 'thinking' || key === 'thinkingBudget') {
|
||||
return;
|
||||
} else {
|
||||
result[key] = value;
|
||||
}
|
||||
|
|
@ -140,8 +217,11 @@ export const bedrockOutputParser = (data: Record<string, unknown>) => {
|
|||
result.maxTokens = result.maxOutputTokens;
|
||||
}
|
||||
|
||||
// Remove additionalModelRequestFields from the result
|
||||
delete result.additionalModelRequestFields;
|
||||
result = configureThinking(result as AnthropicInput);
|
||||
// Remove additionalModelRequestFields from the result if it doesn't thinking config
|
||||
if ((result as AnthropicInput).additionalModelRequestFields?.thinking == null) {
|
||||
delete result.additionalModelRequestFields;
|
||||
}
|
||||
|
||||
return result;
|
||||
};
|
||||
|
|
|
|||
|
|
@ -2,8 +2,8 @@ import { z } from 'zod';
|
|||
import type { ZodError } from 'zod';
|
||||
import type { TModelsConfig } from './types';
|
||||
import { EModelEndpoint, eModelEndpointSchema } from './schemas';
|
||||
import { fileConfigSchema } from './file-config';
|
||||
import { specsConfigSchema, TSpecsConfig } from './models';
|
||||
import { fileConfigSchema } from './file-config';
|
||||
import { FileSources } from './types/files';
|
||||
import { MCPServersSchema } from './mcp';
|
||||
|
||||
|
|
@ -15,6 +15,7 @@ export const defaultRetrievalModels = [
|
|||
'o1-preview',
|
||||
'o1-mini-2024-09-12',
|
||||
'o1-mini',
|
||||
'o3-mini',
|
||||
'chatgpt-4o-latest',
|
||||
'gpt-4o-2024-05-13',
|
||||
'gpt-4o-2024-08-06',
|
||||
|
|
@ -31,6 +32,27 @@ export const defaultRetrievalModels = [
|
|||
'gpt-4-1106',
|
||||
];
|
||||
|
||||
export const excludedKeys = new Set([
|
||||
'conversationId',
|
||||
'title',
|
||||
'iconURL',
|
||||
'greeting',
|
||||
'endpoint',
|
||||
'endpointType',
|
||||
'createdAt',
|
||||
'updatedAt',
|
||||
'expiredAt',
|
||||
'messages',
|
||||
'isArchived',
|
||||
'tags',
|
||||
'user',
|
||||
'__v',
|
||||
'_id',
|
||||
'tools',
|
||||
'model',
|
||||
'files',
|
||||
]);
|
||||
|
||||
export enum SettingsViews {
|
||||
default = 'default',
|
||||
advanced = 'advanced',
|
||||
|
|
@ -446,6 +468,7 @@ export const intefaceSchema = z
|
|||
})
|
||||
.optional(),
|
||||
termsOfService: termsOfServiceSchema.optional(),
|
||||
customWelcome: z.string().optional(),
|
||||
endpointsMenu: z.boolean().optional(),
|
||||
modelSelect: z.boolean().optional(),
|
||||
parameters: z.boolean().optional(),
|
||||
|
|
@ -456,6 +479,7 @@ export const intefaceSchema = z
|
|||
prompts: z.boolean().optional(),
|
||||
agents: z.boolean().optional(),
|
||||
temporaryChat: z.boolean().optional(),
|
||||
runCode: z.boolean().optional(),
|
||||
})
|
||||
.default({
|
||||
endpointsMenu: true,
|
||||
|
|
@ -468,6 +492,7 @@ export const intefaceSchema = z
|
|||
prompts: true,
|
||||
agents: true,
|
||||
temporaryChat: true,
|
||||
runCode: true,
|
||||
});
|
||||
|
||||
export type TInterfaceConfig = z.infer<typeof intefaceSchema>;
|
||||
|
|
@ -627,6 +652,8 @@ export const alternateName = {
|
|||
const sharedOpenAIModels = [
|
||||
'gpt-4o-mini',
|
||||
'gpt-4o',
|
||||
'gpt-4.5-preview',
|
||||
'gpt-4.5-preview-2025-02-27',
|
||||
'gpt-3.5-turbo',
|
||||
'gpt-3.5-turbo-0125',
|
||||
'gpt-4-turbo',
|
||||
|
|
@ -645,6 +672,8 @@ const sharedOpenAIModels = [
|
|||
];
|
||||
|
||||
const sharedAnthropicModels = [
|
||||
'claude-3-7-sonnet-latest',
|
||||
'claude-3-7-sonnet-20250219',
|
||||
'claude-3-5-haiku-20241022',
|
||||
'claude-3-5-sonnet-20241022',
|
||||
'claude-3-5-sonnet-20240620',
|
||||
|
|
@ -697,14 +726,14 @@ export const bedrockModels = [
|
|||
|
||||
export const defaultModels = {
|
||||
[EModelEndpoint.azureAssistants]: sharedOpenAIModels,
|
||||
[EModelEndpoint.assistants]: ['chatgpt-4o-latest', ...sharedOpenAIModels],
|
||||
[EModelEndpoint.assistants]: [...sharedOpenAIModels, 'chatgpt-4o-latest'],
|
||||
[EModelEndpoint.agents]: sharedOpenAIModels, // TODO: Add agent models (agentsModels)
|
||||
[EModelEndpoint.google]: [
|
||||
// Shared Google Models between Vertex AI & Gen AI
|
||||
// Gemini 2.0 Models
|
||||
'gemini-2.0-flash-001',
|
||||
'gemini-2.0-flash-exp',
|
||||
'gemini-2.0-flash-lite-preview-02-05',
|
||||
'gemini-2.0-flash-lite',
|
||||
'gemini-2.0-pro-exp-02-05',
|
||||
// Gemini 1.5 Models
|
||||
'gemini-1.5-flash-001',
|
||||
|
|
@ -716,8 +745,8 @@ export const defaultModels = {
|
|||
],
|
||||
[EModelEndpoint.anthropic]: sharedAnthropicModels,
|
||||
[EModelEndpoint.openAI]: [
|
||||
'chatgpt-4o-latest',
|
||||
...sharedOpenAIModels,
|
||||
'chatgpt-4o-latest',
|
||||
'gpt-4-vision-preview',
|
||||
'gpt-3.5-turbo-instruct-0914',
|
||||
'gpt-3.5-turbo-instruct',
|
||||
|
|
@ -782,6 +811,7 @@ export const supportsBalanceCheck = {
|
|||
};
|
||||
|
||||
export const visionModels = [
|
||||
'gpt-4.5',
|
||||
'gpt-4o',
|
||||
'gpt-4o-mini',
|
||||
'o1',
|
||||
|
|
@ -830,7 +860,7 @@ export function validateVisionModel({
|
|||
return visionModels.concat(additionalModels).some((visionModel) => model.includes(visionModel));
|
||||
}
|
||||
|
||||
export const imageGenTools = new Set(['dalle', 'dall-e', 'stable-diffusion']);
|
||||
export const imageGenTools = new Set(['dalle', 'dall-e', 'stable-diffusion', 'flux']);
|
||||
|
||||
/**
|
||||
* Enum for collections using infinite queries
|
||||
|
|
|
|||
|
|
@ -775,8 +775,40 @@ export function getBanner(): Promise<t.TBannerResponse> {
|
|||
return request.get(endpoints.banner());
|
||||
}
|
||||
|
||||
|
||||
export const updateUserEncryption = (
|
||||
payload: t.UpdateUserEncryptionRequest,
|
||||
): Promise<t.UpdateUserEncryptionResponse> => {
|
||||
return request.put(endpoints.encryption(), payload);
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
export function enableTwoFactor(): Promise<t.TEnable2FAResponse> {
|
||||
return request.get(endpoints.enableTwoFactor());
|
||||
}
|
||||
|
||||
export function verifyTwoFactor(
|
||||
payload: t.TVerify2FARequest,
|
||||
): Promise<t.TVerify2FAResponse> {
|
||||
return request.post(endpoints.verifyTwoFactor(), payload);
|
||||
}
|
||||
|
||||
export function confirmTwoFactor(
|
||||
payload: t.TVerify2FARequest,
|
||||
): Promise<t.TVerify2FAResponse> {
|
||||
return request.post(endpoints.confirmTwoFactor(), payload);
|
||||
}
|
||||
|
||||
export function disableTwoFactor(): Promise<t.TDisable2FAResponse> {
|
||||
return request.post(endpoints.disableTwoFactor());
|
||||
}
|
||||
|
||||
export function regenerateBackupCodes(): Promise<t.TRegenerateBackupCodesResponse> {
|
||||
return request.post(endpoints.regenerateBackupCodes());
|
||||
}
|
||||
|
||||
export function verifyTwoFactorTemp(
|
||||
payload: t.TVerify2FATempRequest,
|
||||
): Promise<t.TVerify2FATempResponse> {
|
||||
return request.post(endpoints.verifyTwoFactorTemp(), payload);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -31,5 +31,6 @@ export { default as request } from './request';
|
|||
export { dataService };
|
||||
import * as dataService from './data-service';
|
||||
/* general helpers */
|
||||
export * from './utils';
|
||||
export * from './actions';
|
||||
export { default as createPayload } from './createPayload';
|
||||
|
|
|
|||
|
|
@ -68,4 +68,6 @@ export enum MutationKeys {
|
|||
deleteUser = 'deleteUser',
|
||||
updateRole = 'updateRole',
|
||||
updateUserEncryption = 'updateUserEncryption',
|
||||
enableTwoFactor = 'enableTwoFactor',
|
||||
verifyTwoFactor = 'verifyTwoFactor',
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import { z } from 'zod';
|
||||
import { extractEnvVariable } from './utils';
|
||||
|
||||
const BaseOptionsSchema = z.object({
|
||||
iconPath: z.string().optional(),
|
||||
|
|
@ -18,8 +19,22 @@ export const StdioOptionsSchema = BaseOptionsSchema.extend({
|
|||
* The environment to use when spawning the process.
|
||||
*
|
||||
* If not specified, the result of getDefaultEnvironment() will be used.
|
||||
* Environment variables can be referenced using ${VAR_NAME} syntax.
|
||||
*/
|
||||
env: z.record(z.string(), z.string()).optional(),
|
||||
env: z
|
||||
.record(z.string(), z.string())
|
||||
.optional()
|
||||
.transform((env) => {
|
||||
if (!env) {
|
||||
return env;
|
||||
}
|
||||
|
||||
const processedEnv: Record<string, string> = {};
|
||||
for (const [key, value] of Object.entries(env)) {
|
||||
processedEnv[key] = extractEnvVariable(value);
|
||||
}
|
||||
return processedEnv;
|
||||
}),
|
||||
/**
|
||||
* How to handle stderr of the child process. This matches the semantics of Node's `child_process.spawn`.
|
||||
*
|
||||
|
|
|
|||
|
|
@ -19,6 +19,7 @@ import {
|
|||
compactAssistantSchema,
|
||||
} from './schemas';
|
||||
import { bedrockInputSchema } from './bedrock';
|
||||
import { extractEnvVariable } from './utils';
|
||||
import { alternateName } from './config';
|
||||
|
||||
type EndpointSchema =
|
||||
|
|
@ -122,18 +123,6 @@ export function errorsToString(errors: ZodIssue[]) {
|
|||
.join(' ');
|
||||
}
|
||||
|
||||
export const envVarRegex = /^\${(.+)}$/;
|
||||
|
||||
/** Extracts the value of an environment variable from a string. */
|
||||
export function extractEnvVariable(value: string) {
|
||||
const envVarMatch = value.match(envVarRegex);
|
||||
if (envVarMatch) {
|
||||
// eslint-disable-next-line @typescript-eslint/strict-boolean-expressions
|
||||
return process.env[envVarMatch[1]] || value;
|
||||
}
|
||||
return value;
|
||||
}
|
||||
|
||||
/** Resolves header values to env variables if detected */
|
||||
export function resolveHeaders(headers: Record<string, string> | undefined) {
|
||||
const resolvedHeaders = { ...(headers ?? {}) };
|
||||
|
|
@ -211,6 +200,29 @@ export const parseConvo = ({
|
|||
return convo;
|
||||
};
|
||||
|
||||
/** Match GPT followed by digit, optional decimal, and optional suffix
|
||||
*
|
||||
* Examples: gpt-4, gpt-4o, gpt-4.5, gpt-5a, etc. */
|
||||
const extractGPTVersion = (modelStr: string): string => {
|
||||
const gptMatch = modelStr.match(/gpt-(\d+(?:\.\d+)?)([a-z])?/i);
|
||||
if (gptMatch) {
|
||||
const version = gptMatch[1];
|
||||
const suffix = gptMatch[2] || '';
|
||||
return `GPT-${version}${suffix}`;
|
||||
}
|
||||
return '';
|
||||
};
|
||||
|
||||
/** Match omni models (o1, o3, etc.), "o" followed by a digit, possibly with decimal */
|
||||
const extractOmniVersion = (modelStr: string): string => {
|
||||
const omniMatch = modelStr.match(/\bo(\d+(?:\.\d+)?)\b/i);
|
||||
if (omniMatch) {
|
||||
const version = omniMatch[1];
|
||||
return `o${version}`;
|
||||
}
|
||||
return '';
|
||||
};
|
||||
|
||||
export const getResponseSender = (endpointOption: t.TEndpointOption): string => {
|
||||
const {
|
||||
model: _m,
|
||||
|
|
@ -238,18 +250,13 @@ export const getResponseSender = (endpointOption: t.TEndpointOption): string =>
|
|||
return chatGptLabel;
|
||||
} else if (modelLabel) {
|
||||
return modelLabel;
|
||||
} else if (model && /\bo1\b/i.test(model)) {
|
||||
return 'o1';
|
||||
} else if (model && /\bo3\b/i.test(model)) {
|
||||
return 'o3';
|
||||
} else if (model && model.includes('gpt-3')) {
|
||||
return 'GPT-3.5';
|
||||
} else if (model && model.includes('gpt-4o')) {
|
||||
return 'GPT-4o';
|
||||
} else if (model && model.includes('gpt-4')) {
|
||||
return 'GPT-4';
|
||||
} else if (model && extractOmniVersion(model)) {
|
||||
return extractOmniVersion(model);
|
||||
} else if (model && model.includes('mistral')) {
|
||||
return 'Mistral';
|
||||
} else if (model && model.includes('gpt-')) {
|
||||
const gptVersion = extractGPTVersion(model);
|
||||
return gptVersion || 'GPT';
|
||||
}
|
||||
return (alternateName[endpoint] as string | undefined) ?? 'ChatGPT';
|
||||
}
|
||||
|
|
@ -279,14 +286,13 @@ export const getResponseSender = (endpointOption: t.TEndpointOption): string =>
|
|||
return modelLabel;
|
||||
} else if (chatGptLabel) {
|
||||
return chatGptLabel;
|
||||
} else if (model && extractOmniVersion(model)) {
|
||||
return extractOmniVersion(model);
|
||||
} else if (model && model.includes('mistral')) {
|
||||
return 'Mistral';
|
||||
} else if (model && model.includes('gpt-3')) {
|
||||
return 'GPT-3.5';
|
||||
} else if (model && model.includes('gpt-4o')) {
|
||||
return 'GPT-4o';
|
||||
} else if (model && model.includes('gpt-4')) {
|
||||
return 'GPT-4';
|
||||
} else if (model && model.includes('gpt-')) {
|
||||
const gptVersion = extractGPTVersion(model);
|
||||
return gptVersion || 'GPT';
|
||||
} else if (modelDisplayLabel) {
|
||||
return modelDisplayLabel;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -91,6 +91,9 @@ axios.interceptors.response.use(
|
|||
return Promise.reject(error);
|
||||
}
|
||||
|
||||
if (originalRequest.url?.includes('/api/auth/2fa') === true) {
|
||||
return Promise.reject(error);
|
||||
}
|
||||
if (originalRequest.url?.includes('/api/auth/logout') === true) {
|
||||
return Promise.reject(error);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -34,6 +34,14 @@ export enum PermissionTypes {
|
|||
* Type for Multi-Conversation Permissions
|
||||
*/
|
||||
MULTI_CONVO = 'MULTI_CONVO',
|
||||
/**
|
||||
* Type for Temporary Chat
|
||||
*/
|
||||
TEMPORARY_CHAT = 'TEMPORARY_CHAT',
|
||||
/**
|
||||
* Type for using the "Run Code" LC Code Interpreter API feature
|
||||
*/
|
||||
RUN_CODE = 'RUN_CODE',
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -68,7 +76,15 @@ export const agentPermissionsSchema = z.object({
|
|||
});
|
||||
|
||||
export const multiConvoPermissionsSchema = z.object({
|
||||
[Permissions.USE]: z.boolean().default(false),
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
});
|
||||
|
||||
export const temporaryChatPermissionsSchema = z.object({
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
});
|
||||
|
||||
export const runCodePermissionsSchema = z.object({
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
});
|
||||
|
||||
export const roleSchema = z.object({
|
||||
|
|
@ -77,6 +93,8 @@ export const roleSchema = z.object({
|
|||
[PermissionTypes.BOOKMARKS]: bookmarkPermissionsSchema,
|
||||
[PermissionTypes.AGENTS]: agentPermissionsSchema,
|
||||
[PermissionTypes.MULTI_CONVO]: multiConvoPermissionsSchema,
|
||||
[PermissionTypes.TEMPORARY_CHAT]: temporaryChatPermissionsSchema,
|
||||
[PermissionTypes.RUN_CODE]: runCodePermissionsSchema,
|
||||
});
|
||||
|
||||
export type TRole = z.infer<typeof roleSchema>;
|
||||
|
|
@ -84,6 +102,8 @@ export type TAgentPermissions = z.infer<typeof agentPermissionsSchema>;
|
|||
export type TPromptPermissions = z.infer<typeof promptPermissionsSchema>;
|
||||
export type TBookmarkPermissions = z.infer<typeof bookmarkPermissionsSchema>;
|
||||
export type TMultiConvoPermissions = z.infer<typeof multiConvoPermissionsSchema>;
|
||||
export type TTemporaryChatPermissions = z.infer<typeof temporaryChatPermissionsSchema>;
|
||||
export type TRunCodePermissions = z.infer<typeof runCodePermissionsSchema>;
|
||||
|
||||
const defaultRolesSchema = z.object({
|
||||
[SystemRoles.ADMIN]: roleSchema.extend({
|
||||
|
|
@ -106,6 +126,12 @@ const defaultRolesSchema = z.object({
|
|||
[PermissionTypes.MULTI_CONVO]: multiConvoPermissionsSchema.extend({
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
}),
|
||||
[PermissionTypes.TEMPORARY_CHAT]: temporaryChatPermissionsSchema.extend({
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
}),
|
||||
[PermissionTypes.RUN_CODE]: runCodePermissionsSchema.extend({
|
||||
[Permissions.USE]: z.boolean().default(true),
|
||||
}),
|
||||
}),
|
||||
[SystemRoles.USER]: roleSchema.extend({
|
||||
name: z.literal(SystemRoles.USER),
|
||||
|
|
@ -113,6 +139,8 @@ const defaultRolesSchema = z.object({
|
|||
[PermissionTypes.BOOKMARKS]: bookmarkPermissionsSchema,
|
||||
[PermissionTypes.AGENTS]: agentPermissionsSchema,
|
||||
[PermissionTypes.MULTI_CONVO]: multiConvoPermissionsSchema,
|
||||
[PermissionTypes.TEMPORARY_CHAT]: temporaryChatPermissionsSchema,
|
||||
[PermissionTypes.RUN_CODE]: runCodePermissionsSchema,
|
||||
}),
|
||||
});
|
||||
|
||||
|
|
@ -123,6 +151,8 @@ export const roleDefaults = defaultRolesSchema.parse({
|
|||
[PermissionTypes.BOOKMARKS]: {},
|
||||
[PermissionTypes.AGENTS]: {},
|
||||
[PermissionTypes.MULTI_CONVO]: {},
|
||||
[PermissionTypes.TEMPORARY_CHAT]: {},
|
||||
[PermissionTypes.RUN_CODE]: {},
|
||||
},
|
||||
[SystemRoles.USER]: {
|
||||
name: SystemRoles.USER,
|
||||
|
|
@ -130,5 +160,7 @@ export const roleDefaults = defaultRolesSchema.parse({
|
|||
[PermissionTypes.BOOKMARKS]: {},
|
||||
[PermissionTypes.AGENTS]: {},
|
||||
[PermissionTypes.MULTI_CONVO]: {},
|
||||
[PermissionTypes.TEMPORARY_CHAT]: {},
|
||||
[PermissionTypes.RUN_CODE]: {},
|
||||
},
|
||||
});
|
||||
|
|
|
|||
|
|
@ -179,34 +179,34 @@ export const isImageVisionTool = (tool: FunctionTool | FunctionToolCall) =>
|
|||
|
||||
export const openAISettings = {
|
||||
model: {
|
||||
default: 'gpt-4o',
|
||||
default: 'gpt-4o-mini' as const,
|
||||
},
|
||||
temperature: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
top_p: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
presence_penalty: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 0,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0 as const,
|
||||
},
|
||||
frequency_penalty: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 0,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0 as const,
|
||||
},
|
||||
resendFiles: {
|
||||
default: true,
|
||||
default: true as const,
|
||||
},
|
||||
maxContextTokens: {
|
||||
default: undefined,
|
||||
|
|
@ -215,72 +215,85 @@ export const openAISettings = {
|
|||
default: undefined,
|
||||
},
|
||||
imageDetail: {
|
||||
default: ImageDetail.auto,
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 1,
|
||||
