@@ -508,6 +441,6 @@ export default {
}
const adminUiKeys = Object.keys(adminUis)
- return { routes, langs, openAi, icons, uis, adminUis, adminUiKeys }
+ return { routes, icons, uis, adminUis, adminUiKeys }
}
}
diff --git a/AiServer/wwwroot/mjs/langs.mjs b/AiServer/wwwroot/mjs/langs.mjs
deleted file mode 100644
index ed9bc16..0000000
--- a/AiServer/wwwroot/mjs/langs.mjs
+++ /dev/null
@@ -1,235 +0,0 @@
-
-import { marked } from "./markdown.mjs"
-import hljs from "../lib/mjs/highlight.mjs"
-import hljsDart from "../lib/mjs/dart.min.js"
-import hljsFsharp from "../lib/mjs/fsharp.min.js"
-
-export const langs = {
- csharp: 'C#',
- typescript: 'TypeScript',
- mjs: 'JS',
- python: 'Python',
- dart: 'Dart',
- php: 'PHP',
- java: 'Java',
- kotlin: 'Kotlin',
- swift: 'Swift',
- fsharp: 'F#',
- vbnet: 'VB.NET',
-}
-
-const csharp = `
-using ServiceStack;
-
-var client = new JsonApiClient(baseUrl);
-client.BearerToken = apiKey;
-
-var api = await client.ApiAsync(new OpenAiChatCompletion {
- Model = "mixtral:8x22b",
- Messages = [
- new() {
- Role = "user",
- Content = "What's the capital of France?"
- }
- ],
- MaxTokens = 50
-});
-`
-const typescript = `
-import { JsonServiceClient } from "@servicestack/client"
-import { OpenAiChatCompletion } from "./dtos"
-
-const client = new JsonServiceClient(baseUrl)
-client.bearerToken = apiKey
-
-const api = await client.api(new OpenAiChatCompletion({
- model: "mixtral:8x22b",
- messages: [
- { role:"user", content:"What's the capital of France?" }
- ],
- maxTokens: 50,
-}))
-`
-const mjs = `
-import { JsonServiceClient } from "@servicestack/client"
-import { OpenAiChatCompletion } from "./dtos.mjs"
-
-const client = new JsonServiceClient(baseUrl)
-client.bearerToken = apiKey
-
-const api = await client.api(new OpenAiChatCompletion({
- model: "mixtral:8x22b",
- messages: [
- { role:"user", content:"What's the capital of France?" }
- ],
- maxTokens: 50,
-}))
-`
-const python = `
-from servicestack import JsonServiceClient
-from my_app.dtos import *
-
-client = JsonServiceClient(base_url)
-client.bearer_token = api_key
-
-response = client.send(OpenAiChatCompletion(
- model="mixtral:8x22b",
- messages=[
- OpenAiMessage(
- "role": "user",
- "content": "What's the capital of France?"
- )
- ],
- max_tokens=50
-))
-`
-const dart = `
-import 'dart:io';
-import 'dart:typed_data';
-import 'package:servicestack/client.dart';
-
-var client = ClientFactory.api(baseUrl);
-
-var response = await client.send(OpenAiChatCompletion(
- ..model = "mixtral:8x22b",
- ..messages = [
- OpenAiMessage()
- ..role="user"
- ..content="What's the capital of France?"
- ],
- ..max_tokens = 50
-));
-`
-const php = `
-use ServiceStack\\JsonServiceClient;
-use dtos\\OpenAiChatCompletion;
-use dtos\\OpenAiMessage;
-
-$client = new JsonServiceClient(baseUrl);
-$client->bearerToken = apiKey;
-
-/** @var {OpenAiChatCompletionResponse} $response */
-$response = $client->send(new OpenAiChatCompletion(
- model: "mixtral:8x22b",
- messages: [
- new OpenAiMessage(
- role: "user",
- content: "What's the capital of France?"
- )
- ],
- max_tokens: 50
-));
-`
-const java = `
-import net.servicestack.client.*;
-import java.util.Collections;
-
-var request = new OpenAiChatCompletion();
-request.setModel("mixtral:8x22b")
- .setMaxTokens(50)
- .setMessages(Utils.createList(new OpenAiMessage()
- .setRole("user")
- .setContent("What's the capital of France?")
- ));
-OpenAiChatResponse response = client.send(request);
-`
-const kotlin = `
-package myapp
-import net.servicestack.client.*
-
-val client = JsonServiceClient(baseUrl)
-client.bearerToken = apiKey
-
-val response = client.send(OpenAiChatCompletion().apply {
- model = "mixtral:8x22b"
- messages = arrayListOf(OpenAiMessage().apply {
- role = "user"
- content = "What's the capital of France?"
- })
- maxTokens = 50
-});
-`
-const swift = `
-import Foundation
-import ServiceStack
-
-let client = JsonServiceClient(baseUrl:baseUrl)
-client.bearerToken = apiKey
-
-let request = OpenAiChatCompletion()
-request.model = "mixtral:8x22b"
-let msg = OpenAiMessage()
-msg.role = "user"
-msg.content = "What's the capital of France?"
-request.messages = [msg]
-request.max_tokens = 50
-
-let response = try client.send(request)
-`
-const fsharp = `
-open ServiceStack
-open ServiceStack.Text
-
-let client = new JsonApiClient(baseUrl)
-client.BearerToken <- apiKey
-
-let response = client.Send(new OpenAiChatCompletion(
- Model = "mixtral:8x22b",
- Messages = ResizeArray [
- OpenAiMessage(
- Role = "user",
- Content = "What's the capital of France?"
- )
- ],
- MaxTokens = 50))
-`
-const vbnet = `
-Imports ServiceStack
-Imports ServiceStack.Text
-
-Dim client = New JsonApiClient(baseUrl)
-client.BearerToken = apiKey
-
-Dim api = Await client.ApiAsync(New OpenAiChatCompletion()
- With {
- .Model = "mixtral:8x22b",
- .Messages = New List(Of OpenAiMessage) From {
- New OpenAiMessage With {
- .Role = "user",
- .Content = "What's the capital of France?"
- }
- },
- .MaxTokens = 50
- })
-`
-
-export const openAi = (() => {
- hljs.registerLanguage('dart', hljsDart)
- hljs.registerLanguage('fsharp', hljsFsharp)
-
- const ret = {
- code: {
- csharp,
- typescript,
- mjs,
- python,
- dart,
- php,
- java,
- kotlin,
- swift,
- fsharp,
- vbnet,
- },
- html: {}
- }
-
- Object.keys(ret.code).forEach(lang => {
- ret.html[lang] = marked.parse(
- '```' + lang + '\n'
- + ret.code[lang]
- + '\n```')
- })
-
- return ret
-})()
\ No newline at end of file
diff --git a/AiServer/wwwroot/mjs/markdown.mjs b/AiServer/wwwroot/mjs/markdown.mjs
index 6210a30..e60d61e 100644
--- a/AiServer/wwwroot/mjs/markdown.mjs
+++ b/AiServer/wwwroot/mjs/markdown.mjs
@@ -1,5 +1,5 @@
import { Marked } from "../lib/mjs/marked.mjs"
-import hljs from "../lib/mjs/highlight.mjs"
+import hljs from "highlight.mjs"
export const marked = (() => {
const ret = new Marked(
@@ -15,33 +15,6 @@ export const marked = (() => {
return ret
})();
-// Custom extension to handle class-based div-like syntax
-function divExtension() {
- const pattern = /^:::\{\.([^}]+)}\n([\s\S]*?):::$/;
- return {
- name: 'div',
- level: 'block',
- start(src) {
- return src.match(pattern)?.index;
- },
- tokenizer(src) {
- const match = src.match(pattern);
- if (match) {
- return {
- type: 'div',
- raw: match[0],
- classes: match[1].split('.').filter(Boolean),
- text: match[2]
- };
- }
- },
- renderer(token) {
- const classes = token.classes.join(' ');
- return `
${marked.parse(token.text)}
`;
- }
- };
-}
-
// export async function renderMarkdown(body) {
// const rawHtml = marked.parse(body)
// return