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Reject

Reject

This guide assumes knowledge of what double-texting is, which you can learn about in the double-texting conceptual guide.

The guide covers the reject option for double texting, which rejects the new run of the graph by throwing an error and continues with the original run until completion. Below is a quick example of using the reject option.

First, we will define a quick helper function for printing out JS model outputs (you can skip this if using Python):

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);
}

Now, let's import our required packages and instantiate our client, assistant, and thread.

import httpx
from langchain_core.messages import convert_to_messages
from langgraph_sdk import get_client

client = get_client(url="whatever-your-deployment-url-is")
assistant_id = "agent"
thread = await client.threads.create()

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

const client = new Client({ apiUrl:"whatever-your-deployment-url-is" });
const assistantId = "agent";
const thread = await client.threads.create();

Now we can run a thread and try to run a second one with the "reject" option, which should fail since we have already started a run:

run = await client.runs.create(
    thread["thread_id"],
    assistant_id,
    input={"messages": [{"role": "human", "content": "what's the weather in sf?"}]},
)
try:
    await client.runs.create(
        thread["thread_id"],
        assistant_id,
        input={
            "messages": [{"role": "human", "content": "what's the weather in nyc?"}]
        },
        multitask_strategy="reject",
    )
except httpx.HTTPStatusError as e:
    print("Failed to start concurrent run", e)

const run = await client.runs.create(
  thread["thread_id"],
  assistantId,
  input={"messages": [{"role": "human", "content": "what's the weather in sf?"}]},
);

try {
  await client.runs.create(
    thread["thread_id"],
    assistantId,
    { 
      input: {"messages": [{"role": "human", "content": "what's the weather in nyc?"}]},
      multitask_strategy:"reject"
    },
  );
} catch (e) {
  console.error("Failed to start concurrent run", e);
}

Failed to start concurrent run Client error '409 Conflict' for url 'http://localhost:8123/threads/f9e7088b-8028-4e5c-88d2-9cc9a2870e50/runs' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/409

We can verify that the original thread finished executing:

# wait until the original run completes
await client.runs.join(thread["thread_id"], run["run_id"])

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

for m in convert_to_messages(state["values"]["messages"]):
    m.pretty_print()

await client.runs.join(thread["thread_id"], run["run_id"]);

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

for (const m of state["values"]["messages"]) {
  prettyPrint(m);
}

Output:

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

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

[{'id': 'toolu_01CyewEifV2Kmi7EFKHbMDr1', 'input': {'query': 'weather in san francisco'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
  tavily_search_results_json (toolu_01CyewEifV2Kmi7EFKHbMDr1)
 Call ID: toolu_01CyewEifV2Kmi7EFKHbMDr1
  Args:
    query: weather in san francisco
================================= Tool Message =================================
Name: tavily_search_results_json

[{"url": "https://www.accuweather.com/en/us/san-francisco/94103/june-weather/347629", "content": "Get the monthly weather forecast for San Francisco, CA, including daily high/low, historical averages, to help you plan ahead."}]
================================== Ai Message ==================================

According to the search results from Tavily, the current weather in San Francisco is:

The average high temperature in San Francisco in June is around 65°F (18°C), with average lows around 54°F (12°C). June tends to be one of the cooler and foggier months in San Francisco due to the marine layer of fog that often blankets the city during the summer months.

Some key points about the typical June weather in San Francisco:

- Mild temperatures with highs in the 60s F and lows in the 50s F
- Foggy mornings that often burn off to sunny afternoons
- Little to no rainfall, as June falls in the dry season
- Breezy conditions, with winds off the Pacific Ocean
- Layers are recommended for changing weather conditions

So in summary, you can expect mild, foggy mornings giving way to sunny but cool afternoons in San Francisco this time of year. The marine layer keeps temperatures moderate compared to other parts of California in June.

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