diff --git a/poetry.lock b/poetry.lock
index 8b948d207..87713315e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -280,6 +280,17 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
+[[package]]
+name = "backports-strenum"
+version = "1.3.1"
+description = "Base class for creating enumerated constants that are also subclasses of str"
+optional = false
+python-versions = ">=3.8.6,<3.11"
+files = [
+    {file = "backports_strenum-1.3.1-py3-none-any.whl", hash = "sha256:cdcfe36dc897e2615dc793b7d3097f54d359918fc448754a517e6f23044ccf83"},
+    {file = "backports_strenum-1.3.1.tar.gz", hash = "sha256:77c52407342898497714f0596e86188bb7084f89063226f4ba66863482f42414"},
+]
+
 [[package]]
 name = "bcrypt"
 version = "4.1.3"
@@ -343,17 +354,17 @@ lxml = ["lxml"]
 
 [[package]]
 name = "boto3"
-version = "1.34.140"
+version = "1.34.144"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.140-py3-none-any.whl", hash = "sha256:23ca8d8f7a30c3bbd989808056b5fc5d68ff5121c02c722c6167b6b1bb7f8726"},
-    {file = "boto3-1.34.140.tar.gz", hash = "sha256:578bbd5e356005719b6b610d03edff7ea1b0824d078afe62d3fb8bea72f83a87"},
+    {file = "boto3-1.34.144-py3-none-any.whl", hash = "sha256:b8433d481d50b68a0162c0379c0dd4aabfc3d1ad901800beb5b87815997511c1"},
+    {file = "boto3-1.34.144.tar.gz", hash = "sha256:2f3e88b10b8fcc5f6100a9d74cd28230edc9d4fa226d99dd40a3ab38ac213673"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.140,<1.35.0"
+botocore = ">=1.34.144,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -362,13 +373,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.140"
+version = "1.34.144"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.140-py3-none-any.whl", hash = "sha256:43940d3a67d946ba3301631ba4078476a75f1015d4fb0fb0272d0b754b2cf9de"},
-    {file = "botocore-1.34.140.tar.gz", hash = "sha256:86302b2226c743b9eec7915a4c6cfaffd338ae03989cd9ee181078ef39d1ab39"},
+    {file = "botocore-1.34.144-py3-none-any.whl", hash = "sha256:a2cf26e1bf10d5917a2285e50257bc44e94a1d16574f282f3274f7a5d8d1f08b"},
+    {file = "botocore-1.34.144.tar.gz", hash = "sha256:4215db28d25309d59c99507f1f77df9089e5bebbad35f6e19c7c44ec5383a3e8"},
 ]
 
 [package.dependencies]
@@ -406,13 +417,13 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.3"
+version = "5.4.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
-    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
+    {file = "cachetools-5.4.0-py3-none-any.whl", hash = "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474"},
+    {file = "cachetools-5.4.0.tar.gz", hash = "sha256:b8adc2e7c07f105ced7bc56dbb6dfbe7c4a00acce20e2227b3f355be89bc6827"},
 ]
 
 [[package]]
@@ -721,13 +732,13 @@ uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
 [[package]]
 name = "clarifai"
-version = "10.5.3"
+version = "10.5.4"
 description = "Clarifai Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "clarifai-10.5.3-py3-none-any.whl", hash = "sha256:884a0d0ffc36b7e1513a3ebe054716e8f735cd1e6b8ee57397cfa42d81781b24"},
-    {file = "clarifai-10.5.3.tar.gz", hash = "sha256:1ed262e84a8a204be4525acfd101753dc1672bf1f2c86ba3302873741c527126"},
+    {file = "clarifai-10.5.4-py3-none-any.whl", hash = "sha256:56cc5c0f2a735aa90990c23e9cc2698ce531491d970b0c0f86fb6c107bc1592f"},
+    {file = "clarifai-10.5.4.tar.gz", hash = "sha256:bf2d377dfe8fa7704a666cef7b8b564654c6fced4ef3a83a78b38a6c8bb1847c"},
 ]
 
 [package.dependencies]
@@ -747,13 +758,13 @@ all = ["pycocotools (==2.0.6)"]
 
 [[package]]
 name = "clarifai-grpc"
-version = "10.6.1"
+version = "10.6.4"
 description = "Clarifai gRPC API Client"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "clarifai_grpc-10.6.1-py3-none-any.whl", hash = "sha256:7f07c262f46042995b11af10cdd552718c4487e955db1b3f1253fcb0c2ab1ce1"},
-    {file = "clarifai_grpc-10.6.1.tar.gz", hash = "sha256:f692e3d6a051a1228ca371c3a9dc705cc9a61334eecc454d056f7af0b6f4dbad"},
+    {file = "clarifai_grpc-10.6.4-py3-none-any.whl", hash = "sha256:9fb8c94e6ede5e1005010643f516aa7c1dd3c59ab9282e03ba4932fd929d7584"},
+    {file = "clarifai_grpc-10.6.4.tar.gz", hash = "sha256:84d92b10fc32c17ecf0c0fc30ec4c9960a6a9ee701f2829f0c372892ae761d14"},
 ]
 
 [package.dependencies]
@@ -778,13 +789,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cohere"
-version = "5.5.8"
+version = "5.6.1"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "cohere-5.5.8-py3-none-any.whl", hash = "sha256:e1ed84b90eadd13c6a68ee28e378a0bb955f8945eadc6eb7ee126b3399cafd54"},
-    {file = "cohere-5.5.8.tar.gz", hash = "sha256:84ce7666ff8fbdf4f41fb5f6ca452ab2639a514bc88967a2854a9b1b820d6ea0"},
+    {file = "cohere-5.6.1-py3-none-any.whl", hash = "sha256:1c8bcd39a54622d64b83cafb865f102cd2565ce091b0856fd5ce11bf7169109a"},
+    {file = "cohere-5.6.1.tar.gz", hash = "sha256:5d7efda64f0e512d4cc35aa04b17a6f74b3d8c175a99f2797991a7f31dfac349"},
 ]
 
 [package.dependencies]
@@ -1118,13 +1129,13 @@ youtube = ["youtube-transcript-api (>=0.6.1,<0.7.0)", "yt_dlp (>=2023.11.14,<202
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
-    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [package.extras]
@@ -1132,13 +1143,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.111.0"
+version = "0.111.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.111.0-py3-none-any.whl", hash = "sha256:97ecbf994be0bcbdadedf88c3150252bed7b2087075ac99735403b1b76cc8fc0"},
-    {file = "fastapi-0.111.0.tar.gz", hash = "sha256:b9db9dd147c91cb8b769f7183535773d8741dd46f9dc6676cd82eab510228cd7"},
+    {file = "fastapi-0.111.1-py3-none-any.whl", hash = "sha256:4f51cfa25d72f9fbc3280832e84b32494cf186f50158d364a8765aabf22587bf"},
+    {file = "fastapi-0.111.1.tar.gz", hash = "sha256:ddd1ac34cb1f76c2e2d7f8545a4bcb5463bce4834e81abf0b189e0c359ab2413"},
 ]
 
 [package.dependencies]
@@ -1146,12 +1157,10 @@ email_validator = ">=2.0.0"
 fastapi-cli = ">=0.0.2"
 httpx = ">=0.23.0"
 jinja2 = ">=2.11.2"
-orjson = ">=3.2.1"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
 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]
@@ -1176,42 +1185,42 @@ standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "fastavro"
-version = "1.9.4"
+version = "1.9.5"
 description = "Fast read/write of AVRO files"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "fastavro-1.9.5-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:88fbbe16c61d90a89d78baeb5a34dc1c63a27b115adccdbd6b1fb6f787deacf2"},
+    {file = "fastavro-1.9.5-cp39-cp39-win_amd64.whl", hash = "sha256:753f5eedeb5ca86004e23a9ce9b41c5f25eb64a876f95edcc33558090a7f3e4b"},
+    {file = "fastavro-1.9.5.tar.gz", hash = "sha256:6419ebf45f88132a9945c51fe555d4f10bb97c236288ed01894f957c6f914553"},
 ]
 
 [package.extras]
@@ -1422,13 +1431,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.31.0"
+version = "2.32.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.31.0.tar.gz", hash = "sha256:87805c36970047247c8afe614d4e3af8eceafc1ebba0c679fe75ddd1d575e871"},
-    {file = "google_auth-2.31.0-py2.py3-none-any.whl", hash = "sha256:042c4702efa9f7d3c48d3a69341c209381b125faa6dbf3ebe56bc7e40ae05c23"},
+    {file = "google_auth-2.32.0-py2.py3-none-any.whl", hash = "sha256:53326ea2ebec768070a94bee4e1b9194c9646ea0c2bd72422785bd0f9abfad7b"},
+    {file = "google_auth-2.32.0.tar.gz", hash = "sha256:49315be72c55a6a37d62819e3573f6b416aca00721f7e3e31a008d928bf64022"},
 ]
 
 [package.dependencies]
@@ -1445,13 +1454,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.58.0"
+version = "1.59.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.58.0.tar.gz", hash = "sha256:7a05aceac4a6c7eaa26e684e9f202b829cc7e57f82bffe7281684275a553fcad"},
-    {file = "google_cloud_aiplatform-1.58.0-py2.py3-none-any.whl", hash = "sha256:21f1320860f4916183ec939fdf2ff3fc1d7fdde97fe5795974257ab21f9458ec"},
+    {file = "google-cloud-aiplatform-1.59.0.tar.gz", hash = "sha256:2bebb59c0ba3e3b4b568305418ca1b021977988adbee8691a5bed09b037e7e63"},
+    {file = "google_cloud_aiplatform-1.59.0-py2.py3-none-any.whl", hash = "sha256:549e6eb1844b0f853043309138ebe2db00de4bbd8197b3bde26804ac163ef52a"},
 ]
 
 [package.dependencies]
@@ -1462,7 +1471,7 @@ google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev"
 google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
 google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
-proto-plus = ">=1.22.0,<2.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 pydantic = "<3"
 shapely = "<3.0.0dev"
@@ -1542,13 +1551,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.3"
+version = "1.12.4"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-resource-manager-1.12.3.tar.gz", hash = "sha256:809851824119834e4f2310b2c4f38621c1d16b2bb14d5b9f132e69c79d355e7f"},
-    {file = "google_cloud_resource_manager-1.12.3-py2.py3-none-any.whl", hash = "sha256:92be7d6959927b76d90eafc4028985c37975a46ded5466a018f02e8649e113d4"},
+    {file = "google-cloud-resource-manager-1.12.4.tar.gz", hash = "sha256:3eda914a925e92465ef80faaab7e0f7a9312d486dd4e123d2c76e04bac688ff0"},
+    {file = "google_cloud_resource_manager-1.12.4-py2.py3-none-any.whl", hash = "sha256:0b6663585f7f862166c0fb4c55fdda721fce4dc2dc1d5b52d03ee4bf2653a85f"},
 ]
 
 [package.dependencies]
@@ -1556,7 +1565,7 @@ google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extr
 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
 name = "google-cloud-storage"
@@ -1785,16 +1794,17 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "griffe"
-version = "0.47.0"
+version = "0.48.0"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "griffe-0.47.0-py3-none-any.whl", hash = "sha256:07a2fd6a8c3d21d0bbb0decf701d62042ccc8a576645c7f8799fe1f10de2b2de"},
-    {file = "griffe-0.47.0.tar.gz", hash = "sha256:95119a440a3c932b13293538bdbc405bee4c36428547553dc6b327e7e7d35e5a"},
+    {file = "griffe-0.48.0-py3-none-any.whl", hash = "sha256:f944c6ff7bd31cf76f264adcd6ab8f3d00a2f972ae5cc8db2d7b6dcffeff65a2"},
+    {file = "griffe-0.48.0.tar.gz", hash = "sha256:f099461c02f016b6be4af386d5aa92b01fb4efe6c1c2c360dda9a5d0a863bb7f"},
 ]
 
