mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-01-30 14:25:19 +01:00
Merge branch 'main' into feat/Multitenant-login-OIDC
This commit is contained in:
commit
bba4184b2c
141 changed files with 3565 additions and 954 deletions
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"name": "librechat-data-provider",
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||||
"version": "0.7.82",
|
||||
"version": "0.7.83",
|
||||
"description": "data services for librechat apps",
|
||||
"main": "dist/index.js",
|
||||
"module": "dist/index.es.js",
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||||
|
|
|
|||
|
|
@ -52,6 +52,7 @@ export const excludedKeys = new Set([
|
|||
'model',
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||||
'files',
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||||
'spec',
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||||
'disableParams',
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||||
]);
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||||
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||||
export enum SettingsViews {
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|
|
@ -278,6 +279,12 @@ export const endpointSchema = baseEndpointSchema.merge(
|
|||
headers: z.record(z.any()).optional(),
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||||
addParams: z.record(z.any()).optional(),
|
||||
dropParams: z.array(z.string()).optional(),
|
||||
customParams: z
|
||||
.object({
|
||||
defaultParamsEndpoint: z.string().default('custom'),
|
||||
paramDefinitions: z.array(z.record(z.any())).optional(),
|
||||
})
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||||
.strict(),
|
||||
customOrder: z.number().optional(),
|
||||
directEndpoint: z.boolean().optional(),
|
||||
titleMessageRole: z.string().optional(),
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||||
|
|
@ -505,10 +512,28 @@ export const intefaceSchema = z
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|||
export type TInterfaceConfig = z.infer<typeof intefaceSchema>;
|
||||
export type TBalanceConfig = z.infer<typeof balanceSchema>;
|
||||
|
||||
export const turnstileOptionsSchema = z
|
||||
.object({
|
||||
language: z.string().default('auto'),
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||||
size: z.enum(['normal', 'compact', 'flexible', 'invisible']).default('normal'),
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||||
})
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||||
.default({
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||||
language: 'auto',
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||||
size: 'normal',
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||||
});
|
||||
|
||||
export const turnstileSchema = z.object({
|
||||
siteKey: z.string(),
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||||
options: turnstileOptionsSchema.optional(),
|
||||
});
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||||
|
||||
export type TTurnstileConfig = z.infer<typeof turnstileSchema>;
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||||
|
||||
export type TStartupConfig = {
|
||||
appTitle: string;
|
||||
socialLogins?: string[];
|
||||
interface?: TInterfaceConfig;
|
||||
turnstile?: TTurnstileConfig;
|
||||
balance?: TBalanceConfig;
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||||
discordLoginEnabled: boolean;
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||||
facebookLoginEnabled: boolean;
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||||
|
|
@ -579,6 +604,7 @@ export const configSchema = z.object({
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|||
filteredTools: z.array(z.string()).optional(),
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mcpServers: MCPServersSchema.optional(),
|
||||
interface: intefaceSchema,
|
||||
turnstile: turnstileSchema.optional(),
|
||||
fileStrategy: fileSourceSchema.default(FileSources.local),
|
||||
actions: z
|
||||
.object({
|
||||
|
|
@ -895,6 +921,7 @@ export const visionModels = [
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|||
'llama-3-2-11b-vision',
|
||||
'llama-3.2-90b-vision',
|
||||
'llama-3-2-90b-vision',
|
||||
'llama-4',
|
||||
];
|
||||
export enum VisionModes {
|
||||
generative = 'generative',
|
||||
|
|
|
|||
|
|
@ -222,6 +222,12 @@ export const fileConfigSchema = z.object({
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|||
endpoints: z.record(endpointFileConfigSchema).optional(),
|
||||
serverFileSizeLimit: z.number().min(0).optional(),
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||||
avatarSizeLimit: z.number().min(0).optional(),
|
||||
imageGeneration: z
|
||||
.object({
|
||||
percentage: z.number().min(0).max(100).optional(),
|
||||
px: z.number().min(0).optional(),
|
||||
})
|
||||
.optional(),
|
||||
});
|
||||
|
||||
/** Helper function to safely convert string patterns to RegExp objects */
|
||||
|
|
|
|||
|
|
@ -358,7 +358,7 @@ export function validateSettingDefinitions(settings: SettingsConfiguration): voi
|
|||
// continue;
|
||||
}
|
||||
setting.includeInput =
|
||||
setting.type === SettingTypes.Number ? setting.includeInput ?? true : false; // Default to true if type is number
|
||||
setting.type === SettingTypes.Number ? (setting.includeInput ?? true) : false; // Default to true if type is number
|
||||
}
|
||||
|
||||
if (setting.component === ComponentTypes.Slider && setting.type === SettingTypes.Number) {
|
||||
|
|
@ -445,7 +445,8 @@ export function validateSettingDefinitions(settings: SettingsConfiguration): voi
|
|||
|
||||
// Validate optionType and conversation schema
|
||||
if (setting.optionType !== OptionTypes.Custom) {
|
||||
const conversationSchema = tConversationSchema.shape[setting.key as keyof TConversation];
|
||||
const conversationSchema =
|
||||
tConversationSchema.shape[setting.key as keyof Omit<TConversation, 'disableParams'>];
|
||||
if (!conversationSchema) {
|
||||
errors.push({
|
||||
code: ZodIssueCode.custom,
|
||||
|
|
@ -466,7 +467,7 @@ export function validateSettingDefinitions(settings: SettingsConfiguration): voi
|
|||
}
|
||||
|
||||
/* Default value checks */
|
||||
if (setting.type === SettingTypes.Number && isNaN(setting.default as number)) {
|
||||
if (setting.type === SettingTypes.Number && isNaN(setting.default as number) && setting.default != null) {
|
||||
errors.push({
|
||||
code: ZodIssueCode.custom,
|
||||
message: `Invalid default value for setting ${setting.key}. Must be a number.`,
|
||||
|
|
@ -474,7 +475,7 @@ export function validateSettingDefinitions(settings: SettingsConfiguration): voi
|
|||
});
|
||||
}
|
||||
|
||||
if (setting.type === SettingTypes.Boolean && typeof setting.default !== 'boolean') {
|
||||
if (setting.type === SettingTypes.Boolean && typeof setting.default !== 'boolean' && setting.default != null) {
|
||||
errors.push({
|
||||
code: ZodIssueCode.custom,
|
||||
message: `Invalid default value for setting ${setting.key}. Must be a boolean.`,
|
||||
|
|
@ -484,7 +485,7 @@ export function validateSettingDefinitions(settings: SettingsConfiguration): voi
|
|||
|
||||
if (
|
||||
(setting.type === SettingTypes.String || setting.type === SettingTypes.Enum) &&
|
||||
typeof setting.default !== 'string'
|
||||
typeof setting.default !== 'string' && setting.default != null
|
||||
) {
|
||||
errors.push({
|
||||
code: ZodIssueCode.custom,
|
||||
|
|
|
|||
|
|
@ -36,3 +36,4 @@ import * as dataService from './data-service';
|
|||
export * from './utils';
|
||||
export * from './actions';
|
||||
export { default as createPayload } from './createPayload';
|
||||
export * from './parameterSettings';
|
||||
|
|
|
|||
|
|
@ -53,9 +53,10 @@ export const WebSocketOptionsSchema = BaseOptionsSchema.extend({
|
|||
type: z.literal('websocket').optional(),
|
||||
url: z
|
||||
.string()
|
||||
.url()
|
||||
.transform((val: string) => extractEnvVariable(val))
|
||||
.pipe(z.string().url())
|
||||
.refine(
|
||||
(val) => {
|
||||
(val: string) => {
|
||||
const protocol = new URL(val).protocol;
|
||||
return protocol === 'ws:' || protocol === 'wss:';
|
||||
},
|
||||
|
|
@ -70,9 +71,10 @@ export const SSEOptionsSchema = BaseOptionsSchema.extend({
|
|||
headers: z.record(z.string(), z.string()).optional(),
|
||||
url: z
|
||||
.string()
|
||||
.url()
|
||||
.transform((val: string) => extractEnvVariable(val))
|
||||
.pipe(z.string().url())
|
||||
.refine(
|
||||
(val) => {
|
||||
(val: string) => {
|
||||
const protocol = new URL(val).protocol;
|
||||
return protocol !== 'ws:' && protocol !== 'wss:';
|
||||
},
|
||||
|
|
@ -85,15 +87,19 @@ export const SSEOptionsSchema = BaseOptionsSchema.extend({
|
|||
export const StreamableHTTPOptionsSchema = BaseOptionsSchema.extend({
|
||||
type: z.literal('streamable-http'),
|
||||
headers: z.record(z.string(), z.string()).optional(),
|
||||
url: z.string().url().refine(
|
||||
(val) => {
|
||||
url: z
|
||||
.string()
|
||||
.transform((val: string) => extractEnvVariable(val))
|
||||
.pipe(z.string().url())
|
||||
.refine(
|
||||
(val: string) => {
|
||||
const protocol = new URL(val).protocol;
|
||||
return protocol !== 'ws:' && protocol !== 'wss:';
|
||||
},
|
||||
{
|
||||
message: 'Streamable HTTP URL must not start with ws:// or wss://',
|
||||
},
|
||||
),
|
||||
),
|
||||
});
|
||||
|
||||
export const MCPOptionsSchema = z.union([
|
||||
|
|
@ -138,5 +144,9 @@ export function processMCPEnv(obj: Readonly<MCPOptions>, userId?: string): MCPOp
|
|||
newObj.headers = processedHeaders;
|
||||
}
|
||||
|
||||
if ('url' in newObj && newObj.url) {
|
||||
newObj.url = extractEnvVariable(newObj.url);
|
||||
}
|
||||
|
||||
return newObj;
|
||||
}
|
||||
|
|
|
|||
726
packages/data-provider/src/parameterSettings.ts
Normal file
726
packages/data-provider/src/parameterSettings.ts
Normal file
|
|
@ -0,0 +1,726 @@
|
|||
import {
|
||||
ImageDetail,
|
||||
EModelEndpoint,
|
||||
openAISettings,
|
||||
googleSettings,
|
||||
ReasoningEffort,
|
||||
BedrockProviders,
|
||||
anthropicSettings,
|
||||
} from './types';
|
||||
import { SettingDefinition, SettingsConfiguration } from './generate';
|
||||
|
||||
// Base definitions
|
||||
const baseDefinitions: Record<string, SettingDefinition> = {
|
||||
model: {
|
||||
key: 'model',
|
||||
label: 'com_ui_model',
|
||||
labelCode: true,
|
||||
type: 'string',
|
||||
component: 'dropdown',
|
||||
optionType: 'model',
|
||||
selectPlaceholder: 'com_ui_select_model',
|
||||
searchPlaceholder: 'com_ui_select_search_model',
|
||||
searchPlaceholderCode: true,
|
||||
selectPlaceholderCode: true,
|
||||
columnSpan: 4,
|
||||
},
|
||||
temperature: {
|
||||
key: 'temperature',
|
||||
label: 'com_endpoint_temperature',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_temp',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
topP: {
|
||||
key: 'topP',
|
||||
label: 'com_endpoint_top_p',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_anthropic_topp',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
stop: {
|
||||
key: 'stop',
|
||||
label: 'com_endpoint_stop',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_stop',
|
||||
descriptionCode: true,
|
||||
placeholder: 'com_endpoint_stop_placeholder',
|
||||
placeholderCode: true,
|
||||
type: 'array',
|
||||
default: [],
|
||||
component: 'tags',
|
||||
optionType: 'conversation',
|
||||
minTags: 0,
|
||||
maxTags: 4,
|
||||
},
|
||||
imageDetail: {
|
||||
key: 'imageDetail',
|
||||
label: 'com_endpoint_plug_image_detail',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_detail',
|
||||
descriptionCode: true,
|
||||
type: 'enum',
|
||||
default: ImageDetail.auto,
|
||||
component: 'slider',
|
||||
options: [ImageDetail.low, ImageDetail.auto, ImageDetail.high],
|
||||
optionType: 'conversation',
|
||||
columnSpan: 2,
|
||||
},
|
||||
};
|
||||
|
||||
const createDefinition = (
|
||||
base: Partial<SettingDefinition>,
|
||||
overrides: Partial<SettingDefinition>,
|
||||
): SettingDefinition => {
|
||||
return { ...base, ...overrides } as SettingDefinition;
|
||||
};
|
||||
|
||||
const librechat: Record<string, SettingDefinition> = {
|
||||
modelLabel: {
|
||||
key: 'modelLabel',
|
||||
label: 'com_endpoint_custom_name',
|
||||
labelCode: true,
|
||||
type: 'string',
|
||||
default: '',
|
||||
component: 'input',
|
||||
placeholder: 'com_endpoint_openai_custom_name_placeholder',
|
||||
placeholderCode: true,
|
||||
optionType: 'conversation',
|
||||
},
|
||||
maxContextTokens: {
|
||||
key: 'maxContextTokens',
|
||||
label: 'com_endpoint_context_tokens',
|
||||
labelCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
placeholder: 'com_nav_theme_system',
|
||||
placeholderCode: true,
|
||||
description: 'com_endpoint_context_info',
|
||||
descriptionCode: true,
|
||||
optionType: 'model',
|
||||
columnSpan: 2,
|
||||
},
|
||||
resendFiles: {
|
||||
key: 'resendFiles',
|
||||
label: 'com_endpoint_plug_resend_files',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_resend_files',
|
||||
descriptionCode: true,
|
||||
type: 'boolean',
|
||||
default: true,
|
||||
component: 'switch',
|
||||
optionType: 'conversation',
|
||||
showDefault: false,
|
||||
columnSpan: 2,
|
||||
},
|
||||
promptPrefix: {
|
||||
key: 'promptPrefix',
|
||||
label: 'com_endpoint_prompt_prefix',
|
||||
labelCode: true,
|
||||
type: 'string',
|
||||
default: '',
|
||||
component: 'textarea',
|
||||
placeholder: 'com_endpoint_openai_prompt_prefix_placeholder',
|
||||
placeholderCode: true,
|
||||
optionType: 'model',
|
||||
},
|
||||
};
|
||||
|
||||
const openAIParams: Record<string, SettingDefinition> = {
|
||||
chatGptLabel: {
|
||||
...librechat.modelLabel,
|
||||
key: 'chatGptLabel',
|
||||
},
|
||||
promptPrefix: librechat.promptPrefix,
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: openAISettings.temperature.default,
|
||||
range: {
|
||||
min: openAISettings.temperature.min,
|
||||
max: openAISettings.temperature.max,
|
||||
step: openAISettings.temperature.step,
|
||||
},
|
||||
}),
|
||||
top_p: createDefinition(baseDefinitions.topP, {
|
||||
key: 'top_p',
|
||||
default: openAISettings.top_p.default,
|
||||
range: {
|
||||
min: openAISettings.top_p.min,
|
||||
max: openAISettings.top_p.max,
|
||||
step: openAISettings.top_p.step,
|
||||
},
|
||||
}),
|
||||
frequency_penalty: {
|
||||
key: 'frequency_penalty',
|
||||
label: 'com_endpoint_frequency_penalty',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_freq',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
default: openAISettings.frequency_penalty.default,
|
||||
range: {
|
||||
min: openAISettings.frequency_penalty.min,
