4.6.8-alpha (#804)

* perf: redirect request and err log replace

perf: dataset openapi

feat: session

fix: retry input error

feat: 468 doc

sub page

feat: standard sub

perf: rerank tip

perf: rerank tip

perf: api sdk

perf: openapi

sub plan

perf: sub ui

fix: ts

* perf: init log

* fix: variable select

* sub page

* icon

* perf: llm model config

* perf: menu ux

* perf: system store

* perf: publish app name

* fix: init data

* perf: flow edit ux

* fix: value type format and ux

* fix prompt editor default value (#13)

* fix prompt editor default value

* fix prompt editor update when not focus

* add key with variable

---------

Co-authored-by: Archer <545436317@qq.com>

* fix: value type

* doc

* i18n

* import path

* home page

* perf: mongo session running

* fix: ts

* perf: use toast

* perf: flow edit

* perf: sse response

* slider ui

* fetch error

* fix prompt editor rerender when not focus by key defaultvalue (#14)

* perf: prompt editor

* feat: dataset search concat

* perf: doc

* fix:ts

* perf: doc

* fix json editor onblur value (#15)

* faq

* vector model default config

* ipv6

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
This commit is contained in:
Archer
2024-02-01 21:57:41 +08:00
committed by GitHub
parent fc19c4cf09
commit 34602b25df
285 changed files with 10345 additions and 11223 deletions

View File

@@ -1,15 +1,13 @@
import { VectorModelItemType } from '@fastgpt/global/core/ai/model.d';
import { getAIApi } from '../config';
export type GetVectorProps = {
model: string;
type GetVectorProps = {
model: VectorModelItemType;
input: string;
};
// text to vector
export async function getVectorsByText({
model = 'text-embedding-ada-002',
input
}: GetVectorProps) {
export async function getVectorsByText({ model, input }: GetVectorProps) {
if (!input) {
return Promise.reject({
code: 500,
@@ -23,7 +21,8 @@ export async function getVectorsByText({
// input text to vector
const result = await ai.embeddings
.create({
model,
...model.defaultConfig,
model: model.model,
input: [input]
})
.then(async (res) => {