ci: trigger workflow during release

.github/workflows/release.yml

@@ -51,7 +51,7 @@ jobs:
       - name: Trigger build and push on langchain-serve
         uses: peter-evans/repository-dispatch@v2
         with:
-          token: ${{ secrets.DEEPANKAR_GITHUB_TOKEN }} # TODO: repo authors need to create a PAT and add it to secrets
+          token: ${{ secrets.SERVE_GITHUB_TOKEN }}
           repository: jina-ai/langchain-serve
           event-type: langflow-push
-          client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}' # TODO: repo authors need to store `LCSERVE_PUSH_TOKEN` in secrets
+          client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}'

README.md

@@ -50,10 +50,16 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
 
 Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
 
-Start by installing `langchain-serve` with `pip install -U langchain-serve`. Then, run:
+Start by installing `langchain-serve` with 
 
 ```bash
-langflow jcloud
+pip install -U langchain-serve
+``` 
+
+Then, run:
+
+```bash
+langflow --jcloud
 ```
 
 ```text
@@ -95,7 +101,43 @@ langflow jcloud
 
   </details>
 
-> Read more about customization, cost, and management of Langflow on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
+#### API Usage
+
+You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
+
+  <details>
+  <summary>Show API usage (with python)</summary>
+
+  ```python
+  import json
+  import requests
+
+  FLOW_PATH = "Time_traveller.json"
+
+  # HOST = 'http://localhost:7860'
+  HOST = 'https://langflow-f1ed20e309.wolf.jina.ai'
+  API_URL = f'{HOST}/predict'
+
+  def predict(message):
+      with open(FLOW_PATH, "r") as f:
+          json_data = json.load(f)
+      payload = {'exported_flow': json_data, 'message': message}
+      response = requests.post(API_URL, json=payload)
+      return response.json()
+
+
+  predict('Take me to 1920s Bangalore')
+  ```
+
+  ```json
+  {
+    "result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
+  }
+  ```
+
+  </details>
+
+> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
 
 
 ## 🎨 Creating Flows

poetry.lock

@@ -5768,9 +5768,9 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
 cffi = ["cffi (>=1.11)"]
 
 [extras]
-production = ["langchain-serve"]
+deploy = ["langchain-serve"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "a6fa5f8b36994c9b7dfa3de4979099f2e76cb534697823b49a949c661efa3fba"
+content-hash = "bca5ed5cd32c5ad8d80faf99e9d988703202dd52001d2cbadaf61968a7cdebcc"

pyproject.toml

@@ -68,7 +68,7 @@ types-pillow = "^9.5.0.2"
 
 
 [tool.poetry.extras]
-production = ["langchain-serve"]
+deploy = ["langchain-serve"]
 
 [tool.ruff]
 line-length = 120

src/backend/langflow/__main__.py

@@ -33,11 +33,15 @@ def serve(
     config: str = typer.Option("config.yaml", help="Path to the configuration file."),
     log_level: str = typer.Option("info", help="Logging level."),
     log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
+    jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
 ):
     """
     Run the Langflow server.
     """
 
+    if jcloud:
+        return serve_on_jcloud()
+
     configure(log_level=log_level, log_file=log_file)
     update_settings(config)
     app = create_app()
@@ -69,8 +73,7 @@ def serve(
         LangflowApplication(app, options).run()
 
 
-@app.command()
+def serve_on_jcloud():
-def jcloud():
     """
     Deploy Langflow server on Jina AI Cloud
     """