🚀 feat: Assistants Streaming (#2159)

* chore: bump openai to 4.29.0 and npm audit fix

* chore: remove unnecessary stream field from ContentData

* feat: new enum and types for AssistantStreamEvent

* refactor(AssistantService): remove stream field and add conversationId to text ContentData
> - return `finalMessage` and `text` on run completion
> - move `processMessages` to services/Threads to avoid circular dependencies with new stream handling
> - refactor(processMessages/retrieveAndProcessFile): add new `client` field to differentiate new RunClient type

* WIP: new assistants stream handling

* chore: stores messages to StreamRunManager

* chore: add additional typedefs

* fix: pass req and openai to StreamRunManager

* fix(AssistantService): pass openai as client to `retrieveAndProcessFile`

* WIP: streaming tool i/o, handle in_progress and completed run steps

* feat(assistants): process required actions with streaming enabled

* chore: condense early return check for useSSE useEffect

* chore: remove unnecessary comments and only handle completed tool calls when not function

* feat: add TTL for assistants run abort cacheKey

* feat: abort stream runs

* fix(assistants): render streaming cursor

* fix(assistants): hide edit icon as functionality is not supported

* fix(textArea): handle pasting edge cases; first, when onChange events wouldn't fire; second, when textarea wouldn't resize

* chore: memoize Conversations

* chore(useTextarea): reverse args order

* fix: load default capabilities when an azure is configured to support assistants, but `assistants` endpoint is not configured

* fix(AssistantSelect): update form assistant model on assistant form select

* fix(actions): handle azure strict validation for function names to fix crud for actions

* chore: remove content data debug log as it fires in rapid succession

* feat: improve UX for assistant errors mid-request

* feat: add tool call localizations and replace any domain separators from azure action names

* refactor(chat): error out tool calls without outputs during handleError

* fix(ToolService): handle domain separators allowing Azure use of actions

* refactor(StreamRunManager): types and throw Error if tool submission fails
This commit is contained in:
Danny Avila 2024-03-21 22:42:25 -04:00 committed by GitHub
parent ed64c76053
commit f427ad792a
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39 changed files with 1503 additions and 330 deletions

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@ -338,19 +338,26 @@ const processFileUpload = async ({ req, res, file, metadata }) => {
* Retrieves and processes an OpenAI file based on its type.
*
* @param {Object} params - The params passed to the function.
* @param {OpenAIClient} params.openai - The params passed to the function.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {RunClient} params.client - The LibreChat client instance: either refers to `openai` or `streamRunManager`.
* @param {string} params.file_id - The ID of the file to retrieve.
* @param {string} params.basename - The basename of the file (if image); e.g., 'image.jpg'.
* @param {boolean} [params.unknownType] - Whether the file type is unknown.
* @returns {Promise<{file_id: string, filepath: string, source: string, bytes?: number, width?: number, height?: number} | null>}
* - Returns null if `file_id` is not defined; else, the file metadata if successfully retrieved and processed.
*/
async function retrieveAndProcessFile({ openai, file_id, basename: _basename, unknownType }) {
async function retrieveAndProcessFile({
openai,
client,
file_id,
basename: _basename,
unknownType,
}) {
if (!file_id) {
return null;
}
if (openai.attachedFileIds?.has(file_id)) {
if (client.attachedFileIds?.has(file_id)) {
return {
file_id,
// filepath: TODO: local source filepath?,
@ -416,7 +423,7 @@ async function retrieveAndProcessFile({ openai, file_id, basename: _basename, un
*/
const processAsImage = async (dataBuffer, fileExt) => {
// Logic to process image files, convert to webp, etc.
const _file = await convertToWebP(openai.req, dataBuffer, 'high', `${file_id}${fileExt}`);
const _file = await convertToWebP(client.req, dataBuffer, 'high', `${file_id}${fileExt}`);
const file = {
..._file,
type: 'image/webp',