diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 000000000..0cafc1cde
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1 @@
+.venv/
\ No newline at end of file
diff --git a/dev.Dockerfile b/dev.Dockerfile
index 3fcc0803d..ed3631516 100644
--- a/dev.Dockerfile
+++ b/dev.Dockerfile
@@ -15,4 +15,4 @@ COPY ./ ./
 # Install dependencies
 RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
 
-CMD ["uvicorn","--factory", "langflow.main:create_app", "--host", "0.0.0.0", "--port", "5003", "--reload", "log-level", "debug"]
\ No newline at end of file
+CMD ["uvicorn", "--factory", "src.backend.langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug"]
diff --git a/docker-compose.debug.yml b/docker-compose.debug.yml
index 25cddd9f7..6a9802e38 100644
--- a/docker-compose.debug.yml
+++ b/docker-compose.debug.yml
@@ -11,7 +11,7 @@ services:
       [
         "sh",
         "-c",
-        "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload",
+        "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload",
       ]
     ports:
       - 7860:7860
diff --git a/docker-compose.yml b/docker-compose.yml
index 961cd0e33..13d39e1f3 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -9,7 +9,7 @@ services:
       - "7860:7860"
     volumes:
       - ./:/app
-    command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload"
+    command: bash -c "uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload"
 
   frontend:
     build:
diff --git a/docs/docs/components/embeddings.mdx b/docs/docs/components/embeddings.mdx
index 644d91fee..5b134f08d 100644
--- a/docs/docs/components/embeddings.mdx
+++ b/docs/docs/components/embeddings.mdx
@@ -73,3 +73,25 @@ Used to load [OpenAI’s](https://openai.com/) embedding models.
 - **request_timeout:** Used to specify the maximum amount of time, in milliseconds, to wait for a response from the OpenAI API when generating embeddings for a given text.
 
 - **tiktoken_model_name:** Used to count the number of tokens in documents to constrain them to be under a certain limit. By default, when set to None, this will be the same as the embedding model name.
+
+---
+
+### VertexAIEmbeddings
+
+Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings).
+
+:::info
+Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
+:::
+
+- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
+- **location:** The default location to use when making API calls – defaults to `us-central1`.
+- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
+- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`.
+- **project:** The default GCP project to use when making Vertex API calls.
+- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`.
+- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
+- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
+- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
+- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
+- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
\ No newline at end of file
diff --git a/docs/docs/components/llms.mdx b/docs/docs/components/llms.mdx
index ccca8fdd4..088556d2f 100644
--- a/docs/docs/components/llms.mdx
+++ b/docs/docs/components/llms.mdx
@@ -185,6 +185,28 @@ Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large lang
 Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
 :::
 
+- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
+- **location:** The default location to use when making API calls – defaults to `us-central1`.
+- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
+- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`.
+- **project:** The default GCP project to use when making Vertex API calls.
+- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`.
+- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
+- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
+- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
+- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
+- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
+
+---
+
+### ChatVertexAI
+
+Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.
+
+:::info
+Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
+:::
+
 - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
 - **location:** The default location to use when making API calls – defaults to `us-central1`.
 - **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
diff --git a/poetry.lock b/poetry.lock
index 4c0fd2a0c..77ec70668 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -165,13 +165,13 @@ tz = ["python-dateutil"]
 
 [[package]]
 name = "anthropic"
-version = "0.3.8"
+version = "0.3.9"
 description = "Client library for the anthropic API"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "anthropic-0.3.8-py3-none-any.whl", hash = "sha256:97ffe1bacc4214dc89b19f496cf2769746971e86f7c835a05aa21b76f260d279"},
-    {file = "anthropic-0.3.8.tar.gz", hash = "sha256:6651099807456c3b95b3879f5ad7d00f7e7e4f7649a2394d18032ab8be54ef16"},
+    {file = "anthropic-0.3.9-py3-none-any.whl", hash = "sha256:23e8daf266c707faa0b85328ada03dcf885e62c2f236eb0159352e29b9c4e2e3"},
+    {file = "anthropic-0.3.9.tar.gz", hash = "sha256:c19b75308c07cb1ecbea03ffcdde9ba68e5ca22a22479217712396385678bde3"},
 ]
 
 [package.dependencies]
@@ -180,7 +180,7 @@ distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
 pydantic = ">=1.9.0,<2.0.0"
 tokenizers = ">=0.13.0"
-typing-extensions = ">=4.1.1,<5"
+typing-extensions = ">=4.5,<5"
 
 [[package]]
 name = "anyio"
@@ -792,13 +792,13 @@ sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
 
 [[package]]
 name = "cohere"
-version = "4.19.3"
+version = "4.20.0"
 description = ""
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "cohere-4.19.3-py3-none-any.whl", hash = "sha256:6c98f1e58b93b6316c824385c1d2032ed352280e9efa5695ba98306258abf84f"},
-    {file = "cohere-4.19.3.tar.gz", hash = "sha256:c3aaa716c4da7d7a8ed68705fcdc92f1b1a2260b737cee6bd27af5c347f31496"},
+    {file = "cohere-4.20.0-py3-none-any.whl", hash = "sha256:bebe4b1d21da0719aaa7db2cc180b5f3d0a802c19ad2d893d627971286e50497"},
+    {file = "cohere-4.20.0.tar.gz", hash = "sha256:a16e86981945c201bab67ad6d47e57f42a37bf2a774f6ac6b8b12233aae6409a"},
 ]
 
 [package.dependencies]
@@ -858,71 +858,63 @@ typing = ["mypy (>=0.990)"]
 
 [[package]]
 name = "coverage"
-version = "7.2.7"
+version = "7.3.0"
 description = "Code coverage measurement for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -978,13 +970,13 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
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-version = "0.2.21"
+version = "0.2.22"
 description = "Python bindings for the Transformer models implemented in C/C++ using GGML library."
 optional = true
 python-versions = "*"
 files = [
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 [package.dependencies]
@@ -1309,13 +1301,13 @@ files = [
 
 [[package]]
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 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -1697,13 +1689,13 @@ six = "*"
 
 [[package]]
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+version = "1.30.1"
 description = "Vertex AI API client library"
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 ]
 
 [package.dependencies]
@@ -2987,17 +2979,17 @@ test = ["psutil", "pytest", "pytest-asyncio"]
 
 [[package]]
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+version = "0.0.22"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
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 ]
 
 [package.dependencies]
-pydantic = ">=1,<2"
+pydantic = ">=1,<3"
 requests = ">=2,<3"
 
 [[package]]
@@ -3400,13 +3392,13 @@ files = [
 
 [[package]]
 name = "metaphor-python"
-version = "0.1.12"
+version = "0.1.14"
 description = "A Python package for the Metaphor API."
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 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -4281,17 +4273,17 @@ xml = ["lxml (>=4.6.3)"]
 
 [[package]]
 name = "pandas-stubs"
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+version = "2.0.3.230814"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+numpy = {version = ">=1.25.0", markers = "python_version >= \"3.9\""}
 types-pytz = ">=2022.1.1"
 
 [[package]]
@@ -5193,13 +5185,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "3.15.0"
+version = "3.15.1"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -6508,13 +6500,13 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "tenacity"
-version = "8.2.2"
+version = "8.2.3"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "tenacity-8.2.2-py3-none-any.whl", hash = "sha256:2f277afb21b851637e8f52e6a613ff08734c347dc19ade928e519d7d2d8569b0"},
-    {file = "tenacity-8.2.2.tar.gz", hash = "sha256:43af037822bd0029025877f3b2d97cc4d7bb0c2991000a3d59d71517c5c969e0"},
+    {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
+    {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
 ]
 
 [package.extras]
@@ -6960,13 +6952,13 @@ files = [
 
 [[package]]
 name = "types-pytz"
-version = "2023.3.0.0"
+version = "2023.3.0.1"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-pytz-2023.3.0.0.tar.gz", hash = "sha256:ecdc70d543aaf3616a7e48631543a884f74205f284cefd6649ddf44c6a820aac"},
-    {file = "types_pytz-2023.3.0.0-py3-none-any.whl", hash = "sha256:4fc2a7fbbc315f0b6630e0b899fd6c743705abe1094d007b0e612d10da15e0f3"},
+    {file = "types-pytz-2023.3.0.1.tar.gz", hash = "sha256:1a7b8d4aac70981cfa24478a41eadfcd96a087c986d6f150d77e3ceb3c2bdfab"},
+    {file = "types_pytz-2023.3.0.1-py3-none-any.whl", hash = "sha256:65152e872137926bb67a8fe6cc9cfd794365df86650c5d5fdc7b167b0f38892e"},
 ]
 
