diff --git a/README.md b/README.md
index a0ed086..7433c97 100644
--- a/README.md
+++ b/README.md
@@ -7,18 +7,27 @@ questions using up-to-date data. This is possible as a result of agents
 utilizing function calling to interact with the OpenBB platform.
 
 
-## Set-up
-At present, we currently support Python 3.11. If you're using a earlier version
-of Python, your mileage may vary. We'll be adding wider support very soon!
+## Installation
+Currently, we only support Python 3.11. We will be adding support for more version of Python relatively soon.
 
-- Create a new virtual environment, with `poetry `
-- `poetry install`
+`openbb-agents` is available as a PyPI package:
+
+``` sh
+pip install openbb-agents --upgrade
+```
 
 ## Usage
-Use the `run.py` script and pass in your query.
 
-Queries can be simple:
+``` python
+>>> from openbb_agents.agent import openbb_agent
+>>> result = openbb_agent("What is the current market cap of TSLA?")  # Will print some logs to show you progress
+>>> print(result)
+- The current market cap of TSLA (Tesla, Inc.) is approximately $695,833,798,800.00.
+- This figure is based on the most recent data available, which is from January 15, 2024.
+- The market cap is calculated by multiplying the current stock price ($218.89) by the number of outstanding shares (3,178,920,000).
+```
 
+If you've cloned the repository, you can use the `run.py` script and pass in your query:
 ``` sh
 python run.py "What is the current market cap of TSLA?"
 ```
@@ -37,7 +46,10 @@ python run.py "Who are TSLA's peers? What is their respective market cap? Return
 
 There is more functionality coming very soon!
 
+
 ## Development
+- Create a new virtual environment, with `poetry `
+- `poetry install`
 
 ### Linting and Formatting
 We're currently experimenting with `ruff` as a drop-in replacement for `black`, `isort` and `pylint`.
diff --git a/openbb_agents/chains.py b/openbb_agents/chains.py
index 0d8ddc8..ce493fd 100644
--- a/openbb_agents/chains.py
+++ b/openbb_agents/chains.py
@@ -10,7 +10,6 @@
     JSONAgentOutputParser,
     OpenAIFunctionsAgentOutputParser,
 )
-from langchain.chat_models import ChatOpenAI
 from langchain.output_parsers import PydanticOutputParser
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain.tools import StructuredTool
@@ -19,6 +18,7 @@
     render_text_description_and_args,
 )
 from langchain.vectorstores import VectorStore
+from langchain_openai import ChatOpenAI
 
 from openbb_agents.models import (
     AnsweredSubQuestion,
diff --git a/openbb_agents/prompts.py b/openbb_agents/prompts.py
index 458bf8d..ece2b22 100644
--- a/openbb_agents/prompts.py
+++ b/openbb_agents/prompts.py
@@ -15,7 +15,6 @@
 You are a world-class state-of-the-art search agent.
 You are excellent at your job.
 
-YOU MUST DO MULTIPLE FUNCTION CALLS! DO NOT RELY ON A SINGLE CALL ONLY.
 
 Your purpose is to search for tools that allow you to answer a user's subquestion.
 The subquestion could be a part of a chain of other subquestions.
@@ -27,10 +26,13 @@
 ... repeat as many times as necessary until you reach a maximum of 4 tools
 4. Return the list of tools using the output schema.
 
+YOU ARE ALLOWED TO DO MULTIPLE FUNCTION CALLS! DO NOT RELY ON A SINGLE CALL ONLY.
+
 You can search for tools using the available tool, which uses your inputs to
 search a vector databse that relies on similarity search.
 
 These are the guidelines to consider when completing your task:
+* Immediately return no tools if you do not require any to answer the query.
 * Don't use the stock ticker or symbol in the query
 * Use keyword searches
 * Make multiple searches with different terms
diff --git a/openbb_agents/tools.py b/openbb_agents/tools.py
index 00e1c00..2275fa2 100644
--- a/openbb_agents/tools.py
+++ b/openbb_agents/tools.py
@@ -5,11 +5,11 @@
 from typing import Callable, List, Union
 
