File input (#2270)

* doc

* feat: file upload  config

* perf: chat box file params

* feat: markdown show file

* feat: chat file store and clear

* perf: read file contentType

* feat: llm vision config

* feat: file url output

* perf: plugin error text

* perf: image load

* feat: ai chat document

* perf: file block ui

* feat: read file node

* feat: file read response field

* feat: simple mode support read files

* feat: tool call

* feat: read file histories

* perf: select file

* perf: select file config

* i18n

* i18n

* fix: ts; feat: tool response preview result

packages/service/core/ai/functions/createQuestionGuide.ts

@@ -1,6 +1,7 @@
 import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
 import { getAIApi } from '../config';
 import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
+import { loadRequestMessages } from '../../chat/utils';
 
 export const Prompt_QuestionGuide = `你是一个AI智能助手，可以回答和解决我的问题。请结合前面的对话记录，帮我生成 3 个问题，引导我继续提问。问题的长度应小于20个字符，按 JSON 格式返回: ["问题1", "问题2", "问题3"]`;
 
@@ -25,7 +26,10 @@ export async function createQuestionGuide({
     model: model,
     temperature: 0.1,
     max_tokens: 200,
-    messages: concatMessages,
+    messages: await loadRequestMessages({
+      messages: concatMessages,
+      useVision: false
+    }),
     stream: false
   });
 

packages/service/core/ai/utils.ts

@@ -0,0 +1,39 @@
+import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
+import { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
+import { countGptMessagesTokens } from '../../common/string/tiktoken';
+
+export const computedMaxToken = async ({
+  maxToken,
+  model,
+  filterMessages = []
+}: {
+  maxToken: number;
+  model: LLMModelItemType;
+  filterMessages: ChatCompletionMessageParam[];
+}) => {
+  maxToken = Math.min(maxToken, model.maxResponse);
+  const tokensLimit = model.maxContext;
+
+  /* count response max token */
+  const promptsToken = await countGptMessagesTokens(filterMessages);
+  maxToken = promptsToken + maxToken > tokensLimit ? tokensLimit - promptsToken : maxToken;
+
+  if (maxToken <= 0) {
+    maxToken = 200;
+  }
+  return maxToken;
+};
+
+// FastGPT temperature range: [0,10], ai temperature:[0,2],{0,1]……
+export const computedTemperature = ({
+  model,
+  temperature
+}: {
+  model: LLMModelItemType;
+  temperature: number;
+}) => {
+  temperature = +(model.maxTemperature * (temperature / 10)).toFixed(2);
+  temperature = Math.max(temperature, 0.01);
+
+  return temperature;
+};