add docs

README.md

@@ -1,6 +1,6 @@
 # Eliza
 
-<img src="./docs/eliza_banner.png" alt="Eliza Banner" width="100%">
+<img src="./docs/eliza_banner.jpg" alt="Eliza Banner" width="100%">
 
 *As seen powering [@DegenSpartanAI](https://x.com/degenspartanai) and [@MarcAIndreessen](https://x.com/pmairca)*
 

docs/.gitignore

@@ -0,0 +1,18 @@
+# Dependencies
+/node_modules
+
+# Production
+/build
+
+# Generated files
+.docusaurus
+.cache-loader
+
+# Misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*

docs/.prettierrc.json

@@ -0,0 +1 @@
+{}

docs/README.md

@@ -0,0 +1,119 @@
+# Eliza Documentation Site
+
+This the official documentation site of eliza. A flexible, scalable and customizable agent for production apps. which  Comes with batteries-including database, deployment and examples using Supabase and Cloudflare. 
+
+### Installation
+Currently eliza is dependent on Supabase for local development. You can install it with the following command:
+
+
+    npm install eliza
+
+# Select your database adapter
+
+      npm install sqlite-vss better-sqlite3 # for sqlite (simple, for local development)
+ ```     
+      
+      npm install @supabase/supabase-js # for supabase (more complicated but can be deployed at scale)
+```
+
+
+### Set up environment variables
+
+You will need a Supbase account, as well as an OpenAI developer account.
+
+Copy and paste the .dev.vars.example to .dev.vars and fill in the environment variables:
+
+  SUPABASE_URL="https://your-supabase-url.supabase.co"
+  SUPABASE_SERVICE_API_KEY="your-supabase-service-api-key"
+  OPENAI_API_KEY="your-openai-api-key"
+
+### SQLite Local Setup (Easiest)
+You can use SQLite for local development. This is the easiest way to get started with eliza.
+
+    import { BgentRuntime, SqliteDatabaseAdapter } from "eliza";
+    import { Database } from "sqlite3";
+    const sqliteDatabaseAdapter = new SqliteDatabaseAdapter(new Database(":memory:"));
+
+    const runtime = new BgentRuntime({
+      serverUrl: "https://api.openai.com/v1",
+      token: process.env.OPENAI_API_KEY, // Can be an API key or JWT token for your AI services
+      databaseAdapter: sqliteDatabaseAdapter,
+      // ... other options
+    });
+
+### Supabase Local Setup
+First, you will need to install the Supabase CLI. You can install it using the instructions here.
+
+Once you have the CLI installed, you can run the following commands to set up a local Supabase instance:
+
+    supabase init
+```
+
+supabase start
+```
+
+You can now start the eliza project with  `npm run dev`   and it will connect to the local Supabase instance by default.
+
+NOTE: You will need Docker installed for this to work. If that is an issue for you, use the Supabase Cloud Setup instructions instead below).
+
+### Supabase Cloud Setup
+This library uses Supabase as a database. You can set up a free account at supabase.io and create a new project.
+
+* Step 1: On the Subase All Projects Dashboard, select “New Project”.
+* Step 2: Select the organization to store the new project in, assign a database name, password and region.
+* Step 3: Select “Create New Project”.
+* Step 4: Wait for the database to setup. This will take a few minutes as supabase setups various directories.
+* Step 5: Select the “SQL Editor” tab from the left navigation menu.
+* Step 6: Copy in your own SQL dump file or optionally use the provided file in the eliza directory at: "src/supabase/db.sql". Note: You can use the command "supabase db dump" if you have a pre-exisiting supabase database to generate the SQL dump file.
+* Step 7: Paste the SQL code into the SQL Editor and hit run in the bottom right.
+* Step 8: Select the “Databases” tab from the left navigation menu to verify all of the tables have been added properly.
+
+Once you've set up your Supabase project, you can find your API key by going to the "Settings" tab and then "API". You will need to set the` SUPABASE_URL and SUPABASE_SERVICE_API_KEY` environment variables in your `.dev.vars` file.
+
+### Local Model Setup
+
+While eliza uses ChatGPT 3.5 by default, you can use a local model by setting the serverUrl to a local endpoint. The LocalAI project is a great way to run a local model with a compatible API endpoint.
+
+    const runtime = new BgentRuntime({
+      serverUrl: process.env.LOCALAI_URL,
+      token: process.env.LOCALAI_TOKEN, // Can be an API key or JWT token for your AI service
+      // ... other options
+    });
+
+
+### Development
+
+    npm run dev # start the server
+```
+npm run shell # start the shell in another terminal to talk to the default agent
+```
+### Usage
+      import { BgentRuntime, SupabaseDatabaseAdapter, SqliteDatabaseAdapter } from "eliza";
+      
+      const sqliteDatabaseAdapter = new SqliteDatabaseAdapter(new Database(":memory:"));
+      
+      ```
+      // You can also use Supabase like this
+      // const supabaseDatabaseAdapter = new SupabaseDatabaseAdapter(
+      //   process.env.SUPABASE_URL,
+      //   process.env.SUPABASE_SERVICE_API_KEY)
+      //   ;
+      
+      ```
+      const runtime = new BgentRuntime({
+        serverUrl: "https://api.openai.com/v1",
+        token: process.env.OPENAI_API_KEY, // Can be an API key or JWT token for your AI services
+        databaseAdapter: sqliteDatabaseAdapter,
+        actions: [
+          /* your custom actions */
+        ],
+        evaluators: [
+          /* your custom evaluators */
+        ],
+        model: "gpt-3.5-turbo", // whatever model you want to use
+        embeddingModel: "text-embedding-3-small", // whatever model you want to use
+      });
+
+
+### what next?
+it is good to interact with the  eliza and read more about the documentation on https://www.eliza.org/docs

docs/babel.config.js

@@ -0,0 +1,3 @@
+module.exports = {
+  presets: [require.resolve('@docusaurus/core/lib/babel/preset')],
+};

docs/docs/_category_.yml

@@ -0,0 +1 @@
+label: "API"