diff --git a/poetry.lock b/poetry.lock
index d0a226e6..af2d42bd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,127 @@
 # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
+[[package]]
+name = "aenum"
+version = "3.1.15"
+description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants"
+optional = false
+python-versions = "*"
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+]
+
+[[package]]
+name = "aiohttp"
+version = "3.9.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
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+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "annotated-types"
 version = "0.6.0"
@@ -62,6 +184,17 @@ six = ">=1.12.0"
 astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
 test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "attrs"
 version = "23.2.0"
@@ -439,6 +572,44 @@ files = [
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "e2b"
+version = "0.17.0"
+description = "E2B SDK that give agents cloud environments"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+    {file = "e2b-0.17.0.tar.gz", hash = "sha256:64b71ff10fe5183ec3c9c7a643de9a89f3e4f00180c7732c6a2beb5c090d04b8"},
+]
+
+[package.dependencies]
+aenum = ">=3.1.11"
+aiohttp = ">=3.8.4"
+jsonrpcclient = ">=4.0.3"
+pydantic = "*"
+python-dateutil = ">=2.8.2"
+requests = ">=2.31.0"
+typing-extensions = ">=4.8.0"
+urllib3 = ">=1.25.3"
+websockets = ">=11.0.3"
+
+[[package]]
+name = "e2b-code-interpreter"
+version = "0.0.7"
+description = "E2B Code Interpreter - Stateful code execution"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+pydantic = ">1,<3"
+websocket-client = ">=1.7.0,<2.0.0"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
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 pycodestyle = ">=2.9.0,<2.10.0"
 pyflakes = ">=2.5.0,<2.6.0"
 
+[[package]]
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+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
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+
 [[package]]
 name = "ghp-import"
 version = "2.1.0"
@@ -795,6 +1052,19 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jsonrpcclient"
+version = "4.0.3"
+description = "Send JSON-RPC requests"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.extras]
+qa = ["pytest", "pytest-cov", "tox"]
+
 [[package]]
 name = "jsonschema"
 version = "4.22.0"
@@ -1219,6 +1489,105 @@ doc = ["Sphinx (>=1.5.2,<2.0)", "numpydoc (>=0.6.0,<1.0)", "pygame (>=1.9.3,<2.0
 optional = ["matplotlib (>=2.0.0,<3.0)", "opencv-python (>=3.0,<4.0)", "scikit-image (>=0.13.0,<1.0)", "scikit-learn", "scipy (>=0.19.0,<1.5)", "youtube_dl"]
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+[[package]]
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+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
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+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
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+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
 [[package]]
 name = "zipp"
 version = "3.18.1"
@@ -2977,4 +3561,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "e36e97d2cb47eca827478c26a80fe33370baa95085e8df51005936834e9c2c3f"
+content-hash = "f5e93a86c3148808cdb265dec3db5310d5d2d3240506bf75a2770bb41eadf1d6"
diff --git a/pyproject.toml b/pyproject.toml
index f6ea3163..e552cf58 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,6 +34,9 @@ nbformat = "^5.10.4"
 rich = "^13.7.1"
 langsmith = "^0.1.58"
 ipykernel = "^6.29.4"
+e2b = "^0.17.0"
+e2b-code-interpreter = "^0.0.7"
+tenacity = "^8.3.0"
 
 [tool.poetry.group.dev.dependencies]
 autoflake = "1.*"
@@ -93,4 +96,6 @@ module = [
     "openai.*",
     "sentence_transformers.*",
     "moviepy.*",
+    "e2b_code_interpreter.*",
+    "e2b.*",
 ]
diff --git a/vision_agent/agent/__init__.py b/vision_agent/agent/__init__.py
index 3d989b34..53511553 100644
--- a/vision_agent/agent/__init__.py
+++ b/vision_agent/agent/__init__.py
@@ -1,7 +1,2 @@
 from .agent import Agent
-from .agent_coder import AgentCoder
-from .data_interpreter import DataInterpreter
-from .easytool import EasyTool
-from .easytool_v2 import EasyToolV2
-from .reflexion import Reflexion
 from .vision_agent import VisionAgent
diff --git a/vision_agent/agent/agent_coder.py b/vision_agent/agent/agent_coder.py
index 980c28d4..8749edcc 100644
--- a/vision_agent/agent/agent_coder.py
+++ b/vision_agent/agent/agent_coder.py
@@ -19,7 +19,7 @@
 from vision_agent.llm import LLM, OpenAILLM
 from vision_agent.lmm import LMM, OpenAILMM
 from vision_agent.tools import TOOL_DOCSTRING, UTILITIES_DOCSTRING
-from vision_agent.utils import Execute
+from vision_agent.utils import CodeInterpreterFactory
 
 IMPORT_HELPER = """
 import math
@@ -42,7 +42,7 @@
 """
 logging.basicConfig(stream=sys.stdout)
 _LOGGER = logging.getLogger(__name__)
-_EXECUTE = Execute()
+_EXECUTE = CodeInterpreterFactory.get_default_instance()
 _CONSOLE = Console()
 
