Multiple rounds of dialogue + backend history persistence

from nexevo_ai import Nexevo
client = Nexevo()

# 1) Create a conversation (you can add metadata to associate your user ID, etc.)
conv = client.conversations.create(
    title="Technical Consulting",
    metadata={"user_id": "u_123", "topic": "kubernetes"},
)
conv_id = conv["conversation_id"]

def chat_turn(user_msg: str) -> str:
    # 2) Pull history + add new user messages
    history = client.conversations.get(conv_id)["messages"]
    messages = [
        {"role": m["role"], "content": m["content"]} for m in history
    ] + [{"role": "user", "content": user_msg}]

    # 3) Adjust LLM
    resp = client.chat.completions.create(
        model="nexevo/balanced",
        messages=messages,
    )
    assistant = resp["choices"][0]["message"]["content"]

    # 4) Persistence of two messages
    client.conversations.append_message(conv_id, role="user", content=user_msg)
    client.conversations.append_message(conv_id, role="assistant", content=assistant)
    return assistant

# Use in multiple rounds
print(chat_turn("What does kube-proxy do?"))
print(chat_turn("What about ipvs mode?")) # Automatically bring into the previous round context