feat(nextjs): adds claude support in home and settings page

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sauravniraula 2025-07-30 23:30:39 +05:45
parent 4eff9f4bdf
commit ac5d278a9b
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10 changed files with 295 additions and 15 deletions

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@ -36,6 +36,8 @@ export async function POST(request: Request) {
LLM: userConfig.LLM || existingConfig.LLM,
OPENAI_API_KEY: userConfig.OPENAI_API_KEY || existingConfig.OPENAI_API_KEY,
GOOGLE_API_KEY: userConfig.GOOGLE_API_KEY || existingConfig.GOOGLE_API_KEY,
ANTHROPIC_API_KEY: userConfig.ANTHROPIC_API_KEY || existingConfig.ANTHROPIC_API_KEY,
ANTHROPIC_MODEL: userConfig.ANTHROPIC_MODEL || existingConfig.ANTHROPIC_MODEL,
OLLAMA_URL: userConfig.OLLAMA_URL || existingConfig.OLLAMA_URL,
OLLAMA_MODEL: userConfig.OLLAMA_MODEL || existingConfig.OLLAMA_MODEL,
CUSTOM_LLM_URL: userConfig.CUSTOM_LLM_URL || existingConfig.CUSTOM_LLM_URL,
@ -50,6 +52,10 @@ export async function POST(request: Request) {
userConfig.USE_CUSTOM_URL === undefined
? existingConfig.USE_CUSTOM_URL
: userConfig.USE_CUSTOM_URL,
EXTENDED_REASONING:
userConfig.EXTENDED_REASONING === undefined
? existingConfig.EXTENDED_REASONING
: userConfig.EXTENDED_REASONING,
};
fs.writeFileSync(userConfigPath, JSON.stringify(mergedConfig));
return NextResponse.json(mergedConfig);

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@ -0,0 +1,230 @@
"use client";
import { useEffect, useState } from "react";
import { Check, ChevronsUpDown, Loader2 } from "lucide-react";
import { Button } from "./ui/button";
import {
Command,
CommandEmpty,
CommandGroup,
CommandInput,
CommandItem,
CommandList,
} from "./ui/command";
import { Popover, PopoverContent, PopoverTrigger } from "./ui/popover";
import { cn } from "@/lib/utils";
import { toast } from "sonner";
import { Switch } from "./ui/switch";
interface AnthropicConfigProps {
anthropicApiKey: string;
anthropicModel: string;
extendedReasoning: boolean;
onInputChange: (value: string | boolean, field: string) => void;
}
export default function AnthropicConfig({
anthropicApiKey,
anthropicModel,
extendedReasoning,
onInputChange,
}: AnthropicConfigProps) {
const [openModelSelect, setOpenModelSelect] = useState(false);
const [availableModels, setAvailableModels] = useState<string[]>([]);
const [modelsLoading, setModelsLoading] = useState(false);
const [modelsChecked, setModelsChecked] = useState(false);
const [apiKey, setApiKey] = useState(anthropicApiKey);
useEffect(() => {
setAvailableModels([]);
setModelsChecked(false);
onInputChange("", "anthropic_model");
}, [apiKey]);
const onApiKeyChange = (value: string) => {
setApiKey(value);
onInputChange(value, "anthropic_api_key");
};
const fetchAvailableModels = async () => {
if (!anthropicApiKey) return;
setModelsLoading(true);
try {
const response = await fetch('/api/v1/ppt/anthropic/models/available', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
api_key: anthropicApiKey
}),
});
if (response.ok) {
const data = await response.json();
setAvailableModels(data);
setModelsChecked(true);
} else {
console.error('Failed to fetch models');
setAvailableModels([]);
setModelsChecked(true);
}
} catch (error) {
console.error('Error fetching models:', error);
toast.error('Error fetching models');
setAvailableModels([]);
setModelsChecked(true);
} finally {
setModelsLoading(false);
}
};
return (
<div className="space-y-6">
{/* API Key Input */}
<div className="mb-4">
<label className="block text-sm font-medium text-gray-700 mb-2">
Anthropic API Key
</label>
<div className="relative">
<input
type="text"
value={anthropicApiKey}
onChange={(e) => onApiKeyChange(e.target.value)}
className="w-full px-4 py-2.5 outline-none border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500 transition-colors"
placeholder="Enter your Anthropic API key"
/>
</div>
<p className="mt-2 text-sm text-gray-500 flex items-center gap-2">
<span className="block w-1 h-1 rounded-full bg-gray-400"></span>
Your API key will be stored locally and never shared
</p>
</div>
{/* Extended Reasoning Toggle */}
{/* <div>
<div className="flex items-center justify-between mb-4 bg-green-50 p-2 rounded-sm">
<label className="text-sm font-medium text-gray-700">
Extended Reasoning
</label>
<Switch
checked={extendedReasoning}
onCheckedChange={(checked) => onInputChange(checked, "extended_reasoning")}
/>
</div>
<p className="mt-2 text-sm text-gray-500 flex items-center gap-2">
<span className="block w-1 h-1 rounded-full bg-gray-400"></span>
Enable extended reasoning for more detailed and thorough responses
</p>
</div> */}
{/* Check for available models button - show when no models checked or no models found */}
{(!modelsChecked || (modelsChecked && availableModels.length === 0)) && (
<div className="mb-4">
<button
onClick={fetchAvailableModels}
disabled={modelsLoading || !anthropicApiKey}
className={`w-full py-2.5 px-4 rounded-lg transition-all duration-200 border-2 ${modelsLoading || !anthropicApiKey
? "bg-gray-100 border-gray-300 cursor-not-allowed text-gray-500"
: "bg-white border-blue-600 text-blue-600 hover:bg-blue-50 focus:ring-2 focus:ring-blue-500/20"
}`}
>
{modelsLoading ? (
<div className="flex items-center justify-center gap-2">
<Loader2 className="w-4 h-4 animate-spin" />
Checking for models...
</div>
) : (
"Check for available models"
)}
</button>
</div>
)}
{/* Show message if no models found */}
{modelsChecked && availableModels.length === 0 && (
<div className="mb-4 p-3 bg-yellow-50 border border-yellow-200 rounded-lg">
<p className="text-sm text-yellow-800">
No models found. Please make sure your API key is valid and has access to Anthropic models.
</p>
</div>
)}
{/* Model Selection - only show if models are available */}
{modelsChecked && availableModels.length > 0 ? (
<div>
<label className="block text-sm font-medium text-gray-700 mb-3">
Select Anthropic Model
</label>
<div className="w-full">
<Popover
open={openModelSelect}
onOpenChange={setOpenModelSelect}
>
<PopoverTrigger asChild>
<Button
variant="outline"
role="combobox"
aria-expanded={openModelSelect}
className="w-full h-12 px-4 py-4 outline-none border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500 transition-colors hover:border-gray-400 justify-between"
>
<div className="flex gap-3 items-center">
<span className="text-sm font-medium text-gray-900">
{anthropicModel
? availableModels.find(model => model === anthropicModel) || anthropicModel
: "Select a model"}
</span>
</div>
<ChevronsUpDown className="w-4 h-4 text-gray-500" />
</Button>
</PopoverTrigger>
<PopoverContent
className="p-0"
align="start"
style={{ width: "var(--radix-popover-trigger-width)" }}
>
<Command>
<CommandInput placeholder="Search models..." />
<CommandList>
<CommandEmpty>No model found.</CommandEmpty>
<CommandGroup>
{availableModels.map((model, index) => (
<CommandItem
key={index}
value={model}
onSelect={(value) => {
onInputChange(value, "anthropic_model");
setOpenModelSelect(false);
}}
>
<Check
className={cn(
"mr-2 h-4 w-4",
anthropicModel === model
? "opacity-100"
: "opacity-0"
)}
/>
<div className="flex gap-3 items-center">
<div className="flex flex-col space-y-1 flex-1">
<div className="flex items-center justify-between gap-2">
<span className="text-sm font-medium text-gray-900">
{model}
</span>
</div>
</div>
</div>
</CommandItem>
))}
</CommandGroup>
</CommandList>
</Command>
</PopoverContent>
</Popover>
</div>
</div>
) : null}
</div>
);
}

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@ -5,7 +5,7 @@ interface GoogleConfigProps {
export default function GoogleConfig({ googleApiKey, onInputChange }: GoogleConfigProps) {
return (
<div className="mb-8">
<div>
<label className="block text-sm font-medium text-gray-700 mb-2">
Google API Key
</label>

View file

@ -15,6 +15,7 @@ import { Popover, PopoverContent, PopoverTrigger } from "./ui/popover";
import { cn } from "@/lib/utils";
import OpenAIConfig from "./OpenAIConfig";
import GoogleConfig from "./GoogleConfig";
import AnthropicConfig from "./AnthropicConfig";
import OllamaConfig from "./OllamaConfig";
import CustomConfig from "./CustomConfig";
import {
@ -69,11 +70,13 @@ export default function LLMProviderSelection({
useEffect(() => {
const needsModelSelection =
(llmConfig.LLM === "ollama" && !llmConfig.OLLAMA_MODEL) ||
(llmConfig.LLM === "custom" && !llmConfig.CUSTOM_MODEL);
(llmConfig.LLM === "custom" && !llmConfig.CUSTOM_MODEL) ||
(llmConfig.LLM === "anthropic" && !llmConfig.ANTHROPIC_MODEL);
const needsApiKey =
((llmConfig.IMAGE_PROVIDER === "dall-e-3" || llmConfig.LLM === "openai") && !llmConfig.OPENAI_API_KEY) ||
((llmConfig.IMAGE_PROVIDER === "gemini_flash" || llmConfig.LLM === "google") && !llmConfig.GOOGLE_API_KEY) ||
(llmConfig.LLM === "anthropic" && !llmConfig.ANTHROPIC_API_KEY) ||
(llmConfig.IMAGE_PROVIDER === "pexels" && !llmConfig.PEXELS_API_KEY) ||
(llmConfig.IMAGE_PROVIDER === "pixabay" && !llmConfig.PIXABAY_API_KEY);
@ -86,7 +89,7 @@ export default function LLMProviderSelection({
}, [llmConfig]);
const input_field_changed = (new_value: string, field: string) => {
const input_field_changed = (new_value: string | boolean, field: string) => {
const updatedConfig = updateLLMConfig(llmConfig, field, new_value);
setLlmConfig(updatedConfig);
};
@ -177,9 +180,10 @@ export default function LLMProviderSelection({
onValueChange={handleProviderChange}
className="w-full"
>
<TabsList className="grid w-full grid-cols-4 bg-transparent h-10">
<TabsList className="grid w-full grid-cols-5 bg-transparent h-10">
<TabsTrigger value="openai">OpenAI</TabsTrigger>
<TabsTrigger value="google">Google</TabsTrigger>
<TabsTrigger value="anthropic">Anthropic</TabsTrigger>
<TabsTrigger value="ollama">Ollama</TabsTrigger>
<TabsTrigger value="custom">Custom</TabsTrigger>
</TabsList>
@ -210,6 +214,16 @@ export default function LLMProviderSelection({
/>
</TabsContent>
{/* Anthropic Content */}
<TabsContent value="anthropic" className="mt-6">
<AnthropicConfig
anthropicApiKey={llmConfig.ANTHROPIC_API_KEY || ""}
anthropicModel={llmConfig.ANTHROPIC_MODEL || ""}
extendedReasoning={llmConfig.EXTENDED_REASONING || false}
onInputChange={input_field_changed}
/>
</TabsContent>
{/* Ollama Content */}
<TabsContent value="ollama" className="mt-6">
<OllamaConfig
@ -246,7 +260,7 @@ export default function LLMProviderSelection({
</Tabs>
{/* Image Provider Selection */}
<div className="mb-8">
<div className="my-8">
<label className="block text-sm font-medium text-gray-700 mb-3">
Select Image Provider
</label>
@ -388,7 +402,9 @@ export default function LLMProviderSelection({
? llmConfig.OLLAMA_MODEL ?? "xxxxx"
: llmConfig.LLM === "custom"
? llmConfig.CUSTOM_MODEL ?? "xxxxx"
: LLM_PROVIDERS[llmConfig.LLM!]?.model_label || "xxxxx"}{" "}
: llmConfig.LLM === "anthropic"
? llmConfig.ANTHROPIC_MODEL ?? "xxxxx"
: LLM_PROVIDERS[llmConfig.LLM!]?.model_label || "xxxxx"}{" "}
for text generation and{" "}
{llmConfig.IMAGE_PROVIDER &&
IMAGE_PROVIDERS[llmConfig.IMAGE_PROVIDER]

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@ -49,7 +49,7 @@ export default function OllamaConfig({
}: OllamaConfigProps) {
return (
<>
<div className="mb-8">
<div className="mb-4">
<label className="block text-sm font-medium text-gray-700 mb-3">
Choose a supported model
</label>
@ -185,7 +185,7 @@ export default function OllamaConfig({
</p>
)}
</div>
<div className="mb-8">
<div>
<div className="flex items-center justify-between mb-4 bg-green-50 p-2 rounded-sm">
<label className="text-sm font-medium text-gray-700">
Use custom Ollama URL

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@ -5,7 +5,7 @@ interface OpenAIConfigProps {
export default function OpenAIConfig({ openaiApiKey, onInputChange }: OpenAIConfigProps) {
return (
<div className="mb-8">
<div>
<label className="block text-sm font-medium text-gray-700 mb-2">
OpenAI API Key
</label>

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@ -17,15 +17,22 @@ interface LLMConfig {
LLM?: string;
OPENAI_API_KEY?: string;
GOOGLE_API_KEY?: string;
ANTHROPIC_API_KEY?: string;
ANTHROPIC_MODEL?: string;
OLLAMA_URL?: string;
OLLAMA_MODEL?: string;
CUSTOM_LLM_URL?: string;
CUSTOM_LLM_API_KEY?: string;
CUSTOM_MODEL?: string;
// Image providers
IMAGE_PROVIDER?: string;
PIXABAY_API_KEY?: string;
PEXELS_API_KEY?: string;
// Extended reasoning
EXTENDED_REASONING?: boolean;
// Only used in UI settings
USE_CUSTOM_URL?: boolean;
}

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@ -78,6 +78,11 @@ export const LLM_PROVIDERS: Record<string, LLMProviderOption> = {
model_value: "gemini-2.0-flash",
model_label: "Gemini 2.0 Flash"
},
anthropic: {
value: "anthropic",
label: "Anthropic",
description: "Anthropic's Claude models",
},
ollama: {
value: "ollama",
label: "Ollama",

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@ -20,6 +20,8 @@ export interface LLMConfig {
LLM?: string;
OPENAI_API_KEY?: string;
GOOGLE_API_KEY?: string;
ANTHROPIC_API_KEY?: string;
ANTHROPIC_MODEL?: string;
OLLAMA_URL?: string;
OLLAMA_MODEL?: string;
CUSTOM_LLM_URL?: string;
@ -28,6 +30,7 @@ export interface LLMConfig {
PEXELS_API_KEY?: string;
PIXABAY_API_KEY?: string;
IMAGE_PROVIDER?: string;
EXTENDED_REASONING?: boolean;
USE_CUSTOM_URL?: boolean;
}
@ -42,11 +45,13 @@ export interface OllamaModelsResult {
export const updateLLMConfig = (
currentConfig: LLMConfig,
field: string,
value: string
value: string | boolean
): LLMConfig => {
const fieldMappings: Record<string, keyof LLMConfig> = {
openai_api_key: "OPENAI_API_KEY",
google_api_key: "GOOGLE_API_KEY",
anthropic_api_key: "ANTHROPIC_API_KEY",
anthropic_model: "ANTHROPIC_MODEL",
ollama_url: "OLLAMA_URL",
ollama_model: "OLLAMA_MODEL",
custom_llm_url: "CUSTOM_LLM_URL",
@ -55,6 +60,7 @@ export const updateLLMConfig = (
pexels_api_key: "PEXELS_API_KEY",
pixabay_api_key: "PIXABAY_API_KEY",
image_provider: "IMAGE_PROVIDER",
extended_reasoning: "EXTENDED_REASONING",
};
const configKey = fieldMappings[field];

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@ -19,6 +19,14 @@ export const hasValidLLMConfig = (llmConfig: LLMConfig) => {
const OPENAI_API_KEY = llmConfig.OPENAI_API_KEY;
const GOOGLE_API_KEY = llmConfig.GOOGLE_API_KEY;
const isAnthropicConfigValid =
llmConfig.ANTHROPIC_MODEL !== "" &&
llmConfig.ANTHROPIC_MODEL !== null &&
llmConfig.ANTHROPIC_MODEL !== undefined &&
llmConfig.ANTHROPIC_API_KEY !== "" &&
llmConfig.ANTHROPIC_API_KEY !== null &&
llmConfig.ANTHROPIC_API_KEY !== undefined;
const isOllamaConfigValid =
llmConfig.OLLAMA_MODEL !== "" &&
llmConfig.OLLAMA_MODEL !== null &&
@ -59,11 +67,13 @@ export const hasValidLLMConfig = (llmConfig: LLMConfig) => {
? GOOGLE_API_KEY !== "" &&
GOOGLE_API_KEY !== null &&
GOOGLE_API_KEY !== undefined
: llmConfig.LLM === "ollama"
? isOllamaConfigValid
: llmConfig.LLM === "custom"
? isCustomConfigValid
: false;
: llmConfig.LLM === "anthropic"
? isAnthropicConfigValid
: llmConfig.LLM === "ollama"
? isOllamaConfigValid
: llmConfig.LLM === "custom"
? isCustomConfigValid
: false;
return isLLMConfigValid && isImageConfigValid();
};