Merge branch 'dev' into variables_refactor

.vscode/launch.json

@@ -1,4 +1,5 @@
 {
+  "version": "0.2.0",
   "configurations": [
     {
       "name": "Debug Backend",
@@ -38,6 +39,15 @@
       "request": "launch",
       "url": "http://localhost:3000/",
       "webRoot": "${workspaceRoot}/src/frontend"
+    },
+    {
+      "name": "Python: Debug Tests",
+      "type": "python",
+      "request": "launch",
+      "program": "${file}",
+      "purpose": ["debug-test"],
+      "console": "integratedTerminal",
+      "justMyCode": false
     }
   ]
 }

CONTRIBUTING.md

@@ -7,6 +7,11 @@ to contributions, whether it be in the form of a new feature, improved infra, or
 To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
 Please do not try to push directly to this repo unless you are a maintainer.
 
+The branch structure is as follows:
+
+- `main`: The stable version of Langflow
+- `dev`: The development version of Langflow. This branch is used to test new features before they are merged into `main` and, as such, may be unstable.
+
 ## 🗺️Contributing Guidelines
 
 ## 🚩GitHub Issues

README.md

@@ -275,6 +275,8 @@ flow("Hey, have you heard of Langflow?")
 
 We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
 
+---
+
 Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions and showcase your projects! 🦾
 
 <p>

docs/docs/guides/loading_document.mdx

@@ -43,7 +43,7 @@ This guide takes you through the process of augmenting the "Basic Chat with Prom
 
 8. Connect this loader to the `{context}` variable that we just added.
 
-9. In the "Web Page" field, enter "https://langflow.org/how-upload-examples".
+9. In the "Web Page" field, enter "https://docs.langflow.org/how-upload-examples".
 
 10. Now, click on "ConversationBufferMemory".
 

docs/static/CNAME

@@ -1 +1 @@
-langflow.org
+docs.langflow.org

poetry.lock

@@ -144,6 +144,25 @@ files = [
     {file = "aiostream-0.4.5.tar.gz", hash = "sha256:3ecbf87085230fbcd9605c32ca20c4fb41af02c71d076eab246ea22e35947d88"},
 ]
 
+[[package]]
+name = "alembic"
+version = "1.11.2"
+description = "A database migration tool for SQLAlchemy."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "alembic-1.11.2-py3-none-any.whl", hash = "sha256:7981ab0c4fad4fe1be0cf183aae17689fe394ff874fd2464adb774396faf0796"},
+    {file = "alembic-1.11.2.tar.gz", hash = "sha256:678f662130dc540dac12de0ea73de9f89caea9dbea138f60ef6263149bf84657"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["python-dateutil"]
+
 [[package]]
 name = "anthropic"
 version = "0.3.8"
@@ -925,13 +944,13 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "ctransformers"
-version = "0.2.18"
+version = "0.2.21"
 description = "Python bindings for the Transformer models implemented in C/C++ using GGML library."
 optional = true
 python-versions = "*"
 files = [
-    {file = "ctransformers-0.2.18-py3-none-any.whl", hash = "sha256:6d693e269d797f2485c86c9e8a322acb1464e782bf22547ec57e09d4ccbb4523"},
-    {file = "ctransformers-0.2.18.tar.gz", hash = "sha256:fc09c399baf16d99dd44aa6671d49aa4060d8904324c2527aa58e8831476c370"},
+    {file = "ctransformers-0.2.21-py3-none-any.whl", hash = "sha256:18a0555d02f55a3935f5544b885038562f80e497a6197d8e871941a087dba546"},
+    {file = "ctransformers-0.2.21.tar.gz", hash = "sha256:58e7a699050a106688b967faa59f377886e22a581fde6cd36821dfa541995677"},
 ]
 
 [package.dependencies]
@@ -939,6 +958,7 @@ huggingface-hub = "*"
 py-cpuinfo = ">=9.0.0,<10.0.0"
 
 [package.extras]
+cuda = ["nvidia-cublas-cu12", "nvidia-cuda-runtime-cu12"]
 gptq = ["exllama (==0.1.0)"]
 tests = ["pytest"]
 
