🚀 Feat: Streamline File Strategies & GPT-4-Vision Settings (#1535)

* chore: fix `endpoint` typescript issues and typo in console info message

* feat(api): files GET endpoint and save only file_id references to messages

* refactor(client): `useGetFiles` query hook, update file types, optimistic update of filesQuery on file upload

* refactor(buildTree): update to use params object and accept fileMap

* feat: map files to messages; refactor(ChatView): messages only available after files are fetched

* fix: fetch files only when authenticated

* feat(api): AppService
- rename app.locals.configs to app.locals.paths
- load custom config use fileStrategy from yaml config in app.locals

* refactor: separate Firebase and Local strategies, call based on config

* refactor: modularize file strategies and employ with use of DALL-E

* refactor(librechat.yaml): add fileStrategy field

* feat: add source to MongoFile schema, as well as BatchFile, and ExtendedFile types

* feat: employ file strategies for upload/delete files

* refactor(deleteFirebaseFile): add user id validation for firebase file deletion

* chore(deleteFirebaseFile): update jsdocs

* feat: employ strategies for vision requests

* fix(client): handle messages with deleted files

* fix(client): ensure `filesToDelete` always saves/sends `file.source`

* feat(openAI): configurable `resendImages` and `imageDetail`

* refactor(getTokenCountForMessage): recursive process only when array of Objects and only their values (not keys) aside from `image_url` types

* feat(OpenAIClient): calculateImageTokenCost

* chore: remove comment

* refactor(uploadAvatar): employ fileStrategy for avatars, from social logins or user upload

* docs: update docs on how to configure fileStrategy

* fix(ci): mock winston and winston related modules, update DALLE3.spec.js with changes made

* refactor(redis): change terminal message to reflect current development state

* fix(DALL-E-2): pass fileStrategy to dall-e

api/app/clients/specs/OpenAIClient.test.js

@@ -546,6 +546,39 @@ describe('OpenAIClient', () => {
         expect(totalTokens).toBe(testCase.expected);
       });
     });
+
+    const vision_request = [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'describe what is in this image?',
+          },
+          {
+            type: 'image_url',
+            image_url: {
+              url: 'https://venturebeat.com/wp-content/uploads/2019/03/openai-1.png',
+              detail: 'high',
+            },
+          },
+        ],
+      },
+    ];
+
+    const expectedTokens = 14;
+    const visionModel = 'gpt-4-vision-preview';
+
+    it(`should return ${expectedTokens} tokens for model ${visionModel} (Vision Request)`, () => {
+      client.modelOptions.model = visionModel;
+      client.selectTokenizer();
+      // 3 tokens for assistant label
+      let totalTokens = 3;
+      for (let message of vision_request) {
+        totalTokens += client.getTokenCountForMessage(message);
+      }
+      expect(totalTokens).toBe(expectedTokens);
+    });
   });
 
   describe('sendMessage/getCompletion/chatCompletion', () => {