add docs

Author: alexzhang13

.github/workflows/docs.yml

@@ -0,0 +1,61 @@
+name: Deploy Docs to GitHub Pages
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'docs/**'
+      - '.github/workflows/docs.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+          cache: 'npm'
+          cache-dependency-path: docs/package-lock.json
+
+      - name: Install dependencies
+        working-directory: docs
+        run: npm ci
+
+      - name: Build
+        working-directory: docs
+        run: npm run build
+
+      - name: Setup Pages
+        uses: actions/configure-pages@v4
+
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: docs/out
+
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    needs: build
+    steps:
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4
+

README.md

@@ -25,20 +25,6 @@
   </a>
 </p>
 
-## Table of Contents
-
-- [Overview](#overview)
-- [Quick Setup](#quick-setup)
-- [REPL Environments](#repl-environments)
-  - [Local Environments](#local-environments)
-    - [Docker](#docker-img-srcgithubcomdockerpng-altdocker-height20-stylevertical-align-middle-requires-docker-installed)
-  - [Isolated Environments](#isolated-environments)
-    - [Modal Sandboxes](#modal-sandboxes-img-srcgithubcommodal-labspng-altmodal-height20-stylevertical-align-middle)
-    - [Prime Intellect Sandboxes](#prime-intellect-sandboxes-img-srcgithubcomprimeintellect-aipng-altprime-intellect-height20-stylevertical-align-middle)
-- [Model Providers](#model-providers)
-- [Relevant Reading](#relevant-reading)
-- [Optional Debugging: Visualizing RLM Trajectories](#optional-debugging-visualizing-rlm-trajectories)
-
 ## Overview
 Recursive Language Models (RLMs) are a task-agnostic inference paradigm for language models (LMs) to handle near-infinite length contexts by enabling the LM to *programmatically* examine, decompose, and recursively call itself over its input. RLMs replace the canonical `llm.completion(prompt, model)` call with a `rlm.completion(prompt, model)` call. RLMs offload the context as a variable in a REPL environment that the LM can interact with and launch sub-LM calls inside of.
 
@@ -70,16 +56,16 @@ The default RLM object uses a REPL environment that runs on the host process thr
 from rlm import RLM
 
 rlm = RLM(
-    backend="portkey",
-    backend_kwargs={"model_name": "@openai/gpt-5-nano"},
+    backend="openai",
+    backend_kwargs={"model_name": "gpt-5-nano"},
     verbose=True,  # For printing to console with rich, disabled by default.
 )
 
 print(rlm.completion("Print me the first 100 powers of two, each on a newline.").response)
 ```
 
 ## REPL Environments
-We support two types of REPL environments -- isolated, and non-isolated. Non-isolated environments (default) run code execution on the same machine as the RLM (e.g. through `exec`), which is relatively safe but can potentially be problematic. Fully isolated environments used Cloud-based sandboxes (e.g. Prime Sandboxes, [Modal Sandboxes](https://modal.com/docs/guide/sandboxes)) to run code generated by the RLM, ensuring completely isolation from the host process. Environments can be added, but we natively support the following: `local` (default), `modal`, `prime`.
+We support two types of REPL environments -- isolated, and non-isolated. Non-isolated environments (default) run code execution on the same machine as the RLM (e.g. through `exec`), which is pretty reasonable for some local low-risk tasks, like simple benchmarking, but can be problematic if the prompts or tool calls can interact with malicious users. Fully isolated environments used Cloud-based sandboxes (e.g. Prime Sandboxes, [Modal Sandboxes](https://modal.com/docs/guide/sandboxes)) to run code generated by the RLM, ensuring completely isolation from the host process. Environments can be added, but we natively support the following: `local` (default), `modal`, `prime`.
 
 ```python
 rlm = RLM(

docs/.gitignore

@@ -0,0 +1,35 @@
+# dependencies
+node_modules/
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+.env
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
+