move folders from merge

This commit is contained in:
Cole Goldsmith 2025-11-14 15:36:31 -06:00
parent 16d49c5f2d
commit 21a9562780
8 changed files with 567 additions and 1215 deletions

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@ -1,95 +1,97 @@
import { GitBranch } from "lucide-react"; import { GitBranch } from "lucide-react";
import { motion } from "motion/react"; import { motion } from "motion/react";
import DogIcon from "@/components/icons/dog-icon"; import DogIcon from "@/components/logo/dog-icon";
import { MarkdownRenderer } from "@/components/markdown-renderer"; import { MarkdownRenderer } from "@/components/markdown-renderer";
import { cn } from "@/lib/utils"; import { cn } from "@/lib/utils";
import type { FunctionCall } from "../_types/types"; import type { FunctionCall } from "../types";
import { FunctionCalls } from "./function-calls"; import { FunctionCalls } from "./function-calls";
import { Message } from "./message"; import { Message } from "./message";
interface AssistantMessageProps { interface AssistantMessageProps {
content: string; content: string;
functionCalls?: FunctionCall[]; functionCalls?: FunctionCall[];
messageIndex?: number; messageIndex?: number;
expandedFunctionCalls: Set<string>; expandedFunctionCalls: Set<string>;
onToggle: (functionCallId: string) => void; onToggle: (functionCallId: string) => void;
isStreaming?: boolean; isStreaming?: boolean;
showForkButton?: boolean; showForkButton?: boolean;
onFork?: (e: React.MouseEvent) => void; onFork?: (e: React.MouseEvent) => void;
isCompleted?: boolean; isCompleted?: boolean;
isInactive?: boolean; isInactive?: boolean;
animate?: boolean; animate?: boolean;
delay?: number; delay?: number;
} }
export function AssistantMessage({ export function AssistantMessage({
content, content,
functionCalls = [], functionCalls = [],
messageIndex, messageIndex,
expandedFunctionCalls, expandedFunctionCalls,
onToggle, onToggle,
isStreaming = false, isStreaming = false,
showForkButton = false, showForkButton = false,
onFork, onFork,
isCompleted = false, isCompleted = false,
isInactive = false, isInactive = false,
animate = true, animate = true,
delay = 0.2, delay = 0.2,
}: AssistantMessageProps) { }: AssistantMessageProps) {
return ( return (
<motion.div <motion.div
initial={animate ? { opacity: 0, y: -20 } : { opacity: 1, y: 0 }} initial={animate ? { opacity: 0, y: -20 } : { opacity: 1, y: 0 }}
animate={{ opacity: 1, y: 0 }} animate={{ opacity: 1, y: 0 }}
transition={ transition={
animate animate
? { duration: 0.4, delay: delay, ease: "easeOut" } ? { duration: 0.4, delay: delay, ease: "easeOut" }
: { duration: 0 } : { duration: 0 }
} }
className={isCompleted ? "opacity-50" : ""} className={isCompleted ? "opacity-50" : ""}
> >
<Message <Message
icon={ icon={
<div className="w-8 h-8 flex items-center justify-center flex-shrink-0 select-none"> <div className="w-8 h-8 flex items-center justify-center flex-shrink-0 select-none">
<DogIcon <DogIcon
className="h-6 w-6 transition-colors duration-300" className="h-6 w-6 transition-colors duration-300"
disabled={isCompleted || isInactive} disabled={isCompleted || isInactive}
/> />
</div> </div>
} }
actions={ actions={
showForkButton && onFork ? ( showForkButton && onFork ? (
<button <button
type="button" type="button"
onClick={onFork} onClick={onFork}
className="opacity-0 group-hover:opacity-100 transition-opacity p-1 hover:bg-accent rounded text-muted-foreground hover:text-foreground" className="opacity-0 group-hover:opacity-100 transition-opacity p-1 hover:bg-accent rounded text-muted-foreground hover:text-foreground"
title="Fork conversation from here" title="Fork conversation from here"
> >
<GitBranch className="h-3 w-3" /> <GitBranch className="h-3 w-3" />
</button> </button>
) : undefined ) : undefined
} }
> >
<FunctionCalls <FunctionCalls
functionCalls={functionCalls} functionCalls={functionCalls}
messageIndex={messageIndex} messageIndex={messageIndex}
expandedFunctionCalls={expandedFunctionCalls} expandedFunctionCalls={expandedFunctionCalls}
onToggle={onToggle} onToggle={onToggle}
/> />
<div className="relative"> <div className="relative">
<MarkdownRenderer <MarkdownRenderer
className={cn( className={cn(
"text-sm py-1.5 transition-colors duration-300", "text-sm py-1.5 transition-colors duration-300",
isCompleted ? "text-placeholder-foreground" : "text-foreground", isCompleted ? "text-placeholder-foreground" : "text-foreground",
)} )}
chatMessage={ chatMessage={
isStreaming isStreaming
? content + ? (content.trim()
' <span class="inline-block w-1 h-4 bg-primary ml-1 animate-pulse"></span>' ? content +
: content ' <span class="inline-block w-1 h-4 bg-primary ml-1 animate-pulse"></span>'
} : '<span class="text-muted-foreground italic">Thinking<span class="thinking-dots"></span></span>')
/> : content
</div> }
</Message> />
</motion.div> </div>
); </Message>
</motion.div>
);
} }

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@ -1,8 +1,8 @@
import type { Dispatch, SetStateAction } from "react"; import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react"; import { useEffect, useState } from "react";
import IBMLogo from "@/components/icons/ibm-logo";
import { LabelInput } from "@/components/label-input"; import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper"; import { LabelWrapper } from "@/components/label-wrapper";
import IBMLogo from "@/components/icons/ibm-logo";
import { useDebouncedValue } from "@/lib/debounce"; import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation"; import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
import { useGetIBMModelsQuery } from "../../api/queries/useGetModelsQuery"; import { useGetIBMModelsQuery } from "../../api/queries/useGetModelsQuery";
@ -12,201 +12,199 @@ import { AdvancedOnboarding } from "./advanced";
import { ModelSelector } from "./model-selector"; import { ModelSelector } from "./model-selector";
export function IBMOnboarding({ export function IBMOnboarding({
isEmbedding = false, isEmbedding = false,
setSettings, setSettings,
sampleDataset, sampleDataset,
setSampleDataset, setSampleDataset,
setIsLoadingModels, setIsLoadingModels,
alreadyConfigured = false, alreadyConfigured = false,
}: { }: {
isEmbedding?: boolean; isEmbedding?: boolean;
setSettings: Dispatch<SetStateAction<OnboardingVariables>>; setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean; sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void; setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void; setIsLoadingModels?: (isLoading: boolean) => void;
alreadyConfigured?: boolean; alreadyConfigured?: boolean;
}) { }) {
const [endpoint, setEndpoint] = useState("https://us-south.ml.cloud.ibm.com"); const [endpoint, setEndpoint] = useState(alreadyConfigured ? "" : "https://us-south.ml.cloud.ibm.com");
const [apiKey, setApiKey] = useState(""); const [apiKey, setApiKey] = useState("");
const [projectId, setProjectId] = useState(""); const [projectId, setProjectId] = useState("");
const options = [ const options = [
{ {
value: "https://us-south.ml.cloud.ibm.com", value: "https://us-south.ml.cloud.ibm.com",
label: "https://us-south.ml.cloud.ibm.com", label: "https://us-south.ml.cloud.ibm.com",
default: true, default: true,
}, },
{ {
value: "https://eu-de.ml.cloud.ibm.com", value: "https://eu-de.ml.cloud.ibm.com",
label: "https://eu-de.ml.cloud.ibm.com", label: "https://eu-de.ml.cloud.ibm.com",
default: false, default: false,
}, },
{ {
value: "https://eu-gb.ml.cloud.ibm.com", value: "https://eu-gb.ml.cloud.ibm.com",
label: "https://eu-gb.ml.cloud.ibm.com", label: "https://eu-gb.ml.cloud.ibm.com",
default: false, default: false,
}, },
{ {
value: "https://au-syd.ml.cloud.ibm.com", value: "https://au-syd.ml.cloud.ibm.com",
label: "https://au-syd.ml.cloud.ibm.com", label: "https://au-syd.ml.cloud.ibm.com",
default: false, default: false,
}, },
{ {
value: "https://jp-tok.ml.cloud.ibm.com", value: "https://jp-tok.ml.cloud.ibm.com",
label: "https://jp-tok.ml.cloud.ibm.com", label: "https://jp-tok.ml.cloud.ibm.com",
default: false, default: false,
}, },
{ {
value: "https://ca-tor.ml.cloud.ibm.com", value: "https://ca-tor.ml.cloud.ibm.com",
label: "https://ca-tor.ml.cloud.ibm.com", label: "https://ca-tor.ml.cloud.ibm.com",
default: false, default: false,
}, },
]; ];
const debouncedEndpoint = useDebouncedValue(endpoint, 500); const debouncedEndpoint = useDebouncedValue(endpoint, 500);
const debouncedApiKey = useDebouncedValue(apiKey, 500); const debouncedApiKey = useDebouncedValue(apiKey, 500);
const debouncedProjectId = useDebouncedValue(projectId, 500); const debouncedProjectId = useDebouncedValue(projectId, 500);
// Fetch models from API when all credentials are provided // Fetch models from API when all credentials are provided
const { const {
data: modelsData, data: modelsData,
isLoading: isLoadingModels, isLoading: isLoadingModels,
error: modelsError, error: modelsError,
} = useGetIBMModelsQuery( } = useGetIBMModelsQuery(
{ {
endpoint: debouncedEndpoint, endpoint: debouncedEndpoint ? debouncedEndpoint : undefined,
apiKey: debouncedApiKey, apiKey: debouncedApiKey ? debouncedApiKey : undefined,
projectId: debouncedProjectId, projectId: debouncedProjectId ? debouncedProjectId : undefined,
}, },
{ { enabled: !!debouncedEndpoint || !!debouncedApiKey || !!debouncedProjectId || alreadyConfigured },
enabled: !!debouncedEndpoint && !!debouncedApiKey && !!debouncedProjectId, );
},
);
// Use custom hook for model selection logic // Use custom hook for model selection logic
const { const {
languageModel, languageModel,
embeddingModel, embeddingModel,
setLanguageModel, setLanguageModel,
setEmbeddingModel, setEmbeddingModel,
languageModels, languageModels,
embeddingModels, embeddingModels,
} = useModelSelection(modelsData, isEmbedding); } = useModelSelection(modelsData, isEmbedding);
const handleSampleDatasetChange = (dataset: boolean) => { const handleSampleDatasetChange = (dataset: boolean) => {
setSampleDataset(dataset); setSampleDataset(dataset);
}; };
useEffect(() => { useEffect(() => {
setIsLoadingModels?.(isLoadingModels); setIsLoadingModels?.(isLoadingModels);
}, [isLoadingModels, setIsLoadingModels]); }, [isLoadingModels, setIsLoadingModels]);
// Update settings when values change // Update settings when values change
useUpdateSettings( useUpdateSettings(
"watsonx", "watsonx",
{ {
endpoint, endpoint,
apiKey, apiKey,
projectId, projectId,
languageModel, languageModel,
embeddingModel, embeddingModel,
}, },
setSettings, setSettings,
isEmbedding, isEmbedding,
); );
return ( return (
<> <>
<div className="space-y-4"> <div className="space-y-4">
<LabelWrapper <LabelWrapper
label="watsonx.ai API Endpoint" label="watsonx.ai API Endpoint"
helperText="Base URL of the API" helperText="Base URL of the API"
id="api-endpoint" id="api-endpoint"
required required
> >
<div className="space-y-1"> <div className="space-y-1">
<ModelSelector <ModelSelector
options={alreadyConfigured ? [] : options} options={alreadyConfigured ? [] : options}
value={endpoint} value={endpoint}
custom custom
onValueChange={alreadyConfigured ? () => {} : setEndpoint} onValueChange={alreadyConfigured ? () => {} : setEndpoint}
searchPlaceholder="Search endpoint..." searchPlaceholder="Search endpoint..."
noOptionsPlaceholder={ noOptionsPlaceholder={
alreadyConfigured alreadyConfigured
? "https://•••••••••••••••••••••••••••••••••••••••••" ? "https://•••••••••••••••••••••••••••••••••••••••••"
: "No endpoints available" : "No endpoints available"
} }
placeholder="Select endpoint..." placeholder="Select endpoint..."
/> />
{alreadyConfigured && ( {alreadyConfigured && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Reusing endpoint from model provider selection. Reusing endpoint from model provider selection.
</p> </p>
)} )}
</div> </div>
</LabelWrapper> </LabelWrapper>
<div className="space-y-1"> <div className="space-y-1">
<LabelInput <LabelInput
label="watsonx Project ID" label="watsonx Project ID"
helperText="Project ID for the model" helperText="Project ID for the model"
id="project-id" id="project-id"
required required
placeholder={ placeholder={
alreadyConfigured ? "••••••••••••••••••••••••" : "your-project-id" alreadyConfigured ? "••••••••••••••••••••••••" : "your-project-id"
} }
value={projectId} value={projectId}
onChange={(e) => setProjectId(e.target.value)} onChange={(e) => setProjectId(e.target.value)}
disabled={alreadyConfigured} disabled={alreadyConfigured}
/> />
{alreadyConfigured && ( {alreadyConfigured && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Reusing project ID from model provider selection. Reusing project ID from model provider selection.
</p> </p>
)} )}
</div> </div>
<div className="space-y-1"> <div className="space-y-1">
<LabelInput <LabelInput
label="watsonx API key" label="watsonx API key"
helperText="API key to access watsonx.ai" helperText="API key to access watsonx.ai"
id="api-key" id="api-key"
type="password" type="password"
required required
placeholder={ placeholder={
alreadyConfigured alreadyConfigured
? "•••••••••••••••••••••••••••••••••••••••••" ? "•••••••••••••••••••••••••••••••••••••••••"
: "your-api-key" : "your-api-key"
} }
value={apiKey} value={apiKey}
onChange={(e) => setApiKey(e.target.value)} onChange={(e) => setApiKey(e.target.value)}
disabled={alreadyConfigured} disabled={alreadyConfigured}
/> />
{alreadyConfigured && ( {alreadyConfigured && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Reusing API key from model provider selection. Reusing API key from model provider selection.
</p> </p>
)} )}
</div> </div>
{isLoadingModels && ( {isLoadingModels && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Validating configuration... Validating configuration...
</p> </p>
)} )}
{modelsError && ( {modelsError && (
<p className="text-mmd text-accent-amber-foreground"> <p className="text-mmd text-accent-amber-foreground">
Connection failed. Check your configuration. Connection failed. Check your configuration.
</p> </p>
)} )}
</div> </div>
<AdvancedOnboarding <AdvancedOnboarding
icon={<IBMLogo className="w-4 h-4" />} icon={<IBMLogo className="w-4 h-4" />}
languageModels={languageModels} languageModels={languageModels}
embeddingModels={embeddingModels} embeddingModels={embeddingModels}
languageModel={languageModel} languageModel={languageModel}
embeddingModel={embeddingModel} embeddingModel={embeddingModel}
sampleDataset={sampleDataset} sampleDataset={sampleDataset}
setLanguageModel={setLanguageModel} setLanguageModel={setLanguageModel}
setEmbeddingModel={setEmbeddingModel} setEmbeddingModel={setEmbeddingModel}
setSampleDataset={handleSampleDatasetChange} setSampleDataset={handleSampleDatasetChange}
/> />
</> </>
); );
} }

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@ -1,8 +1,8 @@
import type { Dispatch, SetStateAction } from "react"; import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react"; import { useEffect, useState } from "react";
import OllamaLogo from "@/components/icons/ollama-logo";
import { LabelInput } from "@/components/label-input"; import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper"; import { LabelWrapper } from "@/components/label-wrapper";
import OllamaLogo from "@/components/icons/ollama-logo";
import { useDebouncedValue } from "@/lib/debounce"; import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation"; import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
import { useGetOllamaModelsQuery } from "../../api/queries/useGetModelsQuery"; import { useGetOllamaModelsQuery } from "../../api/queries/useGetModelsQuery";
@ -11,163 +11,164 @@ import { useUpdateSettings } from "../_hooks/useUpdateSettings";
import { ModelSelector } from "./model-selector"; import { ModelSelector } from "./model-selector";
export function OllamaOnboarding({ export function OllamaOnboarding({
setSettings, setSettings,
sampleDataset, sampleDataset,
setSampleDataset, setSampleDataset,
setIsLoadingModels, setIsLoadingModels,
isEmbedding = false, isEmbedding = false,
alreadyConfigured = false, alreadyConfigured = false,
}: { }: {
setSettings: Dispatch<SetStateAction<OnboardingVariables>>; setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean; sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void; setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void; setIsLoadingModels?: (isLoading: boolean) => void;
isEmbedding?: boolean; isEmbedding?: boolean;
alreadyConfigured?: boolean; alreadyConfigured?: boolean;
}) { }) {
const [endpoint, setEndpoint] = useState(`http://localhost:11434`); const [endpoint, setEndpoint] = useState(alreadyConfigured ? undefined : `http://localhost:11434`);
const [showConnecting, setShowConnecting] = useState(false); const [showConnecting, setShowConnecting] = useState(false);
const debouncedEndpoint = useDebouncedValue(endpoint, 500); const debouncedEndpoint = useDebouncedValue(endpoint, 500);
// Fetch models from API when endpoint is provided (debounced) // Fetch models from API when endpoint is provided (debounced)
const { const {
data: modelsData, data: modelsData,
isLoading: isLoadingModels, isLoading: isLoadingModels,
error: modelsError, error: modelsError,
} = useGetOllamaModelsQuery( } = useGetOllamaModelsQuery(
debouncedEndpoint ? { endpoint: debouncedEndpoint } : undefined, debouncedEndpoint ? { endpoint: debouncedEndpoint } : undefined,
); { enabled: !!debouncedEndpoint || alreadyConfigured },
);
// Use custom hook for model selection logic // Use custom hook for model selection logic
const { const {
languageModel, languageModel,
embeddingModel, embeddingModel,
setLanguageModel, setLanguageModel,
setEmbeddingModel, setEmbeddingModel,
languageModels, languageModels,
embeddingModels, embeddingModels,
} = useModelSelection(modelsData, isEmbedding); } = useModelSelection(modelsData, isEmbedding);
// Handle delayed display of connecting state // Handle delayed display of connecting state
useEffect(() => { useEffect(() => {
let timeoutId: NodeJS.Timeout; let timeoutId: NodeJS.Timeout;
if (debouncedEndpoint && isLoadingModels) { if (debouncedEndpoint && isLoadingModels) {
timeoutId = setTimeout(() => { timeoutId = setTimeout(() => {
setIsLoadingModels?.(true); setIsLoadingModels?.(true);
setShowConnecting(true); setShowConnecting(true);
}, 500); }, 500);
} else { } else {
setShowConnecting(false); setShowConnecting(false);
setIsLoadingModels?.(false); setIsLoadingModels?.(false);
} }
return () => { return () => {
if (timeoutId) { if (timeoutId) {
clearTimeout(timeoutId); clearTimeout(timeoutId);
} }
}; };
}, [debouncedEndpoint, isLoadingModels, setIsLoadingModels]); }, [debouncedEndpoint, isLoadingModels, setIsLoadingModels]);
// Update settings when values change // Update settings when values change
useUpdateSettings( useUpdateSettings(
"ollama", "ollama",
{ {
endpoint, endpoint,
languageModel, languageModel,
embeddingModel, embeddingModel,
}, },
setSettings, setSettings,
isEmbedding, isEmbedding,
); );
// Check validation state based on models query // Check validation state based on models query
const hasConnectionError = debouncedEndpoint && modelsError; const hasConnectionError = debouncedEndpoint && modelsError;
const hasNoModels = const hasNoModels =
modelsData && modelsData &&
!modelsData.language_models?.length && !modelsData.language_models?.length &&
!modelsData.embedding_models?.length; !modelsData.embedding_models?.length;
return ( return (
<div className="space-y-4"> <div className="space-y-4">
<div className="space-y-1"> <div className="space-y-1">
<LabelInput <LabelInput
label="Ollama Base URL" label="Ollama Base URL"
helperText="Base URL of your Ollama server" helperText="Base URL of your Ollama server"
id="api-endpoint" id="api-endpoint"
required required
placeholder={ placeholder={
alreadyConfigured alreadyConfigured
? "http://••••••••••••••••••••" ? "http://••••••••••••••••••••"
: "http://localhost:11434" : "http://localhost:11434"
} }
value={endpoint} value={endpoint}
onChange={(e) => setEndpoint(e.target.value)} onChange={(e) => setEndpoint(e.target.value)}
disabled={alreadyConfigured} disabled={alreadyConfigured}
/> />
{alreadyConfigured && ( {alreadyConfigured && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Reusing endpoint from model provider selection. Reusing endpoint from model provider selection.
</p> </p>
)} )}
{showConnecting && ( {showConnecting && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Connecting to Ollama server... Connecting to Ollama server...
</p> </p>
)} )}
{hasConnectionError && ( {hasConnectionError && (
<p className="text-mmd text-accent-amber-foreground"> <p className="text-mmd text-accent-amber-foreground">
Can't reach Ollama at {debouncedEndpoint}. Update the base URL or Can't reach Ollama at {debouncedEndpoint}. Update the base URL or
start the server. start the server.
</p> </p>
)} )}
{hasNoModels && ( {hasNoModels && (
<p className="text-mmd text-accent-amber-foreground"> <p className="text-mmd text-accent-amber-foreground">
No models found. Install embedding and agent models on your Ollama No models found. Install embedding and agent models on your Ollama
server. server.
</p> </p>
)} )}
</div> </div>
{isEmbedding && setEmbeddingModel && ( {isEmbedding && setEmbeddingModel && (
<LabelWrapper <LabelWrapper
label="Embedding model" label="Embedding model"
helperText="Model used for knowledge ingest and retrieval" helperText="Model used for knowledge ingest and retrieval"
id="embedding-model" id="embedding-model"
required={true} required={true}
> >
<ModelSelector <ModelSelector
options={embeddingModels} options={embeddingModels}
icon={<OllamaLogo className="w-4 h-4" />} icon={<OllamaLogo className="w-4 h-4" />}
noOptionsPlaceholder={ noOptionsPlaceholder={
isLoadingModels isLoadingModels
? "Loading models..." ? "Loading models..."
: "No embedding models detected. Install an embedding model to continue." : "No embedding models detected. Install an embedding model to continue."
} }
value={embeddingModel} value={embeddingModel}
onValueChange={setEmbeddingModel} onValueChange={setEmbeddingModel}
/> />
</LabelWrapper> </LabelWrapper>
)} )}
{!isEmbedding && setLanguageModel && ( {!isEmbedding && setLanguageModel && (
<LabelWrapper <LabelWrapper
label="Language model" label="Language model"
helperText="Model used for chat" helperText="Model used for chat"
id="embedding-model" id="embedding-model"
required={true} required={true}
> >
<ModelSelector <ModelSelector
options={languageModels} options={languageModels}
icon={<OllamaLogo className="w-4 h-4" />} icon={<OllamaLogo className="w-4 h-4" />}
noOptionsPlaceholder={ noOptionsPlaceholder={
isLoadingModels isLoadingModels
? "Loading models..." ? "Loading models..."
: "No language models detected. Install a language model to continue." : "No language models detected. Install a language model to continue."
} }
value={languageModel} value={languageModel}
onValueChange={setLanguageModel} onValueChange={setLanguageModel}
/> />
</LabelWrapper> </LabelWrapper>
)} )}
</div> </div>
); );
} }

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@ -1,13 +1,13 @@
import type { Dispatch, SetStateAction } from "react"; import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react"; import { useEffect, useState } from "react";
import OpenAILogo from "@/components/icons/openai-logo";
import { LabelInput } from "@/components/label-input"; import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper"; import { LabelWrapper } from "@/components/label-wrapper";
import OpenAILogo from "@/components/icons/openai-logo";
import { Switch } from "@/components/ui/switch"; import { Switch } from "@/components/ui/switch";
import { import {
Tooltip, Tooltip,
TooltipContent, TooltipContent,
TooltipTrigger, TooltipTrigger,
} from "@/components/ui/tooltip"; } from "@/components/ui/tooltip";
import { useDebouncedValue } from "@/lib/debounce"; import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation"; import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
@ -17,152 +17,152 @@ import { useUpdateSettings } from "../_hooks/useUpdateSettings";
import { AdvancedOnboarding } from "./advanced"; import { AdvancedOnboarding } from "./advanced";
export function OpenAIOnboarding({ export function OpenAIOnboarding({
setSettings, setSettings,
sampleDataset, sampleDataset,
setSampleDataset, setSampleDataset,
setIsLoadingModels, setIsLoadingModels,
isEmbedding = false, isEmbedding = false,
hasEnvApiKey = false, hasEnvApiKey = false,
alreadyConfigured = false, alreadyConfigured = false,
}: { }: {
setSettings: Dispatch<SetStateAction<OnboardingVariables>>; setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean; sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void; setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void; setIsLoadingModels?: (isLoading: boolean) => void;
isEmbedding?: boolean; isEmbedding?: boolean;
hasEnvApiKey?: boolean; hasEnvApiKey?: boolean;
alreadyConfigured?: boolean; alreadyConfigured?: boolean;
}) { }) {
const [apiKey, setApiKey] = useState(""); const [apiKey, setApiKey] = useState("");
const [getFromEnv, setGetFromEnv] = useState(hasEnvApiKey); const [getFromEnv, setGetFromEnv] = useState(hasEnvApiKey && !alreadyConfigured);
const debouncedApiKey = useDebouncedValue(apiKey, 500); const debouncedApiKey = useDebouncedValue(apiKey, 500);
// Fetch models from API when API key is provided // Fetch models from API when API key is provided
const { const {
data: modelsData, data: modelsData,
isLoading: isLoadingModels, isLoading: isLoadingModels,
error: modelsError, error: modelsError,
} = useGetOpenAIModelsQuery( } = useGetOpenAIModelsQuery(
getFromEnv getFromEnv
? { apiKey: "" } ? { apiKey: "" }
: debouncedApiKey : debouncedApiKey
? { apiKey: debouncedApiKey } ? { apiKey: debouncedApiKey }
: undefined, : undefined,
{ enabled: debouncedApiKey !== "" || getFromEnv }, { enabled: debouncedApiKey !== "" || getFromEnv || alreadyConfigured },
); );
// Use custom hook for model selection logic // Use custom hook for model selection logic
const { const {
languageModel, languageModel,
embeddingModel, embeddingModel,
setLanguageModel, setLanguageModel,
setEmbeddingModel, setEmbeddingModel,
languageModels, languageModels,
embeddingModels, embeddingModels,
} = useModelSelection(modelsData, isEmbedding); } = useModelSelection(modelsData, isEmbedding);
const handleSampleDatasetChange = (dataset: boolean) => { const handleSampleDatasetChange = (dataset: boolean) => {
setSampleDataset(dataset); setSampleDataset(dataset);
}; };
const handleGetFromEnvChange = (fromEnv: boolean) => { const handleGetFromEnvChange = (fromEnv: boolean) => {
setGetFromEnv(fromEnv); setGetFromEnv(fromEnv);
if (fromEnv) { if (fromEnv) {
setApiKey(""); setApiKey("");
} }
setEmbeddingModel?.(""); setEmbeddingModel?.("");
setLanguageModel?.(""); setLanguageModel?.("");
}; };
useEffect(() => { useEffect(() => {
setIsLoadingModels?.(isLoadingModels); setIsLoadingModels?.(isLoadingModels);
}, [isLoadingModels, setIsLoadingModels]); }, [isLoadingModels, setIsLoadingModels]);
// Update settings when values change // Update settings when values change
useUpdateSettings( useUpdateSettings(
"openai", "openai",
{ {
apiKey, apiKey,
languageModel, languageModel,
embeddingModel, embeddingModel,
}, },
setSettings, setSettings,
isEmbedding, isEmbedding,
); );
return ( return (
<> <>
<div className="space-y-5"> <div className="space-y-5">
{!alreadyConfigured && ( {!alreadyConfigured && (
<LabelWrapper <LabelWrapper
label="Use environment OpenAI API key" label="Use environment OpenAI API key"
id="get-api-key" id="get-api-key"
description="Reuse the key from your environment config. Turn off to enter a different key." description="Reuse the key from your environment config. Turn off to enter a different key."
flex flex
> >
<Tooltip> <Tooltip>
<TooltipTrigger asChild> <TooltipTrigger asChild>
<div> <div>
<Switch <Switch
checked={getFromEnv} checked={getFromEnv}
onCheckedChange={handleGetFromEnvChange} onCheckedChange={handleGetFromEnvChange}
disabled={!hasEnvApiKey} disabled={!hasEnvApiKey}
/> />
</div> </div>
</TooltipTrigger> </TooltipTrigger>
{!hasEnvApiKey && ( {!hasEnvApiKey && (
<TooltipContent> <TooltipContent>
OpenAI API key not detected in the environment. OpenAI API key not detected in the environment.
</TooltipContent> </TooltipContent>
)} )}
</Tooltip> </Tooltip>
</LabelWrapper> </LabelWrapper>
)} )}
{(!getFromEnv || alreadyConfigured) && ( {(!getFromEnv || alreadyConfigured) && (
<div className="space-y-1"> <div className="space-y-1">
<LabelInput <LabelInput
label="OpenAI API key" label="OpenAI API key"
helperText="The API key for your OpenAI account." helperText="The API key for your OpenAI account."
className={modelsError ? "!border-destructive" : ""} className={modelsError ? "!border-destructive" : ""}
id="api-key" id="api-key"
type="password" type="password"
required required
placeholder={ placeholder={
alreadyConfigured alreadyConfigured
? "sk-•••••••••••••••••••••••••••••••••••••••••" ? "sk-•••••••••••••••••••••••••••••••••••••••••"
: "sk-..." : "sk-..."
} }
value={apiKey} value={apiKey}
onChange={(e) => setApiKey(e.target.value)} onChange={(e) => setApiKey(e.target.value)}
disabled={alreadyConfigured} disabled={alreadyConfigured}
/> />
{alreadyConfigured && ( {alreadyConfigured && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Reusing key from model provider selection. Reusing key from model provider selection.
</p> </p>
)} )}
{isLoadingModels && ( {isLoadingModels && (
<p className="text-mmd text-muted-foreground"> <p className="text-mmd text-muted-foreground">
Validating API key... Validating API key...
</p> </p>
)} )}
{modelsError && ( {modelsError && (
<p className="text-mmd text-destructive"> <p className="text-mmd text-destructive">
Invalid OpenAI API key. Verify or replace the key. Invalid OpenAI API key. Verify or replace the key.
</p> </p>
)} )}
</div> </div>
)} )}
</div> </div>
<AdvancedOnboarding <AdvancedOnboarding
icon={<OpenAILogo className="w-4 h-4" />} icon={<OpenAILogo className="w-4 h-4" />}
languageModels={languageModels} languageModels={languageModels}
embeddingModels={embeddingModels} embeddingModels={embeddingModels}
languageModel={languageModel} languageModel={languageModel}
embeddingModel={embeddingModel} embeddingModel={embeddingModel}
sampleDataset={sampleDataset} sampleDataset={sampleDataset}
setLanguageModel={setLanguageModel} setLanguageModel={setLanguageModel}
setSampleDataset={handleSampleDatasetChange} setSampleDataset={handleSampleDatasetChange}
setEmbeddingModel={setEmbeddingModel} setEmbeddingModel={setEmbeddingModel}
/> />
</> </>
); );
} }

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@ -1,97 +0,0 @@
import { GitBranch } from "lucide-react";
import { motion } from "motion/react";
import DogIcon from "@/components/logo/dog-icon";
import { MarkdownRenderer } from "@/components/markdown-renderer";
import { cn } from "@/lib/utils";
import type { FunctionCall } from "../types";
import { FunctionCalls } from "./function-calls";
import { Message } from "./message";
interface AssistantMessageProps {
content: string;
functionCalls?: FunctionCall[];
messageIndex?: number;
expandedFunctionCalls: Set<string>;
onToggle: (functionCallId: string) => void;
isStreaming?: boolean;
showForkButton?: boolean;
onFork?: (e: React.MouseEvent) => void;
isCompleted?: boolean;
isInactive?: boolean;
animate?: boolean;
delay?: number;
}
export function AssistantMessage({
content,
functionCalls = [],
messageIndex,
expandedFunctionCalls,
onToggle,
isStreaming = false,
showForkButton = false,
onFork,
isCompleted = false,
isInactive = false,
animate = true,
delay = 0.2,
}: AssistantMessageProps) {
return (
<motion.div
initial={animate ? { opacity: 0, y: -20 } : { opacity: 1, y: 0 }}
animate={{ opacity: 1, y: 0 }}
transition={
animate
? { duration: 0.4, delay: delay, ease: "easeOut" }
: { duration: 0 }
}
className={isCompleted ? "opacity-50" : ""}
>
<Message
icon={
<div className="w-8 h-8 flex items-center justify-center flex-shrink-0 select-none">
<DogIcon
className="h-6 w-6 transition-colors duration-300"
disabled={isCompleted || isInactive}
/>
</div>
}
actions={
showForkButton && onFork ? (
<button
type="button"
onClick={onFork}
className="opacity-0 group-hover:opacity-100 transition-opacity p-1 hover:bg-accent rounded text-muted-foreground hover:text-foreground"
title="Fork conversation from here"
>
<GitBranch className="h-3 w-3" />
</button>
) : undefined
}
>
<FunctionCalls
functionCalls={functionCalls}
messageIndex={messageIndex}
expandedFunctionCalls={expandedFunctionCalls}
onToggle={onToggle}
/>
<div className="relative">
<MarkdownRenderer
className={cn(
"text-sm py-1.5 transition-colors duration-300",
isCompleted ? "text-placeholder-foreground" : "text-foreground",
)}
chatMessage={
isStreaming
? (content.trim()
? content +
' <span class="inline-block w-1 h-4 bg-primary ml-1 animate-pulse"></span>'
: '<span class="text-muted-foreground italic">Thinking<span class="thinking-dots"></span></span>')
: content
}
/>
</div>
</Message>
</motion.div>
);
}

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@ -1,210 +0,0 @@
import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react";
import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper";
import IBMLogo from "@/components/logo/ibm-logo";
import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
import { useGetIBMModelsQuery } from "../../api/queries/useGetModelsQuery";
import { useModelSelection } from "../hooks/useModelSelection";
import { useUpdateSettings } from "../hooks/useUpdateSettings";
import { AdvancedOnboarding } from "./advanced";
import { ModelSelector } from "./model-selector";
export function IBMOnboarding({
isEmbedding = false,
setSettings,
sampleDataset,
setSampleDataset,
setIsLoadingModels,
alreadyConfigured = false,
}: {
isEmbedding?: boolean;
setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void;
alreadyConfigured?: boolean;
}) {
const [endpoint, setEndpoint] = useState(alreadyConfigured ? "" : "https://us-south.ml.cloud.ibm.com");
const [apiKey, setApiKey] = useState("");
const [projectId, setProjectId] = useState("");
const options = [
{
value: "https://us-south.ml.cloud.ibm.com",
label: "https://us-south.ml.cloud.ibm.com",
default: true,
},
{
value: "https://eu-de.ml.cloud.ibm.com",
label: "https://eu-de.ml.cloud.ibm.com",
default: false,
},
{
value: "https://eu-gb.ml.cloud.ibm.com",
label: "https://eu-gb.ml.cloud.ibm.com",
default: false,
},
{
value: "https://au-syd.ml.cloud.ibm.com",
label: "https://au-syd.ml.cloud.ibm.com",
default: false,
},
{
value: "https://jp-tok.ml.cloud.ibm.com",
