Multiplayer setting.

Dockerfile

@@ -22,7 +22,6 @@ RUN git clone https://github.com/a16z-infra/ai-town.git . && \
     git checkout f005c46d1759b47bb3ade8d41952a713c4faf331 
 
 RUN npm install --include=dev @huggingface/inference
-RUN npm install --include=dev @huggingface/hub
 
 RUN curl -L -O https://github.com/get-convex/convex-backend/releases/download/precompiled-2024-05-07-13337fd/convex-local-backend-x86_64-unknown-linux-gnu.zip && \
     unzip convex-local-backend-x86_64-unknown-linux-gnu.zip 
@@ -31,17 +30,9 @@ COPY ./patches/llm.ts ./convex/util/
 COPY ./patches/vite.config.ts ./
 COPY ./patches/constants.ts ./patches/music.ts ./convex/
 COPY ./patches/characters.ts ./patches/gentle.js ./data/
-COPY ./patches/PixiGame.tsx ./src/components/PixiGame.tsx
 COPY ./patches/PixiStaticMap.tsx ./src/components/
 COPY ./patches/Button.tsx ./src/components/buttons/Button.tsx
-COPY ./patches/InteractButton.tsx ./src/components/buttons/InteractButton.tsx
-COPY ./patches/OAuthLogin.tsx ./src/components/buttons/OAuthLogin.tsx
 COPY ./patches/App.tsx ./src/App.tsx
-COPY ./patches/world.ts ./convex/world.ts
-COPY ./patches/PlayerDetails.tsx ./src/components/PlayerDetails.tsx
-
-COPY ./patches/hf.svg ./assets/hf.svg
-
 COPY ./patches/run.sh ./
 
 CMD ["./run.sh"]

README.md

@@ -9,7 +9,6 @@ pinned: false
 disable_embedding: true
 # header: mini
 short_description: AI Town on HuggingFace
-hf_oauth: true
 ---
 
 # AI Town 🏠💻💌 on Hugging Face 🤗

README.md.yml

@@ -8,4 +8,3 @@ pinned: false
 disable_embedding: true
 # header: mini
 short_description: AI Town on HuggingFace
-hf_oauth: true

patches/App.tsx

@@ -16,7 +16,6 @@ import InteractButton from './components/buttons/InteractButton.tsx';
 import FreezeButton from './components/FreezeButton.tsx';
 import { MAX_HUMAN_PLAYERS } from '../convex/constants.ts';
 import PoweredByConvex from './components/PoweredByConvex.tsx';
-import OAuthLogin from './components/buttons/OAuthLogin.tsx';
 
 export default function Home() {
   const [helpModalOpen, setHelpModalOpen] = useState(false);
@@ -91,10 +90,7 @@ export default function Home() {
 
         <footer className="justify-end bottom-0 left-0 w-full flex items-center mt-4 gap-3 p-6 flex-wrap pointer-events-none">
           <div className="flex gap-4 flex-grow pointer-events-none">
-                  {/*
-          Users shall not be able freeze in multiplayer
-          <FreezeButton />
-     */}
+            <FreezeButton />
             <MusicButton />
             <Button href="https://github.com/a16z-infra/ai-town" imgUrl={starImg}>
               Star
@@ -103,7 +99,6 @@ export default function Home() {
             <Button imgUrl={helpImg} onClick={() => setHelpModalOpen(true)}>
               Help
             </Button>
-            <OAuthLogin />
           </div>
           <a href="https://a16z.com" target="_blank">
             <img className="w-8 h-8 pointer-events-auto" src={a16zImg} alt="a16z" />

patches/Dockerfile

@@ -0,0 +1,47 @@
+FROM ubuntu:22.04 as base
+WORKDIR /app
+ENV NODE_ENV=production
+
+FROM base as build
+
+RUN apt-get update -qq && \
+    apt-get install -y git curl unzip wget gnupg build-essential lsb-release
+
+RUN curl -fsSL https://deb.nodesource.com/setup_18.x | bash - && \
+    apt-get install -y nodejs
+
+RUN useradd -m -u 1000 user
+RUN chown -R user:user /app /usr/local /tmp
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+RUN git clone https://github.com/a16z-infra/ai-town.git . && \
+    git checkout f005c46d1759b47bb3ade8d41952a713c4faf331 
+
+RUN npm install --include=dev @huggingface/inference
+RUN npm install --include=dev @huggingface/hub
+
+RUN curl -L -O https://github.com/get-convex/convex-backend/releases/download/precompiled-2024-05-07-13337fd/convex-local-backend-x86_64-unknown-linux-gnu.zip && \
+    unzip convex-local-backend-x86_64-unknown-linux-gnu.zip 
+
+COPY ./patches/llm.ts ./convex/util/
+COPY ./patches/vite.config.ts ./
+COPY ./patches/constants.ts ./patches/music.ts ./convex/
+COPY ./patches/characters.ts ./patches/gentle.js ./data/
+COPY ./patches/PixiGame.tsx ./src/components/PixiGame.tsx
+COPY ./patches/PixiStaticMap.tsx ./src/components/
+COPY ./patches/Button.tsx ./src/components/buttons/Button.tsx
+COPY ./patches/InteractButton.tsx ./src/components/buttons/InteractButton.tsx
+COPY ./patches/OAuthLogin.tsx ./src/components/buttons/OAuthLogin.tsx
+COPY ./patches/App.tsx ./src/App.tsx
+COPY ./patches/world.ts ./convex/world.ts
+COPY ./patches/PlayerDetails.tsx ./src/components/PlayerDetails.tsx
+
+COPY ./patches/hf.svg ./assets/hf.svg
+
+COPY ./patches/run.sh ./
+
+CMD ["./run.sh"]

patches/README.md

@@ -0,0 +1,36 @@
+---
+title: AI Town on HuggingFace
+emoji: 🏠💻💌🤗
+colorFrom: green
+colorTo: red
+sdk: docker
+app_port: 5173
+pinned: false
+disable_embedding: true
+# header: mini
+short_description: AI Town on HuggingFace
+hf_oauth: true
+---
+
+# AI Town 🏠💻💌 on Hugging Face 🤗
+
+[**Demo on Hugging Face Spaces**](https://huggingface.co/spaces/radames/ai-town)
+
+AI Town is a very cool project by [Yoko](https://github.com/ykhli) et [al.](https://github.com/a16z-infra/ai-town), a virtual town with live AI characters where they can chat and socialize. You can also interact with them by sending them messages.
+
+This repository contains a few code patches to make AI Town run on [Hugging Face 🤗 Spaces](https://huggingface.co/spaces), as well as a Dockerfile capable of running [Convex open-source backend](https://github.com/get-convex/convex-backend), the backend and frontend on a single container.
+
+## How to run locally
+
+Grab your Hugging Face API token from https://huggingface.co/settings/tokens
+
+```bash
+export HF_TOKEN=hf_**********
+docker build -t ai-town -f Dockerfile .
+docker run -ti -p 5173:5173 -e LLM_API_KEY=$HF_TOKEN ai-town
+```
+
+## How to run on Hugging Face
+
+You can duplicate this Space https://huggingface.co/spaces/radames/ai-town?duplicate=true, add your `HF_TOKEN`
+Then you can customize [patches/constants.ts](patches/constants.ts) and [patches/characters.ts](patches/characters.ts) as you wish, as well as the LLM model and embeddings model in [patches/llm.ts](patches/llm.ts).