 import tiktoken
-from langchain.embeddings import OpenAIEmbeddings
 from langchain.schema import Document
 from langchain.tools import StructuredTool
 from langchain.tools.base import ToolException
-from langchain.vectorstores import FAISS, VectorStore
+from langchain_community.vectorstores import FAISS, VectorStore
+from langchain_openai import OpenAIEmbeddings
 from openbb import obb
 from pydantic.v1 import ValidationError, create_model
 from pydantic.v1.fields import FieldInfo
diff --git a/poetry.lock b/poetry.lock
index f6a53cd..7c84aae 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1870,21 +1870,22 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.0.348"
+version = "0.1.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.348-py3-none-any.whl", hash = "sha256:35ab72d9e2b9c48d6782f10ec400a9783eaa3c8a6e54fa1cbe0f195c425b3008"},
-    {file = "langchain-0.0.348.tar.gz", hash = "sha256:06ac3ab1cdaa7b55497ccae55119559a6b6e870b92dedddc0172be8796dca09d"},
+    {file = "langchain-0.1.0-py3-none-any.whl", hash = "sha256:8652e74b039333a55c79faff4400b077ba1bd0ddce5255574e42d301c05c1733"},
+    {file = "langchain-0.1.0.tar.gz", hash = "sha256:d43119f8d3fda2c8ddf8c3a19bd5b94b347e27d1867ff14a921b90bdbed0668a"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
-langchain-core = ">=0.0.12,<0.1"
-langsmith = ">=0.0.63,<0.1.0"
+langchain-community = ">=0.0.9,<0.1"
+langchain-core = ">=0.1.7,<0.2"
+langsmith = ">=0.0.77,<0.1.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -1893,29 +1894,54 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
-all = ["O365 (>=2.0.26,<3.0.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "amadeus (>=8.1.0)", "arxiv (>=1.4,<2.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "awadb (>=0.3.9,<0.4.0)", "azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "beautifulsoup4 (>=4,<5)", "clarifai (>=9.1.0)", "clickhouse-connect (>=0.5.14,<0.6.0)", "cohere (>=4,<5)", "deeplake (>=3.8.3,<4.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "docarray[hnswlib] (>=0.32.0,<0.33.0)", "duckduckgo-search (>=3.8.3,<4.0.0)", "elasticsearch (>=8,<9)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-auth (>=2.18.1,<3.0.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lancedb (>=0.1,<0.2)", "langkit (>=0.0.6,<0.1.0)", "lark (>=1.1.5,<2.0.0)", "librosa (>=0.10.0.post2,<0.11.0)", "lxml (>=4.9.2,<5.0.0)", "manifest-ml (>=0.0.1,<0.0.2)", "marqo (>=1.2.4,<2.0.0)", "momento (>=1.13.0,<2.0.0)", "nebula3-python (>=3.4.0,<4.0.0)", "neo4j (>=5.8.1,<6.0.0)", "networkx (>=2.6.3,<4)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "opensearch-py (>=2.0.0,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pexpect (>=4.8.0,<5.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pymongo (>=4.3.3,<5.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "python-arango (>=7.5.9,<8.0.0)", "pyvespa (>=0.33.0,<0.34.0)", "qdrant-client (>=1.3.1,<2.0.0)", "rdflib (>=6.3.2,<7.0.0)", "redis (>=4,<5)", "requests-toolbelt (>=1.0.0,<2.0.0)", "sentence-transformers (>=2,<3)", "singlestoredb (>=0.7.1,<0.8.0)", "tensorflow-text (>=2.11.0,<3.0.0)", "tigrisdb (>=1.0.0b6,<2.0.0)", "tiktoken (>=0.3.2,<0.6.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
 azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
 clarifai = ["clarifai (>=9.1.0)"]
 cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<5)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.6.0,<0.7.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "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)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "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)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
 javascript = ["esprima (>=4.0.1,<5.0.0)"]
 llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "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)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
+[[package]]
+name = "langchain-community"
+version = "0.0.12"
+description = "Community contributed LangChain integrations."
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "langchain_community-0.0.12-py3-none-any.whl", hash = "sha256:13b988afaa24e570d2b9992aecccb2fe36d9c33feafd9804f3066dc2ff042d4d"},
+    {file = "langchain_community-0.0.12.tar.gz", hash = "sha256:7cfe36c52b1fb86c1095d4dec0cf466a1c752a7446104e8b39cf0f70512a4851"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.3,<4.0.0"
+dataclasses-json = ">=0.5.7,<0.7"
+langchain-core = ">=0.1.9,<0.2"
+langsmith = ">=0.0.63,<0.1.0"
+numpy = ">=1,<2"
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+tenacity = ">=8.1.0,<9.0.0"
+
+[package.extras]
+cli = ["typer (>=0.9.0,<0.10.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "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)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)", "zhipuai (>=1.0.7,<2.0.0)"]
+
 [[package]]
 name = "langchain-core"
-version = "0.0.13"
+version = "0.1.10"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_core-0.0.13-py3-none-any.whl", hash = "sha256:36d33a3d280877fb29a1f0f292b9b02b9ba29bf43fb54090b7364f00d5925459"},
-    {file = "langchain_core-0.0.13.tar.gz", hash = "sha256:fcfc13d2c314c0441c8f1f8b79395316df5873c1c7a687c8c5c553b3824840b6"},
+    {file = "langchain_core-0.1.10-py3-none-any.whl", hash = "sha256:d89952f6d0766cfc88d9f1e25b84d56f8d7bd63a45ad8ec1a9a038c9b49df16d"},
+    {file = "langchain_core-0.1.10.tar.gz", hash = "sha256:3c9e1383264c102fcc6f865700dbb9416c4931a25d0ac2195f6311c6b867aa17"},
 ]
 
 [package.dependencies]
@@ -1931,6 +1957,23 @@ tenacity = ">=8.1.0,<9.0.0"
 [package.extras]
 extended-testing = ["jinja2 (>=3,<4)"]
 
+[[package]]
+name = "langchain-openai"
+version = "0.0.2.post1"
+description = "An integration package connecting OpenAI and LangChain"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "langchain_openai-0.0.2.post1-py3-none-any.whl", hash = "sha256:ba468b94c23da9d8ccefe5d5a3c1c65b4b9702292523e53acc689a9110022e26"},
+    {file = "langchain_openai-0.0.2.post1.tar.gz", hash = "sha256:f8e78db4a663feeac71d9f036b9422406c199ea3ef4c97d99ff392c93530e073"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.1.7,<0.2"
+numpy = ">=1,<2"
+openai = ">=1.6.1,<2.0.0"
+tiktoken = ">=0.5.2,<0.6.0"
+
 [[package]]
 name = "langchainhub"
 version = "0.1.14"
@@ -2714,54 +2757,55 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "openbb"
-version = "4.0.1"
+version = "4.1.0"
 description = "OpenBB"
 optional = false
 python-versions = ">=3.8,<3.12"
 files = [
-    {file = "openbb-4.0.1-py3-none-any.whl", hash = "sha256:e848a0170a7cc6784904100c06f2061a05a00b679bffe98cea18d730c96c8a05"},
-    {file = "openbb-4.0.1.tar.gz", hash = "sha256:41767ebdfb022058d1e7e480b41ce7caeccb5743de5545979b0ac42463f75260"},
-]
-
-[package.dependencies]
-openbb-benzinga = ">=1.0.0,<2.0.0"
-openbb-core = ">=1.0.1,<2.0.0"
-openbb-crypto = ">=1.0.0,<2.0.0"
-openbb-currency = ">=1.0.0,<2.0.0"
-openbb-derivatives = ">=1.0.0,<2.0.0"
-openbb-economy = ">=1.0.0,<2.0.0"
-openbb-equity = ">=1.0.0,<2.0.0"
-openbb-etf = ">=1.0.0,<2.0.0"
-openbb-fixedincome = ">=1.0.0,<2.0.0"
-openbb-fmp = ">=1.0.0,<2.0.0"
-openbb-fred = ">=1.0.0,<2.0.0"
-openbb-index = ">=1.0.0,<2.0.0"
-openbb-intrinio = ">=1.0.0,<2.0.0"
-openbb-news = ">=1.0.0,<2.0.0"
-openbb-oecd = ">=1.0.0,<2.0.0"
-openbb-polygon = ">=1.0.0,<2.0.0"
-openbb-regulators = ">=1.0.0,<2.0.0"
-openbb-sec = ">=1.0.0,<2.0.0"
-openbb-tiingo = ">=1.0.0,<2.0.0"
-openbb-tradingeconomics = ">=1.0.0,<2.0.0"
+    {file = "openbb-4.1.0-py3-none-any.whl", hash = "sha256:e4e7d7f64d1d3e2a1aa9b7ac9b457fe142a9ce7f858d044c2c32dc3ccaa9ee87"},
+    {file = "openbb-4.1.0.tar.gz", hash = "sha256:3f385708a34f536abe619148fe9be0e49fe3cbbc7885bb71fcd9f82938cb0892"},
+]
+
+[package.dependencies]
+openbb-benzinga = ">=1.1.0,<2.0.0"
+openbb-core = ">=1.1.0,<2.0.0"
+openbb-crypto = ">=1.1.0,<2.0.0"
+openbb-currency = ">=1.1.0,<2.0.0"
+openbb-derivatives = ">=1.1.0,<2.0.0"
+openbb-economy = ">=1.1.0,<2.0.0"
+openbb-equity = ">=1.1.0,<2.0.0"
+openbb-etf = ">=1.1.0,<2.0.0"
+openbb-federal-reserve = ">=1.1.0,<2.0.0"
+openbb-fixedincome = ">=1.1.0,<2.0.0"
+openbb-fmp = ">=1.1.0,<2.0.0"
+openbb-fred = ">=1.1.0,<2.0.0"
+openbb-index = ">=1.1.0,<2.0.0"
+openbb-intrinio = ">=1.1.0,<2.0.0"
+openbb-news = ">=1.1.0,<2.0.0"
+openbb-oecd = ">=1.1.0,<2.0.0"
+openbb-polygon = ">=1.1.0,<2.0.0"
+openbb-regulators = ">=1.1.0,<2.0.0"
+openbb-sec = ">=1.1.0,<2.0.0"
+openbb-tiingo = ">=1.1.0,<2.0.0"
+openbb-tradingeconomics = ">=1.1.0,<2.0.0"
 
