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🚀 feat: Enhance Model Handling, Logging & xAI Agent Support (#6182)

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* chore: update @librechat/agents to version 2.1.9

* feat: xAI standalone provider for agents

* chore: bump librechat-data-provider version to 0.7.6997

* fix: reorder import statements and enhance user listing output

* fix: Update Docker Compose commands to support v2 syntax with fallback

* 🔧 fix: drop `reasoning_effort` for o1-preview/mini models

* chore: requireLocalAuth logging

* fix: edge case artifact message editing logic to handle `new` conversation IDs

* fix: remove `temperature` from model options in OpenAIClient if o1-mini/preview

* fix: update type annotation for fetchPromisesMap to use Promise<string[]> instead of string[]

* feat: anthropic model fetching

* fix: update model name to use EModelEndpoint.openAI in fetchModels and fetchOpenAIModels

* fix: add error handling to modelController for loadModels

* fix: add error handling and logging for model fetching in loadDefaultModels

* ci: update getAnthropicModels tests to be asynchronous

* feat: add user ID to model options in OpenAI and custom endpoint initialization

---------

Co-authored-by: Andrei Berceanu <andreicberceanu@gmail.com>
Co-authored-by: KiGamji <maloyh44@gmail.com>
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Danny Avila 2025-03-05 12:04:26 -05:00 • committed by GitHub
parent 287699331c
commit 00b2d026c1
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19 changed files with 1010 additions and 1044 deletions
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62
client/src/data-provider/Messages/mutations.ts
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@ -1,7 +1,7 @@
import { dataService, QueryKeys } from 'librechat-data-provider';
import { useMutation, useQueryClient } from '@tanstack/react-query';
import type * as t from 'librechat-data-provider';
import { dataService, QueryKeys, Constants } from 'librechat-data-provider';
import type { UseMutationResult } from '@tanstack/react-query';
import type * as t from 'librechat-data-provider';
export const useEditArtifact = (
_options?: t.EditArtifactOptions,
@ -11,33 +11,47 @@ export const useEditArtifact = (
return useMutation({
mutationFn: (variables: t.TEditArtifactRequest) => dataService.editArtifact(variables),
onSuccess: (data, vars, context) => {
queryClient.setQueryData<t.TMessage[]>([QueryKeys.messages, data.conversationId], (prev) => {
if (!prev) {
return prev;
let targetNotFound = true;
const setMessageData = (conversationId?: string | null) => {
if (!conversationId) {
return;
}
const newArray = [...prev];
let targetIndex: number | undefined;
for (let i = newArray.length - 1; i >= 0; i--) {
if (newArray[i].messageId === vars.messageId) {
targetIndex = i;
break;
queryClient.setQueryData<t.TMessage[]>([QueryKeys.messages, conversationId], (prev) => {
if (!prev) {
return prev;
}
}
if (targetIndex == null) {
return prev;
}
const newArray = [...prev];
let targetIndex: number | undefined;
newArray[targetIndex] = {
...newArray[targetIndex],
content: data.content,
text: data.text,
};
for (let i = newArray.length - 1; i >= 0; i--) {
if (newArray[i].messageId === vars.messageId) {
targetIndex = i;
targetNotFound = false;
break;
}
}
return newArray;
});
if (targetIndex == null) {
return prev;
}
newArray[targetIndex] = {
...newArray[targetIndex],
content: data.content,
text: data.text,
};
return newArray;
});
};
setMessageData(data.conversationId);
if (targetNotFound) {
console.warn(
'Edited Artifact Message not found in cache, trying `new` as `conversationId`',
);
setMessageData(Constants.NEW_CONVO);
}
onSuccess?.(data, vars, context);
},