feat: use open ai endpoints

src/lib/components/Ai/ChangeModelBox.svelte

@@ -14,7 +14,7 @@
 	<ul role="listbox">
 		{#each models as m (m.name + m.brand)}
 			{@const isSelected =
-				m.brand === model.brand && m.name === model.name && m.endpoint === model.endpoint}
+				m.brand === model.brand && m.name === model.name && m.baseURL === model.baseURL}
 			<li role="option" aria-selected={isSelected}>
 				<button
 					title={[m.brand, m.name].filter(Boolean).join(' • ')}

src/lib/components/Ai/Chat.svelte

@@ -11,7 +11,8 @@
 	import ChangeModelBox from './ChangeModelBox.svelte';
 	import DatasetsBox from './DatasetsBox.svelte';
 	import Loader from './Loader.svelte';
-	import type { ChatInput, ChatOutput, Model } from './types';
+	import { OpenAIClient } from './OpenAI';
+	import type { ChatInput, Model } from './types';
 
 	interface Props {
 		messages?: ChatInput['messages'];
@@ -43,6 +44,7 @@
 	let abortController: AbortController | undefined;
 	let chatMessages = $derived(messages.filter((m) => m.role === 'user' || m.role === 'assistant'));
 	let modelSelectbox = $state<ReturnType<typeof Select>>();
+	const uid = $props.id();
 
 	function getContextFromTable(table: Table): string {
 		const columns = table.columns.map((col) => `- ${col.name} (${col.type})`).join('\n');
@@ -53,6 +55,8 @@
 		dataset ??= datasets?.at(0);
 	});
 
+	const client = $derived(new OpenAIClient(selectedModel.baseURL));
+
 	async function handleSubmit(
 		event: SubmitEvent & { currentTarget: EventTarget & HTMLFormElement }
 	) {
@@ -70,26 +74,18 @@
 
 		try {
 			abortController = new AbortController();
-			const response = await fetch(event.currentTarget.action, {
-				method: event.currentTarget.method,
-				headers: { 'Content-type': 'application/json' },
-				body: JSON.stringify({
+			const completion = await client.createChatCompletion(
+				{
 					model: selectedModel.name,
 					messages: dataset
-						? [{ role: 'user', content: getContextFromTable(dataset) }, ...messages]
+						? [{ role: 'system', content: getContextFromTable(dataset) }, ...messages]
 						: messages,
 					stream: false
-				}),
-				signal: abortController.signal
-			});
+				},
+				{ signal: abortController.signal }
+			);
 
-			if (!response.ok) {
-				console.error(await response.text());
-				return;
-			}
-
-			const output: ChatOutput = await response.json();
-			messages = messages.concat(output.message);
+			messages = messages.concat(completion.choices[0].message);
 		} catch (e) {
 			if (e === 'Canceled by user') {
 				const last = messages.at(-1);
@@ -167,12 +163,7 @@
 			<article>
 				<h2>You</h2>
 				{#if chatMessages.length === 0 && dataset}{@render context(dataset)}{/if}
-				<form
-					id="user-message"
-					action={selectedModel.endpoint}
-					method="POST"
-					onsubmit={handleSubmit}
-				>
+				<form id="{uid}-user-message" method="POST" onsubmit={handleSubmit}>
 					<textarea
 						name="message"
 						tabindex="0"
@@ -231,9 +222,10 @@
 			<ChangeModelBox
 				{models}
 				bind:model={selectedModel}
-				onSelect={() => {
+				onSelect={(m) => {
 					modelSelectbox?.close();
 					abortController?.abort('Model changed');
+					onModelChange(m);
 				}}
 			/>
 		</Select>
@@ -247,7 +239,7 @@
 				<Stop size="11" />
 			</button>
 		{:else}
-			<button form="user-message" type="submit" bind:this={submitter} title="Send ⌘⏎">
+			<button form="{uid}-user-message" type="submit" bind:this={submitter} title="Send ⌘⏎">
 				Send ⌘⏎
 			</button>
 		{/if}
@@ -320,6 +312,7 @@
 		border: none;
 		padding: 0;
 		width: 100%;
+		min-height: 15px;
 		display: block;
 		overflow: visible;
 	}

