feat: Convert all app files to JS

packages/backend/src/apps/self-hosted-llm/actions/index.js

@@ -0,0 +1,4 @@
+import sendPrompt from './send-prompt/index.js';
+import sendChatPrompt from './send-chat-prompt/index.js';
+
+export default [sendChatPrompt, sendPrompt];

packages/backend/src/apps/self-hosted-llm/actions/index.ts

@@ -1,4 +0,0 @@
-import sendPrompt from './send-prompt';
-import sendChatPrompt from './send-chat-prompt';
-
-export default [sendChatPrompt, sendPrompt];

packages/backend/src/apps/self-hosted-llm/actions/send-chat-prompt/index.js

@@ -1,13 +1,8 @@
-import defineAction from '../../../../helpers/define-action';
+import defineAction from '../../../../helpers/define-action.js';
 
-type TMessage = {
-  role: string;
-  content: string;
-}
-
-const castFloatOrUndefined = (value: string | null) => {
+const castFloatOrUndefined = (value) => {
   return value === '' ? undefined : parseFloat(value);
-}
+};
 
 export default defineAction({
   name: 'Send chat prompt',
@@ -17,7 +12,7 @@ export default defineAction({
     {
       label: 'Model',
       key: 'model',
-      type: 'dropdown' as const,
+      type: 'dropdown',
       required: true,
       variables: true,
       source: {
@@ -34,7 +29,7 @@ export default defineAction({
     {
       label: 'Messages',
       key: 'messages',
-      type: 'dynamic' as const,
+      type: 'dynamic',
       required: true,
       description: 'Add or remove messages as needed',
       value: [{ role: 'system', body: '' }],
@@ -42,7 +37,7 @@ export default defineAction({
         {
           label: 'Role',
           key: 'role',
-          type: 'dropdown' as const,
+          type: 'dropdown',
           required: true,
           options: [
             {
@@ -52,78 +47,84 @@ export default defineAction({
             {
               label: 'User',
               value: 'user',
-            }
+            },
           ],
         },
         {
           label: 'Content',
           key: 'content',
-          type: 'string' as const,
+          type: 'string',
           required: true,
           variables: true,
-        }
+        },
       ],
     },
     {
       label: 'Temperature',
       key: 'temperature',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'What sampling temperature to use. Higher values mean the model will take more risk. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. We generally recommend altering this or Top P but not both.'
+      description:
+        'What sampling temperature to use. Higher values mean the model will take more risk. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. We generally recommend altering this or Top P but not both.',
     },
     {
       label: 'Maximum tokens',
       key: 'maxTokens',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'The maximum number of tokens to generate in the completion.'
+      description:
+        'The maximum number of tokens to generate in the completion.',
     },
     {
       label: 'Stop Sequence',
       key: 'stopSequence',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'Single stop sequence where the API will stop generating further tokens. The returned text will not contain the stop sequence.'
+      description:
+        'Single stop sequence where the API will stop generating further tokens. The returned text will not contain the stop sequence.',
     },
     {
       label: 'Top P',
       key: 'topP',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with Top P probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.'
+      description:
+        'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with Top P probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.',
     },
     {
       label: 'Frequency Penalty',
       key: 'frequencyPenalty',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`,
     },
     {
       label: 'Presence Penalty',
       key: 'presencePenalty',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.`
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.`,
     },
   ],
 
   async run($) {
     const payload = {
-      model: $.step.parameters.model as string,
-      temperature: castFloatOrUndefined($.step.parameters.temperature as string),
-      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens as string),
-      stop: ($.step.parameters.stopSequence as string || null),
-      top_p: castFloatOrUndefined($.step.parameters.topP as string),
-      frequency_penalty: castFloatOrUndefined($.step.parameters.frequencyPenalty as string),
-      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty as string),
-      messages: ($.step.parameters.messages as TMessage[]).map(message => ({
+      model: $.step.parameters.model,
+      temperature: castFloatOrUndefined($.step.parameters.temperature),
+      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens),
+      stop: $.step.parameters.stopSequence || null,
+      top_p: castFloatOrUndefined($.step.parameters.topP),
+      frequency_penalty: castFloatOrUndefined(
+        $.step.parameters.frequencyPenalty
+      ),
+      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty),
+      messages: $.step.parameters.messages.map((message) => ({
         role: message.role,
         content: message.content,
       })),

packages/backend/src/apps/self-hosted-llm/actions/send-prompt/index.js

@@ -1,8 +1,8 @@
-import defineAction from '../../../../helpers/define-action';
+import defineAction from '../../../../helpers/define-action.js';
 
-const castFloatOrUndefined = (value: string | null) => {
+const castFloatOrUndefined = (value) => {
   return value === '' ? undefined : parseFloat(value);
-}
+};
 
 export default defineAction({
   name: 'Send prompt',
@@ -12,7 +12,7 @@ export default defineAction({
     {
       label: 'Model',
       key: 'model',
-      type: 'dropdown' as const,
+      type: 'dropdown',
       required: true,
       variables: true,
       source: {
@@ -29,71 +29,77 @@ export default defineAction({
     {
       label: 'Prompt',
       key: 'prompt',
-      type: 'string' as const,
+      type: 'string',
       required: true,
       variables: true,
-      description: 'The text to analyze.'
+      description: 'The text to analyze.',
     },
     {
       label: 'Temperature',
       key: 'temperature',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'What sampling temperature to use. Higher values mean the model will take more risk. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. We generally recommend altering this or Top P but not both.'
+      description:
+        'What sampling temperature to use. Higher values mean the model will take more risk. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. We generally recommend altering this or Top P but not both.',
     },
     {
       label: 'Maximum tokens',
       key: 'maxTokens',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'The maximum number of tokens to generate in the completion.'
+      description:
+        'The maximum number of tokens to generate in the completion.',
     },
     {
       label: 'Stop Sequence',
       key: 'stopSequence',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'Single stop sequence where the API will stop generating further tokens. The returned text will not contain the stop sequence.'
+      description:
+        'Single stop sequence where the API will stop generating further tokens. The returned text will not contain the stop sequence.',
     },
     {
       label: 'Top P',
       key: 'topP',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: 'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with Top P probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.'
+      description:
+        'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with Top P probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.',
     },
     {
       label: 'Frequency Penalty',
       key: 'frequencyPenalty',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`,
     },
     {
       label: 'Presence Penalty',
       key: 'presencePenalty',
-      type: 'string' as const,
+      type: 'string',
       required: false,
       variables: true,
-      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.`
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.`,
     },
   ],
 
   async run($) {
     const payload = {
-      model: $.step.parameters.model as string,
-      prompt: $.step.parameters.prompt as string,
-      temperature: castFloatOrUndefined($.step.parameters.temperature as string),
-      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens as string),
-      stop: ($.step.parameters.stopSequence as string || null),
-      top_p: castFloatOrUndefined($.step.parameters.topP as string),
-      frequency_penalty: castFloatOrUndefined($.step.parameters.frequencyPenalty as string),
-      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty as string),
+      model: $.step.parameters.model,
+      prompt: $.step.parameters.prompt,
+      temperature: castFloatOrUndefined($.step.parameters.temperature),
+      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens),
+      stop: $.step.parameters.stopSequence || null,
+      top_p: castFloatOrUndefined($.step.parameters.topP),
+      frequency_penalty: castFloatOrUndefined(
+        $.step.parameters.frequencyPenalty
+      ),
+      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty),
     };
     const { data } = await $.http.post('/v1/completions', payload);
 

packages/backend/src/apps/self-hosted-llm/auth/index.js

@@ -1,12 +1,12 @@
-import verifyCredentials from './verify-credentials';
-import isStillVerified from './is-still-verified';
+import verifyCredentials from './verify-credentials.js';
+import isStillVerified from './is-still-verified.js';
 
 export default {
   fields: [
     {
       key: 'screenName',
       label: 'Screen Name',
-      type: 'string' as const,
+      type: 'string',
       required: true,
       readOnly: false,
       value: null,
@@ -18,7 +18,7 @@ export default {
     {
       key: 'apiUrl',
       label: 'API URL',
-      type: 'string' as const,
+      type: 'string',
       required: true,
       readOnly: false,
       value: null,
@@ -29,7 +29,7 @@ export default {
     {
       key: 'apiKey',
       label: 'API Key',
-      type: 'string' as const,
+      type: 'string',
       required: true,
       readOnly: false,
       value: null,

packages/backend/src/apps/self-hosted-llm/auth/is-still-verified.js

@@ -0,0 +1,6 @@
+const isStillVerified = async ($) => {
+  const r = await $.http.get('/v1/models');
+  return true;
+};
+
+export default isStillVerified;

packages/backend/src/apps/self-hosted-llm/auth/is-still-verified.ts

@@ -1,8 +0,0 @@
-import { IGlobalVariable } from '@automatisch/types';
-
-const isStillVerified = async ($: IGlobalVariable) => {
-  const r = await $.http.get('/v1/models');
-  return true;
-};
-
-export default isStillVerified;

packages/backend/src/apps/self-hosted-llm/auth/verify-credentials.js

@@ -0,0 +1,5 @@
+const verifyCredentials = async ($) => {
+  await $.http.get('/v1/models');
+};
+
+export default verifyCredentials;

packages/backend/src/apps/self-hosted-llm/auth/verify-credentials.ts

@@ -1,7 +0,0 @@
-import { IGlobalVariable } from '@automatisch/types';
-
-const verifyCredentials = async ($: IGlobalVariable) => {
-  await $.http.get('/v1/models');
-};
-
-export default verifyCredentials;

packages/backend/src/apps/self-hosted-llm/common/add-auth-header.js

@@ -1,6 +1,4 @@
-import { TBeforeRequest } from '@automatisch/types';
-
-const addAuthHeader: TBeforeRequest = ($, requestConfig) => {
+const addAuthHeader = ($, requestConfig) => {
   if ($.auth.data?.apiKey) {
     requestConfig.headers.Authorization = `Bearer ${$.auth.data.apiKey}`;
   }

packages/backend/src/apps/self-hosted-llm/common/set-base-url.js

@@ -0,0 +1,9 @@
+const setBaseUrl = ($, requestConfig) => {
+  if ($.auth.data.apiUrl) {
+    requestConfig.baseURL = $.auth.data.apiUrl;
+  }
+
+  return requestConfig;
+};
+
+export default setBaseUrl;

packages/backend/src/apps/self-hosted-llm/common/set-base-url.ts

@@ -1,11 +0,0 @@
-import { TBeforeRequest } from '@automatisch/types';
-
-const setBaseUrl: TBeforeRequest = ($, requestConfig) => {
-  if ($.auth.data.apiUrl) {
-    requestConfig.baseURL = $.auth.data.apiUrl as string;
-  }
-
-  return requestConfig;
-};
-
-export default setBaseUrl;

packages/backend/src/apps/self-hosted-llm/dynamic-data/index.js

@@ -0,0 +1,3 @@
+import listModels from './list-models/index.js';
+
+export default [listModels];

packages/backend/src/apps/self-hosted-llm/dynamic-data/index.ts

@@ -1,3 +0,0 @@
-import listModels from './list-models';
-
-export default [listModels];

packages/backend/src/apps/self-hosted-llm/dynamic-data/list-models/index.js

@@ -1,13 +1,11 @@
-import { IGlobalVariable } from '@automatisch/types';
-
 export default {
   name: 'List models',
   key: 'listModels',
 
-  async run($: IGlobalVariable) {
+  async run($) {
     const response = await $.http.get('/v1/models');
 
-    const models = response.data.data.map((model: { id: string }) => {
+    const models = response.data.data.map((model) => {
       return {
         value: model.id,
         name: model.id,

packages/backend/src/apps/self-hosted-llm/index.js

@@ -1,9 +1,9 @@
-import defineApp from '../../helpers/define-app';
-import addAuthHeader from './common/add-auth-header';
-import setBaseUrl from './common/set-base-url';
-import auth from './auth';
-import actions from './actions';
-import dynamicData from './dynamic-data';
+import defineApp from '../../helpers/define-app.js';
+import addAuthHeader from './common/add-auth-header.js';
+import setBaseUrl from './common/set-base-url.js';
+import auth from './auth/index.js';
+import actions from './actions/index.js';
+import dynamicData from './dynamic-data/index.js';
 
 export default defineApp({
   name: 'Self-hosted LLM',