 [package.dependencies]
+backports-strenum = {version = ">=1.3", markers = "python_version < \"3.11\""}
 colorama = ">=0.4"
 
 [[package]]
@@ -2004,13 +2014,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.4"
+version = "0.23.5"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"},
-    {file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"},
+    {file = "huggingface_hub-0.23.5-py3-none-any.whl", hash = "sha256:d7a7d337615e11a45cc14a0ce5a605db6b038dc24af42866f731684825226e90"},
+    {file = "huggingface_hub-0.23.5.tar.gz", hash = "sha256:67a9caba79b71235be3752852ca27da86bd54311d2424ca8afdb8dda056edf98"},
 ]
 
 [package.dependencies]
@@ -2284,13 +2294,13 @@ files = [
 
 [[package]]
 name = "json-repair"
-version = "0.25.2"
+version = "0.25.3"
 description = "A package to repair broken json strings"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "json_repair-0.25.2-py3-none-any.whl", hash = "sha256:51d67295c3184b6c41a3572689661c6128cef6cfc9fb04db63130709adfc5bf0"},
-    {file = "json_repair-0.25.2.tar.gz", hash = "sha256:161a56d7e6bbfd4cad3a614087e3e0dbd0e10d402dd20dc7db418432428cb32b"},
+    {file = "json_repair-0.25.3-py3-none-any.whl", hash = "sha256:f00b510dd21b31ebe72581bdb07e66381df2883d6f640c89605e482882c12b17"},
+    {file = "json_repair-0.25.3.tar.gz", hash = "sha256:4ee970581a05b0b258b749eb8bcac21de380edda97c3717a4edfafc519ec21a4"},
 ]
 
 [[package]]
@@ -2390,19 +2400,19 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py
 
 [[package]]
 name = "langchain"
-version = "0.2.6"
+version = "0.2.8"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.6-py3-none-any.whl", hash = "sha256:f86e8a7afd3e56f8eb5ba47f01dd00144fb9fc2f1db9873bd197347be2857aa4"},
-    {file = "langchain-0.2.6.tar.gz", hash = "sha256:867f6add370c1e3911b0e87d3dd0e36aec1e8f513bf06131340fe8f151d89dc5"},
+    {file = "langchain-0.2.8-py3-none-any.whl", hash = "sha256:53e7dfe50294a14200f33bec22b4e14cb63857ccf0a5500b0d18b0fd51285d58"},
+    {file = "langchain-0.2.8.tar.gz", hash = "sha256:7fecb309e3558cde4e5cf7e9ffb7c1ab3f07121c40a7ff3b0c27135f8120c296"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.10,<0.3.0"
+langchain-core = ">=0.2.19,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
@@ -2417,35 +2427,41 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-cohere"
-version = "0.1.8"
+version = "0.1.9"
 description = "An integration package connecting Cohere and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_cohere-0.1.8-py3-none-any.whl", hash = "sha256:d3ef73d5050513ff3ca0f07c8f3f73b7773eec182312aae92138d3a0ad33e631"},
-    {file = "langchain_cohere-0.1.8.tar.gz", hash = "sha256:edbeca8d041186d2831b495d9a392a0a94d15b0e2c98863e0a0cd001fc888842"},
+    {file = "langchain_cohere-0.1.9-py3-none-any.whl", hash = "sha256:96d6a15125797319474ac84b54024e5024f3f5fc45032ebf228d95d6998c9b13"},
+    {file = "langchain_cohere-0.1.9.tar.gz", hash = "sha256:549620d23bc3d77f62d1045787095fe2c1cfa233dba69455139f9a2f65f952fa"},
 ]
 
