Merge branch 'main' into fix/chat_input_output_minimized

docs/docs/Components/components-prompts.md

@@ -31,7 +31,7 @@ Answer the question
 {user_question}
 ```
 
-When variables are added to a prompt template, new fields are automatically created in the component. These fields can be connected to receive text input from other components to automate prompting, or to output instructions to other components. An example of prompts controlling agents behavior is available in the [sequential tasks agent starter flow](/starter-projects-sequential-agent).
+When variables are added to a prompt template, new fields are automatically created in the component. These fields can be connected to receive text input from other components to automate prompting, or to output instructions to other components. An example of prompts controlling agents behavior is available in the [sequential tasks agent starter flow](/tutorials-sequential-agent).
 
 ### Inputs
 

docs/docs/Get-Started/welcome-to-langflow.md

@@ -20,9 +20,9 @@ Langflow is an intuitive visual flow builder. This drag-and-drop interface allow
 
 Langflow can be used for a wide range of AI applications, including:
 
-* [Craft intelligent chatbots](/starter-projects-memory-chatbot)
-* [Build document analysis systems](/starter-projects-document-qa)
-* [Generate compelling content](/starter-projects-blog-writer)
+* [Craft intelligent chatbots](/tutorials-memory-chatbot)
+* [Build document analysis systems](/tutorials-document-qa)
+* [Generate compelling content](/tutorials-blog-writer)
 * [Orchestrate multi-agent applications](/starter-projects-simple-agent)
 
 ## Community and support

docs/docs/Guides/guides-chat-memory.md

@@ -15,7 +15,7 @@ In any project, as long as there are [**Chat**](/components-io) being used, memo
 To see and access this history of messages, Langflow features a component called [Message history](/components-helpers#memory-history). It retrieves previous messages and outputs them in structured format or parsed.
 
 
-To learn the basics about memory in Langflow, check out the [Memory Chatbot](/starter-projects-memory-chatbot) starter example.
+To learn the basics about memory in Langflow, check out the [Memory Chatbot](/tutorials-memory-chatbot) starter example.
 
 
 Memories can be visualized and managed directly from the **Playground**. You can edit and remove previous messages to inspect and validate the AI’s response behavior. You can remove or edit previous messages to get your models acting just right.
@@ -72,7 +72,7 @@ This example stores and retrieves chat history from an [AstraDBChatMemory](/comp
 
 ### Connect the chat memory component to an external database
 
-1. Load the [Memory Chatbot](/starter-projects-memory-chatbot) starter project.
+1. Load the [Memory Chatbot](/tutorials-memory-chatbot) starter project.
 This starter project extends the basic prompting flow to include a chat memory component.
 2. Add the [Store Message](/components-helpers#store-message) component to the flow.
 The **Store message** component stores messages in the external database.

docs/docs/Starter-Projects/starter-projects-blog-writer.md → docs/docs/Tutorials/tutorials-blog-writer.md

@@ -1,7 +1,7 @@
 ---
 title: Blog Writer
 sidebar_position: 1
-slug: /starter-projects-blog-writer
+slug: /tutorials-blog-writer
 ---
 
 Build a Blog Writer flow for a one-shot application using OpenAI.

docs/docs/Starter-Projects/starter-projects-document-qa.md → docs/docs/Tutorials/tutorials-document-qa.md

@@ -1,7 +1,7 @@
 ---
 title: Document QA
 sidebar_position: 2
-slug: /starter-projects-document-qa
+slug: /tutorials-document-qa
 ---
 
 

docs/docs/Starter-Projects/starter-projects-memory-chatbot.md → docs/docs/Tutorials/tutorials-memory-chatbot.md

@@ -1,7 +1,7 @@
 ---
 title: Memory Chatbot
 sidebar_position: 3
-slug: /starter-projects-memory-chatbot
+slug: /tutorials-memory-chatbot
 ---
 
 

docs/docs/Starter-Projects/starter-projects-sequential-agent.md → docs/docs/Tutorials/tutorials-sequential-agent.md

@@ -1,7 +1,7 @@
 ---
 title: Sequential tasks agent
 sidebar_position: 4
-slug: /starter-projects-sequential-agent
+slug: /tutorials-sequential-agent
 ---
 
 Build a **Sequential Tasks Agent** flow for a multi-agent application using multiple **Agent** components.

docs/docs/Starter-Projects/starter-projects-travel-planning-agent.md → docs/docs/Tutorials/tutorials-travel-planning-agent.md

@@ -1,7 +1,7 @@
 ---
 title: Travel planning agent
 sidebar_position: 8
-slug: /starter-projects-travel-planning-agent
+slug: /tutorials-travel-planning-agent
 ---
 
 Build a **Travel Planning Agent** flow for an agentic application using the multiple Tool-calling agents.

docs/docusaurus.config.js

@@ -39,7 +39,7 @@ const config = {
         docs: {
           routeBasePath: "/", // Serve the docs at the site's root
           sidebarPath: require.resolve("./sidebars.js"), // Use sidebars.js file
-          sidebarCollapsed: false,
+          sidebarCollapsed: true,
           beforeDefaultRemarkPlugins: [
             [
               remarkCodeHike,
@@ -107,8 +107,11 @@ const config = {
             from: "/getting-started-quickstart",
           },
           {
-            to: "/starter-projects-travel-planning-agent",
-            from: "/starter-projects-dynamic-agent/",
+            to: "/tutorials-travel-planning-agent",
+            from: [
+              "/starter-projects-dynamic-agent/",
+              "/starter-projects-travel-planning-agent",
+            ],
           },
           {
             to: "/workspace-overview",
@@ -127,6 +130,22 @@ const config = {
             to: "/configuration-global-variables",
             from: "/settings-global-variables",
           },
+          {
+            to: "/tutorials-sequential-agent",
+            from: "/starter-projects-sequential-agent",
+          },
+          {
+            to: "/tutorials-blog-writer",
+            from: "/starter-projects-blog-writer",
+          },
+          {
+            to: "/tutorials-memory-chatbot",
+            from: "/starter-projects-memory-chatbot",
+          },
+          {
+            to: "/tutorials-document-qa",
+            from: "/starter-projects-document-qa",
+          },
           {
             to: "/components-vector-stores",
             from: "/components-rag",

docs/sidebars.js

@@ -14,13 +14,19 @@ module.exports = {
       label: "Starter Projects",
       items: [
         'Starter-Projects/starter-projects-basic-prompting',
-        'Starter-Projects/starter-projects-blog-writer',
-        'Starter-Projects/starter-projects-document-qa',
-        'Starter-Projects/starter-projects-memory-chatbot',
-        'Starter-Projects/starter-projects-simple-agent',
         'Starter-Projects/starter-projects-vector-store-rag',
-        'Starter-Projects/starter-projects-sequential-agent',
-        'Starter-Projects/starter-projects-travel-planning-agent',
+        'Starter-Projects/starter-projects-simple-agent',
+      ],
+    },
+    {
+      type: "category",
+      label: "Tutorials",
+      items: [
+        'Tutorials/tutorials-blog-writer',
+        'Tutorials/tutorials-document-qa',
+        'Tutorials/tutorials-memory-chatbot',
+        'Tutorials/tutorials-sequential-agent',
+        'Tutorials/tutorials-travel-planning-agent',
       ],
     },
     {

pyproject.toml

@@ -181,7 +181,7 @@ dev-dependencies = [
     "asgi-lifespan>=2.1.0",
     "pytest-github-actions-annotate-failures>=0.2.0",
     "pytest-codspeed>=3.0.0",
-    "blockbuster>=1.5.5,<1.6",
+    "blockbuster>=1.5.7,<1.6",
     "types-aiofiles>=24.1.0.20240626",
     "codeflash>=0.8.4",
 ]

src/backend/base/langflow/alembic/env.py

@@ -1,9 +1,8 @@
 from logging.config import fileConfig
 
 from alembic import context
-from sqlalchemy import engine_from_config, pool
+from sqlalchemy import engine_from_config, pool, text
 
-from langflow.services.database.models import *
 from langflow.services.database.service import SQLModel
 
 # this is the Alembic Config object, which provides
@@ -69,6 +68,9 @@ def run_migrations_online() -> None:
         context.configure(connection=connection, target_metadata=target_metadata, render_as_batch=True)
 
         with context.begin_transaction():
+            if connection.dialect.name == "postgresql":
+                connection.execute(text("SET LOCAL lock_timeout = '60s';"))
+                connection.execute(text("SELECT pg_advisory_xact_lock(112233);"))
             context.run_migrations()
 
 

src/backend/base/langflow/services/database/models/flow/model.py

@@ -9,7 +9,12 @@
 from emoji import purely_emoji
 from fastapi import HTTPException, status
 from loguru import logger
-from pydantic import BaseModel, field_serializer, field_validator, model_validator
+from pydantic import (
+    BaseModel,
+    ValidationInfo,
+    field_serializer,
+    field_validator,
+)
 from sqlalchemy import Text, UniqueConstraint
 from sqlmodel import JSON, Column, Field, Relationship, SQLModel
 
@@ -203,16 +208,20 @@ class FlowHeader(BaseModel):
     id: UUID = Field(description="Unique identifier for the flow")
     name: str = Field(description="The name of the flow")
     folder_id: UUID | None = Field(
-        None, description="The ID of the folder containing the flow. None if not associated with a folder"
+        None,
+        description="The ID of the folder containing the flow. None if not associated with a folder",
     )
     is_component: bool | None = Field(None, description="Flag indicating whether the flow is a component")
     endpoint_name: str | None = Field(None, description="The name of the endpoint associated with this flow")
     description: str | None = Field(None, description="A description of the flow")
+    data: dict | None = Field(None, description="The data of the component, if is_component is True")
 
-    @model_validator(mode="before")
+    @field_validator("data", mode="before")
     @classmethod
-    def validate_flow_header(cls, data: dict):
-        return data
+    def validate_flow_header(cls, value: dict, info: ValidationInfo):
+        if not info.data["is_component"]:
+            return None
+        return value
 
 
 class FlowUpdate(SQLModel):

src/backend/base/pyproject.toml

@@ -24,7 +24,7 @@ ignore_missing_imports = true
 
 [tool.ruff]
 target-version = "py310"
-exclude = ["langflow/alembic"]
+exclude = ["langflow/alembic/versions"]
 line-length = 120
 
 [tool.ruff.lint]