interrupt 选项，该选项会中断图的先前运行，并使用双重文本开始一个新的运行。此选项不会删除第一次运行，而是将其保留在数据库中，但将其状态设置为 interrupted。以下是使用 interrupt 选项的快速示例。
设置
首先，我们将定义一个快速辅助函数，用于打印 JS 和 CURL 模型输出（如果您使用 Python，可以跳过此步骤）：- 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
from langchain_core.messages import convert_to_messages
from langgraph_sdk import get_client
client = get_client(url=<DEPLOYMENT_URL>)
# 使用部署名称为 "agent" 的图
assistant_id = "agent"
thread = await client.threads.create()
import { Client } from "@langchain/langgraph-sdk";
const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
// 使用部署名称为 "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
现在我们可以开始两次运行，并等待第二次运行完成：- Python
- Javascript
- CURL
# 第一次运行将被中断
interrupted_run = await client.runs.create(
thread["thread_id"],
assistant_id,
input={"messages": [{"role": "user", "content": "what's the weather in sf?"}]},
)
# 稍等片刻以获取第一次运行的部分输出
await asyncio.sleep(2)
run = await client.runs.create(
thread["thread_id"],
assistant_id,
input={"messages": [{"role": "user", "content": "what's the weather in nyc?"}]},
multitask_strategy="interrupt",
)
# 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 interruptedRun = await client.runs.create(
thread["thread_id"],
assistantId,
{ input: { messages: [{ role: "human", content: "what's the weather in sf?" }] } }
);
// 稍等片刻以获取第一次运行的部分输出
await new Promise(resolve => setTimeout(resolve, 2000));
let run = await client.runs.create(
thread["thread_id"],
assistantId,
{
input: { messages: [{ role: "human", content: "what's the weather in nyc?" }] },
multitaskStrategy: "interrupt"
}
);
// 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?\"}]},
}" && sleep 2 && 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\": \"interrupt\"
}" && 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包含来自第一次运行的部分数据 + 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
================================ 人类消息 =================================
what's the weather in sf?
================================== AI 消息 ==================================
[{'id': 'toolu_01MjNtVJwEcpujRGrf3x6Pih', 'input': {'query': 'weather in san francisco'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
工具调用:
tavily_search_results_json (toolu_01MjNtVJwEcpujRGrf3x6Pih)
调用 ID: toolu_01MjNtVJwEcpujRGrf3x6Pih
参数:
query: weather in san francisco
================================= 工具消息 =================================
名称: tavily_search_results_json
[{"url": "https://www.wunderground.com/hourly/us/ca/san-francisco/KCASANFR2002/date/2024-6-18", "content": "High 64F. Winds W at 10 to 20 mph. A few clouds from time to time. Low 49F. Winds W at 10 to 20 mph. Temp. San Francisco Weather Forecasts. Weather Underground provides local & long-range weather ..."}]
================================ 人类消息 =================================
what's the weather in nyc?
================================== AI 消息 ==================================
[{'id': 'toolu_01KtE1m1ifPLQAx4fQLyZL9Q', 'input': {'query': 'weather in new york city'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
工具调用:
tavily_search_results_json (toolu_01KtE1m1ifPLQAx4fQLyZL9Q)
调用 ID: toolu_01KtE1m1ifPLQAx4fQLyZL9Q
参数:
query: weather in new york city
================================= 工具消息 =================================
名称: tavily_search_results_json
[{"url": "https://www.accuweather.com/en/us/new-york/10021/june-weather/349727", "content": "Get the monthly weather forecast for New York, NY, including daily high/low, historical averages, to help you plan ahead."}]
================================== AI 消息 ==================================
搜索结果提供了纽约市的天气预报和信息。根据 AccuWeather 的首要结果，以下是关于纽约市天气的一些关键细节：
* 这是纽约市六月份的月度天气预报。
* 它包括每日最高和最低温度，以帮助提前规划。
* 还提供了纽约市六月份的历史平均值作为参考点。
* 更详细的每日或每小时预报，包括降水概率、湿度、风力等，可以通过访问 AccuWeather 页面找到。
总之，搜索提供了纽约市未来一个月预期天气状况的便捷概览，让您了解如果前往那里旅行或制定计划需要准备什么。如果您需要任何其他详细信息，请告诉我！
- Python
- Javascript
print((await client.runs.get(thread["thread_id"], interrupted_run["run_id"]))["status"])
console.log((await client.runs.get(thread['thread_id'], interruptedRun["run_id"]))["status"])
'interrupted'
将这些文档连接到 Claude、VSCode 等，通过 MCP 获取实时答案。