diff --git a/assets/screenshot.png b/assets/screenshot.png
new file mode 100644
index 00000000..768d73d6
Binary files /dev/null and b/assets/screenshot.png differ
diff --git a/examples/chat/README.md b/examples/chat/README.md
new file mode 100644
index 00000000..5c8036d6
--- /dev/null
+++ b/examples/chat/README.md
@@ -0,0 +1,25 @@
+# Example App
+This is an example applicaiton to demonstrate how to run VisionAgent locally.
+
+
+# Quick Start
+To get started install the fastapi library:
+```bash
+pip install "fastapi[standard]"
+```
+
+Then cd into `chat-app` and run `make` to install the node dependencies.
+
+To start the server run:
+```bash
+fastapi dev app.py
+```
+
+And to start the front end, in the chat-app folder run:
+```bash
+npm run dev
+```
+
+Then go to `http://localhost:3000` in your browser to see the app running.
+
+![screenshot](https://github.com/landing-ai/vision-agent/blob/main/assets/screenshot.png?raw=true)
diff --git a/examples/chat/app.py b/examples/chat/app.py
index 26bbc11c..2b7d7fc5 100644
--- a/examples/chat/app.py
+++ b/examples/chat/app.py
@@ -6,7 +6,8 @@
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 
-from vision_agent.agent import VisionAgentCoderV2
+from vision_agent.agent import VisionAgentV2
+from vision_agent.agent.types import AgentMessage
 
 app = FastAPI()
 
@@ -36,7 +37,7 @@ def update_callback(message: Dict[str, Any]):
     loop.close()
 
 
-agent = VisionAgentCoderV2(
+agent = VisionAgentV2(
     verbose=True,
     update_callback=update_callback,
 )
@@ -46,7 +47,17 @@ def process_messages_background(messages: List[Dict[str, Any]]):
     for message in messages:
         if "media" in message and message["media"] is None:
             del message["media"]
-    response = agent.generate_code(messages)
+
+    response = agent.chat(
+        [
+            AgentMessage(
+                role=message["role"],
+                content=message["content"],
+                media=message.get("media", None),
+            )
+            for message in messages
+        ]
+    )
     # Here you can handle the response, e.g., send it via WebSocket or store it
     # For now, we'll just print it
     print("Background task completed:", response)
diff --git a/examples/chat/chat-app/Makefile b/examples/chat/chat-app/Makefile
new file mode 100644
index 00000000..b1aaa993
--- /dev/null
+++ b/examples/chat/chat-app/Makefile
@@ -0,0 +1,18 @@
+.PHONY: all
+all: setup
+
+.PHONY: add-components
+add-components:
+	npx shadcn@latest add button card scroll-area tabs
+	npx shadcn@latest add collapsible
+
+# Target to install dependencies using package-lock.json
+.PHONY: install-dependencies
+install-dependencies:
+	npm install --legacy-peer-deps react-syntax-highlighter
+	npm config set legacy-peer-deps true
+	npm ci
+
+# Setup target to run all necessary commands
+.PHONY: setup
+setup: add-components install-dependencies
diff --git a/examples/chat/chat-app/package-lock.json b/examples/chat/chat-app/package-lock.json
index 36e685a0..5568f7e3 100644
--- a/examples/chat/chat-app/package-lock.json
+++ b/examples/chat/chat-app/package-lock.json
@@ -9,7 +9,7 @@
       "version": "0.1.0",
       "dependencies": {
         "@radix-ui/react-collapsible": "^1.1.1",
-        "@radix-ui/react-scroll-area": "^1.2.0",
+        "@radix-ui/react-scroll-area": "^1.2.1",
         "@radix-ui/react-slot": "^1.1.0",
         "@radix-ui/react-tabs": "^1.1.1",
         "class-variance-authority": "^0.7.0",
@@ -424,6 +424,111 @@
         "node": ">= 10"
       }
     },
+    "node_modules/@next/swc-darwin-x64": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-15.0.2.tgz",
+      "integrity": "sha512-KUpBVxIbjzFiUZhiLIpJiBoelqzQtVZbdNNsehhUn36e2YzKHphnK8eTUW1s/4aPy5kH/UTid8IuVbaOpedhpw==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-linux-arm64-gnu": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-15.0.2.tgz",
+      "integrity": "sha512-9J7TPEcHNAZvwxXRzOtiUvwtTD+fmuY0l7RErf8Yyc7kMpE47MIQakl+3jecmkhOoIyi/Rp+ddq7j4wG6JDskQ==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-linux-arm64-musl": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-15.0.2.tgz",
+      "integrity": "sha512-BjH4ZSzJIoTTZRh6rG+a/Ry4SW0HlizcPorqNBixBWc3wtQtj4Sn9FnRZe22QqrPnzoaW0ctvSz4FaH4eGKMww==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-linux-x64-gnu": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-15.0.2.tgz",
+      "integrity": "sha512-i3U2TcHgo26sIhcwX/Rshz6avM6nizrZPvrDVDY1bXcLH1ndjbO8zuC7RoHp0NSK7wjJMPYzm7NYL1ksSKFreA==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-linux-x64-musl": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-15.0.2.tgz",
+      "integrity": "sha512-AMfZfSVOIR8fa+TXlAooByEF4OB00wqnms1sJ1v+iu8ivwvtPvnkwdzzFMpsK5jA2S9oNeeQ04egIWVb4QWmtQ==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-win32-arm64-msvc": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-15.0.2.tgz",
+      "integrity": "sha512-JkXysDT0/hEY47O+Hvs8PbZAeiCQVxKfGtr4GUpNAhlG2E0Mkjibuo8ryGD29Qb5a3IOnKYNoZlh/MyKd2Nbww==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@next/swc-win32-x64-msvc": {
+      "version": "15.0.2",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-15.0.2.tgz",
+      "integrity": "sha512-foaUL0NqJY/dX0Pi/UcZm5zsmSk5MtP/gxx3xOPyREkMFN+CTjctPfu3QaqrQHinaKdPnMWPJDKt4VjDfTBe/Q==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">= 10"
+      }
+    },
     "node_modules/@nodelib/fs.scandir": {
       "version": "2.1.5",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
@@ -720,9 +825,9 @@
       }
     },
     "node_modules/@radix-ui/react-scroll-area": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-scroll-area/-/react-scroll-area-1.2.0.tgz",
-      "integrity": "sha512-q2jMBdsJ9zB7QG6ngQNzNwlvxLQqONyL58QbEGwuyRZZb/ARQwk3uQVbCF7GvQVOtV6EU/pDxAw3zRzJZI3rpQ==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-scroll-area/-/react-scroll-area-1.2.1.tgz",
+      "integrity": "sha512-FnM1fHfCtEZ1JkyfH/1oMiTcFBQvHKl4vD9WnpwkLgtF+UmnXMCad6ECPTaAjcDjam+ndOEJWgHyKDGNteWSHw==",
       "license": "MIT",
       "dependencies": {
         "@radix-ui/number": "1.1.0",
@@ -6733,111 +6838,6 @@
         "node": ">= 10",
         "pnpm": ">= 9"
       }
-    },
-    "node_modules/@next/swc-darwin-x64": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-15.0.2.tgz",
-      "integrity": "sha512-KUpBVxIbjzFiUZhiLIpJiBoelqzQtVZbdNNsehhUn36e2YzKHphnK8eTUW1s/4aPy5kH/UTid8IuVbaOpedhpw==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-linux-arm64-gnu": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-15.0.2.tgz",
-      "integrity": "sha512-9J7TPEcHNAZvwxXRzOtiUvwtTD+fmuY0l7RErf8Yyc7kMpE47MIQakl+3jecmkhOoIyi/Rp+ddq7j4wG6JDskQ==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-linux-arm64-musl": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-15.0.2.tgz",
-      "integrity": "sha512-BjH4ZSzJIoTTZRh6rG+a/Ry4SW0HlizcPorqNBixBWc3wtQtj4Sn9FnRZe22QqrPnzoaW0ctvSz4FaH4eGKMww==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-linux-x64-gnu": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-15.0.2.tgz",
-      "integrity": "sha512-i3U2TcHgo26sIhcwX/Rshz6avM6nizrZPvrDVDY1bXcLH1ndjbO8zuC7RoHp0NSK7wjJMPYzm7NYL1ksSKFreA==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-linux-x64-musl": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-15.0.2.tgz",
-      "integrity": "sha512-AMfZfSVOIR8fa+TXlAooByEF4OB00wqnms1sJ1v+iu8ivwvtPvnkwdzzFMpsK5jA2S9oNeeQ04egIWVb4QWmtQ==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-win32-arm64-msvc": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-15.0.2.tgz",
-      "integrity": "sha512-JkXysDT0/hEY47O+Hvs8PbZAeiCQVxKfGtr4GUpNAhlG2E0Mkjibuo8ryGD29Qb5a3IOnKYNoZlh/MyKd2Nbww==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@next/swc-win32-x64-msvc": {
-      "version": "15.0.2",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-15.0.2.tgz",
-      "integrity": "sha512-foaUL0NqJY/dX0Pi/UcZm5zsmSk5MtP/gxx3xOPyREkMFN+CTjctPfu3QaqrQHinaKdPnMWPJDKt4VjDfTBe/Q==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
     }
   }
 }
diff --git a/examples/chat/chat-app/package.json b/examples/chat/chat-app/package.json
index ab76050b..7ee1f1dd 100644
--- a/examples/chat/chat-app/package.json
+++ b/examples/chat/chat-app/package.json
@@ -10,7 +10,7 @@
   },
   "dependencies": {
     "@radix-ui/react-collapsible": "^1.1.1",
-    "@radix-ui/react-scroll-area": "^1.2.0",
+    "@radix-ui/react-scroll-area": "^1.2.1",
     "@radix-ui/react-slot": "^1.1.0",
     "@radix-ui/react-tabs": "^1.1.1",
     "class-variance-authority": "^0.7.0",
diff --git a/examples/chat/chat-app/src/components/ChatSection.tsx b/examples/chat/chat-app/src/components/ChatSection.tsx
index bc00150b..96a123e2 100644
--- a/examples/chat/chat-app/src/components/ChatSection.tsx
+++ b/examples/chat/chat-app/src/components/ChatSection.tsx
@@ -21,7 +21,13 @@ interface ChatSectionProps {
 }
 
 interface Message {
-  role: "assistant" | "user" | "observation";
+  role:
+    | "assistant"
+    | "conversation"
+    | "coder"
+    | "planner"
+    | "user"
+    | "observation";
   content: string;
   media?: string[];
 }
@@ -64,7 +70,8 @@ const checkContent = (content: string) => {
   return !(finalizePlanMatch || finalCodeMatch);
 };
 
-const formatAssistantContent = (content: string) => {
+const formatAssistantContent = (role: string, content: string) => {
+  const responseMatch = content.match(/<response>(.*?)<\/response>/s);
   const thinkingMatch = content.match(/<thinking>(.*?)<\/thinking>/s);
   const pythonMatch = content.match(/<execute_python>(.*?)<\/execute_python>/s);
   const finalPlanJsonMatch = content.match(/<json>(.*?)<\/json>/s);
@@ -72,10 +79,13 @@ const formatAssistantContent = (content: string) => {
   const finalPlanJson = JSON.parse(
     finalPlanJsonMatch ? finalPlanJsonMatch[1] : "{}",
   );
+
   if ("plan" in finalPlanJson && "instructions" in finalPlanJson) {
     return (
       <>
-        <div>{finalPlanJson.plan}</div>
+        <div>
+          <strong className="text-gray-700">[{role.toUpperCase()}]</strong> {finalPlanJson.plan}
+        </div>
         <pre className="bg-gray-800 text-white p-1.5 rounded mt-2 overflow-x-auto text-xs">
           <code style={{ whiteSpace: "pre-wrap" }}>
             {Array.isArray(finalPlanJson.instructions)
@@ -87,10 +97,19 @@ const formatAssistantContent = (content: string) => {
     );
   }
 
-  if (thinkingMatch || pythonMatch) {
+  if (responseMatch || thinkingMatch || pythonMatch) {
     return (
       <>
-        {thinkingMatch && <div>{thinkingMatch[1]}</div>}
+        {thinkingMatch && (
+          <div>
+            <strong className="text-gray-700">[{role.toUpperCase()}]</strong> {thinkingMatch[1]}
+          </div>
+        )}
+        {responseMatch && (
+          <div>
+            <strong className="text-gray-700">[{role.toUpperCase()}]</strong> {responseMatch[1]}
+          </div>
+        )}
         {pythonMatch && (
           <pre className="bg-gray-800 text-white p-1.5 rounded mt-2 overflow-x-auto text-xs">
             <code>{pythonMatch[1].trim()}</code>
@@ -115,8 +134,11 @@ export function MessageBubble({ message }: MessageBubbleProps) {
     >
       {message.role === "observation" ? (
         <CollapsibleMessage content={message.content} />
-      ) : message.role === "assistant" ? (
-        formatAssistantContent(message.content)
+      ) : message.role === "assistant" ||
+        message.role === "conversation" ||
+        message.role === "planner" ||
+        message.role === "coder" ? (
+        formatAssistantContent(message.role, message.content)
       ) : (
         message.content
       )}
@@ -133,7 +155,6 @@ export function ChatSection({
   onUploadedResult,
 }: ChatSectionProps) {
   const [messages, setMessages] = useState<Message[]>([]);
-  const [ws, setWs] = useState<WebSocket | null>(null);
 
   const handleSubmit = async (e: React.FormEvent) => {
     e.preventDefault();
diff --git a/examples/chat/chat-app/src/components/ui/card.tsx b/examples/chat/chat-app/src/components/ui/card.tsx
index afa13ecf..f62edea5 100644
--- a/examples/chat/chat-app/src/components/ui/card.tsx
+++ b/examples/chat/chat-app/src/components/ui/card.tsx
@@ -30,10 +30,10 @@ const CardHeader = React.forwardRef<
 CardHeader.displayName = "CardHeader"
 
 const CardTitle = React.forwardRef<
-  HTMLParagraphElement,
-  React.HTMLAttributes<HTMLHeadingElement>
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
 >(({ className, ...props }, ref) => (
-  <h3
+  <div
     ref={ref}
     className={cn(
       "text-2xl font-semibold leading-none tracking-tight",
@@ -45,10 +45,10 @@ const CardTitle = React.forwardRef<
 CardTitle.displayName = "CardTitle"
 
 const CardDescription = React.forwardRef<
-  HTMLParagraphElement,
-  React.HTMLAttributes<HTMLParagraphElement>
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
 >(({ className, ...props }, ref) => (
-  <p
+  <div
     ref={ref}
     className={cn("text-sm text-muted-foreground", className)}
     {...props}
diff --git a/poetry.lock b/poetry.lock
index 48e4ae08..da1182cc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -38,13 +38,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
 ]
 
 [package.dependencies]
@@ -54,9 +54,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "appnope"
@@ -191,33 +191,33 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "black"
-version = "24.8.0"
+version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -231,7 +231,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
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+    {file = "debugpy-1.8.8-cp39-cp39-win_amd64.whl", hash = "sha256:5c0e5a38c7f9b481bf31277d2f74d2109292179081f11108e668195ef926c0f9"},
+    {file = "debugpy-1.8.8-py2.py3-none-any.whl", hash = "sha256:ec684553aba5b4066d4de510859922419febc710df7bba04fe9e7ef3de15d34f"},
+    {file = "debugpy-1.8.8.zip", hash = "sha256:e6355385db85cbd666be703a96ab7351bc9e6c61d694893206f8001e22aee091"},
 ]
 
 [[package]]
@@ -634,13 +653,13 @@ files = [
 
 [[package]]
 name = "distlib"
-version = "0.3.8"
+version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 files = [
-    {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
-    {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
+    {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
+    {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
 ]
 
 [[package]]
@@ -656,13 +675,13 @@ files = [
 
 [[package]]
 name = "e2b"
-version = "0.17.2a57"
+version = "0.17.2a62"
 description = "E2B SDK that give agents cloud environments"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "e2b-0.17.2a57-py3-none-any.whl", hash = "sha256:db1bfd4cb65d10833faab2df386db35ed3fd7ab1ebee452414d8d006da848119"},
-    {file = "e2b-0.17.2a57.tar.gz", hash = "sha256:92f77fdfa646ad83a40ed1e7bdc3c25fd76238eea016a5c96668f5f6d9807548"},
+    {file = "e2b-0.17.2a62-py3-none-any.whl", hash = "sha256:6284586632db3114007bc4d395d7b8e46d5cfbea275e1cfb5b4a116a88cc9fa4"},
+    {file = "e2b-0.17.2a62.tar.gz", hash = "sha256:5b2f3fb849697429c907dbc8c1d9fe5fea92020004b2e4ba19b550abcad3eaa5"},
 ]
 
 [package.dependencies]
@@ -734,18 +753,18 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.16.0"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"},
-    {file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
@@ -839,13 +858,13 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "fsspec"
-version = "2024.9.0"
+version = "2024.10.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
-    {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
+    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
+    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
 ]
 
 [package.extras]
@@ -920,13 +939,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
-    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
+    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
+    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
 ]
 
 [package.dependencies]
@@ -937,7 +956,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
@@ -966,13 +985,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.6"
+version = "0.26.2"
 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-0.24.6-py3-none-any.whl", hash = "sha256:a990f3232aa985fe749bc9474060cbad75e8b2f115f6665a9fda5b9c97818970"},
-    {file = "huggingface_hub-0.24.6.tar.gz", hash = "sha256:cc2579e761d070713eaa9c323e3debe39d5b464ae3a7261c39a9195b27bb8000"},
+    {file = "huggingface_hub-0.26.2-py3-none-any.whl", hash = "sha256:98c2a5a8e786c7b2cb6fdeb2740893cba4d53e312572ed3d8afafda65b128c46"},
+    {file = "huggingface_hub-0.26.2.tar.gz", hash = "sha256:b100d853465d965733964d123939ba287da60a547087783ddff8a323f340332b"},
 ]
 
