[docs]: add auth and small changes (#1356)

* wip

* m

* nit
This commit is contained in:
Isaac Francisco
2024-08-15 18:25:53 +00:00
committed by GitHub
parent 388a9643a5
commit 64636ee978
17 changed files with 125 additions and 72 deletions
@@ -38,6 +38,46 @@ Ready!
We can now interact with the API server using the LangGraph SDK. First, we need to start our client, select our assistant (in this case a graph we called "agent", make sure to select the proper assistant you wish to test).
You can either initialize by passing authentication or by setting an environment variable.
#### Initialize with authentication
=== "Python"
```python
from langgraph_sdk import get_client
# only pass the url argument to get_client() if you changed the default port when calling langgraph up
client = get_client(url=<DEPLOYMENT_URL>,api_key=<LANGCHAIN_API_KEY>)
assistant_id = "agent"
thread = await client.threads.create()
```
=== "Javascript"
```js
import { Client } from "@langchain/langgraph-sdk";
// only set the apiUrl if you changed the default port when calling langgraph up
const client = new Client({ apiUrl: <DEPLOYMENT_URL>, apiKey: <LANGCHAIN_API_KEY> });
const assistantId = "agent"
const thread = await client.threads.create();
```
=== "CURL"
```bash
curl --request POST \
--url <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json'
--header 'x-api-key: <LANGCHAIN_API_KEY>'
```
#### Initialize with environment variables
If you have a `LANGCHAIN_API_KEY` set in your environment, you do not need to explicitly pass authentication to the client
=== "Python"
```python
@@ -60,6 +100,14 @@ We can now interact with the API server using the LangGraph SDK. First, we need
const thread = await client.threads.create();
```
=== "CURL"
```bash
curl --request POST \
--url <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json'
```
Now we can invoke our graph to ensure it is working. Make sure to change the input to match the proper schema for your graph.
=== "Python"
@@ -96,4 +144,39 @@ Now we can invoke our graph to ensure it is working. Make sure to change the inp
}
```
=== "CURL"
```bash
curl --request POST \
--url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/stream \
--header 'Content-Type: application/json' \
--data "{
\"assistant_id\": \"agent\",
\"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"what's the weather in sf\"}]},
\"stream_mode\": [
\"events\"
]
}" | \
sed 's/\r$//' | \
awk '
/^event:/ {
if (data_content != "") {
print data_content "\n"
}
sub(/^event: /, "Receiving event of type: ", $0)
printf "%s...\n", $0
data_content = ""
}
/^data:/ {
sub(/^data: /, "", $0)
data_content = $0
}
END {
if (data_content != "") {
print data_content "\n"
}
}
'
```
If your graph works correctly, you should see your graph output displayed in the console. Of course, there are many more ways you might need to test your graph, for a full list of commands you can send with the SDK, see the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/) and [JS/TS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/) references.