default: ImageDetail.auto as const,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 1 as const,
|
||||
},
|
||||
};
|
||||
|
||||
export const googleSettings = {
|
||||
model: {
|
||||
default: 'gemini-1.5-flash-latest',
|
||||
default: 'gemini-1.5-flash-latest' as const,
|
||||
},
|
||||
maxOutputTokens: {
|
||||
min: 1,
|
||||
max: 8192,
|
||||
step: 1,
|
||||
default: 8192,
|
||||
min: 1 as const,
|
||||
max: 8192 as const,
|
||||
step: 1 as const,
|
||||
default: 8192 as const,
|
||||
},
|
||||
temperature: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
topP: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 0.95,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0.95 as const,
|
||||
},
|
||||
topK: {
|
||||
min: 1,
|
||||
max: 40,
|
||||
step: 1,
|
||||
default: 40,
|
||||
min: 1 as const,
|
||||
max: 40 as const,
|
||||
step: 1 as const,
|
||||
default: 40 as const,
|
||||
},
|
||||
};
|
||||
|
||||
const ANTHROPIC_MAX_OUTPUT = 8192;
|
||||
const LEGACY_ANTHROPIC_MAX_OUTPUT = 4096;
|
||||
const ANTHROPIC_MAX_OUTPUT = 128000 as const;
|
||||
const DEFAULT_MAX_OUTPUT = 8192 as const;
|
||||
const LEGACY_ANTHROPIC_MAX_OUTPUT = 4096 as const;
|
||||
export const anthropicSettings = {
|
||||
model: {
|
||||
default: 'claude-3-5-sonnet-20241022',
|
||||
default: 'claude-3-5-sonnet-latest' as const,
|
||||
},
|
||||
temperature: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
promptCache: {
|
||||
default: true,
|
||||
default: true as const,
|
||||
},
|
||||
thinking: {
|
||||
default: true as const,
|
||||
},
|
||||
thinkingBudget: {
|
||||
min: 1024 as const,
|
||||
step: 100 as const,
|
||||
max: 200000 as const,
|
||||
default: 2000 as const,
|
||||
},
|
||||
maxOutputTokens: {
|
||||
min: 1,
|
||||
min: 1 as const,
|
||||
max: ANTHROPIC_MAX_OUTPUT,
|
||||
step: 1,
|
||||
default: ANTHROPIC_MAX_OUTPUT,
|
||||
step: 1 as const,
|
||||
default: DEFAULT_MAX_OUTPUT,
|
||||
reset: (modelName: string) => {
|
||||
if (modelName.includes('claude-3-5-sonnet')) {
|
||||
return ANTHROPIC_MAX_OUTPUT;
|
||||
if (/claude-3[-.]5-sonnet/.test(modelName) || /claude-3[-.]7/.test(modelName)) {
|
||||
return DEFAULT_MAX_OUTPUT;
|
||||
}
|
||||
|
||||
return 4096;
|
||||
},
|
||||
set: (value: number, modelName: string) => {
|
||||
if (!modelName.includes('claude-3-5-sonnet') && value > LEGACY_ANTHROPIC_MAX_OUTPUT) {
|
||||
if (
|
||||
!(/claude-3[-.]5-sonnet/.test(modelName) || /claude-3[-.]7/.test(modelName)) &&
|
||||
value > LEGACY_ANTHROPIC_MAX_OUTPUT
|
||||
) {
|
||||
return LEGACY_ANTHROPIC_MAX_OUTPUT;
|
||||
}
|
||||
|
||||
|
|
@ -288,28 +301,28 @@ export const anthropicSettings = {
|
|||
},
|
||||
},
|
||||
topP: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 0.7,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0.7 as const,
|
||||
},
|
||||
topK: {
|
||||
min: 1,
|
||||
max: 40,
|
||||
step: 1,
|
||||
default: 5,
|
||||
min: 1 as const,
|
||||
max: 40 as const,
|
||||
step: 1 as const,
|
||||
default: 5 as const,
|
||||
},
|
||||
resendFiles: {
|
||||
default: true,
|
||||
default: true as const,
|
||||
},
|
||||
maxContextTokens: {
|
||||
default: undefined,
|
||||
},
|
||||
legacy: {
|
||||
maxOutputTokens: {
|
||||
min: 1,
|
||||
min: 1 as const,
|
||||
max: LEGACY_ANTHROPIC_MAX_OUTPUT,
|
||||
step: 1,
|
||||
step: 1 as const,
|
||||
default: LEGACY_ANTHROPIC_MAX_OUTPUT,
|
||||
},
|
||||
},
|
||||
|
|
@ -317,34 +330,34 @@ export const anthropicSettings = {
|
|||
|
||||
export const agentsSettings = {
|
||||
model: {
|
||||
default: 'gpt-3.5-turbo-test',
|
||||
default: 'gpt-3.5-turbo-test' as const,
|
||||
},
|
||||
temperature: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
top_p: {
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
default: 1,
|
||||
min: 0 as const,
|
||||
max: 1 as const,
|
||||
step: 0.01 as const,
|
||||
default: 1 as const,
|
||||
},
|
||||
presence_penalty: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 0,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0 as const,
|
||||
},
|
||||
frequency_penalty: {
|
||||
min: 0,
|
||||
max: 2,
|
||||
step: 0.01,
|
||||
default: 0,
|
||||
min: 0 as const,
|
||||
max: 2 as const,
|
||||
step: 0.01 as const,
|
||||
default: 0 as const,
|
||||
},
|
||||
resendFiles: {
|
||||
default: true,
|
||||
default: true as const,
|
||||
},
|
||||
maxContextTokens: {
|
||||
default: undefined,
|
||||
|
|
@ -353,7 +366,7 @@ export const agentsSettings = {
|
|||
default: undefined,
|
||||
},
|
||||
imageDetail: {
|
||||
default: ImageDetail.auto,
|
||||
default: ImageDetail.auto as const,
|
||||
},
|
||||
};
|
||||
|
||||
|
|
@ -560,6 +573,8 @@ export const tConversationSchema = z.object({
|
|||
/* Anthropic */
|
||||
promptCache: z.boolean().optional(),
|
||||
system: z.string().optional(),
|
||||
thinking: z.boolean().optional(),
|
||||
thinkingBudget: coerceNumber.optional(),
|
||||
/* artifacts */
|
||||
artifacts: z.string().optional(),
|
||||
/* google */
|
||||
|
|
@ -676,6 +691,8 @@ export const tQueryParamsSchema = tConversationSchema
|
|||
maxOutputTokens: true,
|
||||
/** @endpoints anthropic */
|
||||
promptCache: true,
|
||||
thinking: true,
|
||||
thinkingBudget: true,
|
||||
/** @endpoints bedrock */
|
||||
region: true,
|
||||
/** @endpoints bedrock */
|
||||
|
|
@ -751,37 +768,8 @@ export const googleSchema = tConversationSchema
|
|||
spec: true,
|
||||
maxContextTokens: true,
|
||||
})
|
||||
.transform((obj) => {
|
||||
return {
|
||||
...obj,
|
||||
model: obj.model ?? google.model.default,
|
||||
modelLabel: obj.modelLabel ?? null,
|
||||
promptPrefix: obj.promptPrefix ?? null,
|
||||
examples: obj.examples ?? [{ input: { content: '' }, output: { content: '' } }],
|
||||
temperature: obj.temperature ?? google.temperature.default,
|
||||
maxOutputTokens: obj.maxOutputTokens ?? google.maxOutputTokens.default,
|
||||
topP: obj.topP ?? google.topP.default,
|
||||
topK: obj.topK ?? google.topK.default,
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
maxContextTokens: obj.maxContextTokens ?? undefined,
|
||||
};
|
||||
})
|
||||
.catch(() => ({
|
||||
model: google.model.default,
|
||||
modelLabel: null,
|
||||
promptPrefix: null,
|
||||
examples: [{ input: { content: '' }, output: { content: '' } }],
|
||||
temperature: google.temperature.default,
|
||||
maxOutputTokens: google.maxOutputTokens.default,
|
||||
topP: google.topP.default,
|
||||
topK: google.topK.default,
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
maxContextTokens: undefined,
|
||||
}));
|
||||
.transform((obj: Partial<TConversation>) => removeNullishValues(obj))
|
||||
.catch(() => ({}));
|
||||
|
||||
/**
|
||||
* TODO: Map the following fields:
|
||||
|
|
@ -1071,6 +1059,8 @@ export const anthropicSchema = tConversationSchema
|
|||
topK: true,
|
||||
resendFiles: true,
|
||||
promptCache: true,
|
||||
thinking: true,
|
||||
thinkingBudget: true,
|
||||
artifacts: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
|
|
|
|||
|
|
@ -100,6 +100,12 @@ export type TError = {
|
|||
};
|
||||
};
|
||||
|
||||
export type TBackupCode = {
|
||||
codeHash: string;
|
||||
used: boolean;
|
||||
usedAt: Date | null;
|
||||
};
|
||||
|
||||
export type TUser = {
|
||||
id: string;
|
||||
username: string;
|
||||
|
|
@ -110,6 +116,7 @@ export type TUser = {
|
|||
provider: string;
|
||||
plugins?: string[];
|
||||
decryptedPrivateKey?: CryptoKey | string;
|
||||
backupCodes?: TBackupCode[];
|
||||
createdAt: string;
|
||||
updatedAt: string;
|
||||
};
|
||||
|
|
@ -286,11 +293,61 @@ export type TRegisterUser = {
|
|||
export type TLoginUser = {
|
||||
email: string;
|
||||
password: string;
|
||||
token?: string;
|
||||
backupCode?: string;
|
||||
};
|
||||
|
||||
export type TLoginResponse = {
|
||||
token: string;
|
||||
user: TUser;
|
||||
token?: string;
|
||||
user?: TUser;
|
||||
twoFAPending?: boolean;
|
||||
tempToken?: string;
|
||||
};
|
||||
|
||||
export type TEnable2FAResponse = {
|
||||
otpauthUrl: string;
|
||||
backupCodes: string[];
|
||||
message?: string;
|
||||
};
|
||||
|
||||
export type TVerify2FARequest = {
|
||||
token?: string;
|
||||
backupCode?: string;
|
||||
};
|
||||
|
||||
export type TVerify2FAResponse = {
|
||||
message: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* For verifying 2FA during login with a temporary token.
|
||||
*/
|
||||
export type TVerify2FATempRequest = {
|
||||
tempToken: string;
|
||||
token?: string;
|
||||
backupCode?: string;
|
||||
};
|
||||
|
||||
export type TVerify2FATempResponse = {
|
||||
token?: string;
|
||||
user?: TUser;
|
||||
message?: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Response from disabling 2FA.
|
||||
*/
|
||||
export type TDisable2FAResponse = {
|
||||
message: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Response from regenerating backup codes.
|
||||
*/
|
||||
export type TRegenerateBackupCodesResponse = {
|
||||
message: string;
|
||||
backupCodes: string[];
|
||||
backupCodesHash: string[];
|
||||
};
|
||||
|
||||
export type TRequestPasswordReset = {
|
||||
|
|
|
|||
44
packages/data-provider/src/utils.ts
Normal file
44
packages/data-provider/src/utils.ts
Normal file
|
|
@ -0,0 +1,44 @@
|
|||
export const envVarRegex = /^\${(.+)}$/;
|
||||
|
||||
/** Extracts the value of an environment variable from a string. */
|
||||
export function extractEnvVariable(value: string) {
|
||||
if (!value) {
|
||||
return value;
|
||||
}
|
||||
|
||||
// Trim the input
|
||||
const trimmed = value.trim();
|
||||
|
||||
// Special case: if it's just a single environment variable
|
||||
const singleMatch = trimmed.match(envVarRegex);
|
||||
if (singleMatch) {
|
||||
const varName = singleMatch[1];
|
||||
return process.env[varName] || trimmed;
|
||||
}
|
||||
|
||||
// For multiple variables, process them using a regex loop
|
||||
const regex = /\${([^}]+)}/g;
|
||||
let result = trimmed;
|
||||
|
||||
// First collect all matches and their positions
|
||||
const matches = [];
|
||||
let match;
|
||||
while ((match = regex.exec(trimmed)) !== null) {
|
||||
matches.push({
|
||||
fullMatch: match[0],
|
||||
varName: match[1],
|
||||
index: match.index,
|
||||
});
|
||||
}
|
||||
|
||||
// Process matches in reverse order to avoid position shifts
|
||||
for (let i = matches.length - 1; i >= 0; i--) {
|
||||
const { fullMatch, varName, index } = matches[i];
|
||||
const envValue = process.env[varName] || fullMatch;
|
||||
|
||||
// Replace at exact position
|
||||
result = result.substring(0, index) + envValue + result.substring(index + fullMatch.length);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue