中断

本指南假定您了解什么是双重文本，您可以在双重文本概念指南中了解相关信息。

本指南涵盖了双重文本的 interrupt 选项，该选项会中断图形的先前运行，并使用双重文本启动新的运行。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，用于打印出 JS 和 CURL 模型输出（如果使用 Python，则可以跳过此步骤）

JavascriptCURL

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);
}

# PLACE THIS IN A FILE CALLED pretty_print.sh
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"
}

现在，让我们导入我们需要的包并实例化我们的客户端、助手和线程。

PythonJavascriptCURL

import asyncio

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()

import { Client } from "@langchain/langgraph-sdk";

const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
// Using the graph deployed with the name "agent"
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

现在我们可以启动我们的两个运行，并加入第二个运行直到它完成

PythonJavascriptCURL

# the first run will be interrupted
interrupted_run = await client.runs.create(
    thread["thread_id"],
    assistant_id,
    input={"messages": [{"role": "user", "content": "what's the weather in sf?"}]},
)
# sleep a bit to get partial outputs from the first run
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",
)
# wait until the second run completes
await client.runs.join(thread["thread_id"], run["run_id"])

// the first run will be interrupted
let interruptedRun = await client.runs.create(
  thread["thread_id"],
  assistantId,
  { input: { messages: [{ role: "human", content: "what's the weather in sf?" }] } }
);
// sleep a bit to get partial outputs from the first run
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" 
  }
);

// wait until the second run completes
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

我们可以看到线程具有来自第一次运行的部分数据 + 来自第二次运行的数据

PythonJavascriptCURL

state = await client.threads.get_state(thread["thread_id"])

for m in convert_to_messages(state):
    m.pretty_print()

const state = await client.threads.getState(thread["thread_id"]);

for (const m of state) {
  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

输出

================================ Human Message =================================

what's the weather in sf?
================================== Ai Message ==================================

[{'id': 'toolu_01MjNtVJwEcpujRGrf3x6Pih', 'input': {'query': 'weather in san francisco'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
  tavily_search_results_json (toolu_01MjNtVJwEcpujRGrf3x6Pih)
 Call ID: toolu_01MjNtVJwEcpujRGrf3x6Pih
  Args:
    query: weather in san francisco
================================= Tool Message =================================
Name: 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 ..."}]
================================ Human Message =================================

what's the weather in nyc?
================================== Ai Message ==================================

[{'id': 'toolu_01KtE1m1ifPLQAx4fQLyZL9Q', 'input': {'query': 'weather in new york city'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
  tavily_search_results_json (toolu_01KtE1m1ifPLQAx4fQLyZL9Q)
 Call ID: toolu_01KtE1m1ifPLQAx4fQLyZL9Q
  Args:
    query: weather in new york city
================================= Tool Message =================================
Name: 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 Message ==================================

The search results provide weather forecasts and information for New York City. Based on the top result from AccuWeather, here are some key details about the weather in NYC:

- This is a monthly weather forecast for New York City for the month of June.
- It includes daily high and low temperatures to help plan ahead.
- Historical averages for June in NYC are also provided as a reference point.
- More detailed daily or hourly forecasts with precipitation chances, humidity, wind, etc. can be found by visiting the AccuWeather page.

So in summary, the search provides a convenient overview of the expected weather conditions in New York City over the next month to give you an idea of what to prepare for if traveling or making plans there. Let me know if you need any other details!

验证原始的、被中断的运行是否已中断

PythonJavascript

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"])

输出

'interrupted'