 
@@ -94,8 +94,8 @@ def write_debug(question: str, code: str, feedback: str, model: LLM) -> str:
 
 def execute_tests(code: str, tests: str) -> Dict[str, Union[str, bool]]:
     full_code = f"{IMPORT_HELPER}\n{code}\n{tests}"
-    success, result = _EXECUTE.run_isolation(full_code)
-    return {"code": code, "result": result, "passed": success}
+    result = _EXECUTE.exec_isolation(full_code)
+    return {"code": code, "result": result.text(), "passed": result.success}
 
 
 def run_visual_tests(
diff --git a/vision_agent/agent/data_interpreter.py b/vision_agent/agent/data_interpreter.py
index cabf0240..3a603ac4 100644
--- a/vision_agent/agent/data_interpreter.py
+++ b/vision_agent/agent/data_interpreter.py
@@ -26,11 +26,12 @@
 )
 from vision_agent.llm import LLM, OpenAILLM
 from vision_agent.tools import TOOL_DESCRIPTIONS, TOOLS_DF
-from vision_agent.utils import Execute, Sim
+from vision_agent.utils import CodeInterpreter, CodeInterpreterFactory, Execution, Sim
 
 logging.basicConfig(level=logging.INFO)
 _LOGGER = logging.getLogger(__name__)
 _MAX_TABULATE_COL_WIDTH = 80
+_EXECUTE = CodeInterpreterFactory.get_default_instance()
 _CONSOLE = Console()
 
 
@@ -163,12 +164,12 @@ def write_and_exec_code(
     code_writer_call: Callable[..., str],
     model: LLM,
     tool_info: str,
-    exec: Execute,
+    exec: CodeInterpreter,
     retrieved_ltm: str,
     log_progress: Callable[[Dict[str, Any]], None],
     max_retry: int = 3,
     verbosity: int = 0,
-) -> Tuple[bool, str, str, Dict[str, List[str]]]:
+) -> Tuple[bool, str, Execution, Dict[str, List[str]]]:
     success = False
     counter = 0
     reflection = ""
@@ -176,7 +177,8 @@ def write_and_exec_code(
     code = code_writer_call(
         user_req, subtask, retrieved_ltm, tool_info, orig_code, model
     )
-    success, result = exec.run_isolation(code)
+    result = exec.exec_isolation(code)
+    success = result.success
     if verbosity == 2:
         _CONSOLE.print(Syntax(code, "python", theme="gruvbox-dark", line_numbers=True))
         log_progress(
@@ -193,10 +195,10 @@ def write_and_exec_code(
         log_progress(
             {
                 "log": "Result:",
-                "result": str(result),
+                "result": result.to_json(),
             }
         )
-        _LOGGER.info(f"\tCode success: {success}, result: {str(result)}")
+        _LOGGER.info(f"\tCode success: {success}, result: {result.text(False)}")
     working_memory: Dict[str, List[str]] = {}
     while not success and counter < max_retry:
         if subtask not in working_memory:
@@ -210,13 +212,13 @@ def write_and_exec_code(
             )
         else:
             working_memory[subtask].append(
-                PREV_CODE_CONTEXT.format(code=code, result=result)
+                PREV_CODE_CONTEXT.format(code=code, result=result.text())
             )
 
         code, reflection = debug_code(
             user_req, subtask, retrieved_ltm, "\n".join(working_memory[subtask]), model
         )
-        success, result = exec.run_isolation(code)
+        result = exec.exec_isolation(code)
         counter += 1
         if verbosity == 2:
             _CONSOLE.print(
@@ -231,19 +233,21 @@ def write_and_exec_code(
             log_progress(
                 {
                     "log": "Result:",
-                    "result": result,
+                    "result": result.to_json(),
                 }
             )
-            _LOGGER.info(f"\tDebugging reflection: {reflection}, result: {result}")
+            _LOGGER.info(
+                f"\tDebugging reflection: {reflection}, result: {result.text(False)}"
+            )
 
         if success:
             working_memory[subtask].append(
                 PREV_CODE_CONTEXT_WITH_REFLECTION.format(
-                    reflection=reflection, code=code, result=result
+                    reflection=reflection, code=code, result=result.text()
                 )
             )
 
-    return success, code, result, working_memory
+    return result.success, code, result, working_memory
 
 
 @traceable(name="plan execution")
@@ -251,7 +255,7 @@ def run_plan(
     user_req: str,
     plan: List[Dict[str, Any]],
     coder: LLM,
-    exec: Execute,
+    exec: CodeInterpreter,
     code: str,
     tool_recommender: Sim,
     log_progress: Callable[[Dict[str, Any]], None],
@@ -316,10 +320,10 @@ def run_plan(
         log_progress(
             {
                 "log": "Result:",
-                "result": str(result),
+                "result": result.to_json(),
             }
         )
-        _LOGGER.info(f"\tCode success: {success} result: {str(result)}")
+        _LOGGER.info(f"\tCode success: {success} result: {result.text(False)}")
 
         task["success"] = success
         task["result"] = result
@@ -360,7 +364,7 @@ def __init__(
     ) -> None:
         self.planner = OpenAILLM(temperature=0.0, json_mode=True)
         self.coder = OpenAILLM(temperature=0.0)
-        self.exec = Execute(timeout=timeout)
+        self.exec = _EXECUTE
         self.report_progress_callback = report_progress_callback
         if tool_recommender is None:
             self.tool_recommender = Sim(TOOLS_DF, sim_key="desc")
diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py
index 59d5b519..647703d5 100644
--- a/vision_agent/agent/vision_agent.py
+++ b/vision_agent/agent/vision_agent.py
@@ -6,6 +6,7 @@
 from typing import Any, Callable, Dict, List, Optional, Union, cast
 
 from rich.console import Console
+from rich.style import Style
 from rich.syntax import Syntax
 from tabulate import tabulate
 
@@ -23,13 +24,13 @@
 )
 from vision_agent.llm import LLM, OpenAILLM
 from vision_agent.lmm import LMM, OpenAILMM
-from vision_agent.utils import Execute
+from vision_agent.utils import CodeInterpreterFactory, Execution
 from vision_agent.utils.sim import Sim
 
 logging.basicConfig(stream=sys.stdout)
 _LOGGER = logging.getLogger(__name__)
 _MAX_TABULATE_COL_WIDTH = 80
-_EXECUTE = Execute(600)
+_EXECUTE = CodeInterpreterFactory.get_default_instance()
 _CONSOLE = Console()
 _DEFAULT_IMPORT = "\n".join(T.__new_tools__)
 
@@ -157,28 +158,27 @@ def write_and_test_code(
             },
         }
     )
-    success, result = _EXECUTE.run_isolation(f"{_DEFAULT_IMPORT}\n{code}\n{test}")
+    result = _EXECUTE.exec_isolation(f"{_DEFAULT_IMPORT}\n{code}\n{test}")
     log_progress(
         {
             "type": "code",
-            "status": "completed" if success else "failed",
+            "status": "completed" if result.success else "failed",
             "payload": {
                 "code": code,
                 "test": test,
-                "result": result,
+                "result": result.to_json(),
             },
         }
     )
     if verbosity == 2:
-        _LOGGER.info("Initial code and tests:")
-        _CONSOLE.print(
-            Syntax(f"{code}\n{test}", "python", theme="gruvbox-dark", line_numbers=True)
+        _print_code("Initial code and tests:", code, test)
+        _LOGGER.info(
+            f"Initial code execution result:\n{result.text(include_logs=False)}"
         )
-        _LOGGER.info(f"Initial result: {result}")
 
     count = 0
     new_working_memory = []
-    while not success and count < max_retries:
+    while not result.success and count < max_retries:
         log_progress(
             {
                 "type": "code",
@@ -188,7 +188,7 @@ def write_and_test_code(
         fixed_code_and_test = extract_json(
             debugger(
                 FIX_BUG.format(
-                    code=code, tests=test, result=result, feedback=working_memory
+                    code=code, tests=test, result=result.text(), feedback=working_memory
                 )
             )
         )
@@ -210,15 +210,15 @@ def write_and_test_code(
             {"code": f"{code}\n{test}", "feedback": fixed_code_and_test["reflections"]}
         )
 
-        success, result = _EXECUTE.run_isolation(f"{_DEFAULT_IMPORT}\n{code}\n{test}")
+        result = _EXECUTE.exec_isolation(f"{_DEFAULT_IMPORT}\n{code}\n{test}")
         log_progress(
             {
                 "type": "code",
-                "status": "completed" if success else "failed",
+                "status": "completed" if result.success else "failed",
                 "payload": {
                     "code": code,
                     "test": test,
-                    "result": result,
+                    "result": result.to_json(),
                 },
             }
         )
@@ -226,30 +226,33 @@ def write_and_test_code(
             _LOGGER.info(
                 f"Debug attempt {count + 1}, reflection: {fixed_code_and_test['reflections']}"
             )
-            _CONSOLE.print(
-                Syntax(
-                    f"{code}\n{test}", "python", theme="gruvbox-dark", line_numbers=True
-                )
+            _print_code("Code and test after attempted fix:", code, test)
+            _LOGGER.info(
+                f"Code execution result after attempted fix: {result.text(include_logs=False)}"
             )
-            _LOGGER.info(f"Debug result: {result}")
         count += 1
 
     if verbosity >= 1:
-        _LOGGER.info("Final code and tests:")
-        _CONSOLE.print(
-            Syntax(f"{code}\n{test}", "python", theme="gruvbox-dark", line_numbers=True)
-        )
-        _LOGGER.info(f"Final Result: {result}")
+        _print_code("Final code and tests:", code, test)
 
     return {
         "code": code,
         "test": test,
-        "success": success,
+        "success": result.success,
         "test_result": result,
         "working_memory": new_working_memory,
     }
 
 
+def _print_code(title: str, code: str, test: Optional[str] = None) -> None:
+    _CONSOLE.print(title, style=Style(bgcolor="dark_orange3", bold=True))
+    _CONSOLE.print("=" * 30 + " Code " + "=" * 30)
+    _CONSOLE.print(Syntax(code, "python", theme="gruvbox-dark", line_numbers=True))
+    if test:
+        _CONSOLE.print("=" * 30 + " Test " + "=" * 30)
+        _CONSOLE.print(Syntax(test, "python", theme="gruvbox-dark", line_numbers=True))
+
+
 def retrieve_tools(
     plan: List[Dict[str, str]],
     tool_recommender: Sim,
@@ -279,8 +282,10 @@ def retrieve_tools(
             "payload": tool_list,
         }
     )
+
     if verbosity == 2:
-        _LOGGER.info(f"Tools: {tool_desc}")
+        tool_desc_str = "\n".join(tool_desc)
+        _LOGGER.info(f"Tools Description:\n{tool_desc_str}")
     tool_info_set = set(tool_info)
     return "\n\n".join(tool_info_set)
 
@@ -386,10 +391,11 @@ def chat_with_workflow(
                 and working memory of the agent.
         """
 
-        if len(chat) == 0:
+        if not chat:
             raise ValueError("Chat cannot be empty.")
 
         if media is not None:
+            media = _EXECUTE.upload_file(media)
             for chat_i in chat:
                 if chat_i["role"] == "user":
                     chat_i["content"] += f" Image name {media}"
@@ -497,7 +503,7 @@ def chat_with_workflow(
                 "payload": {
                     "code": code,
                     "test": test,
-                    "result": results["test_result"],
+                    "result": cast(Execution, results["test_result"]).to_json(),
                 },
             }
         )
@@ -513,4 +519,3 @@ def chat_with_workflow(
     def log_progress(self, data: Dict[str, Any]) -> None:
         if self.report_progress_callback is not None:
             self.report_progress_callback(data)
-        pass
diff --git a/vision_agent/utils/__init__.py b/vision_agent/utils/__init__.py
index 10a49df4..18c2a53b 100644
--- a/vision_agent/utils/__init__.py
+++ b/vision_agent/utils/__init__.py
@@ -1,3 +1,10 @@
-from .execute import Execute
+from .execute import (
+    CodeInterpreter,
+    CodeInterpreterFactory,
+    Error,
+    Execution,
+    Logs,
+    Result,
+)
 from .sim import Sim, load_sim, merge_sim
 from .video import extract_frames_from_video
diff --git a/vision_agent/utils/execute.py b/vision_agent/utils/execute.py
index b1c3417b..cadde3e8 100644
--- a/vision_agent/utils/execute.py
+++ b/vision_agent/utils/execute.py
@@ -1,60 +1,459 @@
-"""This code is adapted from MetaGPT's https://github.com/geekan/MetaGPT/blob/main/metagpt/actions/di/execute_nb_code.py
-"""
-
-import base64 as b64
-import io
+import abc
+import atexit
+import copy
+import logging
+import os
+import platform
 import re
+import sys
+import tempfile
+import traceback
+from enum import Enum
+from io import IOBase
+from pathlib import Path
 from time import sleep
-from typing import Dict, List, Tuple
+from typing import IO, Any, Dict, Iterable, List, Optional, Union, cast
 
 import nbformat
+import tenacity
+from dotenv import load_dotenv
+from e2b.api.v2.client.exceptions import ServiceException
+from e2b_code_interpreter import CodeInterpreter as E2BCodeInterpreterImpl
+from e2b_code_interpreter import Execution as E2BExecution
+from e2b_code_interpreter import Result as E2BResult
 from nbclient import NotebookClient
+from nbclient import __version__ as nbclient_version
 from nbclient.exceptions import CellTimeoutError, DeadKernelError
 from nbclient.util import run_sync
-from nbformat import NotebookNode
 from nbformat.v4 import new_code_cell
-from PIL import Image
+from pydantic import BaseModel, field_serializer
+from typing_extensions import Self
 
+load_dotenv()
+_LOGGER = logging.getLogger(__name__)
 
