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Dockerfile

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+FROM python:3.11-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt /app/requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . /app
+
+EXPOSE 7860
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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-# E.L.A.R.A

app.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+from environment import ElaraEnv
+from models import Action
+
+app = FastAPI(title="E.L.A.R.A.", version="0.1.0")
+env = ElaraEnv()
+
+
+class StepRequest(BaseModel):
+    action: Action
+
+
+@app.get("/health")
+def health():
+    return {"status": "ok", "project": "E.L.A.R.A."}
+
+
+@app.post("/reset")
+def reset():
+    obs = env.reset()
+    return {"observation": obs.model_dump()}
+
+
+@app.post("/step")
+def step(payload: StepRequest):
+    try:
+        observation, reward, done, info = env.step(payload.action)
+        return {
+            "observation": observation.model_dump(),
+            "reward": reward,
+            "done": done,
+            "info": info,
+        }
+    except RuntimeError as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@app.get("/state")
+def state():
+    try:
+        return env.state()
+    except RuntimeError as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@app.get("/tasks")
+def tasks():
+    return {
+        "tasks": [
+            {
+                "task_id": "easy",
+                "name": "First-touch outreach",
+                "difficulty": "easy",
+                "goal": "Choose the right channel and send a relevant first contact.",
+            },
+            {
+                "task_id": "medium",
+                "name": "Follow-up handling",
+                "difficulty": "medium",
+                "goal": "Respond correctly to lead context and request missing docs.",
+            },
+            {
+                "task_id": "hard",
+                "name": "Multi-channel orchestration",
+                "difficulty": "hard",
+                "goal": "Sequence call/email/message actions with timing and compliance.",
+            },
+        ],
+        "action_schema": {
+            "action_type": ["email", "call", "message"],
+            "target_lead_id": "string",
+            "content": "string",
+            "subject": "optional string",
+            "metadata": "optional object",
+        },
+    }
+
+
+@app.get("/grader")
+def grader():
+    if env.state_obj is None:
+        raise HTTPException(status_code=400, detail="Environment not reset.")
+    return {
+        "status": "ready",
+        "step_count": env.state_obj.step_count,
+        "done": env.state_obj.done,
+        "note": "Day 1 grader stub. Full task scoring comes next.",
+    }

openenv.yaml

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+name: elara
+version: "0.1.0"
+display_name: E.L.A.R.A.
+description: Sandboxed multi-channel sales operations environment for OpenEnv.
+tags:
+  - openenv
+  - sales
+  - crm
+  - multi-channel
+  - hackathon
+entrypoint: app:app

requirements.txt

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+fastapi>=0.104.0
+uvicorn[standard]>=0.24.0
+pydantic>=2.7.0
+requests>=2.25.0

run.py

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+from environment import ElaraEnv
+from models import Action
+
+env = ElaraEnv()
+obs = env.reset()
+print(obs.model_dump())
+
+obs, reward, done, info = env.step(
+    Action(
+        action_type="email",
+        target_lead_id="L-001",
+        subject="Requesting your documents",
+        content="Hi Arun, sharing the documents request as discussed.",
+    )
+)
+
+print(obs.model_dump())
+print(reward, done, info)