回滚选项,它会中断图表的先前运行,并使用双重消息开始新的运行。此选项与中断选项非常相似,但在这种情况下,第一次运行会从数据库中完全删除,并且无法重新启动。下面是一个使用回滚选项的快速示例。设置
首先,我们将定义一个快速辅助函数来打印 JS 和 CURL 模型输出(如果您使用 Python,可以跳过此步骤)- Javascript
- CURL
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向 AI 提问
function prettyPrint(m) {
const padded = " " + m['type'] + " ";
const sepLen = Math.floor((80 - padded.length) / 2);
const sep = "=".repeat(sepLen);
const secondSep = sep + (padded.length % 2 ? "=" : "");
console.log(`${sep}${padded}${secondSep}`);
console.log("\n\n");
console.log(m.content);
}
- Python
- Javascript
- CURL
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向 AI 提问
import asyncio
import httpx
from langchain_core.messages import convert_to_messages
from langgraph_sdk import get_client
client = get_client(url=<DEPLOYMENT_URL>)
# Using the graph deployed with the name "agent"
assistant_id = "agent"
thread = await client.threads.create()
创建运行
现在,让我们运行一个将多任务参数设置为“rollback”的线程- Python
- Javascript
- CURL
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向 AI 提问
# the first run will be rolled back
rolled_back_run = await client.runs.create(
thread["thread_id"],
assistant_id,
input={"messages": [{"role": "user", "content": "what's the weather in sf?"}]},
)
run = await client.runs.create(
thread["thread_id"],
assistant_id,
input={"messages": [{"role": "user", "content": "what's the weather in nyc?"}]},
multitask_strategy="rollback",
)
# wait until the second run completes
await client.runs.join(thread["thread_id"], run["run_id"])
查看运行结果
我们可以看到该线程只有来自第二次运行的数据- Python
- Javascript
- CURL
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向 AI 提问
state = await client.threads.get_state(thread["thread_id"])
for m in convert_to_messages(state["values"]["messages"]):
m.pretty_print()
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向 AI 提问
================================ Human Message =================================
what's the weather in nyc?
================================== Ai Message ==================================
[{'id': 'toolu_01JzPqefao1gxwajHQ3Yh3JD', 'input': {'query': 'weather in nyc'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
tavily_search_results_json (toolu_01JzPqefao1gxwajHQ3Yh3JD)
Call ID: toolu_01JzPqefao1gxwajHQ3Yh3JD
Args:
query: weather in nyc
================================= Tool Message =================================
Name: tavily_search_results_json
[{"url": "https://www.weatherapi.com/", "content": "{'location': {'name': 'New York', 'region': 'New York', 'country': 'United States of America', 'lat': 40.71, 'lon': -74.01, 'tz_id': 'America/New_York', 'localtime_epoch': 1718734479, 'localtime': '2024-06-18 14:14'}, 'current': {'last_updated_epoch': 1718733600, 'last_updated': '2024-06-18 14:00', 'temp_c': 29.4, 'temp_f': 84.9, 'is_day': 1, 'condition': {'text': 'Sunny', 'icon': '//cdn.weatherapi.com/weather/64x64/day/113.png', 'code': 1000}, 'wind_mph': 2.2, 'wind_kph': 3.6, 'wind_degree': 158, 'wind_dir': 'SSE', 'pressure_mb': 1025.0, 'pressure_in': 30.26, 'precip_mm': 0.0, 'precip_in': 0.0, 'humidity': 63, 'cloud': 0, 'feelslike_c': 31.3, 'feelslike_f': 88.3, 'windchill_c': 28.3, 'windchill_f': 82.9, 'heatindex_c': 29.6, 'heatindex_f': 85.3, 'dewpoint_c': 18.4, 'dewpoint_f': 65.2, 'vis_km': 16.0, 'vis_miles': 9.0, 'uv': 7.0, 'gust_mph': 16.5, 'gust_kph': 26.5}}"}]
================================== Ai Message ==================================
The weather API results show that the current weather in New York City is sunny with a temperature of around 85°F (29°C). The wind is light at around 2-3 mph from the south-southeast. Overall it looks like a nice sunny summer day in NYC.
- Python
- Javascript
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向 AI 提问
try:
await client.runs.get(thread["thread_id"], rolled_back_run["run_id"])
except httpx.HTTPStatusError as _:
print("Original run was correctly deleted")
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向 AI 提问
Original run was correctly deleted
以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。