From 62ba6f1502d85fab2e00117c4322a96a860b9f95 Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Mon, 3 Jun 2024 15:31:45 -0700
Subject: [PATCH 1/6] Dependencies updated

---
 poetry.lock    | 1559 +++++++++++++++++++++++++++++++++---------------
 pyproject.toml |   12 +-
 2 files changed, 1087 insertions(+), 484 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index c94da48..a6d0dc6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,87 +2,87 @@
 
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -111,24 +111,24 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -161,13 +161,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -296,13 +296,13 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.6"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -320,24 +320,84 @@ files = [
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 ]
 
+[[package]]
+name = "dnspython"
+version = "2.6.1"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
+
+[[package]]
+name = "email-validator"
+version = "2.1.1"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
 [[package]]
 name = "fastapi"
-version = "0.110.1"
+version = "0.111.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+fastapi-cli = ">=0.0.2"
+httpx = ">=0.23.0"
+jinja2 = ">=2.11.2"
+orjson = ">=3.2.1"
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+python-multipart = ">=0.0.7"
 starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
+ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
+uvicorn = {version = ">=0.12.0", extras = ["standard"]}
+
+[package.extras]
+all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+
+[[package]]
+name = "fastapi-cli"
+version = "0.0.4"
+description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "fastapi_cli-0.0.4.tar.gz", hash = "sha256:e2e9ffaffc1f7767f488d6da34b6f5a377751c996f397902eb6abb99a67bde32"},
+]
+
+[package.dependencies]
+typer = ">=0.12.3"
 
 [package.extras]
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+standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "frozenlist"
@@ -528,6 +588,54 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 trio = ["trio (>=0.22.0,<0.26.0)"]
 
+[[package]]
+name = "httptools"
+version = "0.6.1"
+description = "A collection of framework independent HTTP protocol utils."
+optional = false
+python-versions = ">=3.8.0"
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+    {file = "httptools-0.6.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:95658c342529bba4e1d3d2b1a874db16c7cca435e8827422154c9da76ac4e13a"},
+    {file = "httptools-0.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ebaec1bf683e4bf5e9fbb49b8cc36da482033596a415b3e4ebab5a4c0d7ec5e"},
+    {file = "httptools-0.6.1.tar.gz", hash = "sha256:c6e26c30455600b95d94b1b836085138e82f177351454ee841c148f93a9bad5a"},
+]
+
+[package.extras]
+test = ["Cython (>=0.29.24,<0.30.0)"]
+
 [[package]]
 name = "httpx"
 version = "0.27.0"
@@ -554,15 +662,32 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.4"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -590,22 +715,19 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.1.14"
+version = "0.2.1"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain-0.2.1-py3-none-any.whl", hash = "sha256:3e13bf97c5717bce2c281f5117e8778823e8ccf62d949e73d3869448962b1c97"},
+    {file = "langchain-0.2.1.tar.gz", hash = "sha256:5758a315e1ac92eb26dafec5ad0fafa03cafa686aba197d5bb0b1dd28cc03ebe"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-dataclasses-json = ">=0.5.7,<0.7"
-jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.30,<0.1"
-langchain-core = ">=0.1.37,<0.2.0"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = ">=0.2.0,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
@@ -621,28 +743,29 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<6)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
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 javascript = ["esprima (>=4.0.1,<5.0.0)"]
 llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
+openai = ["openai (<2)", "tiktoken (>=0.7,<1.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.0.31"
+version = "0.2.1"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.0.31-py3-none-any.whl", hash = "sha256:905c01b978a1cef7fdcddd2d9241dedc9987db6f23ba1b58d974e38b1cdf2775"},
-    {file = "langchain_community-0.0.31.tar.gz", hash = "sha256:9a970bc2bb59bb4c204b696d8c62c2534f6ddb31005005cc1b7d7f934e58a5fc"},
+    {file = "langchain_community-0.2.1-py3-none-any.whl", hash = "sha256:b834e2c5ded6903b839fcaf566eee90a0ffae53405a0f7748202725e701d39cd"},
+    {file = "langchain_community-0.2.1.tar.gz", hash = "sha256:079942e8f15da975769ccaae19042b7bba5481c42020bbbd7d8cad73a9393261"},
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 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1.37,<0.2.0"
+langchain = ">=0.2.0,<0.3.0"
+langchain-core = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
@@ -652,22 +775,22 @@ tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
 cli = ["typer (>=0.9.0,<0.10.0)"]
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 [[package]]
 name = "langchain-core"
-version = "0.1.40"
+version = "0.2.3"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.40-py3-none-any.whl", hash = "sha256:618dbb7ab44d8b263b91e384db1ff07d0db256ae5bdafa0123a115b6a75a13f1"},
-    {file = "langchain_core-0.1.40.tar.gz", hash = "sha256:34c06fc0e6d3534b738c63f85403446b4be71161665b7e091f9bb19c914ec100"},
+    {file = "langchain_core-0.2.3-py3-none-any.whl", hash = "sha256:22189b5a3a30bfd65eb995f95e627f7c2c3acb322feb89f5f5f2fb7df21833a7"},
+    {file = "langchain_core-0.2.3.tar.gz", hash = "sha256:fbc75a64b9c0b7655d96ca57a707df1e6c09efc1539c36adbd73260612549810"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.0,<0.2.0"
+langsmith = ">=0.1.65,<0.2.0"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -678,46 +801,46 @@ extended-testing = ["jinja2 (>=3,<4)"]
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.1"
+version = "0.1.8"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langchain_openai-0.1.1.tar.gz", hash = "sha256:d10e9a9fc4c8ea99ca98f23808ce44c7dcdd65354ac07ad10afe874ecf3401ca"},
+    {file = "langchain_openai-0.1.8-py3-none-any.whl", hash = "sha256:8125c84223e9f43b05defbca64eedbcf362fd78a680de6c25e64f973b34a8063"},
+    {file = "langchain_openai-0.1.8.tar.gz", hash = "sha256:a11fcce15def7917c44232abda6baaa63dfc79fe44be1531eea650d39a44cd95"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.33,<0.2.0"
-openai = ">=1.10.0,<2.0.0"
-tiktoken = ">=0.5.2,<1"
+langchain-core = ">=0.2.2,<0.3"
+openai = ">=1.26.0,<2.0.0"
+tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.0.1"
+version = "0.2.0"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
-    {file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
+    {file = "langchain_text_splitters-0.2.0-py3-none-any.whl", hash = "sha256:7b4c6a45f8471630a882b321e138329b6897102a5bc62f4c12be1c0b05bb9199"},
+    {file = "langchain_text_splitters-0.2.0.tar.gz", hash = "sha256:b32ab4f7397f7d42c1fa3283fefc2547ba356bd63a68ee9092865e5ad83c82f9"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.28,<0.2.0"
+langchain-core = ">=0.2.0,<0.3.0"
 
