[docs]: adding js/curl tabs (#1558)

* jsifying

* x

* z

* x

* fix background run output

* reformatting

* z

* z

* z

* z

* z

* add tabs to stream debug

* default urls
This commit is contained in:
Isaac Francisco
2024-09-04 22:13:19 +00:00
committed by GitHub
parent 82c989feea
commit 1774dbb860
34 changed files with 2489 additions and 1416 deletions
+87 -21
View File
@@ -4,20 +4,44 @@ This guide assumes knowledge of what double-texting is, which you can learn abou
The guide covers the `interrupt` option for double texting, which interrupts the prior run of the graph and starts a new one with the double-text. This option does not delete the first run, but rather keeps it in the database but sets its status to `interrupted`. Below is a quick example of using the `interrupt` option.
First, we will define a quick helper function for printing out JS model outputs (you can skip this if using Python):
First, we will define a quick helper function for printing out JS and CURL model outputs (you can skip this if using Python):
```js
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}${secondSep}`);
console.log("\n\n");
console.log(m.content);
}
```
=== "Javascript"
```js
function prettyPrint(m) {
const padded = " " + m['type'] + " ";
const sepLen = Math.floor((80 - padded.length) / 2);
const sep = "=".repeat(sepLen);
const secondSep = sep + (padded.length % 2 ? "=" : "");
console.log(`${sep}${padded}${secondSep}`);
console.log("\n\n");
console.log(m.content);
}
```
=== "CURL"
```bash
# 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"
}
```
Now, let's import our required packages and instantiate our client, assistant, and thread.
@@ -30,6 +54,7 @@ Now, let's import our required packages and instantiate our client, assistant, a
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()
```
@@ -40,11 +65,20 @@ Now, let's import our required packages and instantiate our client, assistant, a
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();
```
Now we can start our two runs and join the second one until it has completed:
=== "CURL"
```bash
curl --request POST \
--url <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json'
```
Now we can start our two runs and join the second on euntil it has completed:
=== "Python"
@@ -90,6 +124,26 @@ Now we can start our two runs and join the second one until it has completed:
await client.runs.join(thread["thread_id"], run["run_id"]);
```
=== "CURL"
```bash
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
```
We can see that the thread has partial data from the first run + data from the second run
@@ -112,12 +166,24 @@ We can see that the thread has partial data from the first run + data from the s
}
```
=== "CURL"
```bash
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
```
Output:
================================ Human Message =================================
================================ Human Message =================================
what's the weather in sf?
================================== Ai Message ==================================
================================== Ai Message ==================================
[{'id': 'toolu_01MjNtVJwEcpujRGrf3x6Pih', 'input': {'query': 'weather in san francisco'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
@@ -125,14 +191,14 @@ Output:
Call ID: toolu_01MjNtVJwEcpujRGrf3x6Pih
Args:
query: weather in san francisco
================================= Tool Message =================================
================================= 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 =================================
================================ Human Message =================================
what's the weather in nyc?
================================== Ai Message ==================================
================================== Ai Message ==================================
[{'id': 'toolu_01KtE1m1ifPLQAx4fQLyZL9Q', 'input': {'query': 'weather in new york city'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
@@ -140,11 +206,11 @@ Output:
Call ID: toolu_01KtE1m1ifPLQAx4fQLyZL9Q
Args:
query: weather in new york city
================================= Tool Message =================================
================================= 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 ==================================
================================== 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: