feat: add AIML API provider

Introduces support for the AI/ML API provider, including configuration options, chat and embedding model loading, and UI integration. Updates documentation and sample config to reflect the new provider.

src/lib/providers/aimlapi.ts

@@ -0,0 +1,94 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getAimlApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { Embeddings } from '@langchain/core/embeddings';
+import axios from 'axios';
+
+export const PROVIDER_INFO = {
+  key: 'aimlapi',
+  displayName: 'AI/ML API',
+};
+
+interface AimlApiModel {
+  id: string;
+  name?: string;
+  type?: string;
+}
+
+const API_URL = 'https://api.aimlapi.com';
+
+export const loadAimlApiChatModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const chatModels: Record<string, ChatModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'chat-completion') {
+        chatModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new ChatOpenAI({
+            openAIApiKey: apiKey,
+            modelName: model.id,
+            temperature: 0.7,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as BaseChatModel,
+        };
+      }
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API models: ${err}`);
+    return {};
+  }
+};
+
+export const loadAimlApiEmbeddingModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'embedding') {
+        embeddingModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new OpenAIEmbeddings({
+            openAIApiKey: apiKey,
+            modelName: model.id,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as Embeddings,
+        };
+      }
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API embeddings models: ${err}`);
+    return {};
+  }
+};