openenv/pr_849/en/_app/immutable/nodes/17.bbfc97a2.js

import{s as Ut,n as ot,o as pt}from"../chunks/scheduler.2b22cead.js";import{S as Tt,i as ct,e as T,s as n,c as M,h as rt,a as c,d as e,b as a,f as it,g as i,j as r,k as yt,l as Jt,m as s,n as y,t as U,o,p}from"../chunks/index.1a0e8013.js";import{C as mt,H as J,E as wt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.05940ba4.js";import{C as tl}from"../chunks/CodeBlock.da090c73.js";function jt(xl){let m,nl,el,al,w,Ml,j,il,C,ql="A financial question-answering environment for RL training. Evaluates LLMs on their ability to answer complex financial questions using tool calls on SEC 10-K filing data.",yl,d,Hl='Based on <a href="https://github.com/snorkel-ai/FinQABenchmark" rel="nofollow">FinQABenchmark</a> from Snorkel AI.',Ul,u,ol,b,Ll="FinQA tests an agent’s ability to:",pl,h,zl="<li>Explore available financial tables for a company</li> <li>Query table metadata and execute SQL queries</li> <li>Perform calculations on extracted data</li> <li>Submit final answers to financial questions</li>",Tl,I,Dl="<strong>Dataset</strong>: 290 questions from SEC 10-K filings across multiple companies (Alphabet, Amazon, Apple, AT&amp;T, etc.)",cl,f,Ol="<strong>Reward</strong>: Binary (1.0 for correct answer, 0.0 for incorrect) using fuzzy numerical matching with 1% tolerance.",rl,A,Pl="<p><strong>Note</strong>: This dataset is for evaluation only. Do not train on it.</p>",Jl,v,ml,$,wl,B,jl,g,Cl,E,dl,k,ul,Q,Kl="The client uses the MCP protocol and is async by default:",bl,G,hl,F,Il,Z,lt="Tools are auto-discovered via MCP. Use <code>await env.list_tools()</code> to see all available tools at runtime.",fl,R,tt="<thead><tr><th>Tool</th> <th>Description</th> <th>Arguments</th></tr></thead> <tbody><tr><td><code>get_descriptions</code></td> <td>Get list of available table names for a company</td> <td><code>company_name: str</code></td></tr> <tr><td><code>get_table_info</code></td> <td>Get table metadata (columns, dtypes, unique values)</td> <td><code>company_name: str, table_name: str</code></td></tr> <tr><td><code>sql_query</code></td> <td>Execute SQL query on a table (requires filters)</td> <td><code>company_name: str, table_name: str, query: str</code></td></tr> <tr><td><code>submit_answer</code></td> <td>Submit final answer (ends episode)</td> <td><code>answer: str</code></td></tr></tbody>",Al,V,vl,N,et="<li><strong>sql_query</strong>: Must include filters (<code>WHERE</code>, <code>HAVING</code>, etc.). <code>SELECT *</code> is not allowed.</li>",$l,W,Bl,Y,st="<thead><tr><th>Variable</th> <th>Default</th> <th>Description</th></tr></thead> <tbody><tr><td><code>FINQA_DATA_PATH</code></td> <td><code>/app/env/data</code></td> <td>Path to data directory</td></tr> <tr><td><code>FINQA_MAX_STEPS</code></td> <td><code>50</code></td> <td>Maximum tool calls per episode</td></tr> <tr><td><code>FINQA_TASK</code></td> <td><code>finqa</code></td> <td>Task name</td></tr></tbody>",gl,_,El,S,nt="Rewards use fuzzy numerical matching:",kl,X,at="<li>Extracts numbers from <code>\\boxed{...}</code> format</li> <li>Handles percentages, fractions, and decimals</li> <li>1% relative tolerance or 0.01 absolute tolerance</li> <li>Returns <code>1.0</code> for correct, <code>0.0</code> for incorrect</li>",Ql,x,Gl,q,Fl,H,Zl,L,Rl,z,Vl,D,Nl,O,Wl,P,Yl,K,Mt='<li><a href="https://huggingface.co/datasets/snorkelai/agent-finance-reasoning" rel="nofollow">HuggingFace Dataset</a></li> <li><a href="https://leaderboard.snorkel.ai/category/snorkelfinance" rel="nofollow">Leaderboard</a></li>',_l,ll,Sl,sl,Xl;return w=new mt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),j=new J({props:{title:"FinQA Environment",local:"finqa-environment",headingTag:"h1"}}),u=new J({props:{title:"Overview",local:"overview",headingTag:"h2"}}),v=new J({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),$=new J({props:{title:"Using Docker",local:"using-docker",headingTag:"h3"}}),B=new tl({props:{code:"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",highlighted:`<span class="hljs-comment"># Build the image (from OpenEnv repo root)</span>
docker build -t finqa-env:latest -f envs/finqa_env/server/Dockerfile .

<span class="hljs-comment"># Run the server</span>
docker run -p 8000:8000 finqa-env:latest

<span class="hljs-comment"># To run evaluation script (example model gpt-5)</span>
API_BASE_URL=https://api.openai.com/v1 API_KEY=<span class="hljs-variable">$OPENAI_API_KEY</span> MODEL=gpt-5 python examples/finqa_inference.py`,lang:"bash",wrap:!1}}),g=new J({props:{title:"Local Development",local:"local-development",headingTag:"h3"}}),E=new tl({props:{code:"JTIzJTIwSW5zdGFsbCUyMGRlcGVuZGVuY2llcyUwQXV2JTIwcGlwJTIwaW5zdGFsbCUyMHBhbmRhcyUwQSUwQSUyMyUyMERvd25sb2FkJTIwZGF0YSUyMGZyb20lMjBIdWdnaW5nRmFjZSUwQWNkJTIwZW52cyUyRmZpbnFhX2VudiUwQS4lMkZkb3dubG9hZF9kYXRhLnNo",highlighted:`<span class="hljs-comment"># Install dependencies</span>
uv pip install pandas

<span class="hljs-comment"># Download data from HuggingFace</span>
<span class="hljs-built_in">cd</span> envs/finqa_env
./download_data.sh`,lang:"bash",wrap:!1}}),k=new J({props:{title:"Using the Client",local:"using-the-client",headingTag:"h3"}}),G=new tl({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">from</span> envs.finqa_env <span class="hljs-keyword">import</span> FinQAEnv, CallToolAction

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">main</span>():
    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> FinQAEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
        <span class="hljs-comment"># Reset to get a question</span>
        obs = <span class="hljs-keyword">await</span> env.reset()
        question = obs.metadata[<span class="hljs-string">&quot;question&quot;</span>]
        company = obs.metadata[<span class="hljs-string">&quot;company&quot;</span>]
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Question: <span class="hljs-subst">{question}</span>&quot;</span>)
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Company: <span class="hljs-subst">{company}</span>&quot;</span>)

        <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"># Use tools via call_tool (convenience method)</span>
        result = <span class="hljs-keyword">await</span> env.call_tool(<span class="hljs-string">&quot;get_descriptions&quot;</span>, company_name=company)
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Available tables: <span class="hljs-subst">{result}</span>&quot;</span>)

        <span class="hljs-comment"># Or use step() with CallToolAction for full observation access</span>
        step_result = <span class="hljs-keyword">await</span> env.step(CallToolAction(
            tool_name=<span class="hljs-string">&quot;sql_query&quot;</span>,
            arguments={
                <span class="hljs-string">&quot;company_name&quot;</span>: <span class="hljs-string">&quot;alphabet&quot;</span>,
                <span class="hljs-string">&quot;table_name&quot;</span>: <span class="hljs-string">&quot;us_gaap_ScheduleOfIncomeBeforeIncomeTaxDomesticAndForeignTableTextBlock&quot;</span>,
                <span class="hljs-string">&quot;query&quot;</span>: <span class="hljs-string">&quot;SELECT * FROM data WHERE year = &#x27;2022&#x27;&quot;</span>
            }
        ))
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Done: <span class="hljs-subst">{step_result.done}</span>, Reward: <span class="hljs-subst">{step_result.reward}</span>&quot;</span>)

        <span class="hljs-comment"># Submit answer</span>
        result = <span class="hljs-keyword">await</span> env.call_tool(<span class="hljs-string">&quot;submit_answer&quot;</span>, answer=<span class="hljs-string">&quot;6.118&quot;</span>)

asyncio.run(main())`,lang:"python",wrap:!1}}),F=new J({props:{title:"Available Tools",local:"available-tools",headingTag:"h2"}}),V=new J({props:{title:"Tool Constraints",local:"tool-constraints",headingTag:"h3"}}),W=new J({props:{title:"Environment Variables",local:"environment-variables",headingTag:"h2"}}),_=new J({props:{title:"Reward Computation",local:"reward-computation",headingTag:"h2"}}),x=new J({props:{title:"Local Development",local:"local-development",headingTag:"h2"}}),q=new tl({props:{code:"JTIzJTIwRnJvbSUyME9wZW5FbnYlMjByZXBvJTIwcm9vdCUwQWNkJTIwZW52cyUyRmZpbnFhX2VudiUwQSUwQSUyMyUyMFJ1biUyMHNlcnZlciUyMGxvY2FsbHklMEFGSU5RQV9EQVRBX1BBVEglM0QuJTJGZGF0YSUyMHV2aWNvcm4lMjBzZXJ2ZXIuYXBwJTNBYXBwJTIwLS1yZWxvYWQlMjAtLXBvcnQlMjA4MDAwJTBBJTBBJTIzJTIwVGVzdCUyMHdpdGglMjBjdXJsJTBBY3VybCUyMGh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTJGaGVhbHRoJTBBY3VybCUyMC1YJTIwUE9TVCUyMGh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTJGcmVzZXQ=",highlighted:`<span class="hljs-comment"># From OpenEnv repo root</span>
<span class="hljs-built_in">cd</span> envs/finqa_env

<span class="hljs-comment"># Run server locally</span>
FINQA_DATA_PATH=./data uvicorn server.app:app --reload --port 8000

<span class="hljs-comment"># Test with curl</span>
curl http://localhost:8000/health
curl -X POST http://localhost:8000/reset`,lang:"bash",wrap:!1}}),H=new J({props:{title:"Integration with RL Frameworks",local:"integration-with-rl-frameworks",headingTag:"h2"}}),L=new J({props:{title:"TRL (GRPO)",local:"trl-grpo",headingTag:"h3"}}),z=new tl({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">from</span> trl <span class="hljs-keyword">import</span> GRPOTrainer
<span class="hljs-keyword">from</span> envs.finqa_env <span class="hljs-keyword">import</span> FinQAEnv

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">rollout_func</span>(<span class="hljs-params">prompts, trainer</span>):
    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> FinQAEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
        obs = <span class="hljs-keyword">await</span> env.reset()
        <span class="hljs-comment"># Your agent logic here using await env.call_tool(...)</span>
        <span class="hljs-keyword">return</span> {<span class="hljs-string">&quot;reward&quot;</span>: obs.reward, <span class="hljs-string">&quot;completion&quot;</span>: completion}

trainer = GRPOTrainer(
    model=model,
    rollout_func=rollout_func,
    ...
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├── __init__.py           <span class="hljs-comment"># Exports FinQAEnv, CallToolAction, ListToolsAction</span>
├── models.py             <span class="hljs-comment"># FinQAState and tool name constants</span>
├── client.py             <span class="hljs-comment"># MCP client (subclasses MCPToolClient)</span>
├── pyproject.toml        <span class="hljs-comment"># Dependencies</span>
├── README.md             <span class="hljs-comment"># This file</span>
├── data/                 <span class="hljs-comment"># Benchmark data (run download_data.sh)</span>
│   ├── benchmark_questions/
│   │   └── finqa.csv
│   └── input_companies/
│       └── [company folders]
├── download_data.sh      <span class="hljs-comment"># Downloads data from HuggingFace</span>
└── server/
    ├── __init__.py
    ├── finqa_environment.py  <span class="hljs-comment"># MCPEnvironment subclass with @mcp.tool decorators</span>
    ├── tools.py              <span class="hljs-comment"># Tool implementations</span>
    ├── rewards.py            <span class="hljs-comment"># Reward computation</span>
    ├── app.py                <span class="hljs-comment"># FastAPI server</span>
    └── Dockerfile`,lang:"",wrap:!1}}),P=new J({props:{title:"References",local:"references",headingTag:"h2"}}),ll=new 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