Agents quickstart

from nexevo_ai import Nexevo
client = Nexevo()

# 同步 — 阻塞等结果(任务 < 60s 推荐)
job = client.agents.run(
    task="找一个最便宜的中文 RAG embedding 模型,告诉我维度和单价",
)
print(job["result"])
# Agent 内部:
#   1. chat → tool_call list_models(kind=embedding, multilingual=True)
#   2. tool_result 返候选
#   3. chat → final_answer "BGE-m3 1024 维 $0.07/1M"

# 流式 — 实时拿步进事件
for ev in client.agents.run_stream(task="..."):
    if ev["type"] == "step":
        print(ev["step"]["type"], ev["step"].get("content") or ev["step"].get("tool_name"))
    elif ev["type"] == "done":
        print("Final:", ev["job"]["result"])