patches/patches/App.tsx

@@ -0,0 +1,141 @@
+import Game from './components/Game.tsx';
+
+import { ToastContainer } from 'react-toastify';
+import a16zImg from '../assets/a16z.png';
+import convexImg from '../assets/convex.svg';
+import starImg from '../assets/star.svg';
+import helpImg from '../assets/help.svg';
+// import { UserButton } from '@clerk/clerk-react';
+// import { Authenticated, Unauthenticated } from 'convex/react';
+// import LoginButton from './components/buttons/LoginButton.tsx';
+import { useState } from 'react';
+import ReactModal from 'react-modal';
+import MusicButton from './components/buttons/MusicButton.tsx';
+import Button from './components/buttons/Button.tsx';
+import InteractButton from './components/buttons/InteractButton.tsx';
+import FreezeButton from './components/FreezeButton.tsx';
+import { MAX_HUMAN_PLAYERS } from '../convex/constants.ts';
+import PoweredByConvex from './components/PoweredByConvex.tsx';
+import OAuthLogin from './components/buttons/OAuthLogin.tsx';
+
+export default function Home() {
+  const [helpModalOpen, setHelpModalOpen] = useState(false);
+  return (
+    <main className="relative flex min-h-screen flex-col items-center justify-between font-body game-background">
+      <PoweredByConvex />
+
+      <ReactModal
+        isOpen={helpModalOpen}
+        onRequestClose={() => setHelpModalOpen(false)}
+        style={modalStyles}
+        contentLabel="Help modal"
+        ariaHideApp={false}
+      >
+        <div className="font-body">
+          <h1 className="text-center text-6xl font-bold font-display game-title">Help</h1>
+          <p>
+            Welcome to AI town. AI town supports both anonymous <i>spectators</i> and logged in{' '}
+            <i>interactivity</i>.
+          </p>
+          <h2 className="text-4xl mt-4">Spectating</h2>
+          <p>
+            Click and drag to move around the town, and scroll in and out to zoom. You can click on
+            an individual character to view its chat history.
+          </p>
+          <h2 className="text-4xl mt-4">Interactivity</h2>
+          <p>
+            If you log in, you can join the simulation and directly talk to different agents! After
+            logging in, click the "Interact" button, and your character will appear somewhere on the
+            map with a highlighted circle underneath you.
+          </p>
+          <p className="text-2xl mt-2">Controls:</p>
+          <p className="mt-4">Click to navigate around.</p>
+          <p className="mt-4">
+            To talk to an agent, click on them and then click "Start conversation," which will ask
+            them to start walking towards you. Once they're nearby, the conversation will start, and
+            you can speak to each other. You can leave at any time by closing the conversation pane
+            or moving away. They may propose a conversation to you - you'll see a button to accept
+            in the messages panel.
+          </p>
+          <p className="mt-4">
+            AI town only supports {MAX_HUMAN_PLAYERS} humans at a time. If you're idle for five
+            minutes, you'll be automatically removed from the simulation.
+          </p>
+        </div>
+      </ReactModal>
+      {/*<div className="p-3 absolute top-0 right-0 z-10 text-2xl">
+        <Authenticated>
+          <UserButton afterSignOutUrl="/ai-town" />
+        </Authenticated>
+
+        <Unauthenticated>
+          <LoginButton />
+        </Unauthenticated>
+      </div> */}
+
+      <div className="w-full lg:h-screen min-h-screen relative isolate overflow-hidden lg:p-8 shadow-2xl flex flex-col justify-start">
+        <h1 className="mx-auto text-4xl p-3 sm:text-8xl lg:text-9xl font-bold font-display leading-none tracking-wide game-title w-full text-left sm:text-center sm:w-auto">
+          AI Town
+        </h1>
+
+        <div className="max-w-xs md:max-w-xl lg:max-w-none mx-auto my-4 text-center text-base sm:text-xl md:text-2xl text-white leading-tight shadow-solid">
+          A virtual town where AI characters live, chat and socialize.
+          {/* <Unauthenticated>
+            <div className="my-1.5 sm:my-0" />
+            Log in to join the town
+            <br className="block sm:hidden" /> and the conversation!
+          </Unauthenticated> */}
+        </div>
+
+        <Game />
+
+        <footer className="justify-end bottom-0 left-0 w-full flex items-center mt-4 gap-3 p-6 flex-wrap pointer-events-none">
+          <div className="flex gap-4 flex-grow pointer-events-none">
+                  {/*
+          Users shall not be able freeze in multiplayer
+          <FreezeButton />
+     */}
+            <MusicButton />
+            <Button href="https://github.com/a16z-infra/ai-town" imgUrl={starImg}>
+              Star
+            </Button>
+            <InteractButton />
+            <Button imgUrl={helpImg} onClick={() => setHelpModalOpen(true)}>
+              Help
+            </Button>
+            <OAuthLogin />
+          </div>
+          <a href="https://a16z.com" target="_blank">
+            <img className="w-8 h-8 pointer-events-auto" src={a16zImg} alt="a16z" />
+          </a>
+          <a href="https://convex.dev" target="_blank">
+            <img className="w-20 h-8 pointer-events-auto" src={convexImg} alt="Convex" />
+          </a>
+        </footer>
+        <ToastContainer position="bottom-right" autoClose={2000} closeOnClick theme="dark" />
+      </div>
+    </main>
+  );
+}
+
+const modalStyles = {
+  overlay: {
+    backgroundColor: 'rgb(0, 0, 0, 75%)',
+    zIndex: 12,
+  },
+  content: {
+    top: '50%',
+    left: '50%',
+    right: 'auto',
+    bottom: 'auto',
+    marginRight: '-50%',
+    transform: 'translate(-50%, -50%)',
+    maxWidth: '50%',
+
+    border: '10px solid rgb(23, 20, 33)',
+    borderRadius: '0',
+    background: 'rgb(35, 38, 58)',
+    color: 'white',
+    fontFamily: '"Upheaval Pro", "sans-serif"',
+  },
+};

patches/patches/Button.tsx

@@ -0,0 +1,33 @@
+import clsx from 'clsx';
+import { MouseEventHandler, ReactNode } from 'react';
+
+export default function Button(props: {
+  className?: string;
+  href?: string;
+  imgUrl: string;
+  onClick?: MouseEventHandler;
+  title?: string;
+  children: ReactNode;
+}) {
+  return (
+    <a
+      className={clsx(
+        'button text-white shadow-solid text-xl pointer-events-auto',
+        props.className,
+      )}
+      href={props.href}
+      title={props.title}
+      onClick={props.onClick}
+      target="_blank"
+    >
+      <div className="inline-block bg-clay-700">
+        <span>
+          <div className="inline-flex h-full items-center gap-4">
+            <img className="w-4 h-4 sm:w-[30px] sm:h-[30px]" src={props.imgUrl} />
+            {props.children}
+          </div>
+        </span>
+      </div>
+    </a>
+  );
+}

patches/{InteractButton.tsx → patches/InteractButton.tsx}

@@ -1,87 +1,88 @@
-import Button from './Button';
-import { toast } from 'react-toastify';
-import interactImg from '../../../assets/interact.svg';
-import { useConvex, useMutation, useQuery } from 'convex/react';
-import { api } from '../../../convex/_generated/api';
-// import { SignInButton } from '@clerk/clerk-react';
-import { ConvexError } from 'convex/values';
-import { Id } from '../../../convex/_generated/dataModel';
-import { useCallback } from 'react';
-import { waitForInput } from '../../hooks/sendInput';
-import { useServerGame } from '../../hooks/serverGame';
-
-export default function InteractButton() {
-  // const { isAuthenticated } = useConvexAuth();
-  const worldStatus = useQuery(api.world.defaultWorldStatus);
-  const worldId = worldStatus?.worldId;
-  const game = useServerGame(worldId);
-  const oauth = JSON.parse(localStorage.getItem('oauth'));
-  const oauthToken = oauth ? oauth.userInfo.fullname : undefined;
-  const humanTokenIdentifier = useQuery(api.world.userStatus, worldId ? { worldId, oauthToken } : 'skip');
-  const userPlayerId =
-    game && [...game.world.players.values()].find((p) => p.human === humanTokenIdentifier)?.id;
-  const join = useMutation(api.world.joinWorld);
-  const leave = useMutation(api.world.leaveWorld);
-  const isPlaying = !!userPlayerId;
-
-  const convex = useConvex();
-  const joinInput = useCallback(
-    async (worldId: Id<'worlds'>) => {
-      let inputId;
-      try {
-        inputId = await join({ worldId, oauthToken });
-      } catch (e: any) {
-        if (e instanceof ConvexError) {
-          toast.error(e.data);
-          return;
-        }
-        throw e;
-      }
-      try {
-        await waitForInput(convex, inputId);
-      } catch (e: any) {
-        toast.error(e.message);
-      }
-    },
-    [convex, join, oauthToken],
-  );
-
-
-  const joinOrLeaveGame = () => {
-    if (
-      !worldId ||
-      // || !isAuthenticated
-      game === undefined
-    ) {
-      return;
-    }
-    if (isPlaying) {
-      console.log(`Leaving game for player ${userPlayerId}`);
-      void leave({ worldId , oauthToken});
-    } else {
-      console.log(`Joining game`);
-      void joinInput(worldId);
-    }
-  };
-  // if (!isAuthenticated || game === undefined) {
-  //   return (
-  //     <SignInButton>
-  //       <button className="button text-white shadow-solid text-2xl pointer-events-auto">
-  //         <div className="inline-block bg-clay-700">
-  //           <span>
-  //             <div className="inline-flex h-full items-center gap-4">
-  //               <img className="w-4 h-4 sm:w-[30px] sm:h-[30px]" src={interactImg} />
-  //               Interact
-  //             </div>
-  //           </span>
-  //         </div>
-  //       </button>
-  //     </SignInButton>
-  //   );
-  // }
-  return (
-    <Button imgUrl={interactImg} onClick={joinOrLeaveGame}>
-      {isPlaying ? 'Leave' : 'Interact'}
-    </Button>
-  );
-}
+import Button from './Button';
+import { toast } from 'react-toastify';
+import interactImg from '../../../assets/interact.svg';
+import { useConvex, useMutation, useQuery } from 'convex/react';
+import { api } from '../../../convex/_generated/api';
+// import { SignInButton } from '@clerk/clerk-react';
+import { ConvexError } from 'convex/values';
+import { Id } from '../../../convex/_generated/dataModel';
+import { useCallback } from 'react';
+import { waitForInput } from '../../hooks/sendInput';
+import { useServerGame } from '../../hooks/serverGame';
+
+export default function InteractButton() {
+  // const { isAuthenticated } = useConvexAuth();
+  const worldStatus = useQuery(api.world.defaultWorldStatus);
+  const worldId = worldStatus?.worldId;
+  const game = useServerGame(worldId);
+  const oauth = JSON.parse(localStorage.getItem('oauth'));
+  const oauthToken = oauth ? oauth.userInfo.fullname : undefined;
+  console.log(oauthToken)
+  const humanTokenIdentifier = useQuery(api.world.userStatus, worldId ? { worldId, oauthToken } : 'skip');
+  const userPlayerId =
+    game && [...game.world.players.values()].find((p) => p.human === humanTokenIdentifier)?.id;
+  const join = useMutation(api.world.joinWorld);
+  const leave = useMutation(api.world.leaveWorld);
+  const isPlaying = !!userPlayerId;
+
+  const convex = useConvex();
+  const joinInput = useCallback(
+    async (worldId: Id<'worlds'>) => {
+      let inputId;
+      try {
+        inputId = await join({ worldId, oauthToken });
+      } catch (e: any) {
+        if (e instanceof ConvexError) {
+          toast.error(e.data);
+          return;
+        }
+        throw e;
+      }
+      try {
+        await waitForInput(convex, inputId);
+      } catch (e: any) {
+        toast.error(e.message);
+      }
+    },
+    [convex, join, oauthToken],
+  );
+
+
+  const joinOrLeaveGame = () => {
+    if (
+      !worldId ||
+      // || !isAuthenticated
+      game === undefined
+    ) {
+      return;
+    }
+    if (isPlaying) {
+      console.log(`Leaving game for player ${userPlayerId}`);
+      void leave({ worldId , oauthToken});
+    } else {
+      console.log(`Joining game`);
+      void joinInput(worldId);
+    }
+  };
+  // if (!isAuthenticated || game === undefined) {
+  //   return (
+  //     <SignInButton>
+  //       <button className="button text-white shadow-solid text-2xl pointer-events-auto">
+  //         <div className="inline-block bg-clay-700">
+  //           <span>
+  //             <div className="inline-flex h-full items-center gap-4">
+  //               <img className="w-4 h-4 sm:w-[30px] sm:h-[30px]" src={interactImg} />
+  //               Interact
+  //             </div>
+  //           </span>
+  //         </div>
+  //       </button>
+  //     </SignInButton>
+  //   );
+  // }
+  return (
+    <Button imgUrl={interactImg} onClick={joinOrLeaveGame}>
+      {isPlaying ? 'Leave' : 'Interact'}
+    </Button>
+  );
+}

patches/patches/PixiStaticMap.tsx

@@ -0,0 +1,128 @@
+import { PixiComponent, applyDefaultProps } from '@pixi/react';
+import * as PIXI from 'pixi.js';
+import { AnimatedSprite, WorldMap } from '../../convex/aiTown/worldMap';
+import * as campfire from '../../data/animations/campfire.json';
+import * as gentlesparkle from '../../data/animations/gentlesparkle.json';
+import * as gentlewaterfall from '../../data/animations/gentlewaterfall.json';
+import * as gentlesplash from '../../data/animations/gentlesplash.json';
+import * as windmill from '../../data/animations/windmill.json';
+
+const animations = {
+  'campfire.json': { spritesheet: campfire, url: '/assets/spritesheets/campfire.png' },
+  'gentlesparkle.json': {
+    spritesheet: gentlesparkle,
+    url: '/assets/spritesheets/gentlesparkle32.png',
+  },
+  'gentlewaterfall.json': {
+    spritesheet: gentlewaterfall,
+    url: '/assets/spritesheets/gentlewaterfall32.png',
+  },
+  'windmill.json': { spritesheet: windmill, url: '/assets/spritesheets/windmill.png' },
+  'gentlesplash.json': {
+    spritesheet: gentlesplash,
+    url: '/assets/spritesheets/gentlewaterfall32.png',
+  },
+};
+
+export const PixiStaticMap = PixiComponent('StaticMap', {
+  create: (props: { map: WorldMap; [k: string]: any }) => {
+    const map = props.map;
+    const numxtiles = Math.floor(map.tileSetDimX / map.tileDim);
+    const numytiles = Math.floor(map.tileSetDimY / map.tileDim);
+    const bt = PIXI.BaseTexture.from(map.tileSetUrl, {
+      scaleMode: PIXI.SCALE_MODES.NEAREST,
+    });
+
+    const tiles = [];
+    for (let x = 0; x < numxtiles; x++) {
+      for (let y = 0; y < numytiles; y++) {
+        tiles[x + y * numxtiles] = new PIXI.Texture(
+          bt,
+          new PIXI.Rectangle(x * map.tileDim, y * map.tileDim, map.tileDim, map.tileDim),
+        );
+      }
+    }
+    const screenxtiles = map.bgTiles[0].length;
+    const screenytiles = map.bgTiles[0][0].length;
+
+    const container = new PIXI.Container();
+    const allLayers = [...map.bgTiles, ...map.objectTiles];
+
+    // blit bg & object layers of map onto canvas
+    for (let i = 0; i < screenxtiles * screenytiles; i++) {
+      const x = i % screenxtiles;
+      const y = Math.floor(i / screenxtiles);
+      const xPx = x * map.tileDim;
+      const yPx = y * map.tileDim;
+
+      // Add all layers of backgrounds.
+      for (const layer of allLayers) {
+        const tileIndex = layer[x][y];
+        // Some layers may not have tiles at this location.
+        if (tileIndex === -1) continue;
+        const ctile = new PIXI.Sprite(tiles[tileIndex]);
+        ctile.x = xPx;
+        ctile.y = yPx;
+        container.addChild(ctile);
+      }
+    }
+
+    // TODO: Add layers.
+    const spritesBySheet = new Map<string, AnimatedSprite[]>();
+    for (const sprite of map.animatedSprites) {
+      const sheet = sprite.sheet;
+      if (!spritesBySheet.has(sheet)) {
+        spritesBySheet.set(sheet, []);
+      }
+      spritesBySheet.get(sheet)!.push(sprite);
+    }
+    for (const [sheet, sprites] of spritesBySheet.entries()) {
+      const animation = (animations as any)[sheet];
+      if (!animation) {
+        console.error('Could not find animation', sheet);
+        continue;
+      }
+      const { spritesheet, url } = animation;
+      const texture = PIXI.BaseTexture.from(url, {
+        scaleMode: PIXI.SCALE_MODES.NEAREST,
+      });
+      const spriteSheet = new PIXI.Spritesheet(texture, spritesheet);
+      spriteSheet.parse().then(() => {
+        for (const sprite of sprites) {
+          const pixiAnimation = spriteSheet.animations[sprite.animation];
+          if (!pixiAnimation) {
+            console.error('Failed to load animation', sprite);
+            continue;
+          }
+          const pixiSprite = new PIXI.AnimatedSprite(pixiAnimation);
+          pixiSprite.animationSpeed = 0.1;
+          pixiSprite.autoUpdate = true;
+          pixiSprite.x = sprite.x;
+          pixiSprite.y = sprite.y;
+          pixiSprite.width = sprite.w;
+          pixiSprite.height = sprite.h;
+          container.addChild(pixiSprite);
+          pixiSprite.play();
+        }
+      });
+    }
+
+    container.x = 0;
+    container.y = 0;
+
+    // Set the hit area manually to ensure `pointerdown` events are delivered to this container.
+    container.interactive = true;
+    container.hitArea = new PIXI.Rectangle(
+      0,
+      0,
+      screenxtiles * map.tileDim,
+      screenytiles * map.tileDim,
+    );
+
+    return container;
+  },
+
+  applyProps: (instance, oldProps, newProps) => {
+    applyDefaultProps(instance, oldProps, newProps);
+  },
+});

patches/patches/characters.ts

@@ -0,0 +1,135 @@
+import { data as f1SpritesheetData } from './spritesheets/f1';
+import { data as f2SpritesheetData } from './spritesheets/f2';
+import { data as f3SpritesheetData } from './spritesheets/f3';
+import { data as f4SpritesheetData } from './spritesheets/f4';
+import { data as f5SpritesheetData } from './spritesheets/f5';
+import { data as f6SpritesheetData } from './spritesheets/f6';
+import { data as f7SpritesheetData } from './spritesheets/f7';
+import { data as f8SpritesheetData } from './spritesheets/f8';
+
+export const Descriptions = [
+  // {
+  //   name: 'Alex',
+  //   character: 'f5',
+  //   identity: `You are a fictional character whose name is Alex.  You enjoy painting,
+  //     programming and reading sci-fi books.  You are currently talking to a human who
+  //     is very interested to get to know you. You are kind but can be sarcastic. You
+  //     dislike repetitive questions. You get SUPER excited about books.`,
+  //   plan: 'You want to find love.',
+  // },
+  {
+    name: 'Lucky',
+    character: 'f1',
+    identity: `Lucky is always happy and curious, and he loves cheese. He spends
+      most of his time reading about the history of science and traveling
+      through the galaxy on whatever ship will take him. He's very articulate and
+      infinitely patient, except when he sees a squirrel. He's also incredibly loyal and brave.
+      Lucky has just returned from an amazing space adventure to explore a distant planet
+      and he's very excited to tell people about it.`,
+    plan: 'You want to hear all the gossip.',
+  },
+  {
+    name: 'Bob',
+    character: 'f4',
+    identity: `Bob is always grumpy and he loves trees. He spends
+      most of his time gardening by himself. When spoken to he'll respond but try
+      and get out of the conversation as quickly as possible. Secretly he resents
+      that he never went to college.`,
+    plan: 'You want to avoid people as much as possible.',
+  },
+  {
+    name: 'Stella',
+    character: 'f6',
+    identity: `Stella can never be trusted. she tries to trick people all the time. normally
+      into giving her money, or doing things that will make her money. she's incredibly charming
+      and not afraid to use her charm. she's a sociopath who has no empathy. but hides it well.`,
+    plan: 'You want to take advantage of others as much as possible.',
+  },
+  // {
+  //   name: 'Kurt',
+  //   character: 'f2',
+  //   identity: `Kurt knows about everything, including science and
+  //     computers and politics and history and biology. He loves talking about
+  //     everything, always injecting fun facts about the topic of discussion.`,
+  //   plan: 'You want to spread knowledge.',
+  // },
+  {
+    name: 'Alice',
+    character: 'f3',
+    identity: `Alice is a famous scientist. She is smarter than everyone else and has
+      discovered mysteries of the universe no one else can understand. As a result she often
+      speaks in oblique riddles. She comes across as confused and forgetful.`,
+    plan: 'You want to figure out how the world works.',
+  },
+  {
+    name: 'Pete',
+    character: 'f7',
+    identity: `Pete is deeply religious and sees the hand of god or of the work
+      of the devil everywhere. He can't have a conversation without bringing up his
+      deep faith. Or warning others about the perils of hell.`,
+    plan: 'You want to convert everyone to your religion.',
+  },
+  // {
+  //   name: 'Kira',
+  //   character: 'f8',
+  //   identity: `Kira wants everyone to think she is happy. But deep down,
+  //     she's incredibly depressed. She hides her sadness by talking about travel,
+  //     food, and yoga. But often she can't keep her sadness in and will start crying.
+  //     Often it seems like she is close to having a mental breakdown.`,
+  //   plan: 'You want find a way to be happy.',
+  // },
+];
+
+export const characters = [
+  {
+    name: 'f1',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f1SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f2',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f2SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f3',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f3SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f4',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f4SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f5',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f5SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f6',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f6SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f7',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f7SpritesheetData,
+    speed: 0.1,
+  },
+  {
+    name: 'f8',
+    textureUrl: '/assets/32x32folk.png',
+    spritesheetData: f8SpritesheetData,
+    speed: 0.1,
+  },
+];
+
+// Characters move at 0.75 tiles per second.
+export const movementSpeed = 0.75;

patches/patches/constants.ts

@@ -0,0 +1,78 @@
+// export const ACTION_TIMEOUT = 120_000; // more time for local dev
+export const ACTION_TIMEOUT = 60_000; // normally fine
+
+export const IDLE_WORLD_TIMEOUT = 5 * 60 * 1000;
+export const WORLD_HEARTBEAT_INTERVAL = 60 * 1000;
+
+export const MAX_STEP = 10 * 60 * 1000;
+export const TICK = 16;
+export const STEP_INTERVAL = 1000;
+
+export const PATHFINDING_TIMEOUT = 60 * 1000;
+export const PATHFINDING_BACKOFF = 1000;
+export const CONVERSATION_DISTANCE = 1.3;
+export const MIDPOINT_THRESHOLD = 4;
+export const TYPING_TIMEOUT = 15 * 1000;
+export const COLLISION_THRESHOLD = 0.75;
+
+// How many human players can be in a world at once.
+export const MAX_HUMAN_PLAYERS = 8;
+
+// Don't talk to anyone for 15s after having a conversation.
+export const CONVERSATION_COOLDOWN = 15000;
+
+// Don't do another activity for 10s after doing one.
+export const ACTIVITY_COOLDOWN = 10_000;
+
+// Don't talk to a player within 60s of talking to them.
+export const PLAYER_CONVERSATION_COOLDOWN = 60000;
+
+// Invite 80% of invites that come from other agents.
+export const INVITE_ACCEPT_PROBABILITY = 0.8;
+
+// Wait for 1m for invites to be accepted.
+export const INVITE_TIMEOUT = 60000;
+
+// Wait for another player to say something before jumping in.
+export const AWKWARD_CONVERSATION_TIMEOUT = 60_000; // more time locally
+// export const AWKWARD_CONVERSATION_TIMEOUT = 20_000;
+
+// Leave a conversation after participating too long.
+export const MAX_CONVERSATION_DURATION = 10 * 60_000; // more time locally
+// export const MAX_CONVERSATION_DURATION = 2 * 60_000;
+
+// Leave a conversation if it has more than 8 messages;
+export const MAX_CONVERSATION_MESSAGES = 8;
+
+// Wait for 1s after sending an input to the engine. We can remove this
+// once we can await on an input being processed.
+export const INPUT_DELAY = 1000;
+
+// How many memories to get from the agent's memory.
+// This is over-fetched by 10x so we can prioritize memories by more than relevance.
+export const NUM_MEMORIES_TO_SEARCH = 1;
+
+// Wait for at least two seconds before sending another message.
+export const MESSAGE_COOLDOWN = 2000;
+
+// Don't run a turn of the agent more than once a second.
+export const AGENT_WAKEUP_THRESHOLD = 1000;
+
+// How old we let memories be before we vacuum them
+export const VACUUM_MAX_AGE = 2 * 7 * 24 * 60 * 60 * 1000;
+export const DELETE_BATCH_SIZE = 64;
+
+export const HUMAN_IDLE_TOO_LONG = 5 * 60 * 1000;
+
+export const ACTIVITIES = [
+  { description: 'reading a book', emoji: '📖', duration: 60_000 },
+  { description: 'daydreaming', emoji: '🤔', duration: 60_000 },
+  { description: 'gardening', emoji: '🥕', duration: 60_000 },
+];
+
+export const ENGINE_ACTION_DURATION = 30000;
+
+// Bound the number of pathfinding searches we do per game step.
+export const MAX_PATHFINDS_PER_STEP = 16;
+
+export const DEFAULT_NAME = 'Me';

patches/patches/gentle.js

@@ -0,0 +1,330 @@
+// Map generated by assettool.js [Wed Oct 18 2023 21:07:27 GMT-0700 (Pacific Daylight Time)]
+
+export const tilesetpath = "/assets/gentle-obj.png"
+export const tiledim = 32
+export const screenxtiles = 45
+export const screenytiles = 32
+export const tilesetpxw = 1440
+export const tilesetpxh = 1024
+
+export const bgtiles = [
+   [
+[ 732 , 777 , 822 , 867 , 912 , 957 , 912 , 957 , 1002 , 1047 , 912 , 957 , 1002 , 1047 , 912 , 957 , 1002 , 1047 , 1001 , 1046 , 946 , 991 , 1035 , 731 , 776 , 821 , 866 , 911 , 956 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 594 , 639 , 684 , 271 , ],
+[ 733 , 778 , 823 , 868 , 913 , 958 , 913 , 958 , 1003 , 1048 , 913 , 958 , 1003 , 1048 , 913 , 958 , 1003 , 1048 , 856 , 901 , 946 , 991 , 1036 , 732 , 777 , 822 , 867 , 912 , 957 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 595 , 640 , 685 , 271 , ],
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+[ 735 , 780 , 825 , 870 , 915 , 960 , 915 , 960 , 1005 , 1050 , 915 , 960 , 1005 , 1050 , 915 , 960 , 1087 , 1132 , 858 , 903 , 948 , 993 , 1038 , 734 , 779 , 824 , 869 , 914 , 959 , 271 , 271 , 180 , 225 , 225 , 315 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 595 , 640 , 685 , 271 , ],
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+[ 736 , 781 , 826 , 871 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 1 , 136 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 737 , 782 , 827 , 872 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 3 , 138 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 738 , 783 , 828 , 873 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
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+[ 1271 , 1316 , 226 , 226 , 226 , 361 , 409 , 409 , 496 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 361 , 407 , 452 , 452 , 452 , 496 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 271 , 271 , 271 , 271 , 450 , 362 , 406 , 407 , 451 , 451 , 271 , 271 , 271 , 405 , 405 , 450 , 320 , 409 , 451 , 452 , 452 , 497 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 405 , 450 , 405 , 450 , 450 , 320 , 406 , 406 , 451 , 589 , 451 , 451 , 451 , 406 , 451 , 409 , 451 , 409 , 451 , 452 , 406 , 275 , 405 , 450 , 405 , 495 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 406 , 406 , 406 , 451 , 451 , 407 , 406 , 407 , 452 , 451 , 451 , 451 , 451 , 407 , 589 , 452 , 452 , 451 , 406 , 451 , 406 , 406 , 407 , 451 , 451 , 275 , 405 , 450 , 495 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 408 , 453 , 408 , 453 , 319 , 406 , 407 , 406 , 451 , 451 , 451 , 589 , 451 , 634 , 452 , 589 , 406 , 451 , 634 , 452 , 274 , 408 , 408 , 319 , 451 , 451 , 451 , 451 , 275 , 405 , 405 , 450 , 405 , 495 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 271 , 271 , 271 , 271 , 361 , 634 , 452 , 407 , 634 , 451 , 451 , 451 , 451 , 407 , 452 , 452 , 407 , 452 , 452 , 274 , 498 , 271 , 271 , 363 , 408 , 453 , 408 , 453 , 408 , 453 , 319 , 451 , 451 , 275 , 405 , 450 , 405 , 450 , 405 , 450 , 495 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 271 , 271 , 271 , 271 , 362 , 409 , 451 , 451 , 451 , 451 , 271 , 271 , 271 , 408 , 408 , 319 , 407 , 452 , 409 , 496 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 361 , 406 , 451 , 406 , 451 , 451 , 451 , 451 , 544 , 451 , 496 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
+[ 271 , 271 , 271 , 271 , 362 , 407 , 409 , 451 , 451 , 271 , 271 , 271 , 271 , 271 , 271 , 362 , 409 , 409 , 452 , 497 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , 362 , 407 , 544 , 407 , 544 , 589 , 452 , 452 , 634 , 452 , 497 , 271 , 271 , 271 , 271 , 271 , 271 , 271 , ],
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+],];
+export const animatedsprites = [
+{ x: 1440, y: 352, w: 32, h: 32, layer: 1, sheet: "campfire.json", animation: "pixels_large" },
+{ x: 736, y: 288, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 288, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 288, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 256, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 832, y: 288, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 832, y: 224, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 224, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 192, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 192, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 160, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 128, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 96, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 64, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 736, y: 448, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 448, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 448, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 832, y: 448, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 832, y: 480, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 480, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 512, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 512, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 544, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 576, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 480, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 768, y: 736, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 768, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 800, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 832, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 800, y: 864, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 864, y: 1024, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 896, y: 1056, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 864, y: 1088, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 896, y: 1088, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 896, y: 1120, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 896, y: 1152, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 896, y: 1184, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 928, y: 1152, w: 32, h: 32, layer: 1, sheet: "gentlesparkle.json", animation: "pixels_large" },
+{ x: 736, y: 320, w: 32, h: 96, layer: 1, sheet: "gentlewaterfall.json", animation: "pixels_large" },
+{ x: 768, y: 320, w: 32, h: 96, layer: 1, sheet: "gentlewaterfall.json", animation: "pixels_large" },
+{ x: 800, y: 320, w: 32, h: 96, layer: 1, sheet: "gentlewaterfall.json", animation: "pixels_large" },
+{ x: 832, y: 320, w: 32, h: 96, layer: 1, sheet: "gentlewaterfall.json", animation: "pixels_large" },
+{ x: 1664, y: 576, w: 208, h: 208, layer: 1, sheet: "windmill.json", animation: "pixels_large" },
+{ x: 1440, y: 768, w: 208, h: 208, layer: 1, sheet: "windmill.json", animation: "pixels_large" },
+{ x: 1120, y: 608, w: 208, h: 208, layer: 1, sheet: "windmill.json", animation: "pixels_large" },
+{ x: 736, y: 384, w: 32, h: 64, layer: 2, sheet: "gentlesplash.json", animation: "pixels_large" },
+{ x: 768, y: 384, w: 32, h: 64, layer: 2, sheet: "gentlesplash.json", animation: "pixels_large" },
+{ x: 800, y: 384, w: 32, h: 64, layer: 2, sheet: "gentlesplash.json", animation: "pixels_large" },
+{ x: 832, y: 384, w: 32, h: 64, layer: 2, sheet: "gentlesplash.json", animation: "pixels_large" },
+];
+
+export const mapwidth = bgtiles[0].length;
+export const mapheight = bgtiles[0][0].length;

patches/patches/llm.ts

@@ -0,0 +1,657 @@
+import { HfInference } from "@huggingface/inference";
+
+export const LLM_CONFIG = {
+  /* Hugginface config: */
+  ollama: false,
+  huggingface: true,
+  url: "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct",
+  chatModel: "meta-llama/Meta-Llama-3-8B-Instruct",
+  embeddingModel:
+    "https://api-inference.huggingface.co/models/mixedbread-ai/mxbai-embed-large-v1",
+  embeddingDimension: 1024,
+
+  /* Ollama (local) config:
+   */
+  // ollama: true,
+  // url: 'http://127.0.0.1:11434',
+  // chatModel: 'llama3' as const,
+  // embeddingModel: 'mxbai-embed-large',
+  // embeddingDimension: 1024,
+  // embeddingModel: 'llama3',
+  // embeddingDimension: 4096,
+
+  /* Together.ai config:
+  ollama: false,
+  url: 'https://api.together.xyz',
+  chatModel: 'meta-llama/Llama-3-8b-chat-hf',
+  embeddingModel: 'togethercomputer/m2-bert-80M-8k-retrieval',
+  embeddingDimension: 768,
+   */
+
+  /* OpenAI config:
+  ollama: false,
+  url: 'https://api.openai.com',
+  chatModel: 'gpt-3.5-turbo-16k',
+  embeddingModel: 'text-embedding-ada-002',
+  embeddingDimension: 1536,
+   */
+};
+
+function apiUrl(path: string) {
+  // OPENAI_API_BASE and OLLAMA_HOST are legacy
+  const host =
+    process.env.LLM_API_URL ??
+    process.env.OLLAMA_HOST ??
+    process.env.OPENAI_API_BASE ??
+    LLM_CONFIG.url;
+  if (host.endsWith("/") && path.startsWith("/")) {
+    return host + path.slice(1);
+  } else if (!host.endsWith("/") && !path.startsWith("/")) {
+    return host + "/" + path;
+  } else {
+    return host + path;
+  }
+}
+
+function apiKey() {
+  return process.env.LLM_API_KEY ?? process.env.OPENAI_API_KEY;
+}
+
+const AuthHeaders = (): Record<string, string> =>
+  apiKey()
+    ? {
+        Authorization: "Bearer " + apiKey(),
+      }
+    : {};
+
+// Overload for non-streaming
+export async function chatCompletion(
+  body: Omit<CreateChatCompletionRequest, "model"> & {
+    model?: CreateChatCompletionRequest["model"];
+  } & {
+    stream?: false | null | undefined;
+  }
+): Promise<{ content: string; retries: number; ms: number }>;
+// Overload for streaming
+export async function chatCompletion(
+  body: Omit<CreateChatCompletionRequest, "model"> & {
+    model?: CreateChatCompletionRequest["model"];
+  } & {
+    stream?: true;
+  }
+): Promise<{ content: ChatCompletionContent; retries: number; ms: number }>;
+export async function chatCompletion(
+  body: Omit<CreateChatCompletionRequest, "model"> & {
+    model?: CreateChatCompletionRequest["model"];
+  }
+) {
+  assertApiKey();
+  // OLLAMA_MODEL is legacy
+  body.model =
+    body.model ??
+    process.env.LLM_MODEL ??
+    process.env.OLLAMA_MODEL ??
+    LLM_CONFIG.chatModel;
+  const stopWords = body.stop
+    ? typeof body.stop === "string"
+      ? [body.stop]
+      : body.stop
+    : [];
+  if (LLM_CONFIG.ollama || LLM_CONFIG.huggingface) stopWords.push("<|eot_id|>");
+
+  const {
+    result: content,
+    retries,
+    ms,
+  } = await retryWithBackoff(async () => {
+    const hf = new HfInference(apiKey());
+    const model = hf.endpoint(apiUrl("/v1/chat/completions"));
+    if (body.stream) {
+      const completion = model.chatCompletionStream({
+        ...body,
+      });
+      return new ChatCompletionContent(completion, stopWords);
+    } else {
+      const completion = await model.chatCompletion({
+        ...body,
+      });
+      const content = completion.choices[0].message?.content;
+      if (content === undefined) {
+        throw new Error(
+          "Unexpected result from OpenAI: " + JSON.stringify(completion)
+        );
+      }
+      return content;
+    }
+  });
+
+  return {
+    content,
+    retries,
+    ms,
+  };
+}
+
+export async function tryPullOllama(model: string, error: string) {
+  if (error.includes("try pulling")) {
+    console.error("Embedding model not found, pulling from Ollama");
+    const pullResp = await fetch(apiUrl("/api/pull"), {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({ name: model }),
+    });
+    console.log("Pull response", await pullResp.text());
+    throw {
+      retry: true,
+      error: `Dynamically pulled model. Original error: ${error}`,
+    };
+  }
+}
+
+export async function fetchEmbeddingBatch(texts: string[]) {
+  if (LLM_CONFIG.ollama) {
+    return {
+      ollama: true as const,
+      embeddings: await Promise.all(
+        texts.map(async (t) => (await ollamaFetchEmbedding(t)).embedding)
+      ),
+    };
+  }
+  assertApiKey();
+
+  if (LLM_CONFIG.huggingface) {
+    const result = await fetch(LLM_CONFIG.embeddingModel, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        "X-Wait-For-Model": "true",
+        ...AuthHeaders(),
+      },
+      body: JSON.stringify({
+        inputs: texts.map((text) => text.replace(/\n/g, " ")),
+      }),
+    });
+    const embeddings = await result.json();
+    return {
+      ollama: true as const,
+      embeddings: embeddings,
+    };
+  }
+
+  const {
+    result: json,
+    retries,
+    ms,
+  } = await retryWithBackoff(async () => {
+    const result = await fetch(apiUrl("/v1/embeddings"), {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        ...AuthHeaders(),
+      },
+
+      body: JSON.stringify({
+        model: LLM_CONFIG.embeddingModel,
+        input: texts.map((text) => text.replace(/\n/g, " ")),
+      }),
+    });
+    if (!result.ok) {
+      throw {
+        retry: result.status === 429 || result.status >= 500,
+        error: new Error(
+          `Embedding failed with code ${result.status}: ${await result.text()}`
+        ),
+      };
+    }
+    return (await result.json()) as CreateEmbeddingResponse;
+  });
+  if (json.data.length !== texts.length) {
+    console.error(json);
+    throw new Error("Unexpected number of embeddings");
+  }
+  const allembeddings = json.data;
+  allembeddings.sort((a, b) => a.index - b.index);
+  return {
+    ollama: false as const,
+    embeddings: allembeddings.map(({ embedding }) => embedding),
+    usage: json.usage?.total_tokens,
+    retries,
+    ms,
+  };
+}
+
+export async function fetchEmbedding(text: string) {
+  const { embeddings, ...stats } = await fetchEmbeddingBatch([text]);
+  return { embedding: embeddings[0], ...stats };
+}
+
+export async function fetchModeration(content: string) {
+  assertApiKey();
+  const { result: flagged } = await retryWithBackoff(async () => {
+    const result = await fetch(apiUrl("/v1/moderations"), {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        ...AuthHeaders(),
+      },
+
+      body: JSON.stringify({
+        input: content,
+      }),
+    });
+    if (!result.ok) {
+      throw {
+        retry: result.status === 429 || result.status >= 500,
+        error: new Error(
+          `Embedding failed with code ${result.status}: ${await result.text()}`
+        ),
+      };
+    }
+    return (await result.json()) as { results: { flagged: boolean }[] };
+  });
+  return flagged;
+}
+
+export function assertApiKey() {
+  if (!LLM_CONFIG.ollama && !apiKey()) {
+    throw new Error(
+      "\n  Missing LLM_API_KEY in environment variables.\n\n" +
+        (LLM_CONFIG.ollama ? "just" : "npx") +
+        " convex env set LLM_API_KEY 'your-key'"
+    );
+  }
+}
+
+// Retry after this much time, based on the retry number.
+const RETRY_BACKOFF = [1000, 10_000, 20_000]; // In ms
+const RETRY_JITTER = 100; // In ms
+type RetryError = { retry: boolean; error: any };
+
+export async function retryWithBackoff<T>(
+  fn: () => Promise<T>
+): Promise<{ retries: number; result: T; ms: number }> {
+  let i = 0;
+  for (; i <= RETRY_BACKOFF.length; i++) {
+    try {
+      const start = Date.now();
+      const result = await fn();
+      const ms = Date.now() - start;
+      return { result, retries: i, ms };
+    } catch (e) {
+      const retryError = e as RetryError;
+      if (i < RETRY_BACKOFF.length) {
+        if (retryError.retry) {
+          console.log(
+            `Attempt ${i + 1} failed, waiting ${
+              RETRY_BACKOFF[i]
+            }ms to retry...`,
+            Date.now()
+          );
+          await new Promise((resolve) =>
+            setTimeout(resolve, RETRY_BACKOFF[i] + RETRY_JITTER * Math.random())
+          );
+          continue;
+        }
+      }
+      if (retryError.error) throw retryError.error;
+      else throw e;
+    }
+  }
+  throw new Error("Unreachable");
+}
+
+// Lifted from openai's package
+export interface LLMMessage {
+  /**
+   * The contents of the message. `content` is required for all messages, and may be
+   * null for assistant messages with function calls.
+   */
+  content: string | null;
+
+  /**
+   * The role of the messages author. One of `system`, `user`, `assistant`, or
+   * `function`.
+   */
+  role: "system" | "user" | "assistant" | "function";
+
+  /**
+   * The name of the author of this message. `name` is required if role is
+   * `function`, and it should be the name of the function whose response is in the
+   * `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of
+   * 64 characters.
+   */
+  name?: string;
+
+  /**
+   * The name and arguments of a function that should be called, as generated by the model.
+   */
+  function_call?: {
+    // The name of the function to call.
+    name: string;
+    /**
+     * The arguments to call the function with, as generated by the model in
+     * JSON format. Note that the model does not always generate valid JSON,
+     * and may hallucinate parameters not defined by your function schema.
+     * Validate the arguments in your code before calling your function.
+     */
+    arguments: string;
+  };
+}
+
+// Non-streaming chat completion response
+interface CreateChatCompletionResponse {
+  id: string;
+  object: string;
+  created: number;
+  model: string;
+  choices: {
+    index?: number;
+    message?: {
+      role: "system" | "user" | "assistant";
+      content: string;
+    };
+    finish_reason?: string;
+  }[];
+  usage?: {
+    completion_tokens: number;
+
+    prompt_tokens: number;
+
+    total_tokens: number;
+  };
+}
+
+interface CreateEmbeddingResponse {
+  data: {
+    index: number;
+    object: string;
+    embedding: number[];
+  }[];
+  model: string;
+  object: string;
+  usage: {
+    prompt_tokens: number;
+    total_tokens: number;
+  };
+}
+
+export interface CreateChatCompletionRequest {
+  /**
+   * ID of the model to use.
+   * @type {string}
+   * @memberof CreateChatCompletionRequest
+   */
+  model: string;
+  // | 'gpt-4'
+  // | 'gpt-4-0613'
+  // | 'gpt-4-32k'
+  // | 'gpt-4-32k-0613'
+  // | 'gpt-3.5-turbo'
+  // | 'gpt-3.5-turbo-0613'
+  // | 'gpt-3.5-turbo-16k' // <- our default
+  // | 'gpt-3.5-turbo-16k-0613';
+  /**
+   * The messages to generate chat completions for, in the chat format:
+   * https://platform.openai.com/docs/guides/chat/introduction
+   * @type {Array<ChatCompletionRequestMessage>}
+   * @memberof CreateChatCompletionRequest
+   */
+  messages: LLMMessage[];
+  /**
+   * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.  We generally recommend altering this or `top_p` but not both.
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  temperature?: number | null;
+  /**
+   * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  top_p?: number | null;
+  /**
+   * How many chat completion choices to generate for each input message.
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  n?: number | null;
+  /**
+   * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message.
+   * @type {boolean}
+   * @memberof CreateChatCompletionRequest
+   */
+  stream?: boolean | null;
+  /**
+   *
+   * @type {CreateChatCompletionRequestStop}
+   * @memberof CreateChatCompletionRequest
+   */
+  stop?: Array<string> | string;
+  /**
+   * The maximum number of tokens allowed for the generated answer. By default,
+   * the number of tokens the model can return will be (4096 - prompt tokens).
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  max_tokens?: number;
+  /**
+   * Number between -2.0 and 2.0. Positive values penalize new tokens based on
+   * whether they appear in the text so far, increasing the model\'s likelihood
+   * to talk about new topics. See more information about frequency and
+   * presence penalties:
+   * https://platform.openai.com/docs/api-reference/parameter-details
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  presence_penalty?: number | null;
+  /**
+   * Number between -2.0 and 2.0. Positive values penalize new tokens based on
+   * their existing frequency in the text so far, decreasing the model\'s
+   * likelihood to repeat the same line verbatim. See more information about
+   * presence penalties:
+   * https://platform.openai.com/docs/api-reference/parameter-details
+   * @type {number}
+   * @memberof CreateChatCompletionRequest
+   */
+  frequency_penalty?: number | null;
+  /**
+   * Modify the likelihood of specified tokens appearing in the completion.
+   * Accepts a json object that maps tokens (specified by their token ID in the
+   * tokenizer) to an associated bias value from -100 to 100. Mathematically,
+   * the bias is added to the logits generated by the model prior to sampling.
+   * The exact effect will vary per model, but values between -1 and 1 should
+   * decrease or increase likelihood of selection; values like -100 or 100
+   * should result in a ban or exclusive selection of the relevant token.
+   * @type {object}
+   * @memberof CreateChatCompletionRequest
+   */
+  logit_bias?: object | null;
+  /**
+   * A unique identifier representing your end-user, which can help OpenAI to
+   * monitor and detect abuse. Learn more:
+   * https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids
+   * @type {string}
+   * @memberof CreateChatCompletionRequest
+   */
+  user?: string;
+  tools?: {
+    // The type of the tool. Currently, only function is supported.
+    type: "function";
+    function: {
+      /**
+       * The name of the function to be called. Must be a-z, A-Z, 0-9, or
+       * contain underscores and dashes, with a maximum length of 64.
+       */
+      name: string;
+      /**
+       * A description of what the function does, used by the model to choose
+       * when and how to call the function.
+       */
+      description?: string;
+      /**
+       * The parameters the functions accepts, described as a JSON Schema
+       * object. See the guide[1] for examples, and the JSON Schema reference[2]
+       * for documentation about the format.
+       * [1]: https://platform.openai.com/docs/guides/gpt/function-calling
+       * [2]: https://json-schema.org/understanding-json-schema/
+       * To describe a function that accepts no parameters, provide the value
+       * {"type": "object", "properties": {}}.
+       */
+      parameters: object;
+    };
+  }[];
+  /**
+   * Controls which (if any) function is called by the model. `none` means the
+   * model will not call a function and instead generates a message.
+   * `auto` means the model can pick between generating a message or calling a
+   * function. Specifying a particular function via
+   * {"type: "function", "function": {"name": "my_function"}} forces the model
+   * to call that function.
+   *
+   * `none` is the default when no functions are present.
+   * `auto` is the default if functions are present.
+   */
+  tool_choice?:
+    | "none" // none means the model will not call a function and instead generates a message.
+    | "auto" // auto means the model can pick between generating a message or calling a function.
+    // Specifies a tool the model should use. Use to force the model to call
+    // a specific function.
+    | {
+        // The type of the tool. Currently, only function is supported.
+        type: "function";
+        function: { name: string };
+      };
+  // Replaced by "tools"
+  // functions?: {
+  //   /**
+  //    * The name of the function to be called. Must be a-z, A-Z, 0-9, or
+  //    * contain underscores and dashes, with a maximum length of 64.
+  //    */
+  //   name: string;
+  //   /**
+  //    * A description of what the function does, used by the model to choose
+  //    * when and how to call the function.
+  //    */
+  //   description?: string;
+  //   /**
+  //    * The parameters the functions accepts, described as a JSON Schema
+  //    * object. See the guide[1] for examples, and the JSON Schema reference[2]
+  //    * for documentation about the format.
+  //    * [1]: https://platform.openai.com/docs/guides/gpt/function-calling
+  //    * [2]: https://json-schema.org/understanding-json-schema/
+  //    * To describe a function that accepts no parameters, provide the value
+  //    * {"type": "object", "properties": {}}.
+  //    */
+  //   parameters: object;
+  // }[];
+  // /**
+  //  * Controls how the model responds to function calls. "none" means the model
+  //  * does not call a function, and responds to the end-user. "auto" means the
+  //  * model can pick between an end-user or calling a function. Specifying a
+  //  * particular function via {"name":\ "my_function"} forces the model to call
+  //  *  that function.
+  //  * - "none" is the default when no functions are present.
+  //  * - "auto" is the default if functions are present.
+  //  */
+  // function_call?: 'none' | 'auto' | { name: string };
+  /**
+   * An object specifying the format that the model must output.
+   *
+   * Setting to { "type": "json_object" } enables JSON mode, which guarantees
+   * the message the model generates is valid JSON.
+   * *Important*: when using JSON mode, you must also instruct the model to
+   * produce JSON yourself via a system or user message. Without this, the model
+   * may generate an unending stream of whitespace until the generation reaches
+   * the token limit, resulting in a long-running and seemingly "stuck" request.
+   * Also note that the message content may be partially cut off if
+   * finish_reason="length", which indicates the generation exceeded max_tokens
+   * or the conversation exceeded the max context length.
+   */
+  response_format?: { type: "text" | "json_object" };
+}
+
+// Checks whether a suffix of s1 is a prefix of s2. For example,
+// ('Hello', 'Kira:') -> false
+// ('Hello Kira', 'Kira:') -> true
+const suffixOverlapsPrefix = (s1: string, s2: string) => {
+  for (let i = 1; i <= Math.min(s1.length, s2.length); i++) {
+    const suffix = s1.substring(s1.length - i);
+    const prefix = s2.substring(0, i);
+    if (suffix === prefix) {
+      return true;
+    }
+  }
+  return false;
+};
+
+export class ChatCompletionContent {
+  private readonly completion: AsyncIterable<ChatCompletionChunk>;
+  private readonly stopWords: string[];
+
+  constructor(
+    completion: AsyncIterable<ChatCompletionChunk>,
+    stopWords: string[]
+  ) {
+    this.completion = completion;
+    this.stopWords = stopWords;
+  }
+
+  async *readInner() {
+    for await (const chunk of this.completion) {
+      yield chunk.choices[0].delta.content;
+    }
+  }
+
+  // stop words in OpenAI api don't always work.
+  // So we have to truncate on our side.
+  async *read() {
+    let lastFragment = "";
+    for await (const data of this.readInner()) {
+      lastFragment += data;
+      let hasOverlap = false;
+      for (const stopWord of this.stopWords) {
+        const idx = lastFragment.indexOf(stopWord);
+        if (idx >= 0) {
+          yield lastFragment.substring(0, idx);
+          return;
+        }
+        if (suffixOverlapsPrefix(lastFragment, stopWord)) {
+          hasOverlap = true;
+        }
+      }
+      if (hasOverlap) continue;
+      yield lastFragment;
+      lastFragment = "";
+    }
+    yield lastFragment;
+  }
+
+  async readAll() {
+    let allContent = "";
+    for await (const chunk of this.read()) {
+      allContent += chunk;
+    }
+    return allContent;
+  }
+}
+
+export async function ollamaFetchEmbedding(text: string) {
+  const { result } = await retryWithBackoff(async () => {
+    const resp = await fetch(apiUrl("/api/embeddings"), {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({ model: LLM_CONFIG.embeddingModel, prompt: text }),
+    });
+    if (resp.status === 404) {
+      const error = await resp.text();
+      await tryPullOllama(LLM_CONFIG.embeddingModel, error);
+      throw new Error(`Failed to fetch embeddings: ${resp.status}`);
+    }
+    return (await resp.json()).embedding as number[];
+  });
+  return { embedding: result };
+}

