feat: MiroFlow containerizado no docker-compose

- Dockerfile.miroflow: imagem Python 3.11 com miroflow instalado via submodule
- docker-compose.prod.yml: novo serviço `miroflow` (porta 8006, rede interna)
- MIROFLOW_HOST atualizado de host fixo (10.0.7.1) para container `miroflow`
- miroflow_service.py: passa system_prompt e initial_user_message no AgentContext

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Dockerfile.miroflow

@@ -0,0 +1,24 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Instalar MiroFlow e suas dependências direto do submodule
+COPY server/modules/miroflow/ ./server/modules/miroflow/
+RUN pip install --no-cache-dir -e ./server/modules/miroflow/
+
+# Copiar o service script
+COPY server/python/miroflow_service.py ./server/python/miroflow_service.py
+
+ENV MIROFLOW_PORT=8006
+ENV OLLAMA_BASE_URL=http://host.docker.internal:11434
+
+EXPOSE 8006
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
+  CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8006/health')" || exit 1
+
+CMD ["python", "server/python/miroflow_service.py"]

docker-compose.prod.yml

@@ -77,6 +77,9 @@ services:
       ERPNEXT_URL: ${ERPNEXT_URL:-http://erpnext:8080}
       ERPNEXT_API_KEY: ${ERPNEXT_API_KEY:-}
       ERPNEXT_API_SECRET: ${ERPNEXT_API_SECRET:-}
+      # ── MiroFlow (container) ─────────────────────────────────────────────
+      MIROFLOW_HOST: "miroflow"
+      MIROFLOW_PORT: "8006"
     healthcheck:
       test: ["CMD-SHELL", "wget -qO- http://127.0.0.1:5000/api/health || exit 1"]
       interval: 30s
@@ -201,6 +204,18 @@ services:
       - arcadia-internal
 
 
+  # ── MiroFlow (agente científico) ─────────────────────────────────────────────
+  miroflow:
+    build:
+      context: .
+      dockerfile: Dockerfile.miroflow
+    restart: always
+    environment:
+      MIROFLOW_PORT: "8006"
+      OLLAMA_BASE_URL: ${OLLAMA_BASE_URL:-http://10.0.7.1:11434}
+    networks:
+      - arcadia-internal
+
   # ── Microserviços Python ─────────────────────────────────────────────────────
   contabil:
     build:

server/python/miroflow_service.py

@@ -65,7 +65,15 @@ async def run_agent(agent_type: str, task: str) -> tuple[str, str]:
         raise ValueError(f"Agente desconhecido: {agent_type}. Use: {list(AGENT_MODELS.keys())}")
     cfg = make_agent_cfg(agent_type)
     agent = build_agent(cfg)
-    ctx = AgentContext(task_description=task)
+    ctx = AgentContext(
+        task_description=task,
+        system_prompt=(
+            "Você é um agente científico da Arcádia Suite especializado em análise de dados "
+            "empresariais. Responda em português de forma clara e objetiva. "
+            "Quando precisar de dados, explique o que analisaria e quais conclusões seriam esperadas."
+        ),
+        initial_user_message=task,
+    )
     result = await agent.run(ctx)
     text = result.get("summary", str(result)) if isinstance(result, dict) else str(result)
     return text, cfg["llm"]["model_name"]