mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-01-17 16:05:32 +01:00
94 lines
2.7 KiB
TypeScript
94 lines
2.7 KiB
TypeScript
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import { isAgentsEndpoint, isAssistantsEndpoint, Constants } from 'librechat-data-provider';
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import type { TConversation, TPreset } from 'librechat-data-provider';
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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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const allowedParams = [
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'endpoint',
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'model',
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'temperature',
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'presence_penalty',
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'frequency_penalty',
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'stop',
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'top_p',
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'max_tokens',
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'topP',
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'topK',
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'maxOutputTokens',
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'promptCache',
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'region',
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'maxTokens',
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'agent_id',
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'assistant_id',
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];
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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 = {
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temperature: conversation.temperature,
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presence_penalty: conversation.presence_penalty,
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frequency_penalty: conversation.frequency_penalty,
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stop: conversation.stop,
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top_p: conversation.top_p,
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max_tokens: conversation.max_tokens,
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topP: conversation.topP,
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topK: conversation.topK,
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maxOutputTokens: conversation.maxOutputTokens,
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promptCache: conversation.promptCache,
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region: conversation.region,
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maxTokens: conversation.maxTokens,
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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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