interrupt 옵션을 다룹니다. 이 옵션은 이전 그래프 실행을 중단하고 더블 텍스트로 새로운 실행을 시작합니다. 이 옵션은 첫 번째 실행을 삭제하지 않고 데이터베이스에 유지하되 상태를 interrupted로 설정합니다. 아래는 interrupt 옵션을 사용하는 간단한 예제입니다.
설정
먼저 JS 및 CURL 모델 출력을 출력하기 위한 간단한 헬퍼 함수를 정의합니다 (Python을 사용하는 경우 이 단계를 건너뛸 수 있습니다):- Javascript
- CURL
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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);
}
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# 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"
}
- Python
- Javascript
- CURL
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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()
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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();
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curl --request POST \
--url <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json' \
--data '{}'
실행 생성
이제 두 개의 실행을 시작하고 두 번째 실행이 완료될 때까지 조인할 수 있습니다:- Python
- Javascript
- CURL
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# 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"])
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// 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"]);
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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
실행 결과 확인
스레드에 첫 번째 실행의 부분 데이터와 두 번째 실행의 데이터가 포함되어 있는 것을 확인할 수 있습니다.- Python
- Javascript
- CURL
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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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const state = await client.threads.getState(thread["thread_id"]);
for (const m of state['values']['messages']) {
prettyPrint(m);
}
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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
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================================ 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!
- Python
- Javascript
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print((await client.runs.get(thread["thread_id"], interrupted_run["run_id"]))["status"])
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console.log((await client.runs.get(thread['thread_id'], interruptedRun["run_id"]))["status"])
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'interrupted'
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