From 0ddad6b907bde45141bbff08fe08faf34fd12f41 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Mon, 29 Apr 2024 16:28:22 -0700 Subject: [PATCH 01/24] fix type errors' --- vision_agent/agent/execution.py | 72 ++++++++++++++++----------------- 1 file changed, 36 insertions(+), 36 deletions(-) diff --git a/vision_agent/agent/execution.py b/vision_agent/agent/execution.py index 5e1996b2..9ec4010d 100644 --- a/vision_agent/agent/execution.py +++ b/vision_agent/agent/execution.py @@ -231,46 +231,46 @@ def reliability_guard(maximum_memory_bytes: Optional[int] = None) -> None: import builtins - builtins.exit = None - builtins.quit = None + builtins.exit = None # type: ignore + builtins.quit = None # type: ignore import os os.environ["OMP_NUM_THREADS"] = "1" - os.kill = None - os.system = None + os.kill = None # type: ignore + os.system = None # type: ignore # os.putenv = None # this causes numpy to fail on import - os.remove = None - os.removedirs = None - os.rmdir = None - os.fchdir = None - os.setuid = None - os.fork = None - os.forkpty = None - os.killpg = None - os.rename = None - os.renames = None - os.truncate = None - os.replace = None - os.unlink = None - os.fchmod = None - os.fchown = None - os.chmod = None - os.chown = None - os.chroot = None - os.fchdir = None - os.lchflags = None - os.lchmod = None - os.lchown = None - os.getcwd = None - os.chdir = None + os.remove = None # type: ignore + os.removedirs = None # type: ignore + os.rmdir = None # type: ignore + os.fchdir = None # type: ignore + os.setuid = None # type: ignore + os.fork = None # type: ignore + os.forkpty = None # type: ignore + os.killpg = None # type: ignore + os.rename = None # type: ignore + os.renames = None # type: ignore + os.truncate = None # type: ignore + os.replace = None # type: ignore + os.unlink = None # type: ignore + os.fchmod = None # type: ignore + os.fchown = None # type: ignore + os.chmod = None # type: ignore + os.chown = None # type: ignore + os.chroot = None # type: ignore + os.fchdir = None # type: ignore + os.lchflags = None # type: ignore + os.lchmod = None # type: ignore + os.lchown = None # type: ignore + os.getcwd = None # type: ignore + os.chdir = None # type: ignore import shutil - shutil.rmtree = None - shutil.move = None - shutil.chown = None + shutil.rmtree = None # type: ignore + shutil.move = None # type: ignore + shutil.chown = None # type: ignore import subprocess @@ -280,8 +280,8 @@ def reliability_guard(maximum_memory_bytes: Optional[int] = None) -> None: import sys - sys.modules["ipdb"] = None - sys.modules["joblib"] = None - sys.modules["resource"] = None - sys.modules["psutil"] = None - sys.modules["tkinter"] = None + sys.modules["ipdb"] = None # type: ignore + sys.modules["joblib"] = None # type: ignore + sys.modules["resource"] = None # type: ignore + sys.modules["psutil"] = None # type: ignore + sys.modules["tkinter"] = None # type: ignore From 8bf64f20a35475154ae463ad256d444a63b1c434 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 30 Apr 2024 08:07:34 -0700 Subject: [PATCH 02/24] fix type errors --- vision_agent/agent/execution.py | 72 ++++++++++++++++----------------- 1 file changed, 36 insertions(+), 36 deletions(-) diff --git a/vision_agent/agent/execution.py b/vision_agent/agent/execution.py index 9ec4010d..5e1996b2 100644 --- a/vision_agent/agent/execution.py +++ b/vision_agent/agent/execution.py @@ -231,46 +231,46 @@ def reliability_guard(maximum_memory_bytes: Optional[int] = None) -> None: import builtins - builtins.exit = None # type: ignore - builtins.quit = None # type: ignore + builtins.exit = None + builtins.quit = None import os os.environ["OMP_NUM_THREADS"] = "1" - os.kill = None # type: ignore - os.system = None # type: ignore + os.kill = None + os.system = None # os.putenv = None # this causes numpy to fail on import - os.remove = None # type: ignore - os.removedirs = None # type: ignore - os.rmdir = None # type: ignore - os.fchdir = None # type: ignore - os.setuid = None # type: ignore - os.fork = None # type: ignore - os.forkpty = None # type: ignore - os.killpg = None # type: ignore - os.rename = None # type: ignore - os.renames = None # type: ignore - os.truncate = None # type: ignore - os.replace = None # type: ignore - os.unlink = None # type: ignore - os.fchmod = None # type: ignore - os.fchown = None # type: ignore - os.chmod = None # type: ignore - os.chown = None # type: ignore - os.chroot = None # type: ignore - os.fchdir = None # type: ignore - os.lchflags = None # type: ignore - os.lchmod = None # type: ignore - os.lchown = None # type: ignore - os.getcwd = None # type: ignore - os.chdir = None # type: ignore + os.remove = None + os.removedirs = None + os.rmdir = None + os.fchdir = None + os.setuid = None + os.fork = None + os.forkpty = None + os.killpg = None + os.rename = None + os.renames = None + os.truncate = None + os.replace = None + os.unlink = None + os.fchmod = None + os.fchown = None + os.chmod = None + os.chown = None + os.chroot = None + os.fchdir = None + os.lchflags = None + os.lchmod = None + os.lchown = None + os.getcwd = None + os.chdir = None import shutil - shutil.rmtree = None # type: ignore - shutil.move = None # type: ignore - shutil.chown = None # type: ignore + shutil.rmtree = None + shutil.move = None + shutil.chown = None import subprocess @@ -280,8 +280,8 @@ def reliability_guard(maximum_memory_bytes: Optional[int] = None) -> None: import sys - sys.modules["ipdb"] = None # type: ignore - sys.modules["joblib"] = None # type: ignore - sys.modules["resource"] = None # type: ignore - sys.modules["psutil"] = None # type: ignore - sys.modules["tkinter"] = None # type: ignore + sys.modules["ipdb"] = None + sys.modules["joblib"] = None + sys.modules["resource"] = None + sys.modules["psutil"] = None + sys.modules["tkinter"] = None From e4acaa1fe048c54a726c2f7013e9262aeaaa6604 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 30 Apr 2024 18:26:42 -0700 Subject: [PATCH 03/24] add default system prompt --- vision_agent/llm/llm.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/vision_agent/llm/llm.py b/vision_agent/llm/llm.py index 842d27aa..14b096b8 100644 --- a/vision_agent/llm/llm.py +++ b/vision_agent/llm/llm.py @@ -37,6 +37,7 @@ def __init__( model_name: str = "gpt-4-turbo", api_key: Optional[str] = None, json_mode: bool = False, + system_prompt: Optional[str] = None, **kwargs: Any ): if not api_key: @@ -45,22 +46,29 @@ def __init__( self.client = OpenAI(api_key=api_key) self.model_name = model_name + self.system_prompt = system_prompt self.kwargs = kwargs if json_mode: self.kwargs["response_format"] = {"type": "json_object"} def generate(self, prompt: str) -> str: + messages = [] + if self.system_prompt: + messages.append({"role": "system", "content": self.system_prompt}) + messages.append({"role": "user", "content": prompt}) + response = self.client.chat.completions.create( model=self.model_name, - messages=[ - {"role": "user", "content": prompt}, - ], + messages=messages, **self.kwargs, ) return cast(str, response.choices[0].message.content) def chat(self, chat: List[Dict[str, str]]) -> str: + if self.system_prompt and not any(msg["role"] == "system" for msg in chat): + chat.insert(0, {"role": "system", "content": self.system_prompt}) + response = self.client.chat.completions.create( model=self.model_name, messages=chat, # type: ignore From c597a9eb9095eb704c285c9dd9c8c2da71442f79 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 30 Apr 2024 18:28:58 -0700 Subject: [PATCH 04/24] add notebook executor --- vision_agent/__init__.py | 1 + vision_agent/execute.py | 93 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 94 insertions(+) create mode 100644 vision_agent/execute.py diff --git a/vision_agent/__init__.py b/vision_agent/__init__.py index bf71560f..d39e6c49 100644 --- a/vision_agent/__init__.py +++ b/vision_agent/__init__.py @@ -1,3 +1,4 @@ from .agent import Agent from .llm import LLM, OpenAILLM from .lmm import LMM, LLaVALMM, OpenAILMM, get_lmm +from .execute import Execute diff --git a/vision_agent/execute.py b/vision_agent/execute.py new file mode 100644 index 00000000..4680bde9 --- /dev/null +++ b/vision_agent/execute.py @@ -0,0 +1,93 @@ +import re +from typing import Dict, List, Tuple + +import nbformat +from nbclient import NotebookClient +from nbclient.util import run_sync +from nbclient.exceptions import CellTimeoutError, DeadKernelError +from nbformat import NotebookNode +from nbformat.v4 import new_code_cell + + +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: + 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"] == "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: + def __init__(self, timeout: int = 600) -> None: + self.nb = nbformat.v4.new_notebook() + self.timeout = timeout + self.nb_client = NotebookClient(self.nb, timeout=self.timeout) + + def build(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: + 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)() + + channels = [ + self.nb_client.kc.stdin_channel, + self.nb_client.kc.hb_channel, + self.nb_client.kc.control_channel, + ] + + for ch in channels: + if ch.is_alive(): + ch.stop() + + self.nb_client.kc = None + self.nb_client.km = None + + def reset(self) -> None: + self.terminate() + self.nb = nbformat.v4.new_notebook() + self.nb_client = NotebookClient(self.nb, timeout=self.timeout) + self.build() + + def run_cell(self, cell: NotebookNode, cell_index: int) -> Tuple[bool, str]: + try: + self.nb_client.execute_cell(cell, cell_index) + return parse_outputs(self.nb.cells[-1].outputs) + except CellTimeoutError: + run_sync(self.nb_client.km.interrupt_kernel)() # type: ignore + 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) From 1e3ef5a381bfa24dfc22cb4c4a3d0e1ce71ac061 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 09:16:58 -0700 Subject: [PATCH 05/24] moved execute --- vision_agent/__init__.py | 1 - vision_agent/{ => utils}/execute.py | 8 ++++---- 2 files changed, 4 insertions(+), 5 deletions(-) rename vision_agent/{ => utils}/execute.py (95%) diff --git a/vision_agent/__init__.py b/vision_agent/__init__.py index d39e6c49..bf71560f 100644 --- a/vision_agent/__init__.py +++ b/vision_agent/__init__.py @@ -1,4 +1,3 @@ from .agent import Agent from .llm import LLM, OpenAILLM from .lmm import LMM, LLaVALMM, OpenAILMM, get_lmm -from .execute import Execute diff --git a/vision_agent/execute.py b/vision_agent/utils/execute.py similarity index 95% rename from vision_agent/execute.py rename to vision_agent/utils/execute.py index 4680bde9..ccc0b876 100644 --- a/vision_agent/execute.py +++ b/vision_agent/utils/execute.py @@ -3,8 +3,8 @@ import nbformat from nbclient import NotebookClient -from nbclient.util import run_sync from nbclient.exceptions import CellTimeoutError, DeadKernelError +from nbclient.util import run_sync from nbformat import NotebookNode from nbformat.v4 import new_code_cell @@ -37,13 +37,13 @@ def __init__(self, timeout: int = 600) -> None: self.nb_client = NotebookClient(self.nb, timeout=self.timeout) def build(self) -> None: - if self.nb_client.kc is None or not run_sync(self.nb_client.kc.is_alive)(): # type: ignore + 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: - if self.nb_client.km is not None and run_sync(self.nb_client.km.is_alive)(): # type: ignore + 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)() @@ -71,7 +71,7 @@ def run_cell(self, cell: NotebookNode, cell_index: int) -> Tuple[bool, str]: self.nb_client.execute_cell(cell, cell_index) return parse_outputs(self.nb.cells[-1].outputs) except CellTimeoutError: - run_sync(self.nb_client.km.interrupt_kernel)() # type: ignore + run_sync(self.nb_client.km.interrupt_kernel)() # type: ignore return False, "Cell execution timed out." except DeadKernelError: self.reset() From 32669a5cbfd1096acbe1b9c4db8c3a452c82caf2 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 09:17:18 -0700 Subject: [PATCH 06/24] removed unnecessary key --- vision_agent/tools/tools.py | 1 - 1 file changed, 1 deletion(-) diff --git a/vision_agent/tools/tools.py b/vision_agent/tools/tools.py index 743f9367..59d37713 100644 --- a/vision_agent/tools/tools.py +++ b/vision_agent/tools/tools.py @@ -422,7 +422,6 @@ def __call__( request_data = { "prompt": prompt, "image": image_b64, - "tool": "dinov", } data: Dict[str, Any] = _send_inference_request(request_data, "dinov") if "bboxes" in data: From bfafe26b26689dd1b63715bcc0bbf3274b85681d Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 09:17:26 -0700 Subject: [PATCH 07/24] added more tools --- vision_agent/tools/tools_v2.py | 163 ++++++++++++++++++++++++++++++--- 1 file changed, 151 insertions(+), 12 deletions(-) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 3e39107d..12c308fc 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -6,7 +6,7 @@ import numpy as np from PIL import Image, ImageDraw, ImageFont -from vision_agent.image_utils import convert_to_b64, normalize_bbox +from vision_agent.image_utils import convert_to_b64, normalize_bbox, rle_decode from vision_agent.tools.tool_utils import _send_inference_request COLORS = [ @@ -39,14 +39,17 @@ def grounding_dino( box_threshold: float = 0.20, iou_threshold: float = 0.75, ) -> List[Dict[str, Any]]: - """'grounding_dino' is a tool that can detect arbitrary objects with inputs such as - category names or referring expressions. + """'grounding_dino' is a tool that can detect and count objects given a text prompt + such as category names or referring expressions. It returns a list and count of + bounding boxes, label names and associated probability scores. Parameters: prompt (str): The prompt to ground to the image. image (np.ndarray): The image to ground the prompt to. - box_threshold (float, optional): The threshold for the box detection. Defaults to 0.20. - iou_threshold (float, optional): The threshold for the Intersection over Union (IoU). Defaults to 0.75. + box_threshold (float, optional): The threshold for the box detection. Defaults + to 0.20. + iou_threshold (float, optional): The threshold for the Intersection over Union + (IoU). Defaults to 0.75. Returns: List[Dict[str, Any]]: A list of dictionaries containing the score, label, and @@ -55,7 +58,10 @@ def grounding_dino( Example ------- >>> grounding_dino("car. dinosaur", image) - [{'score': 0.99, 'label': 'dinosaur', 'bbox': [0.1, 0.11, 0.35, 0.4]}] + [ + {'score': 0.99, 'label': 'dinosaur', 'bbox': [0.1, 0.11, 0.35, 0.4]}, + {'score': 0.98, 'label': 'car', 'bbox': [0.2, 0.21, 0.45, 0.5}, + ] """ image_size = image.shape[:2] image_b64 = convert_to_b64(Image.fromarray(image)) @@ -78,6 +84,66 @@ def grounding_dino( return return_data +def grounding_sam( + prompt: str, + image: np.ndarray, + box_threshold: float = 0.20, + iou_threshold: float = 0.75, +) -> List[Dict[str, Any]]: + """'grounding_sam' is a tool that can detect and segment objects given a text + prompt such as category names or referring expressions. It returns a list of + bounding boxes, label names and masks file names and associated probability scores. + + Parameters: + prompt (str): The prompt to ground to the image. + image (np.ndarray): The image to ground the prompt to. + box_threshold (float, optional): The threshold for the box detection. Defaults + to 0.20. + iou_threshold (float, optional): The threshold for the Intersection over Union + (IoU). Defaults to 0.75. + + Returns: + List[Dict[str, Any]]: A list of dictionaries containing the score, label, + bounding box, and mask of the detected objects with normalized coordinates. + + Example + ------- + >>> grounding_sam("car. dinosaur", image) + [ + { + 'score': 0.99, + 'label': 'dinosaur', + 'bbox': [0.1, 0.11, 0.35, 0.4], + 'mask': array([[0, 0, 0, ..., 0, 0, 0], + [0, 0, 0, ..., 0, 0, 0], + ..., + [0, 0, 0, ..., 0, 0, 0], + [0, 0, 0, ..., 0, 0, 0]], dtype=uint8), + }, + ] + """ + image_size = image.shape[:2] + image_b64 = convert_to_b64(Image.fromarray(image)) + request_data = { + "prompt": prompt, + "image": image_b64, + "tool": "visual_grounding_segment", + "kwargs": {"box_threshold": box_threshold, "iou_threshold": iou_threshold}, + } + data: Dict[str, Any] = _send_inference_request(request_data, "tools") + return_data = [] + for i in range(len(data["bboxes"])): + return_data.append( + { + "score": round(data["scores"][i], 2), + "label": data["labels"][i], + "bbox": normalize_bbox(data["bboxes"][i], image_size), + "mask": rle_decode(mask_rle=data["masks"][i], shape=data["mask_shape"]), + } + ) + return return_data + + def load_image(image_path: str) -> np.ndarray: """'load_image' is a utility function that loads an image from the given path. @@ -120,18 +186,22 @@ def save_image(image: np.ndarray) -> str: def display_bounding_boxes( image: np.ndarray, bboxes: List[Dict[str, Any]] ) -> np.ndarray: - """'display_bounding_boxes' is a utility function that displays bounding boxes on an image. + """'display_bounding_boxes' is a utility function that displays bounding boxes on + an image. Parameters: image (np.ndarray): The image to display the bounding boxes on. - bboxes (List[Dict[str, Any]]): A list of dictionaries containing the bounding boxes. + bboxes (List[Dict[str, Any]]): A list of dictionaries containing the bounding + boxes. Returns: - np.ndarray: The image with the bounding boxes displayed. + np.ndarray: The image with the bounding boxes, labels and scores displayed. Example ------- - >>> image_with_bboxes = display_bounding_boxes(image, [{'score': 0.99, 'label': 'dinosaur', 'bbox': [0.1, 0.11, 0.35, 0.4]}]) + >>> image_with_bboxes = display_bounding_boxes( + image, [{'score': 0.99, 'label': 'dinosaur', 'bbox': [0.1, 0.11, 0.35, 0.4]}], + ) """ pil_image = Image.fromarray(image.astype(np.uint8)) @@ -167,15 +237,84 @@ def display_bounding_boxes( return np.array(pil_image.convert("RGB")) +def display_segmentation_masks( + image: np.ndarray, masks: List[Dict[str, Any]] +) -> np.ndarray: + """'display_segmentation_masks' is a utility function that displays segmentation + masks. + + Parameters: + image (np.ndarray): The image to display the masks on. + masks (List[Dict[str, Any]]): A list of dictionaries containing the masks. + + Returns: + np.ndarray: The image with the masks displayed. + + Example + ------- + >>> image_with_masks = display_segmentation_masks( + image, + [{ + 'score': 0.99, + 'label': 'dinosaur', + 'mask': array([[0, 0, 0, ..., 0, 0, 0], + [0, 0, 0, ..., 0, 0, 0], + ..., + [0, 0, 0, ..., 0, 0, 0], + [0, 0, 0, ..., 0, 0, 0]], dtype=uint8), + }], + ) + """ + pil_image = Image.fromarray(image.astype(np.uint8)).convert("RGBA") + + color = { + label: COLORS[i % len(COLORS)] + for i, label in enumerate(set([mask["label"] for mask in masks])) + } + + for elt in masks: + mask = elt["mask"] + label = elt["label"] + np_mask = np.zeros((pil_image.size[1], pil_image.size[0], 4)) + np_mask[mask > 0, :] = color[label] + (255 * 0.5,) + mask_img = Image.fromarray(np_mask.astype(np.uint8)) + pil_image = Image.alpha_composite(pil_image, mask_img) + return np.array(pil_image.convert("RGB")) + + def get_tool_documentation(funcs: List[Callable]) -> str: docstrings = "" for func in funcs: - docstrings += f"{func.__name__}: {inspect.signature(func)}\n{func.__doc__}\n\n" + docstrings += f"{func.__name__}{inspect.signature(func)}:\n{func.__doc__}\n\n" return docstrings -TOOLS_DOCSTRING = get_tool_documentation([load_image, grounding_dino]) +def get_tool_descriptions(funcs: List[Callable]) -> str: + descriptions = "" + for func in funcs: + description = func.__doc__ + if description is None: + description = "" + + description = ( + description[: description.find("Parameters")].replace("\n", " ").strip() + ) + description = " ".join(description.split()) + descriptions += f"- {func.__name__}{inspect.signature(func)}: {description}\n" + return descriptions + + +TOOLS = [ + load_image, + grounding_dino, + grounding_sam, + save_image, + display_bounding_boxes, + display_segmentation_masks, +] +TOOLS_DOCSTRING = get_tool_documentation(TOOLS) +TOOL_DESCRIPTIONS = get_tool_descriptions(TOOLS) UTILITIES_DOCSTRING = get_tool_documentation( [load_image, save_image, display_bounding_boxes] ) From 9d9bff52cfb2135a5101293ceb63a08618b5faef Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 09:17:49 -0700 Subject: [PATCH 08/24] added similarity lookup --- vision_agent/utils/__init__.py | 2 ++ vision_agent/utils/sim.py | 45 ++++++++++++++++++++++++++++++++++ 2 files changed, 47 insertions(+) create mode 100644 vision_agent/utils/__init__.py create mode 100644 vision_agent/utils/sim.py diff --git a/vision_agent/utils/__init__.py b/vision_agent/utils/__init__.py new file mode 100644 index 00000000..a05a4507 --- /dev/null +++ b/vision_agent/utils/__init__.py @@ -0,0 +1,2 @@ +from .execute import Execute +from .sim import Sim diff --git a/vision_agent/utils/sim.py b/vision_agent/utils/sim.py new file mode 100644 index 00000000..2f404150 --- /dev/null +++ b/vision_agent/utils/sim.py @@ -0,0 +1,45 @@ +from pathlib import Path +from typing import List, Optional, Sequence, Union, Dict + +import pandas as pd +from openai import Client +from scipy.spatial.distance import cosine + +client = Client() + + +def get_embedding(text: str, model: str = "text-embedding-3-small") -> List[float]: + text = text.replace("\n", " ") + return client.embeddings.create(input=[text], model=model).data[0].embedding + + +class Sim: + def __init__( + self, + df: pd.DataFrame, + key: Optional[str] = None, + model: str = "text-embedding-3-small", + ) -> None: + self.df = df + self.model = model + if "embs" not in df.columns and key is None: + raise ValueError("key is required if no column 'embs' is present.") + + if key is not None: + self.df["embs"] = self.df[key].apply( + lambda x: get_embedding(x, model=self.model) + ) + + def save(self, sim_file: Union[str, Path]) -> None: + self.df.to_csv(sim_file, index=False) + + def top_k(self, query: str, k: int = 5) -> Sequence[Dict]: + embedding = get_embedding(query, model=self.model) + self.df["sim"] = self.df.embs.apply(lambda x: 1 - cosine(x, embedding)) + res = self.df.sort_values("sim", ascending=False).head(k) + return res[[c for c in res.columsn if c != "embs"]].to_dict(orient="records") + + +def load_sim(sim_file: Union[str, Path]) -> Sim: + df = pd.read_csv(sim_file) + return Sim(df) From ed9a9d38c6af6622ed56dbd06aa23b41f510bdc0 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 19:14:28 -0700 Subject: [PATCH 09/24] removed old execute code --- vision_agent/agent/agent_coder.py | 32 ++- vision_agent/agent/execution.py | 287 ------------------------- vision_agent/{tools => utils}/video.py | 0 3 files changed, 27 insertions(+), 292 deletions(-) delete mode 100644 vision_agent/agent/execution.py rename vision_agent/{tools => utils}/video.py (100%) diff --git a/vision_agent/agent/agent_coder.py b/vision_agent/agent/agent_coder.py index 89216f73..d1a74f4c 100644 --- a/vision_agent/agent/agent_coder.py +++ b/vision_agent/agent/agent_coder.py @@ -8,13 +8,34 @@ from vision_agent.agent import Agent from vision_agent.llm import LLM, OpenAILLM from vision_agent.lmm import LMM, OpenAILMM -from vision_agent.tools.tools_v2 import TOOLS_DOCSTRING, UTILITIES_DOCSTRING +from vision_agent.tools.tools_v2 import TOOL_DOCSTRING, UTILITIES_DOCSTRING +from vision_agent.utils import Execute from .agent_coder_prompts import DEBUG, FIX_BUG, PROGRAM, TEST, VISUAL_TEST -from .execution import IMPORT_HELPER, check_correctness + +IMPORT_HELPER = """ +import math +import re +import sys +import copy +import datetime +import itertools +import collections +import heapq +import statistics +import functools +import hashlib +import numpy +import numpy as np +import string +from typing import * +from collections import * +from vision_agent.tools.tools_v2 import * +""" logging.basicConfig(stream=sys.stdout) _LOGGER = logging.getLogger(__name__) +_EXECUTE = Execute() def write_tests(question: str, code: str, model: LLM) -> str: @@ -40,7 +61,7 @@ def parse_file_name(s: str) -> str: def write_program(question: str, feedback: str, model: LLM) -> str: prompt = PROGRAM.format( - docstring=TOOLS_DOCSTRING, question=question, feedback=feedback + docstring=TOOL_DOCSTRING, question=question, feedback=feedback ) completion = model(prompt) return preprocess_data(completion) @@ -59,14 +80,15 @@ 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}" - return check_correctness(full_code, 20.0) + success, result = _EXECUTE.run_isolation(full_code) + return {"code": code, "result": result, "passed": success} def run_visual_tests( question: str, code: str, viz_file: str, feedback: str, model: LMM ) -> Dict[str, Union[str, bool]]: prompt = VISUAL_TEST.format( - docstring=TOOLS_DOCSTRING, + docstring=TOOL_DOCSTRING, code=code, question=question, feedback=feedback, diff --git a/vision_agent/agent/execution.py b/vision_agent/agent/execution.py deleted file mode 100644 index 5e1996b2..00000000 --- a/vision_agent/agent/execution.py +++ /dev/null @@ -1,287 +0,0 @@ -"""This code is based off of code from CodeGeeX https://github.com/THUDM/CodeGeeX""" - -import contextlib -import faulthandler -import io -import multiprocessing -import os -import platform -import signal -import tempfile -import traceback -import typing -from pathlib import Path -from typing import Dict, Generator, List, Optional, Union - -IMPORT_HELPER = """ -import math -import re -import sys -import copy -import datetime -import itertools -import collections -import heapq -import statistics -import functools -import hashlib -import numpy -import numpy as np -import string -from typing import * -from collections import * -from vision_agent.tools.tools_v2 import * -""" - - -def unsafe_execute(code: str, timeout: float, result: List) -> None: - with create_tempdir() as dir: - code_path = Path(dir) / "code.py" - with open(code_path, "w") as f: - f.write(code) - - # These system calls are needed when cleaning up tempdir. - import os - import shutil - - rmtree = shutil.rmtree - rmdir = os.rmdir - chdir = os.chdir - - # Disable functionalities that can make destructive changes to the test. - reliability_guard() - - try: - with swallow_io() as s: - with time_limit(timeout): - # WARNING - # This program exists to execute untrusted model-generated code. Although - # it is highly unlikely that model-generated code will do something overtly - # malicious in response to this test suite, model-generated code may act - # destructively due to a lack of model capability or alignment. - # Users are strongly encouraged to sandbox this evaluation suite so that it - # does not perform destructive actions on their host or network. - # Once you have read this disclaimer and taken appropriate precautions, - # uncomment the following line and proceed at your own risk: - code = compile(code, code_path, "exec") # type: ignore - exec(code) - result.append({"output": s.getvalue(), "passed": True}) - except TimeoutError: - result.append({"output": "Timed out", "passed": False}) - except AssertionError: - result.append({"output": f"{traceback.format_exc()}", "passed": False}) - except BaseException: - result.append({"output": f"{traceback.format_exc()}", "passed": False}) - - # Needed for cleaning up. - shutil.rmtree = rmtree - os.rmdir = rmdir - os.chdir = chdir - - code_path.unlink() - - -def check_correctness( - code: str, - timeout: float = 3.0, -) -> Dict[str, Union[str, bool]]: - """Evaluates the functional correctness of a completion by running the test suite - provided in the problem. - """ - - manager = multiprocessing.Manager() - result = manager.list() - - # p = multiprocessing.Process(target=unsafe_execute, args=(tmp_dir,)) - p = multiprocessing.Process(target=unsafe_execute, args=(code, timeout, result)) - p.start() - p.join(timeout=timeout + 1) - if p.is_alive(): - p.kill() - - if not result: - result.append("timed out") - - return { - "code": code, - "result": result[0]["output"], - "passed": result[0]["passed"], - } - - -# Copyright (c) OpenAI (https://openai.com) - -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the "Software"), to deal -# in the Software without restriction, including without limitation the rights -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -# copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: - -# The above copyright notice and this permission notice shall be included in -# all copies or substantial portions of the Software. - -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -# THE SOFTWARE. -# ============================================================================ - - -class redirect_stdin(contextlib._RedirectStream): - _stream = "stdin" - - -@contextlib.contextmanager -def chdir(root: str) -> Generator[None, None, None]: - if root == ".": - yield - return - cwd = os.getcwd() - os.chdir(root) - try: - yield - except BaseException as exc: - raise exc - finally: - os.chdir(cwd) - - -class WriteOnlyStringIO(io.StringIO): - """StringIO that throws an exception when it's read from""" - - def read(self, *args, **kwargs): # type: ignore - raise IOError - - def readline(self, *args, **kwargs): # type: ignore - raise IOError - - def readlines(self, *args, **kwargs): # type: ignore - raise IOError - - def readable(self, *args, **kwargs): # type: ignore - """Returns True if the IO object can be read.""" - return False - - -@contextlib.contextmanager -def create_tempdir() -> Generator[str, None, None]: - with tempfile.TemporaryDirectory() as dirname: - with chdir(dirname): - yield dirname - - -@contextlib.contextmanager -def swallow_io() -> Generator[WriteOnlyStringIO, None, None]: - stream = WriteOnlyStringIO() - with contextlib.redirect_stdout(stream): - with contextlib.redirect_stderr(stream): - with redirect_stdin(stream): - yield stream - - -@typing.no_type_check -@contextlib.contextmanager -def time_limit(seconds: float) -> Generator[None, None, None]: - def signal_handler(signum, frame): - raise TimeoutError("Timed out!") - - if platform.uname().system != "Windows": - signal.setitimer(signal.ITIMER_REAL, seconds) - signal.signal(signal.SIGALRM, signal_handler) - try: - yield - finally: - signal.setitimer(signal.ITIMER_REAL, 0) - - -@typing.no_type_check -def reliability_guard(maximum_memory_bytes: Optional[int] = None) -> None: - """ - This disables various destructive functions and prevents the generated code - from interfering with the test (e.g. fork bomb, killing other processes, - removing filesystem files, etc.) - - WARNING - This function is NOT a security sandbox. Untrusted code, including, model- - generated code, should not be blindly executed outside of one. See the - Codex paper for more information about OpenAI's code sandbox, and proceed - with caution. - """ - - if maximum_memory_bytes is not None: - if platform.uname().system != "Windows": - import resource - - resource.setrlimit( - resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes) - ) - resource.setrlimit( - resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes) - ) - if not platform.uname().system == "Darwin": - resource.setrlimit( - resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes) - ) - - faulthandler.disable() - - import builtins - - builtins.exit = None - builtins.quit = None - - import os - - os.environ["OMP_NUM_THREADS"] = "1" - - os.kill = None - os.system = None - # os.putenv = None # this causes numpy to fail on import - os.remove = None - os.removedirs = None - os.rmdir = None - os.fchdir = None - os.setuid = None - os.fork = None - os.forkpty = None - os.killpg = None - os.rename = None - os.renames = None - os.truncate = None - os.replace = None - os.unlink = None - os.fchmod = None - os.fchown = None - os.chmod = None - os.chown = None - os.chroot = None - os.fchdir = None - os.lchflags = None - os.lchmod = None - os.lchown = None - os.getcwd = None - os.chdir = None - - import shutil - - shutil.rmtree = None - shutil.move = None - shutil.chown = None - - import subprocess - - subprocess.Popen = None # type: ignore - - __builtins__["help"] = None - - import sys - - sys.modules["ipdb"] = None - sys.modules["joblib"] = None - sys.modules["resource"] = None - sys.modules["psutil"] = None - sys.modules["tkinter"] = None diff --git a/vision_agent/tools/video.py b/vision_agent/utils/video.py similarity index 100% rename from vision_agent/tools/video.py rename to vision_agent/utils/video.py From 1604a16897fb27767e13560a65971a23bb74a080 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:25:40 -0700 Subject: [PATCH 10/24] added image viz --- vision_agent/utils/execute.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/vision_agent/utils/execute.py b/vision_agent/utils/execute.py index ccc0b876..cf162f29 100644 --- a/vision_agent/utils/execute.py +++ b/vision_agent/utils/execute.py @@ -1,3 +1,5 @@ +import base64 as b64 +import io import re from typing import Dict, List, Tuple @@ -7,6 +9,7 @@ from nbclient.util import run_sync from nbformat import NotebookNode from nbformat.v4 import new_code_cell +from PIL import Image def remove_escape_and_color_codes(input_str: str) -> str: @@ -18,10 +21,15 @@ def remove_escape_and_color_codes(input_str: str) -> str: 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"])) From 75dd139ef71c39e0186e4b21fe4887ba4ad2091c Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:27:19 -0700 Subject: [PATCH 11/24] added utils module --- vision_agent/agent/vision_agent.py | 5 +- vision_agent/tools/tool_utils.py | 2 +- vision_agent/tools/tools.py | 4 +- vision_agent/tools/tools_v2.py | 117 +++++++++++++++++++++++- vision_agent/utils/__init__.py | 1 + vision_agent/{ => utils}/image_utils.py | 0 vision_agent/{ => utils}/type_defs.py | 0 7 files changed, 120 insertions(+), 9 deletions(-) rename vision_agent/{ => utils}/image_utils.py (100%) rename vision_agent/{ => utils}/type_defs.py (100%) diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py index 9e5099de..2894601d 100644 --- a/vision_agent/agent/vision_agent.py +++ b/vision_agent/agent/vision_agent.py @@ -8,7 +8,7 @@ from PIL import Image from tabulate import tabulate -from vision_agent.image_utils import ( +from vision_agent.utils.image_utils import ( convert_to_b64, overlay_bboxes, overlay_heat_map, @@ -561,6 +561,9 @@ def chat_with_workflow( list of all the tool results. The last item in the tool results also contains the visualized output. """ + if len(chat) == 0: + raise ValueError("Input cannot be empty.") + question = chat[0]["content"] if image: question += f" Image name: {image}" diff --git a/vision_agent/tools/tool_utils.py b/vision_agent/tools/tool_utils.py index 3f66b539..480a7493 100644 --- a/vision_agent/tools/tool_utils.py +++ b/vision_agent/tools/tool_utils.py @@ -3,7 +3,7 @@ import requests -from vision_agent.type_defs import LandingaiAPIKey +from vision_agent.utils.type_defs import LandingaiAPIKey _LOGGER = logging.getLogger(__name__) _LND_API_KEY = LandingaiAPIKey().api_key diff --git a/vision_agent/tools/tools.py b/vision_agent/tools/tools.py index 59d37713..83e52443 100644 --- a/vision_agent/tools/tools.py +++ b/vision_agent/tools/tools.py @@ -11,7 +11,7 @@ from PIL.Image import Image as ImageType from scipy.spatial import distance # type: ignore -from vision_agent.image_utils import ( +from vision_agent.utils.image_utils import ( b64_to_pil, convert_to_b64, denormalize_bbox, @@ -21,7 +21,7 @@ ) from vision_agent.lmm import OpenAILMM from vision_agent.tools.tool_utils import _send_inference_request -from vision_agent.tools.video import extract_frames_from_video +from vision_agent.utils import extract_frames_from_video _LOGGER = logging.getLogger(__name__) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 12c308fc..87761c57 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -1,13 +1,18 @@ import inspect +import io import tempfile from importlib import resources -from typing import Any, Callable, Dict, List +from pathlib import Path +from typing import Any, Callable, Dict, List, Union, Tuple import numpy as np +import pandas as pd +import requests from PIL import Image, ImageDraw, ImageFont -from vision_agent.image_utils import convert_to_b64, normalize_bbox, rle_decode +from vision_agent.utils.image_utils import convert_to_b64, normalize_bbox, rle_decode from vision_agent.tools.tool_utils import _send_inference_request +from vision_agent.utils import extract_frames_from_video COLORS = [ (158, 218, 229), @@ -31,6 +36,8 @@ (255, 127, 14), (31, 119, 180), ] +_API_KEY = "land_sk_WVYwP00xA3iXely2vuar6YUDZ3MJT9yLX6oW5noUkwICzYLiDV" +_OCR_URL = "https://app.landing.ai/ocr/v1/detect-text" def grounding_dino( @@ -144,6 +151,86 @@ def grounding_sam( return return_data +def extract_frames( + video_uri: Union[str, Path], fps: float = 0.5 +) -> List[Tuple[np.ndarray, float]]: + """'extract_frames' extracts frames from a video, returns a list of tuples (frame, + timestamp), where timestamp is the relative time in seconds where the frame was + captured. The frame is a local image file path. + + Parameters: + video_uri (Union[str, Path]): The path to the video file. + fps (float, optional): The frame rate per second to extract the frames. Defaults + to 0.5. + + Returns: + List[Tuple[np.ndarray, float]]: A list of tuples containing the extracted frame + and the timestamp in seconds. + + Example + ------- + >>> extract_frames("path/to/video.mp4") + [(frame1, 0.0), (frame2, 0.5), ...] + """ + + return extract_frames_from_video(str(video_uri), fps) + + +def ocr(image: np.ndarray) -> List[Dict[str, Any]]: + """'ocr' extracts text from an image. It returns a list of detected text, bounding + boxes, and confidence scores. + + Parameters: + image (np.ndarray): The image to extract text from. + + Returns: + List[Dict[str, Any]]: A list of dictionaries containing the detected text, bbox, + and confidence score. + + Example + ------- + >>> ocr(image) + [ + {'label': 'some text', 'bbox': [0.1, 0.11, 0.35, 0.4], 'score': 0.99}, + ] + """ + + pil_image = Image.fromarray(image).convert("RGB") + image_size = pil_image.size[::-1] + image_buffer = io.BytesIO() + pil_image.save(image_buffer, format="PNG") + buffer_bytes = image_buffer.getvalue() + image_buffer.close() + + res = requests.post( + _OCR_URL, + files={"images": buffer_bytes}, + data={"language": "en"}, + headers={"contentType": "multipart/form-data", "apikey": _API_KEY}, + ) + + if res.status_code != 200: + raise ValueError(f"OCR request failed with status code {res.status_code}") + + data = res.json() + output = [] + for det in data[0]: + label = det["text"] + box = [ + det["location"][0]["x"], + det["location"][0]["y"], + det["location"][2]["x"], + det["location"][2]["y"], + ] + box = normalize_bbox(box, image_size) + output.append({"label": label, "bbox": box, "score": round(det["score"], 2)}) + + return output + + +# Utility and visualization functions + + def load_image(image_path: str) -> np.ndarray: """'load_image' is a utility function that loads an image from the given path. @@ -298,23 +385,43 @@ def get_tool_descriptions(funcs: List[Callable]) -> str: description = "" description = ( - description[: description.find("Parameters")].replace("\n", " ").strip() + description[: description.find("Parameters:")].replace("\n", " ").strip() ) description = " ".join(description.split()) descriptions += f"- {func.__name__}{inspect.signature(func)}: {description}\n" return descriptions +def get_tools_df(funcs: List[Callable]) -> pd.DataFrame: + data = {"desc": [], "doc": []} + + for func in funcs: + desc = func.__doc__ + if desc is None: + desc = "" + desc = desc[: desc.find("Parameters:")].replace("\n", " ").strip() + desc = " ".join(desc.split()) + + doc = f"{func.__name__}{inspect.signature(func)}:\n{func.__doc__}" + data["desc"].append(desc) + data["doc"].append(doc) + + return pd.DataFrame(data) + + TOOLS = [ - load_image, grounding_dino, grounding_sam, + extract_frames, + ocr, + load_image, save_image, display_bounding_boxes, display_segmentation_masks, ] -TOOLS_DOCSTRING = get_tool_documentation(TOOLS) +TOOLS_DF = get_tools_df(TOOLS) TOOL_DESCRIPTIONS = get_tool_descriptions(TOOLS) +TOOL_DOCSTRING = get_tool_documentation(TOOLS) UTILITIES_DOCSTRING = get_tool_documentation( [load_image, save_image, display_bounding_boxes] ) diff --git a/vision_agent/utils/__init__.py b/vision_agent/utils/__init__.py index a05a4507..11dc0d42 100644 --- a/vision_agent/utils/__init__.py +++ b/vision_agent/utils/__init__.py @@ -1,2 +1,3 @@ from .execute import Execute from .sim import Sim +from .video import extract_frames_from_video diff --git a/vision_agent/image_utils.py b/vision_agent/utils/image_utils.py similarity index 100% rename from vision_agent/image_utils.py rename to vision_agent/utils/image_utils.py diff --git a/vision_agent/type_defs.py b/vision_agent/utils/type_defs.py similarity index 100% rename from vision_agent/type_defs.py rename to vision_agent/utils/type_defs.py From 91dbacfe792b19886474c3ebfcd10c78f39dbd0a Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:27:44 -0700 Subject: [PATCH 12/24] fixed sim issue --- vision_agent/agent/__init__.py | 1 + vision_agent/utils/sim.py | 29 ++++++++++++++++++++++++----- 2 files changed, 25 insertions(+), 5 deletions(-) diff --git a/vision_agent/agent/__init__.py b/vision_agent/agent/__init__.py index b90cbb16..a7137f69 100644 --- a/vision_agent/agent/__init__.py +++ b/vision_agent/agent/__init__.py @@ -3,3 +3,4 @@ from .easytool import EasyTool from .reflexion import Reflexion from .vision_agent import VisionAgent +from .automated_vision_agent import AutomatedVisionAgent diff --git a/vision_agent/utils/sim.py b/vision_agent/utils/sim.py index 2f404150..4eda3aaf 100644 --- a/vision_agent/utils/sim.py +++ b/vision_agent/utils/sim.py @@ -17,16 +17,25 @@ class Sim: def __init__( self, df: pd.DataFrame, - key: Optional[str] = None, + sim_key: Optional[str] = None, model: str = "text-embedding-3-small", ) -> None: + """Creates a similarity object that can be used to find similar items in a + dataframe. + + Parameters: + df: pd.DataFrame: The dataframe to use for similarity. + sim_key: Optional[str]: The column name that you want to use to construct + the embeddings. + model: str: The model to use for embeddings. + """ self.df = df self.model = model - if "embs" not in df.columns and key is None: + if "embs" not in df.columns and sim_key is None: raise ValueError("key is required if no column 'embs' is present.") - if key is not None: - self.df["embs"] = self.df[key].apply( + if sim_key is not None: + self.df["embs"] = self.df[sim_key].apply( lambda x: get_embedding(x, model=self.model) ) @@ -34,10 +43,20 @@ def save(self, sim_file: Union[str, Path]) -> None: self.df.to_csv(sim_file, index=False) def top_k(self, query: str, k: int = 5) -> Sequence[Dict]: + """Returns the top k most similar items to the query. + + Parameters: + query: str: The query to compare to. + k: int: The number of items to return. + + Returns: + Sequence[Dict]: The top k most similar items. + """ + embedding = get_embedding(query, model=self.model) self.df["sim"] = self.df.embs.apply(lambda x: 1 - cosine(x, embedding)) res = self.df.sort_values("sim", ascending=False).head(k) - return res[[c for c in res.columsn if c != "embs"]].to_dict(orient="records") + return res[[c for c in res.columns if c != "embs"]].to_dict(orient="records") def load_sim(sim_file: Union[str, Path]) -> Sim: From 2c3fa2e7519aacc4e530e24bed14fee5bd203590 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:28:06 -0700 Subject: [PATCH 13/24] add AVA --- vision_agent/agent/automated_vision_agent.py | 265 ++++++++++++++++++ .../agent/automated_vision_agent_prompt.py | 170 +++++++++++ 2 files changed, 435 insertions(+) create mode 100644 vision_agent/agent/automated_vision_agent.py create mode 100644 vision_agent/agent/automated_vision_agent_prompt.py diff --git a/vision_agent/agent/automated_vision_agent.py b/vision_agent/agent/automated_vision_agent.py new file mode 100644 index 00000000..39a2c286 --- /dev/null +++ b/vision_agent/agent/automated_vision_agent.py @@ -0,0 +1,265 @@ +import json +import logging +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +from rich.console import Console +from rich.syntax import Syntax +from tabulate import tabulate + +from vision_agent.agent import Agent +from vision_agent.llm import LLM, OpenAILLM +from vision_agent.tools.tools_v2 import TOOL_DESCRIPTIONS, TOOLS_DF +from vision_agent.utils import Execute, Sim + +from .automated_vision_agent_prompt import ( + CODE, + CODE_SYS_MSG, + DEBUG, + DEBUG_EXAMPLE, + DEBUG_SYS_MSG, + PLAN, + PREV_CODE_CONTEXT, + PREV_CODE_CONTEXT_WITH_REFLECTION, + TEST, + USER_REQ_CONTEXT, + USER_REQ_SUBTASK_CONTEXT, +) + +logging.basicConfig(level=logging.INFO) +_LOGGER = logging.getLogger(__name__) +_MAX_TABULATE_COL_WIDTH = 80 +_CONSOLE = Console() + + +def extract_code(code: str) -> str: + if "```python" in code: + code = code[code.find("```python") + len("```python") :] + code = code[: code.find("```")] + return code + + +def write_plan( + user_requirements: str, tool_desc: str, model: LLM +) -> List[Dict[str, Any]]: + context = USER_REQ_CONTEXT.format(user_requirement=user_requirements) + prompt = PLAN.format(context=context, plan="", tool_desc=tool_desc) + plan = json.loads(model(prompt).replace("```", "").strip()) + return plan["plan"] + + +def write_code(user_req: str, subtask: str, tool_info: str, code: str, model: LLM) -> str: + prompt = CODE.format( + context=USER_REQ_SUBTASK_CONTEXT.format(user_requirement=user_req, subtask=subtask), + tool_info=tool_info, + code=code, + ) + messages = [ + {"role": "system", "content": CODE_SYS_MSG}, + {"role": "user", "content": prompt}, + ] + code = model.chat(messages) + return extract_code(code) + + +def write_test(user_req: str, subtask: str, tool_info: str, code: str, model: LLM) -> str: + prompt = TEST.format( + context=USER_REQ_SUBTASK_CONTEXT.format(user_requirement=user_req, subtask=subtask), + tool_info=tool_info, + code=code, + ) + messages = [ + {"role": "system", "content": CODE_SYS_MSG}, + {"role": "user", "content": prompt}, + ] + code = model.chat(messages) + return extract_code(code) + + +def debug_code(sub_task: str, working_memory: List[str], model: LLM) -> Tuple[str, str]: + # Make debug model output JSON + if hasattr(model, "kwargs"): + model.kwargs["response_format"] = {"type": "json_object"} + prompt = DEBUG.format( + debug_example=DEBUG_EXAMPLE, + context=USER_REQ_CONTEXT.format(user_requirement=sub_task), + previous_impl="\n".join(working_memory), + ) + messages = [ + {"role": "system", "content": DEBUG_SYS_MSG}, + {"role": "user", "content": prompt}, + ] + code_and_ref = json.loads(model.chat(messages).replace("```", "").strip()) + if hasattr(model, "kwargs"): + del model.kwargs["response_format"] + return extract_code(code_and_ref["improved_impl"]), code_and_ref["reflection"] + + +def write_and_exec_code( + user_req: str, + subtask: str, + orig_code: str, + code_writer_call: Callable, + model: LLM, + tool_info: str, + exec: Execute, + max_retry: int = 3, + verbose: bool = False, +) -> Tuple[bool, str, str, Dict[str, List[str]]]: + success = False + counter = 0 + reflection = "" + + # TODO: add working memory to code_writer_call and debug_code + code = code_writer_call(user_req, subtask, tool_info, orig_code, model) + success, result = exec.run_isolation(code) + working_memory: Dict[str, List[str]] = {} + while not success and counter < max_retry: + if subtask not in working_memory: + working_memory[subtask] = [] + + if reflection: + working_memory[subtask].append( + PREV_CODE_CONTEXT_WITH_REFLECTION.format( + code=code, result=result, reflection=reflection + ) + ) + else: + working_memory[subtask].append( + PREV_CODE_CONTEXT.format(code=code, result=result) + ) + + code, reflection = debug_code(subtask, working_memory[subtask], model) + success, result = exec.run_isolation(code) + counter += 1 + if verbose: + _CONSOLE.print( + Syntax(code, "python", theme="gruvbox-dark", line_numbers=True) + ) + _LOGGER.info(f"\tDebugging reflection, result: {reflection}, {result}") + + if success: + working_memory[subtask].append( + PREV_CODE_CONTEXT_WITH_REFLECTION.format( + code=code, result=result, reflection=reflection + ) + ) + + return success, code, result, working_memory + + +def run_plan( + user_req: str, + plan: List[Dict[str, Any]], + coder: LLM, + exec: Execute, + code: str, + tool_recommender: Sim, + verbose: bool = False, +) -> Tuple[str, List[Dict[str, Any]]]: + active_plan = [e for e in plan if "success" not in e or not e["success"]] + working_memory: Dict[str, List[str]] = {} + for task in active_plan: + _LOGGER.info( + f""" +{tabulate(tabular_data=[task], headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}""" + ) + tool_info = "\n".join([e["doc"] for e in tool_recommender.top_k(task["instruction"])]) + success, code, result, task_memory = write_and_exec_code( + user_req, + task["instruction"], + code, + write_code if task["type"] == "code" else write_test, + coder, + tool_info, + exec, + verbose, + ) + working_memory.update(task_memory) + + if verbose: + _CONSOLE.print( + Syntax(code, "python", theme="gruvbox-dark", line_numbers=True) + ) + _LOGGER.info(f"\tCode success, result: {success}, {str(result)}") + + task["success"] = success + task["result"] = result + task["code"] = code + + if not success: + break + + return code, plan + + +class AutomatedVisionAgent(Agent): + def __init__( + self, + timeout: int = 600, + tool_recommender: Optional[Sim] = None, + verbose: bool = False, + ) -> None: + self.planner = OpenAILLM(temperature=0.1, json_mode=True) + self.coder = OpenAILLM(temperature=0.1) + self.exec = Execute(timeout=timeout) + if tool_recommender is None: + self.tool_recommender = Sim(TOOLS_DF, sim_key="desc") + else: + self.tool_recommender = tool_recommender + self.long_term_memory = [] + self.verbose = verbose + if self.verbose: + _LOGGER.setLevel(logging.INFO) + + def __call__( + self, + input: Union[List[Dict[str, str]], str], + image: Optional[Union[str, Path]] = None, + ) -> str: + if isinstance(input, str): + input = [{"role": "user", "content": input}] + return self.chat(input, image) + + def chat( + self, + chat: List[Dict[str, str]], + image: Optional[Union[str, Path]] = None, + ) -> str: + if len(chat) == 0: + raise ValueError("Input cannot be empty.") + + user_req = chat[0]["content"] + if image is not None: + user_req += f" Image name {image}" + + plan = write_plan(user_req, TOOL_DESCRIPTIONS, self.planner) + _LOGGER.info( + f"""Plan: +{tabulate(tabular_data=plan, headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}""" + ) + working_memory: Dict[str, List[str]] = {} + + working_code = "" + working_test = "" + success = False + + while not success: + working_code, plan = run_plan( + user_req, + plan, + self.coder, + self.exec, + working_code, + self.tool_recommender, + self.verbose, + ) + success = all(task["success"] for task in plan) + + if not success: + pass + + return working_code + + def log_progress(self, description: str) -> None: + pass diff --git a/vision_agent/agent/automated_vision_agent_prompt.py b/vision_agent/agent/automated_vision_agent_prompt.py new file mode 100644 index 00000000..7d8bffdc --- /dev/null +++ b/vision_agent/agent/automated_vision_agent_prompt.py @@ -0,0 +1,170 @@ +USER_REQ_SUBTASK_CONTEXT = """ +## User Requirement +{user_requirement} + +## Current Subtask +{subtask} +""" + +USER_REQ_CONTEXT = """ +## User Requirement +{user_requirement} +""" + + +PLAN = """ +# Context +{context} + +# Current Plan +{plan} + +# Tools Available +{tool_desc} + +# Task: +Based on the context and the tools you have available, write a plan of subtasks to achieve the user request that adhere to the following requirements: +- For each subtask, you should provide a short instruction on what to do. Ensure the subtasks are large enough to be meaningful, encompassing multiple lines of code. +- You do not need to have the agent rewrite any tool functionality you already have, you should instead instruct it to utilize one or more of those tools in each subtask. +- You can have agents either write coding tasks, to code some functionality or testing tasks to test previous functionality. + +Output a list of jsons in the following format: + +```json +{{ + "plan": + [ + {{ + "task_id": int, # "unique identifier for a task in plan, can be an ordinal" + "dependent_task_ids": list[int], # "ids of tasks prerequisite to this task" + "instruction": str, # "what you should do in this task, one short phrase or sentence" + "type": str, # "the type of the task, tasks can either be 'code' for coding tasks or 'test' for testing tasks" + }}, + ... + ] +}} +``` +""" + + +CODE_SYS_MSG = """You are an AI Python assistant. You need to help user to achieve their goal by implementing a function. Your code will be run in a jupyter notebook environment so don't use asyncio.run. Instead, use await if you need to call an async function. Do not use 'display' for showing images.""" + + +CODE = """ +# Context +{context} + +# Tool Info for Current Subtask +{tool_info} + +# Previous Code +{code} + +# Constraints +- Write a function that accomplishes the User Requirement. You are supplied code from a previous task, feel free to copy over that code into your own implementation if you need it. +- Always prioritize using pre-defined tools or code for the same functionality. You have access to all these tools through the `from vision_agent.tools.tools_v2 import *` import. +- Write clean, readable, and well-documented code. + +# Output +While some concise thoughts are helpful, code is absolutely required. If possible, execute your defined functions in the code output. Output code in the following format: +```python +from vision_agent.tools.tools_v2 imoprt * + +# your code goes here +``` +""" + + +DEBUG_SYS_MSG = """You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Your code will be run in a jupyter notebook environment. Write your full implementation.""" + + +DEBUG_EXAMPLE = ''' +[previous impl]: +```python +def add(a: int, b: int) -> int: + """Given integers a and b, return the total value of a and b.""" + return a - b +``` + +[previous output] +Tests failed: +assert add(1, 2) == 3 # output: -1 +assert add(1, 3) == 4 # output: -2 + +[reflection on previous impl]: +The implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input. + +[improved impl]: +def add(a: int, b: int) -> int: + """Given integers a and b, return the total value of a and b.""" + return a + b +''' + + +PREV_CODE_CONTEXT = """ +```python +{code} +``` + +[previous output] +{result} +""" + + +PREV_CODE_CONTEXT_WITH_REFLECTION = """ +```python +{code} +``` + +[previous output] +{result} + +[reflection on previous impl] +{reflection} +""" + + +DEBUG = """ +[example] +Here is an example of debugging with reflection. +{debug_example} +[/example] + +[context] +{context} + +[previous impl] +{previous_impl} + +[instruction] +Analyze your previous code and error in [context] step by step, provide me with improved method and code. Remember to follow [context] requirement. Because you are writing code in a jupyter notebook, you can run `!pip install` to install missing packages. Output a json following the format: +```json +{{ + "reflection": str = "Reflection on previous implementation", + "improved_impl": str = "Refined code after reflection.", +}} +``` +""" + + +TEST = """ +# Context +{context} + +# Tool Info for Current Subtask +{tool_info} + +# Code to Test +{code} + +# Constraints +- Write code to test the functionality of the provided code according to the Current Subtask. If you cannot test the code, then write code to visualize the result by calling the code. +- Always prioritize using pre-defined tools for the same functionality. +- Write clean, readable, and well-documented code. + +# Output +While some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format: +```python +your code +``` +""" From 0d763ee17aff132943a746c16e805adda2af2542 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:29:10 -0700 Subject: [PATCH 14/24] black and isort --- tests/tools/test_tools.py | 2 +- vision_agent/agent/__init__.py | 2 +- vision_agent/agent/agent_coder.py | 1 - vision_agent/agent/automated_vision_agent.py | 20 +++++++++++++++----- vision_agent/agent/vision_agent.py | 6 +++--- vision_agent/tools/__init__.py | 4 ++-- vision_agent/tools/tools.py | 6 +++--- vision_agent/tools/tools_v2.py | 4 ++-- vision_agent/utils/sim.py | 2 +- 9 files changed, 28 insertions(+), 19 deletions(-) diff --git a/tests/tools/test_tools.py b/tests/tools/test_tools.py index d350ad21..648dbea9 100644 --- a/tests/tools/test_tools.py +++ b/tests/tools/test_tools.py @@ -6,7 +6,7 @@ from PIL import Image from vision_agent.tools import TOOLS, Tool, register_tool -from vision_agent.tools.tools import BboxIoU, BoxDistance, SegArea, SegIoU, MaskDistance +from vision_agent.tools.tools import BboxIoU, BoxDistance, MaskDistance, SegArea, SegIoU def test_bbox_iou(): diff --git a/vision_agent/agent/__init__.py b/vision_agent/agent/__init__.py index a7137f69..6113b6bc 100644 --- a/vision_agent/agent/__init__.py +++ b/vision_agent/agent/__init__.py @@ -1,6 +1,6 @@ from .agent import Agent from .agent_coder import AgentCoder +from .automated_vision_agent import AutomatedVisionAgent from .easytool import EasyTool from .reflexion import Reflexion from .vision_agent import VisionAgent -from .automated_vision_agent import AutomatedVisionAgent diff --git a/vision_agent/agent/agent_coder.py b/vision_agent/agent/agent_coder.py index d1a74f4c..ac9d4762 100644 --- a/vision_agent/agent/agent_coder.py +++ b/vision_agent/agent/agent_coder.py @@ -13,7 +13,6 @@ from .agent_coder_prompts import DEBUG, FIX_BUG, PROGRAM, TEST, VISUAL_TEST - IMPORT_HELPER = """ import math import re diff --git a/vision_agent/agent/automated_vision_agent.py b/vision_agent/agent/automated_vision_agent.py index 39a2c286..12deda56 100644 --- a/vision_agent/agent/automated_vision_agent.py +++ b/vision_agent/agent/automated_vision_agent.py @@ -48,9 +48,13 @@ def write_plan( return plan["plan"] -def write_code(user_req: str, subtask: str, tool_info: str, code: str, model: LLM) -> str: +def write_code( + user_req: str, subtask: str, tool_info: str, code: str, model: LLM +) -> str: prompt = CODE.format( - context=USER_REQ_SUBTASK_CONTEXT.format(user_requirement=user_req, subtask=subtask), + context=USER_REQ_SUBTASK_CONTEXT.format( + user_requirement=user_req, subtask=subtask + ), tool_info=tool_info, code=code, ) @@ -62,9 +66,13 @@ def write_code(user_req: str, subtask: str, tool_info: str, code: str, model: LL return extract_code(code) -def write_test(user_req: str, subtask: str, tool_info: str, code: str, model: LLM) -> str: +def write_test( + user_req: str, subtask: str, tool_info: str, code: str, model: LLM +) -> str: prompt = TEST.format( - context=USER_REQ_SUBTASK_CONTEXT.format(user_requirement=user_req, subtask=subtask), + context=USER_REQ_SUBTASK_CONTEXT.format( + user_requirement=user_req, subtask=subtask + ), tool_info=tool_info, code=code, ) @@ -164,7 +172,9 @@ def run_plan( f""" {tabulate(tabular_data=[task], headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}""" ) - tool_info = "\n".join([e["doc"] for e in tool_recommender.top_k(task["instruction"])]) + tool_info = "\n".join( + [e["doc"] for e in tool_recommender.top_k(task["instruction"])] + ) success, code, result, task_memory = write_and_exec_code( user_req, task["instruction"], diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py index 2894601d..79e147ca 100644 --- a/vision_agent/agent/vision_agent.py +++ b/vision_agent/agent/vision_agent.py @@ -8,15 +8,15 @@ from PIL import Image from tabulate import tabulate +from vision_agent.llm import LLM, OpenAILLM +from vision_agent.lmm import LMM, OpenAILMM +from vision_agent.tools import TOOLS from vision_agent.utils.image_utils import ( convert_to_b64, overlay_bboxes, overlay_heat_map, overlay_masks, ) -from vision_agent.llm import LLM, OpenAILLM -from vision_agent.lmm import LMM, OpenAILMM -from vision_agent.tools import TOOLS from .agent import Agent from .easytool_prompts import ( diff --git a/vision_agent/tools/__init__.py b/vision_agent/tools/__init__.py index eb6da91a..5c713498 100644 --- a/vision_agent/tools/__init__.py +++ b/vision_agent/tools/__init__.py @@ -5,9 +5,7 @@ TOOLS, BboxArea, BboxIoU, - ObjectDistance, BoxDistance, - MaskDistance, Crop, DINOv, ExtractFrames, @@ -15,6 +13,8 @@ GroundingSAM, ImageCaption, ImageQuestionAnswering, + MaskDistance, + ObjectDistance, SegArea, SegIoU, Tool, diff --git a/vision_agent/tools/tools.py b/vision_agent/tools/tools.py index 83e52443..f61e17b8 100644 --- a/vision_agent/tools/tools.py +++ b/vision_agent/tools/tools.py @@ -11,6 +11,9 @@ from PIL.Image import Image as ImageType from scipy.spatial import distance # type: ignore +from vision_agent.lmm import OpenAILMM +from vision_agent.tools.tool_utils import _send_inference_request +from vision_agent.utils import extract_frames_from_video from vision_agent.utils.image_utils import ( b64_to_pil, convert_to_b64, @@ -19,9 +22,6 @@ normalize_bbox, rle_decode, ) -from vision_agent.lmm import OpenAILMM -from vision_agent.tools.tool_utils import _send_inference_request -from vision_agent.utils import extract_frames_from_video _LOGGER = logging.getLogger(__name__) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 87761c57..67939142 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -3,16 +3,16 @@ import tempfile from importlib import resources from pathlib import Path -from typing import Any, Callable, Dict, List, Union, Tuple +from typing import Any, Callable, Dict, List, Tuple, Union import numpy as np import pandas as pd import requests from PIL import Image, ImageDraw, ImageFont -from vision_agent.utils.image_utils import convert_to_b64, normalize_bbox, rle_decode from vision_agent.tools.tool_utils import _send_inference_request from vision_agent.utils import extract_frames_from_video +from vision_agent.utils.image_utils import convert_to_b64, normalize_bbox, rle_decode COLORS = [ (158, 218, 229), diff --git a/vision_agent/utils/sim.py b/vision_agent/utils/sim.py index 4eda3aaf..b4941f74 100644 --- a/vision_agent/utils/sim.py +++ b/vision_agent/utils/sim.py @@ -1,5 +1,5 @@ from pathlib import Path -from typing import List, Optional, Sequence, Union, Dict +from typing import Dict, List, Optional, Sequence, Union import pandas as pd from openai import Client From 4856b7b2f602ba7ef3a47d7faa66b66adf3ebeb3 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Sun, 5 May 2024 20:36:51 -0700 Subject: [PATCH 15/24] fix mypy --- vision_agent/agent/automated_vision_agent.py | 3 +-- vision_agent/llm/llm.py | 2 +- vision_agent/tools/tools_v2.py | 16 ++++++++-------- vision_agent/utils/sim.py | 2 +- 4 files changed, 11 insertions(+), 12 deletions(-) diff --git a/vision_agent/agent/automated_vision_agent.py b/vision_agent/agent/automated_vision_agent.py index 12deda56..c5dc5c02 100644 --- a/vision_agent/agent/automated_vision_agent.py +++ b/vision_agent/agent/automated_vision_agent.py @@ -45,7 +45,7 @@ def write_plan( context = USER_REQ_CONTEXT.format(user_requirement=user_requirements) prompt = PLAN.format(context=context, plan="", tool_desc=tool_desc) plan = json.loads(model(prompt).replace("```", "").strip()) - return plan["plan"] + return plan["plan"] # type: ignore def write_code( @@ -217,7 +217,6 @@ def __init__( self.tool_recommender = Sim(TOOLS_DF, sim_key="desc") else: self.tool_recommender = tool_recommender - self.long_term_memory = [] self.verbose = verbose if self.verbose: _LOGGER.setLevel(logging.INFO) diff --git a/vision_agent/llm/llm.py b/vision_agent/llm/llm.py index 14b096b8..96b6477b 100644 --- a/vision_agent/llm/llm.py +++ b/vision_agent/llm/llm.py @@ -59,7 +59,7 @@ def generate(self, prompt: str) -> str: response = self.client.chat.completions.create( model=self.model_name, - messages=messages, + messages=messages, # type: ignore **self.kwargs, ) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 67939142..20170a15 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -369,7 +369,7 @@ def display_segmentation_masks( return np.array(pil_image.convert("RGB")) -def get_tool_documentation(funcs: List[Callable]) -> str: +def get_tool_documentation(funcs: List[Callable[..., Any]]) -> str: docstrings = "" for func in funcs: docstrings += f"{func.__name__}{inspect.signature(func)}:\n{func.__doc__}\n\n" @@ -377,7 +377,7 @@ def get_tool_documentation(funcs: List[Callable]) -> str: return docstrings -def get_tool_descriptions(funcs: List[Callable]) -> str: +def get_tool_descriptions(funcs: List[Callable[..., Any]]) -> str: descriptions = "" for func in funcs: description = func.__doc__ @@ -392,8 +392,8 @@ def get_tool_descriptions(funcs: List[Callable]) -> str: return descriptions -def get_tools_df(funcs: List[Callable]) -> pd.DataFrame: - data = {"desc": [], "doc": []} +def get_tools_df(funcs: List[Callable[..., Any]]) -> pd.DataFrame: + data: Dict[str, List[str]] = {"desc": [], "doc": []} for func in funcs: desc = func.__doc__ @@ -406,7 +406,7 @@ def get_tools_df(funcs: List[Callable]) -> pd.DataFrame: data["desc"].append(desc) data["doc"].append(doc) - return pd.DataFrame(data) + return pd.DataFrame(data) # type: ignore TOOLS = [ @@ -419,9 +419,9 @@ def get_tools_df(funcs: List[Callable]) -> pd.DataFrame: display_bounding_boxes, display_segmentation_masks, ] -TOOLS_DF = get_tools_df(TOOLS) -TOOL_DESCRIPTIONS = get_tool_descriptions(TOOLS) -TOOL_DOCSTRING = get_tool_documentation(TOOLS) +TOOLS_DF = get_tools_df(TOOLS) # type: ignore +TOOL_DESCRIPTIONS = get_tool_descriptions(TOOLS) # type: ignore +TOOL_DOCSTRING = get_tool_documentation(TOOLS) # type: ignore UTILITIES_DOCSTRING = get_tool_documentation( [load_image, save_image, display_bounding_boxes] ) diff --git a/vision_agent/utils/sim.py b/vision_agent/utils/sim.py index b4941f74..4e052494 100644 --- a/vision_agent/utils/sim.py +++ b/vision_agent/utils/sim.py @@ -3,7 +3,7 @@ import pandas as pd from openai import Client -from scipy.spatial.distance import cosine +from scipy.spatial.distance import cosine # type: ignore client = Client() From b7b166730471c35ebaece3993ed8bc87a4cb9ab7 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 15:25:48 -0700 Subject: [PATCH 16/24] changed file names, added comments --- vision_agent/agent/__init__.py | 2 +- ...ted_vision_agent.py => vision_agent_v2.py} | 48 ++++++++++++++----- ...nt_prompt.py => vision_agent_v2_prompt.py} | 2 +- vision_agent/utils/execute.py | 3 ++ 4 files changed, 42 insertions(+), 13 deletions(-) rename vision_agent/agent/{automated_vision_agent.py => vision_agent_v2.py} (82%) rename vision_agent/agent/{automated_vision_agent_prompt.py => vision_agent_v2_prompt.py} (98%) diff --git a/vision_agent/agent/__init__.py b/vision_agent/agent/__init__.py index 6113b6bc..b358d3b0 100644 --- a/vision_agent/agent/__init__.py +++ b/vision_agent/agent/__init__.py @@ -1,6 +1,6 @@ from .agent import Agent from .agent_coder import AgentCoder -from .automated_vision_agent import AutomatedVisionAgent from .easytool import EasyTool from .reflexion import Reflexion from .vision_agent import VisionAgent +from .vision_agent_v2 import VisionAgentV2 diff --git a/vision_agent/agent/automated_vision_agent.py b/vision_agent/agent/vision_agent_v2.py similarity index 82% rename from vision_agent/agent/automated_vision_agent.py rename to vision_agent/agent/vision_agent_v2.py index c5dc5c02..f73e159e 100644 --- a/vision_agent/agent/automated_vision_agent.py +++ b/vision_agent/agent/vision_agent_v2.py @@ -12,7 +12,7 @@ from vision_agent.tools.tools_v2 import TOOL_DESCRIPTIONS, TOOLS_DF from vision_agent.utils import Execute, Sim -from .automated_vision_agent_prompt import ( +from .vision_agent_v2_prompt import ( CODE, CODE_SYS_MSG, DEBUG, @@ -164,9 +164,11 @@ def run_plan( code: str, tool_recommender: Sim, verbose: bool = False, -) -> Tuple[str, List[Dict[str, Any]]]: +) -> Tuple[str, str, List[Dict[str, Any]], Dict[str, List[str]]]: active_plan = [e for e in plan if "success" not in e or not e["success"]] working_memory: Dict[str, List[str]] = {} + current_code = code + current_test = "" for task in active_plan: _LOGGER.info( f""" @@ -178,13 +180,18 @@ def run_plan( success, code, result, task_memory = write_and_exec_code( user_req, task["instruction"], - code, + current_code, write_code if task["type"] == "code" else write_test, coder, tool_info, exec, verbose, ) + if task["type"] == "code": + current_code = code + else: + current_test = code + working_memory.update(task_memory) if verbose: @@ -200,10 +207,27 @@ def run_plan( if not success: break - return code, plan - + return current_code, current_test, plan, working_memory + + +class VisionAgentV2(Agent): + """Vision Agent is an AI agentic framework geared towards outputting Python code to + solve vision tasks. It is inspired by MetaGPT's Data Interpreter + https://arxiv.org/abs/2402.18679. Vision Agent has several key features to help it + generate code: + - A planner to generate a plan of tasks to solve a user requirement. The planner + can output code tasks or test tasks, where test tasks are used to verify the code. + - Automatic debugging, if a task fails, the agent will attempt to debug the code + using the failed output to fix it. + - A tool recommender to recommend tools to use for a given task. LLM performance + on tool retrieval starts to decrease as you add more tools, tool retrieval helps + keep the number of tools to choose from low. + - Memory retrieval, the agent can remember previous iterations on tasks to help it + with new tasks. + - Dynamic replanning, the agent can ask for feedback and replan remaining tasks + based off of that feedback. + """ -class AutomatedVisionAgent(Agent): def __init__( self, timeout: int = 600, @@ -225,7 +249,7 @@ def __call__( self, input: Union[List[Dict[str, str]], str], image: Optional[Union[str, Path]] = None, - ) -> str: + ) -> Tuple[str, str]: if isinstance(input, str): input = [{"role": "user", "content": input}] return self.chat(input, image) @@ -234,7 +258,7 @@ def chat( self, chat: List[Dict[str, str]], image: Optional[Union[str, Path]] = None, - ) -> str: + ) -> Tuple[str, str]: if len(chat) == 0: raise ValueError("Input cannot be empty.") @@ -254,7 +278,7 @@ def chat( success = False while not success: - working_code, plan = run_plan( + working_code, working_test, plan, working_memory_i = run_plan( user_req, plan, self.coder, @@ -264,11 +288,13 @@ def chat( self.verbose, ) success = all(task["success"] for task in plan) + working_memory.update(working_memory_i) if not success: - pass + # TODO: ask for feedback and replan + break - return working_code + return working_code, working_test def log_progress(self, description: str) -> None: pass diff --git a/vision_agent/agent/automated_vision_agent_prompt.py b/vision_agent/agent/vision_agent_v2_prompt.py similarity index 98% rename from vision_agent/agent/automated_vision_agent_prompt.py rename to vision_agent/agent/vision_agent_v2_prompt.py index 7d8bffdc..881274c5 100644 --- a/vision_agent/agent/automated_vision_agent_prompt.py +++ b/vision_agent/agent/vision_agent_v2_prompt.py @@ -47,7 +47,7 @@ """ -CODE_SYS_MSG = """You are an AI Python assistant. You need to help user to achieve their goal by implementing a function. Your code will be run in a jupyter notebook environment so don't use asyncio.run. Instead, use await if you need to call an async function. Do not use 'display' for showing images.""" +CODE_SYS_MSG = """You are an AI Python assistant. You need to help user to achieve their goal by implementing a function. Your code will be run in a jupyter notebook environment so don't use asyncio.run. Instead, use await if you need to call an async function. Do not use 'display' for showing images, instead use matplotlib or PIL.""" CODE = """ diff --git a/vision_agent/utils/execute.py b/vision_agent/utils/execute.py index cf162f29..aa882728 100644 --- a/vision_agent/utils/execute.py +++ b/vision_agent/utils/execute.py @@ -1,3 +1,6 @@ +"""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 re From d69ce5a49a0433ddd0e2f6c5c2e932694864c738 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 15:33:23 -0700 Subject: [PATCH 17/24] fix mypy --- vision_agent/agent/vision_agent_v2.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/vision_agent/agent/vision_agent_v2.py b/vision_agent/agent/vision_agent_v2.py index f73e159e..d2d152d3 100644 --- a/vision_agent/agent/vision_agent_v2.py +++ b/vision_agent/agent/vision_agent_v2.py @@ -249,12 +249,13 @@ def __call__( self, input: Union[List[Dict[str, str]], str], image: Optional[Union[str, Path]] = None, - ) -> Tuple[str, str]: + ) -> str: if isinstance(input, str): input = [{"role": "user", "content": input}] - return self.chat(input, image) + code, _ = self.chat_with_tests(input, image) + return code - def chat( + def chat_with_tests( self, chat: List[Dict[str, str]], image: Optional[Union[str, Path]] = None, From bc26051e9910b224a3cf2fc4dc1204e7bf5ebdb8 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 15:35:24 -0700 Subject: [PATCH 18/24] describe box output --- vision_agent/tools/tools_v2.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 20170a15..2016410e 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -60,7 +60,8 @@ def grounding_dino( Returns: List[Dict[str, Any]]: A list of dictionaries containing the score, label, and - bounding box of the detected objects with normalized coordinates. + bounding box of the detected objects with normalized coordinates + (x1, y1, x2, y2). Example ------- @@ -111,7 +112,8 @@ def grounding_sam( Returns: List[Dict[str, Any]]: A list of dictionaries containing the score, label, - bounding box, and mask of the detected objects with normalized coordinates. + bounding box, and mask of the detected objects with normalized coordinates + (x1, y1, x2, y2). Example ------- From 70e6eac96f4054cc9252f2548ca4c56afc5cee94 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 15:37:24 -0700 Subject: [PATCH 19/24] updated dependencies --- poetry.lock | 568 ++++++++++++++++++++++++++++++++++++++++++++++++- pyproject.toml | 3 + 2 files changed, 569 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index c74b4af9..16d55606 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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key client issue --- vision_agent/utils/sim.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/vision_agent/utils/sim.py b/vision_agent/utils/sim.py index 4e052494..3a244cd8 100644 --- a/vision_agent/utils/sim.py +++ b/vision_agent/utils/sim.py @@ -5,10 +5,10 @@ from openai import Client from scipy.spatial.distance import cosine # type: ignore -client = Client() - -def get_embedding(text: str, model: str = "text-embedding-3-small") -> List[float]: +def get_embedding( + client: Client, text: str, model: str = "text-embedding-3-small" +) -> List[float]: text = text.replace("\n", " ") return client.embeddings.create(input=[text], model=model).data[0].embedding @@ -18,6 +18,7 @@ def __init__( self, df: pd.DataFrame, sim_key: Optional[str] = None, + api_key: Optional[str] = None, model: str = "text-embedding-3-small", ) -> None: """Creates a similarity object that can be used to find similar items in a @@ -30,13 +31,18 @@ def __init__( model: str: The model to use for embeddings. """ self.df = df + if not api_key: + self.client = Client() + else: + self.client = Client(api_key=api_key) + self.model = model if "embs" not in df.columns and sim_key is None: raise ValueError("key is required if no column 'embs' is present.") if sim_key is not None: self.df["embs"] = self.df[sim_key].apply( - lambda x: get_embedding(x, model=self.model) + lambda x: get_embedding(self.client, x, model=self.model) ) def save(self, sim_file: Union[str, Path]) -> None: @@ -53,7 +59,7 @@ def top_k(self, query: str, k: int = 5) -> Sequence[Dict]: Sequence[Dict]: The top k most similar items. """ - embedding = get_embedding(query, model=self.model) + embedding = get_embedding(self.client, query, model=self.model) self.df["sim"] = self.df.embs.apply(lambda x: 1 - cosine(x, embedding)) res = self.df.sort_values("sim", ascending=False).head(k) return res[[c for c in res.columns if c != "embs"]].to_dict(orient="records") From 5340e464a190ad8977817c7c1249fb78a24b4cb4 Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 15:51:14 -0700 Subject: [PATCH 21/24] fixed test cases --- tests/test_type_defs.py | 2 +- tests/tools/test_video.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_type_defs.py b/tests/test_type_defs.py index 273681f6..eafb670e 100644 --- a/tests/test_type_defs.py +++ b/tests/test_type_defs.py @@ -1,6 +1,6 @@ import os -from vision_agent.type_defs import LandingaiAPIKey +from vision_agent.utils.type_defs import LandingaiAPIKey def test_load_api_credential_from_env_var(): diff --git a/tests/tools/test_video.py b/tests/tools/test_video.py index a19b529f..f77ae2df 100644 --- a/tests/tools/test_video.py +++ b/tests/tools/test_video.py @@ -1,4 +1,4 @@ -from vision_agent.tools.video import extract_frames_from_video +from vision_agent.utils.video import extract_frames_from_video def test_extract_frames_from_video(): From 8fe03b40dc6290fcab8747d17cbd8375d6471d1c Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 20:14:40 -0700 Subject: [PATCH 22/24] fixed imports --- vision_agent/agent/agent_coder.py | 9 +++++++-- vision_agent/agent/vision_agent.py | 25 ++++++++++++------------- vision_agent/agent/vision_agent_v2.py | 9 ++++----- 3 files changed, 23 insertions(+), 20 deletions(-) diff --git a/vision_agent/agent/agent_coder.py b/vision_agent/agent/agent_coder.py index ac9d4762..a1304eaa 100644 --- a/vision_agent/agent/agent_coder.py +++ b/vision_agent/agent/agent_coder.py @@ -6,13 +6,18 @@ from typing import Dict, List, Optional, Union from vision_agent.agent import Agent +from vision_agent.agent.agent_coder_prompts import ( + DEBUG, + FIX_BUG, + PROGRAM, + TEST, + VISUAL_TEST, +) from vision_agent.llm import LLM, OpenAILLM from vision_agent.lmm import LMM, OpenAILMM from vision_agent.tools.tools_v2 import TOOL_DOCSTRING, UTILITIES_DOCSTRING from vision_agent.utils import Execute -from .agent_coder_prompts import DEBUG, FIX_BUG, PROGRAM, TEST, VISUAL_TEST - IMPORT_HELPER = """ import math import re diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py index 79e147ca..d80bf9de 100644 --- a/vision_agent/agent/vision_agent.py +++ b/vision_agent/agent/vision_agent.py @@ -8,18 +8,8 @@ from PIL import Image from tabulate import tabulate -from vision_agent.llm import LLM, OpenAILLM -from vision_agent.lmm import LMM, OpenAILMM -from vision_agent.tools import TOOLS -from vision_agent.utils.image_utils import ( - convert_to_b64, - overlay_bboxes, - overlay_heat_map, - overlay_masks, -) - -from .agent import Agent -from .easytool_prompts import ( +from vision_agent.agent.agent import Agent +from vision_agent.agent.easytool_prompts import ( ANSWER_GENERATE, ANSWER_SUMMARIZE, CHOOSE_PARAMETER, @@ -27,7 +17,7 @@ TASK_DECOMPOSE, TASK_TOPOLOGY, ) -from .vision_agent_prompts import ( +from vision_agent.agent.vision_agent_prompts import ( ANSWER_GENERATE_DEPENDS, ANSWER_SUMMARIZE_DEPENDS, CHOOSE_PARAMETER_DEPENDS, @@ -35,6 +25,15 @@ TASK_DECOMPOSE_DEPENDS, VISION_AGENT_REFLECTION, ) +from vision_agent.llm import LLM, OpenAILLM +from vision_agent.lmm import LMM, OpenAILMM +from vision_agent.tools import TOOLS +from vision_agent.utils.image_utils import ( + convert_to_b64, + overlay_bboxes, + overlay_heat_map, + overlay_masks, +) logging.basicConfig(stream=sys.stdout) _LOGGER = logging.getLogger(__name__) diff --git a/vision_agent/agent/vision_agent_v2.py b/vision_agent/agent/vision_agent_v2.py index d2d152d3..0889bf4e 100644 --- a/vision_agent/agent/vision_agent_v2.py +++ b/vision_agent/agent/vision_agent_v2.py @@ -8,11 +8,7 @@ from tabulate import tabulate from vision_agent.agent import Agent -from vision_agent.llm import LLM, OpenAILLM -from vision_agent.tools.tools_v2 import TOOL_DESCRIPTIONS, TOOLS_DF -from vision_agent.utils import Execute, Sim - -from .vision_agent_v2_prompt import ( +from vision_agent.agent.vision_agent_v2_prompt import ( CODE, CODE_SYS_MSG, DEBUG, @@ -25,6 +21,9 @@ USER_REQ_CONTEXT, USER_REQ_SUBTASK_CONTEXT, ) +from vision_agent.llm import LLM, OpenAILLM +from vision_agent.tools.tools_v2 import TOOL_DESCRIPTIONS, TOOLS_DF +from vision_agent.utils import Execute, Sim logging.basicConfig(level=logging.INFO) _LOGGER = logging.getLogger(__name__) From e9c47dd235ad5e558340e5457b2fd39d97d023fb Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 20:14:51 -0700 Subject: [PATCH 23/24] renamed viz tools --- vision_agent/tools/tools_v2.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 2016410e..0754dea1 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -272,7 +272,7 @@ def save_image(image: np.ndarray) -> str: return f.name -def display_bounding_boxes( +def overlay_bounding_boxes( image: np.ndarray, bboxes: List[Dict[str, Any]] ) -> np.ndarray: """'display_bounding_boxes' is a utility function that displays bounding boxes on @@ -326,7 +326,7 @@ def display_bounding_boxes( return np.array(pil_image.convert("RGB")) -def display_segmentation_masks( +def overlay_segmentation_masks( image: np.ndarray, masks: List[Dict[str, Any]] ) -> np.ndarray: """'display_segmentation_masks' is a utility function that displays segmentation @@ -418,12 +418,12 @@ def get_tools_df(funcs: List[Callable[..., Any]]) -> pd.DataFrame: ocr, load_image, save_image, - display_bounding_boxes, - display_segmentation_masks, + overlay_bounding_boxes, + overlay_segmentation_masks, ] TOOLS_DF = get_tools_df(TOOLS) # type: ignore TOOL_DESCRIPTIONS = get_tool_descriptions(TOOLS) # type: ignore TOOL_DOCSTRING = get_tool_documentation(TOOLS) # type: ignore UTILITIES_DOCSTRING = get_tool_documentation( - [load_image, save_image, display_bounding_boxes] + [load_image, save_image, overlay_bounding_boxes] ) From a93c4f999aa76fbaaceecbda20f54dd2d162da5d Mon Sep 17 00:00:00 2001 From: Dillon Laird Date: Tue, 7 May 2024 20:23:39 -0700 Subject: [PATCH 24/24] add warning for exceeding colors --- vision_agent/tools/tools_v2.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/vision_agent/tools/tools_v2.py b/vision_agent/tools/tools_v2.py index 0754dea1..8d95897c 100644 --- a/vision_agent/tools/tools_v2.py +++ b/vision_agent/tools/tools_v2.py @@ -1,5 +1,6 @@ import inspect import io +import logging import tempfile from importlib import resources from pathlib import Path @@ -38,6 +39,8 @@ ] _API_KEY = "land_sk_WVYwP00xA3iXely2vuar6YUDZ3MJT9yLX6oW5noUkwICzYLiDV" _OCR_URL = "https://app.landing.ai/ocr/v1/detect-text" +logging.basicConfig(level=logging.INFO) +_LOGGER = logging.getLogger(__name__) def grounding_dino( @@ -294,6 +297,11 @@ def overlay_bounding_boxes( """ pil_image = Image.fromarray(image.astype(np.uint8)) + if len(set([box["label"] for box in bboxes])) > len(COLORS): + _LOGGER.warning( + "Number of unique labels exceeds the number of available colors. Some labels may have the same color." + ) + color = { label: COLORS[i % len(COLORS)] for i, label in enumerate(set([box["label"] for box in bboxes])) @@ -356,6 +364,11 @@ def overlay_segmentation_masks( """ pil_image = Image.fromarray(image.astype(np.uint8)).convert("RGBA") + if len(set([mask["label"] for mask in masks])) > len(COLORS): + _LOGGER.warning( + "Number of unique labels exceeds the number of available colors. Some labels may have the same color." + ) + color = { label: COLORS[i % len(COLORS)] for i, label in enumerate(set([mask["label"] for mask in masks]))