 [package.extras]
-all = ["openbb-alpha-vantage (>=1.0.0,<2.0.0)", "openbb-biztoc (>=1.0.0,<2.0.0)", "openbb-cboe (>=1.0.0,<2.0.0)", "openbb-charting (>=1.0.0,<2.0.0)", "openbb-ecb (>=1.0.0,<2.0.0)", "openbb-econometrics (>=1.0.0,<2.0.0)", "openbb-government-us (>=1.0.0,<2.0.0)", "openbb-nasdaq (>=1.0.0,<2.0.0)", "openbb-quantitative (>=1.0.0,<2.0.0)", "openbb-seeking-alpha (>=1.0.0,<2.0.0)", "openbb-stockgrid (>=1.0.0,<2.0.0)", "openbb-technical (>=1.0.0,<2.0.0)", "openbb-yfinance (>=1.0.0,<2.0.0)"]
-alpha-vantage = ["openbb-alpha-vantage (>=1.0.0,<2.0.0)"]
-biztoc = ["openbb-biztoc (>=1.0.0,<2.0.0)"]
-cboe = ["openbb-cboe (>=1.0.0,<2.0.0)"]
-charting = ["openbb-charting (>=1.0.0,<2.0.0)"]
-ecb = ["openbb-ecb (>=1.0.0,<2.0.0)"]
-econometrics = ["openbb-econometrics (>=1.0.0,<2.0.0)"]
-finra = ["openbb-finra (>=1.0.0,<2.0.0)"]
-government = ["openbb-government-us (>=1.0.0,<2.0.0)"]
-nasdaq = ["openbb-nasdaq (>=1.0.0,<2.0.0)"]
-quantitative = ["openbb-quantitative (>=1.0.0,<2.0.0)"]
-seeking-alpha = ["openbb-seeking-alpha (>=1.0.0,<2.0.0)"]
-stockgrid = ["openbb-stockgrid (>=1.0.0,<2.0.0)"]
-technical = ["openbb-technical (>=1.0.0,<2.0.0)"]
-wsj = ["openbb-wsj (>=1.0.0,<2.0.0)"]
-yfinance = ["openbb-yfinance (>=1.0.0,<2.0.0)"]
+all = ["openbb-alpha-vantage (>=1.1.0,<2.0.0)", "openbb-biztoc (>=1.1.0,<2.0.0)", "openbb-cboe (>=1.1.0,<2.0.0)", "openbb-charting (>=1.1.0,<2.0.0)", "openbb-ecb (>=1.1.0,<2.0.0)", "openbb-econometrics (>=1.1.0,<2.0.0)", "openbb-government-us (>=1.1.0,<2.0.0)", "openbb-nasdaq (>=1.1.1,<2.0.0)", "openbb-quantitative (>=1.1.0,<2.0.0)", "openbb-seeking-alpha (>=1.1.0,<2.0.0)", "openbb-stockgrid (>=1.1.0,<2.0.0)", "openbb-technical (>=1.1.0,<2.0.0)", "openbb-yfinance (>=1.1.0,<2.0.0)"]
+alpha-vantage = ["openbb-alpha-vantage (>=1.1.0,<2.0.0)"]
+biztoc = ["openbb-biztoc (>=1.1.0,<2.0.0)"]
+cboe = ["openbb-cboe (>=1.1.0,<2.0.0)"]
+charting = ["openbb-charting (>=1.1.0,<2.0.0)"]
+ecb = ["openbb-ecb (>=1.1.0,<2.0.0)"]
+econometrics = ["openbb-econometrics (>=1.1.0,<2.0.0)"]
+finra = ["openbb-finra (>=1.1.0,<2.0.0)"]
+government = ["openbb-government-us (>=1.1.0,<2.0.0)"]
+nasdaq = ["openbb-nasdaq (>=1.1.1,<2.0.0)"]
+quantitative = ["openbb-quantitative (>=1.1.0,<2.0.0)"]
+seeking-alpha = ["openbb-seeking-alpha (>=1.1.0,<2.0.0)"]
+stockgrid = ["openbb-stockgrid (>=1.1.0,<2.0.0)"]
+technical = ["openbb-technical (>=1.1.0,<2.0.0)"]
+wsj = ["openbb-wsj (>=1.1.0,<2.0.0)"]
+yfinance = ["openbb-yfinance (>=1.1.0,<2.0.0)"]
 
 [[package]]
 name = "openbb-benzinga"
@@ -2911,6 +2955,20 @@ files = [
 [package.dependencies]
 openbb-core = ">=1.1.0,<2.0.0"
 
+[[package]]
+name = "openbb-federal-reserve"
+version = "1.1.0"
+description = "US Federal Reserve Data Extension for OpenBB"
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+    {file = "openbb_federal_reserve-1.1.0-py3-none-any.whl", hash = "sha256:629d51819f7be1f52cbff026155002000946e57c5b410e1c3d94e257576a883a"},
+    {file = "openbb_federal_reserve-1.1.0.tar.gz", hash = "sha256:aeac532e6e44eaa8efc2ae01608e08129d5fad348d5a8e0db4acd64a57999ce7"},
+]
+
+[package.dependencies]
+openbb-core = ">=1.1.0,<2.0.0"
+
 [[package]]
 name = "openbb-fixedincome"
 version = "1.1.0"
@@ -5929,4 +5987,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11,<3.12"
-content-hash = "d6e2a89b03aadcb9cc5d48ccb2865e25de8cee1d059587fba831f21f5f260405"
+content-hash = "2698844cfb41be3b6fa9cc6ccd58a0f3903459defc86c45b23d43bee368f9348"
diff --git a/pyproject.toml b/pyproject.toml
index 613845f..ba81a84 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "openbb-agents"
-version = "0.0.1a"
+version = "0.0.1"
 description = "LLMs X OpenBB"
 authors = ["Michael Struwig <michael.struwig@openbb.finance>"]
 readme = "README.md"
@@ -8,8 +8,8 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = "^3.11,<3.12"
 jupyterlab = "^4.0.9"
-langchain = "^0.0.348"
-openbb = "4.0.1"
+langchain = "^0.1"
+openbb = "4.1.0"
 openai = "^1.3.5"
 sentence-transformers = "^2.2.2"
 tiktoken = "^0.5.1"
@@ -20,6 +20,7 @@ fastapi = "^0.104.1"
 uvicorn = "^0.24.0"
 matplotlib = "^3.8.2"
 openbb-charting = "^1.0.0"
+langchain-openai = "^0.0.2.post1"
 
 [tool.poetry.group.dev.dependencies]
 pre-commit = "^3.5.0"