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🛡️ fix: Preset and Validation Logic for URL Query Params (#7407)

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* chore(store/families): linting

* refactor: Update `createChatSearchParams` to use `tQueryParamsSchema` for allowed parameters and add `modelLabel` to schema

* refactor: Enhance `useQueryParams` to streamline parameter processing and improve submission handling

* chore: linting

* fix: Add `disableParams` option to conversation handling and related schemas to prevent search params from updating due to use of default preset

* fix: Update `createChatSearchParams` to correctly ignore `agent_id` when it matches `EPHEMERAL_AGENT_ID`

* chore: revert modelLabel addition to query params, as no longer necessary due to `disableParams`

* fix: Refine logic for `disableParams` to ensure correct handling of active preset comparison

* fix: Add `disableParams` option to `NewConversationParams` and update related hooks for preset handling

* fix: Refactor validation logic in `validateSettingDefinitions` to improve handling of `includeInput` and update conversation schema

* fix: Bump version of `librechat-data-provider` to 0.7.83
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Danny Avila 2025-05-15 17:46:48 -04:00 • committed by GitHub
parent 7a91f6ca62
commit 2f4a03b581
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13 changed files with 126 additions and 112 deletions
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50
client/src/utils/createChatSearchParams.ts
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@ -1,6 +1,12 @@
import { isAgentsEndpoint, isAssistantsEndpoint, Constants } from 'librechat-data-provider';
import {
Constants,
isAgentsEndpoint,
tQueryParamsSchema,
isAssistantsEndpoint,
} from 'librechat-data-provider';
import type { TConversation, TPreset } from 'librechat-data-provider';
const allowedParams = Object.keys(tQueryParamsSchema.shape);
export default function createChatSearchParams(
input: TConversation | TPreset | Record<string, string> | null,
): URLSearchParams {
@ -10,25 +16,6 @@ export default function createChatSearchParams(
const params = new URLSearchParams();
const allowedParams = [
'endpoint',
'model',
'temperature',
'presence_penalty',
'frequency_penalty',
'stop',
'top_p',
'max_tokens',
'topP',
'topK',
'maxOutputTokens',
'promptCache',
'region',
'maxTokens',
'agent_id',
'assistant_id',
];
if (input && typeof input === 'object' && !('endpoint' in input) && !('model' in input)) {
Object.entries(input as Record<string, string>).forEach(([key, value]) => {
if (value != null && allowedParams.includes(key)) {
@ -64,20 +51,15 @@ export default function createChatSearchParams(
params.set('model', conversation.model);
}
const paramMap = {
temperature: conversation.temperature,
presence_penalty: conversation.presence_penalty,
frequency_penalty: conversation.frequency_penalty,
stop: conversation.stop,
top_p: conversation.top_p,
max_tokens: conversation.max_tokens,
topP: conversation.topP,
topK: conversation.topK,
maxOutputTokens: conversation.maxOutputTokens,
promptCache: conversation.promptCache,
region: conversation.region,
maxTokens: conversation.maxTokens,
};
const paramMap: Record<string, any> = {};
allowedParams.forEach((key) => {
if (key === 'agent_id' && conversation.agent_id === Constants.EPHEMERAL_AGENT_ID) {
return;
}
if (key !== 'endpoint' && key !== 'model') {
paramMap[key] = (conversation as any)[key];
}
});
return Object.entries(paramMap).reduce((params, [key, value]) => {
if (value != null) {