Split Langflow into Langflow and Langflow Base (#1562)

* Initial Restructure

* Replace import langflow for import langflow_base

* Fix dependencies

* 🔧 chore(Makefile): refactor build process to separate base and frontend builds for better organization and maintainability

* 🚀 chore(Makefile): update build_frontend command to copy frontend build to the correct directory
🔖 chore(pyproject.toml): update python and httpx dependencies versions
🔧 chore(__init__.py): update import statement for load_flow_from_json function

* 🔖 chore(pyproject.toml): update package version from 0.0.6 to 0.0.8 to reflect changes in the codebase

* 🚀 feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
🚀 feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port

* 🐛 fix(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10
✨ feat(server.ts): add new agent component LCAgentComponent to langflow_base
✨ feat(server.ts): add new model component LCModelComponent to langflow_base
✨ feat(server.ts): add new helper functions docs_to_records and records_to_text to langflow_base
✨ feat(server.ts): add new flow helper functions list_flows, load_flow, run_flow, generate_function_for_flow, get_flow_inputs, build_schema_from_inputs to langflow_base
✨ feat(server.ts): add new prompt component PromptComponent to langflow_base
✨ feat(server.ts): add new chat components ChatInput and ChatOutput to langflow_base
✨ feat(server.ts): add new model component OpenAIModelComponent to langflow_base
🚚 chore(main.py): update import path from langflow.main to langflow_base.main
🚚 chore(service.py): update import path from langflow.services.database.manager to langflow_base.services.database.manager
🚚 chore(factory.py): update import path from langflow.services to langflow_base.services
🚚 chore(service.py): update import path from langflow.services.plugins to langflow_base.services.plugins
🚚 chore(utils.py): update import path from langflow.services to langflow_base.services
🚚 chore(validate.py): update import path from langflow.field_typing to langflow_base.field_typing
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10

* Update Makefile to install backend dependencies and build langflow

* Add langflow main module and update __init__.py

* Update langflow install process to use implicit namespace

* Add langflow-base as a local dependency

* Add setup_poetry target to Makefile

* Update Poetry version and add poetry-monorepo-dependency-plugin

* Refactor code to improve performance and readability

* Update imports to custom and load

* Update content-hash in poetry.lock

---------

Co-authored-by: Matheus <jacquesmats@gmail.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>

docs/docs/examples/flow-runner.mdx

@@ -35,7 +35,7 @@ We will cover how to:
 <summary>Example Code</summary>
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 class FlowRunner(CustomComponent):
@@ -75,7 +75,7 @@ class FlowRunner(CustomComponent):
 <CH.Scrollycoding rows={20} className={""}>
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 
 
 class MyComponent(CustomComponent):
@@ -95,7 +95,7 @@ The typical structure of a Custom Component is composed of _`display_name`_ and
 ---
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 
 
 # focus
@@ -118,7 +118,7 @@ Let's start by defining our component's _`display_name`_ and _`description`_.
 ---
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 # focus
 from langchain.schema import Document
 
@@ -140,7 +140,7 @@ Second, we will import _`Document`_ from the [_langchain.schema_](https://docs.l
 ---
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 # focus
 from langchain.schema import Document
 
@@ -167,7 +167,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/
 ---
 
 ```python focus=13:14
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 
@@ -189,7 +189,7 @@ We can now start writing the _`build`_ method. Let's list available flows in "My
 ---
 
 ```python focus=15:18
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 
@@ -222,7 +222,7 @@ And retrieve a flow that matches the selected name (we'll make a dropdown input
 ---
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 
@@ -250,7 +250,7 @@ You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to cus
 ---
 
 ```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 
@@ -287,7 +287,7 @@ The content of a document can be extracted using the _`page_content`_ attribute,
 ---
 
 ```python focus=9:16
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langchain.schema import Document
 
 
@@ -365,4 +365,6 @@ Done! This is what our script and custom component looks like:
     }}
     />
 
-</div>
+</div>import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+