feat(Dynamic Models): together AI Dynamic Models

app/lib/.server/llm/stream-text.ts

@@ -1,11 +1,8 @@
-// eslint-disable-next-line @typescript-eslint/ban-ts-comment
-// @ts-nocheck – TODO: Provider proper types
-
 import { convertToCoreMessages, streamText as _streamText } from 'ai';
 import { getModel } from '~/lib/.server/llm/model';
 import { MAX_TOKENS } from './constants';
 import { getSystemPrompt } from './prompts';
-import { DEFAULT_MODEL, DEFAULT_PROVIDER, MODEL_LIST, MODEL_REGEX, PROVIDER_REGEX } from '~/utils/constants';
+import { DEFAULT_MODEL, DEFAULT_PROVIDER, getModelList, MODEL_REGEX, PROVIDER_REGEX } from '~/utils/constants';
 
 interface ToolResult<Name extends string, Args, Result> {
   toolCallId: string;
@@ -32,7 +29,7 @@ function extractPropertiesFromMessage(message: Message): { model: string; provid
 
   // Extract provider
   const providerMatch = message.content.match(PROVIDER_REGEX);
-  const provider = providerMatch ? providerMatch[1] : DEFAULT_PROVIDER;
+  const provider = providerMatch ? providerMatch[1] : DEFAULT_PROVIDER.name;
 
   // Remove model and provider lines from content
   const cleanedContent = message.content.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, '').trim();
@@ -40,10 +37,10 @@ function extractPropertiesFromMessage(message: Message): { model: string; provid
   return { model, provider, content: cleanedContent };
 }
 
-export function streamText(messages: Messages, env: Env, options?: StreamingOptions, apiKeys?: Record<string, string>) {
+export async function streamText(messages: Messages, env: Env, options?: StreamingOptions,apiKeys?: Record<string, string>) {
   let currentModel = DEFAULT_MODEL;
-  let currentProvider = DEFAULT_PROVIDER;
-
+  let currentProvider = DEFAULT_PROVIDER.name;
+  const MODEL_LIST = await getModelList(apiKeys||{});   
   const processedMessages = messages.map((message) => {
     if (message.role === 'user') {
       const { model, provider, content } = extractPropertiesFromMessage(message);
@@ -51,7 +48,6 @@ export function streamText(messages: Messages, env: Env, options?: StreamingOpti
       if (MODEL_LIST.find((m) => m.name === model)) {
         currentModel = model;
       }
-
       currentProvider = provider;
 
       return { ...message, content };
@@ -65,10 +61,10 @@ export function streamText(messages: Messages, env: Env, options?: StreamingOpti
   const dynamicMaxTokens = modelDetails && modelDetails.maxTokenAllowed ? modelDetails.maxTokenAllowed : MAX_TOKENS;
 
   return _streamText({
-    model: getModel(currentProvider, currentModel, env, apiKeys),
+    model: getModel(currentProvider, currentModel, env, apiKeys) as any,
     system: getSystemPrompt(),
     maxTokens: dynamicMaxTokens,
-    messages: convertToCoreMessages(processedMessages),
+    messages: convertToCoreMessages(processedMessages as any),
     ...options,
   });
 }

app/routes/api.chat.ts

@@ -1,6 +1,3 @@
-// eslint-disable-next-line @typescript-eslint/ban-ts-comment
-// @ts-nocheck – TODO: Provider proper types
-
 import { type ActionFunctionArgs } from '@remix-run/cloudflare';
 import { MAX_RESPONSE_SEGMENTS, MAX_TOKENS } from '~/lib/.server/llm/constants';
 import { CONTINUE_PROMPT } from '~/lib/.server/llm/prompts';
@@ -11,8 +8,8 @@ export async function action(args: ActionFunctionArgs) {
   return chatAction(args);
 }
 
-function parseCookies(cookieHeader) {
-  const cookies = {};
+function parseCookies(cookieHeader:string) {
+  const cookies:any = {};
 
   // Split the cookie string by semicolons and spaces
   const items = cookieHeader.split(';').map((cookie) => cookie.trim());
@@ -39,14 +36,13 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
   const cookieHeader = request.headers.get('Cookie');
 
   // Parse the cookie's value (returns an object or null if no cookie exists)
-  const apiKeys = JSON.parse(parseCookies(cookieHeader).apiKeys || '{}');
+  const apiKeys = JSON.parse(parseCookies(cookieHeader||"").apiKeys || '{}'); 
 
   const stream = new SwitchableStream();
 
   try {
     const options: StreamingOptions = {
       toolChoice: 'none',
-      apiKeys,
       onFinish: async ({ text: content, finishReason }) => {
         if (finishReason !== 'length') {
           return stream.close();
@@ -63,7 +59,7 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
         messages.push({ role: 'assistant', content });
         messages.push({ role: 'user', content: CONTINUE_PROMPT });
 
-        const result = await streamText(messages, context.cloudflare.env, options);
+        const result = await streamText(messages, context.cloudflare.env, options,apiKeys);
 
         return stream.switchSource(result.toAIStream());
       },
@@ -79,7 +75,7 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
         contentType: 'text/plain; charset=utf-8',
       },
     });
-  } catch (error) {
+  } catch (error:any) {
     console.log(error);
 
     if (error.message?.includes('API key')) {

app/types/model.ts

@@ -3,7 +3,7 @@ import type { ModelInfo } from '~/utils/types';
 export type ProviderInfo = {
   staticModels: ModelInfo[];
   name: string;
-  getDynamicModels?: () => Promise<ModelInfo[]>;
+  getDynamicModels?: (apiKeys?: Record<string, string>) => Promise<ModelInfo[]>;
   getApiKeyLink?: string;
   labelForGetApiKey?: string;
   icon?: string;

app/utils/constants.ts

@@ -1,3 +1,5 @@
+import Cookies from 'js-cookie';
+import { parseCookies } from './parseCookies';
 import type { ModelInfo, OllamaApiResponse, OllamaModel } from './types';
 import type { ProviderInfo } from '~/types/model';
 
@@ -262,6 +264,7 @@ const PROVIDER_LIST: ProviderInfo[] = [
   },
   {
     name: 'Together',
+    getDynamicModels: getTogetherModels, 
     staticModels: [
       {
         name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
@@ -293,6 +296,61 @@ const staticModels: ModelInfo[] = PROVIDER_LIST.map((p) => p.staticModels).flat(
 
 export let MODEL_LIST: ModelInfo[] = [...staticModels];
 
+
+export async function getModelList(apiKeys: Record<string, string>) {
+  MODEL_LIST = [
+    ...(
+      await Promise.all(
+        PROVIDER_LIST.filter(
+          (p): p is ProviderInfo & { getDynamicModels: () => Promise<ModelInfo[]> } => !!p.getDynamicModels,
+        ).map((p) => p.getDynamicModels(apiKeys)),
+      )
+    ).flat(),
+    ...staticModels,
+  ];
+  return MODEL_LIST;
+}
+
+async function getTogetherModels(apiKeys?: Record<string, string>): Promise<ModelInfo[]> {
+  try {
+    let baseUrl = import.meta.env.TOGETHER_API_BASE_URL || '';
+    let provider='Together'
+
+  if (!baseUrl) {
+    return [];
+  }
+  let apiKey = import.meta.env.OPENAI_LIKE_API_KEY ?? ''
+
+  if (apiKeys && apiKeys[provider]) {
+    apiKey = apiKeys[provider];
+  }
+
+  if (!apiKey) {
+    return [];
+  }
+
+  const response = await fetch(`${baseUrl}/models`, {
+    headers: {
+      Authorization: `Bearer ${apiKey}`,
+    },
+  });
+  const res = (await response.json()) as any;
+    let data: any[] = (res || []).filter((model: any) => model.type=='chat')
+  return data.map((m: any) => ({
+    name: m.id,
+    label: `${m.display_name} - in:$${(m.pricing.input).toFixed(
+      2,
+    )} out:$${(m.pricing.output).toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
+    provider: provider,
+    maxTokenAllowed: 8000, 
+  }));
+} catch (e) {
+  console.error('Error getting OpenAILike models:', e);
+  return [];
+}
+}
+
+
 const getOllamaBaseUrl = () => {
   const defaultBaseUrl = import.meta.env.OLLAMA_API_BASE_URL || 'http://localhost:11434';
 
@@ -339,8 +397,13 @@ async function getOpenAILikeModels(): Promise<ModelInfo[]> {
     if (!baseUrl) {
       return [];
     }
+    let apiKey = import.meta.env.OPENAI_LIKE_API_KEY ?? '';
+    
+    let apikeys = JSON.parse(Cookies.get('apiKeys')||'{}')
+    if (apikeys && apikeys['OpenAILike']){
+      apiKey = apikeys['OpenAILike'];
+    }
 
-    const apiKey = import.meta.env.OPENAI_LIKE_API_KEY ?? '';
     const response = await fetch(`${baseUrl}/models`, {
       headers: {
         Authorization: `Bearer ${apiKey}`,
@@ -396,7 +459,6 @@ async function getLMStudioModels(): Promise<ModelInfo[]> {
   if (typeof window === 'undefined') {
     return [];
   }
-
   try {
     const baseUrl = import.meta.env.LMSTUDIO_API_BASE_URL || 'http://localhost:1234';
     const response = await fetch(`${baseUrl}/v1/models`);
@@ -414,12 +476,27 @@ async function getLMStudioModels(): Promise<ModelInfo[]> {
 }
 
 async function initializeModelList(): Promise<ModelInfo[]> {
+  let apiKeys: Record<string, string> = {};
+  try {
+    const storedApiKeys = Cookies.get('apiKeys');
+
+    if (storedApiKeys) {
+      const parsedKeys = JSON.parse(storedApiKeys);
+
+      if (typeof parsedKeys === 'object' && parsedKeys !== null) {
+        apiKeys = parsedKeys;
+      }
+    }
+    
+  } catch (error) {
+    
+  }
   MODEL_LIST = [
     ...(
       await Promise.all(
         PROVIDER_LIST.filter(
           (p): p is ProviderInfo & { getDynamicModels: () => Promise<ModelInfo[]> } => !!p.getDynamicModels,
-        ).map((p) => p.getDynamicModels()),
+        ).map((p) => p.getDynamicModels(apiKeys)),
       )
     ).flat(),
     ...staticModels,

app/utils/parseCookies.ts

@@ -0,0 +1,19 @@
+export function parseCookies(cookieHeader: string) {
+    const cookies: any = {};
+
+    // Split the cookie string by semicolons and spaces
+    const items = cookieHeader.split(';').map((cookie) => cookie.trim());
+
+    items.forEach((item) => {
+        const [name, ...rest] = item.split('=');
+
+        if (name && rest) {
+            // Decode the name and value, and join value parts in case it contains '='
+            const decodedName = decodeURIComponent(name.trim());
+            const decodedValue = decodeURIComponent(rest.join('=').trim());
+            cookies[decodedName] = decodedValue;
+        }
+    });
+
+    return cookies;
+}

vite.config.ts

@@ -28,7 +28,7 @@ export default defineConfig((config) => {
       chrome129IssuePlugin(),
       config.mode === 'production' && optimizeCssModules({ apply: 'build' }),
     ],
-    envPrefix:["VITE_","OPENAI_LIKE_API_","OLLAMA_API_BASE_URL","LMSTUDIO_API_BASE_URL"],
+    envPrefix: ["VITE_", "OPENAI_LIKE_API_", "OLLAMA_API_BASE_URL", "LMSTUDIO_API_BASE_URL","TOGETHER_API_BASE_URL"],
     css: {
       preprocessorOptions: {
         scss: {