|
||||
max: openAISettings.frequency_penalty.max,
|
||||
step: openAISettings.frequency_penalty.step,
|
||||
},
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
presence_penalty: {
|
||||
key: 'presence_penalty',
|
||||
label: 'com_endpoint_presence_penalty',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_pres',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
default: openAISettings.presence_penalty.default,
|
||||
range: {
|
||||
min: openAISettings.presence_penalty.min,
|
||||
max: openAISettings.presence_penalty.max,
|
||||
step: openAISettings.presence_penalty.step,
|
||||
},
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
max_tokens: {
|
||||
key: 'max_tokens',
|
||||
label: 'com_endpoint_max_output_tokens',
|
||||
labelCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
description: 'com_endpoint_openai_max_tokens',
|
||||
descriptionCode: true,
|
||||
placeholder: 'com_nav_theme_system',
|
||||
placeholderCode: true,
|
||||
optionType: 'model',
|
||||
columnSpan: 2,
|
||||
},
|
||||
reasoning_effort: {
|
||||
key: 'reasoning_effort',
|
||||
label: 'com_endpoint_reasoning_effort',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_openai_reasoning_effort',
|
||||
descriptionCode: true,
|
||||
type: 'enum',
|
||||
default: ReasoningEffort.medium,
|
||||
component: 'slider',
|
||||
options: [ReasoningEffort.low, ReasoningEffort.medium, ReasoningEffort.high],
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
};
|
||||
|
||||
const anthropic: Record<string, SettingDefinition> = {
|
||||
maxOutputTokens: {
|
||||
key: 'maxOutputTokens',
|
||||
label: 'com_endpoint_max_output_tokens',
|
||||
labelCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
description: 'com_endpoint_anthropic_maxoutputtokens',
|
||||
descriptionCode: true,
|
||||
placeholder: 'com_nav_theme_system',
|
||||
placeholderCode: true,
|
||||
range: {
|
||||
min: anthropicSettings.maxOutputTokens.min,
|
||||
max: anthropicSettings.maxOutputTokens.max,
|
||||
step: anthropicSettings.maxOutputTokens.step,
|
||||
},
|
||||
optionType: 'model',
|
||||
columnSpan: 2,
|
||||
},
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: anthropicSettings.temperature.default,
|
||||
range: {
|
||||
min: anthropicSettings.temperature.min,
|
||||
max: anthropicSettings.temperature.max,
|
||||
step: anthropicSettings.temperature.step,
|
||||
},
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
default: anthropicSettings.topP.default,
|
||||
range: {
|
||||
min: anthropicSettings.topP.min,
|
||||
max: anthropicSettings.topP.max,
|
||||
step: anthropicSettings.topP.step,
|
||||
},
|
||||
}),
|
||||
topK: {
|
||||
key: 'topK',
|
||||
label: 'com_endpoint_top_k',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_anthropic_topk',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
default: anthropicSettings.topK.default,
|
||||
range: {
|
||||
min: anthropicSettings.topK.min,
|
||||
max: anthropicSettings.topK.max,
|
||||
step: anthropicSettings.topK.step,
|
||||
},
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
promptCache: {
|
||||
key: 'promptCache',
|
||||
label: 'com_endpoint_prompt_cache',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_anthropic_prompt_cache',
|
||||
descriptionCode: true,
|
||||
type: 'boolean',
|
||||
default: anthropicSettings.promptCache.default,
|
||||
component: 'switch',
|
||||
optionType: 'conversation',
|
||||
showDefault: false,
|
||||
columnSpan: 2,
|
||||
},
|
||||
thinking: {
|
||||
key: 'thinking',
|
||||
label: 'com_endpoint_thinking',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_anthropic_thinking',
|
||||
descriptionCode: true,
|
||||
type: 'boolean',
|
||||
default: anthropicSettings.thinking.default,
|
||||
component: 'switch',
|
||||
optionType: 'conversation',
|
||||
showDefault: false,
|
||||
columnSpan: 2,
|
||||
},
|
||||
thinkingBudget: {
|
||||
key: 'thinkingBudget',
|
||||
label: 'com_endpoint_thinking_budget',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_anthropic_thinking_budget',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
default: anthropicSettings.thinkingBudget.default,
|
||||
range: {
|
||||
min: anthropicSettings.thinkingBudget.min,
|
||||
max: anthropicSettings.thinkingBudget.max,
|
||||
step: anthropicSettings.thinkingBudget.step,
|
||||
},
|
||||
optionType: 'conversation',
|
||||
columnSpan: 2,
|
||||
},
|
||||
};
|
||||
|
||||
const bedrock: Record<string, SettingDefinition> = {
|
||||
system: {
|
||||
key: 'system',
|
||||
label: 'com_endpoint_prompt_prefix',
|
||||
labelCode: true,
|
||||
type: 'string',
|
||||
default: '',
|
||||
component: 'textarea',
|
||||
placeholder: 'com_endpoint_openai_prompt_prefix_placeholder',
|
||||
placeholderCode: true,
|
||||
optionType: 'model',
|
||||
},
|
||||
region: {
|
||||
key: 'region',
|
||||
type: 'string',
|
||||
label: 'com_ui_region',