 [package.extras]
-extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.40"
+version = "0.1.67"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.40-py3-none-any.whl", hash = "sha256:aa47d0f5a1eabd5c05ac6ce2cd3e28ccfc554d366e856a27b7c3c17c443881cb"},
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 ]
 
 [package.dependencies]
@@ -725,15 +848,108 @@ orjson = ">=3.9.14,<4.0.0"
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.8"
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+]
+
+[package.dependencies]
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+
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+code-style = ["pre-commit (>=3.0,<4.0)"]
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+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
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+]
+
 [[package]]
 name = "marshmallow"
-version = "3.21.1"
+version = "3.21.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
 ]
 
 [package.dependencies]
@@ -741,9 +957,20 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
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+]
+
 [[package]]
 name = "multidict"
 version = "6.0.5"
@@ -856,12 +1083,12 @@ files = [
 
 [[package]]
 name = "neo4j"
-version = "5.19.0"
+version = "5.20.0"
 description = "Neo4j Bolt driver for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "neo4j-5.20.0.tar.gz", hash = "sha256:c59e54a0c0fa1f109f1d2fa5293c29c2bb30ba388b4f9dd9656919793c10063a"},
 ]
 
 [package.dependencies]
@@ -919,13 +1146,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.16.2"
+version = "1.30.5"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -942,62 +1169,57 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "orjson"
-version = "3.10.0"
+version = "3.10.3"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -1194,115 +1458,101 @@ files = [
 
 [[package]]
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 description = "Alternative regular expression module, to replace re."
 optional = false
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 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
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+]
+
+[package.dependencies]
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+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
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 ]
 
 [package.dependencies]
@@ -1432,61 +1711,62 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
 name = "tenacity"
-version = "8.2.3"
+version = "8.3.0"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tiktoken"
-version = "0.6.0"
+version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1498,13 +1778,13 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -1516,15 +1796,32 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "typer"
+version = "0.12.3"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
 [[package]]
 name = "typing-extensions"
-version = "4.11.0"
+version = "4.12.1"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "typing_extensions-4.12.1-py3-none-any.whl", hash = "sha256:6024b58b69089e5a89c347397254e35f1bf02a907728ec7fee9bf0fe837d203a"},
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 ]
 
 [[package]]
@@ -1542,6 +1839,93 @@ files = [
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 typing-extensions = ">=3.7.4"
 
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+]
+
 [[package]]
 name = "urllib3"
 version = "2.2.1"
@@ -1561,22 +1945,241 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.29.0"
+version = "0.30.1"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 click = ">=7.0"
+colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
 h11 = ">=0.8"
+httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
+python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
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+[[package]]
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+optional = false
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+
 [[package]]
 name = "yarl"
 version = "1.9.4"
@@ -1683,4 +2286,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "b81a0ebef2fc0c5138a50831907095c4bc3a62f04079be4fd012a3a1f14485d4"
+content-hash = "f0e84185ea2695ac32096c0f6e30a99ff4e39286fa73b038beb519ba4c2f0631"
diff --git a/pyproject.toml b/pyproject.toml
index 1bca486..098da77 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,12 +11,12 @@ packages = [
 
 [tool.poetry.dependencies]
 python = "^3.11"
-fastapi = "^0.110.1"
-uvicorn = "^0.29.0"
-langchain-openai = "^0.1.1"
-langchain = "^0.1.14"
-langchain-community = "^0.0.31"
-neo4j = "^5.19.0"
+langchain = "^0.2.1"
+langchain-community = "^0.2.1"
+langchain-openai = "^0.1.8"
+fastapi = "^0.111.0"
+uvicorn = "^0.30.1"
+neo4j = "^5.20.0"
 
 
 [build-system]

From 18840b3ee7b57a551891d9d1bb366ff86fd0f5c9 Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Mon, 3 Jun 2024 15:32:01 -0700
Subject: [PATCH 2/6] Simple Neo4j exception handling added

---
 app/graph_chain.py  | 19 ++++++-------
 app/server.py       | 69 +++++++++++++++++++++++++++------------------
 app/vector_chain.py | 58 +++++++++++++++++++------------------
 3 files changed, 81 insertions(+), 65 deletions(-)

diff --git a/app/graph_chain.py b/app/graph_chain.py
index 09ec699..8a1bd28 100644
--- a/app/graph_chain.py
+++ b/app/graph_chain.py
@@ -41,6 +41,7 @@
     input_variables=["schema", "question"], template=CYPHER_GENERATION_TEMPLATE
 )
 
+
 def graph_chain() -> Runnable:
 
     NEO4J_URI = os.getenv("NEO4J_URI")
@@ -56,20 +57,18 @@ def graph_chain() -> Runnable:
         username=NEO4J_USERNAME,
         password=NEO4J_PASSWORD,
         database=NEO4J_DATABASE,
-        sanitize = True
+        sanitize=True,
     )
 
-    graph.refresh_schema()
-
     # Official API doc for GraphCypherQAChain at: https://api.python.langchain.com/en/latest/chains/langchain.chains.graph_qa.base.GraphQAChain.html#
     graph_chain = GraphCypherQAChain.from_llm(
-        cypher_llm = LLM,
-        qa_llm = LLM,
-        validate_cypher= True,
+        cypher_llm=LLM,
+        qa_llm=LLM,
+        validate_cypher=True,
         graph=graph,
-        verbose=True, 
-        return_intermediate_steps = True,
-        return_direct = True,
+        verbose=True,
+        return_intermediate_steps=True,
+        # return_direct = True,
     )
 
-    return graph_chain
\ No newline at end of file
+    return graph_chain
diff --git a/app/server.py b/app/server.py
index 3a6bd3b..f089311 100644
--- a/app/server.py
+++ b/app/server.py
@@ -3,27 +3,31 @@
 from app.graph_chain import graph_chain, CYPHER_GENERATION_PROMPT
 from app.vector_chain import vector_chain, VECTOR_PROMPT
 from app.simple_agent import simple_agent_chain
-from fastapi import FastAPI 
+from fastapi import FastAPI
 from typing import Union, Optional
 from pydantic import BaseModel, Field
 
 
 class ApiChatPostRequest(BaseModel):
-    message: str = Field(..., description='The chat message to send')
-    mode: str = Field('agent', description='The mode of the chat message. Current options are: "vector", "graph", "agent". Default is "agent"')
+    message: str = Field(..., description="The chat message to send")
+    mode: str = Field(
+        "agent",
+        description='The mode of the chat message. Current options are: "vector", "graph", "agent". Default is "agent"',
+    )
 
 
 class ApiChatPostResponse(BaseModel):
-    message: Optional[str] = Field(None, description='The chat message response')
+    message: Optional[str] = Field(None, description="The chat message response")
+
 
+app = FastAPI()
 
-app = FastAPI() 
 
 @app.post(
-    '/api/chat',
+    "/api/chat",
     response_model=None,
-    responses={'201': {'model': ApiChatPostResponse}},
-    tags=['chat'],
+    responses={"201": {"model": ApiChatPostResponse}},
+    tags=["chat"],
 )
 def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostResponse]:
     """
@@ -32,29 +36,40 @@ def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostRespon
 
     question = body.message
 
-    v_response = vector_chain().invoke(
-        {"question":question},
-        prompt = VECTOR_PROMPT,
-        return_only_outputs = True
-    )
-    g_response = graph_chain().invoke(
-        {"query":question},
-        prompt = CYPHER_GENERATION_PROMPT,
-        return_only_outputs = True
-    )
-    
-    if body.mode == 'vector':
+    # Simple exception check. See https://neo4j.com/docs/api/python-driver/current/api.html#errors for full set of driver exceptions
+    try:
+        v_response = vector_chain().invoke(
+            {"question": question}, prompt=VECTOR_PROMPT, return_only_outputs=True
+        )
+    except Exception as e:
+        msg = f"Problem running Neo4j vector chain. Check credentials and that the target Neo4j instance supports vector indexes (v5.11+) Exception: {e}"
+        return msg, 500
+
+    try:
+        g_response = graph_chain().invoke(
+            {"query": question},
+            prompt=CYPHER_GENERATION_PROMPT,
+            return_only_outputs=True,
+        )
+    except Exception as e:
+        msg = f"Problem running Neo4j graph chain. Check credentials and that the target Neo4j instance is running. Exception: {e}"
+        return msg, 500
+
+    if body.mode == "vector":
         # Return only the Vector answer
         response = v_response
-    elif body.mode == 'graph':
+    elif body.mode == "graph":
         # Return only the Graph (text2Cypher) answer
         response = g_response
     else:
+        print(f"vector response:{v_response}")
         # Return an answer from a chain that composites both the Vector and Graph responses
-        response = simple_agent_chain().invoke({
-            "question":question,
-            "vector_result":v_response,
-            "graph_result":g_response
-        })["text"]
+        response = simple_agent_chain().invoke(
+            {
+                "question": question,
+                "vector_result": v_response,
+                "graph_result": g_response,
+            }
+        )["text"]
 
-    return f"{response}", 200
\ No newline at end of file
+    return f"{response}", 200
diff --git a/app/vector_chain.py b/app/vector_chain.py
index 98ea877..5e3d111 100644
--- a/app/vector_chain.py
+++ b/app/vector_chain.py
@@ -1,5 +1,5 @@
 from langchain.prompts.prompt import PromptTemplate
-from langchain.vectorstores.neo4j_vector import Neo4jVector
+from langchain_community.vectorstores import Neo4jVector
 from langchain.chains import RetrievalQAWithSourcesChain
 from langchain.schema.runnable import Runnable
 from langchain_openai import ChatOpenAI, OpenAIEmbeddings
@@ -28,9 +28,10 @@
 Assistant:"""
 
 VECTOR_PROMPT = PromptTemplate(
-    input_variables=["input","context"], template=VECTOR_PROMPT_TEMPLATE
+    input_variables=["input", "context"], template=VECTOR_PROMPT_TEMPLATE
 )
 
+
 def vector_chain() -> Runnable:
 
     NEO4J_URI = os.getenv("NEO4J_URI")
@@ -50,7 +51,7 @@ def vector_chain() -> Runnable:
     # Neo4jVector API: https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.neo4j_vector.Neo4jVector.html#langchain_community.vectorstores.neo4j_vector.Neo4jVector
 
     try:
-        logging.debug(f'Attempting to retrieve existing vector index: {index_name}...')
+        logging.debug(f"Attempting to retrieve existing vector index: {index_name}...")
         vector_store = Neo4jVector.from_existing_index(
             embedding=EMBEDDINGS,
             url=NEO4J_URI,
@@ -60,36 +61,37 @@ def vector_chain() -> Runnable:
             index_name=index_name,
             embedding_node_property=node_property_name,
         )
-        logging.debug(f'Using existing index: {index_name}')
+        logging.debug(f"Using existing index: {index_name}")
     except:
-        logging.debug(f'No existing index found. Attempting to create a new vector index named {index_name}...')
-        try:
-            vector_store = Neo4jVector.from_existing_graph(
-                embedding=EMBEDDINGS,
-                url=NEO4J_URI,
-                username=NEO4J_USERNAME,
-                password=NEO4J_PASSWORD,
-                database=NEO4J_DATABASE,
-                index_name=index_name,
-                node_label="Chunk",
-                text_node_properties=["text"],
-                embedding_node_property=node_property_name,
-            )
-            logging.debug(f'Created new index: {index_name}')
-        except Exception as e:
-            logging.error(f'Failed to retrieve existing or to create a Neo4jVector: {e}')
-
-    if vector_store is None:
-        logging.error(f'Failed to retrieve or create a Neo4jVector. Exiting.')
-        exit()
+        logging.debug(
+            f"No existing index found. Attempting to create a new vector index named {index_name}..."
+        )
+
+        # Will raise an exception if credentials invalid, unable to connect, or Neo4j version doesn't support vector indexing
+        vector_store = Neo4jVector.from_existing_graph(
+            embedding=EMBEDDINGS,
+            url=NEO4J_URI,
+            username=NEO4J_USERNAME,
+            password=NEO4J_PASSWORD,
+            database=NEO4J_DATABASE,
+            index_name=index_name,
+            node_label="Chunk",
+            text_node_properties=["text"],
+            embedding_node_property=node_property_name,
+        )
+        logging.debug(f"Created new index: {index_name}")
+
+    # if vector_store is None:
+    #     logging.error(f"Failed to retrieve or create a Neo4jVector. Exiting.")
+    #     exit()
 
     vector_retriever = vector_store.as_retriever()
 
     vector_chain = RetrievalQAWithSourcesChain.from_chain_type(
         LLM,
-        chain_type="stuff", 
+        chain_type="stuff",
         retriever=vector_retriever,
-        reduce_k_below_max_tokens = True,
-        max_tokens_limit=2000
+        reduce_k_below_max_tokens=True,
+        max_tokens_limit=2000,
     )
-    return vector_chain
\ No newline at end of file
+    return vector_chain

From f6bd4ef7c19e3d995b38418195c3e3c6ab80c23c Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Mon, 3 Jun 2024 23:04:42 -0700
Subject: [PATCH 3/6] WIP

---
 app/server.py       | 12 ++++-----
 app/vector_chain.py | 62 +++++++++++++++++++++++----------------------
 2 files changed, 38 insertions(+), 36 deletions(-)

diff --git a/app/server.py b/app/server.py
index f089311..e5b6faf 100644
--- a/app/server.py
+++ b/app/server.py
@@ -3,7 +3,7 @@
 from app.graph_chain import graph_chain, CYPHER_GENERATION_PROMPT
 from app.vector_chain import vector_chain, VECTOR_PROMPT
 from app.simple_agent import simple_agent_chain
-from fastapi import FastAPI
+from fastapi import FastAPI, HTTPException
 from typing import Union, Optional
 from pydantic import BaseModel, Field
 
@@ -17,7 +17,7 @@ class ApiChatPostRequest(BaseModel):
 
 
 class ApiChatPostResponse(BaseModel):
-    message: Optional[str] = Field(None, description="The chat message response")
+    response: str
 
 
 app = FastAPI()
@@ -29,7 +29,7 @@ class ApiChatPostResponse(BaseModel):
     responses={"201": {"model": ApiChatPostResponse}},
     tags=["chat"],
 )
-def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostResponse]:
+def send_chat_message(body: ApiChatPostRequest):
     """
     Send a chat message
     """
@@ -43,7 +43,7 @@ def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostRespon
         )
     except Exception as e:
         msg = f"Problem running Neo4j vector chain. Check credentials and that the target Neo4j instance supports vector indexes (v5.11+) Exception: {e}"
-        return msg, 500
+        raise HTTPException(status_code=500, detail=msg)
 
     try:
         g_response = graph_chain().invoke(
@@ -53,7 +53,7 @@ def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostRespon
         )
     except Exception as e:
         msg = f"Problem running Neo4j graph chain. Check credentials and that the target Neo4j instance is running. Exception: {e}"
-        return msg, 500
+        raise HTTPException(status_code=500, detail=msg)
 
     if body.mode == "vector":
         # Return only the Vector answer
@@ -72,4 +72,4 @@ def send_chat_message(body: ApiChatPostRequest) -> Union[None, ApiChatPostRespon
             }
         )["text"]
 