-def remove_escape_and_color_codes(input_str: str) -> str:
-    pattern = re.compile(r"\x1b\[[0-9;]*[mK]")
-    result = pattern.sub("", input_str)
-    return result
-
-
-def parse_outputs(outputs: List[Dict]) -> Tuple[bool, str]:
-    success, parsed_output = True, []
-    for output in outputs:
-        # TODO: add parse image data
-        if output["output_type"] == "stream":
-            parsed_output.append(output["text"])
-        elif output["output_type"] == "text/plain":
-            parsed_output.append(output["data"]["text/plain"])
-        elif output["output_type"] == "display_data":
-            if "image/png" in output["data"]:
-                image_bytes = b64.b64decode(output["data"]["image/png"])
-                Image.open(io.BytesIO(image_bytes)).show()
-        elif output["output_type"] == "error":
-            success = False
-            output_text = remove_escape_and_color_codes("\n".join(output["traceback"]))
-            parsed_output.append(output_text)
-
-    return success, ",".join(parsed_output)
-
-
-class Execute:
+
+class MimeType(str, Enum):
+    """
+    Represents a MIME type.
+    """
+
+    TEXT_PLAIN = "text/plain"
+    TEXT_HTML = "text/html"
+    TEXT_MARKDOWN = "text/markdown"
+    IMAGE_SVG = "image/svg+xml"
+    IMAGE_PNG = "image/png"
+    IMAGE_JPEG = "image/jpeg"
+    APPLICATION_PDF = "application/pdf"
+    TEXT_LATEX = "text/latex"
+    APPLICATION_JSON = "application/json"
+    APPLICATION_JAVASCRIPT = "application/javascript"
+
+
+class Result:
+    """
+    Represents the data to be displayed as a result of executing a cell in a Jupyter notebook.
+    The result is similar to the structure returned by ipython kernel: https://ipython.readthedocs.io/en/stable/development/execution.html#execution-semantics
+
+    The result can contain multiple types of data, such as text, images, plots, etc. Each type of data is represented
+    as a string, and the result can contain multiple types of data. The display calls don't have to have text representation,
+    for the actual result the representation is always present for the result, the other representations are always optional.
+
+    The class also provides methods to display the data in a Jupyter notebook.
+    """
+
+    text: Optional[str] = None
+    html: Optional[str] = None
+    markdown: Optional[str] = None
+    svg: Optional[str] = None
+    png: Optional[str] = None
+    jpeg: Optional[str] = None
+    pdf: Optional[str] = None
+    latex: Optional[str] = None
+    json: Optional[Dict[str, Any]] = None
+    javascript: Optional[str] = None
+    extra: Optional[Dict[str, Any]] = None
+    "Extra data that can be included. Not part of the standard types."
+
+    is_main_result: bool
+    "Whether this data is the result of the cell. Data can be produced by display calls of which can be multiple in a cell."
+
+    raw: Dict[str, str]
+    "Dictionary that maps MIME types to their corresponding string representations of the data."
+
+    def __init__(self, is_main_result: bool, data: Dict[str, Any]):
+        self.is_main_result = is_main_result
+        self.raw = copy.deepcopy(data)
+
+        self.text = data.pop(MimeType.TEXT_PLAIN, None)
+        self.html = data.pop(MimeType.TEXT_HTML, None)
+        self.markdown = data.pop(MimeType.TEXT_MARKDOWN, None)
+        self.svg = data.pop(MimeType.IMAGE_SVG, None)
+        self.png = data.pop(MimeType.IMAGE_PNG, None)
+        self.jpeg = data.pop(MimeType.IMAGE_JPEG, None)
+        self.pdf = data.pop(MimeType.APPLICATION_PDF, None)
+        self.latex = data.pop(MimeType.TEXT_LATEX, None)
+        self.json = data.pop(MimeType.APPLICATION_JSON, None)
+        self.javascript = data.pop(MimeType.APPLICATION_JAVASCRIPT, None)
+        self.extra = data
+        # Only keeping the PNG representation if both PNG and JPEG are present
+        if self.png and self.jpeg:
+            del self.jpeg
+
+    # Allows to iterate over formats()
+    def __getitem__(self, key: Any) -> Any:
+        return self.raw[key] if key in self.raw else getattr(self, key)
+
+    def __str__(self) -> str:
+        return repr(self)
+
+    def __repr__(self) -> str:
+        return str(self.raw)
+
+    def _repr_html_(self) -> Optional[str]:
+        """
+        Returns the HTML representation of the data.
+        """
+        return self.html
+
+    def _repr_markdown_(self) -> Optional[str]:
+        """
+        Returns the Markdown representation of the data.
+        """
+        return self.markdown
+
+    def _repr_svg_(self) -> Optional[str]:
+        """
+        Returns the SVG representation of the data.
+        """
+        return self.svg
+
+    def _repr_png_(self) -> Optional[str]:
+        """
+        Returns the base64 representation of the PNG data.
+        """
+        return self.png
+
+    def _repr_jpeg_(self) -> Optional[str]:
+        """
+        Returns the base64 representation of the JPEG data.
+        """
+        return self.jpeg
+
+    def _repr_pdf_(self) -> Optional[str]:
+        """
+        Returns the PDF representation of the data.
+        """
+        return self.pdf
+
+    def _repr_latex_(self) -> Optional[str]:
+        """
+        Returns the LaTeX representation of the data.
+        """
+        return self.latex
+
+    def _repr_json_(self) -> Optional[dict]:
+        """
+        Returns the JSON representation of the data.
+        """
+        return self.json
+
+    def _repr_javascript_(self) -> Optional[str]:
+        """
+        Returns the JavaScript representation of the data.
+        """
+        return self.javascript
+
+    def formats(self) -> Iterable[str]:
+        """
+        Returns all available formats of the result.
+
+        :return: All available formats of the result in MIME types.
+        """
+        formats = []
+        if self.html:
+            formats.append("html")
+        if self.markdown:
+            formats.append("markdown")
+        if self.svg:
+            formats.append("svg")
+        if self.png:
+            formats.append("png")
+        if self.jpeg:
+            formats.append("jpeg")
+        if self.pdf:
+            formats.append("pdf")
+        if self.latex:
+            formats.append("latex")
+        if self.json:
+            formats.append("json")
+        if self.javascript:
+            formats.append("javascript")
+        if self.extra:
+            formats.extend(iter(self.extra))
+        return formats
+
+    @staticmethod
+    def from_e2b_result(result: E2BResult) -> "Result":  # type: ignore
+        """
+        Creates a Result object from an E2BResult object.
+        """
+        return Result(
+            is_main_result=result.is_main_result,
+            data=result.raw,
+        )
+
+
+class Logs(BaseModel):
+    """
+    Data printed to stdout and stderr during execution, usually by print statements, logs, warnings, subprocesses, etc.
+    """
+
+    stdout: List[str] = []
+    "List of strings printed to stdout by prints, subprocesses, etc."
+    stderr: List[str] = []
+    "List of strings printed to stderr by prints, subprocesses, etc."
+
+    def __str__(self) -> str:
+        stdout_str = "\n".join(self.stdout)
+        stderr_str = "\n".join(self.stderr)
+        return _remove_escape_and_color_codes(
+            f"stdout:\n{stdout_str}\nstderr:\n{stderr_str}"
+        )
+
+
+class Error(BaseModel):
+    """
+    Represents an error that occurred during the execution of a cell.
+    The error contains the name of the error, the value of the error, and the traceback.
+    """
+
+    name: str
+    "Name of the exception."
+    value: str
+    "Value of the exception."
+    traceback_raw: List[str]
+    "List of strings representing the traceback."
+
+    @property
+    def traceback(self, return_clean_text: bool = True) -> str:
+        """
+        Returns the traceback as a single string.
+        """
+        text = "\n".join(self.traceback_raw)
+        return _remove_escape_and_color_codes(text) if return_clean_text else text
+
+
+class Execution(BaseModel):
+    """
+    Represents the result of a cell execution.
+    """
+
+    class Config:
+        arbitrary_types_allowed = True
+
+    results: List[Result] = []
+    "List of the result of the cell (interactively interpreted last line), display calls (e.g. matplotlib plots)."
+    logs: Logs = Logs()
+    "Logs printed to stdout and stderr during execution."
+    error: Optional[Error] = None
+    "Error object if an error occurred, None otherwise."
+
+    def text(self, include_logs: bool = True) -> str:
+        """
+        Returns the text representation of this object, i.e. including the main result or the error traceback, optionally along with the logs (stdout, stderr).
+        """
+        prefix = (
+            "\n".join(self.logs.stdout) + "\n".join(self.logs.stderr)
+            if include_logs
+            else ""
+        )
+        if self.error:
+            return prefix + "\n" + self.error.traceback
+        return next(
+            (
+                prefix + "\n" + (res.text or "")
+                for res in self.results
+                if res.is_main_result
+            ),
+            prefix,
+        )
+
+    @property
+    def success(self) -> bool:
+        """
+        Returns whether the execution was successful.
+        """
+        return self.error is None
+
+    def to_json(self) -> str:
+        """
+        Returns the JSON representation of the Execution object.
+        """
+        return self.model_dump_json(exclude_none=True)
+
+    @field_serializer("results", when_used="json")
+    def serialize_results(results: List[Result]) -> List[Dict[str, Union[str, bool]]]:  # type: ignore
+        """
+        Serializes the results to JSON.
+        This method is used by the Pydantic JSON encoder.
+        """
+        serialized = []
+        for result in results:
+            serialized_dict = {key: result[key] for key in result.formats()}
+
+            serialized_dict["text"] = result.text
+            serialized_dict["is_main_result"] = result.is_main_result
+            serialized.append(serialized_dict)
+        return serialized
+
+    @staticmethod
+    def from_exception(exec: Exception, traceback_raw: List[str]) -> "Execution":
+        """
+        Creates an Execution object from an exception.
+        """
+        return Execution(
+            error=Error(
+                name=exec.__class__.__name__,
+                value=str(exec),
+                traceback_raw=traceback_raw,
+            )
+        )
+
+    @staticmethod
+    def from_e2b_execution(exec: E2BExecution) -> "Execution":  # type: ignore
+        """
+        Creates an Execution object from an E2BResult object.
+        """
+        return Execution(
+            results=[Result.from_e2b_result(res) for res in exec.results],
+            logs=Logs(stdout=exec.logs.stdout, stderr=exec.logs.stderr),
+            error=(
+                Error(
+                    name=exec.error.name,
+                    value=exec.error.value,
+                    traceback_raw=exec.error.traceback_raw,
+                )
+                if exec.error
+                else None
+            ),
+        )
+
+
+class CodeInterpreter(abc.ABC):
+    """Code interpreter interface."""
+
+    def __init__(self, timeout: int, *args: Any, **kwargs: Any) -> None:
+        self.timeout = timeout
+
+    def __enter__(self) -> Self:
+        return self
+
+    def __exit__(self, *exc_info: Any) -> None:
+        self.close()
+
+    def close(self, *args: Any, **kwargs: Any) -> None:
+        raise NotImplementedError()
+
+    def restart_kernel(self) -> None:
+        raise NotImplementedError()
+
+    def exec_cell(self, code: str) -> Execution:
+        raise NotImplementedError()
+
+    def exec_isolation(self, code: str) -> Execution:
+        self.restart_kernel()
+        return self.exec_cell(code)
+
+    def upload_file(self, file: Union[str, Path, IO]) -> str:
+        # Default behavior is a no-op (for local code interpreter)
+        assert not isinstance(
+            file, IO
+        ), "Don't pass IO objects to upload_file() of local interpreter"
+        return str(file)
+
+    def download_file(self, file_path: str) -> Path:
+        # Default behavior is a no-op (for local code interpreter)
+        return Path(file_path)
+
+
+class E2BCodeInterpreter(CodeInterpreter):
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        super().__init__(*args, **kwargs)
+        assert os.getenv("E2B_API_KEY"), "E2B_API_KEY environment variable must be set"
+        self.interpreter = E2BCodeInterpreter._new_e2b_interpreter_impl(*args, **kwargs)
+        result = self.exec_cell(
+            """
+import platform
+import sys
+import pkg_resources
+
+print(f"Python version: {sys.version}")
+print(f"OS version: {platform.system()} {platform.release()} ({platform.architecture()})")
+va_version = pkg_resources.get_distribution("vision-agent").version
+print(f"Vision Agent version: {va_version}")"""
+        )
+        sys_versions = "\n".join(result.logs.stdout)
+        _LOGGER.info(f"E2BCodeInterpreter initialized:\n{sys_versions}")
+
+    def close(self, *args: Any, **kwargs: Any) -> None:
+        self.interpreter.notebook.close()
+        self.interpreter.close()
+
+    def restart_kernel(self) -> None:
+        self.interpreter.notebook.restart_kernel()
+
+    def exec_cell(self, code: str) -> Execution:
+        execution = self.interpreter.notebook.exec_cell(code)
+        return Execution.from_e2b_execution(execution)
+
+    def upload_file(self, file: Union[str, Path, IO]) -> str:
+        try:
+            if isinstance(file, (Path, str)):
+                file = open(file, "rb")
+            return cast(str, self.interpreter.upload_file(cast(IO, file)))
+        finally:
+            assert isinstance(file, IOBase), f"Unexpected file type: {type(file)}"
+            file.close()
+            _LOGGER.info(f"File ({file}) is uploaded to: {file.name}")
+
+    def download_file(self, file_path: str) -> Path:
+        file = tempfile.NamedTemporaryFile(mode="w+b", delete=False)
+        file.write(self.interpreter.download_file(file_path))
+        _LOGGER.info(f"File ({file_path}) is downloaded to: {file.name}")
+        return Path(file.name)
+
+    @staticmethod
+    @tenacity.retry(
+        wait=tenacity.wait_exponential_jitter(),
+        stop=tenacity.stop_after_delay(60),
+        retry=tenacity.retry_if_exception_type(ServiceException),
+    )
+    def _new_e2b_interpreter_impl(*args, **kwargs) -> E2BCodeInterpreterImpl:  # type: ignore
+        return E2BCodeInterpreterImpl(template="va-sandbox", *args, **kwargs)
+
+
+class LocalCodeInterpreter(CodeInterpreter):
     def __init__(self, timeout: int = 600) -> None:
+        super().__init__(timeout=timeout)
         self.nb = nbformat.v4.new_notebook()
-        self.timeout = timeout
         self.nb_client = NotebookClient(self.nb, timeout=self.timeout)
+        _LOGGER.info(
+            f"""Local code interpreter initialized
+Python version: {sys.version}
+OS version: {platform.system()} {platform.release()} ({platform.architecture()})
+nbclient version: {nbclient_version}
+nbformat version: {nbformat.__version__}
+Timeout: {self.timeout}"""
+        )
 
-    def build(self) -> None:
+    def _new_kernel(self) -> None:
         if self.nb_client.kc is None or not run_sync(self.nb_client.kc.is_alive)():  # type: ignore
             self.nb_client.create_kernel_manager()
             self.nb_client.start_new_kernel()
             self.nb_client.start_new_kernel_client()
 
-    def terminate(self) -> None:
+    def close(self) -> None:
         if self.nb_client.km is not None and run_sync(self.nb_client.km.is_alive)():  # type: ignore
             run_sync(self.nb_client.km.shutdown_kernel)(now=True)
             run_sync(self.nb_client.km.cleanup_resources)()
@@ -72,36 +471,86 @@ def terminate(self) -> None:
             self.nb_client.kc = None
             self.nb_client.km = None
 
-    def reset(self) -> None:
-        self.terminate()
+    def restart_kernel(self) -> None:
+        self.close()
         self.nb = nbformat.v4.new_notebook()
         self.nb_client = NotebookClient(self.nb, timeout=self.timeout)
         sleep(1)
-        self.build()
+        self._new_kernel()
 
-    def run_cell(self, cell: NotebookNode, cell_index: int) -> Tuple[bool, str]:
+    def exec_cell(self, code: str) -> Execution:
         try:
-            self.nb_client.execute_cell(cell, cell_index)
-            return parse_outputs(self.nb.cells[-1].outputs)
-        except CellTimeoutError:
+            self.nb.cells.append(new_code_cell(code))
+            cell = self.nb.cells[-1]
+            self.nb_client.execute_cell(cell, len(self.nb.cells) - 1)
+            return _parse_local_code_interpreter_outputs(self.nb.cells[-1].outputs)
+        except CellTimeoutError as e:
             run_sync(self.nb_client.km.interrupt_kernel)()  # type: ignore
             sleep(1)
-            return False, "Cell execution timed out."
-        except DeadKernelError:
-            self.reset()
-            return False, "DeadKernelError"
-        except Exception:
-            return parse_outputs(self.nb.cells[-1].outputs)
-
-    def add_code_cell(self, code: str) -> None:
-        self.nb.cells.append(new_code_cell(code))
-
-    def run_additional(self, code: str) -> Tuple[bool, str]:
-        self.build()
-        self.add_code_cell(code)
-        return self.run_cell(self.nb.cells[-1], len(self.nb.cells) - 1)
-
-    def run_isolation(self, code: str) -> Tuple[bool, str]:
-        self.reset()
-        self.add_code_cell(code)
-        return self.run_cell(self.nb.cells[-1], len(self.nb.cells) - 1)
+            traceback_raw = traceback.format_exc().splitlines()
+            return Execution.from_exception(e, traceback_raw)
+        except DeadKernelError as e:
+            self.restart_kernel()
+            traceback_raw = traceback.format_exc().splitlines()
+            return Execution.from_exception(e, traceback_raw)
+        except Exception as e:
+            traceback_raw = traceback.format_exc().splitlines()
+            return Execution.from_exception(e, traceback_raw)
+
+
+class CodeInterpreterFactory:
+    """Factory class for creating code interpreters.
+    Could be extended to support multiple code interpreters.
+    """
+
+    _instance_map: Dict[str, CodeInterpreter] = {}
+    _default_key = "default"
+
+    @staticmethod
+    def get_default_instance() -> CodeInterpreter:
+        inst_map = CodeInterpreterFactory._instance_map
+        instance = inst_map.get(CodeInterpreterFactory._default_key)
+        if instance:
+            return instance
+        if os.getenv("CODE_SANDBOX_RUNTIME") == "e2b":
+            instance = E2BCodeInterpreter(timeout=600)
+            atexit.register(instance.close)
+        else:
+            instance = LocalCodeInterpreter(timeout=600)
+        inst_map[CodeInterpreterFactory._default_key] = instance
+        return instance
+
+
+def _parse_local_code_interpreter_outputs(outputs: List[Dict[str, Any]]) -> Execution:
+    """
+    Parse notebook cell outputs to Execution object.
+    Output types: https://nbformat.readthedocs.io/en/latest/format_description.html#code-cell-outputs
+    """
+    execution = Execution()
+    for data in outputs:
+        if data["output_type"] == "error":
+            _LOGGER.debug("Cell finished execution with error")
+            execution.error = Error(
+                name=data["ename"],
+                value=data["evalue"],
+                traceback_raw=data["traceback"],
+            )
+        elif data["output_type"] == "stream":
+            if data["name"] == "stdout":
+                execution.logs.stdout.append(data["text"])
+            elif data["name"] == "stderr":
+                execution.logs.stderr.append(data["text"])
+        elif data["output_type"] in "display_data":
+            result = Result(is_main_result=False, data=data["data"])
+            execution.results.append(result)
+        elif data["output_type"] == "execute_result":
+            result = Result(is_main_result=True, data=data["data"])
+            execution.results.append(result)
+        else:
+            raise ValueError(f"Unknown output type: {data['output_type']}")
+    return execution
+
+
+def _remove_escape_and_color_codes(input_str: str) -> str:
+    pattern = re.compile(r"\x1b\[[0-9;]*[mK]")
+    return pattern.sub("", input_str)