 [[package]]
@@ -7701,4 +7693,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.11"
-content-hash = "18156a4c5ecf05bf430bf2a00da1771c6e16e6408cfb05fe36fc3ff0ad29e213"
+content-hash = "0f7d3f932eb130e7f3b6d234fc36e403ef409d63cfc825ba9f4c470203425ad2"
diff --git a/pyproject.toml b/pyproject.toml
index a3b7f9a28..b9d514546 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,7 +45,7 @@ unstructured = "^0.7.0"
 pypdf = "^3.11.0"
 lxml = "^4.9.2"
 pysrt = "^1.1.2"
-fake-useragent = "^1.1.3"
+fake-useragent = "^1.2.1"
 docstring-parser = "^0.15"
 psycopg2-binary = "^2.9.6"
 pyarrow = "^12.0.0"
diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile
index 13f2dc62e..8257d89b0 100644
--- a/src/backend/Dockerfile
+++ b/src/backend/Dockerfile
@@ -11,4 +11,4 @@ RUN rm *.whl
 
 EXPOSE 80
 
-CMD [ "uvicorn", "--host", "0.0.0.0", "--port", "80", "langflow.backend.app:app" ]
+CMD [ "uvicorn", "--host", "0.0.0.0", "--port", "7860", "--factory", "langflow.main:create_app" ]
diff --git a/src/backend/langflow/auth/auth.py b/src/backend/langflow/auth/auth.py
index 5c2bf7343..b9e8dba3a 100644
--- a/src/backend/langflow/auth/auth.py
+++ b/src/backend/langflow/auth/auth.py
@@ -7,6 +7,8 @@ from fastapi.security import OAuth2PasswordBearer
 from fastapi import Depends, HTTPException, status
 from datetime import datetime, timedelta, timezone
 
+from langflow.services.utils import get_settings_manager
+
 from langflow.services.utils import get_session
 from langflow.database.models.user import (
     User,
@@ -16,12 +18,6 @@ from langflow.database.models.user import (
 )
 
 
-# TODO: Move to env - JUST FOR TEST!!!!!
-SECRET_KEY = "698619adad2d916f1f32d264540976964b3c0d3828e0870a65add5800a8cc6b9"
-ALGORITHM = "HS256"
-ACCESS_TOKEN_EXPIRE_MINUTES = 60
-REFRESH_TOKEN_EXPIRE_MINUTES = 70
-
 pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login")
 
@@ -29,6 +25,8 @@ oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login")
 async def get_current_user(
     token: Annotated[str, Depends(oauth2_scheme)], db: Session = Depends(get_session)
 ) -> User:
+    settings_manager = get_settings_manager()
+
     credentials_exception = HTTPException(
         status_code=status.HTTP_401_UNAUTHORIZED,
         detail="Could not validate credentials",
@@ -36,7 +34,11 @@ async def get_current_user(
     )
 
     try:
-        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
+        payload = jwt.decode(
+            token,
+            settings_manager.settings.SECRET_KEY,
+            algorithms=[settings_manager.settings.ALGORITHM],
+        )
         user_id: UUID = payload.get("sub")  # type: ignore
         token_type: str = payload.get("type")  # type: ignore
 
@@ -68,29 +70,63 @@ def get_password_hash(password):
 
 
 def create_token(data: dict, expires_delta: timedelta):
-    to_encode = data.copy()
+    settings_manager = get_settings_manager()
 
+    to_encode = data.copy()
     expire = datetime.now(timezone.utc) + expires_delta
     to_encode["exp"] = expire
 
-    return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
+    return jwt.encode(
+        to_encode,
+        settings_manager.settings.SECRET_KEY,
+        algorithm=settings_manager.settings.ALGORITHM,
+    )
 
 
-def create_user_tokens(user_id: UUID, db: Session = Depends(get_session)) -> dict:
-    access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
+def create_user_longterm_token(
+    user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False
+) -> dict:
+    access_token_expires_longterm = timedelta(days=365)
+    access_token = create_token(
+        data={"sub": str(user_id)},
+        expires_delta=access_token_expires_longterm,
+    )
+
+    # Update: last_login_at
+    if update_last_login:
+        update_user_last_login_at(user_id, db)
+
+    return {
+        "access_token": access_token,
+        "refresh_token": None,
+        "token_type": "bearer",
+    }
+
+
+def create_user_tokens(
+    user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False
+) -> dict:
+    settings_manager = get_settings_manager()
+
+    access_token_expires = timedelta(
+        minutes=settings_manager.settings.ACCESS_TOKEN_EXPIRE_MINUTES
+    )
     access_token = create_token(
         data={"sub": str(user_id)},
         expires_delta=access_token_expires,
     )
 
-    refresh_token_expires = timedelta(minutes=REFRESH_TOKEN_EXPIRE_MINUTES)
+    refresh_token_expires = timedelta(
+        minutes=settings_manager.settings.REFRESH_TOKEN_EXPIRE_MINUTES
+    )
     refresh_token = create_token(
         data={"sub": str(user_id), "type": "rf"},
         expires_delta=refresh_token_expires,
     )
 
     # Update: last_login_at
-    update_user_last_login_at(user_id, db)
+    if update_last_login:
+        update_user_last_login_at(user_id, db)
 
     return {
         "access_token": access_token,
@@ -99,9 +135,15 @@ def create_user_tokens(user_id: UUID, db: Session = Depends(get_session)) -> dic
     }
 
 
-def create_refresh_token(refresh_token: str):
+def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)):
+    settings_manager = get_settings_manager()
+
     try:
-        payload = jwt.decode(refresh_token, SECRET_KEY, algorithms=[ALGORITHM])
+        payload = jwt.decode(
+            refresh_token,
+            settings_manager.settings.SECRET_KEY,
+            algorithms=[settings_manager.settings.ALGORITHM],
+        )
         user_id: UUID = payload.get("sub")  # type: ignore
         token_type: str = payload.get("type")  # type: ignore
 
@@ -110,7 +152,7 @@ def create_refresh_token(refresh_token: str):
                 status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token"
             )
 
-        return create_user_tokens(user_id)
+        return create_user_tokens(user_id, db)
 
     except JWTError as e:
         raise HTTPException(
diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml
index 63e8cdf99..d25893c25 100644
--- a/src/backend/langflow/config.yaml
+++ b/src/backend/langflow/config.yaml
@@ -104,6 +104,8 @@ embeddings:
     documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
   CohereEmbeddings:
     documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
+  VertexAIEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm"
 llms:
   OpenAI:
     documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
@@ -127,8 +129,8 @@ llms:
   # There's a bug in this component deactivating until we get it sorted: _language_models.py", line 804, in send_message
   #     is_blocked=safety_attributes.get("blocked", False),
   # AttributeError: 'list' object has no attribute 'get'
-  # ChatVertexAI:
-  #   documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm"
+  ChatVertexAI:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm"
   ###
 memories:
   # https://github.com/supabase-community/supabase-py/issues/482
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py
index dc8188ea5..c315a9577 100644
--- a/src/backend/langflow/interface/initialize/loading.py
+++ b/src/backend/langflow/interface/initialize/loading.py
@@ -88,7 +88,7 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
     elif base_type == "toolkits":
         return instantiate_toolkit(node_type, class_object, params)
     elif base_type == "embeddings":
-        return instantiate_embedding(class_object, params)
+        return instantiate_embedding(node_type, class_object, params)
     elif base_type == "vectorstores":
         return instantiate_vectorstore(class_object, params)
     elif base_type == "documentloaders":
@@ -147,7 +147,7 @@ def instantiate_llm(node_type, class_object, params: Dict):
     # This is a workaround so JinaChat works until streaming is implemented
     # if "openai_api_base" in params and "jina" in params["openai_api_base"]:
     # False if condition is True
-    if node_type == "VertexAI":
+    if "VertexAI" in node_type:
         return initialize_vertexai(class_object=class_object, params=params)
     # max_tokens sometimes is a string and should be an int
     if "max_tokens" in params:
@@ -261,9 +261,13 @@ def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict
     return loaded_toolkit
 
 
-def instantiate_embedding(class_object, params: Dict):
+def instantiate_embedding(node_type, class_object, params: Dict):
     params.pop("model", None)
     params.pop("headers", None)
+
+    if "VertexAI" in node_type:
+        return initialize_vertexai(class_object=class_object, params=params)
+
     try:
         return class_object(**params)
     except ValidationError:
diff --git a/src/backend/langflow/routers/login.py b/src/backend/langflow/routers/login.py
index c7a2c05c4..7d114473d 100644
--- a/src/backend/langflow/routers/login.py
+++ b/src/backend/langflow/routers/login.py
@@ -1,3 +1,4 @@
+from uuid import UUID
 from sqlalchemy.orm import Session
 from fastapi import APIRouter, Depends, HTTPException, status
 from fastapi.security import OAuth2PasswordRequestForm
@@ -8,8 +9,11 @@ from langflow.auth.auth import (
     authenticate_user,
     create_user_tokens,
     create_refresh_token,
+    create_user_longterm_token,
 )
 
+from langflow.services.utils import get_settings_manager
+
 router = APIRouter()
 
 
@@ -20,7 +24,7 @@ async def login_to_get_access_token(
     # _: Session = Depends(get_current_active_user)
 ):
     if user := authenticate_user(form_data.username, form_data.password, db):
-        return create_user_tokens(user_id=user.id, db=db)
+        return create_user_tokens(user_id=user.id, db=db, update_last_login=True)
     else:
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED,
@@ -29,6 +33,23 @@ async def login_to_get_access_token(
         )
 
 
+@router.get("/auto_login")
+async def auto_login(db: Session = Depends(get_session)):
+    settings_manager = get_settings_manager()
+
+    if settings_manager.settings.AUTO_LOGIN:
+        user_id = UUID("3fa85f64-5717-4562-b3fc-2c963f66afa6")
+        return create_user_longterm_token(user_id, db)
+
+    raise HTTPException(
+        status_code=status.HTTP_400_BAD_REQUEST,
+        detail={
+            "message": "Auto login is disabled. Please enable it in the settings",
+            "auto_login": False,
+        },
+    )
+
+
 @router.post("/refresh")
 async def refresh_token(token: str):
     if token:
diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py
index 1eb2793b3..d8b3f3ad6 100644
--- a/src/backend/langflow/services/settings/base.py
+++ b/src/backend/langflow/services/settings/base.py
@@ -1,6 +1,7 @@
 import contextlib
 import json
 import os
+import secrets
 from typing import Optional, List
 from pathlib import Path
 
@@ -35,6 +36,15 @@ class Settings(BaseSettings):
     REMOVE_API_KEYS: bool = False
     COMPONENTS_PATH: List[str] = []
 
+    # Login settings
+    SECRET_KEY: str = secrets.token_hex(32)
+    ALGORITHM: str = "HS256"
+    ACCESS_TOKEN_EXPIRE_MINUTES: int = 60
+    REFRESH_TOKEN_EXPIRE_MINUTES: int = 70
+    # If AUTO_LOGIN = True
+    # > The application does not request login and logs in automatically as a super user.
+    AUTO_LOGIN: bool = True
+
     @validator("DATABASE_URL", pre=True)
     def set_database_url(cls, value):
         if not value:
diff --git a/src/backend/langflow/services/settings/settings.py b/src/backend/langflow/services/settings/settings.py
deleted file mode 100644
index 439b3a1e4..000000000
--- a/src/backend/langflow/services/settings/settings.py
+++ /dev/null
@@ -1,171 +0,0 @@
-import contextlib
-import json
-import os
-from typing import Optional, List
-from pathlib import Path
-
-import yaml
-from pydantic import BaseSettings, root_validator, validator
-from langflow.utils.logger import logger
-
-BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
-
-
-class Settings(BaseSettings):
-    CHAINS: dict = {}
-    AGENTS: dict = {}
-    PROMPTS: dict = {}
-    LLMS: dict = {}
-    TOOLS: dict = {}
-    MEMORIES: dict = {}
-    EMBEDDINGS: dict = {}
-    VECTORSTORES: dict = {}
-    DOCUMENTLOADERS: dict = {}
-    WRAPPERS: dict = {}
-    RETRIEVERS: dict = {}
-    TOOLKITS: dict = {}
-    TEXTSPLITTERS: dict = {}
-    UTILITIES: dict = {}
-    OUTPUT_PARSERS: dict = {}
-    CUSTOM_COMPONENTS: dict = {}
-
-    DEV: bool = False
-    DATABASE_URL: Optional[str] = None
-    CACHE: str = "InMemoryCache"
-    REMOVE_API_KEYS: bool = False
-    COMPONENTS_PATH: List[str] = []
-
-    @validator("DATABASE_URL", pre=True)
-    def set_database_url(cls, value):
-        if not value:
-            logger.debug(
-                "No database_url provided, trying LANGFLOW_DATABASE_URL env variable"
-            )
-            if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
-                value = langflow_database_url
-                logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
-            else:
-                logger.debug("No DATABASE_URL env variable, using sqlite database")
-                value = "sqlite:///./langflow.db"
-
-        return value
-
-    @validator("COMPONENTS_PATH", pre=True)
-    def set_components_path(cls, value):
-        if os.getenv("LANGFLOW_COMPONENTS_PATH"):
-            logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
-            langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
-            if (
-                Path(langflow_component_path).exists()
-                and langflow_component_path not in value
-            ):
-                if isinstance(langflow_component_path, list):
-                    for path in langflow_component_path:
-                        if path not in value:
-                            value.append(path)
-                    logger.debug(
-                        f"Extending {langflow_component_path} to components_path"
-                    )
-                elif langflow_component_path not in value:
-                    value.append(langflow_component_path)
-                    logger.debug(
-                        f"Appending {langflow_component_path} to components_path"
-                    )
-
-        if not value:
-            value = [BASE_COMPONENTS_PATH]
-            logger.debug("Setting default components path to components_path")
-        elif BASE_COMPONENTS_PATH not in value:
-            value.append(BASE_COMPONENTS_PATH)
-            logger.debug("Adding default components path to components_path")
-
-        logger.debug(f"Components path: {value}")
-        return value
-
-    class Config:
-        validate_assignment = True
-        extra = "ignore"
-        env_prefix = "LANGFLOW_"
-
-    @root_validator(allow_reuse=True)
-    def validate_lists(cls, values):
-        for key, value in values.items():
-            if key != "dev" and not value:
-                values[key] = []
-        return values
-
-    def update_from_yaml(self, file_path: str, dev: bool = False):
-        new_settings = load_settings_from_yaml(file_path)
-        self.CHAINS = new_settings.CHAINS or {}
-        self.AGENTS = new_settings.AGENTS or {}
-        self.PROMPTS = new_settings.PROMPTS or {}
-        self.LLMS = new_settings.LLMS or {}
-        self.TOOLS = new_settings.TOOLS or {}
-        self.MEMORIES = new_settings.MEMORIES or {}
-        self.WRAPPERS = new_settings.WRAPPERS or {}
-        self.TOOLKITS = new_settings.TOOLKITS or {}
-        self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {}
-        self.UTILITIES = new_settings.UTILITIES or {}
-        self.EMBEDDINGS = new_settings.EMBEDDINGS or {}
-        self.VECTORSTORES = new_settings.VECTORSTORES or {}
-        self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
-        self.RETRIEVERS = new_settings.RETRIEVERS or {}
-        self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
-        self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
-        self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
-        self.DEV = dev
-
-    def update_settings(self, **kwargs):
-        logger.debug("Updating settings")
-        for key, value in kwargs.items():
-            # value may contain sensitive information, so we don't want to log it
-            if not hasattr(self, key):
-                logger.debug(f"Key {key} not found in settings")
-                continue
-            logger.debug(f"Updating {key}")
-            if isinstance(getattr(self, key), list):
-                # value might be a '[something]' string
-                with contextlib.suppress(json.decoder.JSONDecodeError):
-                    value = json.loads(str(value))
-                if isinstance(value, list):
-                    for item in value:
-                        if item not in getattr(self, key):
-                            getattr(self, key).append(item)
-                    logger.debug(f"Extended {key}")
-                else:
-                    getattr(self, key).append(value)
-                    logger.debug(f"Appended {key}")
-
-            else:
-                setattr(self, key, value)
-                logger.debug(f"Updated {key}")
-            logger.debug(f"{key}: {getattr(self, key)}")
-
-
-def save_settings_to_yaml(settings: Settings, file_path: str):
-    with open(file_path, "w") as f:
-        settings_dict = settings.dict()
-        yaml.dump(settings_dict, f)
-
-
-def load_settings_from_yaml(file_path: str) -> Settings:
-    # Check if a string is a valid path or a file name
-    if "/" not in file_path:
-        # Get current path
-        current_path = os.path.dirname(os.path.abspath(__file__))
-
-        file_path = os.path.join(current_path, file_path)
-
-    with open(file_path, "r") as f:
-        settings_dict = yaml.safe_load(f)
-        settings_dict = {k.upper(): v for k, v in settings_dict.items()}
-
-        for key in settings_dict:
-            if key not in Settings.__fields__.keys():
-                raise KeyError(f"Key {key} not found in settings")
-            logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
-
-    return Settings(**settings_dict)
-
-
-settings = load_settings_from_yaml("config.yaml")
diff --git a/src/backend/langflow/template/frontend_node/embeddings.py b/src/backend/langflow/template/frontend_node/embeddings.py
index d466b11a4..4e7e25112 100644
--- a/src/backend/langflow/template/frontend_node/embeddings.py
+++ b/src/backend/langflow/template/frontend_node/embeddings.py
@@ -5,6 +5,47 @@ from langflow.template.frontend_node.base import FrontendNode
 
 
 class EmbeddingFrontendNode(FrontendNode):
+    def add_extra_fields(self) -> None:
+        if "VertexAI" in self.template.type_name:
+            # Add credentials field which should of type file.
+            self.template.add_field(
+                TemplateField(
+                    field_type="file",
+                    required=False,
+                    show=True,
+                    name="credentials",
+                    value="",
+                    suffixes=[".json"],
+                    file_types=["json"],
+                )
+            )
+
+    @staticmethod
+    def format_vertex_field(field: TemplateField, name: str):
+        if "VertexAI" in name:
+            advanced_fields = [
+                "verbose",
+                "top_p",
+                "top_k",
+                "max_output_tokens",
+            ]
+            if field.name in advanced_fields:
+                field.advanced = True
+            show_fields = [
+                "verbose",
+                "project",
+                "location",
+                "credentials",
+                "max_output_tokens",
+                "model_name",
+                "temperature",
+                "top_p",
+                "top_k",
+            ]
+
+            if field.name in show_fields:
+                field.show = True
+
     @staticmethod
     def format_jina_fields(field: TemplateField):
         if "jina" in field.name:
@@ -41,10 +82,36 @@ class EmbeddingFrontendNode(FrontendNode):
     @staticmethod
     def format_field(field: TemplateField, name: Optional[str] = None) -> None:
         FrontendNode.format_field(field, name)
+        if name and "vertex" in name.lower():
+            EmbeddingFrontendNode.format_vertex_field(field, name)
         field.advanced = not field.required
         field.show = True
         if field.name == "headers":
             field.show = False
+        if field.name == "model_kwargs":
+            field.field_type = "code"
+            field.advanced = True
+            field.show = True
+        elif field.name in [
+            "model_name",
+            "temperature",
+            "model_file",
+            "model_type",
+            "deployment_name",
+            "credentials",
+        ]:
+            field.advanced = False
+            field.show = True
+        if field.name == "credentials":
+            field.field_type = "file"
+        if name == "VertexAI" and field.name not in [
+            "callbacks",
+            "client",
+            "stop",
+            "tags",
+            "cache",
+        ]:
+            field.show = True
 
         # Format Jina fields
         EmbeddingFrontendNode.format_jina_fields(field)
diff --git a/src/frontend/src/modals/ApiModal/index.tsx b/src/frontend/src/modals/ApiModal/index.tsx
index 307e48208..5bd93df45 100644
--- a/src/frontend/src/modals/ApiModal/index.tsx
+++ b/src/frontend/src/modals/ApiModal/index.tsx
@@ -22,6 +22,7 @@ import {
   getPythonApiCode,
   getPythonCode,
   getWidgetCode,
+  tabsArray,
 } from "../../utils/utils";
 import BaseModal from "../baseModal";
 
@@ -48,39 +49,14 @@ const ApiModal = forwardRef(
     const pythonCode = getPythonCode(flow, tweak.current, tabsState);
     const widgetCode = getWidgetCode(flow, tabsState);
     const tweaksCode = buildTweaks(flow);
-    const [tabs, setTabs] = useState([
-      {
-        name: "cURL",
-        mode: "bash",
-        image: "https://curl.se/logo/curl-symbol-transparent.png",
-        language: "sh",
-        code: curl_code,
-      },
-      {
-        name: "Python API",
-        mode: "python",
-        image:
-          "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-        language: "py",
-        code: pythonApiCode,
-      },
-      {
-        name: "Python Code",
-        mode: "python",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: pythonCode,
-      },
-      {
-        name: "Chat Widget HTML",
-        description:
-          "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
-        mode: "html",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: widgetCode,
-      },
-    ]);
+    const codesArray = [
+      curl_code,
+      pythonApiCode,
+      pythonCode,
+      widgetCode,
+      pythonCode,
+    ];
+    const [tabs, setTabs] = useState(tabsArray(codesArray, 0));
 
     function startState() {
       tweak.current = [];
@@ -101,80 +77,9 @@ const ApiModal = forwardRef(
 
       if (Object.keys(tweaksCode).length > 0) {
         setActiveTab("0");
-        setTabs([
-          {
-            name: "cURL",
-            mode: "bash",
-            image: "https://curl.se/logo/curl-symbol-transparent.png",
-            language: "sh",
-            code: curl_code,
-          },
-          {
-            name: "Python API",
-            mode: "python",
-            image:
-              "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-            language: "py",
-            code: pythonApiCode,
-          },
-          {
-            name: "Python Code",
-            mode: "python",
-            language: "py",
-            image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-            code: pythonCode,
-          },
-          {
-            name: "Chat Widget HTML",
-            description:
-              "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
-            mode: "html",
-            image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-            language: "py",
-            code: widgetCode,
-          },
-          {
-            name: "Tweaks",
-            mode: "python",
-            image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-            language: "py",
-            code: pythonCode,
-          },
-        ]);
+        setTabs(tabsArray(codesArray, 1));
       } else {
-        setTabs([
-          {
-            name: "cURL",
-            mode: "bash",
-            image: "https://curl.se/logo/curl-symbol-transparent.png",
-            language: "sh",
-            code: curl_code,
-          },
-          {
-            name: "Python API",
-            mode: "python",
-            image:
-              "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-            language: "py",
-            code: pythonApiCode,
-          },
-          {
-            name: "Python Code",
-            mode: "python",
-            image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-            language: "py",
-            code: pythonCode,
-          },
-          {
-            name: "Chat Widget HTML",
-            description:
-              "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
-            mode: "html",
-            image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-            language: "py",
-            code: widgetCode,
-          },
-        ]);
+        setTabs(tabsArray(codesArray, 1));
       }
     }, [flow["data"]["nodes"], open]);
 
diff --git a/src/frontend/src/modals/formModal/index.tsx b/src/frontend/src/modals/formModal/index.tsx
index 6dd426045..0e2f9b3c4 100644
--- a/src/frontend/src/modals/formModal/index.tsx
+++ b/src/frontend/src/modals/formModal/index.tsx
@@ -160,7 +160,8 @@ export default function FormModal({
   }
 
   function getWebSocketUrl(chatId, isDevelopment = false) {
-    const isSecureProtocol = window.location.protocol === "https:";
+    const isSecureProtocol =
+      window.location.protocol === "https:" || window.location.port === "443";
     const webSocketProtocol = isSecureProtocol ? "wss" : "ws";
     const host = isDevelopment ? "localhost:7860" : window.location.host;
     const chatEndpoint = `/api/v1/chat/${chatId}`;
diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts
index 8ae5742a3..ccb30ace0 100644
--- a/src/frontend/src/utils/styleUtils.ts
+++ b/src/frontend/src/utils/styleUtils.ts
@@ -213,6 +213,7 @@ export const nodeIconsLucide = {
   SupabaseVectorStore: SupabaseIcon,
   VertexAI: VertexAIIcon,
   ChatVertexAI: VertexAIIcon,
+  VertexAIEmbeddings: VertexAIIcon,
   agents: Rocket,
   WikipediaAPIWrapper: SvgWikipedia,
   chains: Link,
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index dec07fbe7..ea1c137b0 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -410,3 +410,82 @@ chat_input_field: Input key that you want the chat to send the user message with
   }host_url="http://localhost:7860"
 ></langflow-chat>`;
 }
+
+export function tabsArray(codes: string[], method: number) {
+  if (!method) return;
+  if (method === 0) {
+    return [
+      {
+        name: "cURL",
+        mode: "bash",
+        image: "https://curl.se/logo/curl-symbol-transparent.png",
+        language: "sh",
+        code: codes[0],
+      },
+      {
+        name: "Python API",
+        mode: "python",
+        image:
+          "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
+        language: "py",
+        code: codes[1],
+      },
+      {
+        name: "Python Code",
+        mode: "python",
+        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+        language: "py",
+        code: codes[2],
+      },
+      {
+        name: "Chat Widget HTML",
+        description:
+          "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
+        mode: "html",
+        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+        language: "py",
+        code: codes[3],
+      },
+    ];
+  }
+  return [
+    {
+      name: "cURL",
+      mode: "bash",
+      image: "https://curl.se/logo/curl-symbol-transparent.png",
+      language: "sh",
+      code: codes[0],
+    },
+    {
+      name: "Python API",
+      mode: "python",
+      image:
+        "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
+      language: "py",
+      code: codes[1],
+    },
+    {
+      name: "Python Code",
+      mode: "python",
+      language: "py",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      code: codes[2],
+    },
+    {
+      name: "Chat Widget HTML",
+      description:
+        "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
+      mode: "html",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      language: "py",
+      code: codes[3],
+    },
+    {
+      name: "Tweaks",
+      mode: "python",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      language: "py",
+      code: codes[4],
+    },
+  ];
+}
diff --git a/src/frontend/vite.config.ts b/src/frontend/vite.config.ts
index f051c2eee..b513e36bb 100644
--- a/src/frontend/vite.config.ts
+++ b/src/frontend/vite.config.ts
@@ -6,6 +6,9 @@ const apiRoutes = ["^/api/v1/", "/health"];
 // Use environment variable to determine the target.
 const target = process.env.VITE_PROXY_TARGET || "http://127.0.0.1:7860";
 
+// Use environment variable to determine the UI server port
+const port = process.env.VITE_PORT || 3000;
+
 const proxyTargets = apiRoutes.reduce((proxyObj, route) => {
   proxyObj[route] = {
     target: target,
@@ -22,7 +25,7 @@ export default defineConfig(() => {
     },
     plugins: [react(), svgr()],
     server: {
-      port: 3000,
+      port: port,
       proxy: {
         ...proxyTargets,
       },