Merge remote-tracking branch 'origin/dev' into db

.github/workflows/release.yml

@@ -54,4 +54,4 @@ jobs:
           token: ${{ secrets.SERVE_GITHUB_TOKEN }}
           repository: jina-ai/langchain-serve
           event-type: langflow-push
-          client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}'
+          client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "main"}'

Makefile

@@ -46,6 +46,12 @@ backend:
 	make install_backend
 	poetry run uvicorn langflow.main:app --port 7860 --reload --log-level debug
 
+build_and_run:
+	echo 'Removing dist folder'
+	rm -rf dist
+	make build && poetry run pip install dist/*.tar.gz && poetry run langflow
+
+
 build_frontend:
 	cd src/frontend && CI='' npm run build
 	cp -r src/frontend/build src/backend/langflow/frontend

poetry.lock

@@ -205,32 +205,16 @@ files = [
 
 [[package]]
 name = "argilla"
-version = "1.3.2"
-description = "Open-source tool for exploring, labeling, and monitoring data for NLP projects."
+version = "0.0.1"
+description = ""
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = "*"
 files = [
-    {file = "argilla-1.3.2-py3-none-any.whl", hash = "sha256:2471d750f79bd1ac17c56be420781299a6b921405b473a272c402b71fddf45bf"},
-    {file = "argilla-1.3.2.tar.gz", hash = "sha256:bbf5a12acb7a8d8cd91852c86c432684464ad095bba6a9d8ab95ab56a5e06255"},
+    {file = "argilla-0.0.1-py3-none-any.whl", hash = "sha256:8bdc3c505bcfb47ba4b91f5658034eae53bf7d4f9317980397605c0c55817396"},
+    {file = "argilla-0.0.1.tar.gz", hash = "sha256:5017854754e89f573b31af25b25b803f51cea9ca1fa0bcf00505dee1f45cf7c9"},
 ]
 
-[package.dependencies]
-backoff = "*"
-deprecated = ">=1.2.0,<1.3.0"
-httpx = ">=0.15,<0.24"
-monotonic = "*"
-numpy = "<1.24.0"
-packaging = ">=20.0"
-pandas = ">=1.0.0,<2.0.0"
-pydantic = ">=1.7.1"
-tqdm = ">=4.27.0"
-wrapt = ">=1.13,<1.15"
-
-[package.extras]
-listeners = ["prodict (>=0.8.0,<0.9.0)", "schedule (>=1.1.0,<1.2.0)"]
-server = ["Deprecated (>=1.2.0,<1.3.0)", "PyYAML (>=5.4.1,<6.1.0)", "aiofiles (>=0.6,<22.2)", "brotli-asgi (>=1.1,<1.3)", "elasticsearch (>=7.11.0,<8.6.0)", "fastapi (>=0.75,<0.89)", "luqum (>=0.11,<0.13)", "opensearch-py (>=1.0,<2.1)", "passlib[bcrypt] (>=1.7.4,<1.8.0)", "psutil (>=5.8,<5.10)", "python-jose[cryptography] (>=3.2,<3.4)", "python-multipart (>=0.0.5,<0.1.0)", "scikit-learn (>=0.24.2)", "segment-analytics-python (==2.2.0)", "smart-open", "uvicorn[standard] (>=0.15.0,<0.21.0)"]
-
 [[package]]
 name = "asgiref"
 version = "3.7.2"
@@ -606,14 +590,14 @@ files = [
 
 [[package]]
 name = "chromadb"
-version = "0.3.25"
+version = "0.3.26"
 description = "Chroma."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "chromadb-0.3.25-py3-none-any.whl", hash = "sha256:81afe1850de5b5621570bb3f9d521f42c545091d53d650f8b94a55cd9b69f768"},
-    {file = "chromadb-0.3.25.tar.gz", hash = "sha256:78f35c65de7c21622dfc0fe02b6db6b59ba8f04fb8b8cd7b5e5f8f68f9806e8a"},
+    {file = "chromadb-0.3.26-py3-none-any.whl", hash = "sha256:45a7848ee3ed8b694ca5789e5fd723406b76a13fa46f9a9a769f93317f29894c"},
+    {file = "chromadb-0.3.26.tar.gz", hash = "sha256:a9b596d507f081993f2e32a7dcacabbbec2f6aebc2b6defe524442b07e265296"},
 ]
 
 [package.dependencies]
@@ -626,6 +610,7 @@ onnxruntime = ">=1.14.1"
 overrides = ">=7.3.1"
 pandas = ">=1.3"
 posthog = ">=2.4.0"
+pulsar-client = ">=3.1.0"
 pydantic = ">=1.9"
 requests = ">=2.28"
 tokenizers = ">=0.13.2"
@@ -650,77 +635,77 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "clickhouse-connect"
-version = "0.5.25"
-description = "ClickHouse core driver, SqlAlchemy, and Superset libraries"
+version = "0.6.1"
+description = "ClickHouse Database Core Driver for Python, Pandas, and Superset"
 category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
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 [package.dependencies]
@@ -735,19 +720,18 @@ arrow = ["pyarrow"]
 numpy = ["numpy"]
 orjson = ["orjson"]
 pandas = ["pandas"]
-sqlalchemy = ["sqlalchemy (>1.3.21,<1.4)"]
-superset = ["apache-superset (>=1.4.1)"]
+sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
 
 [[package]]
 name = "cohere"
-version = "4.7.0"
+version = "4.9.0"
 description = ""
 category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2131,13 +2115,13 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pa
 
 [[package]]
 name = "jcloud"
-version = "0.2.10"
+version = "0.2.11"
 description = "Simplify deploying and managing Jina projects on Jina Cloud"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -2393,20 +2377,21 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "langchain"
-version = "0.0.186"
+version = "0.0.194"
 description = "Building applications with LLMs through composability"
 category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.6.0"
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 numexpr = ">=2.8.4,<3.0.0"
 numpy = ">=1,<2"
 openapi-schema-pydantic = ">=1.2,<2.0"
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 tenacity = ">=8.1.0,<9.0.0"
 
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-version = "0.0.41"
+version = "0.0.43"
 description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
 category = "main"
 optional = true
 python-versions = "*"
 files = [
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@@ -2455,6 +2440,23 @@ typing-inspect = "0.8.0"
 [package.extras]
 test = ["psutil", "pytest", "pytest-asyncio"]
 
+[[package]]
+name = "langchainplus-sdk"
+version = "0.0.6"
+description = "Client library to connect to the LangChainPlus LLM Tracing and Evaluation Platform."
+category = "main"
+optional = false
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+
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@@ -2791,22 +2793,22 @@ traitlets = "*"
 
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+rtd = ["myst-parser", "sphinx-book-theme"]
 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
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+optional = false
+python-versions = ">=3.7"
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 [[package]]
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 version = "1.3.0"
@@ -3114,40 +3143,40 @@ numpy = ">=1.13.3"
 
 [[package]]
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-description = "NumPy is the fundamental package for array computing with Python."
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 [package.dependencies]
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+    {file = "wrapt-1.15.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6bcbfc99f55655c3d93feb7ef3800bd5bbe963a755687cbf1f490a71fb7794b"},
+    {file = "wrapt-1.15.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c99f4309f5145b93eca6e35ac1a988f0dc0a7ccf9ccdcd78d3c0adf57224e62f"},
+    {file = "wrapt-1.15.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b130fe77361d6771ecf5a219d8e0817d61b236b7d8b37cc045172e574ed219e6"},
+    {file = "wrapt-1.15.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:96177eb5645b1c6985f5c11d03fc2dbda9ad24ec0f3a46dcce91445747e15094"},
+    {file = "wrapt-1.15.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d5fe3e099cf07d0fb5a1e23d399e5d4d1ca3e6dfcbe5c8570ccff3e9208274f7"},
+    {file = "wrapt-1.15.0-cp38-cp38-win32.whl", hash = "sha256:abd8f36c99512755b8456047b7be10372fca271bf1467a1caa88db991e7c421b"},
+    {file = "wrapt-1.15.0-cp38-cp38-win_amd64.whl", hash = "sha256:b06fa97478a5f478fb05e1980980a7cdf2712015493b44d0c87606c1513ed5b1"},
+    {file = "wrapt-1.15.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2e51de54d4fb8fb50d6ee8327f9828306a959ae394d3e01a1ba8b2f937747d86"},
+    {file = "wrapt-1.15.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0970ddb69bba00670e58955f8019bec4a42d1785db3faa043c33d81de2bf843c"},
+    {file = "wrapt-1.15.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76407ab327158c510f44ded207e2f76b657303e17cb7a572ffe2f5a8a48aa04d"},
+    {file = "wrapt-1.15.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd525e0e52a5ff16653a3fc9e3dd827981917d34996600bbc34c05d048ca35cc"},
+    {file = "wrapt-1.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d37ac69edc5614b90516807de32d08cb8e7b12260a285ee330955604ed9dd29"},
+    {file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:078e2a1a86544e644a68422f881c48b84fef6d18f8c7a957ffd3f2e0a74a0d4a"},
+    {file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2cf56d0e237280baed46f0b5316661da892565ff58309d4d2ed7dba763d984b8"},
+    {file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7dc0713bf81287a00516ef43137273b23ee414fe41a3c14be10dd95ed98a2df9"},
+    {file = "wrapt-1.15.0-cp39-cp39-win32.whl", hash = "sha256:46ed616d5fb42f98630ed70c3529541408166c22cdfd4540b88d5f21006b0eff"},
+    {file = "wrapt-1.15.0-cp39-cp39-win_amd64.whl", hash = "sha256:eef4d64c650f33347c1f9266fa5ae001440b232ad9b98f1f43dfe7a79435c0a6"},
+    {file = "wrapt-1.15.0-py3-none-any.whl", hash = "sha256:64b1df0f83706b4ef4cfb4fb0e4c2669100fd7ecacfb59e091fad300d4e04640"},
+    {file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"},
 ]
 
 [[package]]
@@ -6319,4 +6408,4 @@ deploy = ["langchain-serve"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "056d7c612dd394ddd48b60132a624a3ce41bb7128ccb6d2b535ee8ef1df4ef3f"
+content-hash = "3cefd738bb8466d22b1403d9b40c92420ec7f248705a2604b21d96e58d5db990"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.0.80"
+version = "0.0.88"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
@@ -29,7 +29,7 @@ google-search-results = "^2.4.1"
 google-api-python-client = "^2.79.0"
 typer = "^0.7.0"
 gunicorn = "^20.1.0"
-langchain = "^0.0.186"
+langchain = "^0.0.194"
 openai = "^0.27.7"
 types-pyyaml = "^6.0.12.8"
 dill = "^0.3.6"
@@ -61,6 +61,7 @@ sqlmodel = "^0.0.8"
 faiss-cpu = "^1.7.4"
 anthropic = "^0.2.9"
 orjson = "^3.9.0"
+multiprocess = "^0.70.14"
 
 
 [tool.poetry.group.dev.dependencies]

src/backend/langflow/__main__.py

@@ -1,21 +1,29 @@
-import multiprocessing
+import sys
+import time
+import httpx
+from multiprocess import Process, cpu_count  # type: ignore
 import platform
 from pathlib import Path
 from typing import Optional
 
+from rich.panel import Panel
+from rich import box
+from rich import print as rprint
 import typer
 from fastapi.staticfiles import StaticFiles
 
 from langflow.main import create_app
 from langflow.settings import settings
-from langflow.utils.logger import configure
+from langflow.utils.logger import configure, logger
+import webbrowser
+
 
 app = typer.Typer()
 
 
 def get_number_of_workers(workers=None):
     if workers == -1:
-        workers = (multiprocessing.cpu_count() * 2) + 1
+        workers = (cpu_count() * 2) + 1
     return workers
 
 
@@ -80,7 +88,7 @@ def serve(
     timeout: int = typer.Option(60, help="Worker timeout in seconds."),
     port: int = typer.Option(7860, help="Port to listen on."),
     config: str = typer.Option("config.yaml", help="Path to the configuration file."),
-    log_level: str = typer.Option("info", help="Logging level."),
+    log_level: str = typer.Option("critical", 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"),
     dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
@@ -88,6 +96,13 @@ def serve(
         None,
         help="Database URL to connect to. If not provided, a local SQLite database will be used.",
     ),
+    path: str = typer.Option(
+        None,
+        help="Path to the frontend directory containing build files. This is for development purposes only.",
+    ),
+    open_browser: bool = typer.Option(
+        True, help="Open the browser after starting the server."
+    ),
 ):
     """
     Run the Langflow server.
@@ -100,8 +115,11 @@ def serve(
     update_settings(config, dev=dev, database_url=database_url)
     app = create_app()
     # get the directory of the current file
-    path = Path(__file__).parent
-    static_files_dir = path / "frontend"
+    if not path:
+        frontend_path = Path(__file__).parent
+        static_files_dir = frontend_path / "frontend"
+    else:
+        static_files_dir = Path(path)
     app.mount(
         "/",
         StaticFiles(directory=static_files_dir, html=True),
@@ -114,17 +132,74 @@ def serve(
         "timeout": timeout,
     }
 
-    if platform.system() in ["Darwin", "Windows"]:
-        # Run using uvicorn on MacOS and Windows
-        # Windows doesn't support gunicorn
-        # MacOS requires an env variable to be set to use gunicorn
-        import uvicorn
+    webapp_process = Process(
+        target=run_langflow, args=(host, port, log_level, options, app)
+    )
+    webapp_process.start()
+    status_code = 0
+    while status_code != 200:
+        try:
+            status_code = httpx.get(f"http://{host}:{port}").status_code
+        except Exception:
+            time.sleep(1)
 
-        uvicorn.run(app, host=host, port=port, log_level=log_level)
-    else:
-        from langflow.server import LangflowApplication
+    print_banner(host, port)
+    if open_browser:
+        webbrowser.open(f"http://{host}:{port}")
 
-        LangflowApplication(app, options).run()
+
+def print_banner(host, port):
+    # console = Console()
+
+    word = "LangFlow"
+    colors = ["#690080", "#660099", "#4d00b3", "#3300cc", "#1a00e6", "#0000ff"]
+
+    styled_word = ""
+
+    for i, char in enumerate(word):
+        color = colors[i % len(colors)]
+        styled_word += f"[{color}]{char}[/]"
+
+    # Title with emojis and gradient text
+    title = (
+        f"[bold]Welcome to :chains: {styled_word} [/bold]\n\n"
+        f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
+    )
+    info_text = (
+        "Collaborate, and contribute at our "
+        "[bold][link=https://github.com/logspace-ai/langflow]GitHub Repo[/link][/bold] :rocket:"
+    )
+
+    # Create a panel with the title and the info text, and a border around it
+    panel = Panel(
+        f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False
+    )
+
+    # Print the banner with a separator line before and after
+    rprint(panel)
+
+
+def run_langflow(host, port, log_level, options, app):
+    """
+    Run Langflow server on localhost
+    """
+    try:
+        if platform.system() in ["Darwin", "Windows"]:
+            # Run using uvicorn on MacOS and Windows
+            # Windows doesn't support gunicorn
+            # MacOS requires an env variable to be set to use gunicorn
+            import uvicorn
+
+            uvicorn.run(app, host=host, port=port, log_level=log_level)
+        else:
+            from langflow.server import LangflowApplication
+
+            LangflowApplication(app, options).run()
+    except KeyboardInterrupt:
+        pass
+    except Exception as e:
+        logger.error(e)
+        sys.exit(1)
 
 
 def main():

src/backend/langflow/config.yaml

@@ -58,6 +58,7 @@ llms:
   - Cohere
   - Anthropic
   - ChatAnthropic
+  - HuggingFaceHub
 memories:
   - ConversationBufferMemory
   - ConversationSummaryMemory
@@ -84,6 +85,7 @@ tools:
   - Serper Search
   - Tool
   - PythonFunctionTool
+  - PythonFunction
   - JsonSpec
   - News API
   - TMDB API

src/backend/langflow/custom/customs.py

@@ -5,6 +5,7 @@ CUSTOM_NODES = {
     "prompts": {"ZeroShotPrompt": frontend_node.prompts.ZeroShotPromptNode()},
     "tools": {
         "PythonFunctionTool": frontend_node.tools.PythonFunctionToolNode(),
+        "PythonFunction": frontend_node.tools.PythonFunctionNode(),
         "Tool": frontend_node.tools.ToolNode(),
     },
     "agents": {

src/backend/langflow/interface/loading.py

@@ -24,7 +24,7 @@ from langflow.interface.importing.utils import get_function, import_by_type
 from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.types import get_type_list
 from langflow.interface.utils import load_file_into_dict
-from langflow.utils import util
+from langflow.utils import util, validate
 
 
 def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@@ -101,6 +101,12 @@ def instantiate_tool(node_type, class_object, params):
     elif node_type == "PythonFunctionTool":
         params["func"] = get_function(params.get("code"))
         return class_object(**params)
+    # For backward compatibility
+    elif node_type == "PythonFunction":
+        function_string = params["code"]
+        if isinstance(function_string, str):
+            return validate.eval_function(function_string)
+        raise ValueError("Function should be a string")
     elif node_type.lower() == "tool":
         return class_object(**params)
     return class_object(**params)

src/backend/langflow/interface/tools/constants.py

@@ -9,10 +9,14 @@ from langchain.agents.load_tools import (
 from langchain.tools.json.tool import JsonSpec
 
 from langflow.interface.importing.utils import import_class
-from langflow.interface.tools.custom import PythonFunctionTool
+from langflow.interface.tools.custom import PythonFunctionTool, PythonFunction
 
 FILE_TOOLS = {"JsonSpec": JsonSpec}
-CUSTOM_TOOLS = {"Tool": Tool, "PythonFunctionTool": PythonFunctionTool}
+CUSTOM_TOOLS = {
+    "Tool": Tool,
+    "PythonFunctionTool": PythonFunctionTool,
+    "PythonFunction": PythonFunction,
+}
 
 OTHER_TOOLS = {tool: import_class(f"langchain.tools.{tool}") for tool in tools.__all__}
 

src/backend/langflow/interface/tools/custom.py

@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import Callable, Optional
 from langflow.interface.importing.utils import get_function
 
 from pydantic import BaseModel, validator
@@ -9,6 +9,7 @@ from langchain.agents.tools import Tool
 
 class Function(BaseModel):
     code: str
+    function: Optional[Callable] = None
     imports: Optional[str] = None
 
     # Eval code and store the function
@@ -25,6 +26,12 @@ class Function(BaseModel):
 
         return v
 
+    def get_function(self):
+        """Get the function"""
+        function_name = validate.extract_function_name(self.code)
+
+        return validate.create_function(self.code, function_name)
+
 
 class PythonFunctionTool(Function, Tool):
     """Python function"""
@@ -39,3 +46,9 @@ class PythonFunctionTool(Function, Tool):
         self.code = code
         self.func = get_function(self.code)
         super().__init__(name=name, description=description, func=self.func)
+
+
+class PythonFunction(Function):
+    """Python function"""
+
+    code: str

src/backend/langflow/interface/utils.py

@@ -45,8 +45,12 @@ def try_setting_streaming_options(langchain_object, websocket):
         langchain_object.llm_chain, "llm"
     ):
         llm = langchain_object.llm_chain.llm
-    if isinstance(llm, BaseLanguageModel) and hasattr(llm, "streaming"):
-        llm.streaming = True
+
+    if isinstance(llm, BaseLanguageModel):
+        if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
+            llm.streaming = True
+        elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
+            llm.stream = True
 
     return langchain_object
 

src/backend/langflow/template/frontend_node/llms.py

@@ -16,20 +16,30 @@ class LLMFrontendNode(FrontendNode):
     def format_azure_field(field: TemplateField):
         if field.name == "model_name":
             field.show = False  # Azure uses deployment_name instead of model_name.
-        if field.name == "openai_api_type":
+        elif field.name == "openai_api_type":
             field.show = False
             field.password = False
             field.value = "azure"
-        if field.name == "openai_api_version":
+        elif field.name == "openai_api_version":
             field.password = False
             field.value = "2023-03-15-preview"
 
+    @staticmethod
+    def format_llama_field(field: TemplateField):
+        field.show = True
+        field.advanced = not field.required
+
     @staticmethod
     def format_field(field: TemplateField, name: Optional[str] = None) -> None:
         display_names_dict = {
             "huggingfacehub_api_token": "HuggingFace Hub API Token",
         }
         FrontendNode.format_field(field, name)
+        LLMFrontendNode.format_openai_field(field)
+        if name and "azure" in name.lower():
+            LLMFrontendNode.format_azure_field(field)
+        if name and "llama" in name.lower():
+            LLMFrontendNode.format_llama_field(field)
         SHOW_FIELDS = ["repo_id"]
         if field.name in SHOW_FIELDS:
             field.show = True
@@ -46,7 +56,8 @@ class LLMFrontendNode(FrontendNode):
             field.required = True
             field.show = True
             field.is_list = True
-            field.options = ["text-generation", "text2text-generation"]
+            field.options = ["text-generation", "text2text-generation", "summarization"]
+            field.value = field.options[0]
             field.advanced = True
 
         if display_name := display_names_dict.get(field.name):
@@ -64,7 +75,3 @@ class LLMFrontendNode(FrontendNode):
         ]:
             field.advanced = False
             field.show = True
-
-        LLMFrontendNode.format_openai_field(field)
-        if name and "azure" in name.lower():
-            LLMFrontendNode.format_azure_field(field)

src/backend/langflow/template/frontend_node/tools.py

@@ -103,3 +103,27 @@ class PythonFunctionToolNode(FrontendNode):
 
     def to_dict(self):
         return super().to_dict()
+
+
+class PythonFunctionNode(FrontendNode):
+    name: str = "PythonFunction"
+    template: Template = Template(
+        type_name="python_function",
+        fields=[
+            TemplateField(
+                field_type="code",
+                required=True,
+                placeholder="",
+                is_list=False,
+                show=True,
+                value=DEFAULT_PYTHON_FUNCTION,
+                name="code",
+                advanced=False,
+            )
+        ],
+    )
+    description: str = "Python function to be executed."
+    base_classes: list[str] = ["function"]
+
+    def to_dict(self):
+        return super().to_dict()

src/frontend/src/App.tsx

@@ -49,7 +49,7 @@ export default function App() {
   // Initialize state variable for the version
   const [version, setVersion] = useState("");
   useEffect(() => {
-    fetch("/version")
+    fetch("api/v1/version")
       .then((res) => res.json())
       .then((data) => {
         setVersion(data.version);
@@ -159,7 +159,7 @@ export default function App() {
         className="absolute left-7 bottom-2 flex h-6 cursor-pointer flex-col items-center justify-start overflow-hidden rounded-lg bg-foreground px-2 text-center font-sans text-xs tracking-wide text-secondary transition-all duration-500 ease-in-out hover:h-12"
       >
         {version && <div className="mt-1">⛓️ LangFlow v{version}</div>}
-        <div className="mt-2">Created by Logspace</div>
+        <div className={version ? "mt-2" : "mt-1"}>Created by Logspace</div>
       </a>
     </div>
   );