 [package.dependencies]
 cohere = ">=5.5.6,<6.0"
-langchain-core = ">=0.2.0,<0.3"
+langchain-core = ">=0.2.2,<0.3"
+langchain-experimental = ">=0.0.6"
+pandas = ">=1.4.3"
+tabulate = ">=0.9.0,<0.10.0"
+
+[package.extras]
+langchain-community = ["langchain-community (>=0.2.4)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.2.6"
+version = "0.2.7"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.6-py3-none-any.whl", hash = "sha256:758cc800acfe5dd396bf8ba1b57c4792639ead0eab48ed0367f0732ec6ee1f68"},
-    {file = "langchain_community-0.2.6.tar.gz", hash = "sha256:40ce09a50ed798aa651ddb34c8978200fa8589b9813c7a28ce8af027bbf249f0"},
+    {file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
+    {file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.6,<0.3.0"
-langchain-core = ">=0.2.10,<0.3.0"
+langchain = ">=0.2.7,<0.3.0"
+langchain-core = ">=0.2.12,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -2458,13 +2474,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.11"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.11-py3-none-any.whl", hash = "sha256:c7ca4dc4d88e3c69fd7916c95a7027c2b1a11c2db5a51141c3ceb8afac212208"},
-    {file = "langchain_core-0.2.11.tar.gz", hash = "sha256:7a4661b50604eeb20c3373fbfd8a4f1b74482a6ab4e0f9df11e96821ead8ef0c"},
+    {file = "langchain_core-0.2.20-py3-none-any.whl", hash = "sha256:16cc4da6f7ebf33accea7af45a70480733dc852ab291030fb6924865bd7caf76"},
+    {file = "langchain_core-0.2.20.tar.gz", hash = "sha256:a66c439e085d8c75f822f7650a5551d17bada4003521173c763d875d949e4ed5"},
 ]
 
 [package.dependencies]
@@ -2478,19 +2494,34 @@ pydantic = [
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
+[[package]]
+name = "langchain-experimental"
+version = "0.0.62"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_experimental-0.0.62-py3-none-any.whl", hash = "sha256:9240f9e3490e819976f20a37863970036e7baacb7104b9eb6833d19ab6d518c9"},
+    {file = "langchain_experimental-0.0.62.tar.gz", hash = "sha256:9737fbc8429d24457ea4d368e3c9ba9ed1cace0564fb5f1a96a3027a588bd0ac"},
+]
+
+[package.dependencies]
+langchain-community = ">=0.2.6,<0.3.0"
+langchain-core = ">=0.2.10,<0.3.0"
+
 [[package]]
 name = "langchain-openai"
-version = "0.1.14"
+version = "0.1.16"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.1.14-py3-none-any.whl", hash = "sha256:fcd34cc5b5713798908a5828d364b4426e3b1afccbd564d344e5477acb86634a"},
-    {file = "langchain_openai-0.1.14.tar.gz", hash = "sha256:1f13d6041e8bedddf6eb47ccad7416e05af38fa169324f7f1bdf4f385780f8d8"},
+    {file = "langchain_openai-0.1.16-py3-none-any.whl", hash = "sha256:bff90e9d0be786495920a7851ae4d55247fb084d3a11d1b15bfe91904ce1cb0f"},
+    {file = "langchain_openai-0.1.16.tar.gz", hash = "sha256:3dedcc785a64a488ad6a313cc59b0dccea025d27413b55cec73a20dcf3ded4da"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.2,<0.3"
+langchain-core = ">=0.2.17,<0.3.0"
 openai = ">=1.32.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2510,13 +2541,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.84"
+version = "0.1.88"
 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-0.1.84-py3-none-any.whl", hash = "sha256:01f3c6390dba26c583bac8dd0e551ce3d0509c7f55cad714db0b5c8d36e4c7ff"},
-    {file = "langsmith-0.1.84.tar.gz", hash = "sha256:5220c0439838b9a5bd320fd3686be505c5083dcee22d2452006c23891153bea1"},
+    {file = "langsmith-0.1.88-py3-none-any.whl", hash = "sha256:460ebb7de440afd150fcea8f54ca8779821f2228cd59e149e5845c9dbe06db16"},
+    {file = "langsmith-0.1.88.tar.gz", hash = "sha256:28a07dec19197f4808aa2628d5a3ccafcbe14cc137aef0e607bbd128e7907821"},
 ]
 
 [package.dependencies]
@@ -2775,13 +2806,13 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.28"
+version = "9.5.29"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 numpy = ">=1.16.6"
 
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
+
 [[package]]
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 version = "0.6.0"
@@ -4177,13 +4271,13 @@ extra = ["pygments (>=2.12)"]
 
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 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
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 [package.dependencies]
@@ -4230,13 +4324,13 @@ files = [
 
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 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
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 ]
 
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+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
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 [[package]]
 name = "pywin32"
 version = "306"
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+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
 [[package]]
diff --git a/src/crewai/agents/executor.py b/src/crewai/agents/executor.py
index aa0076b0c..c98e87eb4 100644
--- a/src/crewai/agents/executor.py
+++ b/src/crewai/agents/executor.py
@@ -242,6 +242,8 @@ class CrewAgentExecutor(AgentExecutor, CrewAgentExecutorMixin):
             else:
                 if tool_calling.tool_name.casefold().strip() in [
                     name.casefold().strip() for name in name_to_tool_map
+                ] or tool_calling.tool_name.casefold().replace("_", " ") in [
+                    name.casefold().strip() for name in name_to_tool_map
                 ]:
                     observation = tool_usage.use(tool_calling, agent_action.log)
                 else:
diff --git a/src/crewai/utilities/converter.py b/src/crewai/utilities/converter.py
index 1e2641e78..f5732f62f 100644
--- a/src/crewai/utilities/converter.py
+++ b/src/crewai/utilities/converter.py
@@ -38,10 +38,10 @@ class Converter(OutputConverter):
                 return self._create_instructor().to_json()
             else:
                 return json.dumps(self._create_chain().invoke({}).model_dump())
-        except Exception:
+        except Exception as e:
             if current_attempt < self.max_attempts:
                 return self.to_json(current_attempt + 1)
-            return ConverterError("Failed to convert text into JSON.")
+            return ConverterError(f"Failed to convert text into JSON, error: {e}.")
 
     def _create_instructor(self):
         """Create an instructor."""
diff --git a/src/crewai/utilities/crew_pydantic_output_parser.py b/src/crewai/utilities/crew_pydantic_output_parser.py
index 5172ca645..54025d5e3 100644
--- a/src/crewai/utilities/crew_pydantic_output_parser.py
+++ b/src/crewai/utilities/crew_pydantic_output_parser.py
@@ -17,6 +17,16 @@ class CrewPydanticOutputParser(PydanticOutputParser):
 