-    return f"{response}", 200
+    return ApiChatPostResponse(response == response)
diff --git a/app/vector_chain.py b/app/vector_chain.py
index 5e3d111..3b72d30 100644
--- a/app/vector_chain.py
+++ b/app/vector_chain.py
@@ -50,36 +50,38 @@ def vector_chain() -> Runnable:
 
     # Neo4jVector API: https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.neo4j_vector.Neo4jVector.html#langchain_community.vectorstores.neo4j_vector.Neo4jVector
 
-    try:
-        logging.debug(f"Attempting to retrieve existing vector index: {index_name}...")
-        vector_store = Neo4jVector.from_existing_index(
-            embedding=EMBEDDINGS,
-            url=NEO4J_URI,
-            username=NEO4J_USERNAME,
-            password=NEO4J_PASSWORD,
-            database=NEO4J_DATABASE,
-            index_name=index_name,
-            embedding_node_property=node_property_name,
-        )
-        logging.debug(f"Using existing index: {index_name}")
-    except:
-        logging.debug(
-            f"No existing index found. Attempting to create a new vector index named {index_name}..."
-        )
-
-        # Will raise an exception if credentials invalid, unable to connect, or Neo4j version doesn't support vector indexing
-        vector_store = Neo4jVector.from_existing_graph(
-            embedding=EMBEDDINGS,
-            url=NEO4J_URI,
-            username=NEO4J_USERNAME,
-            password=NEO4J_PASSWORD,
-            database=NEO4J_DATABASE,
-            index_name=index_name,
-            node_label="Chunk",
-            text_node_properties=["text"],
-            embedding_node_property=node_property_name,
-        )
-        logging.debug(f"Created new index: {index_name}")
+    # try:
+    logging.debug(
+        f"Attempting to retrieve existing vector index'{index_name}' from Neo4j instance at {NEO4J_URI}..."
+    )
+    vector_store = Neo4jVector.from_existing_index(
+        embedding=EMBEDDINGS,
+        url=NEO4J_URI,
+        username=NEO4J_USERNAME,
+        password=NEO4J_PASSWORD,
+        database=NEO4J_DATABASE,
+        index_name=index_name,
+        embedding_node_property=node_property_name,
+    )
+    logging.debug(f"Using existing index: {index_name}")
+    # except:
+    #     logging.debug(
+    #         f"No existing index found. Attempting to create a new vector index named {index_name}..."
+    #     )
+
+    #     # Will raise an exception if credentials invalid, unable to connect, or Neo4j version doesn't support vector indexing
+    #     vector_store = Neo4jVector.from_existing_graph(
+    #         embedding=EMBEDDINGS,
+    #         url=NEO4J_URI,
+    #         username=NEO4J_USERNAME,
+    #         password=NEO4J_PASSWORD,
+    #         database=NEO4J_DATABASE,
+    #         index_name=index_name,
+    #         node_label="Chunk",
+    #         text_node_properties=["text"],
+    #         embedding_node_property=node_property_name,
+    #     )
+    #     logging.debug(f"Created new index: {index_name}")
 
     # if vector_store is None:
     #     logging.error(f"Failed to retrieve or create a Neo4jVector. Exiting.")

From eeec7c0f3fc54b85ca61c4eb9fb549ad5abc1a5f Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Tue, 4 Jun 2024 12:00:10 -0700
Subject: [PATCH 4/6] Replaced deprecated LLMChain implementation

---
 app/simple_agent.py | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/app/simple_agent.py b/app/simple_agent.py
index 8e41bca..40a3d55 100644
--- a/app/simple_agent.py
+++ b/app/simple_agent.py
@@ -1,13 +1,19 @@
-from langchain.chains import LLMChain
 from langchain.chains.conversation.memory import ConversationBufferMemory
 from langchain.prompts import PromptTemplate
 from langchain.schema.runnable import Runnable
 from langchain_openai import ChatOpenAI
+from langchain_core.prompts import PromptTemplate
 import os
 
+
 def simple_agent_chain() -> Runnable:
 
-    MEMORY = ConversationBufferMemory(memory_key="agent_history", input_key='question', output_key='text', return_messages=True)
+    MEMORY = ConversationBufferMemory(
+        memory_key="agent_history",
+        input_key="question",
+        output_key="text",
+        return_messages=True,
+    )
 
     final_prompt = """You are a helpful question-answering agent. Your task is to analyze 
     and synthesize information from two sources: the top result from a similarity search 
@@ -24,9 +30,6 @@ def simple_agent_chain() -> Runnable:
     OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
     LLM = ChatOpenAI(temperature=0, openai_api_key=OPENAI_API_KEY)
 
-    simple_agent_chain = LLMChain(
-        prompt=prompt, 
-        llm=LLM,
-        memory = MEMORY)
-    
-    return simple_agent_chain
\ No newline at end of file
+    simple_agent_chain = prompt | LLM
+
+    return simple_agent_chain

From f461d67acdebfcacc2ca88501e839a56dfbf1bfe Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Wed, 5 Jun 2024 10:27:21 -0700
Subject: [PATCH 5/6] Simple agent replaced deprecated LLMChain + CORs + Neo4j
 Exception middleware added to FastAPI

---
 app/graph_chain.py  |  2 ++
 app/server.py       | 81 +++++++++++++++++++++++++++++++--------------
 app/simple_agent.py | 18 +++++-----
 app/vector_chain.py | 28 ++--------------
 pyproject.toml      |  2 +-
 5 files changed, 70 insertions(+), 61 deletions(-)

diff --git a/app/graph_chain.py b/app/graph_chain.py
index 8a1bd28..bc5f9b5 100644
--- a/app/graph_chain.py
+++ b/app/graph_chain.py
@@ -60,6 +60,8 @@ def graph_chain() -> Runnable:
         sanitize=True,
     )
 
+    graph.refresh_schema()
+
     # Official API doc for GraphCypherQAChain at: https://api.python.langchain.com/en/latest/chains/langchain.chains.graph_qa.base.GraphQAChain.html#
     graph_chain = GraphCypherQAChain.from_llm(
         cypher_llm=LLM,
diff --git a/app/server.py b/app/server.py
index e5b6faf..c4c4671 100644
--- a/app/server.py
+++ b/app/server.py
@@ -1,11 +1,12 @@
 from __future__ import annotations
-from typing import Union
 from app.graph_chain import graph_chain, CYPHER_GENERATION_PROMPT
 from app.vector_chain import vector_chain, VECTOR_PROMPT
 from app.simple_agent import simple_agent_chain
-from fastapi import FastAPI, HTTPException
-from typing import Union, Optional
+from fastapi import FastAPI, Request, Response
+from fastapi.middleware.cors import CORSMiddleware
+from starlette.middleware.base import BaseHTTPMiddleware
 from pydantic import BaseModel, Field
+from neo4j import exceptions
 
 
 class ApiChatPostRequest(BaseModel):
@@ -20,8 +21,40 @@ class ApiChatPostResponse(BaseModel):
     response: str
 
 
+class Neo4jExceptionMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next):
+        try:
+            response = await call_next(request)
+            return response
+        except exceptions.AuthError as e:
+            msg = f"Neo4j Authentication Error: {e}"
+            return Response(content=msg, status_code=400)
+        except exceptions.ServiceUnavailable as e:
+            msg = f"Neo4j Database Unavailable Error: {e}"
+            return Response(content=msg, status_code=400)
+        except Exception as e:
+            return Response(content=str(e), status_code=400)
+
+
+# Allowed CORS origins
+origins = [
+    "http://127.0.0.1",  # Alternative localhost address
+    "http://localhost",
+]
+
 app = FastAPI()
 
+# Add CORS middleware to allow cross-origin requests
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+# Add Neo4j exception handling middleware
+app.add_middleware(Neo4jExceptionMiddleware)
+
 
 @app.post(
     "/api/chat",
@@ -37,39 +70,39 @@ def send_chat_message(body: ApiChatPostRequest):
     question = body.message
 
     # Simple exception check. See https://neo4j.com/docs/api/python-driver/current/api.html#errors for full set of driver exceptions
-    try:
+
+    if body.mode == "vector":
+        # Return only the Vector answer
         v_response = vector_chain().invoke(
-            {"question": question}, prompt=VECTOR_PROMPT, return_only_outputs=True
+            {"query": question}, prompt=VECTOR_PROMPT, return_only_outputs=True
         )
-    except Exception as e:
-        msg = f"Problem running Neo4j vector chain. Check credentials and that the target Neo4j instance supports vector indexes (v5.11+) Exception: {e}"
-        raise HTTPException(status_code=500, detail=msg)
-
-    try:
+        response = v_response
+    elif body.mode == "graph":
+        # Return only the Graph (text2Cypher) answer
         g_response = graph_chain().invoke(
             {"query": question},
             prompt=CYPHER_GENERATION_PROMPT,
             return_only_outputs=True,
         )
-    except Exception as e:
-        msg = f"Problem running Neo4j graph chain. Check credentials and that the target Neo4j instance is running. Exception: {e}"
-        raise HTTPException(status_code=500, detail=msg)
-
-    if body.mode == "vector":
-        # Return only the Vector answer
-        response = v_response
-    elif body.mode == "graph":
-        # Return only the Graph (text2Cypher) answer
-        response = g_response
+        response = g_response["result"]
     else:
-        print(f"vector response:{v_response}")
-        # Return an answer from a chain that composites both the Vector and Graph responses
+        # Return both vector + graph answers
+        v_response = vector_chain().invoke(
+            {"query": question}, prompt=VECTOR_PROMPT, return_only_outputs=True
+        )
+        g_response = graph_chain().invoke(
+            {"query": question},
+            prompt=CYPHER_GENERATION_PROMPT,
+            return_only_outputs=True,
+        )["result"]
+
+        # Synthesize a composite of both the Vector and Graph responses
         response = simple_agent_chain().invoke(
             {
                 "question": question,
                 "vector_result": v_response,
                 "graph_result": g_response,
             }
-        )["text"]
+        )
 
-    return ApiChatPostResponse(response == response)
+    return response, 200
diff --git a/app/simple_agent.py b/app/simple_agent.py
index 40a3d55..ae6df98 100644
--- a/app/simple_agent.py
+++ b/app/simple_agent.py
@@ -1,20 +1,14 @@
-from langchain.chains.conversation.memory import ConversationBufferMemory
+from langchain_core.output_parsers import StrOutputParser
 from langchain.prompts import PromptTemplate
 from langchain.schema.runnable import Runnable
 from langchain_openai import ChatOpenAI
+from langchain.chains import ConversationChain
 from langchain_core.prompts import PromptTemplate
 import os
 
 
 def simple_agent_chain() -> Runnable:
 
-    MEMORY = ConversationBufferMemory(
-        memory_key="agent_history",
-        input_key="question",
-        output_key="text",
-        return_messages=True,
-    )
-
     final_prompt = """You are a helpful question-answering agent. Your task is to analyze 
     and synthesize information from two sources: the top result from a similarity search 
     (unstructured information) and relevant data from a graph database (structured information). 
@@ -25,11 +19,15 @@ def simple_agent_chain() -> Runnable:
     Structured information: {graph_result}.
     """
 
