🚧 chore: merge latest dev build (#4288)

* fix: agent initialization, add `collectedUsage` handling

* style: improve side panel styling

* refactor(loadAgent): Optimize order agent project ID retrieval

* feat: code execution

* fix: typing issues

* feat: ExecuteCode content part

* refactor: use local state for default collapsed state of analysis content parts

* fix: code parsing in ExecuteCode component

* chore: bump agents package, export loadAuthValues

* refactor: Update handleTools.js to use EnvVar for code execution tool authentication

* WIP

* feat: download code outputs

* fix(useEventHandlers): type issues

* feat: backend handling for code outputs

* Refactor: Remove console.log statement in Part.tsx

* refactor: add attachments to TMessage/messageSchema

* WIP: prelim handling for code outputs

* feat: attachments rendering

* refactor: improve attachments rendering

* fix: attachments, nullish edge case, handle attachments from event stream, bump agents package

* fix filename download

* fix: tool assignment for 'run code' on agent creation

* fix: image handling by adding attachments

* refactor: prevent agent creation without provider/model

* refactor: remove unnecessary space in agent creation success message

* refactor: select first model if selecting provider from empty on form

* fix: Agent avatar bug

* fix: `defaultAgentFormValues` causing boolean typing issue and typeerror

* fix: capabilities counting as tools, causing duplication of them

* fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation)

* chore: bump @librechat/agents dependency to version 1.6.9

* feat: bedrock agents

* feat: new Agents icon

* feat: agent titling

* feat: agent landing

* refactor: allow sharing agent globally only if user is admin or author

* feat: initial AgentPanelSkeleton

* feat: AgentPanelSkeleton

* feat: collaborative agents

* chore: add potential authorName as part of schema

* chore: Remove unnecessary console.log statement

* WIP: agent model parameters

* chore: ToolsDialog typing and tool related localization chnages

* refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper

* chore: add back tools

* feat: Agent knowledge files upload

* refactor: better verbiage for disabled knowledge

* chore: debug logs for file deletions

* chore: debug logs for file deletions

* feat: upload/delete agent knowledge/file-search files

* feat: file search UI for agents

* feat: first pass, file search tool

* chore: update default agent capabilities and info
This commit is contained in:
Danny Avila 2024-09-30 17:17:57 -04:00 committed by GitHub
parent f33e75e2ee
commit ad74350036
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123 changed files with 3611 additions and 1541 deletions

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export * from './queries';

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import { QueryKeys, dataService } from 'librechat-data-provider';
import { useQuery, useQueryClient } from '@tanstack/react-query';
import type { QueryObserverResult, UseQueryOptions } from '@tanstack/react-query';
import type t from 'librechat-data-provider';
import { addFileToCache } from '~/utils';
export const useGetFiles = <TData = t.TFile[] | boolean>(
config?: UseQueryOptions<t.TFile[], unknown, TData>,
): QueryObserverResult<TData, unknown> => {
return useQuery<t.TFile[], unknown, TData>([QueryKeys.files], () => dataService.getFiles(), {
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
...config,
});
};
export const useGetFileConfig = <TData = t.FileConfig>(
config?: UseQueryOptions<t.FileConfig, unknown, TData>,
): QueryObserverResult<TData, unknown> => {
return useQuery<t.FileConfig, unknown, TData>(
[QueryKeys.fileConfig],
() => dataService.getFileConfig(),
{
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
...config,
},
);
};
export const useFileDownload = (userId?: string, file_id?: string): QueryObserverResult<string> => {
const queryClient = useQueryClient();
return useQuery(
[QueryKeys.fileDownload, file_id],
async () => {
if (!userId || !file_id) {
console.warn('No user ID provided for file download');
return;
}
const response = await dataService.getFileDownload(userId, file_id);
const blob = response.data;
const downloadURL = window.URL.createObjectURL(blob);
try {
const metadata: t.TFile | undefined = JSON.parse(response.headers['x-file-metadata']);
if (!metadata) {
console.warn('No metadata found for file download', response.headers);
return downloadURL;
}
addFileToCache(queryClient, metadata);
} catch (e) {
console.error('Error parsing file metadata, skipped updating file query cache', e);
}
return downloadURL;
},
{
enabled: false,
retry: false,
},
);
};
export const useCodeOutputDownload = (url = ''): QueryObserverResult<string> => {
return useQuery(
[QueryKeys.fileDownload, url],
async () => {
if (!url) {
console.warn('No user ID provided for file download');
return;
}
const response = await dataService.getCodeOutputDownload(url);
const blob = response.data;
const downloadURL = window.URL.createObjectURL(blob);
return downloadURL;
},
{
enabled: false,
retry: false,
},
);
};