perf: 优化hint渲染方式,为部分类型供应商添加默认的温度选项 (#2321)

* feat:为webchat页面添加一个手动上传文件按钮(目前只处理图片)

* fix:上传后清空value,允许触发change事件以多次上传同一张图片

* perf:webchat页面消息发送后清空图片预览缩略图,维持与文本信息行为一致

* perf:将文件输入的值重置为空字符串以提升浏览器兼容性

* feat:webchat文件上传按钮支持多选文件上传

* fix:释放blob URL以防止内存泄漏

* perf:并行化sendMessage中的图片获取逻辑

* perf:优化hint渲染方式,为部分类型供应商添加默认的温度选项
This commit is contained in:
RC-CHN
2025-08-12 21:53:06 +08:00
committed by GitHub
parent 7d46314dc8
commit 73edeae013
3 changed files with 46 additions and 6 deletions
+20 -3
View File
@@ -599,7 +599,9 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "gpt-4o-mini",
"temperature": 0.4
},
"hint": "也兼容所有与OpenAI API兼容的服务。"
},
"Azure OpenAI": {
"id": "azure",
@@ -613,6 +615,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "gpt-4o-mini",
"temperature": 0.4
},
},
"xAI": {
@@ -626,9 +629,11 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "grok-2-latest",
"temperature": 0.4
},
},
"Anthropic": {
"hint": "注意Claude系列模型的温度调节范围为0到1.0,超出可能导致报错",
"id": "claude",
"provider": "anthropic",
"type": "anthropic_chat_completion",
@@ -640,9 +645,11 @@ CONFIG_METADATA_2 = {
"model_config": {
"model": "claude-3-5-sonnet-latest",
"max_tokens": 4096,
"temperature": 0.2
},
},
"Ollama": {
"hint":"启用前请确保已正确安装并运行 Ollama 服务端,Ollama默认不带鉴权,无需修改key",
"id": "ollama_default",
"provider": "ollama",
"type": "openai_chat_completion",
@@ -652,6 +659,7 @@ CONFIG_METADATA_2 = {
"api_base": "http://localhost:11434/v1",
"model_config": {
"model": "llama3.1-8b",
"temperature": 0.4
},
},
"LM Studio": {
@@ -677,6 +685,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "gemini-1.5-flash",
"temperature": 0.4
},
},
"Gemini": {
@@ -690,6 +699,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "gemini-2.0-flash-exp",
"temperature": 0.4
},
"gm_resp_image_modal": False,
"gm_native_search": False,
@@ -716,6 +726,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "deepseek-chat",
"temperature": 0.4
},
},
"302.AI": {
@@ -729,6 +740,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "gpt-4.1-mini",
"temperature": 0.4
},
},
"硅基流动": {
@@ -742,6 +754,7 @@ CONFIG_METADATA_2 = {
"api_base": "https://api.siliconflow.cn/v1",
"model_config": {
"model": "deepseek-ai/DeepSeek-V3",
"temperature": 0.4
},
},
"PPIO派欧云": {
@@ -755,6 +768,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {
"model": "deepseek/deepseek-r1",
"temperature": 0.4
},
},
"优云智算": {
@@ -781,6 +795,7 @@ CONFIG_METADATA_2 = {
"api_base": "https://api.moonshot.cn/v1",
"model_config": {
"model": "moonshot-v1-8k",
"temperature": 0.4
},
},
"智谱 AI": {
@@ -809,6 +824,7 @@ CONFIG_METADATA_2 = {
"dify_query_input_key": "astrbot_text_query",
"variables": {},
"timeout": 60,
"hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致!"
},
"阿里云百炼应用": {
"id": "dashscope",
@@ -838,6 +854,7 @@ CONFIG_METADATA_2 = {
"api_base": "https://api-inference.modelscope.cn/v1",
"model_config": {
"model": "Qwen/Qwen3-32B",
"temperature": 0.4
},
},
"FastGPT": {
@@ -861,7 +878,7 @@ CONFIG_METADATA_2 = {
"model": "whisper-1",
},
"Whisper(本地加载)": {
"whisper_hint": "(不用修改我)",
"hint": "启用前请 pip 安装 openai-whisper 库(N卡用户大约下载 2GB,主要是 torch 和 cudaCPU 用户大约下载 1 GB),并且安装 ffmpeg。否则将无法正常转文字。",
"provider": "openai",
"type": "openai_whisper_selfhost",
"provider_type": "speech_to_text",
@@ -870,7 +887,7 @@ CONFIG_METADATA_2 = {
"model": "tiny",
},
"SenseVoice(本地加载)": {
"sensevoice_hint": "(不用修改我)",
"hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库(默认使用CPU,大约下载 1 GB),并且安装 ffmpeg。否则将无法正常转文字。",
"type": "sensevoice_stt_selfhost",
"provider": "sensevoice",
"provider_type": "speech_to_text",
@@ -892,7 +909,7 @@ CONFIG_METADATA_2 = {
"timeout": "20",
},
"Edge TTS": {
"edgetts_hint": "提示:使用这个服务前需要安装有 ffmpeg,并且可以直接在终端调用 ffmpeg 指令。",
"hint": "提示:使用这个服务前需要安装有 ffmpeg,并且可以直接在终端调用 ffmpeg 指令。",
"id": "edge_tts",
"provider": "microsoft",
"type": "edge_tts",
@@ -1,10 +1,10 @@
<script setup>
import { VueMonacoEditor } from '@guolao/vue-monaco-editor'
import { ref } from 'vue'
import { ref, computed } from 'vue'
import ListConfigItem from './ListConfigItem.vue'
import { useI18n } from '@/i18n/composables'
defineProps({
const props = defineProps({
metadata: {
type: Object,
required: true
@@ -16,11 +16,21 @@ defineProps({
metadataKey: {
type: String,
required: true
},
isEditing: {
type: Boolean,
default: false
}
})
const { t } = useI18n()
const filteredIterable = computed(() => {
if (!props.iterable) return {}
const { hint, ...rest } = props.iterable
return rest
})
const dialog = ref(false)
const currentEditingKey = ref('')
const currentEditingLanguage = ref('json')
@@ -54,7 +64,19 @@ function saveEditedContent() {
<v-card-text class="px-0 py-1">
<!-- Object Type Configuration -->
<div v-if="metadata[metadataKey]?.type === 'object' || metadata[metadataKey]?.config_template" class="object-config">
<div v-for="(val, key, index) in iterable" :key="key" class="config-item">
<!-- Provider-level hint -->
<v-alert
v-if="iterable.hint && !isEditing"
type="info"
variant="tonal"
class="mb-4"
border="start"
density="compact"
>
{{ iterable.hint }}
</v-alert>
<div v-for="(val, key, index) in filteredIterable" :key="key" class="config-item">
<!-- Nested Object -->
<div v-if="metadata[metadataKey].items[key]?.type === 'object'" class="nested-object">
<div v-if="metadata[metadataKey].items[key] && !metadata[metadataKey].items[key]?.invisible" class="nested-container">
+1
View File
@@ -233,6 +233,7 @@
:iterable="newSelectedProviderConfig"
:metadata="metadata['provider_group']?.metadata"
metadataKey="provider"
:is-editing="updatingMode"
/>
</v-card-text>