/api/project/{projectId}/integration/api

Authorization: Bearer {your-api-key}

from openai import OpenAI
import time

# 使用 Pathors API URL 初始化客户端
client = OpenAI(
    api_key="your-api-key",
    base_url="https://app.pathors.com/api/project/your-project-id/integration/api"
)

# 获取助手（使用项目 ID 作为助手 ID）
assistant = client.beta.assistants.retrieve(assistant_id="your-project-id")

# 一步创建线程并开始运行（推荐方式）
run = client.beta.threads.create_and_run(
    assistant_id="your-project-id",
    thread={
        "messages": [
            {
                "role": "user",
                "content": "你好，能帮我解答一个问题吗？"
            }
        ]
    }
)

# 轮询直到完成
while run.status in ["queued", "in_progress"]:
    time.sleep(1)
    run = client.beta.threads.runs.retrieve(
        thread_id=run.thread_id,
        run_id=run.id
    )
    print(f"运行状态: {run.status}")

# 完成后列出所有消息
messages = client.beta.threads.messages.list(thread_id=run.thread_id)
for msg in messages.data:
    print(f"[{msg.role}]: {msg.content[0].text.value}")

# 继续对话
client.beta.threads.messages.create(
    thread_id=run.thread_id,
    role="user",
    content="我想了解更多关于这个主题的信息。"
)

# 在同一线程上再次运行助手
new_run = client.beta.threads.runs.create(
    thread_id=run.thread_id,
    assistant_id="your-project-id"
)

# 轮询直到完成
while new_run.status in ["queued", "in_progress"]:
    time.sleep(1)
    new_run = client.beta.threads.runs.retrieve(
        thread_id=run.thread_id,
        run_id=new_run.id
    )

# 获取最新消息
updated_messages = client.beta.threads.messages.list(
    thread_id=run.thread_id,
    order="desc",
    limit=1
)
print(f"[{updated_messages.data[0].role}]: {updated_messages.data[0].content[0].text.value}")