-    prompt = PromptTemplate.from_template(final_prompt)
+    prompt = PromptTemplate(
+        input_variables=["question", "vector_result", "graph_result"],
+        template=final_prompt,
+    )
 
     OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
     LLM = ChatOpenAI(temperature=0, openai_api_key=OPENAI_API_KEY)
+    output_parser = StrOutputParser()
 
-    simple_agent_chain = prompt | LLM
+    simple_agent_chain = prompt | LLM | output_parser
 
     return simple_agent_chain
diff --git a/app/vector_chain.py b/app/vector_chain.py
index 3b72d30..c4ed667 100644
--- a/app/vector_chain.py
+++ b/app/vector_chain.py
@@ -1,6 +1,6 @@
 from langchain.prompts.prompt import PromptTemplate
 from langchain_community.vectorstores import Neo4jVector
-from langchain.chains import RetrievalQAWithSourcesChain
+from langchain.chains import RetrievalQAWithSourcesChain, RetrievalQA
 from langchain.schema.runnable import Runnable
 from langchain_openai import ChatOpenAI, OpenAIEmbeddings
 import logging
@@ -64,36 +64,12 @@ def vector_chain() -> Runnable:
         embedding_node_property=node_property_name,
     )
     logging.debug(f"Using existing index: {index_name}")
-    # except:
-    #     logging.debug(
-    #         f"No existing index found. Attempting to create a new vector index named {index_name}..."
-    #     )
-
-    #     # Will raise an exception if credentials invalid, unable to connect, or Neo4j version doesn't support vector indexing
-    #     vector_store = Neo4jVector.from_existing_graph(
-    #         embedding=EMBEDDINGS,
-    #         url=NEO4J_URI,
-    #         username=NEO4J_USERNAME,
-    #         password=NEO4J_PASSWORD,
-    #         database=NEO4J_DATABASE,
-    #         index_name=index_name,
-    #         node_label="Chunk",
-    #         text_node_properties=["text"],
-    #         embedding_node_property=node_property_name,
-    #     )
-    #     logging.debug(f"Created new index: {index_name}")
-
-    # if vector_store is None:
-    #     logging.error(f"Failed to retrieve or create a Neo4jVector. Exiting.")
-    #     exit()
 
     vector_retriever = vector_store.as_retriever()
 
-    vector_chain = RetrievalQAWithSourcesChain.from_chain_type(
+    vector_chain = RetrievalQA.from_chain_type(
         LLM,
         chain_type="stuff",
         retriever=vector_retriever,
-        reduce_k_below_max_tokens=True,
-        max_tokens_limit=2000,
     )
     return vector_chain
diff --git a/pyproject.toml b/pyproject.toml
index 098da77..859a14a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-starter-kit"
-version = "0.1.0"
+version = "0.1.1"
 description = ""
 authors = ["jalakoo <jalakoo@gmail.com>"]
 license = "Apache 2.0"

From 11b6bf8861d134b81b25601c4cee5d6d194bedf3 Mon Sep 17 00:00:00 2001
From: jalakoo <jalakoo@gmail.com>
Date: Wed, 5 Jun 2024 10:39:05 -0700
Subject: [PATCH 6/6] Corrected Neo4j exception handling to properly print
 error message

---
 README.md     | 36 ++++++++++++++++++++++++++++--------
 app/server.py | 17 +++++++++++------
 2 files changed, 39 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index f36da53..08c335b 100644
--- a/README.md
+++ b/README.md
@@ -1,17 +1,32 @@
 # Neo4j LangChain Starter Kit
-This kit provides a simple [FastAPI](https://fastapi.tiangolo.com/) backend service connected to [OpenAI](https://platform.openai.com/docs/overview) and [Neo4j](https://neo4j.com/developer/) for powering GenAI projects. The Neo4j interface leverages both [Vector Indexes](https://python.langchain.com/docs/integrations/vectorstores/neo4jvector) and [Text2Cypher](https://python.langchain.com/docs/use_cases/graph/integrations/graph_cypher_qa) chains to provide more accurate results. 
 
-![alt text](https://res.cloudinary.com/dk0tizgdn/image/upload/v1711042573/langchain_starter_kit_sample_jgvnfb.gif "Testing Neo4j LangChain Starter Kit")
+This kit provides a simple [FastAPI](https://fastapi.tiangolo.com/) backend service connected to [OpenAI](https://platform.openai.com/docs/overview) and [Neo4j](https://neo4j.com/developer/) for powering GenAI projects. The Neo4j interface leverages both [Vector Indexes](https://python.langchain.com/docs/integrations/vectorstores/neo4jvector) and [Text2Cypher](https://python.langchain.com/docs/use_cases/graph/integrations/graph_cypher_qa) chains to provide more accurate results.
 
+![alt text](https://res.cloudinary.com/dk0tizgdn/image/upload/v1711042573/langchain_starter_kit_sample_jgvnfb.gif "Testing Neo4j LangChain Starter Kit")
 
 ## Requirements
+
 - [Poetry](https://python-poetry.org/) for virtual enviroment management
 - [LangChain](https://python.langchain.com/docs/get_started/introduction)
 - An [OpenAI API Key](https://openai.com/blog/openai-api)
 - A running [local](https://neo4j.com/download/) or [cloud](https://neo4j.com/cloud/platform/aura-graph-database/) Neo4j database
 
-
 ## Usage
+
+Add a .env file to the root folder with the following keys and your own credentials (or these included public access only creds):
+
+```
+NEO4J_URI=neo4j+ssc://9fcf58c6.databases.neo4j.io
+NEO4J_DATABASE=neo4j
+NEO4J_USERNAME=public
+NEO4J_PASSWORD=read_only
+OPENAI_API_KEY=<your_openai_key_here>
+```
+
+Then run: `poetry run uvicorn app.server:app --reload --port=8000 `
+
+Or add env variables at runtime:
+
 ```
 NEO4J_URI=neo4j+ssc://9fcf58c6.databases.neo4j.io \
 NEO4J_DATABASE=neo4j \
@@ -21,24 +36,26 @@ OPENAI_API_KEY=<add_your_openai_key_here> \
 poetry run uvicorn app.server:app --reload --port=8000 --log-config=log_conf.yaml
 ```
 
-*NOTE* the above Neo4j credentials are for read-only access to a hosted sample dataset. Your own OpenAI api key will be needed to run this server. 
-
-*NOTE* the `NEO4J_URI` value can use either the neo4j or [bolt](https://neo4j.com/docs/bolt/current/bolt/) uri scheme. For more details on which to use, see this [example](https://neo4j.com/docs/driver-manual/4.0/client-applications/#driver-configuration-examples)
+_NOTE_ the above Neo4j credentials are for read-only access to a hosted sample dataset. Your own OpenAI api key will be needed to run this server.
 
+_NOTE_ the `NEO4J_URI` value can use either the neo4j or [bolt](https://neo4j.com/docs/bolt/current/bolt/) uri scheme. For more details on which to use, see this [example](https://neo4j.com/docs/driver-manual/4.0/client-applications/#driver-configuration-examples)
 
 A FastAPI server should now be running on your local port 8000/api/chat.
 
 ## Custom Database Setup
+
 If you would like to load your own instance with a subset of this information. Add your own OpenAI key to the Cypher code in the [edgar_import.cypher](edgar_import.cypher) file and run it in your instance's [Neo4j browser](https://neo4j.com/docs/browser-manual/current/).
 
 For more information on how this load script works, see [this notebook](https://github.com/neo4j-examples/sec-edgar-notebooks/blob/main/notebooks/kg-construction/1-mvg.ipynb).
 
-
 ## Docs
+
 FastAPI will make endpoint information and the ability to test from a browser at http://localhost:8000/docs
 
 ## Testing
+
 Alternatively, after the server is running, a curl command can be triggered to test the endpoint:
+
 ```
 curl --location 'http://127.0.0.1:8000/api/chat' \
 --header 'Content-Type: application/json' \
@@ -47,10 +64,13 @@ curl --location 'http://127.0.0.1:8000/api/chat' \
 ```
 
 ## Feedback
+
 Please provide feedback and report bugs as [GitHub issues](https://github.com/neo4j-examples/langchain-starter-kit/issues)
 
 ## Contributing
+
 Want to improve this kit? See the [contributing guide](./CONTRIBUTING.md)
 
 ## Learn More
-At [Neo4j GraphAcademy](https://graphacademy.neo4j.com), we offer a wide range of courses completely free of charge, including [Neo4j & LLM Fundamentals](https://graphacademy.neo4j.com/courses/llm-fundamentals/) and [Build a Neo4j-backed Chatbot using Python](https://graphacademy.neo4j.com/courses/llm-chatbot-python/).
\ No newline at end of file
+
+At [Neo4j GraphAcademy](https://graphacademy.neo4j.com), we offer a wide range of courses completely free of charge, including [Neo4j & LLM Fundamentals](https://graphacademy.neo4j.com/courses/llm-fundamentals/) and [Build a Neo4j-backed Chatbot using Python](https://graphacademy.neo4j.com/courses/llm-chatbot-python/).
diff --git a/app/server.py b/app/server.py
index c4c4671..c4fdc0c 100644
--- a/app/server.py
+++ b/app/server.py
@@ -7,6 +7,7 @@
 from starlette.middleware.base import BaseHTTPMiddleware
 from pydantic import BaseModel, Field
 from neo4j import exceptions
+import logging
 
 
 class ApiChatPostRequest(BaseModel):
@@ -28,18 +29,22 @@ async def dispatch(self, request: Request, call_next):
             return response
         except exceptions.AuthError as e:
             msg = f"Neo4j Authentication Error: {e}"
-            return Response(content=msg, status_code=400)
+            logging.warning(msg)
+            return Response(content=msg, status_code=400, media_type="text/plain")
         except exceptions.ServiceUnavailable as e:
             msg = f"Neo4j Database Unavailable Error: {e}"
-            return Response(content=msg, status_code=400)
+            logging.warning(msg)
+            return Response(content=msg, status_code=400, media_type="text/plain")
         except Exception as e:
-            return Response(content=str(e), status_code=400)
+            msg = f"Neo4j Uncaught Exception: {e}"
+            logging.error(msg)
+            return Response(content=msg, status_code=400, media_type="text/plain")
 
 
 # Allowed CORS origins
 origins = [
-    "http://127.0.0.1",  # Alternative localhost address
-    "http://localhost",
+    "http://127.0.0.1:8000",  # Alternative localhost address
+    "http://localhost:8000",
 ]
 
 app = FastAPI()
@@ -62,7 +67,7 @@ async def dispatch(self, request: Request, call_next):
     responses={"201": {"model": ApiChatPostResponse}},
     tags=["chat"],
 )
-def send_chat_message(body: ApiChatPostRequest):
+async def send_chat_message(body: ApiChatPostRequest):
     """
     Send a chat message
     """