     def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
         result[0].text = self._transform_in_valid_json(result[0].text)
+
+        # Treating edge case of function calling llm returning the name instead of tool_name
+        json_object = json.loads(result[0].text)
+        json_object["tool_name"] = (
+            json_object["name"]
+            if "tool_name" not in json_object
+            else json_object["tool_name"]
+        )
+        result[0].text = json.dumps(json_object)
+
         json_object = super().parse_result(result)
         try:
             return self.pydantic_object.parse_obj(json_object)
diff --git a/tests/cassettes/test_crew_does_not_interpolate_without_inputs.yaml b/tests/cassettes/test_crew_does_not_interpolate_without_inputs.yaml
new file mode 100644
index 000000000..d9d06d86e
--- /dev/null
+++ b/tests/cassettes/test_crew_does_not_interpolate_without_inputs.yaml
@@ -0,0 +1,2189 @@
+interactions:
+- request:
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new file mode 100644
index 000000000..05854b9c0
--- /dev/null
+++ b/tests/cassettes/test_json_property_without_output_json.yaml
@@ -0,0 +1,262 @@
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@@ -762,7 +2052,573 @@ interactions:
       Content-Type:
       - application/x-protobuf
       Date:
-      - Tue, 09 Jul 2024 21:12:39 GMT
+      - Wed, 17 Jul 2024 07:38:52 GMT
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"messages": [{"role": "user", "content": "Assess the quality of the task
+      completed based on the description, expected output, and actual results.\n\nTask
+      Description:\nResearch a topic to teach a kid aged 6 about math.\n\nExpected
+      Output:\nA topic, explanation, angle, and examples.\n\nActual Output:\nAfter
+      careful research and consideration, I have found that the best way to introduce
+      math to a 6-year-old is through a topic that they are already familiar with
+      and enjoy. In this case, I would suggest using the topic of \"Animals at the
+      Zoo.\" This topic is playful, engaging, and allows for the introduction of basic
+      math concepts like counting, addition, and subtraction.\n\nAngle: \nThe angle
+      of approach would be to blend a storytelling narrative with math problems. Expressing
+      math through a story makes it more relatable and less intimidating for a child.
+      \n\nExplanation: \nThe story would be about a zookeeper who needs help counting
+      the animals and keeping track of them in the zoo. Each animal in the zoo represents
+      a number, and the child''s task is to help the zookeeper count the total number
+      of animals, add new animals, and subtract those that have been adopted.\n\nExamples:\n1.
+      Counting: The zookeeper has 5 elephants and 3 monkeys. How many animals does
+      the zookeeper have in total? To solve this, the child would count each animal,
+      one by one. \n\n2. Addition: The zookeeper just received 2 new lions. Now, how
+      many animals are there in total? To solve this, the child would add the number
+      of new animals to the existing total.\n\n3. Subtraction: One of the monkeys
+      was adopted and taken to a new home. How many animals are left in the zoo? To
+      solve this, the child would subtract one from the existing number of animals.\n\nThought:
+      I now can give a great answer\nFinal Answer: My best complete final answer to
+      the task is to teach a 6-year-old math using the topic \"Animals at the Zoo.\"
+      The angle of approach is to blend storytelling with math problems, making the
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diff --git a/tests/crew_test.py b/tests/crew_test.py
index b9f38789e..5c8833652 100644
--- a/tests/crew_test.py
+++ b/tests/crew_test.py
@@ -1355,6 +1355,7 @@ def test_crew_inputs_interpolate_both_agents_and_tasks_diff():
                 interpolate_task_inputs.assert_called()
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_does_not_interpolate_without_inputs():
     from unittest.mock import patch
 
@@ -1997,6 +1998,7 @@ def test_replay_task_with_context():
         db_handler.reset()
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
 def test_replay_from_task_with_context():
     agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
     task1 = Task(
@@ -2114,6 +2116,7 @@ def test_replay_with_invalid_task_id():
             crew.replay_from_task("bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d")
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
 @patch.object(Crew, "_interpolate_inputs")
 def test_replay_interpolates_inputs_properly(mock_interpolate_inputs):
     agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
diff --git a/tests/task_test.py b/tests/task_test.py
index 9e98ecbad..5df98ae6f 100644
--- a/tests/task_test.py
+++ b/tests/task_test.py
@@ -317,6 +317,7 @@ def test_output_json_hierarchical():
     assert result.to_dict() == {"score": 4}
 
 
+@pytest.mark.vcr(filter_headers=["authorization"])
 def test_json_property_without_output_json():
     class ScoreOutput(BaseModel):
         score: int
@@ -397,8 +398,8 @@ def test_output_json_dict_hierarchical():
         manager_llm=ChatOpenAI(model="gpt-4o"),
     )
     result = crew.kickoff()
-    assert {"score": 4} == result.json_dict
-    assert result.to_dict() == {"score": 4}
+    assert {"score": 5} == result.json_dict
+    assert result.to_dict() == {"score": 5}
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])