 [package.dependencies]
@@ -985,28 +1004,28 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "identify"
-version = "2.6.0"
+version = "2.6.2"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"},
-    {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"},
+    {file = "identify-2.6.2-py2.py3-none-any.whl", hash = "sha256:c097384259f49e372f4ea00a19719d95ae27dd5ff0fd77ad630aa891306b82f3"},
+    {file = "identify-2.6.2.tar.gz", hash = "sha256:fab5c716c24d7a789775228823797296a2994b075fb6080ac83a102772a98cbd"},
 ]
 
 [package.extras]
@@ -1014,24 +1033,27 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
-    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "imageio"
-version = "2.35.1"
+version = "2.36.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "imageio-2.35.1-py3-none-any.whl", hash = "sha256:6eb2e5244e7a16b85c10b5c2fe0f7bf961b40fcb9f1a9fd1bd1d2c2f8fb3cd65"},
-    {file = "imageio-2.35.1.tar.gz", hash = "sha256:4952dfeef3c3947957f6d5dedb1f4ca31c6e509a476891062396834048aeed2a"},
+    {file = "imageio-2.36.0-py3-none-any.whl", hash = "sha256:471f1eda55618ee44a3c9960911c35e647d9284c68f077e868df633398f137f0"},
+    {file = "imageio-2.36.0.tar.gz", hash = "sha256:1c8f294db862c256e9562354d65aa54725b8dafed7f10f02bb3ec20ec1678850"},
 ]
 
 [package.dependencies]
@@ -1039,8 +1061,8 @@ numpy = "*"
 pillow = ">=8.3.2"
 
 [package.extras]
-all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"]
-all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
 build = ["wheel"]
 dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
 docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
@@ -1058,22 +1080,48 @@ tifffile = ["tifffile"]
 
 [[package]]
 name = "importlib-metadata"
-version = "8.4.0"
+version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
-    {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
+    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
+    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
 ]
 
 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
+[[package]]
+name = "importlib-resources"
+version = "6.4.5"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
@@ -1194,22 +1242,22 @@ colors = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "jedi"
-version = "0.19.1"
+version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
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+parso = ">=0.8.4,<0.9.0"
 
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-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
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 ]
 
 [[package]]
@@ -1872,13 +1944,13 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.34"
+version = "9.5.45"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -2561,13 +2647,13 @@ tests-min = ["defusedxml", "packaging", "pytest"]
 
 [[package]]
 name = "platformdirs"
-version = "4.3.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2610,13 +2696,13 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prompt-toolkit"
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+version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2624,52 +2710,53 @@ wcwidth = "*"
 
 [[package]]
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 description = ""
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 python-versions = ">=3.8"
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 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
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 ]
 
 [package.extras]
-test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+dev = ["black", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest-cov", "requests", "rstcheck", "ruff", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "wheel"]
+test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
 name = "ptyprocess"
@@ -2830,13 +2917,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.5.0"
+version = "2.6.1"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2875,13 +2962,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.9"
+version = "10.12"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2968,36 +3055,40 @@ files = [
 
 [[package]]
 name = "pytz"
-version = "2024.1"
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-toolbelt"
+version = "1.0.0"
+description = "A utility belt for advanced users of python-requests"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+]
+
+[package.dependencies]
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+
 [[package]]
 name = "responses"
 version = "0.23.3"
@@ -3343,132 +3463,120 @@ tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=7.0.0)", "pytest-asy
 
 [[package]]
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 [package.extras]
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 [package.dependencies]
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 [[package]]
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-version = "2.0.1"
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 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
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 [[package]]
@@ -3819,13 +3939,13 @@ files = [
 
 [[package]]
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-version = "4.66.5"
+version = "4.67.0"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
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@@ -3833,6 +3953,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
@@ -3865,24 +3986,24 @@ files = [
 
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.20240808"
+version = "6.0.12.20240917"
 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-PyYAML-6.0.12.20240808.tar.gz", hash = "sha256:b8f76ddbd7f65440a8bda5526a9607e4c7a322dc2f8e1a8c405644f9a6f4b9af"},
-    {file = "types_PyYAML-6.0.12.20240808-py3-none-any.whl", hash = "sha256:deda34c5c655265fc517b546c902aa6eed2ef8d3e921e4765fe606fe2afe8d35"},
+    {file = "types-PyYAML-6.0.12.20240917.tar.gz", hash = "sha256:d1405a86f9576682234ef83bcb4e6fff7c9305c8b1fbad5e0bcd4f7dbdc9c587"},
+    {file = "types_PyYAML-6.0.12.20240917-py3-none-any.whl", hash = "sha256:392b267f1c0fe6022952462bf5d6523f31e37f6cea49b14cee7ad634b6301570"},
 ]
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240907"
+version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.32.0.20240907.tar.gz", hash = "sha256:ff33935f061b5e81ec87997e91050f7b4af4f82027a7a7a9d9aaea04a963fdf8"},
-    {file = "types_requests-2.32.0.20240907-py3-none-any.whl", hash = "sha256:1d1e79faeaf9d42def77f3c304893dea17a97cae98168ac69f3cb465516ee8da"},
+    {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
+    {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
 ]
 
 [package.dependencies]
@@ -3901,15 +4022,18 @@ files = [
 
 [[package]]
 name = "types-tqdm"
-version = "4.66.0.20240417"
+version = "4.67.0.20241119"
 description = "Typing stubs for tqdm"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-tqdm-4.66.0.20240417.tar.gz", hash = "sha256:16dce9ef522ea8d40e4f5b8d84dd8a1166eefc13ceee7a7e158bf0f1a1421a31"},
-    {file = "types_tqdm-4.66.0.20240417-py3-none-any.whl", hash = "sha256:248aef1f9986b7b8c2c12b3cb4399fc17dba0a29e7e3f3f9cd704babb879383d"},
+    {file = "types-tqdm-4.67.0.20241119.tar.gz", hash = "sha256:1769e0e94d5e6d8fa814965f9cf3d9928376dd15dabcbcb784bb8769081092b4"},
+    {file = "types_tqdm-4.67.0.20241119-py3-none-any.whl", hash = "sha256:a18d4eb62db0d35c52707ae13d821b5a57970755273ecb56e133ccc0ac7e7c79"},
 ]
 
+[package.dependencies]
+types-requests = "*"
+
 [[package]]
 name = "typing-extensions"
 version = "4.12.2"
@@ -3923,24 +4047,24 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
-    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
+    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
-    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
+    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
+    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
@@ -3951,13 +4075,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.26.4"
+version = "20.27.1"
 description = "Virtual Python Environment builder"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "virtualenv-20.26.4-py3-none-any.whl", hash = "sha256:48f2695d9809277003f30776d155615ffc11328e6a0a8c1f0ec80188d7874a55"},
-    {file = "virtualenv-20.26.4.tar.gz", hash = "sha256:c17f4e0f3e6036e9f26700446f85c76ab11df65ff6d8a9cbfad9f71aabfcf23c"},
+    {file = "virtualenv-20.27.1-py3-none-any.whl", hash = "sha256:f11f1b8a29525562925f745563bfd48b189450f61fb34c4f9cc79dd5aa32a1f4"},
+    {file = "virtualenv-20.27.1.tar.gz", hash = "sha256:142c6be10212543b32c6c45d3d3893dff89112cc588b7d0879ae5a1ec03a47ba"},
 ]
 
 [package.dependencies]
@@ -3971,41 +4095,41 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "watchdog"
-version = "5.0.2"
+version = "6.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
+    {file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
+    {file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
+    {file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
+    {file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
 ]
 
 [package.extras]
@@ -4024,13 +4148,13 @@ files = [
 
 [[package]]
 name = "zipp"
-version = "3.20.1"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
-    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
diff --git a/vision_agent/agent/__init__.py b/vision_agent/agent/__init__.py
index 65d20c3f..13341a4d 100644
--- a/vision_agent/agent/__init__.py
+++ b/vision_agent/agent/__init__.py
@@ -1,4 +1,4 @@
-from .agent import Agent
+from .agent import Agent, AgentCoder, AgentPlanner
 from .vision_agent import VisionAgent
 from .vision_agent_coder import (
     AnthropicVisionAgentCoder,
@@ -17,3 +17,4 @@
     VisionAgentPlanner,
 )
 from .vision_agent_planner_v2 import VisionAgentPlannerV2
+from .vision_agent_v2 import VisionAgentV2
diff --git a/vision_agent/agent/agent.py b/vision_agent/agent/agent.py
index ca2cf181..8617afe7 100644
--- a/vision_agent/agent/agent.py
+++ b/vision_agent/agent/agent.py
@@ -2,7 +2,9 @@
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Union
 
+from vision_agent.agent.types import AgentMessage, CodeContext, PlanContext
 from vision_agent.lmm.types import Message
+from vision_agent.utils.execute import CodeInterpreter
 
 
 class Agent(ABC):
@@ -20,3 +22,34 @@ def log_progress(self, data: Dict[str, Any]) -> None:
         This is a hook that is intended for reporting the progress of the agent.
         """
         pass
+
+
+class AgentCoder(Agent):
+    @abstractmethod
+    def generate_code(
+        self,
+        chat: List[AgentMessage],
+        max_steps: Optional[int] = None,
+        code_interpreter: Optional[CodeInterpreter] = None,
+    ) -> CodeContext:
+        pass
+
+    @abstractmethod
+    def generate_code_from_plan(
+        self,
+        chat: List[AgentMessage],
+        plan_context: PlanContext,
+        code_interpreter: Optional[CodeInterpreter] = None,
+    ) -> CodeContext:
+        pass
+
+
+class AgentPlanner(Agent):
+    @abstractmethod
+    def generate_plan(
+        self,
+        chat: List[AgentMessage],
+        max_steps: Optional[int] = None,
+        code_interpreter: Optional[CodeInterpreter] = None,
+    ) -> PlanContext:
+        pass
diff --git a/vision_agent/agent/agent_utils.py b/vision_agent/agent/agent_utils.py
index 78687a58..2684a588 100644
--- a/vision_agent/agent/agent_utils.py
+++ b/vision_agent/agent/agent_utils.py
@@ -4,16 +4,17 @@
 import re
 import sys
 import tempfile
-from typing import Any, Dict, List, Optional, Tuple, cast
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple, Union, cast
 
 import libcst as cst
-from pydantic import BaseModel
 from rich.console import Console
 from rich.style import Style
 from rich.syntax import Syntax
 from rich.table import Table
 
 import vision_agent.tools as T
+from vision_agent.agent.types import AgentMessage, PlanContext
 from vision_agent.lmm.types import Message
 from vision_agent.utils.execute import CodeInterpreter, Execution
 from vision_agent.utils.image_utils import b64_to_pil, convert_to_b64
@@ -24,19 +25,6 @@
 _MAX_TABULATE_COL_WIDTH = 80
 
 
-class PlanContext(BaseModel):
-    plan: str
-    instructions: List[str]
-    code: str
-
-
-class CodeContext(BaseModel):
-    code: str
-    test: str
-    success: bool
-    test_result: Execution
-
-
 def _extract_sub_json(json_str: str) -> Optional[Dict[str, Any]]:
     json_pattern = r"\{.*\}"
     match = re.search(json_pattern, json_str, re.DOTALL)
@@ -228,15 +216,15 @@ def print_table(title: str, columns: List[str], rows: List[List[str]]) -> None:
 
 
 def add_media_to_chat(
-    chat: List[Message], code_interpreter: CodeInterpreter
-) -> Tuple[List[Message], List[Message], List[str]]:
+    chat: List[AgentMessage], code_interpreter: Optional[CodeInterpreter] = None
+) -> Tuple[List[AgentMessage], List[AgentMessage], List[Union[str, Path]]]:
     orig_chat = copy.deepcopy(chat)
     int_chat = copy.deepcopy(chat)
-    media_list = []
+    media_list: List[Union[str, Path]] = []
     for chat_i in int_chat:
-        if "media" in chat_i:
-            media_list_i = []
-            for media in chat_i["media"]:
+        if chat_i.media is not None:
+            media_list_i: List[Union[str, Path]] = []
+            for media in chat_i.media:
                 if isinstance(media, str) and media.startswith("data:image/"):
                     media_pil = b64_to_pil(media)
                     with tempfile.NamedTemporaryFile(
@@ -244,25 +232,29 @@ def add_media_to_chat(
                     ) as temp_file:
                         media_pil.save(temp_file, format="PNG")
                         media = str(temp_file.name)
-                media = str(code_interpreter.upload_file(media))  # type: ignore
+                if code_interpreter is not None:
+                    media = str(code_interpreter.upload_file(media))
                 media_list_i.append(media)
-                # don't duplicate appending media name
-                if not str(chat_i["content"]).endswith(f" Media name {media}"):
-                    chat_i["content"] += f" Media name {media}"  # type: ignore
-            chat_i["media"] = media_list_i
+                # don't duplicate appending media name and only add them for user messages
+                if (
+                    not str(chat_i.content).endswith(f" Media name {media}")
+                    and chat_i.role == "user"
+                ):
+                    chat_i.content += f" Media name {media}"
+            chat_i.media = media_list_i if len(media_list_i) > 0 else None
             media_list.extend(media_list_i)
 
     int_chat = cast(
-        List[Message],
+        List[AgentMessage],
         [
             (
-                {
-                    "role": c["role"],
-                    "content": c["content"],
-                    "media": c["media"],
-                }
-                if "media" in c
-                else {"role": c["role"], "content": c["content"]}
+                AgentMessage(
+                    role=c.role,
+                    content=c.content,
+                    media=c.media,
+                )
+                if c.media is not None
+                else AgentMessage(role=c.role, content=c.content, media=None)
             )
             for c in int_chat
         ],
@@ -283,6 +275,27 @@ def capture_media_from_exec(execution: Execution) -> List[str]:
     return images
 
 
+def convert_message_to_agentmessage(
+    input: Union[str, List[Message]],
+    media: Optional[Union[str, Path]] = None,
+) -> List[AgentMessage]:
+    if isinstance(input, str):
+        input_msg = [
+            AgentMessage(
+                role="user",
+                content=input,
+                media=([media] if media is not None else None),
+            )
+        ]
+    else:
+        input_msg = [
+            AgentMessage(role=msg["role"], content=msg["content"], media=None)
+            for msg in input
+        ]
+        input_msg[0].media = [media] if media is not None else None
+    return input_msg
+
+
 def strip_function_calls(  # noqa: C901
     code: str, exclusions: Optional[List[str]] = None
 ) -> str:
diff --git a/vision_agent/agent/types.py b/vision_agent/agent/types.py
new file mode 100644
index 00000000..f87afbdf
--- /dev/null
+++ b/vision_agent/agent/types.py
@@ -0,0 +1,51 @@
+from pathlib import Path
+from typing import List, Literal, Optional, Union
+
+from pydantic import BaseModel
+
+from vision_agent.utils.execute import Execution
+
+
+class AgentMessage(BaseModel):
+    """AgentMessage encompases messages sent to the entire Agentic system, which includes
+    both LMMs and sub-agents.
+
+    user: The user's message.
+    assistant: The assistant's message.
+    observation: An observation made after conducting an action, either by the user or
+        assistant.
+    interaction: An interaction between the user and the assistant. For example if the
+        assistant wants to ask the user for help on a task, it could send an
+        interaction message.
+    conversation: Messages coming from the conversation agent, this is a type of
+        assistant messages.
+    planner: Messages coming from the planner agent, this is a type of assistant
+        messages.
+    coder: Messages coming from the coder agent, this is a type of assistant messages.
+
+    """
+
+    role: Union[
+        Literal["user"],
+        Literal["assistant"],  # planner, coder and conversation are of type assistant
+        Literal["observation"],
+        Literal["interaction"],
+        Literal["conversation"],
+        Literal["planner"],
+        Literal["coder"],
+    ]
+    content: str
+    media: Optional[List[Union[str, Path]]] = None
+
+
+class PlanContext(BaseModel):
+    plan: str
+    instructions: List[str]
+    code: str
+
+
+class CodeContext(BaseModel):
+    code: str
+    test: str
+    success: bool
+    test_result: Execution
diff --git a/vision_agent/agent/vision_agent_coder_v2.py b/vision_agent/agent/vision_agent_coder_v2.py
index 9f1150eb..6e463d51 100644
--- a/vision_agent/agent/vision_agent_coder_v2.py
+++ b/vision_agent/agent/vision_agent_coder_v2.py
@@ -6,19 +6,19 @@
 from rich.markup import escape
 
 import vision_agent.tools as T
-from vision_agent.agent import Agent
+from vision_agent.agent import AgentCoder, AgentPlanner
 from vision_agent.agent.agent_utils import (
-    CodeContext,
     DefaultImports,
-    PlanContext,
     add_media_to_chat,
     capture_media_from_exec,
+    convert_message_to_agentmessage,
     extract_tag,
     format_feedback,
     format_plan_v2,
     print_code,
     strip_function_calls,
 )
+from vision_agent.agent.types import AgentMessage, CodeContext, PlanContext
 from vision_agent.agent.vision_agent_coder_prompts_v2 import CODE, FIX_BUG, TEST
 from vision_agent.agent.vision_agent_planner_v2 import VisionAgentPlannerV2
 from vision_agent.lmm import LMM, AnthropicLMM
@@ -34,6 +34,12 @@
 _CONSOLE = Console()
 
 
+def format_code_context(
+    code_context: CodeContext,
+) -> str:
+    return f"<final_code>{code_context.code}</final_code>\n<final_test>{code_context.test}</final_test>"
+
+
 def retrieve_tools(
     plan: List[str],
     tool_recommender: Sim,
@@ -49,46 +55,54 @@ def retrieve_tools(
 
 def write_code(
     coder: LMM,
-    chat: List[Message],
+    chat: List[AgentMessage],
     tool_docs: str,
     plan: str,
 ) -> str:
     chat = copy.deepcopy(chat)
-    if chat[-1]["role"] != "user":
+    if chat[-1].role != "user":
         raise ValueError("Last chat message must be from the user.")
 
-    user_request = chat[-1]["content"]
+    user_request = chat[-1].content
     prompt = CODE.format(
         docstring=tool_docs,
         question=user_request,
         plan=plan,
     )
-    chat[-1]["content"] = prompt
-    response = coder(chat, stream=False)
-    return extract_tag(response, "code")  # type: ignore
+    response = cast(str, coder([{"role": "user", "content": prompt}], stream=False))
+    maybe_code = extract_tag(response, "code")
+
+    # if the response wasn't properly formatted with the code tags just retrun the response
+    if maybe_code is None:
+        return response
+    return maybe_code
 
 
 def write_test(
     tester: LMM,
-    chat: List[Message],
+    chat: List[AgentMessage],
     tool_util_docs: str,
     code: str,
     media_list: Optional[Sequence[Union[str, Path]]] = None,
 ) -> str:
     chat = copy.deepcopy(chat)
-    if chat[-1]["role"] != "user":
+    if chat[-1].role != "user":
         raise ValueError("Last chat message must be from the user.")
 
-    user_request = chat[-1]["content"]
+    user_request = chat[-1].content
     prompt = TEST.format(
         docstring=tool_util_docs,
         question=user_request,
         code=code,
         media=media_list,
     )
-    chat[-1]["content"] = prompt
-    response = tester(chat, stream=False)
-    return extract_tag(response, "code")  # type: ignore
+    response = cast(str, tester([{"role": "user", "content": prompt}], stream=False))
+    maybe_code = extract_tag(response, "code")
+
+    # if the response wasn't properly formatted with the code tags just retrun the response
+    if maybe_code is None:
+        return response
+    return maybe_code
 
 
 def debug_code(
@@ -170,12 +184,11 @@ def write_and_test_code(
     coder: LMM,
     tester: LMM,
     debugger: LMM,
-    chat: List[Message],
+    chat: List[AgentMessage],
     plan: str,
     tool_docs: str,
     code_interpreter: CodeInterpreter,
     media_list: List[Union[str, Path]],
-    update_callback: Callable[[Dict[str, Any]], None],
     verbose: bool,
 ) -> CodeContext:
     code = write_code(
@@ -226,14 +239,6 @@ def write_and_test_code(
                 f"[bold cyan]Code execution result after attempted fix:[/bold cyan] [yellow]{escape(result.text(include_logs=True))}[/yellow]"
             )
 
-    update_callback(
-        {
-            "role": "assistant",
-            "content": f"<final_code>{DefaultImports.to_code_string()}\n{code}</final_code>\n<final_test>{DefaultImports.to_code_string()}\n{test}</final_test>",
-            "media": capture_media_from_exec(result),
-        }
-    )
-
     return CodeContext(
         code=f"{DefaultImports.to_code_string()}\n{code}",
         test=f"{DefaultImports.to_code_string()}\n{test}",
@@ -242,10 +247,12 @@ def write_and_test_code(
     )
 
 
-class VisionAgentCoderV2(Agent):
+class VisionAgentCoderV2(AgentCoder):
+    """VisionAgentCoderV2 is an agent that will write vision code for you."""
+
     def __init__(
         self,
-        planner: Optional[Agent] = None,
+        planner: Optional[AgentPlanner] = None,
         coder: Optional[LMM] = None,
         tester: Optional[LMM] = None,
         debugger: Optional[LMM] = None,
@@ -254,6 +261,25 @@ def __init__(
         code_sandbox_runtime: Optional[str] = None,
         update_callback: Callable[[Dict[str, Any]], None] = lambda _: None,
     ) -> None:
+        """Initialize the VisionAgentCoderV2.
+
+        Parameters:
+            planner (Optional[AgentPlanner]): The planner agent to use for generating
+                vision plans. If None, a default VisionAgentPlannerV2 will be used.
+            coder (Optional[LMM]): The language model to use for the coder agent. If
+                None, a default AnthropicLMM will be used.
+            tester (Optional[LMM]): The language model to use for the tester agent. If
+                None, a default AnthropicLMM will be used.
+            debugger (Optional[LMM]): The language model to use for the debugger agent.
+            tool_recommender (Optional[Union[str, Sim]]): The tool recommender to use.
+            verbose (bool): Whether to print out debug information.
+            code_sandbox_runtime (Optional[str]): The code sandbox runtime to use, can
+                be one of: None, "local" or "e2b". If None, it will read from the
+                environment variable CODE_SANDBOX_RUNTIME.
+            update_callback (Callable[[Dict[str, Any]], None]): The callback function
+                that will send back intermediate conversation messages.
+        """
+
         self.planner = (
             planner
             if planner is not None
@@ -290,20 +316,52 @@ def __call__(
         self,
         input: Union[str, List[Message]],
         media: Optional[Union[str, Path]] = None,
-    ) -> Union[str, List[Message]]:
-        if isinstance(input, str):
-            input = [{"role": "user", "content": input}]
-        if media is not None:
-            input[0]["media"] = [media]
-        return self.generate_code(input).code
-
-    def generate_code(self, chat: List[Message]) -> CodeContext:
+    ) -> str:
+        """Generate vision code from a conversation.
+
+        Parameters:
+            input (Union[str, List[Message]]): The input to the agent. This can be a
+                string or a list of messages in the format of [{"role": "user",
+                "content": "describe your task here..."}, ...].
+            media (Optional[Union[str, Path]]): The path to the media file to use with
+                the input. This can be an image or video file.
+
+        Returns:
+            str: The generated code as a string.
+        """
+
+        input_msg = convert_message_to_agentmessage(input, media)
+        return self.generate_code(input_msg).code
+
+    def generate_code(
+        self,
+        chat: List[AgentMessage],
+        max_steps: Optional[int] = None,
+        code_interpreter: Optional[CodeInterpreter] = None,
+    ) -> CodeContext:
+        """Generate vision code from a conversation.
+
+        Parameters:
+            chat (List[AgentMessage]): The input to the agent. This should be a list of
+                AgentMessage objects.
+            code_interpreter (Optional[CodeInterpreter]): The code interpreter to use.
+
+        Returns:
+            CodeContext: The generated code as a CodeContext object which includes the
+                code, test code, whether or not it was exceuted successfully, and the
+                execution result.
+        """
+
         chat = copy.deepcopy(chat)
-        with CodeInterpreterFactory.new_instance(
-            self.code_sandbox_runtime
+        with (
+            CodeInterpreterFactory.new_instance(self.code_sandbox_runtime)
+            if code_interpreter is None
+            else code_interpreter
         ) as code_interpreter:
             int_chat, orig_chat, _ = add_media_to_chat(chat, code_interpreter)
-            plan_context = self.planner.generate_plan(int_chat, code_interpreter)  # type: ignore
+            plan_context = self.planner.generate_plan(
+                int_chat, max_steps=max_steps, code_interpreter=code_interpreter
+            )
             code_context = self.generate_code_from_plan(
                 orig_chat,
                 plan_context,
@@ -313,13 +371,30 @@ def generate_code(self, chat: List[Message]) -> CodeContext:
 
     def generate_code_from_plan(
         self,
-        chat: List[Message],
+        chat: List[AgentMessage],
         plan_context: PlanContext,
         code_interpreter: Optional[CodeInterpreter] = None,
     ) -> CodeContext:
+        """Generate vision code from a conversation and a previously made plan. This
+        will skip the planning step and go straight to generating code.
+
+        Parameters:
+            chat (List[AgentMessage]): The input to the agent. This should be a list of
+                AgentMessage objects.
+            plan_context (PlanContext): The plan context that was previously generated.
+            code_interpreter (Optional[CodeInterpreter]): The code interpreter to use.
+
+        Returns:
+            CodeContext: The generated code as a CodeContext object which includes the
+                code, test code, whether or not it was exceuted successfully, and the
+                execution result.
+        """
+
         chat = copy.deepcopy(chat)
-        with CodeInterpreterFactory.new_instance(
-            self.code_sandbox_runtime
+        with (
+            CodeInterpreterFactory.new_instance(self.code_sandbox_runtime)
+            if code_interpreter is None
+            else code_interpreter
         ) as code_interpreter:
             int_chat, _, media_list = add_media_to_chat(chat, code_interpreter)
             tool_docs = retrieve_tools(plan_context.instructions, self.tool_recommender)
@@ -331,10 +406,23 @@ def generate_code_from_plan(
                 plan=format_plan_v2(plan_context),
                 tool_docs=tool_docs,
                 code_interpreter=code_interpreter,
-                media_list=media_list,  # type: ignore
-                update_callback=self.update_callback,
+                media_list=media_list,
                 verbose=self.verbose,
             )
+
+        self.update_callback(
+            {
+                "role": "coder",
+                "content": format_code_context(code_context),
+                "media": capture_media_from_exec(code_context.test_result),
+            }
+        )
+        self.update_callback(
+            {
+                "role": "observation",
+                "content": code_context.test_result.text(),
+            }
+        )
         return code_context
 
     def log_progress(self, data: Dict[str, Any]) -> None:
diff --git a/vision_agent/agent/vision_agent_planner_prompts_v2.py b/vision_agent/agent/vision_agent_planner_prompts_v2.py
index c56ec5d0..42676167 100644
--- a/vision_agent/agent/vision_agent_planner_prompts_v2.py
+++ b/vision_agent/agent/vision_agent_planner_prompts_v2.py
@@ -389,7 +389,7 @@ def merge_bounding_box_list(bboxes):
 print(f"{len(objects_with_tape)} boxes with tape found")
 </execute_python>
 
-OBJERVATION:
+OBSERVATION:
 3 boxes were tracked
 2 boxes with tape found
 <count>6</count>
diff --git a/vision_agent/agent/vision_agent_planner_v2.py b/vision_agent/agent/vision_agent_planner_v2.py
index 77fe5633..02a4f8e0 100644
--- a/vision_agent/agent/vision_agent_planner_v2.py
+++ b/vision_agent/agent/vision_agent_planner_v2.py
@@ -1,5 +1,6 @@
 import copy
 import logging
+import time
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from pathlib import Path
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union, cast
@@ -10,16 +11,17 @@
 
 import vision_agent.tools as T
 import vision_agent.tools.planner_tools as pt
-from vision_agent.agent import Agent
+from vision_agent.agent import AgentPlanner
 from vision_agent.agent.agent_utils import (
-    PlanContext,
     add_media_to_chat,
     capture_media_from_exec,
+    convert_message_to_agentmessage,
     extract_json,
     extract_tag,
     print_code,
     print_table,
 )
+from vision_agent.agent.types import AgentMessage, PlanContext
 from vision_agent.agent.vision_agent_planner_prompts_v2 import (
     CRITIQUE_PLAN,
     EXAMPLE_PLAN1,
@@ -70,26 +72,24 @@ def prepend_imports(code: str) -> str:
 
 
 def get_planning(
-    chat: List[Message],
+    chat: List[AgentMessage],
 ) -> str:
     chat = copy.deepcopy(chat)
     planning = ""
     for chat_i in chat:
-        if chat_i["role"] == "user":
-            planning += f"USER: {chat_i['content']}\n\n"
-        elif chat_i["role"] == "observation":
-            planning += f"OBSERVATION: {chat_i['content']}\n\n"
-        elif chat_i["role"] == "assistant":
-            planning += f"ASSISTANT: {chat_i['content']}\n\n"
-        else:
-            raise ValueError(f"Unknown role: {chat_i['role']}")
+        if chat_i.role == "user":
+            planning += f"USER: {chat_i.content}\n\n"
+        elif chat_i.role == "observation":
+            planning += f"OBSERVATION: {chat_i.content}\n\n"
+        elif chat_i.role == "planner":
+            planning += f"AGENT: {chat_i.content}\n\n"
 
     return planning
 
 
 def run_planning(
-    chat: List[Message],
-    media_list: List[str],
+    chat: List[AgentMessage],
+    media_list: List[Union[str, Path]],
     model: LMM,
 ) -> str:
     # only keep last 10 messages for planning
@@ -102,16 +102,16 @@ def run_planning(
     )
 
     message: Message = {"role": "user", "content": prompt}
-    if chat[-1]["role"] == "observation" and "media" in chat[-1]:
-        message["media"] = chat[-1]["media"]
+    if chat[-1].role == "observation" and chat[-1].media is not None:
+        message["media"] = chat[-1].media
 
     response = model.chat([message])
     return cast(str, response)
 
 
 def run_multi_trial_planning(
-    chat: List[Message],
-    media_list: List[str],
+    chat: List[AgentMessage],
+    media_list: List[Union[str, Path]],
     model: LMM,
 ) -> str:
     planning = get_planning(chat)
@@ -123,8 +123,8 @@ def run_multi_trial_planning(
     )
 
     message: Message = {"role": "user", "content": prompt}
-    if chat[-1]["role"] == "observation" and "media" in chat[-1]:
-        message["media"] = chat[-1]["media"]
+    if chat[-1].role == "observation" and chat[-1].media is not None:
+        message["media"] = chat[-1].media
 
     responses = []
     with ThreadPoolExecutor() as executor:
@@ -151,7 +151,9 @@ def run_multi_trial_planning(
         return cast(str, responses[0])
 
 
-def run_critic(chat: List[Message], media_list: List[str], model: LMM) -> Optional[str]:
+def run_critic(
+    chat: List[AgentMessage], media_list: List[Union[str, Path]], model: LMM
+) -> Optional[str]:
     planning = get_planning(chat)
     prompt = CRITIQUE_PLAN.format(
         planning=planning,
@@ -196,17 +198,19 @@ def response_safeguards(response: str) -> str:
 def execute_code_action(
     code: str,
     code_interpreter: CodeInterpreter,
-    chat: List[Message],
+    chat: List[AgentMessage],
     model: LMM,
     verbose: bool = False,
 ) -> Tuple[Execution, str, str]:
     if verbose:
         print_code("Code to Execute:", code)
+    start = time.time()
     execution = code_interpreter.exec_cell(DefaultPlanningImports.prepend_imports(code))
+    end = time.time()
     obs = execution.text(include_results=False).strip()
     if verbose:
         _CONSOLE.print(
-            f"[bold cyan]Code Execution Output:[/bold cyan] [yellow]{escape(obs)}[/yellow]"
+            f"[bold cyan]Code Execution Output ({end - start:.2f} sec):[/bold cyan] [yellow]{escape(obs)}[/yellow]"
         )
 
     count = 1
@@ -246,13 +250,13 @@ def find_and_replace_code(response: str, code: str) -> str:
 def maybe_run_code(
     code: Optional[str],
     response: str,
-    chat: List[Message],
-    media_list: List[str],
+    chat: List[AgentMessage],
+    media_list: List[Union[str, Path]],
     model: LMM,
     code_interpreter: CodeInterpreter,
     verbose: bool = False,
-) -> List[Message]:
-    return_chat: List[Message] = []
+) -> List[AgentMessage]:
+    return_chat: List[AgentMessage] = []
     if code is not None:
         code = code_safeguards(code)
         execution, obs, code = execute_code_action(
@@ -262,30 +266,32 @@ def maybe_run_code(
         # if we had to debug the code to fix an issue, replace the old code
         # with the fixed code in the response
         fixed_response = find_and_replace_code(response, code)
-        return_chat.append({"role": "assistant", "content": fixed_response})
+        return_chat.append(
+            AgentMessage(role="planner", content=fixed_response, media=None)
+        )
 
         media_data = capture_media_from_exec(execution)
-        int_chat_elt: Message = {"role": "observation", "content": obs}
+        int_chat_elt = AgentMessage(role="observation", content=obs, media=None)
         if media_list:
-            int_chat_elt["media"] = media_data
+            int_chat_elt.media = cast(List[Union[str, Path]], media_data)
         return_chat.append(int_chat_elt)
     else:
-        return_chat.append({"role": "assistant", "content": response})
+        return_chat.append(AgentMessage(role="planner", content=response, media=None))
     return return_chat
 
 
 def create_finalize_plan(
-    chat: List[Message],
+    chat: List[AgentMessage],
     model: LMM,
     verbose: bool = False,
-) -> Tuple[List[Message], PlanContext]:
+) -> Tuple[List[AgentMessage], PlanContext]:
     prompt = FINALIZE_PLAN.format(
         planning=get_planning(chat),
         excluded_tools=str([t.__name__ for t in pt.PLANNER_TOOLS]),
     )
     response = model.chat([{"role": "user", "content": prompt}])
     plan_str = cast(str, response)
-    return_chat: List[Message] = [{"role": "assistant", "content": plan_str}]
+    return_chat = [AgentMessage(role="planner", content=plan_str, media=None)]
 
     plan_json = extract_tag(plan_str, "json")
     plan = (
@@ -305,7 +311,16 @@ def create_finalize_plan(
     return return_chat, PlanContext(**plan)
 