|
||||
labelCode: true,
|
||||
component: 'combobox',
|
||||
optionType: 'conversation',
|
||||
selectPlaceholder: 'com_ui_select_region',
|
||||
searchPlaceholder: 'com_ui_select_search_region',
|
||||
searchPlaceholderCode: true,
|
||||
selectPlaceholderCode: true,
|
||||
columnSpan: 2,
|
||||
},
|
||||
maxTokens: {
|
||||
key: 'maxTokens',
|
||||
label: 'com_endpoint_max_output_tokens',
|
||||
labelCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
placeholder: 'com_endpoint_anthropic_maxoutputtokens',
|
||||
placeholderCode: true,
|
||||
optionType: 'model',
|
||||
columnSpan: 2,
|
||||
},
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: 1,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
topK: createDefinition(anthropic.topK, {
|
||||
range: { min: 0, max: 500, step: 1 },
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
default: 0.999,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
};
|
||||
|
||||
const mistral: Record<string, SettingDefinition> = {
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: 0.7,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
};
|
||||
|
||||
const cohere: Record<string, SettingDefinition> = {
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: 0.3,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
default: 0.75,
|
||||
range: { min: 0.01, max: 0.99, step: 0.01 },
|
||||
}),
|
||||
};
|
||||
|
||||
const meta: Record<string, SettingDefinition> = {
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: 0.5,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
default: 0.9,
|
||||
range: { min: 0, max: 1, step: 0.01 },
|
||||
}),
|
||||
};
|
||||
|
||||
const google: Record<string, SettingDefinition> = {
|
||||
temperature: createDefinition(baseDefinitions.temperature, {
|
||||
default: googleSettings.temperature.default,
|
||||
range: {
|
||||
min: googleSettings.temperature.min,
|
||||
max: googleSettings.temperature.max,
|
||||
step: googleSettings.temperature.step,
|
||||
},
|
||||
}),
|
||||
topP: createDefinition(baseDefinitions.topP, {
|
||||
default: googleSettings.topP.default,
|
||||
range: {
|
||||
min: googleSettings.topP.min,
|
||||
max: googleSettings.topP.max,
|
||||
step: googleSettings.topP.step,
|
||||
},
|
||||
}),
|
||||
topK: {
|
||||
key: 'topK',
|
||||
label: 'com_endpoint_top_k',
|
||||
labelCode: true,
|
||||
description: 'com_endpoint_google_topk',
|
||||
descriptionCode: true,
|
||||
type: 'number',
|
||||
default: googleSettings.topK.default,
|
||||
range: {
|
||||
min: googleSettings.topK.min,
|
||||
max: googleSettings.topK.max,
|
||||
step: googleSettings.topK.step,
|
||||
},
|
||||
component: 'slider',
|
||||
optionType: 'model',
|
||||
columnSpan: 4,
|
||||
},
|
||||
maxOutputTokens: {
|
||||
key: 'maxOutputTokens',
|
||||
label: 'com_endpoint_max_output_tokens',
|
||||
labelCode: true,
|
||||
type: 'number',
|
||||
component: 'input',
|
||||
description: 'com_endpoint_google_maxoutputtokens',
|
||||
descriptionCode: true,
|
||||
placeholder: 'com_nav_theme_system',
|
||||
placeholderCode: true,
|
||||
default: googleSettings.maxOutputTokens.default,
|
||||
range: {
|
||||
min: googleSettings.maxOutputTokens.min,
|
||||
max: googleSettings.maxOutputTokens.max,
|
||||
step: googleSettings.maxOutputTokens.step,
|
||||
},
|
||||
optionType: 'model',
|
||||
columnSpan: 2,
|
||||
},
|
||||
};
|
||||
|
||||
const googleConfig: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
google.maxOutputTokens,
|
||||
google.temperature,
|
||||
google.topP,
|
||||
google.topK,
|
||||
librechat.resendFiles,
|
||||
];
|
||||
|
||||
const googleCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const googleCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
google.maxOutputTokens,
|
||||
google.temperature,
|
||||
google.topP,
|
||||
google.topK,
|
||||
librechat.resendFiles,
|
||||
];
|
||||
|
||||
const openAI: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
openAIParams.max_tokens,
|
||||
openAIParams.temperature,
|
||||
openAIParams.top_p,
|
||||
openAIParams.frequency_penalty,
|
||||
openAIParams.presence_penalty,
|
||||
baseDefinitions.stop,
|
||||
librechat.resendFiles,
|
||||
baseDefinitions.imageDetail,
|
||||
openAIParams.reasoning_effort,
|
||||
];
|
||||
|
||||
const openAICol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const openAICol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
openAIParams.max_tokens,
|
||||
openAIParams.temperature,
|
||||
openAIParams.top_p,
|
||||
openAIParams.frequency_penalty,
|
||||
openAIParams.presence_penalty,
|
||||
baseDefinitions.stop,
|
||||
openAIParams.reasoning_effort,
|
||||
librechat.resendFiles,
|
||||
baseDefinitions.imageDetail,
|
||||
];
|
||||
|
||||
const anthropicConfig: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
anthropic.maxOutputTokens,
|
||||
anthropic.temperature,
|
||||
anthropic.topP,
