fix: change fetch to http service (#1577)
* fix: change fetch to http service
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@ -46,7 +46,7 @@ const preResponse = (res) => {
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return Promise.reject(res.data.error)
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}
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return res.data?.data
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return res.data?.data || res.data
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}
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const openLogin = () => {
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@ -19,7 +19,7 @@ const DEFAULT_MODELS = [{ label: 'DeepSeek:DeepSeek-V3', value: 'deepseek-chat
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export const getAIModelOptions = () => {
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const aiRobotOptions = getOptions(meta.id)?.customCompatibleAIModels || []
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return [...DEFAULT_MODELS, ...aiRobotOptions]
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return aiRobotOptions.length ? aiRobotOptions : DEFAULT_MODELS
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}
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// 这里存放的是aichat的响应式数据
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@ -26,7 +26,7 @@ const defaultMarkdownItOptions = {
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}
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const props = defineProps<{
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type: 'markdown' | 'text'
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type?: 'markdown' | 'text'
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content: string
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options?: MarkdownItOptions
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}>()
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@ -2,6 +2,7 @@ import { toRaw } from 'vue'
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import useMcpServer from './useMcp'
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import type { LLMMessage, RobotMessage } from './types'
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import type { LLMRequestBody, LLMResponse, ReponseToolCall, RequestOptions, RequestTool } from './types'
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import { META_SERVICE, getMetaApi } from '@opentiny/tiny-engine-meta-register'
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let requestOptions: RequestOptions = {}
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@ -14,13 +15,11 @@ const fetchLLM = async (messages: LLMMessage[], tools: RequestTool[], options: R
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if (tools.length > 0) {
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bodyObj.tools = toRaw(tools)
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}
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return fetch(options?.url || '/app-center/api/chat/completions', {
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method: 'POST',
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return getMetaApi(META_SERVICE.Http).post(options?.url || '/app-center/api/chat/completions', bodyObj, {
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headers: {
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'Content-Type': 'application/json',
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...options?.headers
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},
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body: JSON.stringify(bodyObj)
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}
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})
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}
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@ -82,7 +81,7 @@ const handleToolCall = async (
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result: toolCallResult.content
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}
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}
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const newResp = await fetchLLM(toolMessages, tools).then((res) => res.json())
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const newResp = await fetchLLM(toolMessages, tools)
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const hasToolCall = newResp.choices[0].message.tool_calls?.length > 0
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if (hasToolCall) {
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await handleToolCall(newResp, tools, messages, toolMessages)
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@ -103,7 +102,7 @@ export const sendMcpRequest = async (messages: LLMMessage[], options: RequestOpt
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}
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const tools = await useMcpServer().getLLMTools()
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requestOptions = options
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const res = await fetchLLM(messages.slice(0, -1), tools, options).then((res) => res.json())
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const res = await fetchLLM(messages.slice(0, -1), tools, options)
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const hasToolCall = res.choices[0].message.tool_calls?.length > 0
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if (hasToolCall) {
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await handleToolCall(res, tools, messages)
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