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docs: hide windows for desktop installation (#8707)

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24
docs/docs/Get-Started/get-started-installation.md
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@ -16,10 +16,7 @@ Langflow can be installed in multiple ways:
## Install and run Langflow Desktop ## Install and run Langflow Desktop
**Langflow Desktop** is a desktop version of Langflow that includes all the features of open source Langflow, with an additional [version management](#manage-your-version-of-langflow-desktop) feature for managing your Langflow version. **Langflow Desktop** is a desktop version of Langflow that includes all the features of open source Langflow, with an additional [version management](#manage-your-version-of-langflow-desktop) feature for managing your Langflow version. Langflow Desktop is currently available for macOS.
<Tabs groupId="os">
<TabItem value="macOS" label="macOS">
1. Navigate to [Langflow Desktop](https://www.langflow.org/desktop). 1. Navigate to [Langflow Desktop](https://www.langflow.org/desktop).
2. Click **Download Langflow**, enter your contact information, and then click **Download**. 2. Click **Download Langflow**, enter your contact information, and then click **Download**.
@ -28,25 +25,6 @@ Langflow can be installed in multiple ways:
After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart). After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart).
</TabItem>
<TabItem value="Windows" label="Windows">
1. Navigate to [Langflow Desktop](https://www.langflow.org/desktop).
2. Click **Download Langflow**, enter your contact information, and then click **Download**.
3. Open the **File Explorer**, and then navigate to **Downloads**.
4. Double-click the downloaded `.msi` file, and then use the install wizard to install Langflow Desktop.
:::important
Windows installations of Langflow Desktop require a C++ compiler that may not be present on your system. If you receive a `C++ Build Tools Required!` error, follow the on-screen prompt to install Microsoft C++ Build Tools, or [install Microsoft Visual Studio](https://visualstudio.microsoft.com/downloads/).
:::
5. When the installation completes, open the Langflow application.
After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart).
</TabItem>
</Tabs>
### Manage your version of Langflow Desktop ### Manage your version of Langflow Desktop
When a new version of Langflow is available, Langflow Desktop displays an upgrade message. When a new version of Langflow is available, Langflow Desktop displays an upgrade message.

94
docs/docs/Get-Started/get-started-quickstart.md
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@ -73,41 +73,41 @@ Langflow provides code snippets to help you get started with the Langflow API.
<Tabs groupId="Language"> <Tabs groupId="Language">
<TabItem value="Python" label="Python" default> <TabItem value="Python" label="Python" default>
```python ```python
import requests import requests
url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" # The complete API endpoint URL for this flow url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" # The complete API endpoint URL for this flow
# Request payload configuration # Request payload configuration
payload = { payload = {
"output_type": "chat", "output_type": "chat",
"input_type": "chat", "input_type": "chat",
"input_value": "hello world!" "input_value": "hello world!"
} }
# Request headers # Request headers
headers = { headers = {
"Content-Type": "application/json" "Content-Type": "application/json"
} }
try: try:
# Send API request # Send API request
response = requests.request("POST", url, json=payload, headers=headers) response = requests.request("POST", url, json=payload, headers=headers)
response.raise_for_status() # Raise exception for bad status codes response.raise_for_status() # Raise exception for bad status codes
# Print response # Print response
print(response.text) print(response.text)
except requests.exceptions.RequestException as e: except requests.exceptions.RequestException as e:
print(f"Error making API request: {e}") print(f"Error making API request: {e}")
except ValueError as e: except ValueError as e:
print(f"Error parsing response: {e}") print(f"Error parsing response: {e}")
``` ```
</TabItem> </TabItem>
<TabItem value="JavaScript" label="JavaScript"> <TabItem value="JavaScript" label="JavaScript">
```js ```js
const payload = { const payload = {
"output_type": "chat", "output_type": "chat",
@ -115,7 +115,7 @@ Langflow provides code snippets to help you get started with the Langflow API.
"input_value": "hello world!", "input_value": "hello world!",
"session_id": "user_1" "session_id": "user_1"
}; };
const options = { const options = {
method: 'POST', method: 'POST',
headers: { headers: {
@ -123,17 +123,17 @@ Langflow provides code snippets to help you get started with the Langflow API.
}, },
body: JSON.stringify(payload) body: JSON.stringify(payload)
}; };
fetch('http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID', options) fetch('http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID', options)
.then(response => response.json()) .then(response => response.json())
.then(response => console.log(response)) .then(response => console.log(response))
.catch(err => console.error(err)); .catch(err => console.error(err));
``` ```
</TabItem> </TabItem>
<TabItem value="curl" label="curl"> <TabItem value="curl" label="curl">
```text ```text
curl --request POST \ curl --request POST \
--url 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false' \ --url 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false' \
@ -143,12 +143,12 @@ Langflow provides code snippets to help you get started with the Langflow API.
"input_type": "chat", "input_type": "chat",
"input_value": "hello world!" "input_value": "hello world!"
}' }'
# A 200 response confirms the call succeeded. # A 200 response confirms the call succeeded.
``` ```
</TabItem> </TabItem>
</Tabs> </Tabs>
2. Copy the snippet, paste it in a script file, and then run the script to send the request. 2. Copy the snippet, paste it in a script file, and then run the script to send the request.
@ -339,50 +339,50 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
<Tabs groupId="Languages"> <Tabs groupId="Languages">
<TabItem value="Python" label="Python" default> <TabItem value="Python" label="Python" default>
```python ```python
import requests import requests
import json import json
url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"
def ask_agent(question): def ask_agent(question):
payload = { payload = {
"output_type": "chat", "output_type": "chat",
"input_type": "chat", "input_type": "chat",
"input_value": question, "input_value": question,
} }
headers = {"Content-Type": "application/json"} headers = {"Content-Type": "application/json"}
try: try:
response = requests.post(url, json=payload, headers=headers) response = requests.post(url, json=payload, headers=headers)
response.raise_for_status() response.raise_for_status()
# Get the response message # Get the response message
data = response.json() data = response.json()
message = data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"] message = data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"]
return message return message
except Exception as e: except Exception as e:
return f"Error: {str(e)}" return f"Error: {str(e)}"
def extract_message(data): def extract_message(data):
try: try:
return data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"] return data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"]
except (KeyError, IndexError): except (KeyError, IndexError):
return None return None
# Store the previous answer from ask_agent response # Store the previous answer from ask_agent response
previous_answer = None previous_answer = None
# the terminal chat # the terminal chat
while True: while True:
# Get user input # Get user input
print("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?')") print("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?')")
print("Type 'quit' to exit or 'compare' to see the previous answer") print("Type 'quit' to exit or 'compare' to see the previous answer")
user_question = input("Your question: ") user_question = input("Your question: ")
if user_question.lower() == 'quit': if user_question.lower() == 'quit':
break break
elif user_question.lower() == 'compare': elif user_question.lower() == 'compare':
@ -391,30 +391,30 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
else: else:
print("\nNo previous answer to compare with!") print("\nNo previous answer to compare with!")
continue continue
# Get and display the answer # Get and display the answer
result = ask_agent(user_question) result = ask_agent(user_question)
print(f"\nAgent's answer: {result}") print(f"\nAgent's answer: {result}")
# Store the answer for comparison # Store the answer for comparison
previous_answer = result previous_answer = result
``` ```
</TabItem> </TabItem>
<TabItem value="JavaScript" label="JavaScript"> <TabItem value="JavaScript" label="JavaScript">
```js ```js
const readline = require('readline'); const readline = require('readline');
const rl = readline.createInterface({ const rl = readline.createInterface({
input: process.stdin, input: process.stdin,
output: process.stdout output: process.stdout
}); });
const url = 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID'; const url = 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID';
// Store the previous answer from askAgent response // Store the previous answer from askAgent response
let previousAnswer = null; let previousAnswer = null;
// the agent flow, with question as input_value // the agent flow, with question as input_value
async function askAgent(question) { async function askAgent(question) {
const payload = { const payload = {
@ -422,7 +422,7 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
"input_type": "chat", "input_type": "chat",
"input_value": question "input_value": question
}; };
const options = { const options = {
method: 'POST', method: 'POST',
headers: { headers: {
@ -430,11 +430,11 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
}, },
body: JSON.stringify(payload) body: JSON.stringify(payload)
}; };
try { try {
const response = await fetch(url, options); const response = await fetch(url, options);
const data = await response.json(); const data = await response.json();
// Extract the message from the nested response // Extract the message from the nested response
const message = data.outputs[0].outputs[0].outputs.message.message; const message = data.outputs[0].outputs[0].outputs.message.message;
return message; return message;
@ -442,19 +442,19 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
return `Error: ${error.message}`; return `Error: ${error.message}`;
} }
} }
// the terminal chat // the terminal chat
async function startChat() { async function startChat() {
console.log("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?'"); console.log("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?'");
console.log("Type 'quit' to exit or 'compare' to see the previous answer"); console.log("Type 'quit' to exit or 'compare' to see the previous answer");
const askQuestion = () => { const askQuestion = () => {
rl.question('\nYour question: ', async (userQuestion) => { rl.question('\nYour question: ', async (userQuestion) => {
if (userQuestion.toLowerCase() === 'quit') { if (userQuestion.toLowerCase() === 'quit') {
rl.close(); rl.close();
return; return;
} }
if (userQuestion.toLowerCase() === 'compare') { if (userQuestion.toLowerCase() === 'compare') {
if (previousAnswer) { if (previousAnswer) {
console.log(`\nPrevious answer was: ${previousAnswer}`); console.log(`\nPrevious answer was: ${previousAnswer}`);
@ -464,20 +464,20 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
askQuestion(); askQuestion();
return; return;
} }
const result = await askAgent(userQuestion); const result = await askAgent(userQuestion);
console.log(`\nAgent's answer: ${result}`); console.log(`\nAgent's answer: ${result}`);
previousAnswer = result; previousAnswer = result;
askQuestion(); askQuestion();
}); });
}; };
askQuestion(); askQuestion();
} }
startChat(); startChat();
``` ```
</TabItem> </TabItem>
</Tabs> </Tabs>
@ -518,4 +518,4 @@ payload = {
## Next steps ## Next steps
* [Model Context Protocol (MCP) servers](/mcp-server) * [Model Context Protocol (MCP) servers](/mcp-server)
* [Langflow deployment overview](/deployment-overview) * [Langflow deployment overview](/deployment-overview)

4
docs/docs/Support/troubleshooting.md
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@ -34,10 +34,6 @@ If you get an API key error when running a flow, try the following:
The following issues can occur when installing Langflow. The following issues can occur when installing Langflow.
### C++ build tools required for Langflow Desktop on Windows
Microsoft Windows installations of Langflow Desktop require a C++ compiler that may not be present on your system. If you receive a `C++ Build Tools Required!` error, follow the on-screen prompt to install Microsoft C++ Build Tools, or [install Microsoft Visual Studio](https://visualstudio.microsoft.com/downloads/).
### Langflow installation freezes at pip dependency resolution ### Langflow installation freezes at pip dependency resolution
Installing Langflow OSS with `pip install langflow` slowly fails with this error message: Installing Langflow OSS with `pip install langflow` slowly fails with this error message: