diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 00000000..457961bd
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,10 @@
+repos:
+  - repo: https://github.com/psf/black
+    rev: 24.4.2
+    hooks:
+      - id: black
+        language_version: python3.9
+  - repo: https://github.com/pycqa/flake8
+    rev: 7.0.0
+    hooks:
+      - id: flake8
diff --git a/poetry.lock b/poetry.lock
index d1b4a58f..37c770bf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -148,33 +148,33 @@ files = [
 
 [[package]]
 name = "black"
-version = "24.4.2"
+version = "24.8.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -205,68 +205,94 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "1.16.0"
+version = "1.17.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
 pycparser = "*"
 
+[[package]]
+name = "cfgv"
+version = "3.4.0"
+description = "Validate configuration and produce human readable error messages."
+optional = false
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+
 [[package]]
 name = "charset-normalizer"
 version = "3.3.2"
@@ -424,33 +450,33 @@ dev = ["black", "flake8", "flake8-pyi", "matplotlib", "mypy (==0.770)", "numpy",
 
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 [[package]]
@@ -464,6 +490,17 @@ files = [
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 ]
 
+[[package]]
+name = "distlib"
+version = "0.3.8"
+description = "Distribution utilities"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -746,6 +783,20 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr
 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"
+description = "File identification library for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+license = ["ukkonen"]
+
 [[package]]
 name = "idna"
 version = "3.7"
@@ -1107,13 +1158,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "langsmith"
-version = "0.1.95"
+version = "0.1.98"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1367,13 +1418,13 @@ pyyaml = ">=5.1"
 
 [[package]]
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-version = "9.5.30"
+version = "9.5.31"
 description = "Documentation that simply works"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1601,6 +1652,17 @@ doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
+[[package]]
+name = "nodeenv"
+version = "1.9.1"
+description = "Node.js virtual environment builder"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
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+]
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -1648,23 +1710,24 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.37.1"
+version = "1.40.1"
 description = "The official Python library for the openai API"
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 python-versions = ">=3.7.1"
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 [package.dependencies]
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 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
@@ -2086,6 +2149,24 @@ files = [
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 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
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+version = "3.8.0"
+description = "A framework for managing and maintaining multi-language pre-commit hooks."
+optional = false
+python-versions = ">=3.9"
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+identify = ">=1.0.0"
+nodeenv = ">=0.11.1"
+pyyaml = ">=5.1"
+virtualenv = ">=20.10.0"
+
 [[package]]
 name = "proglog"
 version = "0.1.10"
@@ -2480,62 +2561,64 @@ files = [
 
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+version = "6.0.2"
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 ]
 
 [[package]]
@@ -2554,99 +2637,120 @@ pyyaml = "*"
 
 [[package]]
 name = "pyzmq"
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 description = "Python bindings for 0MQ"
 optional = false
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 [package.dependencies]
@@ -2816,114 +2920,114 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
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+    {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:65794e4048ee837494aea3c21a28ad5fc080994dfba5b036cf84de37f7ad5074"},
+    {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:faefcc78f53a88f3076b7f8be0a8f8d35133a3ecf7f3770895c25f8813460f08"},
+    {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:5b4f105deeffa28bbcdff6c49b34e74903139afa690e35d2d9e3c2c2fba18cec"},
+    {file = "rpds_py-0.20.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fdfc3a892927458d98f3d55428ae46b921d1f7543b89382fdb483f5640daaec8"},
+    {file = "rpds_py-0.20.0.tar.gz", hash = "sha256:d72a210824facfdaf8768cf2d7ca25a042c30320b3020de2fa04640920d4e121"},
 ]
 
 [[package]]
@@ -3273,13 +3377,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.4"
+version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
-    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
+    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
 ]
 
 [package.dependencies]
@@ -3403,6 +3507,26 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "virtualenv"
+version = "20.26.3"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"},
+    {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+
 [[package]]
 name = "watchdog"
 version = "4.0.1"
@@ -3476,4 +3600,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "0f451ce3d5b097ee7416fef35d50063ab11795488b0a9f188ac22da2794bafe8"
+content-hash = "e864e0046a1004192f84746488c326b9109c1d83c72f7206530390270e3f9c96"
diff --git a/pyproject.toml b/pyproject.toml
index 95dd7509..e1708ef3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,6 +17,7 @@ packages = [{include = "vision_agent"}]
 
