code:
# Deploy to Huggingface Space

This repository can be deployed to a [Huggingface Space](https://huggingface.co/spaces).  This is a free service that allows you to run a simple server in the cloud.  You can use it to safely share your OpenAI API key with a friend.

### 1. Get an API key
- Go to [OpenAI](https://openai.com/) and sign up for an account. You can use a free trial key for this as long as you provide SMS verification.

### 2. Create an empty Huggingface Space
- Go to [Huggingface](https://huggingface.co/) and sign up for an account.
- Once logged in, [create a new Space](https://huggingface.co/new-space).
- Provide a name for your Space and select "Docker" as the SDK.  Select "Blank" for the template.
- Click "Create Space" and wait for the Space to be created.

![Create Space](huggingface-createspace.png)

### 3. Create an empty Dockerfile
- Once your Space is created, you'll see an option to "Create the Dockerfile in your browser".  Click that link.

![Create Dockerfile](huggingface-dockerfile.png)
- Paste the following into the text editor and click "Save".
```dockerfile
FROM node:18-bullseye-slim
RUN apt-get update && \
    apt-get install -y git
RUN git clone https://gitgud.io/khanon/oai-reverse-proxy.git /app
WORKDIR /app
RUN npm install
COPY Dockerfile greeting.md* .env* ./
RUN npm run build
EXPOSE 7860
ENV NODE_ENV=production
CMD [ "npm", "start" ]
```
- Click "Commit new file to `main`" to save the Dockerfile.

![Commit](huggingface-savedockerfile.png)

### 4. Set your OpenAI API key as a secret
- Click the Settings button in the top right corner of your repository.
- Scroll down to the `Repository Secrets` section and click `New Secret`.

![Secrets](https://files.catbox.moe/irrp2p.png)

- Enter `OPENAI_KEY` as the name and your OpenAI API key as the value.

![New Secret](https://files.catbox.moe/ka6s1a.png)

### 5. Deploy the server
- Your server should automatically deploy when you add the secret, but if not you can select `Factory Reboot` from that same Settings menu.

### 6. Share the link
- The Service Info section below should show the URL for your server. You can share this with anyone to safely give them access to your OpenAI API key.
- Your friend doesn't need any OpenAI API key of their own, they just need your link.

# Optional

## Updating the server

To update your server, go to the Settings menu and select `Factory Reboot`.  This will pull the latest version of the code from GitHub and restart the server.

Note that if you just perform a regular Restart, the server will be restarted with the same code that was running before.

## Adding a greeting message

You can create a Markdown file called `greeting.md` to display a message on the Server Info page.  This is a good place to put instructions for how to use the server.

## Customizing the server

The server will be started with some default configuration, but you can override it by adding a `.env` file to your Space.  You can use Huggingface's web editor to create a new `.env` file alongside your Dockerfile. Huggingface will restart your server automatically when you save the file.

Here are some example settings:
```shell
# Requests per minute per IP address
MODEL_RATE_LIMIT=2
# Max tokens to request from OpenAI
MAX_OUTPUT_TOKENS=256
# Block prompts containing disallowed characters
REJECT_DISALLOWED=false
REJECT_MESSAGE="This content violates /aicg/'s acceptable use policy."
```

See `.env.example` for a full list of available settings, or check `config.ts` for details on what each setting does.

## Restricting access to the server

If you want to restrict access to the server, you can set a `PROXY_KEY` secret.  This key will need to be passed in the Authentication header of every request to the server, just like an OpenAI API key.

Add this using the same method as the OPENAI_KEY secret above. Don't add this to your `.env` file because that file is public and anyone can see it.


code:
# Deploy to Render.com
Render.com offers a free tier that includes 750 hours of compute time per month.  This is enough to run a single proxy instance 24/7.  Instances shut down after 15 minutes without traffic but start up again automatically when a request is received.

### 1. Create account
- [Sign up for Render.com](https://render.com/) to create an account and access the dashboard.

### 2. Create a service using a Blueprint
Render allows you to deploy and auutomatically configure a repository containing a [render.yaml](../render.yaml) file using its Blueprints feature.  This is the easiest way to get started.

- Click the **Blueprints** tab at the top of the dashboard.
- Click **New Blueprint Instance**.
- Under **Public Git repository**, enter `https://gitlab.com/khanon/oai-proxy`.
  - Note that this is not the GitGud repository, but a mirror on GitLab.
- Click **Continue**.
- Under **Blueprint Name**, enter a name.
- Under **Branch**, enter `main`.
- Click **Apply**.

The service will be created according to the instructions in the `render.yaml` file.  Don't wait for it to complete as it will fail due to missing environment variables.  Instead, proceed to the next step.

### 3. Set environment variables
- Return to the **Dashboard** tab.
- Click the name of the service you just created, which may show as "Deploy failed".
- Click the **Environment** tab.
- Click **Add Secret File**.
- Under **Filename**, enter `.env`.
- Under **Contents**, enter all of your environment variables, one per line, in the format `NAME=value`.
  - For example, `OPENAI_KEY=sk-abc123`.
- Click **Save Changes**.

The service will automatically rebuild and deploy with the new environment variables.  This will take a few minutes.  The link to your deployed proxy will appear at the top of the page.

If you want to change the URL, go to the **Settings** tab of your Web Service and click the **Edit** button next to **Name**.  You can also set a custom domain, though I haven't tried this yet.

# Optional

## Updating the server

To update your server, go to the page for your Web Service and click **Manual Deploy** > **Deploy latest commit**.  This will pull the latest version of the code and redeploy the server.

_If you have trouble with this, you can also try selecting **Clear build cache & deploy** instead from the same menu._

## Adding a greeting message

To show a greeting message on the Server Info page, set the `GREETING_URL` environment variable within Render to the URL of a Markdown file.  This URL should point to a raw text file, not an HTML page. You can use a public GitHub Gist or GitLab Snippet for this.  For example: `GREETING_URL=https://gitlab.com/-/snippets/2542011/raw/main/greeting.md`.  You can change the title of the page by setting the `SERVER_TITLE` environment variable.

Don't set `GREETING_URL` in the `.env` secret file you created earlier; it must be set in Render's environment variables section for it to work correctly.

## Customizing the server

You can customize the server by editing the `.env` configuration you created earlier. Refer to [.env.example](../.env.example) for a list of all available configuration options. Further information can be found in the [config.ts](../src/config.ts) file.

repo_name: TheRealZoink/oai

license: unknown


code:
# Warning
**I strongly suggest against using this feature with a Google account that you care about.** Depending on the content of the prompts people submit, Google may flag the spreadsheet as containing inappropriate content. This seems to prevent you from sharing that spreadsheet _or any others on the account. This happened with my throwaway account during testing; the existing shared spreadsheet continues to work but even completely new spreadsheets are flagged and cannot be shared.

I'll be looking into alternative storage backends but you should not use this implementation with a Google account you care about, or even one remotely connected to your main accounts (as Google has a history of linking accounts together via IPs/browser fingerprinting). Use a VPN and completely isolated VM to be safe.

# Configuring Google Sheets Prompt Logging
This proxy can log incoming prompts and model responses to Google Sheets. Some configuration on the Google side is required to enable this feature. The APIs used are free, but you will need a Google account and a Google Cloud Platform project.

NOTE: Concurrency is not supported. Don't connect two instances of the server to the same spreadsheet or bad things will happen.

## Prerequisites
- A Google account
  - **USE A THROWAWAY ACCOUNT!**
- A Google Cloud Platform project

### 0. Create a Google Cloud Platform Project
_A Google Cloud Platform project is required to enable programmatic access to Google Sheets. If you already have a project, skip to the next step. You can also see the [Google Cloud Platform documentation](https://developers.google.com/workspace/guides/create-project) for more information._

- Go to the Google Cloud Platform Console and [create a new project](https://console.cloud.google.com/projectcreate).

### 1. Enable the Google Sheets API
_The Google Sheets API must be enabled for your project. You can also see the [Google Sheets API documentation](https://developers.google.com/sheets/api/quickstart/nodejs) for more information._

- Go to the [Google Sheets API page](https://console.cloud.google.com/apis/library/sheets.googleapis.com) and click **Enable**, then fill in the form to enable the Google Sheets API for your project.
<!-- TODO: Add screenshot of Enable page and describe filling out the form -->

### 2. Create a Service Account
_A service account is required to authenticate the proxy to Google Sheets._

- Once the Google Sheets API is enabled, click the **Credentials** tab on the Google Sheets API page.
- Click **Create credentials** and select **Service account**.
- Provide a name for the service account and click **Done** (the second and third steps can be skipped).

### 3. Download the Service Account Key
_Once your account is created, you'll need to download the key file and include it in the proxy's secrets configuration._

- Click the Service Account you just created in the list of service accounts for the API.
- Click the **Keys** tab and click **Add key**, then select **Create new key**.
- Select **JSON** as the key type and click **Create**.

The JSON file will be downloaded to your computer.

### 4. Set the Service Account key as a Secret
_The JSON key file must be set as a secret in the proxy's configuration. Because files cannot be included in the secrets configuration, you'll need to base64 encode the file's contents and paste the encoded string as the value of the `GOOGLE_SHEETS_KEY` secret._

- Open the JSON key file in a text editor and copy the contents.
- Visit the [base64 encode/decode tool](https://www.base64encode.org/) and paste the contents into the box, then click **Encode**.
- Copy the encoded string and paste it as the value of the `GOOGLE_SHEETS_KEY` secret in the deployment's secrets configuration.
  - **WARNING:** Don't reveal this string publically. The `.env` file is NOT private -- unless you're running the proxy locally, you should not use it to store secrets!

### 5. Create a new spreadsheet and share it with the service account
_The service account must be given permission to access the logging spreadsheet. Each service account has a unique email address, which can be found in the JSON key file; share the spreadsheet with that email address just as you would share it with another user._

- Open the JSON key file in a text editor and copy the value of the `client_email` field.
- Open the spreadsheet you want to log to, or create a new one, and click **File > Share**.
- Paste the service account's email address into the **Add people or groups** field. Ensure the service account has **Editor** permissions, then click **Done**.

### 6. Set the spreadsheet ID as a Secret
_The spreadsheet ID must be set as a secret in the proxy's configuration. The spreadsheet ID can be found in the URL of the spreadsheet. For example, the spreadsheet ID for `https://docs.google.com/spreadsheets/d/1X2Y3Z/edit#gid=0` is `1X2Y3Z`.  The ID isn't necessarily a sensitive value if you intend for the spreadsheet to be public, but it's still recommended to set it as a secret._

- Copy the spreadsheet ID and paste it as the value of the `GOOGLE_SHEETS_SPREADSHEET_ID` secret in the deployment's secrets configuration.


code:
# Shat out by GPT-4, I did not check for correctness beyond a cursory glance
openapi: 3.0.0
info:
  version: 1.0.0
  title: User Management API
paths:
  /admin/users:
    get:
      summary: List all users
      operationId: getUsers
      responses:
        "200":
          description: A list of users
          content:
            application/json:
              schema:
                type: object
                properties:
                  users:
                    type: array
                    items:
                      $ref: "#/components/schemas/User"
                  count:
                    type: integer
                    format: int32
    post:
      summary: Create a new user
      operationId: createUser
      responses:
        "200":
          description: The created user's token
          content:
            application/json:
              schema:
                type: object
                properties:
                  token:
                    type: string
    put:
      summary: Bulk upsert users
      operationId: bulkUpsertUsers
      requestBody:
        content:
          application/json:
            schema:
              type: object
              properties:
                users:
                  type: array
                  items:
                    $ref: "#/components/schemas/User"
      responses:
        "200":
          description: The upserted users
          content:
            application/json:
              schema:
                type: object
                properties:
                  upserted_users:
                    type: array
                    items:
                      $ref: "#/components/schemas/User"
                  count:
                    type: integer
                    format: int32
        "400":
          description: Bad request
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string

  /admin/users/{token}:
    get:
      summary: Get a user by token
      operationId: getUser
      parameters:
        - name: token
          in: path
          required: true
          schema:
            type: string
      responses:
        "200":
          description: A user
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
        "404":
          description: Not found
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
    put:
      summary: Update a user by token
      operationId: upsertUser
      parameters:
        - name: token
          in: path
          required: true
          schema:
            type: string
      requestBody:
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/User"
      responses:
        "200":
          description: The updated user
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
        "400":
          description: Bad request
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
    delete:
      summary: Disables the user with the given token
      description: Optionally accepts a `disabledReason` query parameter. Returns the disabled user.
      parameters:
        - in: path
          name: token
          required: true
          schema:
            type: string
          description: The token of the user to disable
        - in: query
          name: disabledReason
          required: false
          schema:
            type: string
          description: The reason for disabling the user
      responses:
        '200':
          description: The disabled user
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/User'
        '400':
          description: Bad request
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
        '404':
          description: Not found
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
components:
  schemas:
    User:
      type: object
      properties:
        token:
          type: string
        ip:
          type: array
          items:
            type: string
        type:
          type: string
          enum: ["normal", "special"]
        promptCount:
          type: integer
          format: int32
        tokenCount:
          type: integer
          format: int32
        createdAt:
          type: integer
          format: int64
        lastUsedAt:
          type: integer
          format: int64
        disabledAt:
          type: integer
          format: int64
        disabledReason:
          type: string


code:
# User Management

The proxy supports several different user management strategies.  You can choose the one that best fits your needs by setting the `GATEKEEPER` environment variable.

Several of these features require you to set secrets in your environment.  If using Huggingface Spaces to deploy, do not set these in your `.env` file because that file is public and anyone can see it.

## Table of Contents
- [No user management](#no-user-management-gatekeepernone)
- [Single-password authentication](#single-password-authentication-gatekeeperproxy_key)
- [Per-user authentication](#per-user-authentication-gatekeeperuser_token)
  - [Memory](#memory)
  - [Firebase Realtime Database](#firebase-realtime-database)
    - [Firebase setup instructions](#firebase-setup-instructions)

## No user management (`GATEKEEPER=none`)

This is the default mode. The proxy will not require any authentication to access the server and offers basic IP-based rate limiting and anti-abuse features.

## Single-password authentication (`GATEKEEPER=proxy_key`)

This mode allows you to set a password that must be passed in the `Authentication` header of every request to the server as a bearer token.  This is useful if you want to restrict access to the server, but don't want to create a separate account for every user.

To set the password, create a `PROXY_KEY` secret in your environment.

## Per-user authentication (`GATEKEEPER=user_token`)

This mode allows you to provision separate Bearer tokens for each user. You can manage users via the /admin/users REST API, which itself requires an admin Bearer token.

To begin, set `ADMIN_KEY` to a secret value.  This will be used to authenticate requests to the /admin/users REST API.

[You can find an OpenAPI specification for the /admin/users REST API here.](openapi-admin-users.yaml)

By default, the proxy will store user data in memory. Naturally, this means that user data will be lost when the proxy is restarted, though you can use the bulk user import/export feature to save and restore user data manually or via a script. However, the proxy also supports persisting user data to an external data store with some additional configuration.

Below are the supported data stores and their configuration options.

### Memory

This is the default data store (`GATEKEEPER_STORE=memory`)  User data will be stored in memory and will be lost when the proxy is restarted. You are responsible for downloading and re-uploading user data via the REST API if you want to persist it.

### Firebase Realtime Database

To use Firebase Realtime Database to persist user data, set the following environment variables:
- `GATEKEEPER_STORE`: Set this to `firebase_rtdb`
- **Secret** `FIREBASE_RTDB_URL`: The URL of your Firebase Realtime Database, e.g. `https://my-project-default-rtdb.firebaseio.com`
- **Secret** `FIREBASE_KEY`: A base-64 encoded service account key for your Firebase project. Refer to the instructions below for how to create this key.

**Firebase setup instructions**

1. Go to the [Firebase console](https://console.firebase.google.com/) and click "Add project", then follow the prompts to create a new project.
2. From the **Project Overview** page, click **All products** in the left sidebar, then click **Realtime Database**.
3. Click **Create database** and choose **Start in test mode**.  Click **Enable**.
    - Test mode is fine for this use case as it still requires authentication to access the database. You may wish to set up more restrictive rules if you plan to use the database for other purposes.
    - The reference URL for the database will be displayed on the page. You will need this later.
4. Click the gear icon next to **Project Overview** in the left sidebar, then click **Project settings**.
5. Click the **Service accounts** tab, then click **Generate new private key**.
6. The downloaded file contains your key. Encode it as base64 and set it as the `FIREBASE_KEY` secret in your environment.
7. Set `FIREBASE_RTDB_URL` to the reference URL of your Firebase Realtime Database, e.g. `https://my-project-default-rtdb.firebaseio.com`.
8. Set `GATEKEEPER_STORE` to `firebase_rtdb` in your environment if you haven't already.

The proxy will attempt to connect to your Firebase Realtime Database at startup and will throw an error if it cannot connect.  If you see this error, check that your `FIREBASE_RTDB_URL` and `FIREBASE_KEY` secrets are set correctly.

---

Users are loaded from the database and changes are flushed periodically.  You can use the PUT /admin/users API to bulk import users and force a flush to the database.


oai-reverse-proxy

license: MIT

acorn: bin/acorn

type: github

type: patreon

type: consulting

type: individual

type: opencollective

esbuild: bin/esbuild

pbjs: bin/pbjs

pbts: bin/pbts

semver: bin/semver

tsc: bin/tsc

tsserver: bin/tsserver

uglifyjs: bin/uglifyjs


description: Reverse proxy for the OpenAI API

build:watch: esbuild src/server.ts --outfile=build/server.js --platform=node --target=es2020 --format=cjs --bundle --sourcemap --watch

build: tsc

start:dev: concurrently "npm run build:watch" "npm run start:watch"

start:dev:tsc: nodemon --watch src --exec ts-node src/server.ts

start:watch: nodemon --require source-map-support/register build/server.js

start:replit: tsc && node build/server.js

start: node build/server.js

type-check: tsc --noEmit


code:
services:
  - type: web
    name: oai-proxy
    env: docker
    repo: https://gitlab.com/khanon/oai-proxy.git
    region: oregon
    plan: free
    branch: main
    healthCheckPath: /health
    dockerfilePath: ./docker/render/Dockerfile


code:
import { RequestHandler, Router } from "express";
import { config } from "../config";
import { usersRouter } from "./users";

const ADMIN_KEY = config.adminKey;
const failedAttempts = new Map<string, number>();

const adminRouter = Router();

const auth: RequestHandler = (req, res, next) => {
  const token = req.headers.authorization?.slice("Bearer ".length);
  const attempts = failedAttempts.get(req.ip) ?? 0;
  if (attempts > 5) {
    req.log.warn(
      { ip: req.ip, token },
      `Blocked request to admin API due to too many failed attempts`
    );
    return res.status(401).json({ error: "Too many attempts" });
  }

  if (token !== ADMIN_KEY) {
    const newAttempts = attempts + 1;
    failedAttempts.set(req.ip, newAttempts);
    req.log.warn(
      { ip: req.ip, attempts: newAttempts, token },
      `Attempted admin API request with invalid token`
    );
    return res.status(401).json({ error: "Unauthorized" });
  }

  next();
};

adminRouter.use(auth);
adminRouter.use("/users", usersRouter);
export { adminRouter };


code:
import { Router } from "express";
import { z } from "zod";
import * as userStore from "../proxy/auth/user-store";

const usersRouter = Router();

const UserSchema = z
  .object({
    ip: z.array(z.string()).optional(),
    type: z.enum(["normal", "special"]).optional(),
    promptCount: z.number().optional(),
    tokenCount: z.number().optional(),
    createdAt: z.number().optional(),
    lastUsedAt: z.number().optional(),
    disabledAt: z.number().optional(),
    disabledReason: z.string().optional(),
  })
  .strict();

const UserSchemaWithToken = UserSchema.extend({
  token: z.string(),
}).strict();

/**
 * Returns a list of all users, sorted by prompt count and then last used time.
 * GET /admin/users
 */
usersRouter.get("/", (_req, res) => {
  const users = userStore.getUsers().sort((a, b) => {
    if (a.promptCount !== b.promptCount) {
      return b.promptCount - a.promptCount;
    }
    return (b.lastUsedAt ?? 0) - (a.lastUsedAt ?? 0);
  });
  res.json({ users, count: users.length });
});

/**
 * Returns the user with the given token.
 * GET /admin/users/:token
 */
usersRouter.get("/:token", (req, res) => {
  const user = userStore.getUser(req.params.token);
  if (!user) {
    return res.status(404).json({ error: "Not found" });
  }
  res.json(user);
});

/**
 * Creates a new user.
 * Returns the created user's token.
 * POST /admin/users
 */
usersRouter.post("/", (_req, res) => {
  res.json({ token: userStore.createUser() });
});

/**
 * Updates the user with the given token, creating them if they don't exist.
 * Accepts a JSON body containing at least one field on the User type.
 * Returns the upserted user.
 * PUT /admin/users/:token
 */
usersRouter.put("/:token", (req, res) => {
  const result = UserSchema.safeParse(req.body);
  if (!result.success) {
    return res.status(400).json({ error: result.error });
  }
  userStore.upsertUser({ ...result.data, token: req.params.token });
  res.json(userStore.getUser(req.params.token));
});

/**
 * Bulk-upserts users given a list of User updates.
 * Accepts a JSON body with the field `users` containing an array of updates.
 * Returns an object containing the upserted users and the number of upserts.
 * PUT /admin/users
 */
usersRouter.put("/", (req, res) => {
  const result = z.array(UserSchemaWithToken).safeParse(req.body.users);
  if (!result.success) {
    return res.status(400).json({ error: result.error });
  }
  const upserts = result.data.map((user) => userStore.upsertUser(user));
  res.json({
    upserted_users: upserts,
    count: upserts.length,
  });
});

/**
 * Disables the user with the given token. Optionally accepts a `disabledReason`
 * query parameter.
 * Returns the disabled user.
 * DELETE /admin/users/:token
 */
usersRouter.delete("/:token", (req, res) => {
  const user = userStore.getUser(req.params.token);
  const disabledReason = z
    .string()
    .optional()
    .safeParse(req.query.disabledReason);
  if (!disabledReason.success) {
    return res.status(400).json({ error: disabledReason.error });
  }
  if (!user) {
    return res.status(404).json({ error: "Not found" });
  }
  userStore.disableUser(req.params.token, disabledReason.data);
  res.json(userStore.getUser(req.params.token));
});

export { usersRouter };


code:
import dotenv from "dotenv";
import type firebase from "firebase-admin";
dotenv.config();

const isDev = process.env.NODE_ENV !== "production";

type PromptLoggingBackend = "google_sheets";
export type DequeueMode = "fair" | "random" | "none";

type Config = {
  /** The port the proxy server will listen on. */
  port: number;
  /** OpenAI API key, either a single key or a comma-delimeted list of keys. */
  openaiKey?: string;
  /**
   * The proxy key to require for requests. Only applicable if the user
   * management mode is set to 'proxy_key', and required if so.
   **/
  proxyKey?: string;
  /**
   * The admin key used to access the /admin API. Required if the user
   * management mode is set to 'user_token'.
   **/
  adminKey?: string;
  /**
   * Which user management mode to use.
   *
   * `none`: No user management. Proxy is open to all requests with basic
   *  abuse protection.
   *
   * `proxy_key`: A specific proxy key must be provided in the Authorization
   *  header to use the proxy.
   *
   * `user_token`: Users must be created via the /admin REST API and provide
   *  their personal access token in the Authorization header to use the proxy.
   *  Configure this function and add users via the /admin API.
   */
  gatekeeper: "none" | "proxy_key" | "user_token";
  /**
   * Persistence layer to use for user management.
   *
   * `memory`: Users are stored in memory and are lost on restart (default)
   *
   * `firebase_rtdb`: Users are stored in a Firebase Realtime Database; requires
   *  `firebaseKey` and `firebaseRtdbUrl` to be set.
   **/
  gatekeeperStore: "memory" | "firebase_rtdb";
  /** URL of the Firebase Realtime Database if using the Firebase RTDB store. */
  firebaseRtdbUrl?: string;
  /** Base64-encoded Firebase service account key if using the Firebase RTDB store. */
  firebaseKey?: string;
  /**
   * Maximum number of IPs per user, after which their token is disabled.
   * Users with the manually-assigned `special` role are exempt from this limit.
   * By default, this is 0, meaning that users are not IP-limited.
   */
  maxIpsPerUser: number;
  /** Per-IP limit for requests per minute to OpenAI's completions endpoint. */
  modelRateLimit: number;
  /** Max number of tokens to generate. Requests which specify a higher value will be rewritten to use this value. */
  maxOutputTokens: number;
  /** Whether requests containing disallowed characters should be rejected. */
  rejectDisallowed?: boolean;
  /** Message to return when rejecting requests. */
  rejectMessage?: string;
  /** Pino log level. */
  logLevel?: "debug" | "info" | "warn" | "error";
  /** Whether prompts and responses should be logged to persistent storage. */
  promptLogging?: boolean;
  /** Which prompt logging backend to use. */
  promptLoggingBackend?: PromptLoggingBackend;
  /** Base64-encoded Google Sheets API key. */
  googleSheetsKey?: string;
  /** Google Sheets spreadsheet ID. */
  googleSheetsSpreadsheetId?: string;
  /** Whether to periodically check keys for usage and validity. */
  checkKeys?: boolean;
  /**
   * How to display quota information on the info page.
   *
   * `none`: Hide quota information
   *
   * `partial`: Display quota information only as a percentage
   *
   * `full`: Display quota information as usage against total capacity
   */
  quotaDisplayMode: "none" | "partial" | "full";
  /**
   * Which request queueing strategy to use when keys are over their rate limit.
   *
   * `fair`: Requests are serviced in the order they were received (default)
   *
   * `random`: Requests are serviced randomly
   *
   * `none`: Requests are not queued and users have to retry manually
   */
  queueMode: DequeueMode;
  /**
   * Comma-separated list of origins to block. Requests matching any of these
   * origins or referers will be rejected.
   * Partial matches are allowed, so `reddit` will match `www.reddit.com`.
   * Include only the hostname, not the protocol or path, e.g:
   *  `reddit.com,9gag.com,gaiaonline.com`
   */
  blockedOrigins?: string;
  /**
   * Message to return when rejecting requests from blocked origins.
   */
  blockMessage?: string;
  /**
   * Desination URL to redirect blocked requests to, for non-JSON requests.
   */
  blockRedirect?: string;
};

// To change configs, create a file called .env in the root directory.
// See .env.example for an example.
export const config: Config = {
  port: getEnvWithDefault("PORT", 7860),
  openaiKey: getEnvWithDefault("OPENAI_KEY", ""),
  proxyKey: getEnvWithDefault("PROXY_KEY", ""),
  adminKey: getEnvWithDefault("ADMIN_KEY", ""),
  gatekeeper: getEnvWithDefault("GATEKEEPER", "none"),
  gatekeeperStore: getEnvWithDefault("GATEKEEPER_STORE", "memory"),
  maxIpsPerUser: getEnvWithDefault("MAX_IPS_PER_USER", 0),
  firebaseRtdbUrl: getEnvWithDefault("FIREBASE_RTDB_URL", undefined),
  firebaseKey: getEnvWithDefault("FIREBASE_KEY", undefined),
  modelRateLimit: getEnvWithDefault("MODEL_RATE_LIMIT", 4),
  maxOutputTokens: getEnvWithDefault("MAX_OUTPUT_TOKENS", 300),
  rejectDisallowed: getEnvWithDefault("REJECT_DISALLOWED", false),
  rejectMessage: getEnvWithDefault(
    "REJECT_MESSAGE",
    "This content violates /aicg/'s acceptable use policy."
  ),
  logLevel: getEnvWithDefault("LOG_LEVEL", "info"),
  checkKeys: getEnvWithDefault("CHECK_KEYS", !isDev),
  quotaDisplayMode: getEnvWithDefault("QUOTA_DISPLAY_MODE", "partial"),
  promptLogging: getEnvWithDefault("PROMPT_LOGGING", false),
  promptLoggingBackend: getEnvWithDefault("PROMPT_LOGGING_BACKEND", undefined),
  googleSheetsKey: getEnvWithDefault("GOOGLE_SHEETS_KEY", undefined),
  googleSheetsSpreadsheetId: getEnvWithDefault(
    "GOOGLE_SHEETS_SPREADSHEET_ID",
    undefined
  ),
  queueMode: getEnvWithDefault("QUEUE_MODE", "fair"),
  blockedOrigins: getEnvWithDefault("BLOCKED_ORIGINS", undefined),
  blockMessage: getEnvWithDefault(
    "BLOCK_MESSAGE",
    "You must be over the age of majority in your country to use this service."
  ),
  blockRedirect: getEnvWithDefault("BLOCK_REDIRECT", "https://www.9gag.com"),
} as const;

/** Prevents the server from starting if config state is invalid. */
export async function assertConfigIsValid() {
  // Ensure gatekeeper mode is valid.
  if (!["none", "proxy_key", "user_token"].includes(config.gatekeeper)) {
    throw new Error(
      `Invalid gatekeeper mode: ${config.gatekeeper}. Must be one of: none, proxy_key, user_token.`
    );
  }

  // Don't allow `user_token` mode without `ADMIN_KEY`.
  if (config.gatekeeper === "user_token" && !config.adminKey) {
    throw new Error(
      "`user_token` gatekeeper mode requires an `ADMIN_KEY` to be set."
    );
  }

  // Don't allow `proxy_key` mode without `PROXY_KEY`.
  if (config.gatekeeper === "proxy_key" && !config.proxyKey) {
    throw new Error(
      "`proxy_key` gatekeeper mode requires a `PROXY_KEY` to be set."
    );
  }

  // Don't allow `PROXY_KEY` to be set for other modes.
  if (config.gatekeeper !== "proxy_key" && config.proxyKey) {
    throw new Error(
      "`PROXY_KEY` is set, but gatekeeper mode is not `proxy_key`. Make sure to set `GATEKEEPER=proxy_key`."
    );
  }

  // Require appropriate firebase config if using firebase store.
  if (
    config.gatekeeperStore === "firebase_rtdb" &&
    (!config.firebaseKey || !config.firebaseRtdbUrl)
  ) {
    throw new Error(
      "Firebase RTDB store requires `FIREBASE_KEY` and `FIREBASE_RTDB_URL` to be set."
    );
  }

  // Ensure forks which add new secret-like config keys don't unwittingly expose
  // them to users.
  for (const key of getKeys(config)) {
    const maybeSensitive = ["key", "credentials", "secret", "password"].some(
      (sensitive) => key.toLowerCase().includes(sensitive)
    );
    const secured = new Set([...SENSITIVE_KEYS, ...OMITTED_KEYS]);
    if (maybeSensitive && !secured.has(key))
      throw new Error(
        `Config key "${key}" may be sensitive but is exposed. Add it to SENSITIVE_KEYS or OMITTED_KEYS.`
      );
  }

  await maybeInitializeFirebase();
}

/**
 * Config keys that are masked on the info page, but not hidden as their
 * presence may be relevant to the user due to privacy implications.
 */
export const SENSITIVE_KEYS: (keyof Config)[] = ["googleSheetsSpreadsheetId"];

/**
 * Config keys that are not displayed on the info page at all, generally because
 * they are not relevant to the user or can be inferred from other config.
 */
export const OMITTED_KEYS: (keyof Config)[] = [
  "port",
  "logLevel",
  "openaiKey",
  "proxyKey",
  "adminKey",
  "checkKeys",
  "quotaDisplayMode",
  "googleSheetsKey",
  "firebaseKey",
  "firebaseRtdbUrl",
  "gatekeeperStore",
  "maxIpsPerUser",
  "blockedOrigins",
  "blockMessage",
  "blockRedirect",
];

const getKeys = Object.keys as <T extends object>(obj: T) => Array<keyof T>;

export function listConfig(): Record<string, string> {
  const result: Record<string, string> = {};
  for (const key of getKeys(config)) {
    const value = config[key]?.toString() || "";

    const shouldOmit =
      OMITTED_KEYS.includes(key) || value === "" || value === "undefined";
    const shouldMask = SENSITIVE_KEYS.includes(key);

    if (shouldOmit) {
      continue;
    }

    if (value && shouldMask) {
      result[key] = "********";
    } else {
      result[key] = value;
    }
  }
  return result;
}

function getEnvWithDefault<T>(name: string, defaultValue: T): T {
  const value = process.env[name];
  if (value === undefined) {
    return defaultValue;
  }
  try {
    if (name === "OPENAI_KEY") {
      return value as unknown as T;
    }
    return JSON.parse(value) as T;
  } catch (err) {
    return value as unknown as T;
  }
}

let firebaseApp: firebase.app.App | undefined;

async function maybeInitializeFirebase() {
  if (!config.gatekeeperStore.startsWith("firebase")) {
    return;
  }

  const firebase = await import("firebase-admin");
  const firebaseKey = Buffer.from(config.firebaseKey!, "base64").toString();
  const app = firebase.initializeApp({
    credential: firebase.credential.cert(JSON.parse(firebaseKey)),
    databaseURL: config.firebaseRtdbUrl,
  });

  await app.database().ref("connection-test").set(Date.now());

  firebaseApp = app;
}

export function getFirebaseApp(): firebase.app.App {
  if (!firebaseApp) {
    throw new Error("Firebase app not initialized.");
  }
  return firebaseApp;
}


code:
import fs from "fs";
import { Request, Response } from "express";
import showdown from "showdown";
import { config, listConfig } from "./config";
import { keyPool } from "./key-management";
import { getUniqueIps } from "./proxy/rate-limit";
import { getEstimatedWaitTime, getQueueLength } from "./proxy/queue";

const INFO_PAGE_TTL = 5000;
let infoPageHtml: string | undefined;
let infoPageLastUpdated = 0;

export const handleInfoPage = (req: Request, res: Response) => {
  if (infoPageLastUpdated + INFO_PAGE_TTL > Date.now()) {
    res.send(infoPageHtml);
    return;
  }

  // Some load balancers/reverse proxies don't give us the right protocol in
  // the host header. Huggingface works this way, Cloudflare does not.
  const host = req.get("host");
  const isHuggingface = host?.includes("hf.space");
  const protocol = isHuggingface ? "https" : req.protocol;
  res.send(cacheInfoPageHtml(protocol + "://" + host));
};

function cacheInfoPageHtml(host: string) {
  const keys = keyPool.list();
  let keyInfo: Record<string, any> = { all: keys.length };

  if (keyPool.anyUnchecked()) {
    const uncheckedKeys = keys.filter((k) => !k.lastChecked);
    keyInfo = {
      ...keyInfo,
      active: keys.filter((k) => !k.isDisabled).length,
      status: `Still checking ${uncheckedKeys.length} keys...`,
    };
  } else if (config.checkKeys) {
    const trialKeys = keys.filter((k) => k.isTrial);
    const turboKeys = keys.filter((k) => !k.isGpt4 && !k.isDisabled);
    const gpt4Keys = keys.filter((k) => k.isGpt4 && !k.isDisabled);

    const quota: Record<string, string> = { turbo: "", gpt4: "" };
    const hasGpt4 = keys.some((k) => k.isGpt4);

    if (config.quotaDisplayMode === "full") {
      quota.turbo = `${keyPool.usageInUsd()} (${Math.round(
        keyPool.remainingQuota() * 100
      )}% remaining)`;
      quota.gpt4 = `${keyPool.usageInUsd(true)} (${Math.round(
        keyPool.remainingQuota(true) * 100
      )}% remaining)`;
    } else {
      quota.turbo = `${Math.round(keyPool.remainingQuota() * 100)}%`;
      quota.gpt4 = `${Math.round(keyPool.remainingQuota(true) * 100)}%`;
    }

    if (!hasGpt4) {
      delete quota.gpt4;
    }

    keyInfo = {
      ...keyInfo,
      trial: trialKeys.length,
      active: {
        turbo: turboKeys.length,
        ...(hasGpt4 ? { gpt4: gpt4Keys.length } : {}),
      },
      ...(config.quotaDisplayMode !== "none" ? { quota: quota } : {}),
    };
  }

  const info = {
    uptime: process.uptime(),
    endpoints: {
      kobold: host,
      openai: host + "/proxy/openai",
    },
    proompts: keys.reduce((acc, k) => acc + k.promptCount, 0),
    ...(config.modelRateLimit ? { proomptersNow: getUniqueIps() } : {}),
    ...getQueueInformation(),
    keys: keyInfo,
    config: listConfig(),
    build: process.env.BUILD_INFO || "dev",
  };

  const title = getServerTitle();
  const headerHtml = buildInfoPageHeader(new showdown.Converter(), title);

  const pageBody = `<!DOCTYPE html>

    <meta charset="utf-8" />
    <meta name="robots" content="noindex" />
    <title>${title}</title>

    ${headerHtml}

Service Info

${JSON.stringify(info, null, 2)}

`;

  infoPageHtml = pageBody;
  infoPageLastUpdated = Date.now();

  return pageBody;
}

/**
 * If the server operator provides a `greeting.md` file, it will be included in
 * the rendered info page.
 **/
function buildInfoPageHeader(converter: showdown.Converter, title: string) {
  const customGreeting = fs.existsSync("greeting.md")
    ? fs.readFileSync("greeting.md", "utf8")
    : null;

  // TODO: use some templating engine instead of this mess

  let infoBody = `
# ${title}`;
  if (config.promptLogging) {
    infoBody += `\n## Prompt logging is enabled!
The server operator has enabled prompt logging. The prompts you send to this proxy and the AI responses you receive may be saved.

Logs are anonymous and do not contain IP addresses or timestamps. [You can see the type of data logged here, along with the rest of the code.](https://gitgud.io/khanon/oai-reverse-proxy/-/blob/main/src/prompt-logging/index.ts).

**If you are uncomfortable with this, don't send prompts to this proxy!**`;
  }

  if (config.queueMode !== "none") {
    const friendlyWaitTime = getQueueInformation().estimatedQueueTime;
    infoBody += `\n### Estimated Wait Time: ${friendlyWaitTime}
Queueing is enabled. If the AI is busy, your prompt will processed when a slot frees up.

**Enable Streaming in your preferred front-end to prevent timeouts while waiting in the queue.**`;
  }

  if (customGreeting) {
    infoBody += `\n## Server Greeting\n
${customGreeting}`;
  }
  return converter.makeHtml(infoBody);
}

/** Returns queue time in seconds, or minutes + seconds if over 60 seconds. */
function getQueueInformation() {
  if (config.queueMode === "none") {
    return {};
  }
  const waitMs = getEstimatedWaitTime();
  const waitTime =
    waitMs < 60000
      ? `${Math.round(waitMs / 1000)}sec`
      : `${Math.round(waitMs / 60000)}min, ${Math.round(
          (waitMs % 60000) / 1000
        )}sec`;
  return {
    proomptersInQueue: getQueueLength(),
    estimatedQueueTime: waitMs > 2000 ? waitTime : "no wait",
  };
}

function getServerTitle() {
  // Use manually set title if available
  if (process.env.SERVER_TITLE) {
    return process.env.SERVER_TITLE;
  }

  // Huggingface
  if (process.env.SPACE_ID) {
    return `${process.env.SPACE_AUTHOR_NAME} / ${process.env.SPACE_TITLE}`;
  }

  // Render
  if (process.env.RENDER) {
    return `Render / ${process.env.RENDER_SERVICE_NAME}`;
  }

  return "OAI Reverse Proxy";
}


code:
import { KeyPool } from "./key-pool";

export type { Key, Model } from "./key-pool";
export const keyPool = new KeyPool();
export { SUPPORTED_MODELS } from "./key-pool";


code:
import axios, { AxiosError } from "axios";
import { Configuration, OpenAIApi } from "openai";
import { logger } from "../logger";
import type { Key, KeyPool } from "./key-pool";

const MIN_CHECK_INTERVAL = 3 * 1000; // 3 seconds
const KEY_CHECK_PERIOD = 5 * 60 * 1000; // 5 minutes

const GET_SUBSCRIPTION_URL =
  "https://api.openai.com/dashboard/billing/subscription";
const GET_USAGE_URL = "https://api.openai.com/dashboard/billing/usage";

type GetSubscriptionResponse = {
  plan: { title: string };
  has_payment_method: boolean;
  soft_limit_usd: number;
  hard_limit_usd: number;
  system_hard_limit_usd: number;
};

type GetUsageResponse = {
  total_usage: number;
};

type OpenAIError = {
  error: { type: string; code: string; param: unknown; message: string };
};

type UpdateFn = typeof KeyPool.prototype.update;

export class KeyChecker {
  private readonly keys: Key[];
  private log = logger.child({ module: "key-checker" });
  private timeout?: NodeJS.Timeout;
  private updateKey: UpdateFn;
  private lastCheck = 0;

  constructor(keys: Key[], updateKey: UpdateFn) {
    this.keys = keys;
    this.updateKey = updateKey;
  }

  public start() {
    this.log.info("Starting key checker...");
    this.scheduleNextCheck();
  }

  public stop() {
    if (this.timeout) {
      clearTimeout(this.timeout);
    }
  }

  /**
   * Schedules the next check. If there are still keys yet to be checked, it
   * will schedule a check immediately for the next unchecked key. Otherwise,
   * it will schedule a check in several minutes for the oldest key.
   **/
  private scheduleNextCheck() {
    const enabledKeys = this.keys.filter((key) => !key.isDisabled);

    if (enabledKeys.length === 0) {
      this.log.warn("All keys are disabled. Key checker stopping.");
      return;
    }

    // Perform startup checks for any keys that haven't been checked yet.
    const uncheckedKeys = enabledKeys.filter((key) => !key.lastChecked);
    if (uncheckedKeys.length > 0) {
      // Check up to 12 keys at once to speed up startup.
      const keysToCheck = uncheckedKeys.slice(0, 12);

      this.log.info(
        {
          key: keysToCheck.map((key) => key.hash),
          remaining: uncheckedKeys.length - keysToCheck.length,
        },
        "Scheduling initial checks for key batch."
      );
      this.timeout = setTimeout(async () => {
        const promises = keysToCheck.map((key) => this.checkKey(key));
        try {
          await Promise.all(promises);
        } catch (error) {
          this.log.error({ error }, "Error checking one or more keys.");
        }
        this.scheduleNextCheck();
      }, 250);
      return;
    }

    // Schedule the next check for the oldest key.
    const oldestKey = enabledKeys.reduce((oldest, key) =>
      key.lastChecked < oldest.lastChecked ? key : oldest
    );

    // Don't check any individual key more than once every 5 minutes.
    // Also, don't check anything more often than once every 3 seconds.
    const nextCheck = Math.max(
      oldestKey.lastChecked + KEY_CHECK_PERIOD,
      this.lastCheck + MIN_CHECK_INTERVAL
    );

    this.log.info(
      { key: oldestKey.hash, nextCheck: new Date(nextCheck) },
      "Scheduling next check."
    );

    const delay = nextCheck - Date.now();
    this.timeout = setTimeout(() => this.checkKey(oldestKey), delay);
  }

  private async checkKey(key: Key) {
    // It's possible this key might have been disabled while we were waiting
    // for the next check.
    if (key.isDisabled) {
      this.log.warn({ key: key.hash }, "Skipping check for disabled key.");
      this.scheduleNextCheck();
      return;
    }

    this.log.info({ key: key.hash }, "Checking key...");
    let isInitialCheck = !key.lastChecked;
    try {
      // During the initial check we need to get the subscription first because
      // trials have different behavior.
      if (isInitialCheck) {
        const subscription = await this.getSubscription(key);
        this.updateKey(key.hash, { isTrial: !subscription.has_payment_method });
        if (key.isTrial) {
          this.log.debug(
            { key: key.hash },
            "Attempting generation on trial key."
          );
          await this.assertCanGenerate(key);
        }
        const [provisionedModels, usage] = await Promise.all([
          this.getProvisionedModels(key),
          this.getUsage(key),
        ]);
        const updates = {
          isGpt4: provisionedModels.gpt4,
          softLimit: subscription.soft_limit_usd,
          hardLimit: subscription.hard_limit_usd,
          systemHardLimit: subscription.system_hard_limit_usd,
          usage,
        };
        this.updateKey(key.hash, updates);
      } else {
        // Don't check provisioned models after the initial check because it's
        // not likely to change.
        const [subscription, usage] = await Promise.all([
          this.getSubscription(key),
          this.getUsage(key),
        ]);
        const updates = {
          softLimit: subscription.soft_limit_usd,
          hardLimit: subscription.hard_limit_usd,
          systemHardLimit: subscription.system_hard_limit_usd,
          usage,
        };
        this.updateKey(key.hash, updates);
      }
      this.log.info(
        { key: key.hash, usage: key.usage, hardLimit: key.hardLimit },
        "Key check complete."
      );
    } catch (error) {
      // touch the key so we don't check it again for a while
      this.updateKey(key.hash, {});
      this.handleAxiosError(key, error as AxiosError);
    }

    this.lastCheck = Date.now();
    // Only enqueue the next check if this wasn't a startup check, since those
    // are batched together elsewhere.
    if (!isInitialCheck) {
      this.scheduleNextCheck();
    }
  }

  private async getProvisionedModels(
    key: Key
  ): Promise<{ turbo: boolean; gpt4: boolean }> {
    const openai = new OpenAIApi(new Configuration({ apiKey: key.key }));
    const models = (await openai.listModels()!).data.data;
    const turbo = models.some(({ id }) => id.startsWith("gpt-3.5"));
    const gpt4 = models.some(({ id }) => id.startsWith("gpt-4"));
    return { turbo, gpt4 };
  }

  private async getSubscription(key: Key) {
    const { data } = await axios.get<GetSubscriptionResponse>(
      GET_SUBSCRIPTION_URL,
      { headers: { Authorization: `Bearer ${key.key}` } }
    );
    return data;
  }

  private async getUsage(key: Key) {
    const querystring = KeyChecker.getUsageQuerystring(key.isTrial);
    const url = `${GET_USAGE_URL}?${querystring}`;
    const { data } = await axios.get<GetUsageResponse>(url, {
      headers: { Authorization: `Bearer ${key.key}` },
    });
    return parseFloat((data.total_usage / 100).toFixed(2));
  }

  private handleAxiosError(key: Key, error: AxiosError) {
    if (error.response && KeyChecker.errorIsOpenAiError(error)) {
      const { status, data } = error.response;
      if (status === 401) {
        this.log.warn(
          { key: key.hash, error: data },
          "Key is invalid or revoked. Disabling key."
        );
        this.updateKey(key.hash, { isDisabled: true });
      } else if (status === 429 && data.error.type === "insufficient_quota") {
        this.log.warn(
          { key: key.hash, isTrial: key.isTrial, error: data },
          "Key is out of quota. Disabling key."
        );
        this.updateKey(key.hash, { isDisabled: true });
      } else {
        this.log.error(
          { key: key.hash, status, error: data },
          "Encountered API error while checking key."
        );
      }
      return;
    }
    this.log.error(
      { key: key.hash, error },
      "Network error while checking key; trying again later."
    );
  }

  /**
   * Trial key usage reporting is inaccurate, so we need to run an actual
   * completion to test them for liveness.
   */
  private async assertCanGenerate(key: Key): Promise<void> {
    const openai = new OpenAIApi(new Configuration({ apiKey: key.key }));
    // This will throw an AxiosError if the key is invalid or out of quota.
    await openai.createChatCompletion({
      model: "gpt-3.5-turbo",
      messages: [{ role: "user", content: "Hello" }],
      max_tokens: 1,
    });
  }

  static getUsageQuerystring(isTrial: boolean) {
    // For paid keys, the limit resets every month, so we can use the first day
    // of the current month.
    // For trial keys, the limit does not reset and we don't know when the key
    // was created, so we use 99 days ago because that's as far back as the API
    // will let us go.

    // End date needs to be set to the beginning of the next day so that we get
    // usage for the current day.

    const today = new Date();
    const startDate = isTrial
      ? new Date(today.getTime() - 99 * 24 * 60 * 60 * 1000)
      : new Date(today.getFullYear(), today.getMonth(), 1);
    const endDate = new Date(today.getTime() + 24 * 60 * 60 * 1000);
    return `start_date=${startDate.toISOString().split("T")[0]}&end_date=${
      endDate.toISOString().split("T")[0]
    }`;
  }

  static errorIsOpenAiError(
    error: AxiosError
  ): error is AxiosError<OpenAIError> {
    const data = error.response?.data as any;
    return data?.error?.type;
  }
}


code:
/* Manages OpenAI API keys. Tracks usage, disables expired keys, and provides
round-robin access to keys. Keys are stored in the OPENAI_KEY environment
variable as a comma-separated list of keys. */
import crypto from "crypto";
import fs from "fs";
import http from "http";
import path from "path";
import { config } from "../config";
import { logger } from "../logger";
import { KeyChecker } from "./key-checker";

// TODO: Made too many assumptions about OpenAI being the only provider and now
// this doesn't really work for Anthropic. Create a Provider interface and
// implement Pool, Checker, and Models for each provider.

export type Model = OpenAIModel | AnthropicModel;
export type OpenAIModel = "gpt-3.5-turbo" | "gpt-4";
export type AnthropicModel = "claude-v1" | "claude-instant-v1";
export const SUPPORTED_MODELS: readonly Model[] = [
  "gpt-3.5-turbo",
  "gpt-4",
  "claude-v1",
  "claude-instant-v1",
] as const;

export type Key = {
  /** The OpenAI API key itself. */
  key: string;
  /** Whether this is a free trial key. These are prioritized over paid keys if they can fulfill the request. */
  isTrial: boolean;
  /** Whether this key has been provisioned for GPT-4. */
  isGpt4: boolean;
  /** Whether this key is currently disabled. We set this if we get a 429 or 401 response from OpenAI. */
  isDisabled: boolean;
  /** Threshold at which a warning email will be sent by OpenAI. */
  softLimit: number;
  /** Threshold at which the key will be disabled because it has reached the user-defined limit. */
  hardLimit: number;
  /** The maximum quota allocated to this key by OpenAI. */
  systemHardLimit: number;
  /** The current usage of this key. */
  usage: number;
  /** The number of prompts that have been sent with this key. */
  promptCount: number;
  /** The time at which this key was last used. */
  lastUsed: number;
  /** The time at which this key was last checked. */
  lastChecked: number;
  /** Key hash for displaying usage in the dashboard. */
  hash: string;
  /** The time at which this key was last rate limited. */
  rateLimitedAt: number;
  /**
   * Last known X-RateLimit-Requests-Reset header from OpenAI, converted to a
   * number.
   * Formatted as a `\d+(m|s)` string denoting the time until the limit resets.
   * Specifically, it seems to indicate the time until the key's quota will be
   * fully restored; the key may be usable before this time as the limit is a
   * rolling window.
   *
   * Requests which return a 429 do not count against the quota.
   *
   * Requests which fail for other reasons (e.g. 401) count against the quota.
   */
  rateLimitRequestsReset: number;
  /**
   * Last known X-RateLimit-Tokens-Reset header from OpenAI, converted to a
   * number.
   * Appears to follow the same format as `rateLimitRequestsReset`.
   *
   * Requests which fail do not count against the quota as they do not consume
   * tokens.
   */
  rateLimitTokensReset: number;
};

export type KeyUpdate = Omit<
  Partial<Key>,
  "key" | "hash" | "lastUsed" | "lastChecked" | "promptCount"
>;

export class KeyPool {
  private keys: Key[] = [];
  private checker?: KeyChecker;
  private log = logger.child({ module: "key-pool" });

  constructor() {
    const keyString = config.openaiKey;
    if (!keyString?.trim()) {
      throw new Error("OPENAI_KEY environment variable is not set");
    }
    let bareKeys: string[];
    bareKeys = keyString.split(",").map((k) => k.trim());
    bareKeys = [...new Set(bareKeys)];
    for (const k of bareKeys) {
      const newKey = {
        key: k,
        isGpt4: false,
        isTrial: false,
        isDisabled: false,
        softLimit: 0,
        hardLimit: 0,
        systemHardLimit: 0,
        usage: 0,
        lastUsed: 0,
        lastChecked: 0,
        promptCount: 0,
        hash: crypto.createHash("sha256").update(k).digest("hex").slice(0, 8),
        rateLimitedAt: 0,
        rateLimitRequestsReset: 0,
        rateLimitTokensReset: 0,
      };
      this.keys.push(newKey);

    }
    this.log.info({ keyCount: this.keys.length }, "Loaded keys");
  }

  public init() {
    if (config.checkKeys) {
      this.checker = new KeyChecker(this.keys, this.update.bind(this));
      this.checker.start();
    }
  }

  /**
   * Returns a list of all keys, with the key field removed.
   * Don't mutate returned keys, use a KeyPool method instead.
   **/
  public list() {
    return this.keys.map((key) => {
      return Object.freeze({
        ...key,
        key: undefined,
      });
    });
  }

  public get(model: Model) {
    const needGpt4 = model.startsWith("gpt-4");
    const availableKeys = this.keys.filter(
      (key) => !key.isDisabled && (!needGpt4 || key.isGpt4)
    );
    if (availableKeys.length === 0) {
      let message = "No keys available. Please add more keys.";
      if (needGpt4) {
        message =
          "No GPT-4 keys available. Please add more keys or select a non-GPT-4 model.";
      }
      throw new Error(message);
    }

    // Select a key, from highest priority to lowest priority:
    // 1. Keys which are not rate limited
    //    a. We can assume any rate limits over a minute ago are expired
    //    b. If all keys were rate limited in the last minute, select the
    //       least recently rate limited key
    // 2. Keys which are trials
    // 3. Keys which have not been used in the longest time

    const now = Date.now();
    const rateLimitThreshold = 60 * 1000;

    const keysByPriority = availableKeys.sort((a, b) => {
      const aRateLimited = now - a.rateLimitedAt < rateLimitThreshold;
      const bRateLimited = now - b.rateLimitedAt < rateLimitThreshold;

      if (aRateLimited && !bRateLimited) return 1;
      if (!aRateLimited && bRateLimited) return -1;
      if (aRateLimited && bRateLimited) {
        return a.rateLimitedAt - b.rateLimitedAt;
      }

      if (a.isTrial && !b.isTrial) return -1;
      if (!a.isTrial && b.isTrial) return 1;

      return a.lastUsed - b.lastUsed;
    });

    const selectedKey = keysByPriority[0];
    selectedKey.lastUsed = Date.now();

    // When a key is selected, we rate-limit it for a brief period of time to
    // prevent the queue processor from immediately flooding it with requests
    // while the initial request is still being processed (which is when we will
    // get new rate limit headers).
    // Instead, we will let a request through every second until the key
    // becomes fully saturated and locked out again.
    selectedKey.rateLimitedAt = Date.now();
    selectedKey.rateLimitRequestsReset = 1000;
    return { ...selectedKey };
  }

  /** Called by the key checker to update key information. */
  public update(keyHash: string, update: KeyUpdate) {
    const keyFromPool = this.keys.find((k) => k.hash === keyHash)!;
    Object.assign(keyFromPool, { ...update, lastChecked: Date.now() });
    // this.writeKeyStatus();
  }

  public disable(key: Key) {
    const keyFromPool = this.keys.find((k) => k.key === key.key)!;
    if (keyFromPool.isDisabled) return;
    keyFromPool.isDisabled = true;
    // If it's disabled just set the usage to the hard limit so it doesn't
    // mess with the aggregate usage.
    keyFromPool.usage = keyFromPool.hardLimit;
    this.log.warn({ key: key.hash }, "Key disabled");
  }

  public available() {
    return this.keys.filter((k) => !k.isDisabled).length;
  }

  public anyUnchecked() {
    return config.checkKeys && this.keys.some((key) => !key.lastChecked);
  }

  /**
   * Given a model, returns the period until a key will be available to service
   * the request, or returns 0 if a key is ready immediately.
   */
  public getLockoutPeriod(model: Model = "gpt-4"): number {
    const needGpt4 = model.startsWith("gpt-4");
    const activeKeys = this.keys.filter(
      (key) => !key.isDisabled && (!needGpt4 || key.isGpt4)
    );

    if (activeKeys.length === 0) {
      // If there are no active keys for this model we can't fulfill requests.
      // We'll return 0 to let the request through and return an error,
      // otherwise the request will be stuck in the queue forever.
      return 0;
    }

    // A key is rate-limited if its `rateLimitedAt` plus the greater of its
    // `rateLimitRequestsReset` and `rateLimitTokensReset` is after the
    // current time.

    // If there are any keys that are not rate-limited, we can fulfill requests.
    const now = Date.now();
    const rateLimitedKeys = activeKeys.filter((key) => {
      const resetTime = Math.max(
        key.rateLimitRequestsReset,
        key.rateLimitTokensReset
      );
      return now < key.rateLimitedAt + resetTime;
    }).length;
    const anyNotRateLimited = rateLimitedKeys < activeKeys.length;

    if (anyNotRateLimited) {
      return 0;
    }

    // If all keys are rate-limited, return the time until the first key is
    // ready.
    const timeUntilFirstReady = Math.min(
      ...activeKeys.map((key) => {
        const resetTime = Math.max(
          key.rateLimitRequestsReset,
          key.rateLimitTokensReset
        );
        return key.rateLimitedAt + resetTime - now;
      })
    );
    return timeUntilFirstReady;
  }

  public markRateLimited(keyHash: string) {
    this.log.warn({ key: keyHash }, "Key rate limited");
    const key = this.keys.find((k) => k.hash === keyHash)!;
    key.rateLimitedAt = Date.now();
  }

  public incrementPrompt(keyHash?: string) {
    if (!keyHash) return;
    const key = this.keys.find((k) => k.hash === keyHash)!;
    key.promptCount++;
  }

  public updateRateLimits(keyHash: string, headers: http.IncomingHttpHeaders) {
    const key = this.keys.find((k) => k.hash === keyHash)!;
    const requestsReset = headers["x-ratelimit-reset-requests"];
    const tokensReset = headers["x-ratelimit-reset-tokens"];

    // Sometimes OpenAI only sends one of the two rate limit headers, it's
    // unclear why.

    if (requestsReset && typeof requestsReset === "string") {
      this.log.info(
        { key: key.hash, requestsReset },
        `Updating rate limit requests reset time`
      );
      key.rateLimitRequestsReset = getResetDurationMillis(requestsReset);
    }

    if (tokensReset && typeof tokensReset === "string") {
      this.log.info(
        { key: key.hash, tokensReset },
        `Updating rate limit tokens reset time`
      );
      key.rateLimitTokensReset = getResetDurationMillis(tokensReset);
    }

    if (!requestsReset && !tokensReset) {
      this.log.warn(
        { key: key.hash },
        `No rate limit headers in OpenAI response; skipping update`
      );
      return;
    }
  }