|
||||
anthropic.topK,
|
||||
librechat.resendFiles,
|
||||
anthropic.promptCache,
|
||||
anthropic.thinking,
|
||||
anthropic.thinkingBudget,
|
||||
];
|
||||
|
||||
const anthropicCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const anthropicCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
anthropic.maxOutputTokens,
|
||||
anthropic.temperature,
|
||||
anthropic.topP,
|
||||
anthropic.topK,
|
||||
librechat.resendFiles,
|
||||
anthropic.promptCache,
|
||||
anthropic.thinking,
|
||||
anthropic.thinkingBudget,
|
||||
];
|
||||
|
||||
const bedrockAnthropic: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
bedrock.system,
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
bedrock.temperature,
|
||||
bedrock.topP,
|
||||
bedrock.topK,
|
||||
baseDefinitions.stop,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
anthropic.thinking,
|
||||
anthropic.thinkingBudget,
|
||||
];
|
||||
|
||||
const bedrockMistral: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
mistral.temperature,
|
||||
mistral.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
const bedrockCohere: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
cohere.temperature,
|
||||
cohere.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
const bedrockGeneral: SettingsConfiguration = [
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
librechat.maxContextTokens,
|
||||
meta.temperature,
|
||||
meta.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
const bedrockAnthropicCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
bedrock.system,
|
||||
baseDefinitions.stop,
|
||||
];
|
||||
|
||||
const bedrockAnthropicCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
bedrock.temperature,
|
||||
bedrock.topP,
|
||||
bedrock.topK,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
anthropic.thinking,
|
||||
anthropic.thinkingBudget,
|
||||
];
|
||||
|
||||
const bedrockMistralCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const bedrockMistralCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
mistral.temperature,
|
||||
mistral.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
const bedrockCohereCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const bedrockCohereCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
bedrock.maxTokens,
|
||||
cohere.temperature,
|
||||
cohere.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
const bedrockGeneralCol1: SettingsConfiguration = [
|
||||
baseDefinitions.model as SettingDefinition,
|
||||
librechat.modelLabel,
|
||||
librechat.promptPrefix,
|
||||
];
|
||||
|
||||
const bedrockGeneralCol2: SettingsConfiguration = [
|
||||
librechat.maxContextTokens,
|
||||
meta.temperature,
|
||||
meta.topP,
|
||||
librechat.resendFiles,
|
||||
bedrock.region,
|
||||
];
|
||||
|
||||
export const paramSettings: Record<string, SettingsConfiguration | undefined> = {
|
||||
[EModelEndpoint.openAI]: openAI,
|
||||
[EModelEndpoint.azureOpenAI]: openAI,
|
||||
[EModelEndpoint.custom]: openAI,
|
||||
[EModelEndpoint.anthropic]: anthropicConfig,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Anthropic}`]: bedrockAnthropic,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.MistralAI}`]: bedrockMistral,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Cohere}`]: bedrockCohere,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Meta}`]: bedrockGeneral,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.AI21}`]: bedrockGeneral,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Amazon}`]: bedrockGeneral,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.DeepSeek}`]: bedrockGeneral,
|
||||
[EModelEndpoint.google]: googleConfig,
|
||||
};
|
||||
|
||||
const openAIColumns = {
|
||||
col1: openAICol1,
|
||||
col2: openAICol2,
|
||||
};
|
||||
|
||||
const bedrockGeneralColumns = {
|
||||
col1: bedrockGeneralCol1,
|
||||
col2: bedrockGeneralCol2,
|
||||
};
|
||||
|
||||
export const presetSettings: Record<
|
||||
string,
|
||||
| {
|
||||
col1: SettingsConfiguration;
|
||||
col2: SettingsConfiguration;
|
||||
}
|
||||
| undefined
|
||||
> = {
|
||||
[EModelEndpoint.openAI]: openAIColumns,
|
||||
[EModelEndpoint.azureOpenAI]: openAIColumns,
|
||||
[EModelEndpoint.custom]: openAIColumns,
|
||||
[EModelEndpoint.anthropic]: {
|
||||
col1: anthropicCol1,
|
||||
col2: anthropicCol2,
|
||||
},
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Anthropic}`]: {
|
||||
col1: bedrockAnthropicCol1,
|
||||
col2: bedrockAnthropicCol2,
|
||||
},
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.MistralAI}`]: {
|
||||
col1: bedrockMistralCol1,
|
||||
col2: bedrockMistralCol2,
|
||||
},
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Cohere}`]: {
|
||||
col1: bedrockCohereCol1,
|
||||
col2: bedrockCohereCol2,
|
||||
},
