openenv/pr_753/en/_app/immutable/nodes/53.b7905ab7.js

import{s as zj,o as qj,n as V}from"../chunks/scheduler.2b22cead.js";import{S as Yj,i as Qj,e as o,s as n,c as p,h as Fj,a as s,d as a,b as r,f as $,g as d,j as i,k as _,l as t,m as f,n as m,t as v,o as u,p as g}from"../chunks/index.1a0e8013.js";import{C as Xj,H as Y,E as Hj}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.0d59b6ff.js";import{D as y,E as D}from"../chunks/ExampleCodeBlock.51427b43.js";import{C as A}from"../chunks/CodeBlock.38fdfa9f.js";function Oj(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> core.env_server <span class="hljs-keyword">import</span> HTTPEnvServer
<span class="hljs-keyword">from</span> envs.coding_env.server <span class="hljs-keyword">import</span> CodeExecutionEnvironment
<span class="hljs-keyword">from</span> envs.coding_env.models <span class="hljs-keyword">import</span> CodeAction, CodeObservation

<span class="hljs-comment"># Pass environment class (factory pattern)</span>
server = HTTPEnvServer(
    env=CodeExecutionEnvironment,
    action_cls=CodeAction,
    observation_cls=CodeObservation,
    max_concurrent_envs=<span class="hljs-number">4</span>,
)

<span class="hljs-comment"># Register routes with FastAPI</span>
<span class="hljs-keyword">from</span> fastapi <span class="hljs-keyword">import</span> FastAPI
app = FastAPI()
server.register_routes(app)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function Kj(T){let h,M="Async usage:",C,b,x;return b=new A({props:{code:"ZnJvbSUyMGVudnMuY29kaW5nX2Vudi5jbGllbnQlMjBpbXBvcnQlMjBDb2RpbmdFbnYlMEElMEFhc3luYyUyMHdpdGglMjBDb2RpbmdFbnYoYmFzZV91cmwlM0QlMjJ3cyUzQSUyRiUyRmxvY2FsaG9zdCUzQTgwMDAlMjIpJTIwYXMlMjBlbnYlM0ElMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBhd2FpdCUyMGVudi5yZXNldChzZWVkJTNENDIpJTBBJTIwJTIwJTIwJTIwd2hpbGUlMjBub3QlMjByZXN1bHQuZG9uZSUzQSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMGFjdGlvbiUyMCUzRCUyMGFnZW50LnByZWRpY3QocmVzdWx0Lm9ic2VydmF0aW9uKSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGF3YWl0JTIwZW52LnN0ZXAoYWN0aW9uKQ==",highlighted:`<span class="hljs-keyword">from</span> envs.coding_env.client <span class="hljs-keyword">import</span> CodingEnv

<span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> CodingEnv(base_url=<span class="hljs-string">&quot;ws://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
    result = <span class="hljs-keyword">await</span> env.reset(seed=<span class="hljs-number">42</span>)
    <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
        action = agent.predict(result.observation)
        result = <span class="hljs-keyword">await</span> env.step(action)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-1fvl0uh"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function eJ(T){let h,M="Sync usage via <code>.sync()</code> wrapper:",C,b,x;return b=new A({props:{code:"ZW52JTIwJTNEJTIwQ29kaW5nRW52KGJhc2VfdXJsJTNEJTIyd3MlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTIyKS5zeW5jKCklMEF3aXRoJTIwZW52JTNBJTBBJTIwJTIwJTIwJTIwcmVzdWx0JTIwJTNEJTIwZW52LnJlc2V0KHNlZWQlM0Q0MiklMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBlbnYuc3RlcChhY3Rpb24p",highlighted:`env = CodingEnv(base_url=<span class="hljs-string">&quot;ws://localhost:8000&quot;</span>).sync()
<span class="hljs-keyword">with</span> env:
    result = env.reset(seed=<span class="hljs-number">42</span>)
    result = env.step(action)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.innerHTML=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-w73fhs"&&(h.innerHTML=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function tJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-comment"># Pull and run from HF Docker registry</span>
env = <span class="hljs-keyword">await</span> MyEnv.from_env(<span class="hljs-string">&quot;openenv/echo-env&quot;</span>)

<span class="hljs-comment"># Run locally with UV (clones the space)</span>
env = <span class="hljs-keyword">await</span> MyEnv.from_env(<span class="hljs-string">&quot;openenv/echo-env&quot;</span>, use_docker=<span class="hljs-literal">False</span>)

<span class="hljs-comment"># Run from a local checkout</span>
env = <span class="hljs-keyword">await</span> MyEnv.from_env(
    <span class="hljs-string">&quot;openenv/echo-env&quot;</span>,
    use_docker=<span class="hljs-literal">False</span>,
    project_path=<span class="hljs-string">&quot;/path/to/local/checkout&quot;</span>
)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function nJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"YXN5bmNfY2xpZW50JTIwJTNEJTIwR2VuZXJpY0VudkNsaWVudChiYXNlX3VybCUzRCUyMmh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTIyKSUwQXN5bmNfY2xpZW50JTIwJTNEJTIwYXN5bmNfY2xpZW50LnN5bmMoKSUwQSUwQXdpdGglMjBzeW5jX2NsaWVudCUzQSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMHN5bmNfY2xpZW50LnJlc2V0KCklMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBzeW5jX2NsaWVudC5zdGVwKCU3QiUyMmNvZGUlMjIlM0ElMjAlMjJwcmludCgnaGVsbG8nKSUyMiU3RCk=",highlighted:`async_client = GenericEnvClient(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
sync_client = async_client.sync()

<span class="hljs-keyword">with</span> sync_client:
    result = sync_client.reset()
    result = sync_client.step({<span class="hljs-string">&quot;code&quot;</span>: <span class="hljs-string">&quot;print(&#x27;hello&#x27;)&quot;</span>})`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function rJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"JTIzJTIwRnJvbSUyMGFuJTIwYXN5bmMlMjBjbGllbnQlMEFhc3luY19jbGllbnQlMjAlM0QlMjBHZW5lcmljRW52Q2xpZW50KGJhc2VfdXJsJTNEJTIyaHR0cCUzQSUyRiUyRmxvY2FsaG9zdCUzQTgwMDAlMjIpJTBBc3luY19jbGllbnQlMjAlM0QlMjBhc3luY19jbGllbnQuc3luYygpJTBBJTBBJTIzJTIwVXNlJTIwc3luY2hyb25vdXMlMjBjb250ZXh0JTIwbWFuYWdlciUwQXdpdGglMjBzeW5jX2NsaWVudCUzQSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMHN5bmNfY2xpZW50LnJlc2V0KCklMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBzeW5jX2NsaWVudC5zdGVwKCU3QiUyMmFjdGlvbiUyMiUzQSUyMCUyMnRlc3QlMjIlN0Qp",highlighted:`<span class="hljs-comment"># From an async client</span>
async_client = GenericEnvClient(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
sync_client = async_client.sync()

<span class="hljs-comment"># Use synchronous context manager</span>
<span class="hljs-keyword">with</span> sync_client:
    result = sync_client.reset()
    result = sync_client.step({<span class="hljs-string">&quot;action&quot;</span>: <span class="hljs-string">&quot;test&quot;</span>})`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function oJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-comment"># Direct connection to a running server (no installation needed)</span>
<span class="hljs-keyword">with</span> GenericEnvClient(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
    result = env.reset()
    result = env.step({<span class="hljs-string">&quot;code&quot;</span>: <span class="hljs-string">&quot;print(&#x27;hello&#x27;)&quot;</span>})
    <span class="hljs-built_in">print</span>(result.observation)  <span class="hljs-comment"># Dict[str, Any]</span>
    <span class="hljs-built_in">print</span>(result.observation.get(<span class="hljs-string">&quot;output&quot;</span>))

<span class="hljs-comment"># From local Docker image</span>
env = GenericEnvClient.from_docker_image(<span class="hljs-string">&quot;coding-env:latest&quot;</span>)
result = env.reset()
result = env.step({<span class="hljs-string">&quot;code&quot;</span>: <span class="hljs-string">&quot;x = 1 + 2&quot;</span>})
env.close()

<span class="hljs-comment"># From HuggingFace Hub (pulls Docker image, no pip install)</span>
env = GenericEnvClient.from_env(<span class="hljs-string">&quot;user/my-env&quot;</span>, use_docker=<span class="hljs-literal">True</span>)
result = env.reset()
env.close()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function sJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"JTIzJTIwV2l0aG91dCUyMEdlbmVyaWNBY3Rpb24lMjAod29ya3MlMjBmaW5lKSUwQWVudi5zdGVwKCU3QiUyMmNvZGUlMjIlM0ElMjAlMjJwcmludCgnaGVsbG8nKSUyMiU3RCklMEElMEElMjMlMjBXaXRoJTIwR2VuZXJpY0FjdGlvbiUyMChtb3JlJTIwZXhwbGljaXQpJTBBYWN0aW9uJTIwJTNEJTIwR2VuZXJpY0FjdGlvbihjb2RlJTNEJTIycHJpbnQoJ2hlbGxvJyklMjIpJTBBZW52LnN0ZXAoYWN0aW9uKSUwQSUwQSUyMyUyMFdpdGglMjBtdWx0aXBsZSUyMGZpZWxkcyUwQWFjdGlvbiUyMCUzRCUyMEdlbmVyaWNBY3Rpb24oY29kZSUzRCUyMnglMjAlM0QlMjAxJTIyJTJDJTIwdGltZW91dCUzRDMwJTJDJTIwbWV0YWRhdGElM0QlN0IlMjJ0YWclMjIlM0ElMjAlMjJ0ZXN0JTIyJTdEKSUwQWVudi5zdGVwKGFjdGlvbik=",highlighted:`<span class="hljs-comment"># Without GenericAction (works fine)</span>
env.step({<span class="hljs-string">&quot;code&quot;</span>: <span class="hljs-string">&quot;print(&#x27;hello&#x27;)&quot;</span>})

<span class="hljs-comment"># With GenericAction (more explicit)</span>
action = GenericAction(code=<span class="hljs-string">&quot;print(&#x27;hello&#x27;)&quot;</span>)
env.step(action)

<span class="hljs-comment"># With multiple fields</span>
action = GenericAction(code=<span class="hljs-string">&quot;x = 1&quot;</span>, timeout=<span class="hljs-number">30</span>, metadata={<span class="hljs-string">&quot;tag&quot;</span>: <span class="hljs-string">&quot;test&quot;</span>})
env.step(action)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function aJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"ZnJvbSUyMGZhc3RtY3AlMjBpbXBvcnQlMjBGYXN0TUNQJTBBJTBBbWNwJTIwJTNEJTIwRmFzdE1DUCglMjJjYWxjdWxhdG9yJTIyKSUwQSUwQSU0MG1jcC50b29sKCklMEFkZWYlMjBhZGQoYSUzQSUyMGludCUyQyUyMGIlM0ElMjBpbnQpJTIwLSUzRSUyMGludCUzQSUwQSUyMCUyMCUyMCUyMHJldHVybiUyMGElMjAlMkIlMjBiJTBBJTBBZW52JTIwJTNEJTIwTXlNQ1BFbnZpcm9ubWVudChtY3ApJTBBb2JzJTIwJTNEJTIwZW52LnN0ZXAoTGlzdFRvb2xzQWN0aW9uKCkpJTBBb2JzLnRvb2xzJTVCMCU1RC5uYW1lJTIwJTIwJTIzJTIwJ2FkZCc=",highlighted:`<span class="hljs-keyword">from</span> fastmcp <span class="hljs-keyword">import</span> FastMCP

mcp = FastMCP(<span class="hljs-string">&quot;calculator&quot;</span>)

<span class="hljs-meta">@mcp.tool()</span>
<span class="hljs-keyword">def</span> <span class="hljs-title function_">add</span>(<span class="hljs-params">a: <span class="hljs-built_in">int</span>, b: <span class="hljs-built_in">int</span></span>) -&gt; <span class="hljs-built_in">int</span>:
    <span class="hljs-keyword">return</span> a + b

env = MyMCPEnvironment(mcp)
obs = env.step(ListToolsAction())
obs.tools[<span class="hljs-number">0</span>].name  <span class="hljs-comment"># &#x27;add&#x27;</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function lJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"dG9vbHMlMjAlM0QlMjBhd2FpdCUyMGVudi5saXN0X3Rvb2xzKCklMEFmb3IlMjB0b29sJTIwaW4lMjB0b29scyUzQSUwQSUyMCUyMCUyMCUyMHByaW50KGYlMjIlN0J0b29sLm5hbWUlN0QlM0ElMjAlN0J0b29sLmRlc2NyaXB0aW9uJTdEJTIyKQ==",highlighted:`tools = <span class="hljs-keyword">await</span> env.list_tools()
<span class="hljs-keyword">for</span> tool <span class="hljs-keyword">in</span> tools:
    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;<span class="hljs-subst">{tool.name}</span>: <span class="hljs-subst">{tool.description}</span>&quot;</span>)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function iJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> MCPToolClient(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
    <span class="hljs-comment"># Reset the environment</span>
    <span class="hljs-keyword">await</span> env.reset()

    <span class="hljs-comment"># Discover available tools</span>
    tools = <span class="hljs-keyword">await</span> env.list_tools()
    <span class="hljs-built_in">print</span>([t.name <span class="hljs-keyword">for</span> t <span class="hljs-keyword">in</span> tools])  <span class="hljs-comment"># [&#x27;echo_message&#x27;, &#x27;echo_with_length&#x27;]</span>

    <span class="hljs-comment"># Call a tool directly</span>
    result = <span class="hljs-keyword">await</span> env.call_tool(<span class="hljs-string">&quot;echo_message&quot;</span>, message=<span class="hljs-string">&quot;Hello!&quot;</span>)
    <span class="hljs-built_in">print</span>(result)  <span class="hljs-comment"># &quot;Hello!&quot;</span>

    <span class="hljs-comment"># Or use the full action interface</span>
    <span class="hljs-keyword">from</span> openenv.core.env_server.mcp_types <span class="hljs-keyword">import</span> CallToolAction
    step_result = <span class="hljs-keyword">await</span> env.step(CallToolAction(
        tool_name=<span class="hljs-string">&quot;echo_with_length&quot;</span>,
        arguments={<span class="hljs-string">&quot;message&quot;</span>: <span class="hljs-string">&quot;Test&quot;</span>}
    ))
    <span class="hljs-built_in">print</span>(step_result.observation.result)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function cJ(T){let h,M="Sync wrapper:",C,b,x;return b=new A({props:{code:"ZW52JTIwJTNEJTIwTUNQVG9vbENsaWVudChiYXNlX3VybCUzRCUyMmh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTIyKS5zeW5jKCklMEF3aXRoJTIwZW52JTNBJTBBJTIwJTIwJTIwJTIwdG9vbHMlMjAlM0QlMjBlbnYubGlzdF90b29scygpJTBBJTIwJTIwJTIwJTIwcmVzdWx0JTIwJTNEJTIwZW52LmNhbGxfdG9vbCglMjJlY2hvX21lc3NhZ2UlMjIlMkMlMjBtZXNzYWdlJTNEJTIySGVsbG8hJTIyKQ==",highlighted:`env = MCPToolClient(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>).sync()
<span class="hljs-keyword">with</span> env:
    tools = env.list_tools()
    result = env.call_tool(<span class="hljs-string">&quot;echo_message&quot;</span>, message=<span class="hljs-string">&quot;Hello!&quot;</span>)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-zgnv86"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function pJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cmVzdWx0JTIwJTNEJTIwYXdhaXQlMjBlbnYuY2FsbF90b29sKCUyMmFkZCUyMiUyQyUyMGElM0Q1JTJDJTIwYiUzRDMpJTBBcHJpbnQocmVzdWx0KSUyMCUyMCUyMyUyMDglMEElMEFyZXN1bHQlMjAlM0QlMjBhd2FpdCUyMGVudi5jYWxsX3Rvb2woJTIyZ3JlZXQlMjIlMkMlMjBuYW1lJTNEJTIyQ2xhdWRlJTIyKSUwQXByaW50KHJlc3VsdCklMjAlMjAlMjMlMjAlMjJIZWxsbyUyQyUyMENsYXVkZSElMjI=",highlighted:`result = <span class="hljs-keyword">await</span> env.call_tool(<span class="hljs-string">&quot;add&quot;</span>, a=<span class="hljs-number">5</span>, b=<span class="hljs-number">3</span>)
<span class="hljs-built_in">print</span>(result)  <span class="hljs-comment"># 8</span>

result = <span class="hljs-keyword">await</span> env.call_tool(<span class="hljs-string">&quot;greet&quot;</span>, name=<span class="hljs-string">&quot;Claude&quot;</span>)
<span class="hljs-built_in">print</span>(result)  <span class="hljs-comment"># &quot;Hello, Claude!&quot;</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function dJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"dG9vbCUyMCUzRCUyMGF3YWl0JTIwZW52LmdldF90b29sKCUyMmVjaG9fbWVzc2FnZSUyMiklMEFpZiUyMHRvb2wlM0ElMEElMjAlMjAlMjAlMjBwcmludCh0b29sLmRlc2NyaXB0aW9uKSUwQSUyMCUyMCUyMCUyMHByaW50KHRvb2wuaW5wdXRfc2NoZW1hKQ==",highlighted:`tool = <span class="hljs-keyword">await</span> env.get_tool(<span class="hljs-string">&quot;echo_message&quot;</span>)
<span class="hljs-keyword">if</span> tool:
    <span class="hljs-built_in">print</span>(tool.description)
    <span class="hljs-built_in">print</span>(tool.input_schema)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function mJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"Y2xhc3MlMjBNeVJ1YnJpYyhSdWJyaWMpJTNBJTBBJTIwJTIwJTIwJTIwZGVmJTIwZm9yd2FyZChzZWxmJTJDJTIwYWN0aW9uJTJDJTIwb2JzZXJ2YXRpb24pJTIwLSUzRSUyMGZsb2F0JTNBJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwcmV0dXJuJTIwMS4wJTIwaWYlMjBhY3Rpb24udmFsaWQlMjBlbHNlJTIwMC4wJTBBJTBBcnVicmljJTIwJTNEJTIwTXlSdWJyaWMoKSUwQXJld2FyZCUyMCUzRCUyMHJ1YnJpYyhhY3Rpb24lMkMlMjBvYnNlcnZhdGlvbik=",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">MyRubric</span>(<span class="hljs-title class_ inherited__">Rubric</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">forward</span>(<span class="hljs-params">self, action, observation</span>) -&gt; <span class="hljs-built_in">float</span>:
        <span class="hljs-keyword">return</span> <span class="hljs-number">1.0</span> <span class="hljs-keyword">if</span> action.valid <span class="hljs-keyword">else</span> <span class="hljs-number">0.0</span>

rubric = MyRubric()
reward = rubric(action, observation)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function vJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cnVicmljJTIwJTNEJTIwU2VxdWVudGlhbCglMEElMjAlMjAlMjAlMjBHYXRlKENvbXBpbGVzKCkpJTJDJTBBJTIwJTIwJTIwJTIwR2F0ZShQYXNzZXNUZXN0cygpJTJDJTIwdGhyZXNob2xkJTNEMC41KSUyQyUwQSUyMCUyMCUyMCUyMFdlaWdodGVkU3VtKCU1QlBhc3Nlc1Rlc3RzKCklMkMlMjBTdHlsZVJ1YnJpYygpJTVEJTJDJTIwd2VpZ2h0cyUzRCU1QjAuNyUyQyUyMDAuMyU1RCklMEEp",highlighted:`rubric = Sequential(
    Gate(Compiles()),
    Gate(PassesTests(), threshold=<span class="hljs-number">0.5</span>),
    WeightedSum([PassesTests(), StyleRubric()], weights=[<span class="hljs-number">0.7</span>, <span class="hljs-number">0.3</span>])
)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function uJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cnVicmljJTIwJTNEJTIwR2F0ZShQYXNzZXNUZXN0cygpJTJDJTIwdGhyZXNob2xkJTNEMC41KSUwQSUyMyUyMFJldHVybnMlMjBQYXNzZXNUZXN0cygpJTIwc2NvcmUlMjBpZiUyMCUzRSUzRCUyMDAuNSUyQyUyMGVsc2UlMjAwLjA=",highlighted:`rubric = Gate(PassesTests(), threshold=<span class="hljs-number">0.5</span>)
<span class="hljs-comment"># Returns PassesTests() score if &gt;= 0.5, else 0.0</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function gJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cnVicmljJTIwJTNEJTIwV2VpZ2h0ZWRTdW0oJTBBJTIwJTIwJTIwJTIwJTVCUGFzc2VzVGVzdHMoKSUyQyUyMFN0eWxlUnVicmljKCklNUQlMkMlMEElMjAlMjAlMjAlMjB3ZWlnaHRzJTNEJTVCMC43JTJDJTIwMC4zJTVEJTBBKQ==",highlighted:`rubric = WeightedSum(
    [PassesTests(), StyleRubric()],
    weights=[<span class="hljs-number">0.7</span>, <span class="hljs-number">0.3</span>]
)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function fJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">MultiGameRubric</span>(<span class="hljs-title class_ inherited__">Rubric</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self, games: <span class="hljs-type">List</span>[<span class="hljs-built_in">str</span>]</span>):
        <span class="hljs-built_in">super</span>().__init__()
        self.games = RubricList([GameRubric(g) <span class="hljs-keyword">for</span> g <span class="hljs-keyword">in</span> games])

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">forward</span>(<span class="hljs-params">self, action, obs</span>) -&gt; <span class="hljs-built_in">float</span>:
        <span class="hljs-keyword">return</span> self.games[obs.game_index](action, obs)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function hJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">AtariRubric</span>(<span class="hljs-title class_ inherited__">Rubric</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self</span>):
        <span class="hljs-built_in">super</span>().__init__()
        self.games = RubricDict({
            <span class="hljs-string">&quot;pong&quot;</span>: PongRubric(),
            <span class="hljs-string">&quot;breakout&quot;</span>: BreakoutRubric(),
            <span class="hljs-string">&quot;space_invaders&quot;</span>: SpaceInvadersRubric(),
        })

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">forward</span>(<span class="hljs-params">self, action, obs</span>) -&gt; <span class="hljs-built_in">float</span>:
        <span class="hljs-keyword">return</span> self.games[obs.game_id](action, obs)

<span class="hljs-comment"># Access: env.rubric.games[&quot;pong&quot;]</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function bJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">WinLossRubric</span>(<span class="hljs-title class_ inherited__">TrajectoryRubric</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">score_trajectory</span>(<span class="hljs-params">self, trajectory</span>):
        _, final_obs = trajectory[-<span class="hljs-number">1</span>]
        <span class="hljs-keyword">return</span> <span class="hljs-number">1.0</span> <span class="hljs-keyword">if</span> final_obs.metadata.get(<span class="hljs-string">&#x27;won&#x27;</span>) <span class="hljs-keyword">else</span> <span class="hljs-number">0.0</span>

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">compute_step_rewards</span>(<span class="hljs-params">self</span>):
        <span class="hljs-comment"># Equal credit to all steps</span>
        score = self.score_trajectory(self._trajectory)
        <span class="hljs-keyword">return</span> [score] * <span class="hljs-built_in">len</span>(self._trajectory)

rubric = WinLossRubric()
<span class="hljs-keyword">for</span> action, obs <span class="hljs-keyword">in</span> episode:
    reward = rubric(action, obs)  <span class="hljs-comment"># 0.0 until done</span>
step_rewards = rubric.compute_step_rewards()  <span class="hljs-comment"># Credit assignment</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function $J(T){let h,M="Per-step reward:",C,b,x;return b=new A({props:{code:"cl90JTIwJTNEJTIwZ2FtbWElNUUoVC0xLXQpJTIwKiUyMFJfZmluYWw=",highlighted:"r_t = gamma^(T-1-t) * R_final",lang:"text",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-1k5vylx"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function _J(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"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",highlighted:`<span class="hljs-keyword">class</span> <span class="hljs-title class_">ChessRubric</span>(<span class="hljs-title class_ inherited__">ExponentialDiscountingTrajectoryRubric</span>):
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">score_trajectory</span>(<span class="hljs-params">self, trajectory</span>):
        _, final_obs = trajectory[-<span class="hljs-number">1</span>]
        outcome = final_obs.metadata.get(<span class="hljs-string">&#x27;winner&#x27;</span>)
        <span class="hljs-keyword">if</span> outcome == <span class="hljs-string">&#x27;agent&#x27;</span>: <span class="hljs-keyword">return</span> <span class="hljs-number">1.0</span>
        <span class="hljs-keyword">elif</span> outcome == <span class="hljs-string">&#x27;opponent&#x27;</span>: <span class="hljs-keyword">return</span> <span class="hljs-number">0.0</span>
        <span class="hljs-keyword">else</span>: <span class="hljs-keyword">return</span> <span class="hljs-number">0.5</span>  <span class="hljs-comment"># Draw</span>

rubric = ChessRubric(gamma=<span class="hljs-number">0.99</span>)
reward = rubric(action, obs)  <span class="hljs-comment"># 0.0 until done, then final score</span>
step_rewards = rubric.compute_step_rewards()  <span class="hljs-comment"># Discounted per-step rewards</span>`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function yJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"aW1wb3J0JTIwb3MlMEElMEElMjMlMjBDb25uZWN0JTIwdG8lMjBzaGFyZWQlMjBHaXRlYSUyMChjcmVkZW50aWFscyUyMGZyb20lMjBlbnZpcm9ubWVudCklMEFjbGllbnQlMjAlM0QlMjBHaXRTZXJ2ZXJDbGllbnQoJTBBJTIwJTIwJTIwJTIwZ2l0ZWFfdXJsJTNEb3MuZ2V0ZW52KCUyMkdJVEVBX1VSTCUyMiklMkMlMEElMjAlMjAlMjAlMjB1c2VybmFtZSUzRG9zLmdldGVudiglMjJHSVRFQV9VU0VSTkFNRSUyMiklMkMlMEElMjAlMjAlMjAlMjBwYXNzd29yZCUzRG9zLmdldGVudiglMjJHSVRFQV9QQVNTV09SRCUyMiklMEEpJTBBY2xpZW50LndhaXRfZm9yX3JlYWR5KCklMEElMjMlMjBDbG9uZSUyMHJlcG8lMjB0byUyMHdvcmtzcGFjZSUwQXBhdGglMjAlM0QlMjBjbGllbnQuY2xvbmVfdG9fd29ya3NwYWNlKCUyMm15LXJlcG8lMjIlMkMlMjBjb21taXQlM0QlMjJhYmMxMjMlMjIpJTBBJTIzJTIwRmFzdCUyMHJlc2V0JTIwdG8lMjBiYXNlJTIwc3RhdGUlMEFjbGllbnQucmVzZXRfd29ya3NwYWNlKCUyMm15LXJlcG8lMjIlMkMlMjBjb21taXQlM0QlMjJhYmMxMjMlMjIp",highlighted:`<span class="hljs-keyword">import</span> os

<span class="hljs-comment"># Connect to shared Gitea (credentials from environment)</span>
client = GitServerClient(
    gitea_url=os.getenv(<span class="hljs-string">&quot;GITEA_URL&quot;</span>),
    username=os.getenv(<span class="hljs-string">&quot;GITEA_USERNAME&quot;</span>),
    password=os.getenv(<span class="hljs-string">&quot;GITEA_PASSWORD&quot;</span>)
)
client.wait_for_ready()
<span class="hljs-comment"># Clone repo to workspace</span>
path = client.clone_to_workspace(<span class="hljs-string">&quot;my-repo&quot;</span>, commit=<span class="hljs-string">&quot;abc123&quot;</span>)
<span class="hljs-comment"># Fast reset to base state</span>
client.reset_workspace(<span class="hljs-string">&quot;my-repo&quot;</span>, commit=<span class="hljs-string">&quot;abc123&quot;</span>)`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function xJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cHJvdmlkZXIlMjAlM0QlMjBMb2NhbERvY2tlclByb3ZpZGVyKCklMEFiYXNlX3VybCUyMCUzRCUyMHByb3ZpZGVyLnN0YXJ0X2NvbnRhaW5lciglMjJlY2hvLWVudiUzQWxhdGVzdCUyMiklMEFwcmludChiYXNlX3VybCklMjAlMjAlMjMlMjBodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMCUwQSUyMyUyMFVzZSUyMHRoZSUyMGVudmlyb25tZW50JTIwdmlhJTIwYmFzZV91cmwlMEFwcm92aWRlci5zdG9wX2NvbnRhaW5lcigp",highlighted:`provider = LocalDockerProvider()
base_url = provider.start_container(<span class="hljs-string">&quot;echo-env:latest&quot;</span>)
<span class="hljs-built_in">print</span>(base_url)  <span class="hljs-comment"># http://localhost:8000</span>
<span class="hljs-comment"># Use the environment via base_url</span>
provider.stop_container()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function CJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cHJvdmlkZXIlMjAlM0QlMjBMb2NhbERvY2tlclByb3ZpZGVyKCklMEFiYXNlX3VybCUyMCUzRCUyMHByb3ZpZGVyLnN0YXJ0X2NvbnRhaW5lciglMjJlY2hvLWVudiUzQWxhdGVzdCUyMiklMEElMjMlMjBDb250YWluZXIlMjBydW5uaW5nJTIwb24lMjBodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBJTNDcmFuZG9tLXBvcnQlM0UlMEFwcm92aWRlci5zdG9wX2NvbnRhaW5lcigp",highlighted:`provider = LocalDockerProvider()
base_url = provider.start_container(<span class="hljs-string">&quot;echo-env:latest&quot;</span>)
<span class="hljs-comment"># Container running on http://localhost:&lt;random-port&gt;</span>
provider.stop_container()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function wJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cHJvdmlkZXIlMjAlM0QlMjBLdWJlcm5ldGVzUHJvdmlkZXIobmFtZXNwYWNlJTNEJTIyZW52dG9yY2gtZGV2JTIyKSUwQWJhc2VfdXJsJTIwJTNEJTIwcHJvdmlkZXIuc3RhcnRfY29udGFpbmVyKCUyMmVjaG8tZW52JTNBbGF0ZXN0JTIyKSUwQSUyMyUyMFBvZCUyMHJ1bm5pbmclMjBpbiUyMGs4cyUyQyUyMGFjY2Vzc2libGUlMjB2aWElMjBzZXJ2aWNlJTIwb3IlMjBwb3J0LWZvcndhcmQlMEFwcm92aWRlci5zdG9wX2NvbnRhaW5lcigp",highlighted:`provider = KubernetesProvider(namespace=<span class="hljs-string">&quot;envtorch-dev&quot;</span>)
base_url = provider.start_container(<span class="hljs-string">&quot;echo-env:latest&quot;</span>)
<span class="hljs-comment"># Pod running in k8s, accessible via service or port-forward</span>
provider.stop_container()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function MJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cHJvdmlkZXIlMjAlM0QlMjBVVlByb3ZpZGVyKHByb2plY3RfcGF0aCUzRCUyMiUyRnBhdGglMkZ0byUyRmVudiUyMiklMEFiYXNlX3VybCUyMCUzRCUyMHByb3ZpZGVyLnN0YXJ0KCklMEFwcmludChiYXNlX3VybCklMjAlMjAlMjMlMjBodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMCUwQXByb3ZpZGVyLnN0b3AoKQ==",highlighted:`provider = UVProvider(project_path=<span class="hljs-string">&quot;/path/to/env&quot;</span>)
base_url = provider.start()
<span class="hljs-built_in">print</span>(base_url)  <span class="hljs-comment"># http://localhost:8000</span>
provider.stop()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function TJ(T){let h,M="Examples:",C,b,x;return b=new A({props:{code:"cHJvdmlkZXIlMjAlM0QlMjBVVlByb3ZpZGVyKHByb2plY3RfcGF0aCUzRCUyMiUyRnBhdGglMkZ0byUyRmVudiUyMiklMEFiYXNlX3VybCUyMCUzRCUyMHByb3ZpZGVyLnN0YXJ0KCklMEFwcmludChiYXNlX3VybCklMjAlMjAlMjMlMjBodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMCUwQSUyMyUyMFVzZSUyMHRoZSUyMGVudmlyb25tZW50JTIwdmlhJTIwYmFzZV91cmwlMEFwcm92aWRlci5zdG9wKCk=",highlighted:`provider = UVProvider(project_path=<span class="hljs-string">&quot;/path/to/env&quot;</span>)
base_url = provider.start()
<span class="hljs-built_in">print</span>(base_url)  <span class="hljs-comment"># http://localhost:8000</span>
<span class="hljs-comment"># Use the environment via base_url</span>
provider.stop()`,lang:"python",wrap:!1}}),{c(){h=o("p"),h.textContent=M,C=n(),p(b.$$.fragment)},l(l){h=s(l,"P",{"data-svelte-h":!0}),i(h)!=="svelte-kvfsh7"&&(h.textContent=M),C=r(l),d(b.$$.fragment,l)},m(l,w){f(l,h,w),f(l,C,w),m(b,l,w),x=!0},p:V,i(l){x||(v(b.$$.fragment,l),x=!0)},o(l){u(b.$$.fragment,l),x=!1},d(l){l&&(a(h),a(C)),g(b,l)}}}function jJ(T){let h,M,C,b,x,l,w,Lg,So,rM='The <code>openenv.core</code> package provides the core abstractions for building and running environments. For an end-to-end tutorial on building environments with OpenEnv, see the <a href="../getting_started/environment-builder">building an environment</a> guide.',Dg,No,oM='If you are trying to understand when OpenEnv exposes the training loop versus direct MCP access, see the <a href="../guides/simulation-vs-production">simulation vs production mode</a> guide.',Vg,Wo,sM='For a high-level explanation of how MCP-backed environments move through <code>step()</code>, <code>step_async()</code>, and convenience tool helpers, see the <a href="../guides/mcp-environment-lifecycle">MCP environment lifecycle</a> guide.',Ag,Bo,Rg,Go,Sg,Ve,Zo,Z$,uc,aM="A message in a conversation.",z$,gc,lM="Compatible with Huggingface chat template format.",Ng,me,zo,q$,fc,iM="Protocol for tokenizers that support chat templates.",Y$,hc,cM=`This protocol defines the interface that tokenizers must implement
to work with chat-based environments. It’s compatible with
Huggingface transformers tokenizers.`,Q$,kn,qo,F$,bc,pM="Apply a chat template to format and optionally tokenize a conversation.",X$,In,Yo,H$,$c,dM="Decode token IDs back to text.",Wg,Ae,Qo,O$,_c,mM="Transform observations to add rewards, metrics, or other modifications.",K$,yc,vM=`Transforms follow the TorchRL pattern where they take an observation
and return a (potentially modified) observation. This allows for
flexible reward computation and observation augmentation.`,Bg,G,Fo,e_,xc,uM="Base class for all environment servers following Gym/Gymnasium API.",t_,Cc,gM='See <a href="https://github.com/huggingface/OpenEnv/blob/main/rfcs/004-rubrics.md" rel="nofollow">rfcs/004-rubrics.md</a> for rubric design details.',n_,rt,Xo,r_,wc,fM="Clean up resources used by the environment.",o_,Mc,hM=`Override this method to implement custom cleanup logic.
Called when the environment is being destroyed or reset.`,s_,ot,Ho,a_,Tc,bM="Get metadata about this environment.",l_,jc,$M=`Override this method to provide custom metadata for the environment.
Default implementation returns basic metadata derived from class name.`,i_,En,Oo,c_,Jc,_M="Reset the environment and return initial observation.",p_,st,Ko,d_,kc,yM="Async version of reset. Default implementation calls sync reset.",m_,Ic,xM="Override to provide true async implementation.",v_,Un,es,u_,Ec,CM="Take a step in the environment.",g_,at,ts,f_,Uc,wM="Async version of step. Default implementation calls sync step.",h_,Pc,MM="Override to provide true async implementation.",Gg,ns,Zg,Pt,rs,b_,Lc,TM="Server operation mode.",zg,Lt,os,$_,Dc,jM="Server health status values.",qg,Dt,ss,__,Vc,JM="WebSocket error codes for structured error handling.",Yg,Re,as,y_,Ac,kM="Base class for all environment actions.",x_,Rc,IM=`All action subclasses should inherit from this base class.
Uses Pydantic for automatic validation and serialization.`,Qg,Se,ls,C_,Sc,EM="Base class for all environment observations.",w_,Nc,UM=`All observation subclasses should inherit from this base class.
Uses Pydantic for automatic validation and serialization.`,Fg,Vt,is,M_,Wc,PM="Request model for environment reset.",Xg,At,cs,T_,Bc,LM="Response model for environment reset.",Hg,Rt,ps,j_,Gc,DM="Request model for environment step.",Og,St,ds,J_,Zc,VM="Response model for environment step.",Kg,Nt,ms,k_,zc,AM="Base class for WebSocket messages with shared configuration.",ef,Ne,vs,I_,qc,RM="Base class for environment state.",E_,Yc,SM="Represents internal environment state, separate from observations.",tf,Wt,us,U_,Qc,NM="Result of code execution containing stdout, stderr, and exit code.",nf,Bt,gs,P_,Fc,WM="Metadata about an environment for documentation and UI purposes.",rf,Gt,fs,L_,Xc,BM="Response model for the combined schema endpoint.",of,Zt,hs,D_,Hc,GM="Response model for health check endpoint.",sf,zt,bs,V_,Oc,ZM="WebSocket message to reset the environment.",af,qt,$s,A_,Kc,zM="WebSocket message to execute a step.",lf,Yt,_s,R_,ep,qM="WebSocket message to request current state.",cf,Qt,ys,S_,tp,YM="WebSocket message to close the session.",pf,Ft,xs,N_,np,QM="WebSocket response containing an observation.",df,Xt,Cs,W_,rp,FM="WebSocket response containing environment state.",mf,Ht,ws,B_,op,XM="WebSocket response for errors.",vf,Ot,Ms,G_,sp,HM="Configuration for concurrent environment sessions.",uf,We,Ts,Z_,ap,OM="Status of server capacity for concurrent sessions.",z_,Pn,js,q_,lp,KM="Create status from active and max session counts.",gf,Kt,Js,Y_,ip,e3="Information about an active session.",ff,ks,hf,en,Is,Q_,cp,t3="Base exception for all OpenEnv errors.",bf,Be,Es,F_,pp,n3="Raised when an environment is misconfigured for concurrent sessions.",X_,dp,r3=`This error is raised during server startup when max_concurrent_envs > 1
is specified for an environment that is not marked as SUPPORTS_CONCURRENT_SESSIONS.`,$f,Ge,Us,H_,mp,o3="Raised when the server cannot accept new sessions due to capacity limits.",O_,vp,s3=`This error is raised when a new WebSocket connection is attempted but
the server has already reached max_concurrent_envs active sessions.`,_f,tn,Ps,K_,up,a3="Raised when attempting to access a session that does not exist.",yf,nn,Ls,ey,gp,l3="Raised when a session cannot be created.",xf,rn,Ds,ty,fp,i3="Raised when the environment factory fails to create an instance.",Cf,Vs,wf,Z,As,ny,hp,c3="HTTP server wrapper for Environment instances.",ry,bp,p3=`This class wraps an Environment and exposes its reset(), step(), and state
methods as HTTP and WebSocket endpoints compatible with EnvClient.`,oy,$p,d3="The server expects:",sy,_p,m3="<li>Action deserialization: Converts JSON dict to Action subclass</li> <li>Observation serialization: Converts Observation subclass to JSON dict</li>",ay,Ln,ly,Dn,Rs,iy,yp,v3="Get the current capacity status of the server.",cy,Vn,Ss,py,xp,u3="Get information about a specific session.",dy,An,Ns,my,Cp,g3="Register HTTP routes on a FastAPI application.",Mf,Ze,Ws,vy,wp,f3="Create a FastAPI application with or without web interface.",uy,Mp,h3=`This function creates a FastAPI app with the web interface enabled by default,
including README integration for better user experience.`,Tf,on,Bs,gy,Tp,b3="Create a FastAPI application with comprehensive documentation.",jf,Gs,Jf,sn,Zs,fy,jp,$3="Log entry for an action taken.",kf,an,zs,hy,Jp,_3="Current episode state for the web interface.",If,K,qs,by,kp,y3="Manages the web interface for an environment.",$y,Rn,Ys,_y,Ip,x3="Connect a new WebSocket client.",yy,Sn,Qs,xy,Ep,C3="Disconnect a WebSocket client.",Cy,Nn,Fs,wy,Up,w3="Get current environment state.",My,Wn,Xs,Ty,Pp,M3="Reset the environment and update state.",jy,Bn,Hs,Jy,Lp,T3="Execute a step in the environment and update state.",Ef,ln,Os,ky,Dp,j3="Create a FastAPI application with web interface for the given environment.",Uf,Ks,Pf,Me,ea,Iy,Vp,J3="Convert JSON dict to Action instance using Pydantic validation.",Ey,Ap,k3=`MCP action types (<code>list_tools</code>, <code>call_tool</code>) are recognised
automatically via the <code>&quot;type&quot;</code> discriminator field, regardless of
the environment’s configured <code>action_cls</code>.  All other payloads
fall through to <code>action_cls.model_validate()</code>.`,Uy,Rp,I3=`For special cases (e.g., tensor fields, custom type conversions),
use deserialize_action_with_preprocessing().`,Lf,Te,ta,Py,Sp,E3="Convert JSON dict to Action instance with preprocessing for special types.",Ly,Np,U3="This version handles common type conversions needed for web interfaces:",Dy,Wp,P3="<li>Converting lists/strings to tensors for ‘tokens’ field</li> <li>Converting string action_id to int</li> <li>Other custom preprocessing as needed</li>",Df,cn,na,Vy,Bp,L3="Convert Observation instance to JSON-compatible dict using Pydantic.",Vf,ra,Af,pn,oa,Ay,Gp,D3="Combines multiple transforms into a single transform.",Rf,dn,sa,Ry,Zp,V3="Default transform that passes through unchanged.",Sf,aa,Nf,mn,la,Sy,zp,A3="Configuration for a simple GET endpoint.",Wf,vn,ia,Ny,qp,R3="Register multiple GET endpoints from configuration.",Bf,ca,Gf,pa,Zf,j,da,Wy,Yp,S3="Async environment client for persistent sessions.",By,Qp,N3=`This client maintains a persistent WebSocket connection to an environment
server, enabling efficient multi-step interactions. Each client instance
corresponds to a dedicated environment session on the server.`,Gy,Fp,W3=`The client is async by default. For synchronous usage, use the <code>.sync()</code>
method to get a <code>SyncEnvClient</code> wrapper.`,Zy,Xp,B3="Features:",zy,Hp,G3="<li>Lower latency for sequential interactions</li> <li>Session state is maintained server-side</li> <li>Better suited for long-running episodes</li> <li>Async by default for modern Python async/await patterns</li>",qy,Op,Z3="Examples:",Yy,Gn,Qy,Zn,Fy,lt,ma,Xy,Kp,z3="Close the WebSocket connection and clean up resources.",Hy,ed,q3=`If this client was created via from_docker_image() or from_env(),
this will also stop and remove the associated container/process.`,Oy,zn,va,Ky,td,Y3="Establish WebSocket connection to the server.",ex,qn,ua,tx,nd,Q3="Close the WebSocket connection.",nx,Yn,ga,rx,rd,F3="Create an environment client by spinning up a Docker container.",ox,it,fa,sx,od,X3="Create a client from a Hugging Face Space.",ax,Qn,lx,Fn,ha,ix,sd,H3="Reset the environment with optional parameters.",cx,Xn,ba,px,ad,O3="Get the current environment state from the server.",dx,Hn,$a,mx,ld,K3="Execute an action in the environment.",vx,_e,_a,ux,id,e5="Return a synchronous wrapper around this async client.",gx,cd,t5=`Use this method when you need synchronous access to the environment
without async/await syntax. This is useful for:`,fx,pd,n5="<li>Integration with synchronous codebases</li> <li>Interactive/REPL usage</li> <li>Stopping async from “infecting” the call stack</li>",hx,On,zf,ya,qf,P,xa,bx,dd,r5="Synchronous wrapper around an async EnvClient.",$x,md,o5=`This class provides a synchronous interface to an async EnvClient,
making it easier to use in synchronous code or to stop async from
“infecting” the entire call stack.`,_x,vd,s5=`The wrapper executes async operations on a dedicated background event loop
so connection state remains bound to a single loop.`,yx,ud,a5=`For guaranteed resource cleanup, use <code>with SyncEnvClient(...)</code> or call
<code>close()</code> explicitly. <code>__del__</code> is best-effort only and may not run
reliably (for example, during interpreter shutdown).`,xx,Kn,Cx,er,Ca,wx,gd,l5="Close the connection and clean up resources.",Mx,tr,wa,Tx,fd,i5="Establish connection to the server.",jx,nr,Ma,Jx,hd,c5="Close the connection.",kx,rr,Ta,Ix,bd,p5="Reset the environment.",Ex,or,ja,Ux,$d,d5="Get the current environment state.",Px,sr,Ja,Lx,_d,m5="Execute an action in the environment.",Yf,ka,Qf,ee,Ia,Dx,yd,v5="Environment client that works with raw dictionaries instead of typed classes.",Vx,xd,u5=`This client doesn’t require installing environment-specific packages, making it
ideal for:`,Ax,Cd,g5="<li>Connecting to remote servers without installing their packages</li> <li>Quick prototyping and testing</li> <li>Environments where type safety isn’t needed</li> <li>Security-conscious scenarios where you don’t want to run remote code</li>",Rx,wd,f5=`The trade-off is that you lose type safety and IDE autocomplete for actions
and observations. Instead of typed objects, you work with plain dictionaries.`,Sx,ar,Nx,Md,h5=`<code>GenericEnvClient</code> inherits <code>from_docker_image()</code> and <code>from_env()</code> from
<code>EnvClient</code>, so you can use it with Docker containers and HuggingFace
Spaces without any package installation.`,Ff,ve,Ea,Wx,Td,b5="A dictionary subclass for creating actions when using GenericEnvClient.",Bx,jd,$5=`This provides a semantic wrapper around dictionaries to make code more
readable when working with GenericEnvClient. It behaves exactly like a
dict but signals intent that this is an action for an environment.`,Gx,lr,Zx,Jd,_5=`<code>GenericAction</code> is just a dict with a constructor that accepts keyword
arguments. It’s provided for symmetry with typed Action classes and
to make code more readable.`,Xf,Ua,Hf,un,Pa,zx,kd,y5="A single tool/function call returned by the model.",Of,ze,La,qx,Id,x5="Normalized response from an LLM, with optional tool calls.",Yx,ir,Da,Qx,Ed,C5="Convert to an OpenAI-format assistant message dict.",Kf,ue,Va,Fx,Ud,w5="Abstract base for LLM endpoint clients.",Xx,Pd,M5="Subclass and implement <code>complete()</code> for your protocol.",Hx,cr,Aa,Ox,Ld,T5="Send a prompt, return the text response.",Kx,ct,Ra,e1,Dd,j5="Send messages with tool definitions, return a normalized response.",t1,Vd,J5=`Messages use OpenAI-format dicts (<code>{&quot;role&quot;: &quot;...&quot;, &quot;content&quot;: &quot;...&quot;}</code>).
Tools use MCP tool definitions; they are converted internally.`,eh,je,Sa,n1,Ad,k5="Client for OpenAI-compatible APIs.",r1,Rd,I5=`Works with: OpenAI, vLLM, TGI, Ollama, HuggingFace Inference API,
or any endpoint that speaks the OpenAI chat completions format.`,o1,pr,Na,s1,Sd,E5="Send a chat completion request.",th,qe,Wa,a1,Nd,U5="Client for Anthropic’s Messages API.",l1,Wd,P5="Requires the <code>anthropic</code> package (lazy-imported at construction time).",nh,gn,Ba,i1,Bd,L5="Create an LLM client for a hosted provider.",rh,Ga,oh,fn,Za,c1,Gd,D5="Represents the result of one environment step.",sh,za,ah,qa,lh,I,Ya,p1,Zd,V5="Base class for environments that expose tools via MCP (Model Context Protocol).",d1,zd,A5=`MCPEnvironment bridges FastMCP servers with OpenEnv’s Gym-style API, allowing
agents to discover and invoke MCP tools through the standard step() interface.`,m1,qd,R5="The class automatically handles:",v1,Yd,S5="<li>ListToolsAction: Returns available tools from the MCP server</li> <li>CallToolAction: Invokes a specific tool with arguments</li>",u1,Qd,N5=`All other actions are delegated to the abstract _step_impl() method,
which subclasses must implement.`,g1,dr,f1,pt,Qa,h1,Fd,W5="Clean up resources used by the environment.",b1,Xd,B5=`This method cleans up the MCP client and any other resources.
Subclasses should call super().close() if they override this method.`,$1,dt,Fa,_1,Hd,G5="Execute Python code with tools available as callables.",y1,Od,Z5=`This enables the CodeAct pattern where agents write Python code
that calls tools directly as functions, avoiding JSON-RPC overhead.`,x1,mt,Xa,C1,Kd,z5="Get callable functions for code mode.",w1,em,q5=`Returns tool functions as direct Python callables, enabling code mode
where agents write Python code that calls tools directly (no JSON-RPC
