diff --git a/.gitignore b/.gitignore
index c16328c..2653b96 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 env/
 output/
-config.json
\ No newline at end of file
+tools/config.json
+tools/__pycache__/
diff --git a/README.md b/README.md
index 52f9586..3acd9db 100644
--- a/README.md
+++ b/README.md
@@ -5,12 +5,11 @@ So the idea here is to make an llm agent with tools that use https://imgflip.com
 
 ## Setup
 
+### Python
+
 ```bash
 python -m venv env
 source env/bin/activate
-```
-
-```bash
 pip install -r requirements.txt
 ```
 
@@ -26,3 +25,16 @@ Example:
 ```bash
 python main.py
 ```
+
+### Ollama
+Note we are using the `langchain-ollama` python package (see requirements).  
+Pull model
+```
+ollama pull llama3
+```
+If failing, check status of ollama process:
+```
+sudo service ollama status
+```
+
+
diff --git a/main.py b/main.py
index f5a0c59..faf59d7 100644
--- a/main.py
+++ b/main.py
@@ -1,59 +1,51 @@
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_ollama.llms import OllamaLLM
+from langchain_core.tools import Tool
+from langchain.agents import AgentExecutor, AgentType, Tool, initialize_agent
+
 import requests
 import os
-import json
 
-def load_config():
-    with open('config.json') as config_file:
-        return json.load(config_file)
-    
-def get_memes():
-    url = "https://api.imgflip.com/get_memes"
-    response = requests.get(url)
-    result = response.json()
-    
-    if result['success']:
-        memes = result['data']['memes']
-        for meme in memes:
-            print(f"ID: {meme['id']}, Name: {meme['name']}")
-    else:
-        print("Failed to retrieve memes.")
+from tools.get_memes import get_memes
+from tools.caption_image import caption_image
+from tools.download_image import download_image
 
-def create_meme(template_id, text0, text1):
-    config = load_config()
-    username = config['username']
-    password = config['password']
-    
-    url = "https://api.imgflip.com/caption_image"
-    payload = {
-        "template_id": template_id,
-        "username": username,
-        "password": password,
-        "text0": text0,
-        "text1": text1
-    }
-    
-    response = requests.post(url, data=payload)
-    result = response.json()
-    
-    if result['success']:
-        meme_url = result['data']['url']
-        print(f"Meme created! URL: {meme_url}")
-        download_image(meme_url)
-    else:
-        print(f"Error: {result['error_message']}")
+system_prompt = """
+    You are an assistant that looks up the numerical template_id of a meme from imgflip.
+    The following tools are available to you:
 
-def download_image(url):
-    response = requests.get(url)
-    if response.status_code == 200:
-        output_dir = 'output'
-        os.makedirs(output_dir, exist_ok=True)
-        image_path = os.path.join(output_dir, url.split("/")[-1])
-        with open(image_path, 'wb') as f:
-            f.write(response.content)
-        print(f"Image saved to {image_path}")
-    else:
-        print("Failed to download image.")
+    1. get_memes - Does not take any agruments. Returns a list of template_ids (integer) and names (string) which are the titles of the memes that correspond to the template_id.
+    2. caption_image - Given a valid template_id, top text, and bottom text, generates an image with the desired text. Returns the url of the new meme as a string.
+    3. download_image - Given a valid url returned from the caption_image tool, downloads the image we made locally.
 
+    Use these tools if necessary to answer questions.
+"""
+
+prompt_template = f"""
+    {system_prompt}
+
+    Question: {{question}}
+
+    Answer: Let's think step by step.
+"""
+
+prompt = ChatPromptTemplate.from_template(prompt_template)
+
+tools = [
+    Tool(name="Get Memes", func=get_memes, description="Does not take any agruments. Returns a list of template_ids (integer) and names (string) which are the titles of the memes that correspond to the template_id."),
+    Tool(name="Caption Image", func=caption_image, description="Given a valid template_id, top text, and bottom text, generates an image with the desired text. Returns the url of the new meme as a string."),
+    Tool(name="Download Image", func=download_image, description="Given a valid url returned from the caption_image tool, downloads the image we made locally.")
+]
+
+llm = OllamaLLM(model="llama3")
+
+agent_executor = initialize_agent(
+    tools=tools,
+    llm=llm,
+    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+    verbose=True
+)
+
+response = agent_executor.invoke({"input": "Generate an image for the 'stick poke' meme with the top text 'come on' and the bottom text 'do something'."})
+print(response)
 
-create_meme(20007896, "Top text", "Bottom text")
-# get_memes()
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index f229360..e2a6ca5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1 +1,5 @@
 requests
+langchain
+langchain-community
+langchain-core
+langchain-ollama
diff --git a/test/0_langchain_ollama_test.py b/test/0_langchain_ollama_test.py
new file mode 100644
index 0000000..515be8a
--- /dev/null
+++ b/test/0_langchain_ollama_test.py
@@ -0,0 +1,16 @@
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_ollama.llms import OllamaLLM
+
+template = """Question: {question}
+
+Answer: Let's think step by step."""
+
+prompt = ChatPromptTemplate.from_template(template)
+
+model = OllamaLLM(model="llama3")
+
+chain = prompt | model
+
+result = chain.invoke({"question": "What is LangChain?"})
+
+print(result)
diff --git a/test/1_langchain_tools_test.py b/test/1_langchain_tools_test.py
new file mode 100644
index 0000000..dcc35b7
--- /dev/null
+++ b/test/1_langchain_tools_test.py
@@ -0,0 +1,73 @@
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_ollama.llms import OllamaLLM
+from langchain_core.tools import Tool
+from langchain.agents import AgentExecutor, AgentType, Tool, initialize_agent
+
+
+### Prompt Definitions
+
+system_prompt = """
+    You are an assistant that performs basic arithmetic operations.
+
+    The following tools are available to you:
+    1. Add - Gets the sum of 2 numbers. Input Format: (a,b)
+    2. Subtract - Gets the subtraction result of 2 numbers. Input Format: (a,b)
+
+    Use these tools if necessary to answer questions.
+"""
+
+prompt_template = f"""
+    {system_prompt}
+
+    Question: {{question}}
+
+    Answer: Let's think step by step.
+"""
+
+prompt = ChatPromptTemplate.from_template(prompt_template)
+
+
+### Tool Definitions
+
+def add(*args) -> float:
+    args_tuple = string_to_tuple(args[0])
+    assert len(args_tuple) == 2
+    return args_tuple[0] + args_tuple[1]
+
+def subtract(*args) -> float:
+    args_tuple = string_to_tuple(args[0])
+    assert len(args_tuple) == 2
+    return args_tuple[0] - args_tuple[1]
+
+# When tool is invoked, we get whatever the LLM wanted to send it as a string.
+def string_to_tuple(s):
+    s = s.strip("()")
+    vals = s.split(', ')
+    vals = tuple(map(float, vals))
+    return vals
+
+tools = [
+    Tool(name="Add", func=add, description="Performs addition of exactly two numbers."),
+    Tool(name="Subtract", func=subtract, description="Performs subtraction of exactly two numbers."),
+]
+
+
+### Langchain Definition 
+
+llm = OllamaLLM(model="llama3")
+
+agent_executor = initialize_agent(
+    tools=tools,
+    llm=llm,
+    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+    verbose=True
+)
+
+response = agent_executor.invoke({"input": "What is 3 + 5?"})
+print(response)
+
+response = agent_executor.invoke({"input": "What is 10 - 4?"})
+print(response)
+
+response = agent_executor.invoke({"input": "What is 5 + 4? Also, what is 99 - 33?"})
+print(response)
diff --git a/tools/caption_image.py b/tools/caption_image.py
new file mode 100644
index 0000000..149ff29
--- /dev/null
+++ b/tools/caption_image.py
@@ -0,0 +1,32 @@
+import json
+import requests
+
+CAPTION_IMAGE_URL = "https://api.imgflip.com/caption_image"
+
+def load_config():
+    with open('config.json') as config_file:
+        return json.load(config_file)   
+
+def caption_image(template_id, text0, text1):
+    config = load_config()
+    username = config['username']
+    password = config['password']
+
+    url = "https://api.imgflip.com/caption_image"
+    payload = {
+        "template_id": template_id,
+        "username": username,
+        "password": password,
+        "text0": text0,
+        "text1": text1
+    }
+
+    response = requests.post(url, data=payload)
+    result = response.json()
+
+    if result['success']:
+        meme_url = result['data']['url']
+        print(f"Meme created! URL: {meme_url}")
+        return meme_url
+    else:
+        return None
diff --git a/tools/download_image.py b/tools/download_image.py
new file mode 100644
index 0000000..8c50fe4
--- /dev/null
+++ b/tools/download_image.py
@@ -0,0 +1,14 @@
+import os
+import requests
+
+def download_image(url):
+    response = requests.get(url)
+    if response.status_code == 200:
+        output_dir = 'output'
+        os.makedirs(output_dir, exist_ok=True)
+        image_path = os.path.join(output_dir, url.split("/")[-1])
+        with open(image_path, 'wb') as f:
+            f.write(response.content)
+        print(f"Image saved to {image_path}")
+    else:
+        print("Failed to download image.")
diff --git a/tools/get_memes.py b/tools/get_memes.py
new file mode 100644
index 0000000..2019d2e
--- /dev/null
+++ b/tools/get_memes.py
@@ -0,0 +1,18 @@
+import requests
+
+GET_MEMES_URL = "https://api.imgflip.com/get_memes"
+
+def get_memes(ignored):
+    return get_memes_helper()
+
+def get_memes_helper():
+    response = requests.get(GET_MEMES_URL)
+    result = response.json()
+
+    if result['success']:
+        memes = result['data']['memes']
+        memes_str = "\n".join([f"ID: {meme['id']}, Name: {meme['name']}" for meme in memes])
+        return memes_str
+    else:
+        return "No template_ids found."
+
diff --git a/tools/test_tools.py b/tools/test_tools.py
new file mode 100644
index 0000000..e3c6a22
--- /dev/null
+++ b/tools/test_tools.py
@@ -0,0 +1,8 @@
+from caption_image import caption_image
+from download_image import download_image
+from get_memes import get_memes
+
+get_memes()
+meme_url = caption_image(20007896, "Top text", "Bottom text")
+download_image(meme_url)
+