  /** Returns the remaining aggregate quota for all keys as a percentage. */
  public remainingQuota(gpt4 = false) {
    const keys = this.keys.filter((k) => k.isGpt4 === gpt4);
    if (keys.length === 0) return 0;

    const totalUsage = keys.reduce((acc, key) => {
      // Keys can slightly exceed their quota
      return acc + Math.min(key.usage, key.hardLimit);
    }, 0);
    const totalLimit = keys.reduce((acc, { hardLimit }) => acc + hardLimit, 0);

    return 1 - totalUsage / totalLimit;
  }

  /** Returns used and available usage in USD. */
  public usageInUsd(gpt4 = false) {
    const keys = this.keys.filter((k) => k.isGpt4 === gpt4);
    if (keys.length === 0) return "???";

    const totalHardLimit = keys.reduce(
      (acc, { hardLimit }) => acc + hardLimit,
      0
    );
    const totalUsage = keys.reduce((acc, key) => {
      // Keys can slightly exceed their quota
      return acc + Math.min(key.usage, key.hardLimit);
    }, 0);

    return `$${totalUsage.toFixed(2)} / $${totalHardLimit.toFixed(2)}`;
  }

  /** Writes key status to disk. */
  // public writeKeyStatus() {
  //   const keys = this.keys.map((key) => ({
  //     key: key.key,
  //     isGpt4: key.isGpt4,
  //     usage: key.usage,
  //     hardLimit: key.hardLimit,
  //     isDisabled: key.isDisabled,
  //   }));
  //   fs.writeFileSync(
  //     path.join(__dirname, "..", "keys.json"),
  //     JSON.stringify(keys, null, 2)
  //   );
  // }
}

/**
 * Converts reset string ("21.0032s" or "21ms") to a number of milliseconds.
 * Result is clamped to 10s even though the API returns up to 60s, because the
 * API returns the time until the entire quota is reset, even if a key may be
 * able to fulfill requests before then due to partial resets.
 **/
function getResetDurationMillis(resetDuration?: string): number {
  const match = resetDuration?.match(/(\d+(\.\d+)?)(s|ms)/);
  if (match) {
    const [, time, , unit] = match;
    const value = parseFloat(time);
    const result = unit === "s" ? value * 1000 : value;
    return Math.min(result, 10000);
  }
  return 0;
}


code:
import pino from "pino";
import { config } from "./config";

export const logger = pino({
  level: config.logLevel,
});


code: export * as sheets from "./sheets";


code:
/* Google Sheets backend for prompt logger.  Upon every flush, this backend
writes the batch to a Sheets spreadsheet. If the sheet becomes too large, it
will create a new sheet and continue writing there.

This is essentially a really shitty ORM for Sheets. Absolutely no concurrency
support because it relies on local state to match up with the remote state. */

import { google, sheets_v4 } from "googleapis";
import type { CredentialBody } from "google-auth-library";
import type { GaxiosResponse } from "googleapis-common";
import { config } from "../../config";
import { logger } from "../../logger";
import { PromptLogEntry } from "..";

// There is always a sheet called __index__ which contains a list of all the
// other sheets. We use this rather than iterating over all the sheets in case
// the user needs to manually work with the spreadsheet.
// If no __index__ sheet exists, we will assume that the spreadsheet is empty
// and create one.

type IndexSheetModel = {
  /**
   * Stored in cell B2. Set on startup; if it changes, we assume that another
   * instance of the proxy is writing to the spreadsheet and stop.
   */
  lockId: string;
  /**
   * Data starts at row 4. Row 1-3 are headers
   */
  rows: { logSheetName: string; createdAt: string; rowCount: number }[];
};

type LogSheetModel = {
  sheetName: string;
  rows: {
    model: string;
    endpoint: string;
    promptRaw: string;
    promptFlattened: string;
    response: string;
  }[];
};

const MAX_ROWS_PER_SHEET = 2000;
const log = logger.child({ module: "sheets" });

let sheetsClient: sheets_v4.Sheets | null = null;
/** Called when log backend aborts to tell the log queue to stop. */
let stopCallback: (() => void) | null = null;
/** Lock/synchronization ID for this session. */
let lockId = Math.random().toString(36).substring(2, 15);
/** In-memory cache of the index sheet. */
let indexSheet: IndexSheetModel | null = null;
/** In-memory cache of the active log sheet. */
let activeLogSheet: LogSheetModel | null = null;

/**
 * Loads the __index__ sheet into memory. By default, asserts that the lock ID
 * has not changed since the start of the session.
 */
const loadIndexSheet = async (assertLockId = true) => {
  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;
  log.info({ assertLockId }, "Loading __index__ sheet.");
  const res = await client.spreadsheets.values.get({
    spreadsheetId: spreadsheetId,
    range: "__index__!A1:D",
    majorDimension: "ROWS",
  });
  const data = assertData(res);
  if (!data.values || data.values[2][0] !== "logSheetName") {
    log.error({ values: data.values }, "Unexpected format for __index__ sheet");
    throw new Error("Unexpected format for __index__ sheet");
  }

  if (assertLockId) {
    const lockIdCell = data.values[1][1];
    if (lockIdCell !== lockId) {
      log.error(
        { receivedLock: lockIdCell, expectedLock: lockId },
        "Another instance of the proxy is writing to the spreadsheet; stopping."
      );
      stop();
      throw new Error(`Lock ID assertion failed`);
    }
  }

  const rows = data.values.slice(3).map((row) => {
    return {
      logSheetName: row[0],
      createdAt: row[1],
      rowCount: row[2],
    };
  });
  indexSheet = { lockId, rows };
};

/** Creates empty __index__ sheet for a new spreadsheet. */
const createIndexSheet = async () => {
  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;
  log.info("Creating empty __index__ sheet.");
  const res = await client.spreadsheets.batchUpdate({
    spreadsheetId: spreadsheetId,
    requestBody: {
      requests: [
        {
          addSheet: {
            properties: {
              title: "__index__",
              gridProperties: { rowCount: 1, columnCount: 3 },
            },
          },
        },
      ],
    },
  });
  assertData(res);
  indexSheet = { lockId, rows: [] };
  await writeIndexSheet();
};

/** Writes contents of in-memory indexSheet to the remote __index__ sheet. */
const writeIndexSheet = async () => {
  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;
  const headerRows = [
    ["Don't edit this sheet while the server is running.", "", ""],
    ["Lock ID", lockId, ""],
    ["logSheetName", "createdAt", "rowCount"],
  ];
  const contentRows = indexSheet!.rows.map((row) => {
    return [row.logSheetName, row.createdAt, row.rowCount];
  });
  log.info("Persisting __index__ sheet.");
  await client.spreadsheets.values.batchUpdate({
    spreadsheetId: spreadsheetId,
    requestBody: {
      valueInputOption: "RAW",
      data: [
        { range: "__index__!A1:D", values: [...headerRows, ...contentRows] },
      ],
    },
  });
};

/** Creates a new log sheet, adds it to the index, and sets it as active. */
const createLogSheet = async () => {
  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;
  // Sheet name format is Log_YYYYMMDD_HHMMSS
  const sheetName = `Log_${new Date()
    .toISOString()
    // YYYY-MM-DDTHH:MM:SS.sssZ -> YYYYMMDD_HHMMSS
    .replace(/[-:.]/g, "")
    .replace(/T/, "_")
    .substring(0, 15)}`;

  log.info({ sheetName }, "Creating new log sheet.");
  const res = await client.spreadsheets.batchUpdate({
    spreadsheetId: spreadsheetId,
    requestBody: {
      requests: [
        {
          addSheet: {
            properties: {
              title: sheetName,
              gridProperties: { rowCount: MAX_ROWS_PER_SHEET, columnCount: 5 },
            },
          },
        },
      ],
    },
  });
  assertData(res);
  // Increase row/column size and wrap text for readability.
  const sheetId = res.data.replies![0].addSheet!.properties!.sheetId;
  await client.spreadsheets.batchUpdate({
    spreadsheetId: spreadsheetId,
    requestBody: {
      requests: [
        {
          repeatCell: {
            range: { sheetId },
            cell: {
              userEnteredFormat: {
                wrapStrategy: "WRAP",
                verticalAlignment: "TOP",
              },
            },
            fields: "*",
          },
        },
        {
          updateDimensionProperties: {
            range: {
              sheetId,
              dimension: "COLUMNS",
              startIndex: 3,
              endIndex: 5,
            },
            properties: { pixelSize: 500 },
            fields: "pixelSize",
          },
        },
        {
          updateDimensionProperties: {
            range: {
              sheetId,
              dimension: "ROWS",
              startIndex: 1,
            },
            properties: { pixelSize: 200 },
            fields: "pixelSize",
          },
        },
      ],
    },
  });
  await client.spreadsheets.values.batchUpdate({
    spreadsheetId: spreadsheetId,
    requestBody: {
      valueInputOption: "RAW",
      data: [
        {
          range: `${sheetName}!A1:E`,
          values: [
            ["model", "endpoint", "prompt json", "prompt string", "response"],
          ],
        },
      ],
    },
  });
  indexSheet!.rows.push({
    logSheetName: sheetName,
    createdAt: new Date().toISOString(),
    rowCount: 0,
  });
  await writeIndexSheet();
  activeLogSheet = { sheetName, rows: [] };
};

export const appendBatch = async (batch: PromptLogEntry[]) => {
  if (!activeLogSheet) {
    // Create a new log sheet if we don't have one yet.
    await createLogSheet();
  } else {
    // Check lock to ensure we're the only instance writing to the spreadsheet.
    await loadIndexSheet(true);
  }

  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;
  const sheetName = activeLogSheet!.sheetName;
  const newRows = batch.map((entry) => {
    return [
      entry.model,
      entry.endpoint,
      entry.promptRaw,
      entry.promptFlattened,
      entry.response,
    ];
  });
  log.info({ sheetName, rowCount: newRows.length }, "Appending log batch.");
  const data = await client.spreadsheets.values.append({
    spreadsheetId: spreadsheetId,
    range: `${sheetName}!A1:D`,
    valueInputOption: "RAW",
    requestBody: { values: newRows, majorDimension: "ROWS" },
  });
  assertData(data);
  if (data.data.updates && data.data.updates.updatedRows) {
    const newRowCount = data.data.updates.updatedRows;
    log.info({ sheetName, rowCount: newRowCount }, "Successfully appended.");
    activeLogSheet!.rows = activeLogSheet!.rows.concat(
      newRows.map((row) => ({
        model: row[0],
        endpoint: row[1],
        promptRaw: row[2],
        promptFlattened: row[3],
        response: row[4],
      }))
    );
  } else {
    // We didn't receive an error but we didn't get any updates either.
    // We may need to create a new sheet and throw to make the queue retry the
    // batch.
    log.warn(
      { sheetName, rowCount: newRows.length },
      "No updates received from append. Creating new sheet and retrying."
    );
    await createLogSheet();
    throw new Error("No updates received from append.");
  }
  await finalizeBatch();
};

const finalizeBatch = async () => {
  const sheetName = activeLogSheet!.sheetName;
  const rowCount = activeLogSheet!.rows.length;
  const indexRow = indexSheet!.rows.find(
    ({ logSheetName }) => logSheetName === sheetName
  )!;
  indexRow.rowCount = rowCount;
  if (rowCount >= MAX_ROWS_PER_SHEET) {
    await createLogSheet(); // Also updates index sheet
  } else {
    await writeIndexSheet();
  }
  log.info({ sheetName, rowCount }, "Batch finalized.");
};

type LoadLogSheetArgs = {
  sheetName: string;
  /** The starting row to load. If omitted, loads all rows (expensive). */
  fromRow?: number;
};

/** Not currently used. */
export const loadLogSheet = async ({
  sheetName,
  fromRow = 2, // omit header row
}: LoadLogSheetArgs) => {
  const client = sheetsClient!;
  const spreadsheetId = config.googleSheetsSpreadsheetId!;

  const range = `${sheetName}!A${fromRow}:E`;
  const res = await client.spreadsheets.values.get({
    spreadsheetId: spreadsheetId,
    range,
  });
  const data = assertData(res);
  const values = data.values || [];
  const rows = values.slice(1).map((row) => {
    return {
      model: row[0],
      endpoint: row[1],
      promptRaw: row[2],
      promptFlattened: row[3],
      response: row[4],
    };
  });
  activeLogSheet = { sheetName, rows };
};

export const init = async (onStop: () => void) => {
  if (sheetsClient) {
    return;
  }
  if (!config.googleSheetsKey || !config.googleSheetsSpreadsheetId) {
    throw new Error(
      "Missing required Google Sheets config. Refer to documentation for setup instructions."
    );
  }

  log.info("Initializing Google Sheets backend.");
  const encodedCreds = config.googleSheetsKey;
  // encodedCreds is a base64-encoded JSON key from the GCP console.
  const creds: CredentialBody = JSON.parse(
    Buffer.from(encodedCreds, "base64").toString("utf8").trim()
  );
  const auth = new google.auth.GoogleAuth({
    scopes: ["https://www.googleapis.com/auth/spreadsheets"],
    credentials: creds,
  });
  sheetsClient = google.sheets({ version: "v4", auth });
  stopCallback = onStop;

  const sheetId = config.googleSheetsSpreadsheetId;
  const res = await sheetsClient.spreadsheets.get({
    spreadsheetId: sheetId,
  });
  if (!res.data) {
    const { status, statusText, headers } = res;
    log.error(
      {
        res: { status, statusText, headers },
        creds: {
          client_email: creds.client_email?.slice(0, 5) + "********",
          private_key: creds.private_key?.slice(0, 5) + "********",
        },
        sheetId: config.googleSheetsSpreadsheetId,
      },
      "Could not connect to Google Sheets."
    );
    stop();
    throw new Error("Could not connect to Google Sheets.");
  } else {
    const sheetTitle = res.data.properties?.title;
    log.info({ sheetId, sheetTitle }, "Connected to Google Sheets.");
  }

  // Load or create the index sheet and write the lockId to it.
  try {
    log.info("Loading index sheet.");
    await loadIndexSheet(false);
    await writeIndexSheet();
  } catch (e) {
    log.info("Creating new index sheet.");
    await createIndexSheet();
  }
};

/** Called during some unrecoverable error to tell the log queue to stop. */
function stop() {
  log.warn("Stopping Google Sheets backend.");
  if (stopCallback) {
    stopCallback();
  }
  sheetsClient = null;
}

function assertData<T = sheets_v4.Schema$ValueRange>(res: GaxiosResponse<T>) {
  if (!res.data) {
    const { status, statusText, headers } = res;
    log.error(
      { res: { status, statusText, headers } },
      "Unexpected response from Google Sheets API."
    );
  }
  return res.data!;
}


code:
/* Logs prompts and model responses to a persistent storage backend, if enabled.
Since the proxy is generally deployed to free-tier services, our options for
persistent storage are pretty limited. We'll use Google Sheets as a makeshift
database for now.

Due to the limitations of Google Sheets, we'll queue up log entries and flush
them to the API periodically. */

export interface PromptLogEntry {
  model: string;
  endpoint: string;
  /** JSON prompt passed to the model */
  promptRaw: string;
  /** Prompt with user and assistant messages flattened into a single string */
  promptFlattened: string;
  response: string;
  // TODO: temperature, top_p, top_k, etc.
}

export * as logQueue from "./log-queue";


code:
/* Queues incoming prompts/responses and periodically flushes them to configured
 * logging backend. */

import { logger } from "../logger";
import { PromptLogEntry } from ".";
import { sheets } from "./backends";

const FLUSH_INTERVAL = 1000 * 20; // 20 seconds
const MAX_BATCH_SIZE = 100;

const queue: PromptLogEntry[] = [];
const log = logger.child({ module: "log-queue" });

let started = false;
let timeoutId: NodeJS.Timeout | null = null;
let retrying = false;
let failedBatchCount = 0;

export const enqueue = (payload: PromptLogEntry) => {
  if (!started) {
    log.warn("Log queue not started, discarding incoming log entry.");
    return;
  }
  queue.push(payload);
};

export const flush = async () => {
  if (!started) {
    return;
  }

  if (queue.length > 0) {
    const batchSize = Math.min(MAX_BATCH_SIZE, queue.length);
    const nextBatch = queue.splice(0, batchSize);
    log.info({ size: nextBatch.length }, "Submitting new batch.");
    try {
      await sheets.appendBatch(nextBatch);
      retrying = false;
    } catch (e: any) {
      if (retrying) {
        log.error(
          { message: e.message, stack: e.stack },
          "Failed twice to flush batch, discarding."
        );
        retrying = false;
        failedBatchCount++;
      } else {
        // Put the batch back at the front of the queue and try again
        log.warn(
          { message: e.message, stack: e.stack },
          "Failed to flush batch. Retrying."
        );
        queue.unshift(...nextBatch);
        retrying = true;
        setImmediate(() => flush());
        return;
      }
    }
  }

  const useHalfInterval = queue.length > MAX_BATCH_SIZE / 2;
  scheduleFlush(useHalfInterval);
};

export const start = async () => {
  try {
    await sheets.init(() => stop());
    log.info("Logging backend initialized.");
    started = true;
  } catch (e) {
    log.error(e, "Could not initialize logging backend.");
    return;
  }
  scheduleFlush();
};

export const stop = () => {
  if (timeoutId) {
    clearTimeout(timeoutId);
  }
  log.info("Stopping log queue.");
  started = false;
};

const scheduleFlush = (halfInterval = false) => {
  if (failedBatchCount > 5) {
    log.error(
      { failedBatchCount },
      "Too many failed batches. Stopping prompt logging."
    );
    stop();
    return;
  }

  if (halfInterval) {
    log.warn(
      { queueSize: queue.length },
      "Queue is falling behind, switching to faster flush interval."
    );
  }

  timeoutId = setTimeout(
    () => {
      flush();
    },
    halfInterval ? FLUSH_INTERVAL / 2 : FLUSH_INTERVAL
  );
};


code:
import type { RequestHandler } from "express";
import { config } from "../../config";
import { authenticate, getUser } from "./user-store";

const GATEKEEPER = config.gatekeeper;
const PROXY_KEY = config.proxyKey;
const ADMIN_KEY = config.adminKey;

export const gatekeeper: RequestHandler = (req, res, next) => {
  const token = req.headers.authorization?.slice("Bearer ".length);
  delete req.headers.authorization;

  // TODO: Generate anonymous users based on IP address for public or proxy_key
  // modes so that all middleware can assume a user of some sort is present.

  if (token === ADMIN_KEY) {
    return next();
  }

  if (GATEKEEPER === "none") {
    return next();
  }

  if (GATEKEEPER === "proxy_key" && token === PROXY_KEY) {
    return next();
  }

  if (GATEKEEPER === "user_token" && token) {
    const user = authenticate(token, req.ip);
    if (user) {
      req.user = user;
      return next();
    } else {
      const maybeBannedUser = getUser(token);
      if (maybeBannedUser?.disabledAt) {
        return res.status(403).json({
          error: `Forbidden: ${
            maybeBannedUser.disabledReason || "Token disabled"
          }`,
        });
      }
    }
  }

  res.status(401).json({ error: "Unauthorized" });
};


code:
/**
 * Basic user management. Handles creation and tracking of proxy users, personal
 * access tokens, and quota management. Supports in-memory and Firebase Realtime
 * Database persistence stores.
 *
 * Users are identified solely by their personal access token. The token is
 * used to authenticate the user for all proxied requests.
 */

import admin from "firebase-admin";
import { v4 as uuid } from "uuid";
import { config, getFirebaseApp } from "../../config";
import { logger } from "../../logger";

export interface User {
  /** The user's personal access token. */
  token: string;
  /** The IP addresses the user has connected from. */
  ip: string[];
  /** The user's privilege level. */
  type: UserType;
  /** The number of prompts the user has made. */
  promptCount: number;
  /** The number of tokens the user has consumed. Not yet implemented. */
  tokenCount: number;
  /** The time at which the user was created. */
  createdAt: number;
  /** The time at which the user last connected. */
  lastUsedAt?: number;
  /** The time at which the user was disabled, if applicable. */
  disabledAt?: number;
  /** The reason for which the user was disabled, if applicable. */
  disabledReason?: string;
}

/**
 * Possible privilege levels for a user.
 * - `normal`: Default role. Subject to usual rate limits and quotas.
 * - `special`: Special role. Higher quotas and exempt from auto-ban/lockout.
 * TODO: implement auto-ban/lockout for normal users when they do naughty shit
 */
export type UserType = "normal" | "special";

type UserUpdate = Partial<User> & Pick<User, "token">;

const MAX_IPS_PER_USER = config.maxIpsPerUser;

const users: Map<string, User> = new Map();
const usersToFlush = new Set<string>();

export async function init() {
  logger.info({ store: config.gatekeeperStore }, "Initializing user store...");
  if (config.gatekeeperStore === "firebase_rtdb") {
    await initFirebase();
  }
  logger.info("User store initialized.");
}

/** Creates a new user and returns their token. */
export function createUser() {
  const token = uuid();
  users.set(token, {
    token,
    ip: [],
    type: "normal",
    promptCount: 0,
    tokenCount: 0,
    createdAt: Date.now(),
  });
  usersToFlush.add(token);
  return token;
}

/** Returns the user with the given token if they exist. */
export function getUser(token: string) {
  return users.get(token);
}

/** Returns a list of all users. */
export function getUsers() {
  return Array.from(users.values()).map((user) => ({ ...user }));
}

/**
 * Upserts the given user. Intended for use with the /admin API for updating
 * user information via JSON. Use other functions for more specific operations.
 */
export function upsertUser(user: UserUpdate) {
  const existing: User = users.get(user.token) ?? {
    token: user.token,
    ip: [],
    type: "normal",
    promptCount: 0,
    tokenCount: 0,
    createdAt: Date.now(),
  };

  users.set(user.token, {
    ...existing,
    ...user,
  });
  usersToFlush.add(user.token);

  // Immediately schedule a flush to the database if we're using Firebase.
  if (config.gatekeeperStore === "firebase_rtdb") {
    setImmediate(flushUsers);
  }

  return users.get(user.token);
}

/** Increments the prompt count for the given user. */
export function incrementPromptCount(token: string) {
  const user = users.get(token);
  if (!user) return;
  user.promptCount++;
  usersToFlush.add(token);
}

/** Increments the token count for the given user by the given amount. */
export function incrementTokenCount(token: string, amount = 1) {
  const user = users.get(token);
  if (!user) return;
  user.tokenCount += amount;
  usersToFlush.add(token);
}

/**
 * Given a user's token and IP address, authenticates the user and adds the IP
 * to the user's list of IPs. Returns the user if they exist and are not
 * disabled, otherwise returns undefined.
 */
export function authenticate(token: string, ip: string) {
  const user = users.get(token);
  if (!user || user.disabledAt) return;
  if (!user.ip.includes(ip)) user.ip.push(ip);

  // If too many IPs are associated with the user, disable the account.
  const ipLimit =
    user.type === "special" || !MAX_IPS_PER_USER ? Infinity : MAX_IPS_PER_USER;
  if (user.ip.length > ipLimit) {
    disableUser(token, "Too many IP addresses associated with this token.");
    return;
  }

  user.lastUsedAt = Date.now();
  usersToFlush.add(token);
  return user;
}

/** Disables the given user, optionally providing a reason. */
export function disableUser(token: string, reason?: string) {
  const user = users.get(token);
  if (!user) return;
  user.disabledAt = Date.now();
  user.disabledReason = reason;
  usersToFlush.add(token);
}

// TODO: Firebase persistence is pretend right now and just polls the in-memory
// store to sync it with Firebase when it changes. Will refactor to abstract
// persistence layer later so we can support multiple stores.
let firebaseTimeout: NodeJS.Timeout | undefined;

async function initFirebase() {
  logger.info("Connecting to Firebase...");
  const app = getFirebaseApp();
  const db = admin.database(app);
  const usersRef = db.ref("users");
  const snapshot = await usersRef.once("value");
  const users: Record<string, User> | null = snapshot.val();
  firebaseTimeout = setInterval(flushUsers, 20 * 1000);
  if (!users) {
    logger.info("No users found in Firebase.");
    return;
  }
  for (const token in users) {
    upsertUser(users[token]);
  }
  usersToFlush.clear();
  const numUsers = Object.keys(users).length;
  logger.info({ users: numUsers }, "Loaded users from Firebase");
}

async function flushUsers() {
  const app = getFirebaseApp();
  const db = admin.database(app);
  const usersRef = db.ref("users");
  const updates: Record<string, User> = {};

  for (const token of usersToFlush) {
    const user = users.get(token);
    if (!user) {
      continue;
    }
    updates[token] = user;
  }

  usersToFlush.clear();

  const numUpdates = Object.keys(updates).length;
  if (numUpdates === 0) {
    return;
  }

  await usersRef.update(updates);
  logger.info(
    { users: Object.keys(updates).length },
    "Flushed users to Firebase"
  );
}


code:
import { config } from "../config";
import { RequestHandler } from "express";

const BLOCKED_REFERERS = config.blockedOrigins?.split(",") || [];

/** Disallow requests from blocked origins and referers. */
export const checkOrigin: RequestHandler = (req, res, next) => {
  const blocks = BLOCKED_REFERERS || [];
  for (const block of blocks) {
    if (
      req.headers.origin?.includes(block) ||
      req.headers.referer?.includes(block)
    ) {
      req.log.warn(
        { origin: req.headers.origin, referer: req.headers.referer },
        "Blocked request from origin or referer"
      );

      // VenusAI requests incorrectly say they accept HTML despite immediately
      // trying to parse the response as JSON, so we check the body type instead
      const hasJsonBody =
        req.headers["content-type"]?.includes("application/json");
      if (!req.accepts("html") || hasJsonBody) {
        return res.status(403).json({
          error: { type: "blocked_origin", message: config.blockMessage },
        });
      } else {
        const destination = config.blockRedirect || "https://openai.com";
        return res.status(403).send(
          `

  <title>Redirecting</title>
  <meta http-equiv="refresh" content="3; url=${destination}" />

${config.blockMessage}

Please hold while you are redirected to a more suitable service.

`
        );
      }
    }
  }
  next();
};


code:
/* Pretends to be a KoboldAI API endpoint and translates incoming Kobold
requests to OpenAI API equivalents. */

import { Request, Response, Router } from "express";
import http from "http";
import { createProxyMiddleware } from "http-proxy-middleware";
import { config } from "../config";
import { logger } from "../logger";
import { ipLimiter } from "./rate-limit";
import {
  addKey,
  checkStreaming,
  finalizeBody,
  languageFilter,
  limitOutputTokens,
  transformKoboldPayload,
} from "./middleware/request";
import {
  createOnProxyResHandler,
  handleInternalError,
  ProxyResHandlerWithBody,
} from "./middleware/response";

export const handleModelRequest = (_req: Request, res: Response) => {
  res.status(200).json({ result: "Connected to OpenAI reverse proxy" });
};

export const handleSoftPromptsRequest = (_req: Request, res: Response) => {
  res.status(200).json({ soft_prompts_list: [] });
};

const rewriteRequest = (
  proxyReq: http.ClientRequest,
  req: Request,
  res: Response
) => {
  if (config.queueMode !== "none") {
    const msg = `Queueing is enabled on this proxy instance and is incompatible with the KoboldAI endpoint. Use the OpenAI endpoint instead.`;
    proxyReq.destroy(new Error(msg));
    return;
  }

  req.api = "kobold";
  const rewriterPipeline = [
    addKey,
    transformKoboldPayload,
    languageFilter,
    checkStreaming,
    limitOutputTokens,
    finalizeBody,
  ];

  try {
    for (const rewriter of rewriterPipeline) {
      rewriter(proxyReq, req, res, {});
    }
  } catch (error) {
    logger.error(error, "Error while executing proxy rewriter");
    proxyReq.destroy(error as Error);
  }
};

const koboldResponseHandler: ProxyResHandlerWithBody = async (
  _proxyRes,
  req,
  res,
  body
) => {
  if (typeof body !== "object") {
    throw new Error("Expected body to be an object");
  }

  const koboldResponse = {
    results: [{ text: body.choices[0].message.content }],
    model: body.model,
    ...(config.promptLogging && {
      proxy_note: `Prompt logging is enabled on this proxy instance. See ${req.get(
        "host"
      )} for more information.`,
    }),
  };

  res.send(JSON.stringify(koboldResponse));
};

const koboldOaiProxy = createProxyMiddleware({
  target: "https://api.openai.com",
  changeOrigin: true,
  pathRewrite: {
    "^/api/v1/generate": "/v1/chat/completions",
  },
  on: {
    proxyReq: rewriteRequest,
    proxyRes: createOnProxyResHandler([koboldResponseHandler]),
    error: handleInternalError,
  },
  selfHandleResponse: true,
  logger,
});

const koboldRouter = Router();
koboldRouter.get("/api/v1/model", handleModelRequest);
koboldRouter.get("/api/v1/config/soft_prompts_list", handleSoftPromptsRequest);
koboldRouter.post("/api/v1/generate", ipLimiter, koboldOaiProxy);
koboldRouter.use((req, res) => {
  logger.warn(`Unhandled kobold request: ${req.method} ${req.path}`);
  res.status(404).json({ error: "Not found" });
});

export const kobold = koboldRouter;


code:
import { Key, Model, keyPool, SUPPORTED_MODELS } from "../../../key-management";
import type { ExpressHttpProxyReqCallback } from ".";

/** Add an OpenAI key from the pool to the request. */
export const addKey: ExpressHttpProxyReqCallback = (proxyReq, req) => {
  let assignedKey: Key;

  // Not all clients request a particular model.
  // If they request a model, just use that.
  // If they don't request a model, use a GPT-4 key if there is an active one,
  // otherwise use a GPT-3.5 key.

  // TODO: Anthropic mode should prioritize Claude over Claude Instant.
  // Each provider needs to define some priority order for their models.

  if (bodyHasModel(req.body)) {
    assignedKey = keyPool.get(req.body.model);
  } else {
    try {
      assignedKey = keyPool.get("gpt-4");
    } catch {
      assignedKey = keyPool.get("gpt-3.5-turbo");
    }
  }
  req.key = assignedKey;
  req.log.info(
    {
      key: assignedKey.hash,
      model: req.body?.model,
      isGpt4: assignedKey.isGpt4,
    },
    "Assigned key to request"
  );

  // TODO: Requests to Anthropic models use `X-API-Key`.
  proxyReq.setHeader("Authorization", `Bearer ${assignedKey.key}`);
};

function bodyHasModel(body: any): body is { model: Model } {
  // Model names can have suffixes indicating the frozen release version but
  // OpenAI and Anthropic will use the latest version if you omit the suffix.
  const isSupportedModel = (model: string) =>
    SUPPORTED_MODELS.some((supported) => model.startsWith(supported));
  return typeof body?.model === "string" && isSupportedModel(body.model);
}


code:
import { ExpressHttpProxyReqCallback, isCompletionRequest } from ".";

/**
 * If a stream is requested, mark the request as such so the response middleware
 * knows to use the alternate EventSource response handler.
 * Kobold requests can't currently be streamed as they use a different event
 * format than the OpenAI API and we need to rewrite the events as they come in,
 * which I have not yet implemented.
 */
export const checkStreaming: ExpressHttpProxyReqCallback = (_proxyReq, req) => {
  const streamableApi = req.api !== "kobold";
  if (isCompletionRequest(req) && req.body?.stream) {
    if (!streamableApi) {
      req.log.warn(
        { api: req.api, key: req.key?.hash },
        `Streaming requested, but ${req.api} streaming is not supported.`
      );
      req.body.stream = false;
      return;
    }
    req.body.stream = true;
    req.isStreaming = true;
  }
};


code:
import { fixRequestBody } from "http-proxy-middleware";
import type { ExpressHttpProxyReqCallback } from ".";

/** Finalize the rewritten request body. Must be the last rewriter. */
export const finalizeBody: ExpressHttpProxyReqCallback = (proxyReq, req) => {
  if (["POST", "PUT", "PATCH"].includes(req.method ?? "") && req.body) {
    const updatedBody = JSON.stringify(req.body);
    proxyReq.setHeader("Content-Length", Buffer.byteLength(updatedBody));
    (req as any).rawBody = Buffer.from(updatedBody);

    // body-parser and http-proxy-middleware don't play nice together
    fixRequestBody(proxyReq, req);
  }
};


code:
import type { Request } from "express";
import type { ClientRequest } from "http";
import type { ProxyReqCallback } from "http-proxy";

export { addKey } from "./add-key";
export { checkStreaming } from "./check-streaming";
export { finalizeBody } from "./finalize-body";
export { languageFilter } from "./language-filter";
export { limitCompletions } from "./limit-completions";
export { limitOutputTokens } from "./limit-output-tokens";
export { transformKoboldPayload } from "./transform-kobold-payload";

const OPENAI_CHAT_COMPLETION_ENDPOINT = "/v1/chat/completions";

/** Returns true if we're making a chat completion request. */
export function isCompletionRequest(req: Request) {
  return (
    req.method === "POST" &&
    req.path.startsWith(OPENAI_CHAT_COMPLETION_ENDPOINT)
  );
}

export type ExpressHttpProxyReqCallback = ProxyReqCallback<
  ClientRequest,
  Request
>;


code:
import { config } from "../../../config";
import { logger } from "../../../logger";
import type { ExpressHttpProxyReqCallback } from ".";

const DISALLOWED_REGEX =
  /[\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u3005\u3007\u3021-\u3029\u3038-\u303B\u3400-\u4DB5\u4E00-\u9FD5\uF900-\uFA6D\uFA70-\uFAD9]/;

// Our shitty free-tier VMs will fall over if we test every single character in
// each 15k character request ten times a second. So we'll just sample 20% of
// the characters and hope that's enough.
const containsDisallowedCharacters = (text: string) => {
  const sampleSize = Math.ceil(text.length * 0.2);
  const sample = text
    .split("")
    .sort(() => 0.5 - Math.random())
    .slice(0, sampleSize)
    .join("");
  return DISALLOWED_REGEX.test(sample);
};

/** Block requests containing too many disallowed characters. */
export const languageFilter: ExpressHttpProxyReqCallback = (_proxyReq, req) => {
  if (!config.rejectDisallowed) {
    return;
  }

  if (req.method === "POST" && req.body?.messages) {
    const combinedText = req.body.messages
      .map((m: { role: string; content: string }) => m.content)
      .join(",");
    if (containsDisallowedCharacters(combinedText)) {
      logger.warn(`Blocked request containing bad characters`);
      _proxyReq.destroy(new Error(config.rejectMessage));
    }
  }
};


code:
import { ExpressHttpProxyReqCallback, isCompletionRequest } from ".";

/** Don't allow multiple completions to be requested to prevent abuse. */
export const limitCompletions: ExpressHttpProxyReqCallback = (
  _proxyReq,
  req
) => {
  if (isCompletionRequest(req)) {
    const originalN = req.body?.n || 1;
    req.body.n = 1;
    if (originalN !== req.body.n) {
      req.log.warn(`Limiting completion choices from ${originalN} to 1`);
    }
  }
};