overhead). Mode-specific tools are filtered by the current mode.`,M1,ie,Ha,T1,tm,Y5="Context manager for MCP client sessions.",j1,nm,Q5="This wrapper serves two purposes:",J1,rm,F5=`<li><p><strong>Null guard</strong> — raises a clear error if <code>close()</code> has already
been called (<code>mcp_client</code> is <code>None</code>).</p></li> <li><p><strong>AsyncExitStack adapter</strong> — FastMCP’s <code>Client.__aenter__</code>
creates a background <code>asyncio.Task</code> for session management.
When entered directly via <code>AsyncExitStack</code> in the HTTP session
path (<code>_create_session</code>), this task can be cancelled by ASGI
harnesses (e.g. Starlette <code>TestClient</code>) between requests,
corrupting session state.  Wrapping in an <code>asynccontextmanager</code>
generator isolates the task lifecycle: the generator frame keeps
<code>async with client:</code> suspended at <code>yield</code>, so cleanup only
runs when the stack explicitly closes the generator — not when
the event loop cancels orphaned tasks.</p></li>`,k1,om,X5=`Delegates to FastMCP’s <code>Client</code> context manager which is
reentrant: the first entry opens the transport and subsequent
(nested) entries simply increment an internal reference counter.
The transport is closed only when the outermost context exits.`,I1,sm,H5=`No external lock is needed because <code>Client._connect</code> /
<code>Client._disconnect</code> already serialise connection state changes
through their own <code>anyio.Lock</code>.`,E1,vt,Oa,U1,am,O5="Execute an action in the environment.",P1,lm,K5=`This method routes MCP-specific actions (ListToolsAction, CallToolAction)
to the appropriate handlers, while delegating all other actions to
the subclass’s _step_impl() method.`,L1,ut,Ka,D1,im,eT="Async step that routes MCP actions without going through run_async_safely.",V1,cm,tT=`The WebSocket handler calls this directly on the outer event loop, where
the MCP session is already open, avoiding the thread/event-loop deadlock
that occurs when the sync step() path is used via run_in_executor.`,A1,mr,el,R1,pm,nT="Decorator for registering mode-aware tools.",ih,tl,ch,Ye,nl,S1,dm,rT="Standard JSON-RPC 2.0 error codes.",N1,mm,oT='See: <a href="https://www.jsonrpc.org/specification#error_object" rel="nofollow">https://www.jsonrpc.org/specification#error_object</a>',ph,hn,rl,W1,vm,sT="Supported MCP method names.",dh,Je,ol,B1,um,aT="JSON-RPC 2.0 error object.",G1,gm,lT='See: <a href="https://www.jsonrpc.org/specification#error_object" rel="nofollow">https://www.jsonrpc.org/specification#error_object</a>',Z1,vr,sl,z1,fm,iT="Create an error from a standard error code.",mh,Qe,al,q1,hm,cT="JSON-RPC 2.0 request object.",Y1,bm,pT='See: <a href="https://www.jsonrpc.org/specification#request_object" rel="nofollow">https://www.jsonrpc.org/specification#request_object</a>',vh,Q,ll,Q1,$m,dT="JSON-RPC 2.0 response object.",F1,_m,mT=`Per JSON-RPC 2.0 spec, a response has either ‘result’ or ‘error’, not both.
This model excludes None values during serialization to comply with the spec.`,X1,ym,vT='See: <a href="https://www.jsonrpc.org/specification#response_object" rel="nofollow">https://www.jsonrpc.org/specification#response_object</a>',H1,ur,il,O1,xm,uT="Create an error response from a standard error code.",K1,gr,cl,e2,Cm,gT="Serialize to dict, excluding result or error when None (JSON-RPC compliance).",t2,fr,pl,n2,wm,fT="Serialize to JSON string, excluding result or error when None (JSON-RPC compliance).",r2,hr,dl,o2,Mm,hT="Create a success response.",uh,Fe,ml,s2,Tm,bT="Strongly typed MCP tool specification.",a2,jm,$T=`Follows the MCP ToolSpec format for tool discovery.
See: <a href="https://modelcontextprotocol.io/specification/2025-06-18/server/tools" rel="nofollow">https://modelcontextprotocol.io/specification/2025-06-18/server/tools</a>`,gh,bn,vl,l2,Jm,_T="Types of errors that can occur during tool execution.",fh,Xe,ul,i2,km,yT="Structured error for tool execution failures.",c2,Im,xT=`This is used for transport/framework errors, NOT for errors returned
by the tool itself (those go in the result field).`,hh,He,gl,p2,Em,CT="Request list of available tools from the environment.",d2,Um,wT=`This action triggers MCP’s tools/list operation and returns
all available tools with their schemas. Does NOT require reset()
to be called first.`,bh,Oe,fl,m2,Pm,MT="Call a specific tool via MCP.",v2,Lm,TT=`This action triggers MCP’s tools/call operation with the
specified tool name and arguments.`,$h,Ke,hl,u2,Dm,jT="Response containing available tools.",g2,Vm,JT="Returned when processing a ListToolsAction.",_h,et,bl,f2,Am,kT="Response from tool execution.",h2,Rm,IT=`Contains the tool’s result or an error if the call failed.
Tool-specific errors (from the tool itself) are included in the result.
Transport/framework errors use the error field.`,yh,tt,$l,b2,Sm,ET="WebSocket message for MCP JSON-RPC requests.",$2,Nm,UT=`Allows direct MCP access via WebSocket for production inference,
bypassing the step() API.`,xh,nt,_l,_2,Wm,PT="WebSocket response for MCP JSON-RPC.",y2,Bm,LT="Contains the JSON-RPC response from the MCP server.",Ch,yl,wh,ge,xl,x2,Gm,DT="Base class for MCP clients with tool discovery.",C2,Zm,VT=`This class provides the common <code>list_tools()</code> method for discovering
available tools from an MCP-enabled environment. Subclasses implement
specific interaction patterns (tool-calling or CodeAct).`,w2,gt,Cl,M2,zm,AT="Close client resources.",T2,qm,RT=`In production MCP mode, this also closes the server-side persistent
MCP session (best effort) before closing websocket/provider resources.`,j2,ft,wl,J2,Ym,ST="Discover available tools from the environment.",k2,br,Mh,N,Ml,I2,Qm,NT="Async client for tool-calling style MCP interactions.",E2,Fm,WT=`Each step invokes a single tool. Use this for traditional function-calling
agent patterns where the agent decides which tool to call next.`,U2,Xm,BT="This client provides convenience methods for tool discovery and invocation:",P2,Hm,GT="<li><code>list_tools()</code>: Get all available tools with their schemas</li> <li><code>call_tool(name, **kwargs)</code>: Invoke a tool by name with arguments</li>",L2,$r,D2,_r,V2,Ee,Tl,A2,Om,ZT="Call a tool by name.",R2,Km,zT=`This is a convenience method that creates a CallToolAction, executes it,
and returns the result directly. For more control, use <code>step()</code> with
a CallToolAction directly.`,S2,yr,N2,ht,jl,W2,ev,qT="Get a specific tool by name.",B2,xr,G2,Cr,Jl,Z2,tv,YT="Check if a tool exists.",Th,kl,jh,J,Il,z2,nv,QT="Abstract base class for reward computation.",q2,rv,FT=`A Rubric computes a reward signal from an action and observation.
Subclasses implement forward() to define the reward logic.`,Y2,wr,Q2,ov,XT=`Child rubrics are auto-registered when assigned as attributes,
enabling hierarchical composition and introspection.`,F2,Mr,El,X2,sv,HT="Iterate over immediate child rubrics.",H2,Tr,Ul,O2,av,OT="Compute the reward. Implement this in subclasses.",K2,jr,Pl,eC,lv,KT="Access a nested rubric by dot-separated path.",tC,Jr,Ll,nC,iv,e4="Load rubric configuration from checkpoint.",rC,kr,Dl,oC,cv,t4="Iterate over immediate child rubrics with names.",sC,Ir,Vl,aC,pv,n4="Iterate over all descendant rubrics with dot-separated names.",lC,Er,Al,iC,dv,r4="Register a hook called after forward().",cC,Ur,Rl,pC,mv,o4="Register a hook called before forward().",dC,Pr,Sl,mC,vv,s4="Reset any internal state. Override in subclasses if needed.",vC,Lr,Nl,uC,uv,a4="Iterate over all descendant rubrics (depth-first).",gC,Dr,Wl,fC,gv,l4="Serialize rubric configuration for checkpointing.",Jh,fe,Bl,hC,fv,i4="Run rubrics in order, fail-fast on zero.",bC,hv,c4=`Runs child rubrics in order. If any returns 0, stops immediately
and returns 0. This implements hierarchical gating patterns where
syntax checks run before execution checks.`,$C,Vr,_C,Ar,Gl,yC,bv,p4="Run rubrics in order, return 0 if any returns 0. Sync version.",kh,he,Zl,xC,$v,d4="Threshold wrapper - returns 0 if child score is below threshold.",CC,_v,m4="Useful for hard constraints like “must pass 50% of tests”.",wC,Rr,MC,Sr,zl,TC,yv,v4="Return child score if >= threshold, else 0. Sync version.",Ih,be,ql,jC,xv,u4="Weighted combination of child rubrics.",JC,Cv,g4="Standard aggregation pattern for multi-criteria evaluation.",kC,Nr,IC,Wr,Yl,EC,wv,f4="Return weighted sum of child scores. Sync version.",Eh,te,Ql,UC,Mv,h4="Container for dynamic lists of rubrics.",PC,Tv,b4=`Analogous to nn.ModuleList. Does not define aggregation - use within
a parent rubric that implements custom logic.`,LC,Br,DC,Gr,Fl,VC,jv,$4="Add a rubric to the list.",AC,Zr,Xl,RC,Jv,_4="Add multiple rubrics to the list.",SC,zr,Hl,NC,kv,y4="RubricList does not define aggregation - override in parent.",Uh,z,Ol,WC,Iv,x4="Container for named rubrics with keyed access.",BC,Ev,C4=`Analogous to nn.ModuleDict. Enables keyed access for multi-task
environments where different tasks require different rubrics.`,GC,qr,ZC,Yr,Kl,zC,Uv,w4="RubricDict does not define aggregation - override in parent.",qC,Qr,ei,YC,Pv,M4="Iterate over (key, rubric) pairs.",QC,Fr,ti,FC,Lv,T4="Iterate over keys.",XC,Xr,ni,HC,Dv,j4="Update with rubrics from a dictionary.",OC,Hr,ri,KC,Vv,J4="Iterate over rubrics.",Ph,E,oi,e0,Av,k4="Abstract base for rubrics that score based on full trajectories.",t0,Rv,I4="Subclasses implement:",n0,Sv,E4="<li>score_trajectory(): Compute final score from trajectory</li> <li>compute_step_rewards(): Define credit assignment strategy</li>",r0,Nv,U4=`The <strong>call</strong> method accumulates steps and returns rewards according
to the subclass’s implementation.`,o0,Wv,P4=`IMPORTANT: Trajectories are stored in CPU memory to avoid GPU pressure.
Environments with GPU tensors in observations must move them to CPU
before returning from step().`,s0,Bv,L4=`Known limitation: Very long episodes (thousands of steps) may consume
significant CPU memory. For such cases, consider streaming rubrics.`,a0,Or,l0,bt,si,i0,Gv,D4="Compute per-step rewards from the accumulated trajectory.",c0,Zv,V4=`Define your credit assignment strategy here (e.g., discounting,
assigning all credit to specific steps, etc.).`,p0,$t,ai,d0,zv,A4="Accumulate step and return reward.",m0,qv,R4="Returns intermediate_reward until done, then computes trajectory score.",v0,Kr,li,u0,Yv,S4="Load configuration from checkpoint.",g0,eo,ii,f0,Qv,N4="Clear accumulated trajectory. Call on env.reset().",h0,_t,ci,b0,Fv,W4="Score the complete trajectory. Return 0.0-1.0.",$0,Xv,B4="Called when observation.done=True.",_0,to,pi,y0,Hv,G4="Serialize configuration (not trajectory data).",Lh,F,di,x0,Ov,Z4="TrajectoryRubric with exponential discounting for credit assignment.",C0,no,w0,Kv,z4=`With gamma=0.99, later steps get higher reward (they’re “closer” to the outcome).
With gamma=1.0, all steps get equal reward.
With gamma=0.0, only the final step gets reward.`,M0,eu,q4=`This is the standard temporal discounting used in reinforcement learning,
applied retroactively once the episode outcome is known.`,T0,ro,j0,oo,mi,J0,tu,Y4="Apply exponential discounting from final reward.",k0,so,vi,I0,nu,Q4="Serialize configuration.",Dh,$e,ui,E0,ru,F4="Rubric that uses an LLM to evaluate agent actions/observations.",U0,ou,X4=`The prompt template is formatted with <code>{action}</code> and <code>{observation}</code>
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typing.Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/exceptions.py#L46"}}),Ps=new y({props:{name:"class openenv.core.SessionNotFoundError",anchor:"openenv.core.SessionNotFoundError",parameters:[{name:"session_id",val:": str"},{name:"message",val:": typing.Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/exceptions.py#L72"}}),Ls=new y({props:{name:"class openenv.core.SessionCreationError",anchor:"openenv.core.SessionCreationError",parameters:[{name:"reason",val:": str"},{name:"message",val:": typing.Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/exceptions.py#L84"}}),Ds=new y({props:{name:"class openenv.core.EnvironmentFactoryError",anchor:"openenv.core.EnvironmentFactoryError",parameters:[{name:"factory_name",val:": str"},{name:"message",val:": typing.Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/exceptions.py#L96"}}),Vs=new Y({props:{title:"HTTP server utilities",local:"openenv.core.HTTPEnvServer",headingTag:"h3"}}),As=new y({props:{name:"class openenv.core.HTTPEnvServer",anchor:"openenv.core.HTTPEnvServer",parameters:[{name:"env",val:": Callable[[], Environment]"},{name:"action_cls",val:": Type[Action]"},{name:"observation_cls",val:": Type[Observation]"},{name:"max_concurrent_envs",val:": Optional[int] = None"},{name:"concurrency_config",val:": Optional[ConcurrencyConfig] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L117"}}),Ln=new D({props:{anchor:"openenv.core.HTTPEnvServer.example",$$slots:{default:[Oj]},$$scope:{ctx:T}}}),Rs=new y({props:{name:"get_capacity_status",anchor:"openenv.core.HTTPEnvServer.get_capacity_status",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L284",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ServerCapacityStatus</code> with current session counts and availability.</p>
`}}),Ss=new y({props:{name:"get_session_info",anchor:"openenv.core.HTTPEnvServer.get_session_info",parameters:[{name:"session_id",val:": str"}],parametersDescription:[{anchor:"openenv.core.HTTPEnvServer.get_session_info.session_id",description:`<strong>session_id</strong> (<code>str</code>) &#x2014;
The session ID to query.`,name:"session_id"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L524",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>SessionInfo</code> if the session exists, <code>None</code> otherwise.</p>
`}}),Ns=new y({props:{name:"register_routes",anchor:"openenv.core.HTTPEnvServer.register_routes",parameters:[{name:"app",val:": FastAPI"},{name:"mode",val:": ServerMode | str = <ServerMode.SIMULATION: 'simulation'>"}],parametersDescription:[{anchor:"openenv.core.HTTPEnvServer.register_routes.app",description:`<strong>app</strong> (<code>FastAPI</code>) &#x2014;
FastAPI application instance.`,name:"app"},{anchor:"openenv.core.HTTPEnvServer.register_routes.mode",description:`<strong>mode</strong> (<code>ServerMode</code> or <code>str</code>, <em>optional</em>, defaults to <code>ServerMode.SIMULATION</code>) &#x2014;
Server mode. In production mode, simulation control endpoints (/reset, /step,
/state) are NOT registered. Only safe endpoints (/health, /schema, /metadata,
/ws) are available.`,name:"mode"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L574",raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ValueError</code> — If <code>mode</code> is not a valid <code>ServerMode</code> or string equivalent.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ValueError</code></p>
`}}),Ws=new y({props:{name:"openenv.core.create_app",anchor:"openenv.core.create_app",parameters:[{name:"env",val:": Callable[[], Environment]"},{name:"action_cls",val:": Type[Action]"},{name:"observation_cls",val:": Type[Observation]"},{name:"env_name",val:": Optional[str] = None"},{name:"max_concurrent_envs",val:": Optional[int] = None"},{name:"concurrency_config",val:": Optional[ConcurrencyConfig] = None"},{name:"gradio_builder",val:": Optional[Callable[..., Any]] = None"},{name:"custom_tab_name",val:": str = 'Custom'"},{name:"custom_tab_primary",val:": bool = False"},{name:"show_default_tab",val:": bool = True"},{name:"title_override",val:": Optional[str] = None"}],parametersDescription:[{anchor:"openenv.core.create_app.env",description:`<strong>env</strong> (<code>Callable[[], Environment]</code>) &#x2014;
Environment factory (callable) that creates new instances.`,name:"env"},{anchor:"openenv.core.create_app.action_cls",description:`<strong>action_cls</strong> (<code>Type[Action]</code>) &#x2014;
The Action subclass this environment expects.`,name:"action_cls"},{anchor:"openenv.core.create_app.observation_cls",description:`<strong>observation_cls</strong> (<code>Type[Observation]</code>) &#x2014;
The Observation subclass this environment returns.`,name:"observation_cls"},{anchor:"openenv.core.create_app.env_name",description:`<strong>env_name</strong> (<code>str</code>, <em>optional</em>) &#x2014;
Environment name for README loading.`,name:"env_name"},{anchor:"openenv.core.create_app.max_concurrent_envs",description:`<strong>max_concurrent_envs</strong> (<code>int</code>, <em>optional</em>) &#x2014;
Maximum concurrent WebSocket sessions. Mutually exclusive with
<code>concurrency_config</code>.`,name:"max_concurrent_envs"},{anchor:"openenv.core.create_app.concurrency_config",description:`<strong>concurrency_config</strong> (<code>ConcurrencyConfig</code>, <em>optional</em>) &#x2014;
Advanced concurrency settings. Mutually exclusive with
<code>max_concurrent_envs</code>.`,name:"concurrency_config"},{anchor:"openenv.core.create_app.gradio_builder",description:`<strong>gradio_builder</strong> (<code>Callable</code>, <em>optional</em>) &#x2014;
Callable to build a custom Gradio UI at /web. Signature:
<code>(web_manager, action_fields, metadata, is_chat_env, title, quick_start_md) -&gt; gr.Blocks</code>.
When <code>None</code>, the default Gradio app is used.`,name:"gradio_builder"},{anchor:"openenv.core.create_app.custom_tab_name",description:`<strong>custom_tab_name</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;Custom&quot;</code>) &#x2014;
Label for the env-specific tab when <code>gradio_builder</code> is provided.`,name:"custom_tab_name"},{anchor:"openenv.core.create_app.custom_tab_primary",description:`<strong>custom_tab_primary</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>False</code>) &#x2014;
When <code>True</code>, the env-specific tab is active first; the auto-generated
Playground becomes secondary.`,name:"custom_tab_primary"},{anchor:"openenv.core.create_app.show_default_tab",description:`<strong>show_default_tab</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>True</code>) &#x2014;
When <code>False</code>, mount the env&#x2019;s <code>gradio_builder</code> output alone (no
auto-generated Playground, no tab chrome). Only meaningful when
<code>gradio_builder</code> is provided.`,name:"show_default_tab"},{anchor:"openenv.core.create_app.title_override",description:`<strong>title_override</strong> (<code>str</code>, <em>optional</em>) &#x2014;
If set, used as the Gradio app title instead of the default
<code>&quot;OpenEnv Agentic Environment: {name}&quot;</code>.`,name:"title_override"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L1523",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>FastAPI</code> application instance with or without web interface and README integration.</p>
`}}),Bs=new y({props:{name:"openenv.core.create_fastapi_app",anchor:"openenv.core.create_fastapi_app",parameters:[{name:"env",val:": Callable[[], Environment]"},{name:"action_cls",val:": Type[Action]"},{name:"observation_cls",val:": Type[Observation]"},{name:"max_concurrent_envs",val:": Optional[int] = None"},{name:"concurrency_config",val:": Optional[ConcurrencyConfig] = None"}],parametersDescription:[{anchor:"openenv.core.create_fastapi_app.env",description:`<strong>env</strong> (<code>Callable[[], Environment]</code>) &#x2014;
Environment factory (callable) that creates new instances.`,name:"env"},{anchor:"openenv.core.create_fastapi_app.action_cls",description:`<strong>action_cls</strong> (<code>Type[Action]</code>) &#x2014;
The Action subclass this environment expects.`,name:"action_cls"},{anchor:"openenv.core.create_fastapi_app.observation_cls",description:`<strong>observation_cls</strong> (<code>Type[Observation]</code>) &#x2014;
The Observation subclass this environment returns.`,name:"observation_cls"},{anchor:"openenv.core.create_fastapi_app.max_concurrent_envs",description:`<strong>max_concurrent_envs</strong> (<code>int</code>, <em>optional</em>) &#x2014;
Maximum concurrent WebSocket sessions. Mutually exclusive with
<code>concurrency_config</code>.`,name:"max_concurrent_envs"},{anchor:"openenv.core.create_fastapi_app.concurrency_config",description:`<strong>concurrency_config</strong> (<code>ConcurrencyConfig</code>, <em>optional</em>) &#x2014;
Advanced concurrency settings. Mutually exclusive with
<code>max_concurrent_envs</code>.`,name:"concurrency_config"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/http_server.py#L1609",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>FastAPI</code> application instance.</p>
`}}),Gs=new Y({props:{title:"Web interface helpers",local:"openenv.core.env_server.web_interface.ActionLog",headingTag:"h3"}}),Zs=new y({props:{name:"class openenv.core.env_server.web_interface.ActionLog",anchor:"openenv.core.env_server.web_interface.ActionLog",parameters:[{name:"timestamp",val:": str"},{name:"action",val:": typing.Dict[str, typing.Any]"},{name:"observation",val:": typing.Dict[str, typing.Any]"},{name:"reward",val:": typing.Optional[float] = None"},{name:"done",val:": bool"},{name:"step_count",val:": int"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L205"}}),zs=new y({props:{name:"class openenv.core.env_server.web_interface.EpisodeState",anchor:"openenv.core.env_server.web_interface.EpisodeState",parameters:[{name:"episode_id",val:": typing.Optional[str] = None"},{name:"step_count",val:": int"},{name:"current_observation",val:": typing.Optional[typing.Dict[str, typing.Any]] = None"},{name:"action_logs",val:": typing.List[openenv.core.env_server.web_interface.ActionLog] = <factory>"},{name:"is_reset",val:": bool = True"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L220"}}),qs=new y({props:{name:"class openenv.core.WebInterfaceManager",anchor:"openenv.core.WebInterfaceManager",parameters:[{name:"env",val:": Environment"},{name:"action_cls",val:": Type[Action]"},{name:"observation_cls",val:": Type[Observation]"},{name:"metadata",val:": Optional[EnvironmentMetadata] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L238"}}),Ys=new y({props:{name:"connect_websocket",anchor:"openenv.core.WebInterfaceManager.connect_websocket",parameters:[{name:"websocket",val:": WebSocket"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L308"}}),Qs=new y({props:{name:"disconnect_websocket",anchor:"openenv.core.WebInterfaceManager.disconnect_websocket",parameters:[{name:"websocket",val:": WebSocket"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L316"}}),Fs=new y({props:{name:"get_state",anchor:"openenv.core.WebInterfaceManager.get_state",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L421"}}),Xs=new y({props:{name:"reset_environment",anchor:"openenv.core.WebInterfaceManager.reset_environment",parameters:[{name:"reset_kwargs",val:": Optional[Dict[str, Any]] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L343"}}),Hs=new y({props:{name:"step_environment",anchor:"openenv.core.WebInterfaceManager.step_environment",parameters:[{name:"action_data",val:": Dict[str, Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L378"}}),Os=new y({props:{name:"openenv.core.create_web_interface_app",anchor:"openenv.core.create_web_interface_app",parameters:[{name:"env",val:": Environment"},{name:"action_cls",val:": Type[Action]"},{name:"observation_cls",val:": Type[Observation]"},{name:"env_name",val:": Optional[str] = None"},{name:"max_concurrent_envs",val:": Optional[int] = None"},{name:"concurrency_config",val:": Optional[Any] = None"},{name:"gradio_builder",val:": Optional[Callable[..., Any]] = None"},{name:"custom_tab_name",val:": str = 'Custom'"},{name:"custom_tab_primary",val:": bool = False"},{name:"show_default_tab",val:": bool = True"},{name:"title_override",val:": Optional[str] = None"}],parametersDescription:[{anchor:"openenv.core.create_web_interface_app.env",description:"<strong>env</strong> &#x2014; The Environment instance to serve",name:"env"},{anchor:"openenv.core.create_web_interface_app.action_cls",description:"<strong>action_cls</strong> &#x2014; The Action subclass this environment expects",name:"action_cls"},{anchor:"openenv.core.create_web_interface_app.observation_cls",description:"<strong>observation_cls</strong> &#x2014; The Observation subclass this environment returns",name:"observation_cls"},{anchor:"openenv.core.create_web_interface_app.env_name",description:"<strong>env_name</strong> &#x2014; Optional environment name for README loading",name:"env_name"},{anchor:"openenv.core.create_web_interface_app.max_concurrent_envs",description:"<strong>max_concurrent_envs</strong> &#x2014; Maximum concurrent WebSocket sessions",name:"max_concurrent_envs"},{anchor:"openenv.core.create_web_interface_app.concurrency_config",description:"<strong>concurrency_config</strong> &#x2014; Optional ConcurrencyConfig for advanced concurrency settings",name:"concurrency_config"},{anchor:"openenv.core.create_web_interface_app.gradio_builder",description:`<strong>gradio_builder</strong> &#x2014; Optional callable (web_manager, action_fields, metadata,
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is provided. Defaults to <code>&quot;Custom&quot;</code> for backwards compatibility; envs
that ship a rich custom UI should pass a descriptive name
(e.g. <code>&quot;REPL&quot;</code>). Ignored when <code>show_default_tab=False</code> (no tab chrome
is rendered).`,name:"custom_tab_name"},{anchor:"openenv.core.create_web_interface_app.custom_tab_primary",description:`<strong>custom_tab_primary</strong> &#x2014; When True, the env-specific tab is rendered first and
selected by default; the auto-generated Playground becomes secondary.
Use this for envs whose custom tab is the real interaction surface
(so visitors don&#x2019;t land on a less informative schema form). Ignored
when <code>show_default_tab=False</code>.`,name:"custom_tab_primary"},{anchor:"openenv.core.create_web_interface_app.show_default_tab",description:`<strong>show_default_tab</strong> &#x2014; When False, the auto-generated Playground tab is not
rendered and the env&#x2019;s <code>gradio_builder</code> output is mounted directly
(single-view UI, no tab chrome). Only meaningful when
<code>gradio_builder</code> is provided.`,name:"show_default_tab"},{anchor:"openenv.core.create_web_interface_app.title_override",description:`<strong>title_override</strong> &#x2014; If set, used verbatim as the Gradio app/browser-tab
title instead of the default <code>&quot;OpenEnv Agentic Environment: {name}&quot;</code>.`,name:"title_override"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/web_interface.py#L427",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>FastAPI application instance with web interface</p>
`}}),Ks=new Y({props:{title:"Serialization",local:"openenv.core.deserialize_action",headingTag:"h3"}}),ea=new y({props:{name:"openenv.core.deserialize_action",anchor:"openenv.core.deserialize_action",parameters:[{name:"action_data",val:": typing.Dict[str, typing.Any]"},{name:"action_cls",val:": typing.Type[openenv.core.env_server.types.Action]"}],parametersDescription:[{anchor:"openenv.core.deserialize_action.action_data",description:`<strong>action_data</strong> (<em>dict</em>) &#x2014;
Dictionary containing action data.`,name:"action_data"},{anchor:"openenv.core.deserialize_action.action_cls",description:`<strong>action_cls</strong> (<em>type</em>) &#x2014;
The Action subclass to instantiate.`,name:"action_cls"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/serialization.py#L30",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><em>Action</em> instance.</p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ValidationError</code> — If <em>action_data</em> is invalid for the action class.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ValidationError</code></p>
`}}),ta=new y({props:{name:"openenv.core.deserialize_action_with_preprocessing",anchor:"openenv.core.deserialize_action_with_preprocessing",parameters:[{name:"action_data",val:": typing.Dict[str, typing.Any]"},{name:"action_cls",val:": typing.Type[openenv.core.env_server.types.Action]"}],parametersDescription:[{anchor:"openenv.core.deserialize_action_with_preprocessing.action_data",description:`<strong>action_data</strong> (<code>dict</code>) &#x2014;
Dictionary containing action data.`,name:"action_data"},{anchor:"openenv.core.deserialize_action_with_preprocessing.action_cls",description:`<strong>action_cls</strong> (<code>type</code>) &#x2014;
The Action subclass to instantiate.`,name:"action_cls"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/serialization.py#L68",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>Action</code> instance.</p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ValidationError</code> — If <code>action_data</code> is invalid for the action class.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ValidationError</code></p>
`}}),na=new y({props:{name:"openenv.core.serialize_observation",anchor:"openenv.core.serialize_observation",parameters:[{name:"observation",val:": Observation"}],parametersDescription:[{anchor:"openenv.core.serialize_observation.observation",description:`<strong>observation</strong> (<code>Observation</code>) &#x2014;
Observation instance to serialize.`,name:"observation"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/serialization.py#L137",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>observation</code> (<code>dict</code>): Observation fields.</li>
<li><code>reward</code> (<code>float</code> or <code>None</code>): Reward value.</li>
<li><code>done</code> (<code>bool</code>): Whether the episode is done.</li>
</ul>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>dict</code> compatible with <code>EnvClient._parse_result()</code>, with keys</p>
`}}),ra=new Y({props:{title:"Transforms",local:"openenv.core.CompositeTransform",headingTag:"h3"}}),oa=new y({props:{name:"class openenv.core.CompositeTransform",anchor:"openenv.core.CompositeTransform",parameters:[{name:"transforms",val:": list"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/base_transforms.py#L13"}}),sa=new y({props:{name:"class openenv.core.NullTransform",anchor:"openenv.core.NullTransform",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/base_transforms.py#L25"}}),aa=new Y({props:{title:"Route configuration",local:"openenv.core.GetEndpointConfig",headingTag:"h3"}}),la=new y({props:{name:"class openenv.core.GetEndpointConfig",anchor:"openenv.core.GetEndpointConfig",parameters:[{name:"path",val:": str"},{name:"handler",val:": typing.Callable[[], pydantic.main.BaseModel | dict]"},{name:"response_model",val:": typing.Union[typing.Type[pydantic.main.BaseModel], type[dict]]"},{name:"tag",val:": str"},{name:"summary",val:": str"},{name:"description",val:": str"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/route_config.py#L22"}}),ia=new y({props:{name:"openenv.core.env_server.route_config.register_get_endpoints",anchor:"openenv.core.env_server.route_config.register_get_endpoints",parameters:[{name:"app",val:": FastAPI"},{name:"configs",val:": typing.List[openenv.core.env_server.route_config.GetEndpointConfig]"}],parametersDescription:[{anchor:"openenv.core.env_server.route_config.register_get_endpoints.app",description:`<strong>app</strong> (<code>~fastapi.FastAPI</code>) &#x2014;
FastAPI application instance.`,name:"app"},{anchor:"openenv.core.env_server.route_config.register_get_endpoints.configs",description:`<strong>configs</strong> (<code>List[GetEndpointConfig]</code>) &#x2014;
List of GET endpoint configurations.`,name:"configs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/route_config.py#L33"}}),ca=new Y({props:{title:"Clients",local:"clients",headingTag:"h2"}}),pa=new Y({props:{title:"Base client",local:"openenv.core.EnvClient",headingTag:"h3"}}),da=new y({props:{name:"class openenv.core.EnvClient",anchor:"openenv.core.EnvClient",parameters:[{name:"base_url",val:": str"},{name:"connect_timeout_s",val:": float = 10.0"},{name:"message_timeout_s",val:": float = 60.0"},{name:"max_message_size_mb",val:": float = 100.0"},{name:"provider",val:": Optional['ContainerProvider | RuntimeProvider'] = None"},{name:"mode",val:": Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L62"}}),Gn=new D({props:{anchor:"openenv.core.EnvClient.example",$$slots:{default:[Kj]},$$scope:{ctx:T}}}),Zn=new D({props:{anchor:"openenv.core.EnvClient.example-2",$$slots:{default:[eJ]},$$scope:{ctx:T}}}),ma=new y({props:{name:"close",anchor:"openenv.core.EnvClient.close",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L447"}}),va=new y({props:{name:"connect",anchor:"openenv.core.EnvClient.connect",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L167",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>self for method chaining</p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ConnectionError</code> — If connection cannot be established</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ConnectionError</code></p>
`}}),ua=new y({props:{name:"disconnect",anchor:"openenv.core.EnvClient.disconnect",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L213"}}),ga=new y({props:{name:"from_docker_image",anchor:"openenv.core.EnvClient.from_docker_image",parameters:[{name:"image",val:": str"},{name:"provider",val:": Optional['ContainerProvider'] = None"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.EnvClient.from_docker_image.image",description:`<strong>image</strong> (<code>str</code>) &#x2014;
Docker image name to run (e.g., <code>&quot;coding-env:latest&quot;</code>).`,name:"image"},{anchor:"openenv.core.EnvClient.from_docker_image.provider",description:`<strong>provider</strong> (<code>ContainerProvider</code>, <em>optional</em>) &#x2014;
Container provider to use. Defaults to <code>LocalDockerProvider</code>.`,name:"provider"},{anchor:"openenv.core.EnvClient.from_docker_image.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Additional arguments to pass to <code>provider.start_container()</code>.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L259",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Connected client instance</p>
`}}),fa=new y({props:{name:"from_env",anchor:"openenv.core.EnvClient.from_env",parameters:[{name:"repo_id",val:": str"},{name:"use_docker",val:": bool = True"},{name:"provider",val:": Optional['ContainerProvider | RuntimeProvider'] = None"},{name:"**provider_kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.EnvClient.from_env.repo_id",description:`<strong>repo_id</strong> (<code>str</code>) &#x2014;
Hugging Face space identifier <code>{org}/{space}</code>.`,name:"repo_id"},{anchor:"openenv.core.EnvClient.from_env.use_docker",description:`<strong>use_docker</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>True</code>) &#x2014;
When <code>True</code>, pull from the HF registry and launch via <code>LocalDockerProvider</code>.
When <code>False</code>, run the space locally with <code>UVProvider</code>.`,name:"use_docker"},{anchor:"openenv.core.EnvClient.from_env.provider",description:`<strong>provider</strong> (<code>ContainerProvider</code> or <code>RuntimeProvider</code>, <em>optional</em>) &#x2014;
Provider instance to reuse. Must be a <code>ContainerProvider</code> when
<code>use_docker=True</code> and a <code>RuntimeProvider</code> otherwise.`,name:"provider"},{anchor:"openenv.core.EnvClient.from_env.*provider_kwargs",description:`*<strong>*provider_kwargs</strong> &#x2014;
Additional keyword arguments forwarded to either the container provider&#x2019;s
<code>start_container</code> (docker) or to the <code>UVProvider</code> constructor/start (uv).
When <code>use_docker=False</code>, the <code>project_path</code> argument can be used to override
the default git URL (<code>git+https://huggingface.co/spaces/{repo_id}</code>).`,name:"*provider_kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L295",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Connected client instance</p>
`}}),Qn=new D({props:{anchor:"openenv.core.EnvClient.from_env.example",$$slots:{default:[tJ]},$$scope:{ctx:T}}}),ha=new y({props:{name:"reset",anchor:"openenv.core.EnvClient.reset",parameters:[{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.EnvClient.reset.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Optional parameters passed to the environment&#x2019;s reset method.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L398",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>StepResult containing initial observation</p>
`}}),ba=new y({props:{name:"state",anchor:"openenv.core.EnvClient.state",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L436",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>State object with environment state information</p>
`}}),$a=new y({props:{name:"step",anchor:"openenv.core.EnvClient.step",parameters:[{name:"action",val:": ActT"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.EnvClient.step.action",description:`<strong>action</strong> &#x2014;
The action to execute.`,name:"action"},{anchor:"openenv.core.EnvClient.step.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Optional parameters (currently ignored).`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L416",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>StepResult containing observation, reward, and done status</p>
`}}),_a=new y({props:{name:"sync",anchor:"openenv.core.EnvClient.sync",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_client.py#L485",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>SyncEnvClient wrapper that provides synchronous methods</p>
`}}),On=new D({props:{anchor:"openenv.core.EnvClient.sync.example",$$slots:{default:[nJ]},$$scope:{ctx:T}}}),ya=new Y({props:{title:"Synchronous client",local:"openenv.SyncEnvClient",headingTag:"h3"}}),xa=new y({props:{name:"class openenv.SyncEnvClient",anchor:"openenv.SyncEnvClient",parameters:[{name:"async_client",val:": 'EnvClient[ActT, ObsT, StateT]'"}],parametersDescription:[{anchor:"openenv.SyncEnvClient._async",description:"<strong>_async</strong> &#x2014; The wrapped async EnvClient instance",name:"_async"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L46"}}),Kn=new D({props:{anchor:"openenv.SyncEnvClient.example",$$slots:{default:[rJ]},$$scope:{ctx:T}}}),Ca=new y({props:{name:"close",anchor:"openenv.SyncEnvClient.close",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L211"}}),wa=new y({props:{name:"connect",anchor:"openenv.SyncEnvClient.connect",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L160",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>self for method chaining</p>
`}}),Ma=new y({props:{name:"disconnect",anchor:"openenv.SyncEnvClient.disconnect",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L170"}}),Ta=new y({props:{name:"reset",anchor:"openenv.SyncEnvClient.reset",parameters:[{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.SyncEnvClient.reset.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Optional parameters passed to the environment&#x2019;s reset method.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L174",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>StepResult containing initial observation</p>
`}}),ja=new y({props:{name:"state",anchor:"openenv.SyncEnvClient.state",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L202",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>State object with environment state information</p>
`}}),Ja=new y({props:{name:"step",anchor:"openenv.SyncEnvClient.step",parameters:[{name:"action",val:": ActT"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.SyncEnvClient.step.action",description:`<strong>action</strong> &#x2014;
The action to execute.`,name:"action"},{anchor:"openenv.SyncEnvClient.step.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Optional parameters.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/sync_client.py#L187",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>StepResult containing observation, reward, and done status</p>
`}}),ka=new Y({props:{title:"Generic client",local:"openenv.GenericEnvClient",headingTag:"h3"}}),Ia=new y({props:{name:"class openenv.GenericEnvClient",anchor:"openenv.GenericEnvClient",parameters:[{name:"base_url",val:": str"},{name:"connect_timeout_s",val:": float = 10.0"},{name:"message_timeout_s",val:": float = 60.0"},{name:"max_message_size_mb",val:": float = 100.0"},{name:"provider",val:": Optional['ContainerProvider | RuntimeProvider'] = None"},{name:"mode",val:": Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/generic_client.py#L21"}}),ar=new D({props:{anchor:"openenv.GenericEnvClient.example",$$slots:{default:[oJ]},$$scope:{ctx:T}}}),Ea=new y({props:{name:"class openenv.GenericAction",anchor:"openenv.GenericAction",parameters:[{name:"**kwargs",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/generic_client.py#L129"}}),lr=new D({props:{anchor:"openenv.GenericAction.example",$$slots:{default:[sJ]},$$scope:{ctx:T}}}),Ua=new Y({props:{title:"LLM client",local:"openenv.core.ToolCall",headingTag:"h3"}}),Pa=new y({props:{name:"class openenv.core.ToolCall",anchor:"openenv.core.ToolCall",parameters:[{name:"id",val:": str"},{name:"name",val:": str"},{name:"args",val:": dict[str, Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L37"}}),La=new y({props:{name:"class openenv.core.LLMResponse",anchor:"openenv.core.LLMResponse",parameters:[{name:"content",val:": str"},{name:"tool_calls",val:": list[ToolCall] = <factory>"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L46"}}),Da=new y({props:{name:"to_message_dict",anchor:"openenv.core.LLMResponse.to_message_dict",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L52"}}),Va=new y({props:{name:"class openenv.core.LLMClient",anchor:"openenv.core.LLMClient",parameters:[{name:"endpoint",val:": str"},{name:"port",val:": int"}],parametersDescription:[{anchor:"openenv.core.LLMClient.endpoint",description:`<strong>endpoint</strong> (<code>str</code>) &#x2014;
The base URL of the LLM service (e.g. &#x201C;http://localhost&#x201D;).`,name:"endpoint"},{anchor:"openenv.core.LLMClient.port",description:`<strong>port</strong> (<code>int</code>) &#x2014;
The port the service listens on.`,name:"port"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L70"}}),Aa=new y({props:{name:"complete",anchor:"openenv.core.LLMClient.complete",parameters:[{name:"prompt",val:": str"},{name:"**kwargs",val:""}],parametersDescription:[{anchor:"openenv.core.LLMClient.complete.prompt",description:`<strong>prompt</strong> (<code>str</code>) &#x2014;
The user prompt to send.`,name:"prompt"},{anchor:"openenv.core.LLMClient.complete.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Override default parameters (temperature, max_tokens, etc.).`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L86",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>The model’s text response.</p>
`}}),Ra=new y({props:{name:"complete_with_tools",anchor:"openenv.core.LLMClient.complete_with_tools",parameters:[{name:"messages",val:": list[dict[str, Any]]"},{name:"tools",val:": list[dict[str, Any]]"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.LLMClient.complete_with_tools.messages",description:`<strong>messages</strong> (<code>list[dict[str, Any]]</code>) &#x2014;
Conversation history as OpenAI-format message dicts.`,name:"messages"},{anchor:"openenv.core.LLMClient.complete_with_tools.tools",description:`<strong>tools</strong> (<code>list[dict[str, Any]]</code>) &#x2014;
MCP tool definitions.`,name:"tools"},{anchor:"openenv.core.LLMClient.complete_with_tools.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Override default parameters (temperature, max_tokens, etc.).`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L101",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>An <code>LLMResponse</code> with the model’s text and any tool calls.</p>
`}}),Sa=new y({props:{name:"class openenv.core.OpenAIClient",anchor:"openenv.core.OpenAIClient",parameters:[{name:"endpoint",val:": str"},{name:"port",val:": int"},{name:"model",val:": str"},{name:"api_key",val:": str | None = None"},{name:"system_prompt",val:": str | None = None"},{name:"temperature",val:": float = 0.0"},{name:"max_tokens",val:": int = 256"},{name:"use_max_completion_tokens",val:": bool = False"}],parametersDescription:[{anchor:"openenv.core.OpenAIClient.endpoint",description:`<strong>endpoint</strong> (<code>str</code>) &#x2014;
The base URL (e.g. &#x201C;http://localhost&#x201D;).`,name:"endpoint"},{anchor:"openenv.core.OpenAIClient.port",description:`<strong>port</strong> (<code>int</code>) &#x2014;
The port number.`,name:"port"},{anchor:"openenv.core.OpenAIClient.model",description:`<strong>model</strong> (<code>str</code>) &#x2014;
Model name to pass to the API.`,name:"model"},{anchor:"openenv.core.OpenAIClient.api_key",description:`<strong>api_key</strong> (<code>str</code>, <em>optional</em>) &#x2014;
API key. Defaults to &#x201C;not-needed&#x201D; for local endpoints.`,name:"api_key"},{anchor:"openenv.core.OpenAIClient.system_prompt",description:`<strong>system_prompt</strong> (<code>str</code>, <em>optional</em>) &#x2014;
System message prepended to every request.`,name:"system_prompt"},{anchor:"openenv.core.OpenAIClient.temperature",description:`<strong>temperature</strong> (<code>float</code>, <em>optional</em>, defaults to <code>0.0</code>) &#x2014;
Default sampling temperature.`,name:"temperature"},{anchor:"openenv.core.OpenAIClient.max_tokens",description:`<strong>max_tokens</strong> (<code>int</code>, <em>optional</em>, defaults to <code>256</code>) &#x2014;
Default max tokens in the response.`,name:"max_tokens"},{anchor:"openenv.core.OpenAIClient.use_max_completion_tokens",description:`<strong>use_max_completion_tokens</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>False</code>) &#x2014;
Use max_completion_tokens instead of max_tokens. Required for newer OpenAI models
(gpt-5-mini, o1, o3). Not supported by self-hosted OpenAI-compatible endpoints.`,name:"use_max_completion_tokens"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L133"}}),Na=new y({props:{name:"complete",anchor:"openenv.core.OpenAIClient.complete",parameters:[{name:"prompt",val:": str"},{name:"**kwargs",val:""}],parametersDescription:[{anchor:"openenv.core.OpenAIClient.complete.prompt",description:`<strong>prompt</strong> (<code>str</code>) &#x2014;
The user message.`,name:"prompt"},{anchor:"openenv.core.OpenAIClient.complete.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Overrides for temperature, max_tokens.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L185",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>The assistant’s response text.</p>
`}}),Wa=new y({props:{name:"class openenv.core.AnthropicClient",anchor:"openenv.core.AnthropicClient",parameters:[{name:"endpoint",val:": str"},{name:"port",val:": int"},{name:"model",val:": str"},{name:"api_key",val:": str | None = None"},{name:"system_prompt",val:": str | None = None"},{name:"temperature",val:": float = 0.0"},{name:"max_tokens",val:": int = 256"}],parametersDescription:[{anchor:"openenv.core.AnthropicClient.endpoint",description:`<strong>endpoint</strong> (<code>str</code>) &#x2014;
The base URL (e.g. &#x201D;<a href="https://api.anthropic.com%22" rel="nofollow">https://api.anthropic.com&#x201D;</a>).`,name:"endpoint"},{anchor:"openenv.core.AnthropicClient.port",description:`<strong>port</strong> (<code>int</code>) &#x2014;
The port number.`,name:"port"},{anchor:"openenv.core.AnthropicClient.model",description:`<strong>model</strong> (<code>str</code>) &#x2014;
Model name (e.g. &#x201C;claude-sonnet-4-20250514&#x201D;).`,name:"model"},{anchor:"openenv.core.AnthropicClient.api_key",description:`<strong>api_key</strong> (<code>str</code>, <em>optional</em>) &#x2014;
Anthropic API key.`,name:"api_key"},{anchor:"openenv.core.AnthropicClient.system_prompt",description:`<strong>system_prompt</strong> (<code>str</code>, <em>optional</em>) &#x2014;
System message prepended to every request.`,name:"system_prompt"},{anchor:"openenv.core.AnthropicClient.temperature",description:`<strong>temperature</strong> (<code>float</code>, <em>optional</em>, defaults to <code>0.0</code>) &#x2014;
Default sampling temperature.`,name:"temperature"},{anchor:"openenv.core.AnthropicClient.max_tokens",description:`<strong>max_tokens</strong> (<code>int</code>, <em>optional</em>, defaults to <code>256</code>) &#x2014;
Default max tokens in the response.`,name:"max_tokens"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L246"}}),Ba=new y({props:{name:"openenv.core.create_llm_client",anchor:"openenv.core.create_llm_client",parameters:[{name:"provider",val:": str"},{name:"model",val:": str"},{name:"api_key",val:": str"},{name:"system_prompt",val:": str | None = None"},{name:"temperature",val:": float = 0.0"},{name:"max_tokens",val:": int = 4096"}],parametersDescription:[{anchor:"openenv.core.create_llm_client.provider",description:`<strong>provider</strong> (<code>str</code>) &#x2014;
Provider name (&#x201C;openai&#x201D; or &#x201C;anthropic&#x201D;).`,name:"provider"},{anchor:"openenv.core.create_llm_client.model",description:`<strong>model</strong> (<code>str</code>) &#x2014;
Model identifier.`,name:"model"},{anchor:"openenv.core.create_llm_client.api_key",description:`<strong>api_key</strong> (<code>str</code>) &#x2014;
API key for the provider.`,name:"api_key"},{anchor:"openenv.core.create_llm_client.system_prompt",description:`<strong>system_prompt</strong> (<code>str</code>, <em>optional</em>) &#x2014;
System message prepended to every request.`,name:"system_prompt"},{anchor:"openenv.core.create_llm_client.temperature",description:`<strong>temperature</strong> (<code>float</code>, <em>optional</em>, defaults to <code>0.0</code>) &#x2014;
Sampling temperature.`,name:"temperature"},{anchor:"openenv.core.create_llm_client.max_tokens",description:`<strong>max_tokens</strong> (<code>int</code>, <em>optional</em>, defaults to <code>4096</code>) &#x2014;
Maximum tokens in the response.`,name:"max_tokens"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/llm_client.py#L363",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>A configured <code>LLMClient</code> instance.</p>
`}}),Ga=new Y({props:{title:"Shared dataclasses",local:"openenv.core.client_types.StepResult",headingTag:"h3"}}),Za=new y({props:{name:"class openenv.core.client_types.StepResult",anchor:"openenv.core.client_types.StepResult",parameters:[{name:"observation",val:": ~ObsT"},{name:"reward",val:": typing.Optional[float] = None"},{name:"done",val:": bool = False"}],parametersDescription:[{anchor:"openenv.core.client_types.StepResult.observation",description:`<strong>observation</strong> &#x2014;
The environment&#x2019;s observation after the action.`,name:"observation"},{anchor:"openenv.core.client_types.StepResult.reward",description:`<strong>reward</strong> (<code>float</code>, <em>optional</em>) &#x2014;
Scalar reward for this step.`,name:"reward"},{anchor:"openenv.core.client_types.StepResult.done",description:`<strong>done</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>False</code>) &#x2014;
Whether the episode is finished.`,name:"done"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/client_types.py#L11"}}),za=new Y({props:{title:"MCP (Model Context Protocol)",local:"mcp-model-context-protocol",headingTag:"h2"}}),qa=new Y({props:{title:"MCP environment",local:"openenv.core.MCPEnvironment",headingTag:"h3"}}),Ya=new y({props:{name:"class openenv.core.MCPEnvironment",anchor:"openenv.core.MCPEnvironment",parameters:[{name:"mcp_server",val:": typing.Any"},{name:"transform",val:": typing.Optional[typing.Any] = None"}],parametersDescription:[{anchor:"openenv.core.MCPEnvironment.mcp_server",description:`<strong>mcp_server</strong> &#x2014; A FastMCP server instance containing tool definitions.
The server&#x2019;s tools will be validated against reserved names.`,name:"mcp_server"},{anchor:"openenv.core.MCPEnvironment.transform",description:"<strong>transform</strong> &#x2014; Optional transform to apply to observations (inherited from Environment).",name:"transform"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L110",raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ValueError</code> — If any tool in the MCP server uses a reserved name
(reset, step, state, close).</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ValueError</code></p>
`}}),dr=new D({props:{anchor:"openenv.core.MCPEnvironment.example",$$slots:{default:[aJ]},$$scope:{ctx:T}}}),Qa=new y({props:{name:"close",anchor:"openenv.core.MCPEnvironment.close",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L644"}}),Fa=new y({props:{name:"execute_code",anchor:"openenv.core.MCPEnvironment.execute_code",parameters:[{name:"code",val:": str"}],parametersDescription:[{anchor:"openenv.core.MCPEnvironment.execute_code.code",description:`<strong>code</strong> &#x2014; Python code to execute. Tools are available as functions
in the execution namespace. Set a variable named &#x2018;result&#x2019;
to capture the return value.`,name:"code"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L267",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Observation with result in metadata[“result”] or error in
metadata[“error”].</p>
`}}),Xa=new y({props:{name:"get_callables",anchor:"openenv.core.MCPEnvironment.get_callables",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L236",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Dictionary mapping tool names to callables.</p>
`}}),Ha=new y({props:{name:"mcp_session",anchor:"openenv.core.MCPEnvironment.mcp_session",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L188"}}),Oa=new y({props:{name:"step",anchor:"openenv.core.MCPEnvironment.step",parameters:[{name:"action",val:": Action"},{name:"timeout_s",val:": typing.Optional[float] = None"},{name:"**kwargs",val:": typing.Any"}],parametersDescription:[{anchor:"openenv.core.MCPEnvironment.step.action",description:`<strong>action</strong> (<code>Action</code>) &#x2014;
The action to execute. <code>ListToolsAction</code> returns available MCP tools,
<code>CallToolAction</code> invokes a specific MCP tool, and any other action
is delegated to _step_impl().`,name:"action"},{anchor:"openenv.core.MCPEnvironment.step.timeout_s",description:`<strong>timeout_s</strong> (<code>float</code>, <em>optional</em>) &#x2014;
Timeout in seconds for the action. Defaults to MCP_TOOL_CALL_TIMEOUT
(30s) for MCP actions.`,name:"timeout_s"},{anchor:"openenv.core.MCPEnvironment.step.*kwargs",description:`*<strong>*kwargs</strong> (<code>Any</code>) &#x2014;
Additional arguments passed to handlers.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L395",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ListToolsObservation</code> for <code>ListToolsAction</code>,
<code>CallToolObservation</code> for <code>CallToolAction</code>, or a subclass-defined
Observation for other actions.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>Observation</code></p>
`}}),Ka=new y({props:{name:"step_async",anchor:"openenv.core.MCPEnvironment.step_async",parameters:[{name:"action",val:": Action"},{name:"timeout_s",val:": typing.Optional[float] = None"},{name:"**kwargs",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L597"}}),el=new y({props:{name:"tool",anchor:"openenv.core.MCPEnvironment.tool",parameters:[{name:"mode",val:": typing.Optional[str] = None"}],parametersDescription:[{anchor:"openenv.core.MCPEnvironment.tool.mode",description:`<strong>mode</strong> &#x2014; Optional mode for the tool (&#x201C;production&#x201D; or &#x201C;simulation&#x201D;).
If None, tool is available in all modes.`,name:"mode"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_environment.py#L320",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>A decorator function for registering tools.</p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>ValueError</code> — If mode is not None, “production”, or “simulation”.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>ValueError</code></p>
`}}),tl=new Y({props:{title:"MCP types",local:"openenv.core.JsonRpcErrorCode",headingTag:"h3"}}),nl=new y({props:{name:"class openenv.core.JsonRpcErrorCode",anchor:"openenv.core.JsonRpcErrorCode",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 1"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L33"}}),rl=new y({props:{name:"class openenv.core.McpMethod",anchor:"openenv.core.McpMethod",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 1"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L51"}}),ol=new y({props:{name:"class openenv.core.JsonRpcError",anchor:"openenv.core.JsonRpcError",parameters:[{name:"code",val:": int"},{name:"message",val:": str"},{name:"data",val:": typing.Optional[typing.Any] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L58"}}),sl=new y({props:{name:"from_code",anchor:"openenv.core.JsonRpcError.from_code",parameters:[{name:"code",val:": JsonRpcErrorCode"},{name:"message",val:": typing.Optional[str] = None"},{name:"data",val:": typing.Any = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L73"}}),al=new y({props:{name:"class openenv.core.JsonRpcRequest",anchor:"openenv.core.JsonRpcRequest",parameters:[{name:"jsonrpc",val:": typing.Literal['2.0']"},{name:"method",val:": str"},{name:"params",val:": typing.Dict[str, typing.Any] = <factory>"},{name:"id",val:": typing.Union[str, int, NoneType] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L93"}}),ll=new y({props:{name:"class openenv.core.JsonRpcResponse",anchor:"openenv.core.JsonRpcResponse",parameters:[{name:"jsonrpc",val:": typing.Literal['2.0'] = '2.0'"},{name:"result",val:": typing.Optional[typing.Any] = None"},{name:"error",val:": typing.Optional[openenv.core.env_server.mcp_types.JsonRpcError] = None"},{name:"id",val:": typing.Union[str, int, NoneType] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L112"}}),il=new y({props:{name:"error_response",anchor:"openenv.core.JsonRpcResponse.error_response",parameters:[{name:"code",val:": JsonRpcErrorCode"},{name:"message",val:": typing.Optional[str] = None"},{name:"data",val:": typing.Any = None"},{name:"request_id",val:": typing.Union[str, int, NoneType] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L163"}}),cl=new y({props:{name:"model_dump",anchor:"openenv.core.JsonRpcResponse.model_dump",parameters:[{name:"**kwargs",val:""}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L135"}}),pl=new y({props:{name:"model_dump_json",anchor:"openenv.core.JsonRpcResponse.model_dump_json",parameters:[{name:"**kwargs",val:""}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L150"}}),dl=new y({props:{name:"success",anchor:"openenv.core.JsonRpcResponse.success",parameters:[{name:"result",val:": typing.Any"},{name:"request_id",val:": typing.Union[str, int, NoneType] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L156"}}),ml=new y({props:{name:"class openenv.core.Tool",anchor:"openenv.core.Tool",parameters:[{name:"name",val:": str"},{name:"description",val:": str"},{name:"input_schema",val:": typing.Dict[str, typing.Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L183"}}),vl=new y({props:{name:"class openenv.core.ToolErrorType",anchor:"openenv.core.ToolErrorType",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 1"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L202"}}),ul=new y({props:{name:"class openenv.core.ToolError",anchor:"openenv.core.ToolError",parameters:[{name:"error_type",val:": ToolErrorType"},{name:"message",val:": str"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L212"}}),gl=new y({props:{name:"class openenv.core.ListToolsAction",anchor:"openenv.core.ListToolsAction",parameters:[{name:"metadata",val:": typing.Dict[str, typing.Any] = <factory>"},{name:"type",val:": typing.Literal['list_tools'] = 'list_tools'"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L229"}}),fl=new y({props:{name:"class openenv.core.CallToolAction",anchor:"openenv.core.CallToolAction",parameters:[{name:"metadata",val:": typing.Dict[str, typing.Any] = <factory>"},{name:"type",val:": typing.Literal['call_tool'] = 'call_tool'"},{name:"tool_name",val:": str"},{name:"arguments",val:": typing.Dict[str, typing.Any] = <factory>"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L243"}}),hl=new y({props:{name:"class openenv.core.ListToolsObservation",anchor:"openenv.core.ListToolsObservation",parameters:[{name:"done",val:": bool = False"},{name:"reward",val:": bool | int | float | None = None"},{name:"metadata",val:": typing.Dict[str, typing.Any] = <factory>"},{name:"tools",val:": typing.List[openenv.core.env_server.mcp_types.Tool]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L263"}}),bl=new y({props:{name:"class openenv.core.CallToolObservation",anchor:"openenv.core.CallToolObservation",parameters:[{name:"done",val:": bool = False"},{name:"reward",val:": bool | int | float | None = None"},{name:"metadata",val:": typing.Dict[str, typing.Any] = <factory>"},{name:"tool_name",val:": str"},{name:"result",val:": typing.Any = None"},{name:"error",val:": typing.Optional[openenv.core.env_server.mcp_types.ToolError] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L273"}}),$l=new y({props:{name:"class openenv.core.WSMCPMessage",anchor:"openenv.core.WSMCPMessage",parameters:[{name:"type",val:": typing.Literal['mcp'] = 'mcp'"},{name:"data",val:": typing.Dict[str, typing.Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L294"}}),_l=new y({props:{name:"class openenv.core.WSMCPResponse",anchor:"openenv.core.WSMCPResponse",parameters:[{name:"type",val:": str = 'mcp'"},{name:"data",val:": typing.Dict[str, typing.Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/env_server/mcp_types.py#L306"}}),yl=new Y({props:{title:"MCP client",local:"openenv.core.MCPClientBase",headingTag:"h3"}}),xl=new y({props:{name:"class openenv.core.MCPClientBase",anchor:"openenv.core.MCPClientBase",parameters:[{name:"base_url",val:": str"},{name:"connect_timeout_s",val:": float = 10.0"},{name:"message_timeout_s",val:": float = 60.0"},{name:"provider",val:": typing.Optional[typing.Any] = None"},{name:"mode",val:": typing.Optional[str] = None"}],parametersDescription:[{anchor:"openenv.core.MCPClientBase._tools_cache",description:"<strong>_tools_cache</strong> &#x2014; Cached list of tools (populated on first <code>list_tools()</code> call)",name:"_tools_cache"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L77"}}),Cl=new y({props:{name:"close",anchor:"openenv.core.MCPClientBase.close",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L326"}}),wl=new y({props:{name:"list_tools",anchor:"openenv.core.MCPClientBase.list_tools",parameters:[{name:"use_cache",val:": bool = True"}],parametersDescription:[{anchor:"openenv.core.MCPClientBase.list_tools.use_cache",description:`<strong>use_cache</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>True</code>) &#x2014;
If <code>True</code>, return cached tools if available. Set to <code>False</code> to force a fresh request.`,name:"use_cache"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L194",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>List of <code>Tool</code> objects with name, description, and input_schema.</p>
`}}),br=new D({props:{anchor:"openenv.core.MCPClientBase.list_tools.example",$$slots:{default:[lJ]},$$scope:{ctx:T}}}),Ml=new y({props:{name:"class openenv.core.MCPToolClient",anchor:"openenv.core.MCPToolClient",parameters:[{name:"base_url",val:": str"},{name:"connect_timeout_s",val:": float = 10.0"},{name:"message_timeout_s",val:": float = 60.0"},{name:"provider",val:": typing.Optional[typing.Any] = None"},{name:"mode",val:": typing.Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L356"}}),$r=new D({props:{anchor:"openenv.core.MCPToolClient.example",$$slots:{default:[iJ]},$$scope:{ctx:T}}}),_r=new D({props:{anchor:"openenv.core.MCPToolClient.example-2",$$slots:{default:[cJ]},$$scope:{ctx:T}}}),Tl=new y({props:{name:"call_tool",anchor:"openenv.core.MCPToolClient.call_tool",parameters:[{name:"name",val:": str"},{name:"**kwargs",val:": typing.Any"}],parametersDescription:[{anchor:"openenv.core.MCPToolClient.call_tool.name",description:`<strong>name</strong> (<code>str</code>) &#x2014;
Name of the tool to invoke (must match a tool from <code>list_tools()</code>).`,name:"name"},{anchor:"openenv.core.MCPToolClient.call_tool.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Arguments to pass to the tool. Must match the tool&#x2019;s input_schema.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L401",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>The tool’s result. The type depends on the tool being called.</p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>RuntimeError</code> — If the server returns an error response.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code></p>
`}}),yr=new D({props:{anchor:"openenv.core.MCPToolClient.call_tool.example",$$slots:{default:[pJ]},$$scope:{ctx:T}}}),jl=new y({props:{name:"get_tool",anchor:"openenv.core.MCPToolClient.get_tool",parameters:[{name:"name",val:": str"}],parametersDescription:[{anchor:"openenv.core.MCPToolClient.get_tool.name",description:`<strong>name</strong> (<code>str</code>) &#x2014;
Name of the tool to find.`,name:"name"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L477",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>The <code>Tool</code> object if found, <code>None</code> otherwise.</p>
`}}),xr=new D({props:{anchor:"openenv.core.MCPToolClient.get_tool.example",$$slots:{default:[dJ]},$$scope:{ctx:T}}}),Jl=new y({props:{name:"has_tool",anchor:"openenv.core.MCPToolClient.has_tool",parameters:[{name:"name",val:": str"}],parametersDescription:[{anchor:"openenv.core.MCPToolClient.has_tool.name",description:`<strong>name</strong> (<code>str</code>) &#x2014;
Name of the tool to check.`,name:"name"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/mcp_client.py#L503",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>True</code> if the tool exists, <code>False</code> otherwise.</p>
`}}),kl=new Y({props:{title:"Rubrics",local:"openenv.core.rubrics.Rubric",headingTag:"h2"}}),Il=new y({props:{name:"class openenv.core.rubrics.Rubric",anchor:"openenv.core.rubrics.Rubric",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L21"}}),wr=new D({props:{anchor:"openenv.core.rubrics.Rubric.example",$$slots:{default:[mJ]},$$scope:{ctx:T}}}),El=new y({props:{name:"children",anchor:"openenv.core.rubrics.Rubric.children",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L149"}}),Ul=new y({props:{name:"forward",anchor:"openenv.core.rubrics.Rubric.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],parametersDescription:[{anchor:"openenv.core.rubrics.Rubric.forward.action",description:"<strong>action</strong> &#x2014; The action taken by the agent.",name:"action"},{anchor:"openenv.core.rubrics.Rubric.forward.observation",description:"<strong>observation</strong> &#x2014; The resulting observation.",name:"observation"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L114",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Reward value (typically 0.0 to 1.0).</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>float</code></p>
`}}),Pl=new y({props:{name:"get_rubric",anchor:"openenv.core.rubrics.Rubric.get_rubric",parameters:[{name:"path",val:": str"}],parametersDescription:[{anchor:"openenv.core.rubrics.Rubric.get_rubric.path",description:`<strong>path</strong> (<code>str</code>) &#x2014;
Dot-separated path (e.g., &#x201C;code.syntax&#x201D;).`,name:"path"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L170",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>The rubric at the specified path.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>Rubric</code></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>KeyError</code> — If the path does not exist.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>KeyError</code></p>
`}}),Ll=new y({props:{name:"load_state_dict",anchor:"openenv.core.rubrics.Rubric.load_state_dict",parameters:[{name:"state",val:": typing.Dict[str, typing.Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L199"}}),Dl=new y({props:{name:"named_children",anchor:"openenv.core.rubrics.Rubric.named_children",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L153"}}),Vl=new y({props:{name:"named_rubrics",anchor:"openenv.core.rubrics.Rubric.named_rubrics",parameters:[{name:"prefix",val:": str = ''"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L163"}}),Al=new y({props:{name:"register_forward_hook",anchor:"openenv.core.rubrics.Rubric.register_forward_hook",parameters:[{name:"hook",val:": typing.Callable[[ForwardRef('Rubric'), typing.Any, typing.Any, float], NoneType]"}],parametersDescription:[{anchor:"openenv.core.rubrics.Rubric.register_forward_hook.hook",description:`<strong>hook</strong> (<code>Callable</code>) &#x2014;
Callable with signature (rubric, action, observation, result).`,name:"hook"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L127"}}),Rl=new y({props:{name:"register_forward_pre_hook",anchor:"openenv.core.rubrics.Rubric.register_forward_pre_hook",parameters:[{name:"hook",val:": typing.Callable[[ForwardRef('Rubric'), typing.Any, typing.Any], NoneType]"}],parametersDescription:[{anchor:"openenv.core.rubrics.Rubric.register_forward_pre_hook.hook",description:`<strong>hook</strong> (<code>Callable</code>) &#x2014;
Callable with signature (rubric, action, observation).`,name:"hook"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L138"}}),Sl=new y({props:{name:"reset",anchor:"openenv.core.rubrics.Rubric.reset",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L191"}}),Nl=new y({props:{name:"rubrics",anchor:"openenv.core.rubrics.Rubric.rubrics",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L157"}}),Wl=new y({props:{name:"state_dict",anchor:"openenv.core.rubrics.Rubric.state_dict",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/base.py#L195"}}),Bl=new y({props:{name:"class openenv.core.rubrics.Sequential",anchor:"openenv.core.rubrics.Sequential",parameters:[{name:"*rubrics",val:": Rubric"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L31"}}),Vr=new D({props:{anchor:"openenv.core.rubrics.Sequential.example",$$slots:{default:[vJ]},$$scope:{ctx:T}}}),Gl=new y({props:{name:"forward",anchor:"openenv.core.rubrics.Sequential.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L61"}}),Zl=new y({props:{name:"class openenv.core.rubrics.Gate",anchor:"openenv.core.rubrics.Gate",parameters:[{name:"rubric",val:": Rubric"},{name:"threshold",val:": float = 1.0"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L264"}}),Rr=new D({props:{anchor:"openenv.core.rubrics.Gate.example",$$slots:{default:[uJ]},$$scope:{ctx:T}}}),zl=new y({props:{name:"forward",anchor:"openenv.core.rubrics.Gate.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L290"}}),ql=new y({props:{name:"class openenv.core.rubrics.WeightedSum",anchor:"openenv.core.rubrics.WeightedSum",parameters:[{name:"rubrics",val:": typing.List[openenv.core.rubrics.base.Rubric]"},{name:"weights",val:": typing.List[float]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L336"}}),Nr=new D({props:{anchor:"openenv.core.rubrics.WeightedSum.example",$$slots:{default:[gJ]},$$scope:{ctx:T}}}),Yl=new y({props:{name:"forward",anchor:"openenv.core.rubrics.WeightedSum.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L377"}}),Ql=new y({props:{name:"class openenv.core.rubrics.RubricList",anchor:"openenv.core.rubrics.RubricList",parameters:[{name:"rubrics",val:": typing.List[openenv.core.rubrics.base.Rubric] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L455"}}),Br=new D({props:{anchor:"openenv.core.rubrics.RubricList.example",$$slots:{default:[fJ]},$$scope:{ctx:T}}}),Fl=new y({props:{name:"append",anchor:"openenv.core.rubrics.RubricList.append",parameters:[{name:"rubric",val:": Rubric"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L494"}}),Xl=new y({props:{name:"extend",anchor:"openenv.core.rubrics.RubricList.extend",parameters:[{name:"rubrics",val:": typing.List[openenv.core.rubrics.base.Rubric]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L500"}}),Hl=new y({props:{name:"forward",anchor:"openenv.core.rubrics.RubricList.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L487"}}),Ol=new y({props:{name:"class openenv.core.rubrics.RubricDict",anchor:"openenv.core.rubrics.RubricDict",parameters:[{name:"rubrics",val:": typing.Dict[str, openenv.core.rubrics.base.Rubric] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L515"}}),qr=new D({props:{anchor:"openenv.core.rubrics.RubricDict.example",$$slots:{default:[hJ]},$$scope:{ctx:T}}}),Kl=new y({props:{name:"forward",anchor:"openenv.core.rubrics.RubricDict.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L553"}}),ei=new y({props:{name:"items",anchor:"openenv.core.rubrics.RubricDict.items",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L587"}}),ti=new y({props:{name:"keys",anchor:"openenv.core.rubrics.RubricDict.keys",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L579"}}),ni=new y({props:{name:"update",anchor:"openenv.core.rubrics.RubricDict.update",parameters:[{name:"rubrics",val:": typing.Union[typing.Dict[str, openenv.core.rubrics.base.Rubric], typing.Mapping[str, openenv.core.rubrics.base.Rubric]]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L591"}}),ri=new y({props:{name:"values",anchor:"openenv.core.rubrics.RubricDict.values",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/containers.py#L583"}}),oi=new y({props:{name:"class openenv.core.rubrics.TrajectoryRubric",anchor:"openenv.core.rubrics.TrajectoryRubric",parameters:[{name:"intermediate_reward",val:": float = 0.0"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L26"}}),Or=new D({props:{anchor:"openenv.core.rubrics.TrajectoryRubric.example",$$slots:{default:[bJ]},$$scope:{ctx:T}}}),si=new y({props:{name:"compute_step_rewards",anchor:"openenv.core.rubrics.TrajectoryRubric.compute_step_rewards",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L111",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Rewards, one per step. Length matches len(trajectory).</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>list[float]</code></p>
`}}),ai=new y({props:{name:"forward",anchor:"openenv.core.rubrics.TrajectoryRubric.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],parametersDescription:[{anchor:"openenv.core.rubrics.TrajectoryRubric.forward.action",description:"<strong>action</strong> &#x2014; The action taken.",name:"action"},{anchor:"openenv.core.rubrics.TrajectoryRubric.forward.observation",description:"<strong>observation</strong> &#x2014; The resulting observation. Must have a &#x2018;done&#x2019; attribute.",name:"observation"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L77",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>intermediate_reward if not done, else score_trajectory() result.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>float</code></p>
`}}),li=new y({props:{name:"load_state_dict",anchor:"openenv.core.rubrics.TrajectoryRubric.load_state_dict",parameters:[{name:"state",val:": typing.Dict[str, typing.Any]"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L136"}}),ii=new y({props:{name:"reset",anchor:"openenv.core.rubrics.TrajectoryRubric.reset",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L123"}}),ci=new y({props:{name:"score_trajectory",anchor:"openenv.core.rubrics.TrajectoryRubric.score_trajectory",parameters:[{name:"trajectory",val:": typing.List[typing.Tuple[typing.Any, typing.Any]]"}],parametersDescription:[{anchor:"openenv.core.rubrics.TrajectoryRubric.score_trajectory.trajectory",description:`<strong>trajectory</strong> (<code>list</code>) &#x2014;
List of (action, observation) tuples.`,name:"trajectory"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L96",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Final trajectory score (typically 0.0 to 1.0).</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>float</code></p>
`}}),pi=new y({props:{name:"state_dict",anchor:"openenv.core.rubrics.TrajectoryRubric.state_dict",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L132"}}),di=new y({props:{name:"class openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric",anchor:"openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric",parameters:[{name:"gamma",val:": float = 0.99"},{name:"intermediate_reward",val:": float = 0.0"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L142"}}),no=new D({props:{anchor:"openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric.example",$$slots:{default:[$J]},$$scope:{ctx:T}}}),ro=new D({props:{anchor:"openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric.example-2",$$slots:{default:[_J]},$$scope:{ctx:T}}}),mi=new y({props:{name:"compute_step_rewards",anchor:"openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric.compute_step_rewards",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L191",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Discounted rewards where <code>step_rewards[t] = gamma^(T-1-t) * R_final</code>,
T is the trajectory length and R_final is score_trajectory().</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>list[float]</code></p>
`}}),vi=new y({props:{name:"state_dict",anchor:"openenv.core.rubrics.ExponentialDiscountingTrajectoryRubric.state_dict",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/trajectory.py#L205"}}),ui=new y({props:{name:"class openenv.core.rubrics.LLMJudge",anchor:"openenv.core.rubrics.LLMJudge",parameters:[{name:"prompt_template",val:": str"},{name:"client",val:": LLMClient"},{name:"score_pattern",val:": str | None = None"},{name:"default_score",val:": float = 0.0"},{name:"normalize",val:": bool = True"}],parametersDescription:[{anchor:"openenv.core.rubrics.LLMJudge.prompt_template",description:`<strong>prompt_template</strong> (<em>str</em>) &#x2014;
Template string with {action} and {observation} placeholders.`,name:"prompt_template"},{anchor:"openenv.core.rubrics.LLMJudge.client",description:`<strong>client</strong> (<em>LLMClient</em>) &#x2014;
An LLMClient instance for making LLM calls.`,name:"client"},{anchor:"openenv.core.rubrics.LLMJudge.score_pattern",description:`<strong>score_pattern</strong> (<em>str</em>, <em>optional</em>) &#x2014;
Regex to extract the score from the LLM response. Defaults to matching
the first decimal number.`,name:"score_pattern"},{anchor:"openenv.core.rubrics.LLMJudge.default_score",description:`<strong>default_score</strong> (<em>float</em>, <em>optional</em>, defaults to <em>0.0</em>) &#x2014;
Score returned when parsing fails.`,name:"default_score"},{anchor:"openenv.core.rubrics.LLMJudge.normalize",description:`<strong>normalize</strong> (<em>bool</em>, <em>optional</em>, defaults to <em>True</em>) &#x2014;
If True, clamp extracted score to [0, 1].`,name:"normalize"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/llm_judge.py#L32"}}),gi=new y({props:{name:"forward",anchor:"openenv.core.rubrics.LLMJudge.forward",parameters:[{name:"action",val:": typing.Any"},{name:"observation",val:": typing.Any"}],parametersDescription:[{anchor:"openenv.core.rubrics.LLMJudge.forward.action",description:"<strong>action</strong> &#x2014; The action taken by the agent.",name:"action"},{anchor:"openenv.core.rubrics.LLMJudge.forward.observation",description:"<strong>observation</strong> &#x2014; The resulting observation.",name:"observation"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/llm_judge.py#L68",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Parsed score from the LLM response.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>float</code></p>
`}}),fi=new y({props:{name:"state_dict",anchor:"openenv.core.rubrics.LLMJudge.state_dict",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/rubrics/llm_judge.py#L108"}}),hi=new Y({props:{title:"Tools",local:"openenv.core.tools.RepoInfo",headingTag:"h2"}}),bi=new y({props:{name:"class openenv.core.tools.RepoInfo",anchor:"openenv.core.tools.RepoInfo",parameters:[{name:"name",val:": str"},{name:"url",val:": str"},{name:"commit",val:": str"},{name:"clone_url",val:": str"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L21"}}),$i=new y({props:{name:"class openenv.core.tools.GitServerClient",anchor:"openenv.core.tools.GitServerClient",parameters:[{name:"gitea_url",val:": str"},{name:"username",val:": str"},{name:"password",val:": str"},{name:"workspace_dir",val:": str = '/workspace'"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.gitea_url",description:"<strong>gitea_url</strong> &#x2014; URL of the Gitea server (e.g., &#x201C;http://gitea:3000&#x201D;)",name:"gitea_url"},{anchor:"openenv.core.tools.GitServerClient.username",description:"<strong>username</strong> &#x2014; Gitea username for authentication",name:"username"},{anchor:"openenv.core.tools.GitServerClient.password",description:"<strong>password</strong> &#x2014; Gitea password for authentication",name:"password"},{anchor:"openenv.core.tools.GitServerClient.workspace_dir",description:"<strong>workspace_dir</strong> &#x2014; Local workspace directory for cloning repos",name:"workspace_dir"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L30"}}),io=new D({props:{anchor:"openenv.core.tools.GitServerClient.example",$$slots:{default:[yJ]},$$scope:{ctx:T}}}),_i=new y({props:{name:"clone_to_workspace",anchor:"openenv.core.tools.GitServerClient.clone_to_workspace",parameters:[{name:"repo_name",val:": str"},{name:"target_dir",val:": str | None = None"},{name:"commit",val:": str = 'main'"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.clone_to_workspace.repo_name",description:`<strong>repo_name</strong> (<code>str</code>) &#x2014;
Name of repository to clone.`,name:"repo_name"},{anchor:"openenv.core.tools.GitServerClient.clone_to_workspace.target_dir",description:`<strong>target_dir</strong> (<code>str</code>, <em>optional</em>) &#x2014;
Target directory name. Defaults to <code>repo_name</code>.`,name:"target_dir"},{anchor:"openenv.core.tools.GitServerClient.clone_to_workspace.commit",description:`<strong>commit</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;main&quot;</code>) &#x2014;
Commit hash or branch to check out.`,name:"commit"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L184",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Path to cloned repository.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>RuntimeError</code> — If clone fails.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code></p>
`}}),yi=new y({props:{name:"execute_git_command",anchor:"openenv.core.tools.GitServerClient.execute_git_command",parameters:[{name:"command",val:": str"},{name:"working_dir",val:": str = ''"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.execute_git_command.command",description:`<strong>command</strong> (<code>str</code>) &#x2014;
Git command to execute (without <code>git</code> prefix).`,name:"command"},{anchor:"openenv.core.tools.GitServerClient.execute_git_command.working_dir",description:`<strong>working_dir</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;&quot;</code>) &#x2014;
Working directory relative to workspace.`,name:"working_dir"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L318",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>tuple</code> of (exit_code, stdout, stderr).</p>
`}}),xi=new y({props:{name:"get_current_commit",anchor:"openenv.core.tools.GitServerClient.get_current_commit",parameters:[{name:"repo_name",val:": str"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.get_current_commit.repo_name",description:`<strong>repo_name</strong> (<code>str</code>) &#x2014;
Name of repository in workspace.`,name:"repo_name"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L352",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Commit hash.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`}}),Ci=new y({props:{name:"list_repositories",anchor:"openenv.core.tools.GitServerClient.list_repositories",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L145",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>list</code> of repository information dictionaries.</p>
`}}),wi=new y({props:{name:"reset_workspace",anchor:"openenv.core.tools.GitServerClient.reset_workspace",parameters:[{name:"repo_name",val:": str"},{name:"commit",val:": str = 'main'"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.reset_workspace.repo_name",description:`<strong>repo_name</strong> (<code>str</code>) &#x2014;
Name of repository (directory in workspace).`,name:"repo_name"},{anchor:"openenv.core.tools.GitServerClient.reset_workspace.commit",description:`<strong>commit</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;main&quot;</code>) &#x2014;
Commit hash or branch to reset to.`,name:"commit"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L242",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>True if reset successful.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>bool</code></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>RuntimeError</code> — If reset fails.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code></p>
`}}),Mi=new y({props:{name:"wait_for_ready",anchor:"openenv.core.tools.GitServerClient.wait_for_ready",parameters:[{name:"timeout",val:": int = 30"}],parametersDescription:[{anchor:"openenv.core.tools.GitServerClient.wait_for_ready.timeout",description:`<strong>timeout</strong> (<code>int</code>, <em>optional</em>, defaults to <code>30</code>) &#x2014;
Maximum seconds to wait.`,name:"timeout"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L114",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>True if server is ready, False otherwise.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>bool</code></p>
`}}),Ti=new y({props:{name:"workspace_exists",anchor:"openenv.core.tools.GitServerClient.workspace_exists",parameters:[{name:"repo_name",val:": str"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/tools/git_server_client.py#L380"}}),ji=new Y({props:{title:"Container providers",local:"openenv.core.containers.runtime.ContainerProvider",headingTag:"h2"}}),Ji=new y({props:{name:"class openenv.core.containers.runtime.ContainerProvider",anchor:"openenv.core.containers.runtime.ContainerProvider",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L20"}}),go=new D({props:{anchor:"openenv.core.containers.runtime.ContainerProvider.example",$$slots:{default:[xJ]},$$scope:{ctx:T}}}),ki=new y({props:{name:"start_container",anchor:"openenv.core.containers.runtime.ContainerProvider.start_container",parameters:[{name:"image",val:": str"},{name:"port",val:": Optional[int] = None"},{name:"env_vars",val:": Optional[Dict[str, str]] = None"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.ContainerProvider.start_container.image",description:`<strong>image</strong> (<code>str</code>) &#x2014;
Container image name (e.g., <code>&quot;echo-env:latest&quot;</code>).`,name:"image"},{anchor:"openenv.core.containers.runtime.ContainerProvider.start_container.port",description:`<strong>port</strong> (<code>int</code>, <em>optional</em>) &#x2014;
Port to expose. If <code>None</code>, the provider chooses.`,name:"port"},{anchor:"openenv.core.containers.runtime.ContainerProvider.start_container.env_vars",description:`<strong>env_vars</strong> (<code>dict</code>, <em>optional</em>) &#x2014;
Environment variables to pass to container.`,name:"env_vars"},{anchor:"openenv.core.containers.runtime.ContainerProvider.start_container.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Provider-specific options.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L44",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Base URL to connect to the container (e.g., <code>"http://localhost:8000"</code>).</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>RuntimeError</code> — If container fails to start.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code></p>
`}}),Ii=new y({props:{name:"stop_container",anchor:"openenv.core.containers.runtime.ContainerProvider.stop_container",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L73"}}),Ei=new y({props:{name:"wait_for_ready",anchor:"openenv.core.containers.runtime.ContainerProvider.wait_for_ready",parameters:[{name:"base_url",val:": str"},{name:"timeout_s",val:": float = 30.0"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.ContainerProvider.wait_for_ready.base_url",description:`<strong>base_url</strong> (<code>str</code>) &#x2014;
Base URL of the container.`,name:"base_url"},{anchor:"openenv.core.containers.runtime.ContainerProvider.wait_for_ready.timeout_s",description:`<strong>timeout_s</strong> (<code>float</code>, <em>optional</em>, defaults to <code>30.0</code>) &#x2014;
Maximum time to wait in seconds.`,name:"timeout_s"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L82",raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>TimeoutError</code> — If container doesn’t become ready in time.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>TimeoutError</code></p>
`}}),Ui=new y({props:{name:"class openenv.core.containers.runtime.LocalDockerProvider",anchor:"openenv.core.containers.runtime.LocalDockerProvider",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L101"}}),ho=new D({props:{anchor:"openenv.core.containers.runtime.LocalDockerProvider.example",$$slots:{default:[CJ]},$$scope:{ctx:T}}}),Pi=new y({props:{name:"start_container",anchor:"openenv.core.containers.runtime.LocalDockerProvider.start_container",parameters:[{name:"image",val:": str"},{name:"port",val:": Optional[int] = None"},{name:"env_vars",val:": Optional[Dict[str, str]] = None"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.LocalDockerProvider.start_container.image",description:`<strong>image</strong> (<code>str</code>) &#x2014;
Docker image name.`,name:"image"},{anchor:"openenv.core.containers.runtime.LocalDockerProvider.start_container.port",description:`<strong>port</strong> (<code>int</code>, <em>optional</em>) &#x2014;
Port to expose. If <code>None</code>, finds an available port.`,name:"port"},{anchor:"openenv.core.containers.runtime.LocalDockerProvider.start_container.env_vars",description:`<strong>env_vars</strong> (<code>dict</code>, <em>optional</em>) &#x2014;
Environment variables for the container.`,name:"env_vars"},{anchor:"openenv.core.containers.runtime.LocalDockerProvider.start_container.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Additional Docker run options.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L142",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Base URL to connect to the container.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`}}),Li=new y({props:{name:"stop_container",anchor:"openenv.core.containers.runtime.LocalDockerProvider.stop_container",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L208"}}),Di=new y({props:{name:"wait_for_ready",anchor:"openenv.core.containers.runtime.LocalDockerProvider.wait_for_ready",parameters:[{name:"base_url",val:": str"},{name:"timeout_s",val:": float = 30.0"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.LocalDockerProvider.wait_for_ready.base_url",description:`<strong>base_url</strong> (<code>str</code>) &#x2014;
Base URL of the container.`,name:"base_url"},{anchor:"openenv.core.containers.runtime.LocalDockerProvider.wait_for_ready.timeout_s",description:`<strong>timeout_s</strong> (<code>float</code>, <em>optional</em>, defaults to <code>30.0</code>) &#x2014;
Maximum time to wait in seconds.`,name:"timeout_s"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L240",raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>TimeoutError</code> — If container doesn’t become ready.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>TimeoutError</code></p>
`}}),Vi=new y({props:{name:"class openenv.core.containers.runtime.DockerSwarmProvider",anchor:"openenv.core.containers.runtime.DockerSwarmProvider",parameters:[{name:"auto_init_swarm",val:": bool = True"},{name:"overlay_network",val:": Optional[str] = None"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L310"}}),Ai=new y({props:{name:"start_container",anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container",parameters:[{name:"image",val:": str"},{name:"port",val:": Optional[int] = None"},{name:"env_vars",val:": Optional[Dict[str, str]] = None"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.image",description:`<strong>image</strong> (<code>str</code>) &#x2014;
Docker image name.`,name:"image"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.port",description:`<strong>port</strong> (<code>int</code>, <em>optional</em>) &#x2014;
Port to expose. If <code>None</code>, finds an available port.`,name:"port"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.env_vars",description:`<strong>env_vars</strong> (<code>dict</code>, <em>optional</em>) &#x2014;
Environment variables for the container.`,name:"env_vars"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.replicas",description:`<strong>replicas</strong> (<code>int</code>, <em>optional</em>, defaults to <code>2</code>) &#x2014;
Number of container replicas.`,name:"replicas"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.cpu_limit",description:`<strong>cpu_limit</strong> (<code>float</code> or <code>str</code>, <em>optional</em>) &#x2014;
CPU limit passed to <code>--limit-cpu</code>.`,name:"cpu_limit"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.memory_limit",description:`<strong>memory_limit</strong> (<code>str</code>, <em>optional</em>) &#x2014;
Memory limit passed to <code>--limit-memory</code>.`,name:"memory_limit"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.constraints",description:`<strong>constraints</strong> (<code>Sequence[str]</code>, <em>optional</em>) &#x2014;
Placement constraints.`,name:"constraints"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.labels",description:`<strong>labels</strong> (<code>dict</code>, <em>optional</em>) &#x2014;
Service labels.`,name:"labels"},{anchor:"openenv.core.containers.runtime.DockerSwarmProvider.start_container.command",description:`<strong>command</strong> (<code>Sequence[str]</code> or <code>str</code>, <em>optional</em>) &#x2014;
Override container command.`,name:"command"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L347",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Base URL to connect to the service.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`}}),Ri=new y({props:{name:"stop_container",anchor:"openenv.core.containers.runtime.DockerSwarmProvider.stop_container",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L474"}}),Si=new y({props:{name:"wait_for_ready",anchor:"openenv.core.containers.runtime.DockerSwarmProvider.wait_for_ready",parameters:[{name:"base_url",val:": str"},{name:"timeout_s",val:": float = 30.0"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L498"}}),Ni=new y({props:{name:"class openenv.core.containers.runtime.KubernetesProvider",anchor:"openenv.core.containers.runtime.KubernetesProvider",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L628"}}),Co=new D({props:{anchor:"openenv.core.containers.runtime.KubernetesProvider.example",$$slots:{default:[wJ]},$$scope:{ctx:T}}}),Wi=new y({props:{name:"class openenv.core.containers.runtime.RuntimeProvider",anchor:"openenv.core.containers.runtime.RuntimeProvider",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L648"}}),wo=new D({props:{anchor:"openenv.core.containers.runtime.RuntimeProvider.example",$$slots:{default:[MJ]},$$scope:{ctx:T}}}),Bi=new y({props:{name:"start",anchor:"openenv.core.containers.runtime.RuntimeProvider.start",parameters:[{name:"port",val:": Optional[int] = None"},{name:"env_vars",val:": Optional[Dict[str, str]] = None"},{name:"**kwargs",val:": Any"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.RuntimeProvider.start.port",description:`<strong>port</strong> (<code>int</code>, <em>optional</em>) &#x2014;
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Environment variables for the runtime.`,name:"env_vars"},{anchor:"openenv.core.containers.runtime.RuntimeProvider.start.*kwargs",description:`*<strong>*kwargs</strong> &#x2014;
Additional runtime options.`,name:"*kwargs"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L667",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Base URL to connect to the runtime.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`}}),Gi=new y({props:{name:"stop",anchor:"openenv.core.containers.runtime.RuntimeProvider.stop",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L689"}}),Zi=new y({props:{name:"wait_for_ready",anchor:"openenv.core.containers.runtime.RuntimeProvider.wait_for_ready",parameters:[{name:"timeout_s",val:": float = 30.0"}],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/providers.py#L696"}}),zi=new y({props:{name:"class openenv.core.containers.runtime.UVProvider",anchor:"openenv.core.containers.runtime.UVProvider",parameters:[{name:"project_path",val:": str"},{name:"app",val:": str = 'server.app:app'"},{name:"host",val:": str = '0.0.0.0'"},{name:"reload",val:": bool = False"},{name:"env_vars",val:": Optional[Dict[str, str]] = None"},{name:"context_timeout_s",val:": float = 60.0"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.UVProvider.project_path",description:`<strong>project_path</strong> (<em>str</em>) &#x2014;
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<p>Base URL of the environment.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>str</code></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><code>RuntimeError</code> — If the environment is already running.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code></p>
`}}),Yi=new y({props:{name:"stop",anchor:"openenv.core.containers.runtime.UVProvider.stop",parameters:[],source:"https://github.com/huggingface/openenv/blob/vr_753/openenv/core/containers/runtime/uv_provider.py#L203"}}),Qi=new y({props:{name:"wait_for_ready",anchor:"openenv.core.containers.runtime.UVProvider.wait_for_ready",parameters:[{name:"timeout_s",val:": float = 60.0"}],parametersDescription:[{anchor:"openenv.core.containers.runtime.UVProvider.wait_for_ready.timeout_s",description:`<strong>timeout_s</strong> (<code>float</code>, <em>optional</em>, defaults to <code>60.0</code>) &#x2014;
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<ul>
<li><code>RuntimeError</code> — If the environment is not running.</li>
<li><code>TimeoutError</code> — If the environment does not become ready within the timeout.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>RuntimeError</code> or <code>TimeoutError</code></p>
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