openenv/pr_782/en/_app/immutable/nodes/50.fc2fcff3.js

import{s as Jn,n as bn,o as jn}from"../chunks/scheduler.2b22cead.js";import{S as _n,i as Ln,e as o,s as i,c as r,h as gn,a,d as l,b as s,f as yn,g as d,j as p,k as xn,l as Pn,m as n,n as u,t as m,o as c,p as f}from"../chunks/index.1a0e8013.js";import{C as Hn,H as v,E as Un}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.3f8a6e16.js";import{C as Ml}from"../chunks/CodeBlock.7eb1eb33.js";function In(Tl){let M,ze,We,Ge,T,Ve,h,Xe,C,hl="OpenEnv has two related but different ideas of “mode”:",qe,w,Cl="<li><strong>Simulation mode</strong> is for training, evaluation, and any workflow where the orchestrator controls episode boundaries.</li> <li><strong>Production mode</strong> is for exposing tools directly to clients over MCP without the training loop controlling <code>reset()</code>, <code>step()</code>, or <code>state()</code>.</li>",Fe,$,wl="This guide explains when to use each mode and how they interact with MCP tools.",Ye,y,Qe,x,$l="Use <strong>simulation mode</strong> when you need:",Oe,J,yl="<li><code>reset()</code>, <code>step()</code>, and <code>state()</code></li> <li>rewards and <code>done</code> signals</li> <li>one action per step in a controlled trajectory</li> <li>training or evaluation loops</li>",Ke,b,xl="Use <strong>production mode</strong> when you need:",De,j,Jl="<li>direct MCP tool access</li> <li>no simulation control routes</li> <li>an agent or client talking to tools as a live service</li> <li>the environment to get out of the way and expose the tool interface directly</li>",et,_,tt,L,bl="This split follows the core OpenEnv design principles:",lt,g,jl="<li>training and evaluation need a controlled step loop</li> <li>production integrations need direct tool access</li> <li>the same environment should support both without inventing separate environment implementations</li>",nt,P,_l="In practice, simulation mode models <strong>trajectory time</strong> and production mode models <strong>service time</strong>.",it,H,st,U,Ll="Simulation mode is the default environment-control model.",ot,I,gl="In simulation mode, the orchestrator owns the episode:",at,E,Pl="<li>Call <code>reset()</code> to start an episode.</li> <li>Call <code>step()</code> for each action.</li> <li>Read <code>reward</code>, <code>done</code>, and <code>state()</code> as part of the rollout.</li>",pt,k,Hl="For environments with MCP tools, the canonical simulation-mode pattern is still <code>step()</code>.",rt,B,dt,A,Ul="That pattern matters because the training loop can then:",ut,Z,Il="<li>count tool usage as actions</li> <li>assign rewards to tool interactions</li> <li>record a full trajectory</li> <li>preserve the same <code>reset</code>/<code>step</code> contract across environments</li>",mt,S,ct,R,El="When an <code>HTTPEnvServer</code> registers routes in simulation mode, it exposes the full control surface:",ft,W,kl="<li><code>/ws</code></li> <li><code>/mcp</code></li> <li><code>/reset</code></li> <li><code>/step</code></li> <li><code>/state</code></li>",vt,N,Bl="This is the right mode for RL training infrastructure and for most environment testing.",Mt,z,Tt,G,Al="Production mode is for exposing tools directly.",ht,V,Zl="In production mode, clients should interact with MCP tools as a service instead of driving the environment through <code>reset()</code> and <code>step()</code> as a trajectory loop.",Ct,X,Sl="Production mode keeps the MCP surface and removes the HTTP simulation control routes.",wt,q,$t,F,Rl="When an <code>HTTPEnvServer</code> registers routes in production mode, OpenEnv does <strong>not</strong> expose:",yt,Y,Wl="<li><code>/reset</code></li> <li><code>/step</code></li> <li><code>/state</code></li>",xt,Q,Nl="It still registers <code>/ws</code>, because the WebSocket transport remains part of the infrastructure boundary.",Jt,O,zl="That does <strong>not</strong> mean <code>/ws</code> should be exposed to agents.",bt,K,Gl="<li><code>/ws</code> is for orchestration and simulation control</li> <li><code>/mcp</code> is the agent-facing boundary</li> <li>production deployments should restrict <code>/ws</code> at the network, auth, or gateway layer if agents can reach the service directly</li>",jt,D,Vl="In other words, production mode removes the HTTP simulation endpoints, but operators must still treat <code>/ws</code> as infrastructure-only.",_t,ee,Xl="This is the right mode when:",Lt,te,ql="<li>you are serving a tool-backed environment to external clients</li> <li>you do not want callers controlling episode boundaries</li> <li>the MCP interface is the product surface</li>",gt,le,Pt,ne,Fl="MCP is available in both modes, but the role is different.",Ht,ie,Ut,se,Yl="MCP tools are part of the environment action space.",It,oe,Ql="<li>tool discovery can still happen</li> <li>tool calls are modeled as actions</li> <li>rewards and episode control remain in the OpenEnv loop</li>",Et,ae,Ol="This is why examples such as <code>examples/echo_mcp_demo.py</code> use <code>ListToolsAction</code> and <code>CallToolAction</code> through <code>step()</code>.",kt,pe,Bt,re,Kl="MCP is the primary interface.",At,de,Dl="<li>clients call tools directly</li> <li>OpenEnv does not present simulation-control endpoints</li> <li>the service behaves like a live MCP endpoint, not an RL rollout loop</li>",Zt,ue,St,me,en="The server-side switch happens when routes are registered.",Rt,ce,Wt,fe,tn="<code>ServerMode.SIMULATION</code> is the default route-registration mode.",Nt,ve,zt,Me,ln="For simulation-style interaction, use a client that participates in the OpenEnv control loop.",Gt,Te,nn="Examples:",Vt,he,sn="<li>an environment-specific <code>EnvClient[...]</code> subclass</li> <li><code>GenericEnvClient(base_url=..., mode=&quot;simulation&quot;)</code></li> <li><code>step(ListToolsAction())</code> and <code>step(CallToolAction(...))</code> for MCP-backed environments</li>",Xt,Ce,on="For direct MCP access, use an MCP-oriented client.",qt,we,an="Examples:",Ft,$e,pn="<li><code>MCPToolClient(base_url=...)</code></li> <li>environment-specific clients built on top of <code>MCPToolClient</code></li>",Yt,ye,rn="<code>MCPToolClient</code> defaults to production mode and rejects <code>mode=&quot;simulation&quot;</code>.",Qt,xe,Ot,Je,dn="<code>MCPEnvironment</code> supports mode-aware tool registration, so you can expose different tools depending on how the environment is being used.",Kt,be,Dt,je,un="This lets one environment preserve the training contract while still serving a cleaner production surface.",el,_e,tl,Le,mn="Choose <strong>simulation mode</strong> if the caller needs to control trajectories.",ll,ge,cn="Typical cases:",nl,Pe,fn="<li>RL training</li> <li>policy evaluation</li> <li>benchmarking with rewards</li> <li>environments where tool calls should count as agent actions</li>",il,He,vn="Choose <strong>production mode</strong> if the caller needs direct tool access.",sl,Ue,Mn="Typical cases:",ol,Ie,Tn="<li>agent runtimes that speak MCP directly</li> <li>demos and hosted services</li> <li>integrations where <code>reset()</code> and <code>step()</code> should not be public</li>",al,Ee,pl,ke,hn="The most common confusion is assuming that “MCP environment” automatically means “production mode only”.",rl,Be,Cn="That is not the model OpenEnv uses.",dl,Ae,wn="<li>An MCP-backed environment can still run in <strong>simulation mode</strong>.</li> <li>In simulation mode, MCP tool interactions are represented through the OpenEnv step loop.</li> <li>Production mode changes the public control surface, not the underlying environment concept.</li>",ul,Ze,ml,Se,$n='<li><a href="../reference/core">Core API</a></li> <li><a href="../tutorials/index">Getting Started Tutorials</a></li> <li><a href="https://github.com/huggingface/OpenEnv/blob/main/rfcs/002-env-spec.md" rel="nofollow">RFC 002: Environment Spec</a></li> <li><a href="https://github.com/huggingface/OpenEnv/blob/main/rfcs/005-agentic-harnesses.md" rel="nofollow">RFC 005: Agentic Harnesses</a></li>',cl,Re,fl,Ne,vl;return T=new Hn({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),h=new v({props:{title:"Simulation vs Production Mode",local:"simulation-vs-production-mode",headingTag:"h1"}}),y=new v({props:{title:"The Short Version",local:"the-short-version",headingTag:"h2"}}),_=new v({props:{title:"Why OpenEnv Has Two Modes",local:"why-openenv-has-two-modes",headingTag:"h2"}}),H=new v({props:{title:"Simulation Mode",local:"simulation-mode",headingTag:"h2"}}),B=new Ml({props:{code:"ZnJvbSUyMG9wZW5lbnYuY29yZS5lbnZfc2VydmVyLm1jcF90eXBlcyUyMGltcG9ydCUyMENhbGxUb29sQWN0aW9uJTJDJTIwTGlzdFRvb2xzQWN0aW9uJTBBJTBBb2JzJTIwJTNEJTIwZW52LnN0ZXAoTGlzdFRvb2xzQWN0aW9uKCkpJTBBJTBBb2JzJTIwJTNEJTIwZW52LnN0ZXAoJTBBJTIwJTIwJTIwJTIwQ2FsbFRvb2xBY3Rpb24oJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwdG9vbF9uYW1lJTNEJTIyZWNob19tZXNzYWdlJTIyJTJDJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwYXJndW1lbnRzJTNEJTdCJTIybWVzc2FnZSUyMiUzQSUyMCUyMkhlbGxvJTIwZnJvbSUyMHNpbXVsYXRpb24lMjBtb2RlJTIyJTdEJTJDJTBBJTIwJTIwJTIwJTIwKSUwQSk=",highlighted:`<span class="hljs-keyword">from</span> openenv.core.env_server.mcp_types <span class="hljs-keyword">import</span> CallToolAction, ListToolsAction

obs = env.step(ListToolsAction())

obs = env.step(
    CallToolAction(
        tool_name=<span class="hljs-string">&quot;echo_message&quot;</span>,
        arguments={<span class="hljs-string">&quot;message&quot;</span>: <span class="hljs-string">&quot;Hello from simulation mode&quot;</span>},
    )
)`,lang:"python",wrap:!1}}),S=new v({props:{title:"Simulation-Mode Routes",local:"simulation-mode-routes",headingTag:"h3"}}),z=new v({props:{title:"Production Mode",local:"production-mode",headingTag:"h2"}}),q=new v({props:{title:"Production-Mode Routes",local:"production-mode-routes",headingTag:"h3"}}),le=new v({props:{title:"How MCP Fits Into Both Modes",local:"how-mcp-fits-into-both-modes",headingTag:"h2"}}),ie=new v({props:{title:"In simulation mode",local:"in-simulation-mode",headingTag:"h3"}}),pe=new v({props:{title:"In production mode",local:"in-production-mode",headingTag:"h3"}}),ue=new v({props:{title:"Server-Side Configuration",local:"server-side-configuration",headingTag:"h2"}}),ce=new Ml({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> fastapi <span class="hljs-keyword">import</span> FastAPI

<span class="hljs-keyword">from</span> openenv.core.env_server.http_server <span class="hljs-keyword">import</span> HTTPEnvServer
<span class="hljs-keyword">from</span> openenv.core.env_server.types <span class="hljs-keyword">import</span> ServerMode

app = FastAPI()
server = HTTPEnvServer(env=MyEnv, action_cls=MyAction, observation_cls=MyObservation)

<span class="hljs-comment"># Training / evaluation</span>
server.register_routes(app, mode=ServerMode.SIMULATION)

<span class="hljs-comment"># Direct MCP serving</span>
server.register_routes(app, mode=ServerMode.PRODUCTION)`,lang:"python",wrap:!1}}),ve=new v({props:{title:"Client-Side Patterns",local:"client-side-patterns",headingTag:"h2"}}),xe=new v({props:{title:"Mode-Aware Tools",local:"mode-aware-tools",headingTag:"h2"}}),be=new Ml({props:{code:"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",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyEnv</span>(<span class="hljs-title class_ inherited__">MCPEnvironment</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self</span>):
<span class="hljs-meta">        @self.tool(<span class="hljs-params">mode=<span class="hljs-string">&quot;simulation&quot;</span></span>)</span>
        <span class="hljs-keyword">def</span> <span class="hljs-title function_">score_candidate</span>(<span class="hljs-params">answer: <span class="hljs-built_in">str</span></span>) -&gt; <span class="hljs-built_in">str</span>:
            <span class="hljs-keyword">return</span> <span class="hljs-string">&quot;Used inside the training loop&quot;</span>

<span class="hljs-meta">        @self.tool(<span class="hljs-params">mode=<span class="hljs-string">&quot;production&quot;</span></span>)</span>
        <span class="hljs-keyword">def</span> <span class="hljs-title function_">lookup_docs</span>(<span class="hljs-params">query: <span class="hljs-built_in">str</span></span>) -&gt; <span class="hljs-built_in">str</span>:
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