label: "https://jp-tok.ml.cloud.ibm.com",
default: false,
},
{
value: "https://ca-tor.ml.cloud.ibm.com",
label: "https://ca-tor.ml.cloud.ibm.com",
default: false,
},
];
const debouncedEndpoint = useDebouncedValue(endpoint, 500);
const debouncedApiKey = useDebouncedValue(apiKey, 500);
const debouncedProjectId = useDebouncedValue(projectId, 500);
// Fetch models from API when all credentials are provided
const {
data: modelsData,
isLoading: isLoadingModels,
error: modelsError,
} = useGetIBMModelsQuery(
{
endpoint: debouncedEndpoint ? debouncedEndpoint : undefined,
apiKey: debouncedApiKey ? debouncedApiKey : undefined,
projectId: debouncedProjectId ? debouncedProjectId : undefined,
},
{ enabled: !!debouncedEndpoint || !!debouncedApiKey || !!debouncedProjectId || alreadyConfigured },
);
// Use custom hook for model selection logic
const {
languageModel,
embeddingModel,
setLanguageModel,
setEmbeddingModel,
languageModels,
embeddingModels,
} = useModelSelection(modelsData, isEmbedding);
const handleSampleDatasetChange = (dataset: boolean) => {
setSampleDataset(dataset);
};
useEffect(() => {
setIsLoadingModels?.(isLoadingModels);
}, [isLoadingModels, setIsLoadingModels]);
// Update settings when values change
useUpdateSettings(
"watsonx",
{
endpoint,
apiKey,
projectId,
languageModel,
embeddingModel,
},
setSettings,
isEmbedding,
);
return (
<>
<div className="space-y-4">
<LabelWrapper
label="watsonx.ai API Endpoint"
helperText="Base URL of the API"
id="api-endpoint"
required
>
<div className="space-y-1">
<ModelSelector
options={alreadyConfigured ? [] : options}
value={endpoint}
custom
onValueChange={alreadyConfigured ? () => {} : setEndpoint}
searchPlaceholder="Search endpoint..."
noOptionsPlaceholder={
alreadyConfigured
? "https://•••••••••••••••••••••••••••••••••••••••••"
: "No endpoints available"
}
placeholder="Select endpoint..."
/>
{alreadyConfigured && (
<p className="text-mmd text-muted-foreground">
Reusing endpoint from model provider selection.
</p>
)}
</div>
</LabelWrapper>
<div className="space-y-1">
<LabelInput
label="watsonx Project ID"
helperText="Project ID for the model"
id="project-id"
required
placeholder={
alreadyConfigured ? "••••••••••••••••••••••••" : "your-project-id"
}
value={projectId}
onChange={(e) => setProjectId(e.target.value)}
disabled={alreadyConfigured}
/>
{alreadyConfigured && (
<p className="text-mmd text-muted-foreground">
Reusing project ID from model provider selection.
</p>
)}
</div>
<div className="space-y-1">
<LabelInput
label="watsonx API key"
helperText="API key to access watsonx.ai"
id="api-key"
type="password"
required
placeholder={
alreadyConfigured
? "•••••••••••••••••••••••••••••••••••••••••"
: "your-api-key"
}
value={apiKey}
onChange={(e) => setApiKey(e.target.value)}
disabled={alreadyConfigured}
/>
{alreadyConfigured && (
<p className="text-mmd text-muted-foreground">
Reusing API key from model provider selection.
</p>
)}
</div>
{isLoadingModels && (
<p className="text-mmd text-muted-foreground">
Validating configuration...
</p>
)}
{modelsError && (
<p className="text-mmd text-accent-amber-foreground">
Connection failed. Check your configuration.
</p>
)}
</div>
<AdvancedOnboarding
icon={<IBMLogo className="w-4 h-4" />}
languageModels={languageModels}
embeddingModels={embeddingModels}
languageModel={languageModel}
embeddingModel={embeddingModel}
sampleDataset={sampleDataset}
setLanguageModel={setLanguageModel}
setEmbeddingModel={setEmbeddingModel}
setSampleDataset={handleSampleDatasetChange}
/>
</>
);
}

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@ -1,174 +0,0 @@
import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react";
import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper";
import OllamaLogo from "@/components/logo/ollama-logo";
import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
import { useGetOllamaModelsQuery } from "../../api/queries/useGetModelsQuery";
import { useModelSelection } from "../hooks/useModelSelection";
import { useUpdateSettings } from "../hooks/useUpdateSettings";
import { ModelSelector } from "./model-selector";
export function OllamaOnboarding({
setSettings,
sampleDataset,
setSampleDataset,
setIsLoadingModels,
isEmbedding = false,
alreadyConfigured = false,
}: {
setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void;
isEmbedding?: boolean;
alreadyConfigured?: boolean;
}) {
const [endpoint, setEndpoint] = useState(alreadyConfigured ? undefined : `http://localhost:11434`);
const [showConnecting, setShowConnecting] = useState(false);
const debouncedEndpoint = useDebouncedValue(endpoint, 500);
// Fetch models from API when endpoint is provided (debounced)
const {
data: modelsData,
isLoading: isLoadingModels,
error: modelsError,
} = useGetOllamaModelsQuery(
debouncedEndpoint ? { endpoint: debouncedEndpoint } : undefined,
{ enabled: !!debouncedEndpoint || alreadyConfigured },
);
// Use custom hook for model selection logic
const {
languageModel,
embeddingModel,
setLanguageModel,
setEmbeddingModel,
languageModels,
embeddingModels,
} = useModelSelection(modelsData, isEmbedding);
// Handle delayed display of connecting state
useEffect(() => {
let timeoutId: NodeJS.Timeout;
if (debouncedEndpoint && isLoadingModels) {
timeoutId = setTimeout(() => {
setIsLoadingModels?.(true);
setShowConnecting(true);
}, 500);
} else {
setShowConnecting(false);
setIsLoadingModels?.(false);
}
return () => {
if (timeoutId) {
clearTimeout(timeoutId);
}
};
}, [debouncedEndpoint, isLoadingModels, setIsLoadingModels]);
// Update settings when values change
useUpdateSettings(
"ollama",
{
endpoint,
languageModel,
embeddingModel,
},
setSettings,
isEmbedding,
);
// Check validation state based on models query
const hasConnectionError = debouncedEndpoint && modelsError;
const hasNoModels =
modelsData &&
!modelsData.language_models?.length &&
!modelsData.embedding_models?.length;
return (
<div className="space-y-4">
<div className="space-y-1">
<LabelInput
label="Ollama Base URL"
helperText="Base URL of your Ollama server"
id="api-endpoint"
required
placeholder={
alreadyConfigured
? "http://••••••••••••••••••••"
: "http://localhost:11434"
}
value={endpoint}
onChange={(e) => setEndpoint(e.target.value)}
disabled={alreadyConfigured}
/>
{alreadyConfigured && (
<p className="text-mmd text-muted-foreground">
Reusing endpoint from model provider selection.
</p>
)}
{showConnecting && (
<p className="text-mmd text-muted-foreground">
Connecting to Ollama server...
</p>
)}
{hasConnectionError && (
<p className="text-mmd text-accent-amber-foreground">
Can't reach Ollama at {debouncedEndpoint}. Update the base URL or
start the server.
</p>
)}
{hasNoModels && (
<p className="text-mmd text-accent-amber-foreground">
No models found. Install embedding and agent models on your Ollama
server.
</p>
)}
</div>
{isEmbedding && setEmbeddingModel && (
<LabelWrapper
label="Embedding model"
helperText="Model used for knowledge ingest and retrieval"
id="embedding-model"
required={true}
>
<ModelSelector
options={embeddingModels}
icon={<OllamaLogo className="w-4 h-4" />}
noOptionsPlaceholder={
isLoadingModels
? "Loading models..."
: "No embedding models detected. Install an embedding model to continue."
}
value={embeddingModel}
onValueChange={setEmbeddingModel}
/>
</LabelWrapper>
)}
{!isEmbedding && setLanguageModel && (
<LabelWrapper
label="Language model"
helperText="Model used for chat"
id="embedding-model"
required={true}
>
<ModelSelector
options={languageModels}
icon={<OllamaLogo className="w-4 h-4" />}
noOptionsPlaceholder={
isLoadingModels
? "Loading models..."
: "No language models detected. Install a language model to continue."
}
value={languageModel}
onValueChange={setLanguageModel}
/>
</LabelWrapper>
)}
</div>
);
}

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@ -1,168 +0,0 @@
import type { Dispatch, SetStateAction } from "react";
import { useEffect, useState } from "react";
import { LabelInput } from "@/components/label-input";
import { LabelWrapper } from "@/components/label-wrapper";
import OpenAILogo from "@/components/logo/openai-logo";
import { Switch } from "@/components/ui/switch";
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from "@/components/ui/tooltip";
import { useDebouncedValue } from "@/lib/debounce";
import type { OnboardingVariables } from "../../api/mutations/useOnboardingMutation";
import { useGetOpenAIModelsQuery } from "../../api/queries/useGetModelsQuery";
import { useModelSelection } from "../hooks/useModelSelection";
import { useUpdateSettings } from "../hooks/useUpdateSettings";
import { AdvancedOnboarding } from "./advanced";
export function OpenAIOnboarding({
setSettings,
sampleDataset,
setSampleDataset,
setIsLoadingModels,
isEmbedding = false,
hasEnvApiKey = false,
alreadyConfigured = false,
}: {
setSettings: Dispatch<SetStateAction<OnboardingVariables>>;
sampleDataset: boolean;
setSampleDataset: (dataset: boolean) => void;
setIsLoadingModels?: (isLoading: boolean) => void;
isEmbedding?: boolean;
hasEnvApiKey?: boolean;
alreadyConfigured?: boolean;
}) {
const [apiKey, setApiKey] = useState("");
const [getFromEnv, setGetFromEnv] = useState(hasEnvApiKey && !alreadyConfigured);
const debouncedApiKey = useDebouncedValue(apiKey, 500);
// Fetch models from API when API key is provided
const {
data: modelsData,
isLoading: isLoadingModels,
error: modelsError,
} = useGetOpenAIModelsQuery(
getFromEnv
? { apiKey: "" }
: debouncedApiKey
? { apiKey: debouncedApiKey }
: undefined,
{ enabled: debouncedApiKey !== "" || getFromEnv || alreadyConfigured },
);
// Use custom hook for model selection logic
const {
languageModel,
embeddingModel,
setLanguageModel,
setEmbeddingModel,
languageModels,
embeddingModels,
} = useModelSelection(modelsData, isEmbedding);
const handleSampleDatasetChange = (dataset: boolean) => {
setSampleDataset(dataset);
};
const handleGetFromEnvChange = (fromEnv: boolean) => {
setGetFromEnv(fromEnv);
if (fromEnv) {
setApiKey("");
}
setEmbeddingModel?.("");
setLanguageModel?.("");
};
useEffect(() => {
setIsLoadingModels?.(isLoadingModels);
}, [isLoadingModels, setIsLoadingModels]);
// Update settings when values change
useUpdateSettings(
"openai",
{
apiKey,
languageModel,
embeddingModel,
},
setSettings,
isEmbedding,
);
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)}
disabled={alreadyConfigured}
/>
{alreadyConfigured && (
<p className="text-mmd text-muted-foreground">
Reusing key from model provider selection.
</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}
/>
</>
);
}