 
-class VisionAgentPlannerV2(Agent):
+def get_steps(chat: List[AgentMessage], max_steps: int) -> int:
+    for chat_elt in reversed(chat):
+        if "<count>" in chat_elt.content:
+            return int(extract_tag(chat_elt.content, "count"))  # type: ignore
+    return max_steps
+
+
+class VisionAgentPlannerV2(AgentPlanner):
+    """VisionAgentPlannerV2 is a class that generates a plan to solve a vision task."""
+
     def __init__(
         self,
         planner: Optional[LMM] = None,
@@ -317,6 +332,25 @@ def __init__(
         code_sandbox_runtime: Optional[str] = None,
         update_callback: Callable[[Dict[str, Any]], None] = lambda _: None,
     ) -> None:
+        """Initialize the VisionAgentPlannerV2.
+
+        Parameters:
+            planner (Optional[LMM]): The language model to use for planning. If None, a
+                default AnthropicLMM will be used.
+            critic (Optional[LMM]): The language model to use for critiquing the plan.
+                If None, a default AnthropicLMM will be used.
+            max_steps (int): The maximum number of steps to plan.
+            use_multi_trial_planning (bool): Whether to use multi-trial planning.
+            critique_steps (int): The number of steps between critiques. If critic steps
+                is larger than max_steps no critiques will be made.
+            verbose (bool): Whether to print out debug information.
+            code_sandbox_runtime (Optional[str]): The code sandbox runtime to use, can
+                be one of: None, "local" or "e2b". If None, it will read from the
+                environment variable CODE_SANDBOX_RUNTIME.
+            update_callback (Callable[[Dict[str, Any]], None]): The callback function
+                that will send back intermediate conversation messages.
+        """
+
         self.planner = (
             planner
             if planner is not None
@@ -339,20 +373,42 @@ def __call__(
         self,
         input: Union[str, List[Message]],
         media: Optional[Union[str, Path]] = None,
-    ) -> Union[str, List[Message]]:
-        if isinstance(input, str):
-            if media is not None:
-                input = [{"role": "user", "content": input, "media": [media]}]
-            else:
-                input = [{"role": "user", "content": input}]
-        plan = self.generate_plan(input)
-        return str(plan)
+    ) -> str:
+        """Generate a plan to solve a vision task.
+
+        Parameters:
+            input (Union[str, List[Message]]): The input to the agent. This can be a
+                string or a list of messages in the format of [{"role": "user",
+                "content": "describe your task here..."}, ...].
+            media (Optional[Union[str, Path]]): The path to the media file to use with
+                the input. This can be an image or video file.
+
+        Returns:
+            str: The generated plan as a string.
+        """
+
+        input_msg = convert_message_to_agentmessage(input, media)
+        plan = self.generate_plan(input_msg)
+        return plan.plan
 
     def generate_plan(
         self,
-        chat: List[Message],
+        chat: List[AgentMessage],
+        max_steps: Optional[int] = None,
         code_interpreter: Optional[CodeInterpreter] = None,
     ) -> PlanContext:
+        """Generate a plan to solve a vision task.
+
+        Parameters:
+            chat (List[AgentMessage]): The conversation messages to generate a plan for.
+            max_steps (Optional[int]): The maximum number of steps to plan.
+            code_interpreter (Optional[CodeInterpreter]): The code interpreter to use.
+
+        Returns:
+            PlanContext: The generated plan including the instructions and code snippets
+                needed to solve the task.
+        """
+
         if not chat:
             raise ValueError("Chat cannot be empty")
 
@@ -360,13 +416,16 @@ def generate_plan(
         code_interpreter = code_interpreter or CodeInterpreterFactory.new_instance(
             self.code_sandbox_runtime
         )
+        max_steps = max_steps or self.max_steps
 
         with code_interpreter:
             critque_steps = 1
-            step = self.max_steps
             finished = False
             int_chat, _, media_list = add_media_to_chat(chat, code_interpreter)
-            int_chat[-1]["content"] += f"\n<count>{step}</count>\n"  # type: ignore
+
+            step = get_steps(int_chat, max_steps)
+            if "<count>" not in int_chat[-1].content and step == max_steps:
+                int_chat[-1].content += f"\n<count>{step}</count>\n"
             while step > 0 and not finished:
                 if self.use_multi_trial_planning:
                     response = run_multi_trial_planning(
@@ -402,29 +461,29 @@ def generate_plan(
 
                 if critque_steps % self.critique_steps == 0:
                     critique = run_critic(int_chat, media_list, self.critic)
-                    if critique is not None and int_chat[-1]["role"] == "observation":
+                    if critique is not None and int_chat[-1].role == "observation":
                         _CONSOLE.print(
                             f"[bold cyan]Critique:[/bold cyan] [red]{critique}[/red]"
                         )
                         critique_str = f"\n[critique]\n{critique}\n[end of critique]"
-                        updated_chat[-1]["content"] += critique_str  # type: ignore
+                        updated_chat[-1].content += critique_str
                         # if plan was critiqued, ensure we don't finish so we can
                         # respond to the critique
                         finished = False
 
                 critque_steps += 1
                 step -= 1
-                updated_chat[-1]["content"] += f"\n<count>{step}</count>\n"  # type: ignore
+                updated_chat[-1].content += f"\n<count>{step}</count>\n"
                 int_chat.extend(updated_chat)
                 for chat_elt in updated_chat:
-                    self.update_callback(chat_elt)
+                    self.update_callback(chat_elt.model_dump())
 
             updated_chat, plan_context = create_finalize_plan(
                 int_chat, self.planner, self.verbose
             )
             int_chat.extend(updated_chat)
             for chat_elt in updated_chat:
-                self.update_callback(chat_elt)
+                self.update_callback(chat_elt.model_dump())
 
         return plan_context
 
diff --git a/vision_agent/agent/vision_agent_prompts.py b/vision_agent/agent/vision_agent_prompts.py
index 62338df0..bc0bb13f 100644
--- a/vision_agent/agent/vision_agent_prompts.py
+++ b/vision_agent/agent/vision_agent_prompts.py
@@ -55,10 +55,10 @@
 
 OBSERVATION:
 [Artifact dog_detector.py (5 lines total)]
-0|from vision_agent.tools import load_image, owl_v2
+0|from vision_agent.tools import load_image, owl_v2_image
 1|def detect_dogs(image_path: str):
 2|    image = load_image(image_path)
-3|    dogs = owl_v2("dog", image)
+3|    dogs = owl_v2_image("dog", image)
 4|    return dogs
 [End of artifact]
 
@@ -96,10 +96,10 @@
 
 OBSERVATION:
 [Artifact dog_detector.py (5 lines total)]
-0|from vision_agent.tools import load_image, owl_v2
+0|from vision_agent.tools import load_image, owl_v2_image
 1|def detect_dogs(image_path: str):
 2|    image = load_image(image_path)
-3|    dogs = owl_v2("dog", image, threshold=0.24)
+3|    dogs = owl_v2_image("dog", image, threshold=0.24)
 4|    return dogs
 [End of artifact]
 
diff --git a/vision_agent/agent/vision_agent_prompts_v2.py b/vision_agent/agent/vision_agent_prompts_v2.py
new file mode 100644
index 00000000..faa16d03
--- /dev/null
+++ b/vision_agent/agent/vision_agent_prompts_v2.py
@@ -0,0 +1,46 @@
+CONVERSATION = """
+**Role**: You are a help agent that assists users with their vision-related questions.
+
+**Actions**:
+`generate_or_edit_vision_code` - This action will generate code for the user to solve a vision task. It will also edit vision code for the user, this is useful if the user wants to modify vision-related aspects of the code such as changing the vision model or the image pre-processing steps.
+
+`edit_code` - If the user already has code for a vision task, from a previous call to `generate_or_edit_vision_code` and wants to quickly modify the code, you can use this action to edit the code. This is good for non-vision related changes such as formatting the response as a json or removing print statements.
+
+**Exampels**:
+Here is an example of how you can interact with a user and Actions:
+--- START EXAMPLES ---
+USER: Can you help me write code to detect dogs in this image? Media name images/dogs.jpg
+
+AGENT: <response>Yes, I can help you with that. I will write the code to detect dogs in the image.</response><action>generate_or_edit_vision_code</action>
+
+OBSERVATION:
+<final_code>
+from vision_agent.tools import load_image, owl_v2_image
+def detect_dogs(image_path: str):
+    image = load_image(image_path)
+    dogs = owl_v2_image(image)
+    return dogs
+</final_code>
+<final_test>
+def test_detect_dogs():
+    dogs = detect_dogs("images/dogs.jpg")
+    assert len(dogs) > 0
+</final_test>
+
+AGENT: <response>Here is the code to detect dogs in the image.</response>
+
+--- END EXAMPLES ---
+
+**Conversation**:
+Here is the current conversation so far:
+--- START CONVERSATION ---
+{conversation}
+--- END CONVERSATION ---
+
+**Instructions**:
+1. Only respond with a single <response> tag and a single <action> tag.
+2. Respond in the following format, the <action> tag is optional and can be excluded if you do not want to take any action:
+
+<response>Your response to the user's message</response>
+<action>The action you want to take from **Actions**</action>
+"""
diff --git a/vision_agent/agent/vision_agent_v2.py b/vision_agent/agent/vision_agent_v2.py
new file mode 100644
index 00000000..523a77b4
--- /dev/null
+++ b/vision_agent/agent/vision_agent_v2.py
@@ -0,0 +1,215 @@
+import copy
+from pathlib import Path
+from typing import Any, Callable, Dict, List, Optional, Union, cast
+
+from vision_agent.agent import Agent, AgentCoder, VisionAgentCoderV2
+from vision_agent.agent.agent_utils import (
+    add_media_to_chat,
+    convert_message_to_agentmessage,
+    extract_tag,
+)
+from vision_agent.agent.types import AgentMessage, PlanContext
+from vision_agent.agent.vision_agent_coder_v2 import format_code_context
+from vision_agent.agent.vision_agent_prompts_v2 import CONVERSATION
+from vision_agent.lmm import LMM, AnthropicLMM
+from vision_agent.lmm.types import Message
+from vision_agent.utils.execute import CodeInterpreter, CodeInterpreterFactory
+
+
+def format_conversation(chat: List[AgentMessage]) -> str:
+    chat = copy.deepcopy(chat)
+    prompt = ""
+    for chat_i in chat:
+        if chat_i.role == "user":
+            prompt += f"USER: {chat_i.content}\n\n"
+        elif chat_i.role == "observation" or chat_i.role == "coder":
+            prompt += f"OBSERVATION: {chat_i.content}\n\n"
+        elif chat_i.role == "conversation":
+            prompt += f"AGENT: {chat_i.content}\n\n"
+    return prompt
+
+
+def run_conversation(agent: LMM, chat: List[AgentMessage]) -> str:
+    # only keep last 10 messages
+    conv = format_conversation(chat[-10:])
+    prompt = CONVERSATION.format(
+        conversation=conv,
+    )
+    response = agent([{"role": "user", "content": prompt}], stream=False)
+    return cast(str, response)
+
+
+def extract_conversation_for_generate_code(
+    chat: List[AgentMessage],
+) -> List[AgentMessage]:
+    chat = copy.deepcopy(chat)
+    extracted_chat = []
+    for chat_i in chat:
+        if chat_i.role == "user":
+            extracted_chat.append(chat_i)
+        elif chat_i.role == "coder":
+            if "<final_code>" in chat_i.content and "<final_test>" in chat_i.content:
+                extracted_chat.append(chat_i)
+
+    return extracted_chat
+
+
+def maybe_run_action(
+    coder: AgentCoder,
+    action: Optional[str],
+    chat: List[AgentMessage],
+    code_interpreter: Optional[CodeInterpreter] = None,
+) -> Optional[List[AgentMessage]]:
+    if action == "generate_or_edit_vision_code":
+        extracted_chat = extract_conversation_for_generate_code(chat)
+        # there's an issue here because coder.generate_code will send it's code_context
+        # to the outside user via it's update_callback, but we don't necessarily have
+        # access to that update_callback here, so we re-create the message using
+        # format_code_context.
+        code_context = coder.generate_code(
+            extracted_chat, code_interpreter=code_interpreter
+        )
+        return [
+            AgentMessage(role="coder", content=format_code_context(code_context)),
+            AgentMessage(role="observation", content=code_context.test_result.text()),
+        ]
+    elif action == "edit_code":
+        extracted_chat = extract_conversation_for_generate_code(chat)
+        plan_context = PlanContext(
+            plan="Edit the latest code observed in the fewest steps possible according to the user's feedback.",
+            instructions=[],
+            code="",
+        )
+        code_context = coder.generate_code_from_plan(
+            extracted_chat, plan_context, code_interpreter=code_interpreter
+        )
+        return [
+            AgentMessage(role="coder", content=format_code_context(code_context)),
+            AgentMessage(role="observation", content=code_context.test_result.text()),
+        ]
+    elif action == "view_image":
+        pass
+
+    return None
+
+
+class VisionAgentV2(Agent):
+    """VisionAgentV2 is a conversational agent that allows you to more easily use a
+    coder agent such as VisionAgentCoderV2 to write vision code for you.
+    """
+
+    def __init__(
+        self,
+        agent: Optional[LMM] = None,
+        coder: Optional[AgentCoder] = None,
+        verbose: bool = False,
+        code_sandbox_runtime: Optional[str] = None,
+        update_callback: Callable[[Dict[str, Any]], None] = lambda x: None,
+    ) -> None:
+        """Initialize the VisionAgentV2.
+
+        Parameters:
+            agent (Optional[LMM]): The language model to use for the agent. If None, a
+                default AnthropicLMM will be used.
+            coder (Optional[AgentCoder]): The coder agent to use for generating vision
+                code. If None, a default VisionAgentCoderV2 will be used.
+            verbose (bool): Whether to print out debug information.
+            code_sandbox_runtime (Optional[str]): The code sandbox runtime to use, can
+                be one of: None, "local" or "e2b". If None, it will read from the
+                environment variable CODE_SANDBOX_RUNTIME.
+            update_callback (Callable[[Dict[str, Any]], None]): The callback function
+                that will send back intermediate conversation messages.
+        """
+
+        self.agent = (
+            agent
+            if agent is not None
+            else AnthropicLMM(
+                model_name="claude-3-5-sonnet-20241022",
+                temperature=0.0,
+            )
+        )
+        self.coder = (
+            coder
+            if coder is not None
+            else VisionAgentCoderV2(verbose=verbose, update_callback=update_callback)
+        )
+
+        self.verbose = verbose
+        self.code_sandbox_runtime = code_sandbox_runtime
+        self.update_callback = update_callback
+
+        # force coder to use the same update_callback
+        if hasattr(self.coder, "update_callback"):
+            self.coder.update_callback = update_callback
+
+    def __call__(
+        self,
+        input: Union[str, List[Message]],
+        media: Optional[Union[str, Path]] = None,
+    ) -> str:
+        """Conversational interface to the agent. This is the main method to use to
+        interact with the agent. It takes in a string or list of messages and returns
+        the agent's response as a string.
+
+        Parameters:
+            input (Union[str, List[Message]]): The input to the agent. This can be a
+                string or a list of messages in the format of [{"role": "user",
+                "content": "describe your task here..."}, ...].
+            media (Optional[Union[str, Path]]): The path to the media file to use with
+                the input. This can be an image or video file.
+
+        Returns:
+            str: The agent's response as a string.
+        """
+
+        input_msg = convert_message_to_agentmessage(input, media)
+        return self.chat(input_msg)[-1].content
+
+    def chat(
+        self,
+        chat: List[AgentMessage],
+    ) -> List[AgentMessage]:
+        """Conversational interface to the agent. This is the main method to use to
+        interact with the agent. It takes in a list of messages and returns the agent's
+        response as a list of messages.
+
+        Parameters:
+            chat (List[AgentMessage]): The input to the agent. This should be a list of
+                AgentMessage objects.
+
+        Returns:
+            List[AgentMessage]: The agent's response as a list of AgentMessage objects.
+        """
+
+        return_chat = []
+        with CodeInterpreterFactory.new_instance(
+            self.code_sandbox_runtime
+        ) as code_interpreter:
+            int_chat, _, _ = add_media_to_chat(chat, code_interpreter)
+            response_context = run_conversation(self.agent, int_chat)
+            return_chat.append(
+                AgentMessage(role="conversation", content=response_context)
+            )
+            self.update_callback(return_chat[-1].model_dump())
+
+            action = extract_tag(response_context, "action")
+
+            updated_chat = maybe_run_action(
+                self.coder, action, int_chat, code_interpreter=code_interpreter
+            )
+            if updated_chat is not None:
+                # do not append updated_chat to return_chat becuase the observation
+                # from running the action will have already been added via the callbacks
+                obs_response_context = run_conversation(
+                    self.agent, return_chat + updated_chat
+                )
+                return_chat.append(
+                    AgentMessage(role="conversation", content=obs_response_context)
+                )
+                self.update_callback(return_chat[-1].model_dump())
+
+        return return_chat
+
+    def log_progress(self, data: Dict[str, Any]) -> None:
+        pass
diff --git a/vision_agent/utils/execute.py b/vision_agent/utils/execute.py
index 043e0f2d..17dff0e0 100644
--- a/vision_agent/utils/execute.py
+++ b/vision_agent/utils/execute.py
@@ -38,7 +38,7 @@
 
 load_dotenv()
 _LOGGER = logging.getLogger(__name__)
-_SESSION_TIMEOUT = 600  # 10 minutes
+_SESSION_TIMEOUT = 180  # 3 minutes
 WORKSPACE = Path(os.getenv("WORKSPACE", ""))