rollback 选项，它会中断图的先前运行并使用双发消息启动一个新的运行。此选项与 interrupt 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且无法重启。以下是使用 rollback 选项的快速示例。
设置
首先，我们将定义一个快速的辅助函数，用于打印 JS 和 cURL 模型输出（如果您使用 Python，可以跳过此步）：- Javascript
- cURL
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);
}
# 将此内容放入名为 pretty_print.sh 的文件中
pretty_print() {
local type="$1"
local content="$2"
local padded=" $type "
local total_width=80
local sep_len=$(( (total_width - ${#padded}) / 2 ))
local sep=$(printf '=%.0s' $(eval "echo {1.."${sep_len}"}"))
local second_sep=$sep
if (( (total_width - ${#padded}) % 2 )); then
second_sep="${second_sep}="
fi
echo "${sep}${padded}${second_sep}"
echo
echo "$content"
}
- Python
- Javascript
- cURL
import asyncio
import httpx
from langchain_core.messages import convert_to_messages
from langgraph_sdk import get_client
client = get_client(url=<DEPLOYMENT_URL>)
# 使用名为 "agent" 的图
assistant_id = "agent"
thread = await client.threads.create()
import { Client } from "@langchain/langgraph-sdk";
const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
// 使用名为 "agent" 的图
const assistantId = "agent";
const thread = await client.threads.create();
curl --request POST \
--url <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json' \
--data '{}'
创建运行
现在，让我们将多任务参数设置为 “rollback” 来运行一个线程：- Python
- Javascript
- cURL
# 第一次运行将被回滚
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",
)
# 等待第二次运行完成
await client.runs.join(thread["thread_id"], run["run_id"])
// 第一次运行将被中断
let rolledBackRun = await client.runs.create(
thread["thread_id"],
assistantId,
{ input: { messages: [{ role: "human", content: "what's the weather in sf?" }] } }
);
let run = await client.runs.create(
thread["thread_id"],
assistant_id,
{
input: { messages: [{ role: "human", content: "what's the weather in nyc?" }] },
multitaskStrategy: "rollback"
}
);
// 等待第二次运行完成
await client.runs.join(thread["thread_id"], run["run_id"]);
curl --request POST \
--url <DEPLOY<ENT_URL>>/threads/<THREAD_ID>/runs \
--header 'Content-Type: application/json' \
--data "{
\"assistant_id\": \"agent\",
\"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"what\'s the weather in sf?\"}]},
}" && curl --request POST \
--url <DEPLOY<ENT_URL>>/threads/<THREAD_ID>/runs \
--header 'Content-Type: application/json' \
--data "{
\"assistant_id\": \"agent\",
\"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"what\'s the weather in nyc?\"}]},
\"multitask_strategy\": \"rollback\"
}" && curl --request GET \
--url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/<RUN_ID>/join
查看运行结果
我们可以看到线程中仅包含来自第二次运行的数据- Python
- Javascript
- cURL
state = await client.threads.get_state(thread["thread_id"])
for m in convert_to_messages(state["values"]["messages"]):
m.pretty_print()
const state = await client.threads.getState(thread["thread_id"]);
for (const m of state['values']['messages']) {
prettyPrint(m);
}
source pretty_print.sh && curl --request GET \
--url <DEPLOYMENT_URL>/threads/<THREAD_ID>/state | \
jq -c '.values.messages[]' | while read -r element; do
type=$(echo "$element" | jq -r '.type')
content=$(echo "$element" | jq -r '.content | if type == "array" then tostring else . end')
pretty_print "$type" "$content"
done
================================ 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'}]
工具调用:
tavily_search_results_json (toolu_01JzPqefao1gxwajHQ3Yh3JD)
调用 ID: toolu_01JzPqefao1gxwajHQ3Yh3JD
参数:
query: weather in nyc
================================= Tool Message =================================
名称: 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 ==================================
天气 API 结果显示，纽约市当前天气晴朗，气温约为 85°F (29°C)。风力较弱，大约 2-3 英里/小时，来自南南东方向。总体来看，纽约市今天是个阳光明媚的夏日。
- Python
- Javascript
try:
await client.runs.get(thread["thread_id"], rolled_back_run["run_id"])
except httpx.HTTPStatusError as _:
print("原始运行已被正确删除")
try {
await client.runs.get(thread["thread_id"], rolledBackRun["run_id"]);
} catch (e) {
console.log("原始运行已被正确删除");
}
原始运行已被正确删除
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