mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-01-12 05:28:51 +01:00
2f4a03b581
* 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
75 lines
2.2 KiB
TypeScript
75 lines
2.2 KiB
TypeScript
import {
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Constants,
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isAgentsEndpoint,
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tQueryParamsSchema,
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isAssistantsEndpoint,
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} from 'librechat-data-provider';
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import type { TConversation, TPreset } from 'librechat-data-provider';
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const allowedParams = Object.keys(tQueryParamsSchema.shape);
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export default function createChatSearchParams(
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input: TConversation | TPreset | Record<string, string> | null,
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): URLSearchParams {
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if (input == null) {
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return new URLSearchParams();
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}
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const params = new URLSearchParams();
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if (input && typeof input === 'object' && !('endpoint' in input) && !('model' in input)) {
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Object.entries(input as Record<string, string>).forEach(([key, value]) => {
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if (value != null && allowedParams.includes(key)) {
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params.set(key, value);
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}
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});
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return params;
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}
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const conversation = input as TConversation | TPreset;
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const endpoint = conversation.endpoint;
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if (conversation.spec) {
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return new URLSearchParams({ spec: conversation.spec });
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}
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if (
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isAgentsEndpoint(endpoint) &&
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conversation.agent_id &&
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conversation.agent_id !== Constants.EPHEMERAL_AGENT_ID
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) {
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return new URLSearchParams({ agent_id: String(conversation.agent_id) });
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} else if (isAssistantsEndpoint(endpoint) && conversation.assistant_id) {
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return new URLSearchParams({ assistant_id: String(conversation.assistant_id) });
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} else if (isAgentsEndpoint(endpoint) && !conversation.agent_id) {
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return params;
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} else if (isAssistantsEndpoint(endpoint) && !conversation.assistant_id) {
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return params;
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}
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if (endpoint) {
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params.set('endpoint', endpoint);
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}
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if (conversation.model) {
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params.set('model', conversation.model);
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}
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const paramMap: Record<string, any> = {};
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allowedParams.forEach((key) => {
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if (key === 'agent_id' && conversation.agent_id === Constants.EPHEMERAL_AGENT_ID) {
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return;
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}
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if (key !== 'endpoint' && key !== 'model') {
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paramMap[key] = (conversation as any)[key];
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}
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});
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return Object.entries(paramMap).reduce((params, [key, value]) => {
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if (value != null) {
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if (Array.isArray(value)) {
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params.set(key, key === 'stop' ? value.join(',') : JSON.stringify(value));
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} else {
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params.set(key, String(value));
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}
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}
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return params;
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}, params);
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}
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