快速开始

curl -X POST http://localhost:8080/api/v1/tasks \
  -H "Content-Type: application/json" \
  -d '{
    "query": "分析以下句子的情感：Shannon 让 AI 智能体变得简单可靠！"
  }'

{
  "task_id": "task-dev-1730000000",
  "status": "TASK_STATUS_RUNNING",
  "message": "Task submitted",
  "created_at": "2024-10-22T10:30:00Z"
}

curl http://localhost:8080/api/v1/tasks/task-dev-1730000000

{
  "task_id": "task-dev-1730000000",
  "status": "TASK_STATUS_COMPLETED",
  "response": { "result": "The sentiment is overwhelmingly positive..." },
  "error": "",
  "query": "分析以下句子的情感：Shannon 让 AI 智能体变得简单可靠！",
  "session_id": "...",
  "mode": "EXECUTION_MODE_STANDARD",
  "created_at": "2024-10-22T10:30:00Z",
  "updated_at": "2024-10-22T10:30:25Z"
}

curl -N http://localhost:8080/api/v1/stream/sse?workflow_id=task-dev-1730000000

event: LLM_PROMPT
data: {"message":"Analyzing sentiment..."}

event: WORKFLOW_COMPLETED
data: {"result":"The sentiment is positive..."}

pip install shannon-sdk

from shannon import ShannonClient

# HTTP 客户端（默认：http://localhost:8080）
client = ShannonClient()

handle = client.submit_task(
    query="分析以下句子的情感：Shannon 让 AI 智能体变得简单！"
)
print("Task submitted:", handle.task_id)

# 等待完成
final = client.wait(handle.task_id, timeout=60)
print("Result:", final.result)

# 实时流式传输事件
for event in client.stream(handle.workflow_id):
    print(f"{event.type}: {event.message}")

session_id = "my-conversation-123"

# 第一条消息
handle1 = client.submit_task(
    query="法国的首都是哪里？",
    session_id=session_id
)

# 后续消息（Shannon 记住上下文）
handle2 = client.submit_task(
    query="人口是多少？",
    session_id=session_id
)

# Shannon 知道您在询问巴黎的人口

client.submit_task(
    query="分析情感：这个产品超出了我的预期！"
)

client.submit_task(
    query="研究 2024 年量子计算的突破性进展并创建摘要"
)

client.submit_task(
    query="编写一个使用记忆化计算斐波那契数列的 Python 函数"
)

client.submit_task(
    query="比较微服务架构与单体架构的优缺点",
    context={
        "domain": "software_architecture",
        "depth": "comprehensive",
        "include_examples": True
    }
)