Merge pull request #4480 from janhq/chore/correct-mistral-ai-request-transformation-template
chore: remote provider error handling and chore bug fix
This commit is contained in:
commit
0547cac0bf
@ -91,8 +91,12 @@ export function requestInference(
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const toParse = cachedLines + line
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const toParse = cachedLines + line
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if (!line.includes('data: [DONE]')) {
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if (!line.includes('data: [DONE]')) {
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const data = JSON.parse(toParse.replace('data: ', ''))
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const data = JSON.parse(toParse.replace('data: ', ''))
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if ('error' in data) {
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if (
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subscriber.error(data.error)
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'error' in data ||
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'message' in data ||
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'detail' in data
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) {
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subscriber.error(data.error ?? data)
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subscriber.complete()
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subscriber.complete()
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return
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return
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}
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}
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@ -10,7 +10,7 @@
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"transform_req": {
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"transform_req": {
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"chat_completions": {
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"chat_completions": {
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"url": "https://api.mistral.ai/v1/chat/completions",
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"url": "https://api.mistral.ai/v1/chat/completions",
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"template": "{{tojson(input_request)}}"
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"template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }"
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}
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}
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},
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},
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"transform_resp": {
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"transform_resp": {
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@ -1 +1 @@
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1.0.9-rc3
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1.0.9-rc4
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@ -36,8 +36,6 @@ import {
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import MyModelList from './MyModelList'
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import MyModelList from './MyModelList'
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import { extensionManager } from '@/extension'
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import {
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import {
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downloadedModelsAtom,
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downloadedModelsAtom,
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showEngineListModelAtom,
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showEngineListModelAtom,
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@ -52,9 +50,6 @@ const MyModels = () => {
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showEngineListModelAtom
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showEngineListModelAtom
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)
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)
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const [extensionHasSettings, setExtensionHasSettings] = useState<
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{ name?: string; setting: string; apiKey: string; provider: string }[]
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>([])
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const { engines } = useGetEngines()
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const { engines } = useGetEngines()
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const isLocalEngine = useCallback(
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const isLocalEngine = useCallback(
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@ -97,45 +92,6 @@ const MyModels = () => {
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setSearchText(input)
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setSearchText(input)
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}, [])
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}, [])
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useEffect(() => {
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const getAllSettings = async () => {
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const extensionsMenu: {
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name?: string
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setting: string
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apiKey: string
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provider: string
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}[] = []
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const extensions = extensionManager.getAll()
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for (const extension of extensions) {
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if (typeof extension.getSettings === 'function') {
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const settings = await extension.getSettings()
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if (
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(settings && settings.length > 0) ||
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(await extension.installationState()) !== 'NotRequired'
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) {
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extensionsMenu.push({
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name: extension.productName,
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setting: extension.name,
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apiKey:
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'apiKey' in extension && typeof extension.apiKey === 'string'
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? extension.apiKey
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: '',
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provider:
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'provider' in extension &&
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typeof extension.provider === 'string'
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? extension.provider
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: '',
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})
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}
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}
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}
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setExtensionHasSettings(extensionsMenu)
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}
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getAllSettings()
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}, [])
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const findByEngine = filteredDownloadedModels.map((x) => {
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const findByEngine = filteredDownloadedModels.map((x) => {
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// Legacy engine support - they will be grouped under Cortex LlamaCPP
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// Legacy engine support - they will be grouped under Cortex LlamaCPP
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if (x.engine === InferenceEngine.nitro)
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if (x.engine === InferenceEngine.nitro)
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@ -158,9 +114,11 @@ const MyModels = () => {
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}
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}
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})
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})
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const getEngineStatusReady: InferenceEngine[] = extensionHasSettings
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const getEngineStatusReady: InferenceEngine[] = Object.entries(engines ?? {})
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?.filter((e) => e.apiKey.length > 0)
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// eslint-disable-next-line @typescript-eslint/no-unused-vars
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.map((x) => x.provider as InferenceEngine)
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?.filter(([_, value]) => (value?.[0]?.api_key?.length ?? 0) > 0)
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// eslint-disable-next-line @typescript-eslint/no-unused-vars
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.map(([key, _]) => key as InferenceEngine)
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useEffect(() => {
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useEffect(() => {
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setShowEngineListModel((prev) => [
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setShowEngineListModel((prev) => [
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@ -168,7 +126,7 @@ const MyModels = () => {
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...(getEngineStatusReady as InferenceEngine[]),
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...(getEngineStatusReady as InferenceEngine[]),
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])
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])
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// eslint-disable-next-line react-hooks/exhaustive-deps
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// eslint-disable-next-line react-hooks/exhaustive-deps
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}, [setShowEngineListModel, extensionHasSettings])
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}, [setShowEngineListModel, engines])
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return (
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return (
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<div {...getRootProps()} className="h-full w-full">
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<div {...getRootProps()} className="h-full w-full">
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