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Meta}`]: bedrockGeneralColumns,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.AI21}`]: bedrockGeneralColumns,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.Amazon}`]: bedrockGeneralColumns,
|
||||
[`${EModelEndpoint.bedrock}-${BedrockProviders.DeepSeek}`]: bedrockGeneralColumns,
|
||||
[EModelEndpoint.google]: {
|
||||
col1: googleCol1,
|
||||
col2: googleCol2,
|
||||
},
|
||||
};
|
||||
|
||||
export const agentParamSettings: Record<string, SettingsConfiguration | undefined> = Object.entries(
|
||||
presetSettings,
|
||||
).reduce<Record<string, SettingsConfiguration | undefined>>((acc, [key, value]) => {
|
||||
if (value) {
|
||||
acc[key] = value.col2;
|
||||
}
|
||||
return acc;
|
||||
}, {});
|
||||
|
|
@ -745,6 +745,7 @@ export type TSetOption = (
|
|||
|
||||
export type TConversation = z.infer<typeof tConversationSchema> & {
|
||||
presetOverride?: Partial<TPreset>;
|
||||
disableParams?: boolean;
|
||||
};
|
||||
|
||||
export const tSharedLinkSchema = z.object({
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ import type {
|
|||
TConversationTag,
|
||||
TBanner,
|
||||
} from './schemas';
|
||||
import { SettingDefinition } from './generate';
|
||||
export type TOpenAIMessage = OpenAI.Chat.ChatCompletionMessageParam;
|
||||
|
||||
export * from './schemas';
|
||||
|
|
@ -268,6 +269,10 @@ export type TConfig = {
|
|||
disableBuilder?: boolean;
|
||||
retrievalModels?: string[];
|
||||
capabilities?: string[];
|
||||
customParams?: {
|
||||
defaultParamsEndpoint?: string;
|
||||
paramDefinitions?: SettingDefinition[];
|
||||
};
|
||||
};
|
||||
|
||||
export type TEndpointsConfig =
|
||||
|
|
|
|||
|
|
@ -131,6 +131,7 @@ export type BatchFile = {
|
|||
filepath: string;
|
||||
embedded: boolean;
|
||||
source: FileSources;
|
||||
temp_file_id?: string;
|
||||
};
|
||||
|
||||
export type DeleteFilesBody = {
|
||||
|
|
|
|||
|
|
@ -567,8 +567,14 @@ export class MCPConnection extends EventEmitter {
|
|||
return this.connectionState;
|
||||
}
|
||||
|
||||
public isConnected(): boolean {
|
||||
return this.connectionState === 'connected';
|
||||
public async isConnected(): Promise<boolean> {
|
||||
try {
|
||||
await this.client.ping();
|
||||
return this.connectionState === 'connected';
|
||||
} catch (error) {
|
||||
this.logger?.error(`${this.getLogPrefix()} Ping failed:`, error);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
public getLastError(): Error | null {
|
||||
|
|
|
|||
|
|
@ -1,5 +1,7 @@
|
|||
/* MCP */
|
||||
export * from './manager';
|
||||
/* Utilities */
|
||||
export * from './utils';
|
||||
/* Flow */
|
||||
export * from './flow/manager';
|
||||
/* types */
|
||||
|
|
|
|||
|
|
@ -71,7 +71,7 @@ export class MCPManager {
|
|||
const connectionAttempt = this.initializeServer(connection, `[MCP][${serverName}]`);
|
||||
await Promise.race([connectionAttempt, connectionTimeout]);
|
||||
|
||||
if (connection.isConnected()) {
|
||||
if (await connection.isConnected()) {
|
||||
initializedServers.add(i);
|
||||
this.connections.set(serverName, connection); // Store in app-level map
|
||||
|
||||
|
|
@ -135,7 +135,7 @@ export class MCPManager {
|
|||
while (attempts < maxAttempts) {
|
||||
try {
|
||||
await connection.connect();
|
||||
if (connection.isConnected()) {
|
||||
if (await connection.isConnected()) {
|
||||
return;
|
||||
}
|
||||
throw new Error('Connection attempt succeeded but status is not connected');
|
||||
|
|
@ -200,7 +200,7 @@ export class MCPManager {
|
|||
}
|
||||
connection = undefined; // Force creation of a new connection
|
||||
} else if (connection) {
|
||||
if (connection.isConnected()) {
|
||||
if (await connection.isConnected()) {
|
||||
this.logger.debug(`[MCP][User: ${userId}][${serverName}] Reusing active connection`);
|
||||
// Update timestamp on reuse
|
||||
this.updateUserLastActivity(userId);
|
||||
|
|
@ -244,7 +244,7 @@ export class MCPManager {
|
|||
);
|
||||
await Promise.race([connectionAttempt, connectionTimeout]);
|
||||
|
||||
if (!connection.isConnected()) {
|
||||
if (!(await connection.isConnected())) {
|
||||
throw new Error('Failed to establish connection after initialization attempt.');
|
||||
}
|
||||
|
||||
|
|
@ -342,7 +342,7 @@ export class MCPManager {
|
|||
public async mapAvailableTools(availableTools: t.LCAvailableTools): Promise<void> {
|
||||
for (const [serverName, connection] of this.connections.entries()) {
|
||||
try {
|
||||
if (connection.isConnected() !== true) {
|
||||
if ((await connection.isConnected()) !== true) {
|
||||
this.logger.warn(
|
||||
`[MCP][${serverName}] Connection not established. Skipping tool mapping.`,
|
||||
);
|
||||
|
|
@ -375,7 +375,7 @@ export class MCPManager {
|
|||
|
||||
for (const [serverName, connection] of this.connections.entries()) {
|
||||
try {
|
||||
if (connection.isConnected() !== true) {
|
||||
if ((await connection.isConnected()) !== true) {
|
||||
