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hf-doc-build/doc-dev / openenv /pr_825 /en /_app /immutable /nodes /6.6861ba7a.js

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	import{s as kn,n as $n,o as Wn}from"../chunks/scheduler.2b22cead.js";import{S as En,i as Rn,e as c,s as n,c as i,h as Gn,a as m,d as l,b as a,f as Bn,g as r,j as y,k as An,l as Sn,m as s,n as M,t as o,o as d,p}from"../chunks/index.1a0e8013.js";import{C as Nn,H as T,E as Zn}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.7f73f2f2.js";import{C as u}from"../chunks/CodeBlock.2e3ed464.js";function Qn(Cs){let J,he,je,fe,U,ge,w,Ie,j,Bs="BrowserGym is a unified framework for web-based agent tasks that provides access to multiple benchmarks under a single Gymnasium-compatible API. This integration brings the complete training-to-evaluation pipeline for web agents into OpenEnv.",ve,b,Ce,h,As="BrowserGym provides a complete pipeline for developing web agents: train on simple tasks, then evaluate on realistic websites.",Be,f,ks="<strong>What are these benchmarks?</strong>",Ae,g,$s="<li><p><strong>MiniWoB++ (Training)</strong>: 100+ synthetic web tasks like “click this button”, “fill out this form”, “select from dropdown”. Each task is a simple webpage with a clear objective. Fast resets, randomized variations, dense rewards. Perfect for learning basic web navigation skills. <strong>No external setup needed</strong> - tasks run in isolated browser sessions.</p></li> <li><p><strong>WebArena (Evaluation)</strong>: 812 tasks on real websites (e-commerce, forums, GitLab, Wikipedia). Tasks like “find the cheapest laptop and add to cart” or “create a merge request for bug #123”. Multistep, requires reasoning, sparse rewards. Tests if your agent can handle actual websites. <strong>Requires running 7 backend services</strong> (shopping site, GitLab instance, etc.).</p></li> <li><p><strong>VisualWebArena</strong>: Similar to WebArena but requires visual understanding - agents need to interpret images, identify UI elements visually, handle multimodal content.</p></li> <li><p><strong>WorkArena</strong>: Enterprise software tasks (CRM, project management, business workflows). Tests automation on corporate-style applications.</p></li>",ke,I,Ws="<strong>The training → evaluation pipeline:</strong>",$e,v,Es="<li>Train on MiniWoB (simple, controlled, fast iterations)</li> <li>Evaluate on WebArena (complex, realistic, measures real-world capability)</li>",We,C,Rs="<strong>Key advantage</strong>: You can start training immediately with MiniWoB. No need to set up infrastructure just to test if your code works.",Ee,B,Re,A,Ge,k,Se,$,Ne,W,Gs=`If you want BrowserGym to participate in a tool-driven harness instead of a
	hand-written <code>env.reset()</code> / <code>env.step()</code> loop, use the BrowserGym session
	factory:`,Ze,E,Qe,R,Ss=`BrowserGym exposes <code>click</code>, <code>fill</code>, <code>send_keys</code>, <code>scroll</code>, and <code>noop</code> as MCP-style
	tools while still translating them back into the underlying <code>BrowserGymAction</code>
	strings. See <a href="https://github.com/huggingface/OpenEnv/blob/main/examples/browsergym_harness.py" rel="nofollow">examples/browsergym_harness.py</a>
	for a full TRL-oriented example.`,Ve,G,Ye,S,He,N,Ns="MiniWoB tasks are organized by difficulty and type. Here are the main categories:",_e,Z,Zs="<strong>Click Tasks</strong> (Basic interaction)",Xe,Q,Qs="<thead><tr><th>Task Name</th> <th>Description</th> <th>Difficulty</th></tr></thead> <tbody><tr><td><code>click-test</code></td> <td>Click a single button</td> <td>⭐ Easy</td></tr> <tr><td><code>click-button</code></td> <td>Click button with specific text</td> <td>⭐ Easy</td></tr> <tr><td><code>click-button-sequence</code></td> <td>Click buttons in order</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-checkboxes</code></td> <td>Select specific checkboxes</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-checkboxes-soft</code></td> <td>Select checkboxes (multiple valid)</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-checkboxes-large</code></td> <td>Many checkboxes to select from</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-checkboxes-transfer</code></td> <td>Transfer learning variation</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-dialog</code></td> <td>Click correct button in dialog</td> <td>⭐ Easy</td></tr> <tr><td><code>click-dialog-2</code></td> <td>More complex dialog</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-link</code></td> <td>Click on a link</td> <td>⭐ Easy</td></tr> <tr><td><code>click-option</code></td> <td>Select from dropdown</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-pie</code></td> <td>Click on pie chart slice</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-scroll-list</code></td> <td>Click item in scrollable list</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>click-shades</code></td> <td>Click on specific color shade</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-shape</code></td> <td>Click on specific shape</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-tab</code></td> <td>Switch between tabs</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>click-tab-2</code></td> <td>More complex tab switching</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>click-widget</code></td> <td>Click on UI widget</td> <td>⭐⭐ Medium</td></tr></tbody>",Fe,V,Vs="<strong>Text Entry Tasks</strong> (Typing and forms)",qe,Y,Ys="<thead><tr><th>Task Name</th> <th>Description</th> <th>Difficulty</th></tr></thead> <tbody><tr><td><code>enter-text</code></td> <td>Type text into input field</td> <td>⭐ Easy</td></tr> <tr><td><code>enter-text-dynamic</code></td> <td>Dynamic text entry</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>enter-text-2</code></td> <td>Multiple text fields</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>enter-password</code></td> <td>Fill password field</td> <td>⭐ Easy</td></tr> <tr><td><code>enter-date</code></td> <td>Enter a date</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>enter-time</code></td> <td>Enter a time</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>login-user</code></td> <td>Complete login form</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>login-user-popup</code></td> <td>Login via popup</td> <td>⭐⭐⭐ Hard</td></tr></tbody>",xe,H,Hs="<strong>Navigation Tasks</strong> (Multi-step interaction)",ze,_,_s="<thead><tr><th>Task Name</th> <th>Description</th> <th>Difficulty</th></tr></thead> <tbody><tr><td><code>navigate-tree</code></td> <td>Navigate through tree structure</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>search-engine</code></td> <td>Use search interface</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>use-autocomplete</code></td> <td>Interact with autocomplete</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>book-flight</code></td> <td>Book a flight (complex form)</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>choose-date</code></td> <td>Pick date from calendar</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>choose-date-easy</code></td> <td>Simplified date picker</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>choose-date-medium</code></td> <td>Medium difficulty date picker</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>choose-list</code></td> <td>Select from long list</td> <td>⭐⭐ Medium</td></tr></tbody>",Le,X,Xs="<strong>Visual/Spatial Tasks</strong> (Requires visual understanding)",De,F,Fs="<thead><tr><th>Task Name</th> <th>Description</th> <th>Difficulty</th></tr></thead> <tbody><tr><td><code>count-sides</code></td> <td>Count sides of shape</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>count-shape</code></td> <td>Count specific shapes</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>find-word</code></td> <td>Find word in text</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>focus-text</code></td> <td>Focus on text element</td> <td>⭐ Easy</td></tr> <tr><td><code>focus-text-2</code></td> <td>More complex focus task</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>grid-coordinate</code></td> <td>Click grid coordinate</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>guess-number</code></td> <td>Guess a number game</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>identify-shape</code></td> <td>Identify shape type</td> <td>⭐⭐ Medium</td></tr> <tr><td><code>read-table</code></td> <td>Extract info from table</td> <td>⭐⭐⭐ Hard</td></tr> <tr><td><code>read-table-2</code></td> <td>More complex table reading</td> <td>⭐⭐⭐ Hard</td></tr></tbody>",Oe,q,qs="<strong>Email/Social Tasks</strong> (Realistic scenarios)",Pe,x,xs="<thead><tr><th>Task Name</th> <th>Description</th> <th>Difficulty</th></tr></thead> <tbody><tr><td><code>email-inbox</code></td> <td>Manage email inbox</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>email-inbox-forward</code></td> <td>Forward emails</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>email-inbox-nl</code></td> <td>Natural language email task</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>email-inbox-star-reply</code></td> <td>Star and reply to emails</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>social-media</code></td> <td>Social media interaction</td> <td>⭐⭐⭐⭐ Very Hard</td></tr> <tr><td><code>social-media-some</code></td> <td>Partial social media task</td> <td>⭐⭐⭐ Hard</td></tr></tbody>",Ke,z,zs="<strong>Total:</strong> 100+ tasks across all categories",tl,L,Ls="<strong>Usage:</strong>",el,D,ll,O,sl,P,Ds="WebArena tasks are organized by website and difficulty. Tasks are numbered 0-811.",nl,K,Os="<strong>By Website:</strong>",al,tt,Ps="<thead><tr><th>Website</th> <th>Task Count</th> <th>Description</th> <th>Example Tasks</th></tr></thead> <tbody><tr><td>Shopping</td> <td>~200</td> <td>E-commerce site</td> <td>Search products, add to cart, checkout</td></tr> <tr><td>Shopping Admin</td> <td>~150</td> <td>Admin panel</td> <td>Manage products, orders, customers</td></tr> <tr><td>Reddit</td> <td>~150</td> <td>Forum/social</td> <td>Post, comment, search discussions</td></tr> <tr><td>GitLab</td> <td>~200</td> <td>Code repository</td> <td>Create issues, merge requests, review code</td></tr> <tr><td>Wikipedia</td> <td>~100</td> <td>Knowledge base</td> <td>Search, read, extract information</td></tr> <tr><td>Map</td> <td>~12</td> <td>Location service</td> <td>Find places, get directions</td></tr></tbody>",il,et,Ks="<strong>By Difficulty:</strong>",rl,lt,tn="<thead><tr><th>Difficulty</th> <th>Task Count</th> <th>Steps Required</th> <th>Example</th></tr></thead> <tbody><tr><td>Easy</td> <td>~200</td> <td>1-5 steps</td> <td>“Find the price of product X”</td></tr> <tr><td>Medium</td> <td>~400</td> <td>5-15 steps</td> <td>“Add cheapest laptop to cart”</td></tr> <tr><td>Hard</td> <td>~212</td> <td>15+ steps</td> <td>“Create merge request for bug fix”</td></tr></tbody>",Ml,st,en="<strong>Usage:</strong>",ol,nt,dl,at,ln='<strong>Note:</strong> WebArena tasks require the full backend infrastructure. See <a href="https://github.com/web-arena-x/webarena/tree/main/environment_docker" rel="nofollow">WebArena setup guide</a>.',pl,it,cl,rt,sn="Similar to WebArena but requires visual understanding. Tasks involve:",ml,Mt,nn="<li>Image-based reasoning</li> <li>Visual element identification</li> <li>Multimodal interaction (text + images)</li>",yl,ot,Tl,dt,an="Enterprise software automation tasks:",ul,pt,rn="<li>CRM operations</li> <li>Project management</li> <li>Business workflows</li>",Jl,ct,Mn="<strong>Full task lists:</strong>",Ul,mt,on='<li><a href="https://github.com/Farama-Foundation/miniwob-plusplus/tree/master/miniwob/environment" rel="nofollow">MiniWoB++ tasks</a></li> <li><a href="https://github.com/web-arena-x/webarena/blob/main/config_files/" rel="nofollow">WebArena tasks</a></li> <li><a href="https://github.com/ServiceNow/BrowserGym" rel="nofollow">BrowserGym documentation</a></li>',wl,yt,jl,Tt,bl,ut,dn='WebArena requires setting up backend infrastructure. See the <a href="https://github.com/web-arena-x/webarena/tree/main/environment_docker" rel="nofollow">WebArena documentation</a>.',hl,Jt,fl,Ut,gl,wt,Il,jt,vl,bt,pn="<li><strong>Base Image</strong>: Build the OpenEnv base image first:</li>",Cl,ht,Bl,ft,Al,gt,kl,It,$l,vt,Wl,Ct,El,Bt,Rl,At,Gl,kt,Sl,$t,Nl,Wt,cn="Actions in BrowserGym are natural language strings that describe browser operations:",Zl,Et,Ql,Rt,Vl,Gt,mn="Observations contain multiple modalities:",Yl,St,Hl,Nt,_l,Zt,yn="For VisualWebArena or custom training, you may need additional data like timestamps or browser state. The full BrowserGym observation and info dicts are preserved in <code>metadata</code>:",Xl,Qt,Fl,Vt,ql,Yt,Tn="The environment state tracks progress:",xl,Ht,zl,_t,Ll,Xt,un="Environment variables:",Dl,Ft,Ol,qt,Jn="<li><code>BROWSERGYM_BENCHMARK</code>: Benchmark to use (<code>miniwob</code>, <code>webarena</code>, <code>visualwebarena</code>, <code>workarena</code>)</li> <li><code>BROWSERGYM_TASK_NAME</code>: Specific task name (optional, will use first available if not set)</li> <li><code>BROWSERGYM_HEADLESS</code>: Run browser in headless mode (default: <code>true</code>)</li> <li><code>BROWSERGYM_VIEWPORT_WIDTH</code>: Browser viewport width (default: <code>1280</code>)</li> <li><code>BROWSERGYM_VIEWPORT_HEIGHT</code>: Browser viewport height (default: <code>720</code>)</li> <li><code>BROWSERGYM_TIMEOUT</code>: Action timeout in milliseconds (default: <code>10000</code>)</li>",Pl,xt,Kl,zt,Un="<li><code>SHOPPING</code>: Shopping website URL</li> <li><code>SHOPPING_ADMIN</code>: Shopping admin panel URL</li> <li><code>REDDIT</code>: Reddit-like forum URL</li> <li><code>GITLAB</code>: GitLab instance URL</li> <li><code>MAP</code>: Map service URL</li> <li><code>WIKIPEDIA</code>: Wikipedia instance URL</li> <li><code>HOMEPAGE</code>: Homepage URL</li>",ts,Lt,es,Dt,ls,Ot,wn="<li><strong>100+ tasks</strong> ranging from simple (click buttons) to complex (form filling, navigation)</li> <li><strong>Fast</strong>: Instant resets, quick episodes</li> <li><strong>Randomized</strong>: Task variations for generalization</li> <li><strong>No setup</strong>: Works out-of-the-box</li> <li><strong>Dense rewards</strong>: Immediate feedback for learning</li>",ss,Pt,jn="<strong>Use Case</strong>: Train agents on fundamental web navigation skills",ns,Kt,as,te,bn="<li><strong>812 realistic tasks</strong> across 6 websites</li> <li><strong>Complex</strong>: Multi-step reasoning, real web interfaces</li> <li><strong>Requires setup</strong>: Need to run 7 backend services</li> <li><strong>Sparse rewards</strong>: Binary success/failure</li> <li><strong>Evaluation-focused</strong>: Test real-world performance</li>",is,ee,hn="<strong>Use Case</strong>: Evaluate agents on realistic web tasks",rs,le,Ms,se,fn="<li><strong>910 tasks</strong> requiring visual understanding</li> <li><strong>Multimodal</strong>: Both text and visual observations</li> <li><strong>Requires setup</strong>: Similar to WebArena</li> <li><strong>Challenging</strong>: Requires visual reasoning</li>",os,ne,gn="<strong>Use Case</strong>: Test visual web navigation capabilities",ds,ae,ps,ie,In="<li><strong>Enterprise tasks</strong>: CRM, project management, etc.</li> <li><strong>Realistic workflows</strong>: Real enterprise software</li> <li><strong>Requires setup</strong>: Enterprise software instances</li>",cs,re,vn="<strong>Use Case</strong>: Evaluate on business automation tasks",ms,Me,ys,oe,Ts,de,us,pe,Js,ce,Us,me,ws,ye,js,Te,bs,ue,hs,Je,fs,Ue,Cn='<li><a href="https://github.com/ServiceNow/BrowserGym" rel="nofollow">BrowserGym GitHub</a></li> <li><a href="https://arxiv.org/abs/1802.08802" rel="nofollow">MiniWoB++ Paper</a></li> <li><a href="https://arxiv.org/abs/2307.13854" rel="nofollow">WebArena Paper</a></li> <li><a href="https://webarena.dev/" rel="nofollow">WebArena Website</a></li> <li><a href="https://jykoh.com/vwa" rel="nofollow">VisualWebArena Paper</a></li> <li><a href="https://github.com/huggingface/OpenEnv" rel="nofollow">OpenEnv Documentation</a></li>',gs,we,Is,be,vs;return U=new Nn({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),w=new T({props:{title:"BrowserGym Environment",local:"browsergym-environment",headingTag:"h1"}}),b=new T({props:{title:"Why BrowserGym?",local:"why-browsergym",headingTag:"h2"}}),B=new T({props:{title:"Quick Start - Training (MiniWoB)",local:"quick-start---training-miniwob",headingTag:"h2"}}),A=new T({props:{title:"No Setup Required! 🎉",local:"no-setup-required-",headingTag:"h3"}}),k=new u({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> browsergym_env <span class="hljs-keyword">import</span> BrowserGymEnv, BrowserGymAction

	<span class="hljs-comment"># Create environment for MiniWoB training task</span>
	env = BrowserGymEnv.from_docker_image(
	<span class="hljs-string">"ghcr.io/openenv/browsergym-env:latest"</span>,
	environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"miniwob"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"click-test"</span>, <span class="hljs-comment"># or "click-button", "click-dialog", etc.</span>
	}
	)

	<span class="hljs-comment"># Train your agent!</span>
	<span class="hljs-keyword">for</span> episode <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">1000</span>):
	result = env.reset()
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Goal: <span class="hljs-subst">{result.observation.goal}</span>"</span>)

	done = <span class="hljs-literal">False</span>
	<span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> done:
	<span class="hljs-comment"># Your agent decides what to do</span>
	action_str = agent.get_action(result.observation.text)
	action = BrowserGymAction(action_str=action_str)

	result = env.step(action)
	done = result.done

	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Reward: <span class="hljs-subst">{result.reward}</span>"</span>)

	env.close()`,lang:"python",wrap:!1}}),$=new T({props:{title:"Harness Sessions for TRL",local:"harness-sessions-for-trl",headingTag:"h2"}}),E=new u({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> browsergym_env <span class="hljs-keyword">import</span> BrowserGymEnv
	<span class="hljs-keyword">from</span> browsergym_env.harness <span class="hljs-keyword">import</span> BrowserGymSessionFactory
	<span class="hljs-keyword">from</span> openenv.core.harness <span class="hljs-keyword">import</span> (
	HarnessRunLimits,
	MCPHarnessAdapter,
	build_harness_rollout_func,
	)

	session_factory = BrowserGymSessionFactory(
	client_factory=<span class="hljs-keyword">lambda</span>: BrowserGymEnv(base_url=<span class="hljs-string">"https://openenv-browsergym-env.hf.space"</span>),
	)

	rollout_func = build_harness_rollout_func(
	session_factory=session_factory,
	harness_adapter=MCPHarnessAdapter(),
	model_step_builder=..., <span class="hljs-comment"># trainer-owned model sampling</span>
	limits=HarnessRunLimits(max_turns=<span class="hljs-number">10</span>),
	)`,lang:"python",wrap:!1}}),G=new T({props:{title:"Available Tasks by Benchmark",local:"available-tasks-by-benchmark",headingTag:"h3"}}),S=new T({props:{title:"MiniWoB++ Tasks (Training - 100+ tasks)",local:"miniwob-tasks-training---100-tasks",headingTag:"h4"}}),D=new u({props:{code:"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",highlighted:`<span class="hljs-comment"># Easy task for quick testing</span>
	env = BrowserGymEnv(environment={<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"click-test"</span>})

	<span class="hljs-comment"># Medium difficulty for training</span>
	env = BrowserGymEnv(environment={<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"click-checkboxes"</span>})

	<span class="hljs-comment"># Hard task for evaluation</span>
	env = BrowserGymEnv(environment={<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"email-inbox"</span>})`,lang:"python",wrap:!1}}),O=new T({props:{title:"WebArena Tasks (Evaluation - 812 tasks)",local:"webarena-tasks-evaluation---812-tasks",headingTag:"h4"}}),nt=new u({props:{code:"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",highlighted:`<span class="hljs-comment"># Task 0 (usually easy)</span>
	env = BrowserGymEnv(environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"webarena"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"0"</span>,
	<span class="hljs-string">"SHOPPING"</span>: <span class="hljs-string">"http://your-server:7770"</span>,
	<span class="hljs-comment"># ... other URLs</span>
	})

	<span class="hljs-comment"># Task 156 (GitLab merge request)</span>
	env = BrowserGymEnv(environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"webarena"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"156"</span>,
	<span class="hljs-comment"># ... URLs</span>
	})`,lang:"python",wrap:!1}}),it=new T({props:{title:"VisualWebArena Tasks (910 tasks)",local:"visualwebarena-tasks-910-tasks",headingTag:"h4"}}),ot=new T({props:{title:"WorkArena Tasks",local:"workarena-tasks",headingTag:"h4"}}),yt=new T({props:{title:"Evaluation (WebArena)",local:"evaluation-webarena",headingTag:"h2"}}),Tt=new T({props:{title:"Prerequisites",local:"prerequisites",headingTag:"h3"}}),Jt=new T({props:{title:"Usage",local:"usage",headingTag:"h3"}}),Ut=new u({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.browsergym_env <span class="hljs-keyword">import</span> BrowserGymEnv, BrowserGymAction

	<span class="hljs-comment"># Create environment for WebArena evaluation</span>
	env = BrowserGymEnv.from_docker_image(
	<span class="hljs-string">"ghcr.io/openenv/browsergym-env:latest"</span>,
	environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"webarena"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"0"</span>, <span class="hljs-comment"># Task ID</span>
	<span class="hljs-comment"># WebArena backend URLs (required)</span>
	<span class="hljs-string">"SHOPPING"</span>: <span class="hljs-string">"http://your-server:7770"</span>,
	<span class="hljs-string">"SHOPPING_ADMIN"</span>: <span class="hljs-string">"http://your-server:7780/admin"</span>,
	<span class="hljs-string">"REDDIT"</span>: <span class="hljs-string">"http://your-server:9999"</span>,
	<span class="hljs-string">"GITLAB"</span>: <span class="hljs-string">"http://your-server:8023"</span>,
	<span class="hljs-string">"MAP"</span>: <span class="hljs-string">"http://your-server:3000"</span>,
	<span class="hljs-string">"WIKIPEDIA"</span>: <span class="hljs-string">"http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing"</span>,
	<span class="hljs-string">"HOMEPAGE"</span>: <span class="hljs-string">"http://your-server:4399"</span>,
	}
	)

	<span class="hljs-comment"># Evaluate your trained agent</span>
	result = env.reset()
	<span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
	action_str = agent.get_action(result.observation)
	action = BrowserGymAction(action_str=action_str)
	result = env.step(action)

	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Success: <span class="hljs-subst">{result.reward}</span>"</span>)
	env.close()`,lang:"python",wrap:!1}}),wt=new T({props:{title:"Building the Docker Image",local:"building-the-docker-image",headingTag:"h2"}}),jt=new T({props:{title:"Prerequisites",local:"prerequisites",headingTag:"h3"}}),ht=new u({props:{code:"JTIzJTIwRnJvbSUyMHRoZSUyME9wZW5FbnYlMjByZXBvc2l0b3J5JTIwcm9vdCUwQWRvY2tlciUyMGJ1aWxkJTIwLXQlMjBvcGVuZW52LWJhc2UlM0FsYXRlc3QlMjAtZiUyMHNyYyUyRm9wZW5lbnYlMkZjb3JlJTJGY29udGFpbmVycyUyRmltYWdlcyUyRkRvY2tlcmZpbGUlMjAu",highlighted:`<span class="hljs-comment"># From the OpenEnv repository root</span>
	docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .`,lang:"bash",wrap:!1}}),ft=new T({props:{title:"Build the BrowserGym Environment",local:"build-the-browsergym-environment",headingTag:"h3"}}),gt=new u({props:{code:"JTIzJTIwRnJvbSUyMHRoZSUyMGJyb3dzZXJneW1fZW52JTIwZGlyZWN0b3J5JTBBY2QlMjBlbnZzJTJGYnJvd3Nlcmd5bV9lbnYlMEFkb2NrZXIlMjBidWlsZCUyMC10JTIwYnJvd3Nlcmd5bS1lbnYlM0FsYXRlc3QlMjAtZiUyMHNlcnZlciUyRkRvY2tlcmZpbGUlMjAu",highlighted:`<span class="hljs-comment"># From the browsergym_env directory</span>
	<span class="hljs-built_in">cd</span> envs/browsergym_env
	docker build -t browsergym-env:latest -f server/Dockerfile .`,lang:"bash",wrap:!1}}),It=new T({props:{title:"Run the Server",local:"run-the-server",headingTag:"h3"}}),vt=new T({props:{title:"For MiniWoB (Training):",local:"for-miniwob-training",headingTag:"h4"}}),Ct=new u({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMCU1QyUwQSUyMCUyMC1lJTIwQlJPV1NFUkdZTV9CRU5DSE1BUkslM0QlMjJtaW5pd29iJTIyJTIwJTVDJTBBJTIwJTIwLWUlMjBCUk9XU0VSR1lNX1RBU0tfTkFNRSUzRCUyMmNsaWNrLXRlc3QlMjIlMjAlNUMlMEElMjAlMjBicm93c2VyZ3ltLWVudiUzQWxhdGVzdA==",highlighted:`docker run -p 8000:8000 \\
	-e BROWSERGYM_BENCHMARK=<span class="hljs-string">"miniwob"</span> \\
	-e BROWSERGYM_TASK_NAME=<span class="hljs-string">"click-test"</span> \\
	browsergym-env:latest`,lang:"bash",wrap:!1}}),Bt=new T({props:{title:"For WebArena (Evaluation):",local:"for-webarena-evaluation",headingTag:"h4"}}),At=new u({props:{code:"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",highlighted:`docker run -p 8000:8000 \\
	-e BROWSERGYM_BENCHMARK=<span class="hljs-string">"webarena"</span> \\
	-e BROWSERGYM_TASK_NAME=<span class="hljs-string">"0"</span> \\
	-e SHOPPING=<span class="hljs-string">"http://your-server:7770"</span> \\
	-e SHOPPING_ADMIN=<span class="hljs-string">"http://your-server:7780/admin"</span> \\
	-e REDDIT=<span class="hljs-string">"http://your-server:9999"</span> \\
	-e GITLAB=<span class="hljs-string">"http://your-server:8023"</span> \\
	-e MAP=<span class="hljs-string">"http://your-server:3000"</span> \\
	-e WIKIPEDIA=<span class="hljs-string">"http://your-server:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing"</span> \\
	-e HOMEPAGE=<span class="hljs-string">"http://your-server:4399"</span> \\
	browsergym-env:latest`,lang:"bash",wrap:!1}}),kt=new T({props:{title:"Environment Details",local:"environment-details",headingTag:"h2"}}),$t=new T({props:{title:"Action",local:"action",headingTag:"h3"}}),Et=new u({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.browsergym_env <span class="hljs-keyword">import</span> BrowserGymAction

	<span class="hljs-comment"># Click actions</span>
	action = BrowserGymAction(action_str=<span class="hljs-string">"click('Submit button')"</span>)
	action = BrowserGymAction(action_str=<span class="hljs-string">"click('element_id_123')"</span>)

	<span class="hljs-comment"># Type actions</span>
	action = BrowserGymAction(action_str=<span class="hljs-string">"fill('username', 'john@example.com')"</span>)
	action = BrowserGymAction(action_str=<span class="hljs-string">"fill('password', 'secret123')"</span>)

	<span class="hljs-comment"># Navigate actions</span>
	action = BrowserGymAction(action_str=<span class="hljs-string">"goto('https://example.com')"</span>)

	<span class="hljs-comment"># Keyboard actions</span>
	action = BrowserGymAction(action_str=<span class="hljs-string">"press('Enter')"</span>)
	action = BrowserGymAction(action_str=<span class="hljs-string">"press('Tab')"</span>)

	<span class="hljs-comment"># Scroll actions</span>
	action = BrowserGymAction(action_str=<span class="hljs-string">"scroll('down')"</span>)`,lang:"python",wrap:!1}}),Rt=new T({props:{title:"Observation",local:"observation",headingTag:"h3"}}),St=new u({props:{code:"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",highlighted:`result = env.step(action)
	obs = result.observation

	<span class="hljs-comment"># Text observations</span>
	<span class="hljs-built_in">print</span>(obs.text) <span class="hljs-comment"># Primary text representation (AXTree or DOM)</span>
	<span class="hljs-built_in">print</span>(obs.axtree_txt) <span class="hljs-comment"># Accessibility tree</span>
	<span class="hljs-built_in">print</span>(obs.pruned_html) <span class="hljs-comment"># Pruned HTML (interactive elements only)</span>

	<span class="hljs-comment"># Page metadata</span>
	<span class="hljs-built_in">print</span>(obs.url) <span class="hljs-comment"># Current URL</span>
	<span class="hljs-built_in">print</span>(obs.goal) <span class="hljs-comment"># Task goal/instruction</span>

	<span class="hljs-comment"># Visual (if enabled)</span>
	<span class="hljs-keyword">if</span> obs.screenshot <span class="hljs-keyword">is</span> <span class="hljs-keyword">not</span> <span class="hljs-literal">None</span>:
	<span class="hljs-built_in">print</span>(obs.screenshot.shape) <span class="hljs-comment"># [height, width, channels]</span>

	<span class="hljs-comment"># Error handling</span>
	<span class="hljs-keyword">if</span> obs.last_action_error:
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Action failed: <span class="hljs-subst">{obs.error}</span>"</span>)

	<span class="hljs-comment"># Episode status</span>
	<span class="hljs-built_in">print</span>(obs.done) <span class="hljs-comment"># True if episode ended</span>
	<span class="hljs-built_in">print</span>(obs.reward) <span class="hljs-comment"># Reward for the step</span>

	<span class="hljs-comment"># Access full BrowserGym data (includes timestamps, etc.)</span>
	<span class="hljs-built_in">print</span>(obs.metadata[<span class="hljs-string">"browsergym_obs"</span>]) <span class="hljs-comment"># Full observation dict from BrowserGym</span>
	<span class="hljs-built_in">print</span>(obs.metadata[<span class="hljs-string">"browsergym_info"</span>]) <span class="hljs-comment"># Full info dict (timestamps, page state, etc.)</span>`,lang:"python",wrap:!1}}),Nt=new T({props:{title:"Advanced: Accessing Raw BrowserGym Data",local:"advanced-accessing-raw-browsergym-data",headingTag:"h4"}}),Qt=new u({props:{code:"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",highlighted:`result = env.step(action)

	<span class="hljs-comment"># Access timestamps (if available)</span>
	info = result.observation.metadata[<span class="hljs-string">"browsergym_info"</span>]
	<span class="hljs-keyword">if</span> <span class="hljs-string">"timestamp"</span> <span class="hljs-keyword">in</span> info:
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Action timestamp: <span class="hljs-subst">{info[<span class="hljs-string">'timestamp'</span>]}</span>"</span>)

	<span class="hljs-comment"># Access additional observation fields</span>
	obs_dict = result.observation.metadata[<span class="hljs-string">"browsergym_obs"</span>]
	<span class="hljs-keyword">if</span> <span class="hljs-string">"dom_object"</span> <span class="hljs-keyword">in</span> obs_dict:
	dom = obs_dict[<span class="hljs-string">"dom_object"</span>]
	<span class="hljs-comment"># Work with raw DOM object</span>

	<span class="hljs-comment"># Access page performance data</span>
	<span class="hljs-keyword">if</span> <span class="hljs-string">"performance"</span> <span class="hljs-keyword">in</span> info:
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Page load time: <span class="hljs-subst">{info[<span class="hljs-string">'performance'</span>]}</span>"</span>)`,lang:"python",wrap:!1}}),Vt=new T({props:{title:"State",local:"state",headingTag:"h3"}}),Ht=new u({props:{code:"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",highlighted:`state = env.state()

	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Benchmark: <span class="hljs-subst">{state.benchmark}</span>"</span>) <span class="hljs-comment"># 'miniwob', 'webarena', etc.</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Task: <span class="hljs-subst">{state.task_name}</span>"</span>) <span class="hljs-comment"># Task name/ID</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Episode: <span class="hljs-subst">{state.episode_id}</span>"</span>) <span class="hljs-comment"># Unique episode ID</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Steps: <span class="hljs-subst">{state.step_count}</span>"</span>) <span class="hljs-comment"># Number of steps taken</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Total Reward: <span class="hljs-subst">{state.cum_reward}</span>"</span>) <span class="hljs-comment"># Cumulative reward</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Goal: <span class="hljs-subst">{state.goal}</span>"</span>) <span class="hljs-comment"># Task instruction</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"URL: <span class="hljs-subst">{state.current_url}</span>"</span>) <span class="hljs-comment"># Current page URL</span>`,lang:"python",wrap:!1}}),_t=new T({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),Ft=new T({props:{title:"Common Settings",local:"common-settings",headingTag:"h3"}}),xt=new T({props:{title:"WebArena-Specific (only needed for WebArena benchmark)",local:"webarena-specific-only-needed-for-webarena-benchmark",headingTag:"h3"}}),Lt=new T({props:{title:"Supported Benchmarks",local:"supported-benchmarks",headingTag:"h2"}}),Dt=new T({props:{title:"1. MiniWoB++ (Training) ✅ Recommended for Training",local:"1-miniwob-training--recommended-for-training",headingTag:"h3"}}),Kt=new T({props:{title:"2. WebArena (Evaluation) 📊 Benchmark",local:"2-webarena-evaluation--benchmark",headingTag:"h3"}}),le=new T({props:{title:"3. VisualWebArena (Evaluation) 👁️ Visual Benchmark",local:"3-visualwebarena-evaluation--visual-benchmark",headingTag:"h3"}}),ae=new T({props:{title:"4. WorkArena (Evaluation) 💼 Enterprise Benchmark",local:"4-workarena-evaluation--enterprise-benchmark",headingTag:"h3"}}),Me=new T({props:{title:"Typical Training Pipeline",local:"typical-training-pipeline",headingTag:"h2"}}),oe=new u({props:{code:"ZnJvbSUyMGVudnMuYnJvd3Nlcmd5bV9lbnYlMjBpbXBvcnQlMjBCcm93c2VyR3ltRW52JTJDJTIwQnJvd3Nlckd5bUFjdGlvbiUwQSUwQSUyMyUyMFN0YWdlJTIwMSUzQSUyMFRyYWluJTIwb24lMjBNaW5pV29CJTIwKHNpbXBsZSUyMHRhc2tzJTJDJTIwZmFzdCklMEF0cmFpbl9lbnYlMjAlM0QlMjBCcm93c2VyR3ltRW52LmZyb21fZG9ja2VyX2ltYWdlKCUwQSUyMCUyMCUyMCUyMCUyMmJyb3dzZXJneW0tZW52JTNBbGF0ZXN0JTIyJTJDJTBBJTIwJTIwJTIwJTIwZW52aXJvbm1lbnQlM0QlN0IlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjJCUk9XU0VSR1lNX0JFTkNITUFSSyUyMiUzQSUyMCUyMm1pbml3b2IlMjIlMkMlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjJCUk9XU0VSR1lNX1RBU0tfTkFNRSUyMiUzQSUyMCUyMmNsaWNrLWJ1dHRvbiUyMiUyQyUwQSUyMCUyMCUyMCUyMCU3RCUwQSklMEElMEElMjMlMjBUcmFpbiUyMHlvdXIlMjBhZ2VudCUyMChSTCUyQyUyMGltaXRhdGlvbiUyMGxlYXJuaW5nJTJDJTIwZXRjLiklMEFhZ2VudC50cmFpbih0cmFpbl9lbnYlMkMlMjBudW1fZXBpc29kZXMlM0QxMDAwMCklMEF0cmFpbl9lbnYuY2xvc2UoKSUwQSUwQSUyMyUyMFN0YWdlJTIwMiUzQSUyMEV2YWx1YXRlJTIwb24lMjBXZWJBcmVuYSUyMChjb21wbGV4JTIwdGFza3MlMkMlMjByZWFsaXN0aWMpJTBBZXZhbF9lbnYlMjAlM0QlMjBCcm93c2VyR3ltRW52LmZyb21fZG9ja2VyX2ltYWdlKCUwQSUyMCUyMCUyMCUyMCUyMmJyb3dzZXJneW0tZW52JTNBbGF0ZXN0JTIyJTJDJTBBJTIwJTIwJTIwJTIwZW52aXJvbm1lbnQlM0QlN0IlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjJCUk9XU0VSR1lNX0JFTkNITUFSSyUyMiUzQSUyMCUyMndlYmFyZW5hJTIyJTJDJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIyQlJPV1NFUkdZTV9UQVNLX05BTUUlMjIlM0ElMjAlMjIwJTIyJTJDJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIzJTIwLi4uJTIwV2ViQXJlbmElMjBVUkxzJTBBJTIwJTIwJTIwJTIwJTdEJTBBKSUwQSUwQSUyMyUyMFRlc3QlMjBwZXJmb3JtYW5jZSUwQXN1Y2Nlc3NfcmF0ZSUyMCUzRCUyMGFnZW50LmV2YWx1YXRlKGV2YWxfZW52JTJDJTIwbnVtX3Rhc2tzJTNEODEyKSUwQXByaW50KGYlMjJXZWJBcmVuYSUyMFN1Y2Nlc3MlMjBSYXRlJTNBJTIwJTdCc3VjY2Vzc19yYXRlJTNBLjIlMjUlN0QlMjIpJTBBZXZhbF9lbnYuY2xvc2UoKQ==",highlighted:`<span class="hljs-keyword">from</span> envs.browsergym_env <span class="hljs-keyword">import</span> BrowserGymEnv, BrowserGymAction

	<span class="hljs-comment"># Stage 1: Train on MiniWoB (simple tasks, fast)</span>
	train_env = BrowserGymEnv.from_docker_image(
	<span class="hljs-string">"browsergym-env:latest"</span>,
	environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"miniwob"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"click-button"</span>,
	}
	)

	<span class="hljs-comment"># Train your agent (RL, imitation learning, etc.)</span>
	agent.train(train_env, num_episodes=<span class="hljs-number">10000</span>)
	train_env.close()

	<span class="hljs-comment"># Stage 2: Evaluate on WebArena (complex tasks, realistic)</span>
	eval_env = BrowserGymEnv.from_docker_image(
	<span class="hljs-string">"browsergym-env:latest"</span>,
	environment={
	<span class="hljs-string">"BROWSERGYM_BENCHMARK"</span>: <span class="hljs-string">"webarena"</span>,
	<span class="hljs-string">"BROWSERGYM_TASK_NAME"</span>: <span class="hljs-string">"0"</span>,
	<span class="hljs-comment"># ... WebArena URLs</span>
	}
	)

	<span class="hljs-comment"># Test performance</span>
	success_rate = agent.evaluate(eval_env, num_tasks=<span class="hljs-number">812</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"WebArena Success Rate: <span class="hljs-subst">{success_rate:<span class="hljs-number">.2</span>%}</span>"</span>)
	eval_env.close()`,lang:"python",wrap:!1}}),de=new T({props:{title:"Development & Testing",local:"development--testing",headingTag:"h2"}}),pe=new T({props:{title:"Running Tests",local:"running-tests",headingTag:"h3"}}),ce=new u({props:{code:"JTIzJTIwRnJvbSUyMHRoZSUyME9wZW5FbnYlMjByZXBvc2l0b3J5JTIwcm9vdCUwQXB5dGVzdCUyMHRlc3RzJTJGZW52cyUyRnRlc3RfYnJvd3Nlcmd5bV9lbnYucHk=",highlighted:`<span class="hljs-comment"># From the OpenEnv repository root</span>
	pytest tests/envs/test_browsergym_env.py`,lang:"bash",wrap:!1}}),me=new T({props:{title:"Local Development",local:"local-development",headingTag:"h3"}}),ye=new u({props:{code:"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",highlighted:`<span class="hljs-comment"># Install in development mode</span>
	<span class="hljs-built_in">cd</span> /path/to/OpenEnv
	pip install -e .

	<span class="hljs-comment"># Install BrowserGym</span>
	pip install browsergym browsergym-miniwob browsergym-webarena

	<span class="hljs-comment"># Run the server locally</span>
	<span class="hljs-built_in">cd</span> envs/browsergym_env/server
	<span class="hljs-built_in">export</span> BROWSERGYM_BENCHMARK=miniwob
	<span class="hljs-built_in">export</span> BROWSERGYM_TASK_NAME=click-test
	python app.py`,lang:"bash",wrap:!1}}),Te=new T({props:{title:"Project Structure",local:"project-structure",headingTag:"h2"}}),ue=new u({props:{code:"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",highlighted:`browsergym_env/
	├── __init__.py <span class="hljs-meta"># Module exports</span>
	├── models.py <span class="hljs-meta"># Action, Observation, State dataclasses</span>
	├── <span class="hljs-keyword">client</span>.py <span class="hljs-meta"># HTTPEnvClient implementation</span>
	├── README.md <span class="hljs-meta"># This file</span>
	└── <span class="hljs-keyword">server</span>/
	├── __init__.py
	├── app.py <span class="hljs-meta"># FastAPI application</span>
	├── browsergym_environment.py <span class="hljs-meta"># Environment implementation</span>
	├── Dockerfile <span class="hljs-meta"># Container specification</span>
	└── requirements.txt <span class="hljs-meta"># Python dependencies</span>`,lang:"",wrap:!1}}),Je=new T({props:{title:"References",local:"references",headingTag:"h2"}}),we=new 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