src/frontend/src/contexts/tabsContext.tsx

@@ -89,39 +89,47 @@ export function TabsProvider({ children }: { children: ReactNode }) {
     let cookie = window.localStorage.getItem("tabsData");
     if (cookie && Object.keys(templates).length > 0) {
       let cookieObject: LangFlowState = JSON.parse(cookie);
-      cookieObject.flows.forEach((flow) => {
-        flow.data.edges.forEach((edge) => {
-          edge.className = "";
-          edge.style = { stroke: "#555555" };
-        });
-        flow.data.nodes.forEach((node) => {
-          const template = templates[node.data.type];
-          if (!template) {
-            setErrorData({ title: `Unknown node type: ${node.data.type}` });
+      try {
+        cookieObject.flows.forEach((flow) => {
+          if (!flow.data) {
             return;
           }
-          if (Object.keys(template["template"]).length > 0) {
-            node.data.node.base_classes = template["base_classes"];
-            flow.data.edges.forEach((edge) => {
-              if (edge.source === node.id) {
-                edge.sourceHandle = edge.sourceHandle
-                  .split("|")
-                  .slice(0, 2)
-                  .concat(template["base_classes"])
-                  .join("|");
-              }
-            });
-            node.data.node.description = template["description"];
-            node.data.node.template = updateTemplate(
-              template["template"] as unknown as APITemplateType,
-              node.data.node.template as APITemplateType
-            );
-          }
+          flow.data.edges.forEach((edge) => {
+            edge.className = "";
+            edge.style = { stroke: "#555555" };
+          });
+
+          flow.data.nodes.forEach((node) => {
+            const template = templates[node.data.type];
+            if (!template) {
+              setErrorData({ title: `Unknown node type: ${node.data.type}` });
+              return;
+            }
+            if (Object.keys(template["template"]).length > 0) {
+              node.data.node.base_classes = template["base_classes"];
+              flow.data.edges.forEach((edge) => {
+                if (edge.source === node.id) {
+                  edge.sourceHandle = edge.sourceHandle
+                    .split("|")
+                    .slice(0, 2)
+                    .concat(template["base_classes"])
+                    .join("|");
+                }
+              });
+              node.data.node.description = template["description"];
+              node.data.node.template = updateTemplate(
+                template["template"] as unknown as APITemplateType,
+                node.data.node.template as APITemplateType
+              );
+            }
+          });
         });
-      });
-      setTabIndex(cookieObject.tabIndex);
-      setFlows(cookieObject.flows);
-      setId(cookieObject.id);
+        setTabIndex(cookieObject.tabIndex);
+        setFlows(cookieObject.flows);
+        setId(cookieObject.id);
+      } catch (e) {
+        console.log(e);
+      }
     }
   }, [templates]);
 

src/frontend/src/controllers/API/index.ts

@@ -14,13 +14,13 @@ export async function sendAll(data: sendAllProps) {
 export async function checkCode(
   code: string
 ): Promise<AxiosResponse<errorsTypeAPI>> {
-  return await axios.post("api/v1/validate/code", { code });
+  return await axios.post("/validate/code", { code });
 }
 
 export async function checkPrompt(
   template: string
 ): Promise<AxiosResponse<PromptTypeAPI>> {
-  return await axios.post("api/v1/validate/prompt", { template });
+  return await axios.post("/validate/prompt", { template });
 }
 
 export async function getExamples(): Promise<FlowType[]> {
@@ -37,7 +37,5 @@ export async function getExamples(): Promise<FlowType[]> {
     return contentResponse.data;
   });
 
-  const contents = await Promise.all(contentsPromises);
-
-  return contents;
+  return await Promise.all(contentsPromises);
 }

src/frontend/src/modals/chatModal/index.tsx

@@ -215,19 +215,11 @@ export default function ChatModal({
         }
       };
       ws.current = newWs;
-    } catch {
+    } catch (error) {
       if (flow.id === "") {
         connectWS();
-      } else {
-        setErrorData({
-          title: "There was an error on web connection, please: ",
-          list: [
-            "Refresh the page",
-            "Use a new flow tab",
-            "Check if the backend is up",
-          ],
-        });
       }
+      console.log(error);
     }
   }
 
@@ -236,7 +228,7 @@ export default function ChatModal({
     return () => {
       console.log("unmount");
       console.log(ws);
-      if (ws) {
+      if (ws.current) {
         ws.current.close();
       }
     };
@@ -244,8 +236,9 @@ export default function ChatModal({
 
   useEffect(() => {
     if (
-      ws.current.readyState === ws.current.CLOSED ||
-      ws.current.readyState === ws.current.CLOSING
+      ws.current &&
+      (ws.current.readyState === ws.current.CLOSED ||
+        ws.current.readyState === ws.current.CLOSING)
     ) {
       connectWS();
       setLockChat(false);

tests/test_custom_types.py

@@ -1,11 +1,11 @@
 # Test this:
 from langflow.interface.importing.utils import get_function
 import pytest
-from langflow.interface.tools.custom import PythonFunctionTool
+from langflow.interface.tools.custom import PythonFunctionTool, PythonFunction
 from langflow.utils import constants
 
 
-def test_python_function():
+def test_python_function_tool():
     """Test Python function"""
     code = constants.DEFAULT_PYTHON_FUNCTION
     func = get_function(code)
@@ -21,3 +21,15 @@ def test_python_function():
         func = PythonFunctionTool(
             name="Test", description="Testing", code=code, func=func
         )
+
+
+def test_python_function():
+    """Test Python function"""
+    func = PythonFunction(code=constants.DEFAULT_PYTHON_FUNCTION)
+    assert get_function(func.code)("text") == "text"
+    # the tool decorator should raise an error if
+    # the function is not str -> str
+
+    # This raises ValidationError
+    with pytest.raises(SyntaxError):
+        func = PythonFunction(code=pytest.CODE_WITH_SYNTAX_ERROR)

tests/test_llms_template.py

@@ -484,75 +484,76 @@ def test_chat_open_ai(client: TestClient):
     }
 
 
-def test_azure_open_ai(client: TestClient):
-    response = client.get("/all")
-    assert response.status_code == 200
-    json_response = response.json()
-    language_models = json_response["llms"]
+# Commenting this out for now, as it requires to activate the nodes
+# def test_azure_open_ai(client: TestClient):
+#     response = client.get("/all")
+#     assert response.status_code == 200
+#     json_response = response.json()
+#     language_models = json_response["llms"]
 
-    model = language_models["AzureOpenAI"]
-    template = model["template"]
+#     model = language_models["AzureOpenAI"]
+#     template = model["template"]
 
-    assert template["model_name"].show is False
-    assert template["deployment_name"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": False,
-        "value": "",
-        "password": False,
-        "name": "deployment_name",
-        "advanced": False,
-        "type": "str",
-        "list": False,
-    }
+#     assert template["model_name"]["show"] is False
+#     assert template["deployment_name"] == {
+#         "required": False,
+#         "placeholder": "",
+#         "show": True,
+#         "multiline": False,
+#         "value": "",
+#         "password": False,
+#         "name": "deployment_name",
+#         "advanced": False,
+#         "type": "str",
+#         "list": False,
+#     }
 
 
-def test_azure_chat_open_ai(client: TestClient):
-    response = client.get("/all")
-    assert response.status_code == 200
-    json_response = response.json()
-    language_models = json_response["llms"]
+# def test_azure_chat_open_ai(client: TestClient):
+#     response = client.get("/all")
+#     assert response.status_code == 200
+#     json_response = response.json()
+#     language_models = json_response["llms"]
 
-    model = language_models["AzureChatOpenAI"]
-    template = model["template"]
+#     model = language_models["AzureChatOpenAI"]
+#     template = model["template"]
 
-    assert template["model_name"].show is False
-    assert template["deployment_name"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": False,
-        "value": "",
-        "password": False,
-        "name": "deployment_name",
-        "advanced": False,
-        "type": "str",
-        "list": False,
-    }
-    assert template["openai_api_type"] == {
-        "required": False,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "value": "azure",
-        "password": False,
-        "name": "openai_api_type",
-        "display_name": "OpenAI API Type",
-        "advanced": False,
-        "type": "str",
-        "list": False,
-    }
-    assert template["openai_api_version"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": False,
-        "value": "2023-03-15-preview",
-        "password": False,
-        "name": "openai_api_version",
-        "display_name": "OpenAI API Version",
-        "advanced": False,
-        "type": "str",
-        "list": False,
-    }
+#     assert template["model_name"]["show"] is False
+#     assert template["deployment_name"] == {
+#         "required": False,
+#         "placeholder": "",
+#         "show": True,
+#         "multiline": False,
+#         "value": "",
+#         "password": False,
+#         "name": "deployment_name",
+#         "advanced": False,
+#         "type": "str",
+#         "list": False,
+#     }
+#     assert template["openai_api_type"] == {
+#         "required": False,
+#         "placeholder": "",
+#         "show": False,
+#         "multiline": False,
+#         "value": "azure",
+#         "password": False,
+#         "name": "openai_api_type",
+#         "display_name": "OpenAI API Type",
+#         "advanced": False,
+#         "type": "str",
+#         "list": False,
+#     }
+#     assert template["openai_api_version"] == {
+#         "required": False,
+#         "placeholder": "",
+#         "show": True,
+#         "multiline": False,
+#         "value": "2023-03-15-preview",
+#         "password": False,
+#         "name": "openai_api_version",
+#         "display_name": "OpenAI API Version",
+#         "advanced": False,
+#         "type": "str",
+#         "list": False,
+#     }