 [tool.poetry.dependencies]  # main dependency group
 python = ">=3.9,<4.0"
+
 numpy = ">=1.21.0,<2.0.0"
 pillow = "10.*"
 requests = "2.*"
@@ -60,6 +61,7 @@ mkdocstrings = {extras = ["python"], version = "^0.23.0"}
 mkdocs-material = "^9.4.2"
 types-tabulate = "^0.9.0.20240106"
 scikit-image = "<0.23.1"
+pre-commit = "^3.8.0"
 
 [tool.pytest.ini_options]
 log_cli = true
@@ -90,7 +92,6 @@ warn_unused_configs = true
 warn_unused_ignores = true
 warn_return_any = true
 show_error_codes = true
-disallow_any_unimported = true
 
 [[tool.mypy.overrides]]
 ignore_missing_imports = true
@@ -101,5 +102,5 @@ module = [
     "sentence_transformers.*",
     "moviepy.*",
     "e2b_code_interpreter.*",
-    "e2b.*",
+    "e2b.*"
 ]
diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py
index 95560ecd..9090b706 100644
--- a/vision_agent/agent/vision_agent.py
+++ b/vision_agent/agent/vision_agent.py
@@ -28,7 +28,7 @@ class DefaultImports:
     code = [
         "from typing import *",
         "from vision_agent.utils.execute import CodeInterpreter",
-        "from vision_agent.tools.meta_tools import generate_vision_code, edit_vision_code, open_file, create_file, scroll_up, scroll_down, edit_file, get_tool_descriptions",
+        "from vision_agent.tools.meta_tools import generate_vision_code, edit_vision_code, open_file, create_file, scroll_up, scroll_down, edit_file, get_tool_descriptions, florencev2_fine_tuning",
     ]
 
     @staticmethod
diff --git a/vision_agent/clients/__init__.py b/vision_agent/clients/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/vision_agent/clients/http.py b/vision_agent/clients/http.py
new file mode 100644
index 00000000..678148a9
--- /dev/null
+++ b/vision_agent/clients/http.py
@@ -0,0 +1,46 @@
+import json
+import logging
+from typing import Any, Dict, Optional
+
+from requests import Session
+from requests.adapters import HTTPAdapter
+from requests.exceptions import ConnectionError, RequestException, Timeout
+
+_LOGGER = logging.getLogger(__name__)
+
+
+class BaseHTTP:
+    _TIMEOUT = 30  # seconds
+    _MAX_RETRIES = 3
+
+    def __init__(
+        self, base_endpoint: str, *, headers: Optional[Dict[str, Any]] = None
+    ) -> None:
+        self._headers = headers
+        if headers is None:
+            self._headers = {
+                "Content-Type": "application/json",
+            }
+        self._base_endpoint = base_endpoint
+        self._session = Session()
+        self._session.headers.update(self._headers)  # type: ignore
+        self._session.mount(
+            self._base_endpoint, HTTPAdapter(max_retries=self._MAX_RETRIES)
+        )
+
+    def post(self, url: str, payload: Dict[str, Any]) -> Dict[str, Any]:
+        formatted_url = f"{self._base_endpoint}/{url}"
+        _LOGGER.info(f"Sending data to {formatted_url}")
+        try:
+            response = self._session.post(
+                url=formatted_url, json=payload, timeout=self._TIMEOUT
+            )
+            response.raise_for_status()
+            result: Dict[str, Any] = response.json()
+            _LOGGER.info(json.dumps(result))
+        except (ConnectionError, Timeout, RequestException) as err:
+            _LOGGER.warning(f"Error: {err}.")
+        except json.JSONDecodeError:
+            resp_text = response.text
+            _LOGGER.warning(f"Response seems incorrect: '{resp_text}'.")
+        return result
diff --git a/vision_agent/clients/landing_public_api.py b/vision_agent/clients/landing_public_api.py
new file mode 100644
index 00000000..4c50c388
--- /dev/null
+++ b/vision_agent/clients/landing_public_api.py
@@ -0,0 +1,26 @@
+import os
+from uuid import UUID
+from typing import List
+
+from vision_agent.clients.http import BaseHTTP
+from vision_agent.utils.type_defs import LandingaiAPIKey
+from vision_agent.tools.meta_tools_types import BboxInputBase64, PromptTask
+
+
+class LandingPublicAPI(BaseHTTP):
+    def __init__(self) -> None:
+        landing_url = os.environ.get("LANDINGAI_URL", "https://api.dev.landing.ai")
+        landing_api_key = os.environ.get("LANDINGAI_API_KEY", LandingaiAPIKey().api_key)
+        headers = {"Content-Type": "application/json", "apikey": landing_api_key}
+        super().__init__(base_endpoint=landing_url, headers=headers)
+
+    def launch_fine_tuning_job(
+        self, model_name: str, task: PromptTask, bboxes: List[BboxInputBase64]
+    ) -> UUID:
+        url = "v1/agent/jobs/fine-tuning"
+        data = {
+            "model": {"name": model_name, "task": task.value},
+            "bboxes": [bbox.model_dump(by_alias=True) for bbox in bboxes],
+        }
+        response = self.post(url, payload=data)
+        return UUID(response["jobId"])
diff --git a/vision_agent/tools/__init__.py b/vision_agent/tools/__init__.py
index e95a78c7..52681274 100644
--- a/vision_agent/tools/__init__.py
+++ b/vision_agent/tools/__init__.py
@@ -1,6 +1,6 @@
 from typing import Callable, List, Optional
 
-from .meta_tools import META_TOOL_DOCSTRING
+from .meta_tools import META_TOOL_DOCSTRING, florencev2_fine_tuning
 from .prompts import CHOOSE_PARAMS, SYSTEM_PROMPT
 from .tools import (
     TOOL_DESCRIPTIONS,
diff --git a/vision_agent/tools/meta_tools.py b/vision_agent/tools/meta_tools.py
index c5860a60..851aab18 100644
--- a/vision_agent/tools/meta_tools.py
+++ b/vision_agent/tools/meta_tools.py
@@ -1,5 +1,6 @@
 import os
 import subprocess
+from uuid import UUID
 from pathlib import Path
 from typing import Any, Dict, List, Union
 
@@ -7,6 +8,9 @@
 from vision_agent.lmm.types import Message
 from vision_agent.tools.tool_utils import get_tool_documentation
 from vision_agent.tools.tools import TOOL_DESCRIPTIONS
+from vision_agent.utils.image_utils import convert_to_b64
+from vision_agent.clients.landing_public_api import LandingPublicAPI
+from vision_agent.tools.meta_tools_types import BboxInput, BboxInputBase64, PromptTask
 
 # These tools are adapted from SWE-Agent https://github.com/princeton-nlp/SWE-agent
 
@@ -385,6 +389,46 @@ def get_tool_descriptions() -> str:
     return TOOL_DESCRIPTIONS
 
 
+def florencev2_fine_tuning(bboxes: List[Dict[str, Any]], task: str) -> UUID:
+    """'florencev2_fine_tuning' is a tool that fine-tune florencev2 to be able
+    to detect objects in an image based on a given dataset. It returns the fine
+    tuning job id.
+
+    Parameters:
+        bboxes (List[BboxInput]): A list of BboxInput containing the
+            image path, labels and bounding boxes.
+        task (PromptTask): The florencev2 fine-tuning task. The options are
+            CAPTION, CAPTION_TO_PHRASE_GROUNDING and OBJECT_DETECTION.
+
+    Returns:
+        UUID: The fine tuning job id, this id will used to retrieve the fine
+            tuned model.
+
+    Example
+    -------
+        >>> fine_tuning_job_id = florencev2_fine_tuning(
+            [{'image_path': 'filename.png', 'labels': ['screw'], 'bboxes': [[370, 30, 560, 290]]},
+             {'image_path': 'filename.png', 'labels': ['screw'], 'bboxes': [[120, 0, 300, 170]]}],
+             "OBJECT_DETECTION"
+        )
+    """
+    bboxes_input = [BboxInput.model_validate(bbox) for bbox in bboxes]
+    task_input = PromptTask[task]
+    fine_tuning_request = [
+        BboxInputBase64(
+            image=convert_to_b64(bbox_input.image_path),
+            filename=bbox_input.image_path.split("/")[-1],
+            labels=bbox_input.labels,
+            bboxes=bbox_input.bboxes,
+        )
+        for bbox_input in bboxes_input
+    ]
+    landing_api = LandingPublicAPI()
+    return landing_api.launch_fine_tuning_job(
+        "florencev2", task_input, fine_tuning_request
+    )
+
+
 META_TOOL_DOCSTRING = get_tool_documentation(
     [
         get_tool_descriptions,
@@ -398,5 +442,6 @@ def get_tool_descriptions() -> str:
         search_dir,
         search_file,
         find_file,
+        florencev2_fine_tuning,
     ]
 )
diff --git a/vision_agent/tools/meta_tools_types.py b/vision_agent/tools/meta_tools_types.py
new file mode 100644
index 00000000..4c60923e
--- /dev/null
+++ b/vision_agent/tools/meta_tools_types.py
@@ -0,0 +1,30 @@
+from enum import Enum
+from typing import List, Tuple
+
+from pydantic import BaseModel
+
+
+class BboxInput(BaseModel):
+    image_path: str
+    labels: List[str]
+    bboxes: List[Tuple[int, int, int, int]]
+
+
+class BboxInputBase64(BaseModel):
+    image: str
+    filename: str
+    labels: List[str]
+    bboxes: List[Tuple[int, int, int, int]]
+
+
+class PromptTask(str, Enum):
+    """
+    Valid task prompts options for the Florencev2 model.
+    """
+
+    CAPTION = "<CAPTION>"
+    """"""
+    CAPTION_TO_PHRASE_GROUNDING = "<CAPTION_TO_PHRASE_GROUNDING>"
+    """"""
+    OBJECT_DETECTION = "<OD>"
+    """"""
diff --git a/vision_agent/tools/tools.py b/vision_agent/tools/tools.py
index 38b8e31c..a78457ed 100644
--- a/vision_agent/tools/tools.py
+++ b/vision_agent/tools/tools.py
@@ -2,23 +2,23 @@
 import json
 import logging
 import tempfile
-from importlib import resources
 from pathlib import Path
+from importlib import resources
 from typing import Any, Dict, List, Optional, Tuple, Union, cast
 
 import cv2
-import numpy as np
 import requests
+import numpy as np
+from pytube import YouTube  # type: ignore
 from moviepy.editor import ImageSequenceClip
 from PIL import Image, ImageDraw, ImageFont
 from pillow_heif import register_heif_opener  # type: ignore
-from pytube import YouTube  # type: ignore
 
 from vision_agent.tools.tool_utils import (
+    send_inference_request,
     get_tool_descriptions,
     get_tool_documentation,
     get_tools_df,
-    send_inference_request,
 )
 from vision_agent.utils import extract_frames_from_video
 from vision_agent.utils.execute import FileSerializer, MimeType
@@ -1063,7 +1063,6 @@ def save_video(
     if fps <= 0:
         _LOGGER.warning(f"Invalid fps value: {fps}. Setting fps to 4 (default value).")
         fps = 4
-
     with ImageSequenceClip(frames, fps=fps) as video:
         if output_video_path:
             f = open(output_video_path, "wb")
diff --git a/vision_agent/utils/execute.py b/vision_agent/utils/execute.py
index 0c058fe4..b157b1df 100644
--- a/vision_agent/utils/execute.py
+++ b/vision_agent/utils/execute.py
@@ -209,7 +209,7 @@ def formats(self) -> Iterable[str]:
         return formats
 
     @staticmethod
-    def from_e2b_result(result: E2BResult) -> "Result":  # type: ignore
+    def from_e2b_result(result: E2BResult) -> "Result":
         """
         Creates a Result object from an E2BResult object.
         """
@@ -361,7 +361,7 @@ def from_exception(exec: Exception, traceback_raw: List[str]) -> "Execution":
         )
 
     @staticmethod
-    def from_e2b_execution(exec: E2BExecution) -> "Execution":  # type: ignore
+    def from_e2b_execution(exec: E2BExecution) -> "Execution":
         """Creates an Execution object from an E2BResult object."""
         return Execution(
             results=[Result.from_e2b_result(res) for res in exec.results],