format
This commit is contained in:
Lucas Oliveira
parent
97c9fdb2c6
commit
b20da9ab58
2 changed files with 309 additions and 309 deletions
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@ -11,170 +11,170 @@ import { useUpdateSettings } from "../_hooks/useUpdateSettings";
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import { ModelSelector } from "./model-selector";
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export function OllamaOnboarding({
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setSettings,
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sampleDataset,
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setSampleDataset,
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setIsLoadingModels,
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isEmbedding = false,
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alreadyConfigured = false,
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existingEndpoint,
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setSettings,
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sampleDataset,
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setSampleDataset,
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setIsLoadingModels,
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isEmbedding = false,
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alreadyConfigured = false,
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existingEndpoint,
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}: {
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setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
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sampleDataset: boolean;
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setSampleDataset: (dataset: boolean) => void;
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setIsLoadingModels?: (isLoading: boolean) => void;
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isEmbedding?: boolean;
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alreadyConfigured?: boolean;
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existingEndpoint?: string;
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setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
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sampleDataset: boolean;
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setSampleDataset: (dataset: boolean) => void;
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setIsLoadingModels?: (isLoading: boolean) => void;
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isEmbedding?: boolean;
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alreadyConfigured?: boolean;
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existingEndpoint?: string;
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}) {
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const [endpoint, setEndpoint] = useState(
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alreadyConfigured
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? undefined
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: existingEndpoint || `http://localhost:11434`,
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);
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const [showConnecting, setShowConnecting] = useState(false);
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const debouncedEndpoint = useDebouncedValue(endpoint, 500);
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const [endpoint, setEndpoint] = useState(
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alreadyConfigured
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? undefined
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: existingEndpoint || `http://localhost:11434`,
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);
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const [showConnecting, setShowConnecting] = useState(false);
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const debouncedEndpoint = useDebouncedValue(endpoint, 500);
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// Fetch models from API when endpoint is provided (debounced)
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const {
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data: modelsData,
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isLoading: isLoadingModels,
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error: modelsError,
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} = useGetOllamaModelsQuery(
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debouncedEndpoint ? { endpoint: debouncedEndpoint } : undefined,
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{ enabled: !!debouncedEndpoint || alreadyConfigured || alreadyConfigured },
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);
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// Fetch models from API when endpoint is provided (debounced)
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const {
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data: modelsData,
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isLoading: isLoadingModels,
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error: modelsError,
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} = useGetOllamaModelsQuery(
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debouncedEndpoint ? { endpoint: debouncedEndpoint } : undefined,
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{ enabled: !!debouncedEndpoint || alreadyConfigured || alreadyConfigured },
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);
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// Use custom hook for model selection logic
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const {
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languageModel,
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embeddingModel,
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setLanguageModel,
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setEmbeddingModel,
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languageModels,
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embeddingModels,
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} = useModelSelection(modelsData, isEmbedding);
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// Use custom hook for model selection logic
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const {
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languageModel,
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embeddingModel,
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setLanguageModel,
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setEmbeddingModel,
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languageModels,
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embeddingModels,
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} = useModelSelection(modelsData, isEmbedding);
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// Handle delayed display of connecting state
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useEffect(() => {
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let timeoutId: NodeJS.Timeout;
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// Handle delayed display of connecting state
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useEffect(() => {
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let timeoutId: NodeJS.Timeout;
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if (debouncedEndpoint && isLoadingModels) {
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timeoutId = setTimeout(() => {
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setIsLoadingModels?.(true);
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setShowConnecting(true);
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}, 500);
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} else {
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setShowConnecting(false);
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setIsLoadingModels?.(false);
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}
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if (debouncedEndpoint && isLoadingModels) {
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timeoutId = setTimeout(() => {
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setIsLoadingModels?.(true);
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setShowConnecting(true);
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}, 500);
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} else {
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setShowConnecting(false);
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setIsLoadingModels?.(false);
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}
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return () => {
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if (timeoutId) {
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clearTimeout(timeoutId);
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}
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};
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}, [debouncedEndpoint, isLoadingModels, setIsLoadingModels]);
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return () => {
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if (timeoutId) {
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clearTimeout(timeoutId);
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}
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};
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}, [debouncedEndpoint, isLoadingModels, setIsLoadingModels]);
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// Update settings when values change
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useUpdateSettings(
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"ollama",
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{
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endpoint,
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languageModel,
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embeddingModel,
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},
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setSettings,
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isEmbedding,
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);
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// Update settings when values change
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useUpdateSettings(
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"ollama",
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{
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endpoint,
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languageModel,
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embeddingModel,
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},
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setSettings,
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isEmbedding,
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);
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// Check validation state based on models query
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const hasConnectionError = debouncedEndpoint && modelsError;
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const hasNoModels =
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modelsData &&
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!modelsData.language_models?.length &&
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!modelsData.embedding_models?.length;
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// Check validation state based on models query
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const hasConnectionError = debouncedEndpoint && modelsError;
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const hasNoModels =
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modelsData &&
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!modelsData.language_models?.length &&
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!modelsData.embedding_models?.length;
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return (
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<div className="space-y-4">
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<div className="space-y-1">
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<LabelInput
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label="Ollama Base URL"
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helperText="Base URL of your Ollama server"
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id="api-endpoint"
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required
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placeholder={
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alreadyConfigured
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? "http://••••••••••••••••••••"
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: "http://localhost:11434"
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}
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value={endpoint}
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onChange={(e) => setEndpoint(e.target.value)}
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disabled={alreadyConfigured}
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/>
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{alreadyConfigured && (
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<p className="text-mmd text-muted-foreground">
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Reusing endpoint from model provider selection.
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</p>
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)}
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{showConnecting && (
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<p className="text-mmd text-muted-foreground">
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Connecting to Ollama server...
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</p>
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)}
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{hasConnectionError && (
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<p className="text-mmd text-accent-amber-foreground">
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Can't reach Ollama at {debouncedEndpoint}. Update the base URL or
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start the server.
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</p>
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)}
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{hasNoModels && (
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<p className="text-mmd text-accent-amber-foreground">
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No models found. Install embedding and agent models on your Ollama
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server.
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</p>
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)}
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</div>
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{isEmbedding && setEmbeddingModel && (
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<LabelWrapper
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label="Embedding model"
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helperText="Model used for knowledge ingest and retrieval"
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id="embedding-model"
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required={true}
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>
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<ModelSelector
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options={embeddingModels}
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icon={<OllamaLogo className="w-4 h-4" />}
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noOptionsPlaceholder={
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isLoadingModels
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? "Loading models..."
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: "No embedding models detected. Install an embedding model to continue."
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}
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value={embeddingModel}
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onValueChange={setEmbeddingModel}
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/>
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</LabelWrapper>
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)}
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{!isEmbedding && setLanguageModel && (
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<LabelWrapper
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label="Language model"
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helperText="Model used for chat"
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id="embedding-model"
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required={true}
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>
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<ModelSelector
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options={languageModels}
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icon={<OllamaLogo className="w-4 h-4" />}
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noOptionsPlaceholder={
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isLoadingModels
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? "Loading models..."
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: "No language models detected. Install a language model to continue."
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}
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value={languageModel}
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onValueChange={setLanguageModel}
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/>
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</LabelWrapper>
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)}
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</div>
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);
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return (
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<div className="space-y-4">
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<div className="space-y-1">
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<LabelInput
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label="Ollama Base URL"
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helperText="Base URL of your Ollama server"
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id="api-endpoint"
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required
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placeholder={
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alreadyConfigured
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? "http://••••••••••••••••••••"
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: "http://localhost:11434"
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}
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value={endpoint}
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onChange={(e) => setEndpoint(e.target.value)}
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disabled={alreadyConfigured}
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/>
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{alreadyConfigured && (
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<p className="text-mmd text-muted-foreground">
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Reusing endpoint from model provider selection.
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</p>
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)}
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{showConnecting && (
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<p className="text-mmd text-muted-foreground">
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Connecting to Ollama server...
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</p>
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)}
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{hasConnectionError && (
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<p className="text-mmd text-accent-amber-foreground">
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Can't reach Ollama at {debouncedEndpoint}. Update the base URL or
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start the server.
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</p>
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)}
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{hasNoModels && (
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<p className="text-mmd text-accent-amber-foreground">
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No models found. Install embedding and agent models on your Ollama
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server.
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</p>
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)}
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</div>
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{isEmbedding && setEmbeddingModel && (
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<LabelWrapper
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label="Embedding model"
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helperText="Model used for knowledge ingest and retrieval"
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id="embedding-model"
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required={true}
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>
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<ModelSelector
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options={embeddingModels}
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icon={<OllamaLogo className="w-4 h-4" />}
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noOptionsPlaceholder={
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isLoadingModels
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? "Loading models..."
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: "No embedding models detected. Install an embedding model to continue."
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}
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value={embeddingModel}
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onValueChange={setEmbeddingModel}
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/>
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</LabelWrapper>
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)}
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{!isEmbedding && setLanguageModel && (
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<LabelWrapper
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label="Language model"
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helperText="Model used for chat"
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id="embedding-model"
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required={true}
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>
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<ModelSelector
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options={languageModels}
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icon={<OllamaLogo className="w-4 h-4" />}
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noOptionsPlaceholder={
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isLoadingModels
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? "Loading models..."
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: "No language models detected. Install a language model to continue."
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}
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value={languageModel}
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onValueChange={setLanguageModel}
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/>
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</LabelWrapper>
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)}
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</div>
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);
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}
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@ -5,9 +5,9 @@ import { LabelInput } from "@/components/label-input";
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import { LabelWrapper } from "@/components/label-wrapper";
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import { Switch } from "@/components/ui/switch";
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import {
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Tooltip,
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TooltipContent,
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TooltipTrigger,
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Tooltip,
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TooltipContent,
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TooltipTrigger,
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} from "@/components/ui/tooltip";
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import { useDebouncedValue } from "@/lib/debounce";
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import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
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@ -17,161 +17,161 @@ import { useUpdateSettings } from "../_hooks/useUpdateSettings";
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import { AdvancedOnboarding } from "./advanced";
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export function OpenAIOnboarding({
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setSettings,
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sampleDataset,
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setSampleDataset,
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setIsLoadingModels,
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isEmbedding = false,
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hasEnvApiKey = false,
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alreadyConfigured = false,
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setSettings,
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sampleDataset,
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setSampleDataset,
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setIsLoadingModels,
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isEmbedding = false,
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hasEnvApiKey = false,
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alreadyConfigured = false,
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}: {
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setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
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sampleDataset: boolean;
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setSampleDataset: (dataset: boolean) => void;
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setIsLoadingModels?: (isLoading: boolean) => void;
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isEmbedding?: boolean;
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hasEnvApiKey?: boolean;
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alreadyConfigured?: boolean;
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setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
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sampleDataset: boolean;
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setSampleDataset: (dataset: boolean) => void;
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setIsLoadingModels?: (isLoading: boolean) => void;
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isEmbedding?: boolean;
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hasEnvApiKey?: boolean;
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alreadyConfigured?: boolean;
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}) {
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const [apiKey, setApiKey] = useState("");
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const [getFromEnv, setGetFromEnv] = useState(
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hasEnvApiKey && !alreadyConfigured,
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);
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const debouncedApiKey = useDebouncedValue(apiKey, 500);
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const [apiKey, setApiKey] = useState("");
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const [getFromEnv, setGetFromEnv] = useState(
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hasEnvApiKey && !alreadyConfigured,
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);
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const debouncedApiKey = useDebouncedValue(apiKey, 500);
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// Fetch models from API when API key is provided
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const {
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data: modelsData,
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isLoading: isLoadingModels,
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error: modelsError,
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} = useGetOpenAIModelsQuery(
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getFromEnv
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? { apiKey: "" }
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: debouncedApiKey
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? { apiKey: debouncedApiKey }
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: undefined,
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{
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// Only validate when the user opts in (env) or provides a key.
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// If a key was previously configured, let the user decide to reuse or replace it
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// without triggering an immediate validation error.
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enabled: debouncedApiKey !== "" || getFromEnv || alreadyConfigured,
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},
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);
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// Use custom hook for model selection logic
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const {
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languageModel,
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embeddingModel,
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setLanguageModel,
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setEmbeddingModel,
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languageModels,
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embeddingModels,
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} = useModelSelection(modelsData, isEmbedding);
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const handleSampleDatasetChange = (dataset: boolean) => {
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setSampleDataset(dataset);
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};
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// Fetch models from API when API key is provided
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const {
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data: modelsData,
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isLoading: isLoadingModels,
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error: modelsError,
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} = useGetOpenAIModelsQuery(
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getFromEnv
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? { apiKey: "" }
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: debouncedApiKey
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? { apiKey: debouncedApiKey }
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: undefined,
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{
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// Only validate when the user opts in (env) or provides a key.
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// If a key was previously configured, let the user decide to reuse or replace it
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// without triggering an immediate validation error.
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enabled: debouncedApiKey !== "" || getFromEnv || alreadyConfigured,
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},
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);
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// Use custom hook for model selection logic
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const {
|
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languageModel,
|
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embeddingModel,
|
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setLanguageModel,
|
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setEmbeddingModel,
|
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languageModels,
|
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embeddingModels,
|
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} = useModelSelection(modelsData, isEmbedding);
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const handleSampleDatasetChange = (dataset: boolean) => {
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setSampleDataset(dataset);
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};
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const handleGetFromEnvChange = (fromEnv: boolean) => {
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setGetFromEnv(fromEnv);
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if (fromEnv) {
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setApiKey("");
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}
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setEmbeddingModel?.("");
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setLanguageModel?.("");
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};
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const handleGetFromEnvChange = (fromEnv: boolean) => {
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setGetFromEnv(fromEnv);
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if (fromEnv) {
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setApiKey("");
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}
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setEmbeddingModel?.("");
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setLanguageModel?.("");
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};
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useEffect(() => {
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setIsLoadingModels?.(isLoadingModels);
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}, [isLoadingModels, setIsLoadingModels]);
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useEffect(() => {
|
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setIsLoadingModels?.(isLoadingModels);
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}, [isLoadingModels, setIsLoadingModels]);
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// Update settings when values change
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useUpdateSettings(
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"openai",
|
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{
|
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apiKey,
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languageModel,
|
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embeddingModel,
|
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},
|
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setSettings,
|
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isEmbedding,
|
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);
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// Update settings when values change
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useUpdateSettings(
|
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"openai",
|
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{
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apiKey,
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languageModel,
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embeddingModel,
|
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},
|
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setSettings,
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isEmbedding,
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);
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return (
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<>
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<div className="space-y-5">
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{!alreadyConfigured && (
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<LabelWrapper
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label="Use environment OpenAI API key"
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id="get-api-key"
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description="Reuse the key from your environment config. Turn off to enter a different key."
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flex
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>
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<Tooltip>
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<TooltipTrigger asChild>
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<div>
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<Switch
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checked={getFromEnv}
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onCheckedChange={handleGetFromEnvChange}
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disabled={!hasEnvApiKey}
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/>
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</div>
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</TooltipTrigger>
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{!hasEnvApiKey && (
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<TooltipContent>
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OpenAI API key not detected in the environment.
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</TooltipContent>
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)}
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</Tooltip>
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</LabelWrapper>
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)}
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{(!getFromEnv || alreadyConfigured) && (
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<div className="space-y-1">
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<LabelInput
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label="OpenAI API key"
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helperText="The API key for your OpenAI account."
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className={modelsError ? "!border-destructive" : ""}
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id="api-key"
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type="password"
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required
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placeholder={
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alreadyConfigured
|
||||
? "sk-•••••••••••••••••••••••••••••••••••••••••"
|
||||
: "sk-..."
|
||||
}
|
||||
value={apiKey}
|
||||
onChange={(e) => setApiKey(e.target.value)}
|
||||
// Even if a key exists, allow replacing it to avoid getting stuck on stale creds.
|
||||
disabled={false}
|
||||
/>
|
||||
{alreadyConfigured && (
|
||||
<p className="text-mmd text-muted-foreground">
|
||||
Existing OpenAI key detected. You can reuse it or enter a new
|
||||
one.
|
||||
</p>
|
||||
)}
|
||||
{isLoadingModels && (
|
||||
<p className="text-mmd text-muted-foreground">
|
||||
Validating API key...
|
||||
</p>
|
||||
)}
|
||||
{modelsError && (
|
||||
<p className="text-mmd text-destructive">
|
||||
Invalid OpenAI API key. Verify or replace the key.
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<AdvancedOnboarding
|
||||
icon={<OpenAILogo className="w-4 h-4" />}
|
||||
languageModels={languageModels}
|
||||
embeddingModels={embeddingModels}
|
||||
languageModel={languageModel}
|
||||
embeddingModel={embeddingModel}
|
||||
sampleDataset={sampleDataset}
|
||||
setLanguageModel={setLanguageModel}
|
||||
setSampleDataset={handleSampleDatasetChange}
|
||||
setEmbeddingModel={setEmbeddingModel}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
return (
|
||||
<>
|
||||
<div className="space-y-5">
|
||||
{!alreadyConfigured && (
|
||||
<LabelWrapper
|
||||
label="Use environment OpenAI API key"
|
||||
id="get-api-key"
|
||||
description="Reuse the key from your environment config. Turn off to enter a different key."
|
||||
flex
|
||||
>
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<div>
|
||||
<Switch
|
||||
checked={getFromEnv}
|
||||
onCheckedChange={handleGetFromEnvChange}
|
||||
disabled={!hasEnvApiKey}
|
||||
/>
|
||||
</div>
|
||||
</TooltipTrigger>
|
||||
{!hasEnvApiKey && (
|
||||
<TooltipContent>
|
||||
OpenAI API key not detected in the environment.
|
||||
</TooltipContent>
|
||||
)}
|
||||
</Tooltip>
|
||||
</LabelWrapper>
|
||||
)}
|
||||
{(!getFromEnv || alreadyConfigured) && (
|
||||
<div className="space-y-1">
|
||||
<LabelInput
|
||||
label="OpenAI API key"
|
||||
helperText="The API key for your OpenAI account."
|
||||
className={modelsError ? "!border-destructive" : ""}
|
||||
id="api-key"
|
||||
type="password"
|
||||
required
|
||||
placeholder={
|
||||
alreadyConfigured
|
||||
? "sk-•••••••••••••••••••••••••••••••••••••••••"
|
||||
: "sk-..."
|
||||
}
|
||||
value={apiKey}
|
||||
onChange={(e) => setApiKey(e.target.value)}
|
||||
// Even if a key exists, allow replacing it to avoid getting stuck on stale creds.
|
||||
disabled={false}
|
||||
/>
|
||||
{alreadyConfigured && (
|
||||
<p className="text-mmd text-muted-foreground">
|
||||
Existing OpenAI key detected. You can reuse it or enter a new
|
||||
one.
|
||||
</p>
|
||||
)}
|
||||
{isLoadingModels && (
|
||||
<p className="text-mmd text-muted-foreground">
|
||||
Validating API key...
|
||||
</p>
|
||||
)}
|
||||
{modelsError && (
|
||||
<p className="text-mmd text-destructive">
|
||||
Invalid OpenAI API key. Verify or replace the key.
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<AdvancedOnboarding
|
||||
icon={<OpenAILogo className="w-4 h-4" />}
|
||||
languageModels={languageModels}
|
||||
embeddingModels={embeddingModels}
|
||||
languageModel={languageModel}
|
||||
embeddingModel={embeddingModel}
|
||||
sampleDataset={sampleDataset}
|
||||
setLanguageModel={setLanguageModel}
|
||||
setSampleDataset={handleSampleDatasetChange}
|
||||
setEmbeddingModel={setEmbeddingModel}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue