openenv/pr_726/en/_app/immutable/nodes/44.663ee6da.js

import{s as gt,n as Ct,o as It}from"../chunks/scheduler.f3b1e791.js";import{S as Bt,i as St,e as d,s as n,c as i,h as Qt,a as m,d as s,b as a,f as vt,g as p,j as T,k as At,l as _t,m as l,n as r,t as o,o as M,p as c}from"../chunks/index.385ecf51.js";import{C as kt,H as y,E as Wt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.cd4cc6d2.js";import{C as j}from"../chunks/CodeBlock.e0089c8d.js";function Et(pt){let w,de,Me,me,J,Te,u,ye,h,rt=`OpenEnv follows a client-server model inspired by Gymnasium’s simple API.
Agents send structured actions to isolated environments and receive
observations, rewards, and episode status in return.`,je,U,we,f,Je,b,ue,$,ot=`An <strong>Environment</strong> is an isolated execution context where your agent can take
actions and receive observations. Environments usually run as servers and expose
a standard API.`,he,v,Ue,A,Mt=`An <strong>Action</strong> is a structured command that your agent sends to the environment.
Each environment defines its own action schema.`,fe,g,be,C,$e,I,ct=`An <strong>Observation</strong> is the response from the environment after taking an action.
It contains the current state visible to your agent.`,ve,B,Ae,S,ge,Q,dt="A <strong>StepResult</strong> bundles together everything returned from a step:",Ce,_,mt="<li><code>observation</code>: what the agent can see</li> <li><code>reward</code>: numeric reward signal for training</li> <li><code>done</code>: whether the episode has ended</li> <li><code>metadata</code>: additional metadata returned alongside the observation</li>",Ie,k,Be,W,Tt=`A <strong>Rubric</strong> is a composable unit of reward computation that lives inside the
environment. Rubrics can be combined with <code>WeightedSum</code>, <code>Gate</code>, and
<code>Sequential</code>; use LLM judges for subjective criteria; and handle delayed rewards
with <code>TrajectoryRubric</code>. See the <a href="../tutorials/rubrics">Rubrics tutorial</a>
for the full API.`,Se,E,Qe,Z,yt=`A <strong>Client</strong> is how you connect to and interact with an environment. OpenEnv
provides both async and sync clients.`,_e,N,ke,G,We,L,Ee,R,Ze,V,jt="<thead><tr><th>Method</th> <th>Use Case</th> <th>Example</th></tr></thead> <tbody><tr><td>HTTP URL</td> <td>Remote servers, Hugging Face Spaces</td> <td><code>EnvClient(base_url=&quot;https://...&quot;)</code></td></tr> <tr><td>Docker</td> <td>Local development</td> <td><code>EnvClient.from_docker_image(&quot;env:latest&quot;)</code></td></tr> <tr><td>Cloud / custom runtime</td> <td>Run the server on a cloud sandbox</td> <td><code>EnvClient.from_docker_image(&quot;env:latest&quot;, provider=DaytonaProvider())</code></td></tr> <tr><td>Auto-discovery</td> <td>Installed packages or known environments</td> <td><code>AutoEnv.from_env(&quot;echo&quot;)</code></td></tr></tbody>",Ne,X,wt='See the <a href="runtime-providers">Runtime Providers guide</a> for the available providers and how to pick one.',Ge,z,Le,H,Jt="Every OpenEnv environment consists of:",Re,Y,Ve,x,Xe,P,ze,O,He,F,ut="Custom <code>Action</code>, <code>Observation</code>, and <code>State</code> types subclass the base classes from <code>openenv.core.env_server.types</code> — not <code>pydantic.BaseModel</code> directly. The base <code>Observation</code> already carries <code>done</code> and <code>reward</code> fields, which <code>step()</code> populates; <code>Action</code> and <code>State</code> add metadata plumbing used by the server.",Ye,D,xe,q,Pe,K,ht="Environments subclass the abstract <code>Environment[ActT, ObsT, StateT]</code> base and implement <code>reset</code>, <code>step</code>, and the <code>state</code> property. Reward and termination are carried on the returned observation — they are <strong>not</strong> a tuple return value.",Oe,ee,Fe,te,De,se,Ut="Use <code>create_app</code> from <code>openenv.core.env_server</code> to wrap the environment as a FastAPI application. Pass the environment <strong>class</strong> (used as a factory so each WebSocket session gets its own instance) along with the action and observation types:",qe,le,Ke,ne,ft="This is what the environment’s <code>server/app.py</code> entry point typically does — see <code>envs/echo_env/server/app.py</code> for a minimal real example.",et,ae,tt,ie,bt='Rewards are computed <strong>inside the environment</strong>, not by external code. The base <code>Environment</code> accepts an optional <code>rubric</code> on <code>__init__</code> — pass it to <code>super().__init__(rubric=...)</code>, call <code>self._reset_rubric()</code> from <code>reset</code>, and <code>self._apply_rubric(action, observation)</code> from <code>step</code> (or <code>_apply_rubric_async</code> from <code>step_async</code>). The <a href="../tutorials/rubrics">Rubrics tutorial</a> covers the composable API end-to-end.',st,pe,lt,re,$t='<li><a href="../getting-started">Getting Started</a></li> <li><a href="auto-discovery">Auto-discovery</a></li> <li><a href="first-environment">Your first environment</a></li>',nt,oe,at,ce,it;return J=new kt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),u=new y({props:{title:"Concepts",local:"concepts",headingTag:"h1"}}),U=new j({props:{code:"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",highlighted:`+-----------------+     HTTP/WebSocket     +-----------------+
|<span class="hljs-string">   Your Agent    </span>|<span class="hljs-string"> &lt;--------------------&gt; </span>|<span class="hljs-string">   Environment   </span>|
|<span class="hljs-string">   (Client)      </span>|<span class="hljs-string">    step/reset/state    </span>|<span class="hljs-string">    (Server)     </span>|
+-----------------+                        +-----------------+`,lang:"",wrap:!1}}),f=new y({props:{title:"Key Abstractions",local:"key-abstractions",headingTag:"h2"}}),b=new y({props:{title:"Environment",local:"environment",headingTag:"h3"}}),v=new y({props:{title:"Action",local:"action",headingTag:"h3"}}),g=new j({props:{code:"ZnJvbSUyMGNvZGluZ19lbnYlMjBpbXBvcnQlMjBDb2RlQWN0aW9uJTBBJTBBYWN0aW9uJTIwJTNEJTIwQ29kZUFjdGlvbihjb2RlJTNEJTIycHJpbnQoJ0hlbGxvIScpJTIyKQ==",highlighted:`<span class="hljs-keyword">from</span> coding_env <span class="hljs-keyword">import</span> CodeAction

action = CodeAction(code=<span class="hljs-string">&quot;print(&#x27;Hello!&#x27;)&quot;</span>)`,lang:"python",wrap:!1}}),C=new y({props:{title:"Observation",local:"observation",headingTag:"h3"}}),B=new j({props:{code:"cmVzdWx0JTIwJTNEJTIwY2xpZW50LnN0ZXAoYWN0aW9uKSUwQXByaW50KHJlc3VsdC5vYnNlcnZhdGlvbi5zdGRvdXQpJTIwJTIwJTIzJTIwJTIySGVsbG8hJTIy",highlighted:`result = client.step(action)
<span class="hljs-built_in">print</span>(result.observation.stdout)  <span class="hljs-comment"># &quot;Hello!&quot;</span>`,lang:"python",wrap:!1}}),S=new y({props:{title:"StepResult",local:"stepresult",headingTag:"h3"}}),k=new y({props:{title:"Rubric",local:"rubric",headingTag:"h3"}}),E=new y({props:{title:"Client",local:"client",headingTag:"h3"}}),N=new j({props:{code:"ZnJvbSUyMG9wZW5lbnYlMjBpbXBvcnQlMjBBdXRvRW52JTBBJTBBZW52JTIwJTNEJTIwQXV0b0Vudi5mcm9tX2VudiglMjJjb2RpbmclMjIpJTBBJTBBYXN5bmMlMjB3aXRoJTIwZW52JTIwYXMlMjBjbGllbnQlM0ElMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBhd2FpdCUyMGNsaWVudC5yZXNldCgpJTBBJTIwJTIwJTIwJTIwcmVzdWx0JTIwJTNEJTIwYXdhaXQlMjBjbGllbnQuc3RlcChhY3Rpb24pJTBBJTBBd2l0aCUyMGVudi5zeW5jKCklMjBhcyUyMGNsaWVudCUzQSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGNsaWVudC5yZXNldCgpJTBBJTIwJTIwJTIwJTIwcmVzdWx0JTIwJTNEJTIwY2xpZW50LnN0ZXAoYWN0aW9uKQ==",highlighted:`<span class="hljs-keyword">from</span> openenv <span class="hljs-keyword">import</span> AutoEnv

env = AutoEnv.from_env(<span class="hljs-string">&quot;coding&quot;</span>)

<span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> env <span class="hljs-keyword">as</span> client:
    result = <span class="hljs-keyword">await</span> client.reset()
    result = <span class="hljs-keyword">await</span> client.step(action)

<span class="hljs-keyword">with</span> env.sync() <span class="hljs-keyword">as</span> client:
    result = client.reset()
    result = client.step(action)`,lang:"python",wrap:!1}}),G=new y({props:{title:"The Step Loop",local:"the-step-loop",headingTag:"h2"}}),L=new j({props:{code:"d2l0aCUyMGVudi5zeW5jKCklMjBhcyUyMGNsaWVudCUzQSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGNsaWVudC5yZXNldCgpJTBBJTBBJTIwJTIwJTIwJTIwd2hpbGUlMjBub3QlMjByZXN1bHQudGVybWluYXRlZCUzQSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMG9icyUyMCUzRCUyMHJlc3VsdC5vYnNlcnZhdGlvbiUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMGFjdGlvbiUyMCUzRCUyMGRlY2lkZV9hY3Rpb24ob2JzKSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGNsaWVudC5zdGVwKGFjdGlvbiklMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjBsZWFybihyZXN1bHQucmV3YXJkKQ==",highlighted:`<span class="hljs-keyword">with</span> env.sync() <span class="hljs-keyword">as</span> client:
    result = client.reset()

    <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.terminated:
        obs = result.observation
        action = decide_action(obs)
        result = client.step(action)
        learn(result.reward)`,lang:"python",wrap:!1}}),R=new y({props:{title:"Connection Methods",local:"connection-methods",headingTag:"h2"}}),z=new y({props:{title:"Environment Anatomy",local:"environment-anatomy",headingTag:"h2"}}),Y=new j({props:{code:"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",highlighted:`my_env/
├── openenv.yaml          <span class="hljs-meta"># Manifest file</span>
├── my_env/
│   ├── __init__.py
│   ├── <span class="hljs-keyword">client</span>.py         <span class="hljs-meta"># Client classes</span>
│   ├── <span class="hljs-keyword">server</span>.py         <span class="hljs-meta"># Server/Environment</span>
│   └── models.py         <span class="hljs-meta"># Pydantic models</span>
├── Dockerfile            <span class="hljs-meta"># Container definition</span>
├── pyproject.toml        <span class="hljs-meta"># Package metadata</span>
└── README.md             <span class="hljs-meta"># Documentation</span>`,lang:"",wrap:!1}}),x=new y({props:{title:"The Manifest (openenv.yaml)",local:"the-manifest-openenvyaml",headingTag:"h3"}}),P=new j({props:{code:"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",highlighted:`<span class="hljs-attr">name:</span> <span class="hljs-string">my_env</span>
<span class="hljs-attr">version:</span> <span class="hljs-number">0.1</span><span class="hljs-number">.0</span>
<span class="hljs-attr">description:</span> <span class="hljs-string">My</span> <span class="hljs-string">custom</span> <span class="hljs-string">environment</span>

<span class="hljs-attr">client:</span>
  <span class="hljs-attr">class_name:</span> <span class="hljs-string">MyEnvClient</span>
  <span class="hljs-attr">module:</span> <span class="hljs-string">my_env.client</span>

<span class="hljs-attr">action:</span>
  <span class="hljs-attr">class_name:</span> <span class="hljs-string">MyAction</span>
  <span class="hljs-attr">module:</span> <span class="hljs-string">my_env.models</span>

<span class="hljs-attr">observation:</span>
  <span class="hljs-attr">class_name:</span> <span class="hljs-string">MyObservation</span>
  <span class="hljs-attr">module:</span> <span class="hljs-string">my_env.models</span>

<span class="hljs-attr">default_image:</span> <span class="hljs-string">my-env:latest</span>
<span class="hljs-attr">spec_version:</span> <span class="hljs-number">1</span>`,lang:"yaml",wrap:!1}}),O=new y({props:{title:"Models (Pydantic)",local:"models-pydantic",headingTag:"h3"}}),D=new j({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> openenv.core.env_server.types <span class="hljs-keyword">import</span> Action, Observation, State


<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyAction</span>(<span class="hljs-title class_ inherited__">Action</span>):
    command: <span class="hljs-built_in">str</span>
    args: <span class="hljs-built_in">list</span>[<span class="hljs-built_in">str</span>] = []


<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyObservation</span>(<span class="hljs-title class_ inherited__">Observation</span>):
    output: <span class="hljs-built_in">str</span>
    success: <span class="hljs-built_in">bool</span>


<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyState</span>(<span class="hljs-title class_ inherited__">State</span>):
    history: <span class="hljs-built_in">list</span>[<span class="hljs-built_in">str</span>] = []`,lang:"python",wrap:!1}}),q=new y({props:{title:"Environment Class",local:"environment-class",headingTag:"h3"}}),ee=new j({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> openenv.core.env_server.interfaces <span class="hljs-keyword">import</span> Environment


<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyEnvironment</span>(Environment[MyAction, MyObservation, MyState]):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">reset</span>(<span class="hljs-params">self, seed=<span class="hljs-literal">None</span>, episode_id=<span class="hljs-literal">None</span>, **kwargs</span>) -&gt; MyObservation:
        ...

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">step</span>(<span class="hljs-params">self, action: MyAction, timeout_s=<span class="hljs-literal">None</span>, **kwargs</span>) -&gt; MyObservation:
        ...

<span class="hljs-meta">    @property</span>
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">state</span>(<span class="hljs-params">self</span>) -&gt; MyState:
        ...`,lang:"python",wrap:!1}}),te=new y({props:{title:"Server (FastAPI)",local:"server-fastapi",headingTag:"h3"}}),le=new j({props:{code:"ZnJvbSUyMG9wZW5lbnYuY29yZS5lbnZfc2VydmVyJTIwaW1wb3J0JTIwY3JlYXRlX2FwcCUwQSUwQWFwcCUyMCUzRCUyMGNyZWF0ZV9hcHAoJTBBJTIwJTIwJTIwJTIwTXlFbnZpcm9ubWVudCUyQyUwQSUyMCUyMCUyMCUyME15QWN0aW9uJTJDJTBBJTIwJTIwJTIwJTIwTXlPYnNlcnZhdGlvbiUyQyUwQSUyMCUyMCUyMCUyMGVudl9uYW1lJTNEJTIybXlfZW52JTIyJTJDJTBBKQ==",highlighted:`<span class="hljs-keyword">from</span> openenv.core.env_server <span class="hljs-keyword">import</span> create_app

app = create_app(
    MyEnvironment,
    MyAction,
    MyObservation,
    env_name=<span class="hljs-string">&quot;my_env&quot;</span>,
)`,lang:"python",wrap:!1}}),ae=new y({props:{title:"Rewards via the Rubric",local:"rewards-via-the-rubric",headingTag:"h3"}}),pe=new y({props:{title:"Next Steps",local:"next-steps",headingTag:"h2"}}),oe=new 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