src/lib/components/Ai/OpenAI.ts

@@ -0,0 +1,94 @@
+interface ModelsResponse {
+	object: 'list';
+	data: AIModel[];
+}
+
+interface AIModel {
+	object: 'model';
+	id: string;
+	created: number;
+	owned_by: string;
+}
+
+interface ChatCompletionInput {
+	model: string;
+	messages: ChatMessage[];
+	stream?: boolean | undefined;
+	frequency_penalty?: number | undefined;
+	max_completion_tokens?: number | undefined;
+	presence_penalty?: number | undefined;
+	temperature?: number | undefined;
+	top_p?: number | undefined;
+}
+
+interface ChatMessage {
+	role: 'user' | 'assistant' | 'system';
+	content: string;
+}
+
+interface ChatCompletionOutput {
+	object: 'chat.completion';
+	model: string;
+	id: string;
+	created: number;
+	system_fingerprint: string;
+	choices: ChatCompletionChoice[];
+	usage: {
+		prompt_tokens: number;
+		completion_tokens: number;
+		total_tokens: number;
+	};
+}
+
+interface ChatCompletionChoice {
+	message: {
+		role: 'assistant';
+		content: string;
+	};
+	index: number;
+	finish_reason: 'length' | 'stop' | 'content_filter';
+}
+
+interface RequestOptions {
+	signal?: AbortSignal;
+	fetch?: typeof fetch;
+}
+
+export class OpenAIClient {
+	private readonly baseUrl: string;
+	private readonly headers: Headers;
+
+	constructor(baseUrl: string) {
+		this.baseUrl = baseUrl.replace(/\/$/, ''); // Remove trailing slash if present
+		this.headers = new Headers({ 'Content-Type': 'application/json' });
+	}
+
+	async listModels(options: RequestOptions = {}) {
+		options.fetch ??= fetch;
+
+		const response = await options.fetch(`${this.baseUrl}/v1/models`, {
+			headers: this.headers,
+			signal: options.signal
+		});
+		if (!response.ok) throw new Error(`HTTP error! status: ${response.status}`);
+
+		const data = (await response.json()) as ModelsResponse;
+		return data.data;
+	}
+
+	async createChatCompletion(input: ChatCompletionInput, options: RequestOptions = {}) {
+		options.fetch ??= fetch;
+
+		const response = await fetch(`${this.baseUrl}/v1/chat/completions`, {
+			method: 'POST',
+			headers: this.headers,
+			body: JSON.stringify(input),
+			signal: options.signal
+		});
+
+		if (!response.ok) throw new Error(`HTTP error! status: ${response.status}`);
+
+		const data = (await response.json()) as ChatCompletionOutput;
+		return data;
+	}
+}

src/lib/components/Ai/Panel.svelte

@@ -60,20 +60,20 @@
 			<button class="add-chat" onclick={() => add('New Chat')}><Plus size="14" /></button>
 		</div>
 	</nav>
-	<div>
-		{#if current}
+	{#each chats as chat (chat.id)}
+		<div style:display={chat.id === current?.id ? '' : 'none'}>
 			<ChatComponent
-				bind:dataset={current.dataset}
+				bind:dataset={chat.dataset}
 				{datasets}
-				bind:messages={current.messages}
-				onClearConversation={() => (current.messages = [])}
+				bind:messages={chat.messages}
+				onClearConversation={() => (chat.messages = [])}
 				{onOpenInEditor}
 				{models}
 				{selectedModel}
 				{onModelChange}
 			/>
-		{/if}
-	</div>
+		</div>
+	{/each}
 </div>
 
 <style>

src/lib/components/Ai/index.ts

@@ -1,6 +1,7 @@
 import type { Table } from '$lib/olap-engine';
 import type { ChatInput, Model } from './types';
 
+export { OpenAIClient } from './OpenAI';
 export { default as AiPanel } from './Panel.svelte';
 
 export interface Chat {
@@ -15,7 +16,7 @@ export type { Model };
 export const ArgnosticModel: Model = {
 	brand: 'Agnostic',
 	name: 'Agnostic AI (v0)',
-	endpoint: 'https://ai.agx.app/api/chat'
+	baseURL: 'https://ai.agx.app/'
 };
 
 export function serializeModel(model: Model) {

src/lib/components/Ai/types.ts

@@ -1,6 +1,6 @@
 export interface ChatInput {
 	messages: {
-		role: 'user' | 'assistant' | 'system' | 'tool';
+		role: 'user' | 'assistant' | 'system';
 		content: string;
 	}[];
 	stream?: false | undefined;
@@ -14,5 +14,5 @@ export interface ChatOutput {
 export interface Model {
 	name: string;
 	brand: string;
-	endpoint: string;
+	baseURL: string;
 }

src/lib/ollama/index.ts

@@ -2,7 +2,6 @@ import type { Model } from '$lib/components/Ai';
 import { OllamaClient } from './client';
 
 const ollama = new OllamaClient(OLLAMA_BASE_URL);
-const OLLAMA_CHAT_API_ENDPOINT = `${OLLAMA_BASE_URL}/api/chat`;
 
 export async function isInstalled() {
 	try {
@@ -15,5 +14,5 @@ export async function isInstalled() {
 
 export async function getModels(): Promise<Model[]> {
 	const models = await ollama.listModels();
-	return models.map((m) => ({ brand: 'Ollama', name: m.name, endpoint: OLLAMA_CHAT_API_ENDPOINT }));
+	return models.map((m) => ({ brand: 'Ollama', name: m.name, baseURL: OLLAMA_BASE_URL }));
 }

src/routes/+page.svelte

@@ -384,7 +384,7 @@ LIMIT 100;`;
 		if (!stored) return fallback;
 		return (
 			data.models.find(
-				(m) => m.name === stored.name && m.brand === stored.brand && m.endpoint === stored.endpoint
+				(m) => m.name === stored.name && m.brand === stored.brand && m.baseURL === stored.baseURL
 			) ?? fallback
 		);
 	});