@@ -1584,13 +1604,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.95.0"
+version = "2.96.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.95.0.tar.gz", hash = "sha256:d2731ede12f79e53fbe11fdb913dfe986440b44c0a28431c78a8ec275f4c1541"},
-    {file = "google_api_python_client-2.95.0-py2.py3-none-any.whl", hash = "sha256:a8aab2da678f42a01f2f52108f787fef4310f23f9dd917c4e64664c3f0c885ba"},
+    {file = "google-api-python-client-2.96.0.tar.gz", hash = "sha256:f712373d03d338af57b9f5fe98c91f4b5baaa8765469b015bc623c4681c5bd51"},
+    {file = "google_api_python_client-2.96.0-py2.py3-none-any.whl", hash = "sha256:38c2b61b10d15bb41ec8f89303e3837ec2d2c3e4e38de5800c05ee322492f937"},
 ]
 
 [package.dependencies]
@@ -2433,13 +2453,13 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "importlib-resources"
-version = "6.0.0"
+version = "6.0.1"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.0.0-py3-none-any.whl", hash = "sha256:d952faee11004c045f785bb5636e8f885bed30dc3c940d5d42798a2a4541c185"},
-    {file = "importlib_resources-6.0.0.tar.gz", hash = "sha256:4cf94875a8368bd89531a756df9a9ebe1f150e0f885030b461237bc7f2d905f2"},
+    {file = "importlib_resources-6.0.1-py3-none-any.whl", hash = "sha256:134832a506243891221b88b4ae1213327eea96ceb4e407a00d790bb0626f45cf"},
+    {file = "importlib_resources-6.0.1.tar.gz", hash = "sha256:4359457e42708462b9626a04657c6208ad799ceb41e5c58c57ffa0e6a098a5d4"},
 ]
 
 [package.dependencies]
@@ -2473,13 +2493,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.25.0"
+version = "6.25.1"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.25.0-py3-none-any.whl", hash = "sha256:f0042e867ac3f6bca1679e6a88cbd6a58ed93a44f9d0866aecde6efe8de76659"},
-    {file = "ipykernel-6.25.0.tar.gz", hash = "sha256:e342ce84712861be4b248c4a73472be4702c1b0dd77448bfd6bcfb3af9d5ddf9"},
+    {file = "ipykernel-6.25.1-py3-none-any.whl", hash = "sha256:c8a2430b357073b37c76c21c52184db42f6b4b0e438e1eb7df3c4440d120497c"},
+    {file = "ipykernel-6.25.1.tar.gz", hash = "sha256:050391364c0977e768e354bdb60cbbfbee7cbb943b1af1618382021136ffd42f"},
 ]
 
 [package.dependencies]
@@ -2855,13 +2875,13 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
 
 [[package]]
 name = "langchain"
-version = "0.0.250"
+version = "0.0.256"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.250-py3-none-any.whl", hash = "sha256:65b3520f507e848edd88a35a70700971bbbf822fda65f621ccf44a3bb36ad03a"},
-    {file = "langchain-0.0.250.tar.gz", hash = "sha256:1b5775d6a472f633bb06e794f58cb6ff5d1eeb2da603b64a6a15013f8f61ee3f"},
+    {file = "langchain-0.0.256-py3-none-any.whl", hash = "sha256:3389fcb85d8d4fb16bae5ca9995d3ce634a3330f8ac1f458afc6171e4ca52de5"},
+    {file = "langchain-0.0.256.tar.gz", hash = "sha256:b80115e19f86199c49bca8ef18c09d2d87548332a0144a1c5ce6a2f82e4f5f9c"},
 ]
 
 [package.dependencies]
@@ -2873,7 +2893,7 @@ numexpr = ">=2.8.4,<3.0.0"
 numpy = ">=1,<2"
 openapi-schema-pydantic = ">=1.2,<2.0"
 pydantic = ">=1,<2"
-PyYAML = ">=5.4.1"
+PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
@@ -2885,7 +2905,7 @@ clarifai = ["clarifai (>=9.1.0)"]
 cohere = ["cohere (>=4,<5)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.0.7,<0.0.8)", "chardet (>=5.1.0,<6.0.0)", "esprima (>=4.0.1,<5.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "openai (>=0,<1)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tqdm (>=4.48.0)", "xinference (>=0.0.6,<0.0.7)", "zep-python (>=0.32)"]
+extended-testing = ["amazon-textract-caller (<2)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.0.7,<0.0.8)", "chardet (>=5.1.0,<6.0.0)", "esprima (>=4.0.1,<5.0.0)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "openai (>=0,<1)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tqdm (>=4.48.0)", "xata (>=1.0.0a7,<2.0.0)", "xinference (>=0.0.6,<0.0.7)", "zep-python (>=0.32)"]
 javascript = ["esprima (>=4.0.1,<5.0.0)"]
 llms = ["anthropic (>=0.3,<0.4)", "clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "openllm (>=0.1.19)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)", "xinference (>=0.0.6,<0.0.7)"]
 openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.4.0)"]
@@ -2908,17 +2928,17 @@ langchain = ">=0.0.239"
 
 [[package]]
 name = "langchain-serve"
-version = "0.0.58"
+version = "0.0.59"
 description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
 optional = true
 python-versions = "*"
 files = [
-    {file = "langchain-serve-0.0.58.tar.gz", hash = "sha256:9ec65c8eeda9f777fb8b79117d92839873b10030fd832184ba891d4d3a065fff"},
+    {file = "langchain-serve-0.0.59.tar.gz", hash = "sha256:28ff4ba1b640223158413296ac5b9198eac7cbd206d3386855ad00066a9f91d6"},
 ]
 
 [package.dependencies]
 click = "*"
-jcloud = ">=0.2.13"
+jcloud = ">=0.2.16"
 jina = "3.15.2"
 jina-hubble-sdk = "*"
 langchain = "*"
@@ -2933,13 +2953,13 @@ test = ["psutil", "pytest", "pytest-asyncio"]
 
 [[package]]
 name = "langsmith"
-version = "0.0.18"
+version = "0.0.19"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langsmith-0.0.18-py3-none-any.whl", hash = "sha256:58f3eb029495e3696c3c94c95adfb2dd15043d82928ef932a7829fe020ad5522"},
-    {file = "langsmith-0.0.18.tar.gz", hash = "sha256:d8d97542f99352c5470bff74a4fbc9bd322dea850217a8ab71badcefa041566b"},
+    {file = "langsmith-0.0.19-py3-none-any.whl", hash = "sha256:ae240030fd0b98e9467fbf19ac6d58a0a4ffcc1db8462625141dae6178e62c68"},
+    {file = "langsmith-0.0.19.tar.gz", hash = "sha256:e91a2cd101456e2f8d6015c9ea371d6556eb6072a1b20d4793479855163ae28f"},
 ]
 
 [package.dependencies]
@@ -3147,6 +3167,25 @@ docs = ["sphinx (>=1.6.0)", "sphinx-bootstrap-theme"]
 flake8 = ["flake8"]
 tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"]
 
+[[package]]
+name = "mako"
+version = "1.2.4"
+description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "Mako-1.2.4-py3-none-any.whl", hash = "sha256:c97c79c018b9165ac9922ae4f32da095ffd3c4e6872b45eded42926deea46818"},
+    {file = "Mako-1.2.4.tar.gz", hash = "sha256:d60a3903dc3bb01a18ad6a89cdbe2e4eadc69c0bc8ef1e3773ba53d44c3f7a34"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=0.9.2"
+
+[package.extras]
+babel = ["Babel"]
+lingua = ["lingua"]
+testing = ["pytest"]
+
 [[package]]
 name = "markdown"
 version = "3.4.4"
@@ -3195,7 +3234,7 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 name = "markupsafe"
 version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
@@ -3594,41 +3633,41 @@ twitter = ["twython"]
 
 [[package]]
 name = "numexpr"
-version = "2.8.4"
+version = "2.8.5"
 description = "Fast numerical expression evaluator for NumPy"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "numexpr-2.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a75967d46b6bd56455dd32da6285e5ffabe155d0ee61eef685bbfb8dafb2e484"},
-    {file = "numexpr-2.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db93cf1842f068247de631bfc8af20118bf1f9447cd929b531595a5e0efc9346"},
-    {file = "numexpr-2.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bca95f4473b444428061d4cda8e59ac564dc7dc6a1dea3015af9805c6bc2946"},
-    {file = "numexpr-2.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e34931089a6bafc77aaae21f37ad6594b98aa1085bb8b45d5b3cd038c3c17d9"},
-    {file = "numexpr-2.8.4-cp310-cp310-win32.whl", hash = "sha256:f3a920bfac2645017110b87ddbe364c9c7a742870a4d2f6120b8786c25dc6db3"},
-    {file = "numexpr-2.8.4-cp310-cp310-win_amd64.whl", hash = "sha256:6931b1e9d4f629f43c14b21d44f3f77997298bea43790cfcdb4dd98804f90783"},
-    {file = "numexpr-2.8.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9400781553541f414f82eac056f2b4c965373650df9694286b9bd7e8d413f8d8"},
-    {file = "numexpr-2.8.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6ee9db7598dd4001138b482342b96d78110dd77cefc051ec75af3295604dde6a"},
-    {file = "numexpr-2.8.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141"},
-    {file = "numexpr-2.8.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:655d84eb09adfee3c09ecf4a89a512225da153fdb7de13c447404b7d0523a9a7"},
-    {file = "numexpr-2.8.4-cp311-cp311-win32.whl", hash = "sha256:5538b30199bfc68886d2be18fcef3abd11d9271767a7a69ff3688defe782800a"},
-    {file = "numexpr-2.8.4-cp311-cp311-win_amd64.whl", hash = "sha256:3f039321d1c17962c33079987b675fb251b273dbec0f51aac0934e932446ccc3"},
-    {file = "numexpr-2.8.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c867cc36cf815a3ec9122029874e00d8fbcef65035c4a5901e9b120dd5d626a2"},
-    {file = "numexpr-2.8.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:059546e8f6283ccdb47c683101a890844f667fa6d56258d48ae2ecf1b3875957"},
-    {file = "numexpr-2.8.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:845a6aa0ed3e2a53239b89c1ebfa8cf052d3cc6e053c72805e8153300078c0b1"},
-    {file = "numexpr-2.8.4-cp37-cp37m-win32.whl", hash = "sha256:a38664e699526cb1687aefd9069e2b5b9387da7feac4545de446141f1ef86f46"},
-    {file = "numexpr-2.8.4-cp37-cp37m-win_amd64.whl", hash = "sha256:eaec59e9bf70ff05615c34a8b8d6c7bd042bd9f55465d7b495ea5436f45319d0"},
-    {file = "numexpr-2.8.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b318541bf3d8326682ebada087ba0050549a16d8b3fa260dd2585d73a83d20a7"},
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 [[package]]
 name = "overrides"
-version = "7.3.1"
+version = "7.4.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
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 python-versions = ">=3.6"
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 [[package]]
@@ -4575,13 +4624,13 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
 [[package]]
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-version = "3.1.9"
+version = "3.1.10"
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 [package.dependencies]
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 tzdata = {version = "*", markers = "sys_platform == \"win32\""}
 
 [package.extras]
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-c = ["psycopg-c (==3.1.9)"]
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+c = ["psycopg-c (==3.1.10)"]
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 [[package]]
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 image = ["Pillow (>=8.0.0)"]
 
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 ]
 
 [package.extras]
-all = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "flax (>=0.6.3)", "h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "isort (>=5.5.4)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "numpy (>=1.21.6)", "paddlepaddle (>=2.4.1)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)", "tensorflow (>=2.11.0)", "torch (>=1.10)"]
-dev = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "flax (>=0.6.3)", "h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "isort (>=5.5.4)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "numpy (>=1.21.6)", "paddlepaddle (>=2.4.1)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)", "tensorflow (>=2.11.0)", "torch (>=1.10)"]
+all = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "flax (>=0.6.3)", "h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "isort (>=5.5.4)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "numpy (>=1.21.6)", "paddlepaddle (>=2.4.1)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)", "tensorflow (==2.11.0)", "torch (>=1.10)"]
+dev = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "flax (>=0.6.3)", "h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "isort (>=5.5.4)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "numpy (>=1.21.6)", "paddlepaddle (>=2.4.1)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)", "tensorflow (==2.11.0)", "torch (>=1.10)"]
 jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)"]
 numpy = ["numpy (>=1.21.6)"]
 paddlepaddle = ["paddlepaddle (>=2.4.1)"]
+pinned-tf = ["tensorflow (==2.11.0)"]
 quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
 tensorflow = ["tensorflow (>=2.11.0)"]
 testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "numpy (>=1.21.6)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)"]
@@ -6653,20 +6690,20 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.65.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
-    {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"},
+    {file = "tqdm-4.65.1-py3-none-any.whl", hash = "sha256:16181c62ad2c6f8f6f29876e66322faad1c7fd3cc70aa9cc25ff63e50d1da031"},
+    {file = "tqdm-4.65.1.tar.gz", hash = "sha256:2cb0075cc5269f8edac40bdeb757cc36ab5b6648caf014822b67e1a49fba141d"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
@@ -7261,13 +7298,13 @@ files = [
 
 [[package]]
 name = "wheel"
-version = "0.41.0"
+version = "0.41.1"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "wheel-0.41.0-py3-none-any.whl", hash = "sha256:7e9be3bbd0078f6147d82ed9ed957e323e7708f57e134743d2edef3a7b7972a9"},
-    {file = "wheel-0.41.0.tar.gz", hash = "sha256:55a0f0a5a84869bce5ba775abfd9c462e3a6b1b7b7ec69d72c0b83d673a5114d"},
+    {file = "wheel-0.41.1-py3-none-any.whl", hash = "sha256:473219bd4cbedc62cea0cb309089b593e47c15c4a2531015f94e4e3b9a0f6981"},
+    {file = "wheel-0.41.1.tar.gz", hash = "sha256:12b911f083e876e10c595779709f8a88a59f45aacc646492a67fe9ef796c1b47"},
 ]
 
 [package.extras]
@@ -7580,4 +7617,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.11"
-content-hash = "57abce2ebcdc3cd7e359c36805822b9398d3bfb500c175b173a6d784d1276df6"
+content-hash = "7c6d7dc33a9b0ae9da053fb78b9f2eabbe78df38c4763e5a8719df6249d6f657"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.4.1"
+version = "0.4.3"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
@@ -19,7 +19,7 @@ readme = "README.md"
 keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
 packages = [{ include = "langflow", from = "src/backend" }]
 include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
-
+documentation = "https://docs.langflow.org"
 
 [tool.poetry.scripts]
 langflow = "langflow.__main__:main"
@@ -33,7 +33,7 @@ google-search-results = "^2.4.1"
 google-api-python-client = "^2.79.0"
 typer = "^0.9.0"
 gunicorn = "^21.1.0"
-langchain = "^0.0.250"
+langchain = "^0.0.256"
 openai = "^0.27.8"
 pandas = "^2.0.0"
 chromadb = "^0.3.21"
@@ -63,7 +63,7 @@ python-multipart = "^0.0.6"
 sqlmodel = "^0.0.8"
 faiss-cpu = "^1.7.4"
 anthropic = "^0.3.0"
-orjson = "^3.9.1"
+orjson = "3.9.3"
 multiprocess = "^0.70.14"
 cachetools = "^5.3.1"
 types-cachetools = "^5.3.0.5"
@@ -77,6 +77,7 @@ psycopg = "^3.1.9"
 psycopg-binary = "^3.1.9"
 fastavro = "^1.8.0"
 langchain-experimental = "^0.0.8"
+alembic = "^1.11.2"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.1.0"

src/backend/langflow/__init__.py

@@ -1,5 +1,7 @@
 from importlib import metadata
-from langflow.cache import cache_manager
+
+# Deactivate cache manager for now
+# from langflow.services.cache import cache_manager
 from langflow.processing.process import load_flow_from_json
 from langflow.interface.custom.custom_component import CustomComponent
 

src/backend/langflow/__main__.py

@@ -1,6 +1,7 @@
 import sys
 import time
 import httpx
+from langflow.services.utils import get_settings_manager
 from langflow.utils.util import get_number_of_workers
 from multiprocess import Process  # type: ignore
 import platform
@@ -12,7 +13,6 @@ from rich import box
 from rich import print as rprint
 import typer
 from langflow.main import setup_app
-from langflow.settings import settings
 from langflow.utils.logger import configure, logger
 import webbrowser
 from dotenv import load_dotenv
@@ -30,19 +30,19 @@ def update_settings(
     """Update the settings from a config file."""
 
     # Check for database_url in the environment variables
-
+    settings_manager = get_settings_manager()
     if config:
         logger.debug(f"Loading settings from {config}")
-        settings.update_from_yaml(config, dev=dev)
+        settings_manager.settings.update_from_yaml(config, dev=dev)
     if remove_api_keys:
         logger.debug(f"Setting remove_api_keys to {remove_api_keys}")
-        settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
+        settings_manager.settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
     if cache:
         logger.debug(f"Setting cache to {cache}")
-        settings.update_settings(CACHE=cache)
+        settings_manager.settings.update_settings(CACHE=cache)
     if components_path:
         logger.debug(f"Adding component path {components_path}")
-        settings.update_settings(COMPONENTS_PATH=components_path)
+        settings_manager.settings.update_settings(COMPONENTS_PATH=components_path)
 
 
 def serve_on_jcloud():
@@ -106,7 +106,9 @@ def serve(
         help="Path to the directory containing custom components.",
         envvar="LANGFLOW_COMPONENTS_PATH",
     ),
-    config: str = typer.Option("config.yaml", help="Path to the configuration file."),
+    config: str = typer.Option(
+        Path(__file__).parent / "config.yaml", help="Path to the configuration file."
+    ),
     # .env file param
     env_file: Path = typer.Option(
         None, help="Path to the .env file containing environment variables."
@@ -146,6 +148,11 @@ def serve(
         help="Remove API keys from the projects saved in the database.",
         envvar="LANGFLOW_REMOVE_API_KEYS",
     ),
+    backend_only: bool = typer.Option(
+        False,
+        help="Run only the backend server without the frontend.",
+        envvar="LANGFLOW_BACKEND_ONLY",
+    ),
 ):
     """
     Run the Langflow server.
@@ -167,7 +174,7 @@ def serve(
     )
     # create path object if path is provided
     static_files_dir: Optional[Path] = Path(path) if path else None
-    app = setup_app(static_files_dir=static_files_dir)
+    app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only)
     # check if port is being used
     if is_port_in_use(port, host):
         port = get_free_port(port)
@@ -179,6 +186,10 @@ def serve(
         "timeout": timeout,
     }
 
+    # Define an env variable to know if we are just testing the server
+    if "pytest" in sys.modules:
+        return
+
     if platform.system() in ["Windows"]:
         # Run using uvicorn on MacOS and Windows
         # Windows doesn't support gunicorn

src/backend/langflow/alembic.ini

@@ -0,0 +1,113 @@
+# A generic, single database configuration.
+
+[alembic]
+# path to migration scripts
+script_location = alembic
+
+# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
+# Uncomment the line below if you want the files to be prepended with date and time
+# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
+# for all available tokens
+# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
+
+# sys.path path, will be prepended to sys.path if present.
+# defaults to the current working directory.
+prepend_sys_path = .
+
+# timezone to use when rendering the date within the migration file
+# as well as the filename.
+# If specified, requires the python-dateutil library that can be
+# installed by adding `alembic[tz]` to the pip requirements
+# string value is passed to dateutil.tz.gettz()
+# leave blank for localtime
+# timezone =
+
+# max length of characters to apply to the
+# "slug" field
+# truncate_slug_length = 40
+
+# set to 'true' to run the environment during
+# the 'revision' command, regardless of autogenerate
+# revision_environment = false
+
+# set to 'true' to allow .pyc and .pyo files without
+# a source .py file to be detected as revisions in the
+# versions/ directory
+# sourceless = false
+
+# version location specification; This defaults
+# to alembic/versions.  When using multiple version
+# directories, initial revisions must be specified with --version-path.
+# The path separator used here should be the separator specified by "version_path_separator" below.
+# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions
+
+# version path separator; As mentioned above, this is the character used to split
+# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
+# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
+# Valid values for version_path_separator are:
+#
+# version_path_separator = :
+# version_path_separator = ;
+# version_path_separator = space
+version_path_separator = os  # Use os.pathsep. Default configuration used for new projects.
+
+# set to 'true' to search source files recursively
+# in each "version_locations" directory
+# new in Alembic version 1.10
+# recursive_version_locations = false
+
+# the output encoding used when revision files
+# are written from script.py.mako
+# output_encoding = utf-8
+
+# This is the path to the db in the root of the project.
+# When the user runs the Langflow the database url will
+# be set dinamically.
+sqlalchemy.url = sqlite:///../../../langflow.db
+
+
+[post_write_hooks]
+# post_write_hooks defines scripts or Python functions that are run
+# on newly generated revision scripts.  See the documentation for further
+# detail and examples
+
+# format using "black" - use the console_scripts runner, against the "black" entrypoint
+# hooks = black
+# black.type = console_scripts
+# black.entrypoint = black
+# black.options = -l 79 REVISION_SCRIPT_FILENAME
+
+# Logging configuration
+[loggers]
+keys = root,sqlalchemy,alembic
+
+[handlers]
+keys = console
+
+[formatters]
+keys = generic
+
+[logger_root]
+level = WARN
+handlers = console
+qualname =
+
+[logger_sqlalchemy]
+level = WARN
+handlers =
+qualname = sqlalchemy.engine
+
+[logger_alembic]
+level = INFO
+handlers =
+qualname = alembic
+
+[handler_console]
+class = StreamHandler
+args = (sys.stderr,)
+level = NOTSET
+formatter = generic
+
+[formatter_generic]
+format = %(levelname)-5.5s [%(name)s] %(message)s
+datefmt = %H:%M:%S

src/backend/langflow/alembic/README

@@ -0,0 +1 @@
+Generic single-database configuration.

src/backend/langflow/alembic/env.py

@@ -0,0 +1,78 @@
+from logging.config import fileConfig
+
+from sqlalchemy import engine_from_config
+from sqlalchemy import pool
+
+from alembic import context
+
+from langflow.services.database.manager import SQLModel
+
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
+config = context.config
+
+# Interpret the config file for Python logging.
+# This line sets up loggers basically.
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+# add your model's MetaData object here
+# for 'autogenerate' support
+# from myapp import mymodel
+# target_metadata = mymodel.Base.metadata
+target_metadata = SQLModel.metadata
+
+# other values from the config, defined by the needs of env.py,
+# can be acquired:
+# my_important_option = config.get_main_option("my_important_option")
+# ... etc.
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+
+    This configures the context with just a URL
+    and not an Engine, though an Engine is acceptable
+    here as well.  By skipping the Engine creation
+    we don't even need a DBAPI to be available.
+
+    Calls to context.execute() here emit the given string to the
+    script output.
+
+    """
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
+    )
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in 'online' mode.
+
+    In this scenario we need to create an Engine
+    and associate a connection with the context.
+
+    """
+    connectable = engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    with connectable.connect() as connection:
+        context.configure(connection=connection, target_metadata=target_metadata)
+
+        with context.begin_transaction():
+            context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

src/backend/langflow/alembic/script.py.mako

@@ -0,0 +1,27 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+${imports if imports else ""}
+
+# revision identifiers, used by Alembic.
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}

src/backend/langflow/alembic/versions/0a534bdfd84b_remove_flowstyles_table.py

@@ -0,0 +1,42 @@
+"""Remove FlowStyles table
+
+Revision ID: 0a534bdfd84b
+Revises: 4814b6f4abfd
+Create Date: 2023-08-07 14:09:06.844104
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = "0a534bdfd84b"
+down_revision: Union[str, None] = "4814b6f4abfd"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("flowstyle")
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "flowstyle",
+        sa.Column("color", sa.VARCHAR(), nullable=False),
+        sa.Column("emoji", sa.VARCHAR(), nullable=False),
+        sa.Column("flow_id", sa.CHAR(length=32), nullable=True),
+        sa.Column("id", sa.CHAR(length=32), nullable=False),
+        sa.ForeignKeyConstraint(
+            ["flow_id"],
+            ["flow.id"],
+        ),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("id"),
+    )
+    # ### end Alembic commands ###

src/backend/langflow/alembic/versions/4814b6f4abfd_add_flow_table.py

@@ -0,0 +1,65 @@
+"""Add Flow table
+
+Revision ID: 4814b6f4abfd
+Revises:
+Create Date: 2023-08-05 17:47:42.879824
+
+"""
+
+import contextlib
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+
+
+# revision identifiers, used by Alembic.
+revision: str = "4814b6f4abfd"
+down_revision: Union[str, None] = None
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+
+    # This suppress is used to not break the migration if the table already exists.
+    with contextlib.suppress(sa.exc.OperationalError):
+        op.create_table(
+            "flow",
+            sa.Column("data", sa.JSON(), nullable=True),
+            sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+            sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.PrimaryKeyConstraint("id"),
+            sa.UniqueConstraint("id"),
+        )
+        op.create_index(
+            op.f("ix_flow_description"), "flow", ["description"], unique=False
+        )
+        op.create_index(op.f("ix_flow_name"), "flow", ["name"], unique=False)
+    with contextlib.suppress(sa.exc.OperationalError):
+        op.create_table(
+            "flowstyle",
+            sa.Column("color", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+            sa.Column("emoji", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+            sa.Column("flow_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.ForeignKeyConstraint(
+                ["flow_id"],
+                ["flow.id"],
+            ),
+            sa.PrimaryKeyConstraint("id"),
+            sa.UniqueConstraint("id"),
+        )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("flowstyle")
+    op.drop_index(op.f("ix_flow_name"), table_name="flow")
+    op.drop_index(op.f("ix_flow_description"), table_name="flow")
+    op.drop_table("flow")
+    # ### end Alembic commands ###

src/backend/langflow/api/router.py

@@ -5,7 +5,6 @@ from langflow.api.v1 import (
     endpoints_router,
     validate_router,
     flows_router,
-    flow_styles_router,
     component_router,
 )
 
@@ -17,4 +16,3 @@ router.include_router(endpoints_router)
 router.include_router(validate_router)
 router.include_router(component_router)
 router.include_router(flows_router)
-router.include_router(flow_styles_router)

src/backend/langflow/api/utils.py

@@ -66,3 +66,30 @@ def merge_nested_dicts(dict1, dict2):
         else:
             dict1[key] = value
     return dict1
+
+
+def merge_nested_dicts_with_renaming(dict1, dict2):
+    for key, value in dict2.items():
+        if (
+            key in dict1
+            and isinstance(value, dict)
+            and isinstance(dict1.get(key), dict)
+        ):
+            for sub_key, sub_value in value.items():
+                if sub_key in dict1[key]:
+                    new_key = get_new_key(dict1[key], sub_key)
+                    dict1[key][new_key] = sub_value
+                else:
+                    dict1[key][sub_key] = sub_value
+        else:
+            dict1[key] = value
+    return dict1
+
+
+def get_new_key(dictionary, original_key):
+    counter = 1
+    new_key = original_key + " (" + str(counter) + ")"
+    while new_key in dictionary:
+        counter += 1
+        new_key = original_key + " (" + str(counter) + ")"
+    return new_key

src/backend/langflow/api/v1/__init__.py

@@ -2,7 +2,6 @@ from langflow.api.v1.endpoints import router as endpoints_router
 from langflow.api.v1.validate import router as validate_router
 from langflow.api.v1.chat import router as chat_router
 from langflow.api.v1.flows import router as flows_router
-from langflow.api.v1.flow_styles import router as flow_styles_router
 from langflow.api.v1.components import router as component_router
 
 __all__ = [
@@ -11,5 +10,4 @@ __all__ = [
     "component_router",
     "validate_router",
     "flows_router",
-    "flow_styles_router",
 ]

src/backend/langflow/api/v1/chat.py

@@ -3,13 +3,13 @@ from fastapi.responses import StreamingResponse
 from langflow.api.utils import build_input_keys_response
 from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData
 
-from langflow.chat.manager import ChatManager
+from langflow.services import service_manager, ServiceType
 from langflow.graph.graph.base import Graph
 from langflow.utils.logger import logger
 from cachetools import LRUCache
 
 router = APIRouter(tags=["Chat"])
-chat_manager = ChatManager()
+
 flow_data_store: LRUCache = LRUCache(maxsize=10)
 
 
@@ -17,6 +17,7 @@ flow_data_store: LRUCache = LRUCache(maxsize=10)
 async def chat(client_id: str, websocket: WebSocket):
     """Websocket endpoint for chat."""
     try:
+        chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
         if client_id in chat_manager.in_memory_cache:
             await chat_manager.handle_websocket(client_id, websocket)
         else:
@@ -45,6 +46,7 @@ async def init_build(graph_data: dict, flow_id: str):
             return InitResponse(flowId=flow_id)
 
         # Delete from cache if already exists
+        chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
         if flow_id in chat_manager.in_memory_cache:
             with chat_manager.in_memory_cache._lock:
                 chat_manager.in_memory_cache.delete(flow_id)
@@ -155,12 +157,12 @@ async def stream_build(flow_id: str):
                 )
             else:
                 input_keys_response = {
-                    "input_keys": {},
+                    "input_keys": None,
                     "memory_keys": [],
                     "handle_keys": [],
                 }
             yield str(StreamData(event="message", data=input_keys_response))
-
+            chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
             chat_manager.set_cache(flow_id, langchain_object)
             # We need to reset the chat history
             chat_manager.chat_history.empty_history(flow_id)

src/backend/langflow/api/v1/components.py

@@ -1,8 +1,8 @@
 from datetime import timezone
 from typing import List
 from uuid import UUID
-from langflow.database.models.component import Component, ComponentModel
-from langflow.database.base import get_session
+from langflow.services.database.models.component import Component, ComponentModel
+from langflow.services.utils import get_session
 from sqlmodel import Session, select
 from fastapi import APIRouter, Depends, HTTPException
 from sqlalchemy.exc import IntegrityError