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feature: V4.12.2 (#5525)

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* feat: favorite apps & quick apps with their own configuration (#5515)

* chore: extract chat history and drawer; fix model selector

* feat: display favourite apps and make it configurable

* feat: favorite apps & quick apps with their own configuration

* fix: fix tab title and add loading state for searching

* fix: cascade delete favorite app and quick app while deleting relative app

* chore: make improvements

* fix: favourite apps ui

* fix: add permission for quick apps

* chore: fix permission & clear redundant code

* perf: chat home page code

* chatbox ui

* fix: 4.12.2-dev (#5520)

* fix: add empty placeholder; fix app quick status; fix tag and layout

* chore: add tab query for the setting tabs

* chore: use `useConfirm` hook instead of `MyModal`

* remove log

* fix: fix modal padding (#5521)

* perf: manage app

* feat: enhance model provider handling and update icon references (#5493)

* perf: model provider

* sdk package

* refactor: create llm response (#5499)

* feat: add LLM response processing functions, including the creation of stream-based and complete responses

* feat: add volta configuration for node and pnpm versions

* refactor: update LLM response handling and event structure in tool choice logic

* feat: update LLM response structure and integrate with tool choice logic

* refactor: clean up imports and remove unused streamResponse function in chat and toolChoice modules

* refactor: rename answer variable to answerBuffer for clarity in LLM response handling

* feat: enhance LLM response handling with tool options and integrate tools into chat and tool choice logic

* refactor: remove volta configuration from package.json

* refactor: reorganize LLM response types and ensure default values for token counts

* refactor: streamline LLM response handling by consolidating response structure and removing redundant checks

* refactor: enhance LLM response handling by consolidating tool options and streamlining event callbacks

* fix: build error

* refactor: update tool type definitions for consistency in tool handling

* feat: llm request function

* fix: ts

* fix: ts

* fix: ahook ts

* fix: variable name

* update lock

* ts version

* doc

* remove log

* fix: translation type

* perf: workflow status check

* fix: ts

* fix: prompt tool call

* fix: fix missing plugin interact window & make tag draggable (#5527)

* fix: incorrect select quick apps state; filter apps type (#5528)

* fix: usesafe translation

* perf: add quickapp modal

---------

Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>
Co-authored-by: Ctrlz <143257420+ctrlz526@users.noreply.github.com>
Co-authored-by: francis <zhichengfan18@gmail.com>
This commit is contained in:
Archer
2025-08-25 19:19:43 +08:00
committed by GitHub
parent d6af93074b
commit 830eb19055
172 changed files with 7452 additions and 9209 deletions
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35
packages/service/core/ai/functions/createQuestionGuide.ts
View File

@@ -1,14 +1,11 @@
import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
import { createChatCompletion } from '../config';
import { countGptMessagesTokens, countPromptTokens } from '../../../common/string/tiktoken/index';
import { loadRequestMessages } from '../../chat/utils';
import { llmCompletionsBodyFormat, formatLLMResponse } from '../utils';
import {
QuestionGuidePrompt,
QuestionGuideFooterPrompt
} from '@fastgpt/global/core/ai/prompt/agent';
import { addLog } from '../../../common/system/log';
import json5 from 'json5';
import { createLLMResponse } from '../llm/request';
export async function createQuestionGuide({
messages,
@@ -30,31 +27,23 @@ export async function createQuestionGuide({
content: `${customPrompt || QuestionGuidePrompt}\n${QuestionGuideFooterPrompt}`
}
];
const requestMessages = await loadRequestMessages({
messages: concatMessages,
useVision: false
});
const { response } = await createChatCompletion({
body: llmCompletionsBodyFormat(
{
model,
temperature: 0.1,
max_tokens: 200,
messages: requestMessages,
stream: true
},
model
)
const {
answerText: answer,
usage: { inputTokens, outputTokens }
} = await createLLMResponse({
body: {
model,
temperature: 0.1,
max_tokens: 200,
messages: concatMessages,
stream: true
}
});
const { text: answer, usage } = await formatLLMResponse(response);
const start = answer.indexOf('[');
const end = answer.lastIndexOf(']');
const inputTokens = usage?.prompt_tokens || (await countGptMessagesTokens(requestMessages));
const outputTokens = usage?.completion_tokens || (await countPromptTokens(answer));
if (start === -1 || end === -1) {
addLog.warn('Create question guide error', { answer });
return {