still some todos but this shit works boiii

src/extension.ts

@@ -2,12 +2,17 @@ import { ok } from 'assert';
 import * as vscode from 'vscode';
 import commentPrefix from './comments.json';
 import {
-	LlamaData,
 	LlamaRequest,
 	createLlamacppRequest,
 	llamacppRequestEndpoint,
 	llamacppMakeRequest,
 } from './llamacpp-api';
+import {
+	OpenAICompletionRequest,
+	createOpenAIAPIRequest,
+	openAIAPIRequestEndpoint,
+	openAIMakeRequest,
+} from './openai-api';
 import {
 	FetchErrorCause,
 	ResponseData,
@@ -99,9 +104,20 @@ export function activate(context: vscode.ExtensionContext) {
 			doc_before = pfx + ' ' + fname + sfx + '\n' + doc_before;
 
 			// actially make the request
-			const request: LlamaRequest = createLlamacppRequest(config, doc_before, doc_after);
-			const endpoint: string = llamacppRequestEndpoint(config);
-			let data: ResponseData = await llamacppMakeRequest(request, endpoint);
+			let data: ResponseData = { content: '', tokens: 0, time: 0 };
+			if (config.get('llamaUseOpenAIAPI') === true) {
+				const request: OpenAICompletionRequest = createOpenAIAPIRequest(
+					config,
+					doc_before,
+					doc_after
+				);
+				const endpoint: string = openAIAPIRequestEndpoint(config);
+				data = await openAIMakeRequest(request, endpoint);
+			} else {
+				const request: LlamaRequest = createLlamacppRequest(config, doc_before, doc_after);
+				const endpoint: string = llamacppRequestEndpoint(config);
+				data = await llamacppMakeRequest(request, endpoint);
+			}
 
 			result.items.push({
 				insertText: data.content,

src/openai-api.ts

@@ -1,9 +1,15 @@
 import * as vscode from 'vscode';
+import {
+	FetchErrorCause,
+	ResponseData,
+	showMessageWithTimeout,
+	showPendingStatusBar,
+} from './common';
 
 // oogabooga/text-generation-webui OpenAI compatible API
 // https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API
 
-type OpenAICompletionRequest = {
+export type OpenAICompletionRequest = {
 	model?: string; // automatic
 	prompt: string;
 	best_of?: number; // 1
@@ -57,11 +63,20 @@ type OpenAICompletionRequest = {
 
 type OpenAICompletionSuccessResponse = {
 	id: string;
-	choices: object[];
+	choices: {
+		finish_reason: string;
+		index: number;
+		logprobs: object | null;
+		text: string;
+	}[];
 	created?: number;
 	model: string;
 	object?: string;
-	usage: object;
+	usage: {
+		completion_tokens: number;
+		prompt_tokens: number;
+		total_tokens: number;
+	};
 };
 
 type OpenAICompletionFailureResponse = {
@@ -111,6 +126,66 @@ export function createOpenAIAPIRequest(
 }
 
 // for now only completions is implemented
-export function OpenAIAPIRequestEndpoint(config: vscode.WorkspaceConfiguration): string {
-	return '/v1/completions';
+export function openAIAPIRequestEndpoint(config: vscode.WorkspaceConfiguration): string {
+	return (config.get('llamaHost') as string) + '/v1/completions';
+}
+
+export async function openAIMakeRequest(
+	request: OpenAICompletionRequest,
+	endpoint: string
+): Promise<ResponseData> {
+	let ret: ResponseData = {
+		content: '',
+		tokens: 0,
+		time: 0,
+	};
+	let data: OpenAICompletionResponse;
+	// try to send the request to the running server
+	try {
+		const response_promise = fetch(endpoint, {
+			method: 'POST',
+			headers: {
+				'content-type': 'application/json; charset=UTF-8',
+			},
+			body: JSON.stringify(request),
+		});
+
+		showPendingStatusBar('dumbpilot waiting', response_promise);
+
+		//	TODO: measure the time it takes the server to respond
+		let resp_time: number = 0;
+		const response = await response_promise;
+
+		if (response.ok === false) {
+			throw new Error('llama server request is not ok??');
+		}
+
+		data = (await response.json()) as OpenAICompletionResponse;
+
+		// check wether the remote gave back an error
+		if (Object.hasOwn(data, 'detail') === true) {
+			data = data as OpenAICompletionFailureResponse;
+			// TODO: why did it error?
+			throw new Error('OpenAI Endpoint Error');
+		}
+
+		// unpack the data
+		data = data as OpenAICompletionSuccessResponse;
+		// FIXME: why the choices may be multiple?
+		// TODO: display the multiple choices
+		ret.content = data.choices[0].text;
+		ret.tokens = data.usage.completion_tokens;
+		ret.time = resp_time;
+
+		showMessageWithTimeout(`predicted ${ret.tokens} tokens in ${ret.time} seconds`, 1500);
+	} catch (e: any) {
+		const err = e as TypeError;
+		const cause: FetchErrorCause = err.cause as FetchErrorCause;
+		const estr: string =
+			err.message + ' ' + cause.code + ' at ' + cause.address + ':' + cause.port;
+		// let the user know something went wrong
+		// TODO: maybe add a retry action or something
+		showMessageWithTimeout('dumbpilot error: ' + estr, 3000);
+	}
+	return ret;
 }