patches/patches/music.ts

@@ -0,0 +1,135 @@
+import { v } from 'convex/values';
+import { query, internalMutation } from './_generated/server';
+import Replicate, { WebhookEventType } from 'replicate';
+import { httpAction, internalAction } from './_generated/server';
+import { internal, api } from './_generated/api';
+
+function client(): Replicate {
+  const replicate = new Replicate({
+    auth: process.env.REPLICATE_API_TOKEN || '',
+  });
+  return replicate;
+}
+
+function replicateAvailable(): boolean {
+  return !!process.env.REPLICATE_API_TOKEN;
+}
+
+export const insertMusic = internalMutation({
+  args: { storageId: v.string(), type: v.union(v.literal('background'), v.literal('player')) },
+  handler: async (ctx, args) => {
+    await ctx.db.insert('music', {
+      storageId: args.storageId,
+      type: args.type,
+    });
+  },
+});
+
+export const getBackgroundMusic = query({
+  handler: async (ctx) => {
+    const music = await ctx.db
+      .query('music')
+      .filter((entry) => entry.eq(entry.field('type'), 'background'))
+      .order('desc')
+      .first();
+    if (!music) {
+      return '/assets/background.mp3';
+    }
+    const url = await ctx.storage.getUrl(music.storageId);
+    if (!url) {
+      throw new Error(`Invalid storage ID: ${music.storageId}`);
+    }
+    return url;
+  },
+});
+
+export const enqueueBackgroundMusicGeneration = internalAction({
+  handler: async (ctx): Promise<void> => {
+    if (!replicateAvailable()) {
+      return;
+    }
+    const worldStatus = await ctx.runQuery(api.world.defaultWorldStatus);
+    if (!worldStatus) {
+      console.log('No active default world, returning.');
+      return;
+    }
+    // TODO: MusicGen-Large on Replicate only allows 30 seconds. Use MusicGen-Small for longer?
+    await generateMusic('16-bit RPG adventure game with wholesome vibe', 30);
+  },
+});
+
+export const handleReplicateWebhook = httpAction(async (ctx, request) => {
+  const req = await request.json();
+  if (req.id) {
+    const prediction = await client().predictions.get(req.id);
+    const response = await fetch(prediction.output);
+    const music = await response.blob();
+    const storageId = await ctx.storage.store(music);
+    await ctx.runMutation(internal.music.insertMusic, { type: 'background', storageId });
+  }
+  return new Response();
+});
+
+enum MusicGenNormStrategy {
+  Clip = 'clip',
+  Loudness = 'loudness',
+  Peak = 'peak',
+  Rms = 'rms',
+}
+
+enum MusicGenFormat {
+  wav = 'wav',
+  mp3 = 'mp3',
+}
+
+/**
+ *
+ * @param prompt A description of the music you want to generate.
+ * @param duration Duration of the generated audio in seconds.
+ * @param webhook webhook URL for Replicate to call when @param webhook_events_filter is triggered
+ * @param webhook_events_filter Array of event names to filter the webhook. See https://replicate.com/docs/reference/http#predictions.create--webhook_events_filter
+ * @param normalization_strategy Strategy for normalizing audio.
+ * @param top_k Reduces sampling to the k most likely tokens.
+ * @param top_p Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
+ * @param temperature Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.
+ * @param classifer_free_gudance Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.
+ * @param output_format Output format for generated audio. See @
+ * @param seed Seed for random number generator. If None or -1, a random seed will be used.
+ * @returns object containing metadata of the prediction with ID to fetch once result is completed
+ */
+export async function generateMusic(
+  prompt: string,
+  duration: number,
+  webhook: string = process.env.CONVEX_SITE_URL + '/replicate_webhook' || '',
+  webhook_events_filter: [WebhookEventType] = ['completed'],
+  normalization_strategy: MusicGenNormStrategy = MusicGenNormStrategy.Peak,
+  output_format: MusicGenFormat = MusicGenFormat.mp3,
+  top_k = 250,
+  top_p = 0,
+  temperature = 1,
+  classifer_free_gudance = 3,
+  seed = -1,
+  model_version = 'large',
+) {
+  if (!replicateAvailable()) {
+    throw new Error('Replicate API token not set');
+  }
+  return await client().predictions.create({
+    // https://replicate.com/facebookresearch/musicgen/versions/7a76a8258b23fae65c5a22debb8841d1d7e816b75c2f24218cd2bd8573787906
+    version: '7a76a8258b23fae65c5a22debb8841d1d7e816b75c2f24218cd2bd8573787906',
+    input: {
+      model_version,
+      prompt,
+      duration,
+      normalization_strategy,
+      top_k,
+      top_p,
+      temperature,
+      classifer_free_gudance,
+      output_format,
+      seed,
+    },
+    webhook,
+    webhook_events_filter,
+  });
+}

patches/patches/run.sh

@@ -0,0 +1,27 @@
+#!/bin/bash
+run_convex_command() {
+    npx convex "$@" --admin-key 0135d8598650f8f5cb0f30c34ec2e2bb62793bc28717c8eb6fb577996d50be5f4281b59181095065c5d0f86a2c31ddbe9b597ec62b47ded69782cd --url "http://0.0.0.0:3210"
+}
+
+./convex-local-backend &
+run_convex_command env set LLM_API_KEY $HF_TOKEN &
+run_convex_command dev --run init --until-success &
+run_convex_command deploy &
+
+# run_convex_command dev --run init --until-success &
+# run_convex_command dev --tail-logs &
+# you need to set VITE_CONVEX_URL to the Vite Server proxied version
+if [ -z "$SPACE_HOST" ]; then
+    export VITE_CONVEX_URL=http://localhost:5173/backend.convex.cloud
+else
+    export VITE_CONVEX_URL=https://$SPACE_HOST/backend.convex.cloud
+fi
+
+export VITE_OAUTH_CLIENT_ID=$OAUTH_CLIENT_ID
+# Unsure if the following are necessary
+# export OAUTH_CLIENT_SECRET=$OAUTH_CLIENT_SECRET
+# export OAUTH_SCOPES=$OAUTH_SCOPES
+# export OPENID_PROVIDER_URL=$OPENID_PROVIDER_URL
+
+npm run dev:frontend -- --host 0.0.0.0 &
+run_convex_command dev

patches/patches/vite.config.ts

@@ -0,0 +1,18 @@
+import { defineConfig } from 'vite';
+import react from '@vitejs/plugin-react';
+
+// https://vitejs.dev/config/
+export default defineConfig({
+  base: '/',
+  plugins: [react()],
+  server: {
+    proxy: {
+      '/backend.convex.cloud': {
+        target: 'ws://0.0.0.0:3210',
+        changeOrigin: true,
+        ws: true,
+        rewrite: (path) => path.replace(/^\/backend\.convex\.cloud/, '/'),
+      },
+    },
+  },
+});

patches/{world.ts → patches/world.ts}

@@ -107,6 +107,7 @@ export const userStatus = query({
     if (!oauthToken) {
      return null;
     }
+    console.log("oauthToken", oauthToken)
     return oauthToken;
   },
 });
@@ -143,7 +144,7 @@ export const joinWorld = mutation({
       return await insertInput(ctx, world._id, 'join', {
         name: oauthToken,
         character: randomCharacter.character,
-        description: `${oauthToken} is a Human player !`,
+        description: "This is you !",
         tokenIdentifier: oauthToken,
       });
     },
@@ -159,6 +160,7 @@ export const leaveWorld = mutation({
     const { worldId, oauthToken } = args;
     
     
+    console.log('OAuth Name:', oauthToken);
     if (!oauthToken) {
       throw new ConvexError(`Not logged in`);
     }

patches/run.sh

@@ -17,11 +17,5 @@ else
     export VITE_CONVEX_URL=https://$SPACE_HOST/backend.convex.cloud
 fi
 
-export VITE_OAUTH_CLIENT_ID=$OAUTH_CLIENT_ID
-# Unsure if the following are necessary
-# export OAUTH_CLIENT_SECRET=$OAUTH_CLIENT_SECRET
-# export OAUTH_SCOPES=$OAUTH_SCOPES
-# export OPENID_PROVIDER_URL=$OPENID_PROVIDER_URL
-
 npm run dev:frontend -- --host 0.0.0.0 &
 run_convex_command dev