this.logger.warn(
|
||||
`[MCP][${serverName}] Connection not established. Skipping manifest loading.`,
|
||||
);
|
||||
|
|
@ -443,7 +443,7 @@ export class MCPManager {
|
|||
}
|
||||
}
|
||||
|
||||
if (!connection.isConnected()) {
|
||||
if (!(await connection.isConnected())) {
|
||||
// This might happen if getUserConnection failed silently or app connection dropped
|
||||
throw new McpError(
|
||||
ErrorCode.InternalError, // Use InternalError for connection issues
|
||||
|
|
|
|||
|
|
@ -1,5 +1,13 @@
|
|||
import type * as t from './types/mcp';
|
||||
const RECOGNIZED_PROVIDERS = new Set(['google', 'anthropic', 'openai', 'openrouter', 'xai', 'deepseek', 'ollama']);
|
||||
const RECOGNIZED_PROVIDERS = new Set([
|
||||
'google',
|
||||
'anthropic',
|
||||
'openai',
|
||||
'openrouter',
|
||||
'xai',
|
||||
'deepseek',
|
||||
'ollama',
|
||||
]);
|
||||
const CONTENT_ARRAY_PROVIDERS = new Set(['google', 'anthropic', 'openai']);
|
||||
|
||||
const imageFormatters: Record<string, undefined | t.ImageFormatter> = {
|
||||
|
|
@ -49,6 +57,12 @@ function parseAsString(result: t.MCPToolCallResponse): string {
|
|||
if (item.resource.uri) {
|
||||
resourceText.push(`Resource URI: ${item.resource.uri}`);
|
||||
}
|
||||
if (item.resource.name) {
|
||||
resourceText.push(`Resource: ${item.resource.name}`);
|
||||
}
|
||||
if (item.resource.description) {
|
||||
resourceText.push(`Description: ${item.resource.description}`);
|
||||
}
|
||||
if (item.resource.mimeType != null && item.resource.mimeType) {
|
||||
resourceText.push(`Type: ${item.resource.mimeType}`);
|
||||
}
|
||||
|
|
@ -133,6 +147,12 @@ export function formatToolContent(
|
|||
if (item.resource.uri.length) {
|
||||
resourceText.push(`Resource URI: ${item.resource.uri}`);
|
||||
}
|
||||
if (item.resource.name) {
|
||||
resourceText.push(`Resource: ${item.resource.name}`);
|
||||
}
|
||||
if (item.resource.description) {
|
||||
resourceText.push(`Description: ${item.resource.description}`);
|
||||
}
|
||||
if (item.resource.mimeType != null && item.resource.mimeType) {
|
||||
resourceText.push(`Type: ${item.resource.mimeType}`);
|
||||
}
|
||||
|
|
|
|||
28
packages/mcp/src/utils.test.ts
Normal file
28
packages/mcp/src/utils.test.ts
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
import { normalizeServerName } from './utils';
|
||||
|
||||
describe('normalizeServerName', () => {
|
||||
it('should not modify server names that already match the pattern', () => {
|
||||
const result = normalizeServerName('valid-server_name.123');
|
||||
expect(result).toBe('valid-server_name.123');
|
||||
});
|
||||
|
||||
it('should normalize server names with non-ASCII characters', () => {
|
||||
const result = normalizeServerName('我的服务');
|
||||
// Should generate a fallback name with a hash
|
||||
expect(result).toMatch(/^server_\d+$/);
|
||||
expect(result).toMatch(/^[a-zA-Z0-9_.-]+$/);
|
||||
});
|
||||
|
||||
it('should normalize server names with special characters', () => {
|
||||
const result = normalizeServerName('server@name!');
|
||||
// The actual result doesn't have the trailing underscore after trimming
|
||||
expect(result).toBe('server_name');
|
||||
expect(result).toMatch(/^[a-zA-Z0-9_.-]+$/);
|
||||
});
|
||||
|
||||
it('should trim leading and trailing underscores', () => {
|
||||
const result = normalizeServerName('!server-name!');
|
||||
expect(result).toBe('server-name');
|
||||
expect(result).toMatch(/^[a-zA-Z0-9_.-]+$/);
|
||||
});
|
||||
});
|
||||
30
packages/mcp/src/utils.ts
Normal file
30
packages/mcp/src/utils.ts
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
/**
|
||||
* Normalizes a server name to match the pattern ^[a-zA-Z0-9_.-]+$
|
||||
* This is required for Azure OpenAI models with Tool Calling
|
||||
*/
|
||||
export function normalizeServerName(serverName: string): string {
|
||||
// Check if the server name already matches the pattern
|
||||
if (/^[a-zA-Z0-9_.-]+$/.test(serverName)) {
|
||||
return serverName;
|
||||
}
|
||||
|
||||
/** Replace non-matching characters with underscores.
|
||||
This preserves the general structure while ensuring compatibility.
|
||||
Trims leading/trailing underscores
|
||||
*/
|
||||
const normalized = serverName.replace(/[^a-zA-Z0-9_.-]/g, '_').replace(/^_+|_+$/g, '');
|
||||
|
||||
// If the result is empty (e.g., all characters were non-ASCII and got trimmed),
|
||||
// generate a fallback name to ensure we always have a valid function name
|
||||
if (!normalized) {
|
||||
/** Hash of the original name to ensure uniqueness */
|
||||
let hash = 0;
|
||||
for (let i = 0; i < serverName.length; i++) {
|
||||
hash = (hash << 5) - hash + serverName.charCodeAt(i);
|
||||
hash |= 0; // Convert to 32bit integer
|
||||
}
|
||||
return `server_${Math.abs(hash)}`;
|
||||
}
|
||||
|
||||
return normalized;
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue