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Merge pull request #951 from garylin2099/v0.7-release
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v0.7.4: rename interpreter
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geekan authored Mar 5, 2024
2 parents 45dd352 + 08bf756 commit 26252e6
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4 changes: 3 additions & 1 deletion README.md
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</p>

## News
🚀 Feb. 08, 2024: [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) released, supporting assigning different LLMs to different Roles. We also introduced [Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/mi/README.md), a powerful agent capable of solving a wide range of real-world problems.
🚀 March. 01, 2024: Our Data Interpreter paper is on arxiv. Find all design and benchmark details [here](https://arxiv.org/abs/2402.18679)!

🚀 Feb. 08, 2024: [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) released, supporting assigning different LLMs to different Roles. We also introduced [Data Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/di/README.md), a powerful agent capable of solving a wide range of real-world problems.

🚀 Jan. 16, 2024: Our paper [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
](https://arxiv.org/abs/2308.00352) accepted for oral presentation **(top 1.2%)** at ICLR 2024, **ranking #1** in the LLM-based Agent category.
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18 changes: 18 additions & 0 deletions examples/di/README.md
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# Data Interpreter (DI)

## What is Data Interpreter
Data Interpreter is an agent who solves problems through codes. It understands user requirements, makes plans, writes codes for execution, and uses tools if necessary. These capabilities enable it to tackle a wide range of scenarios, please check out the examples below.

## Example List
- Data visualization
- Machine learning modeling
- Image background removal
- Solve math problems
- Receipt OCR
- Tool usage: web page imitation
- Tool usage: web crawling
- Tool usage: text2image
- Tool usage: email summarization and response
- More on the way!

Please see [here](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/interpreter/intro.html) for detailed explanation.
6 changes: 3 additions & 3 deletions examples/mi/crawl_webpage.py → examples/di/crawl_webpage.py
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@File : crawl_webpage.py
"""

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main():
prompt = """Get data from `paperlist` table in https://papercopilot.com/statistics/iclr-statistics/iclr-2024-statistics/,
and save it to a csv file. paper title must include `multiagent` or `large language model`. *notice: print key variables*"""
mi = Interpreter(use_tools=True)
di = DataInterpreter(use_tools=True)

await mi.run(prompt)
await di.run(prompt)


if __name__ == "__main__":
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import asyncio

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main(requirement: str = ""):
mi = Interpreter(use_tools=False)
await mi.run(requirement)
di = DataInterpreter(use_tools=False)
await di.run(requirement)


if __name__ == "__main__":
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6 changes: 3 additions & 3 deletions examples/mi/email_summary.py → examples/di/email_summary.py
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"""
import os

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main():
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Firstly, Please help me fetch the latest 5 senders and full letter contents.
Then, summarize each of the 5 emails into one sentence (you can do this by yourself, no need to import other models to do this) and output them in a markdown format."""

mi = Interpreter(use_tools=True)
di = DataInterpreter(use_tools=True)

await mi.run(prompt)
await di.run(prompt)


if __name__ == "__main__":
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@Author : mannaandpoem
@File : imitate_webpage.py
"""
from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main():
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Secondly, convert image to a webpage including HTML, CSS and JS in one go.
Finally, save webpage in a text file.
Note: All required dependencies and environments have been fully installed and configured."""
mi = Interpreter(use_tools=True)
di = DataInterpreter(use_tools=True)

await mi.run(prompt)
await di.run(prompt)


if __name__ == "__main__":
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import fire

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main(auto_run: bool = True):
requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy."
mi = Interpreter(auto_run=auto_run)
await mi.run(requirement)
di = DataInterpreter(auto_run=auto_run)
await di.run(requirement)


if __name__ == "__main__":
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import asyncio

from metagpt.roles.mi.ml_engineer import MLEngineer
from metagpt.roles.di.ml_engineer import MLEngineer


async def main(requirement: str):
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6 changes: 3 additions & 3 deletions examples/mi/ocr_receipt.py → examples/di/ocr_receipt.py
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@@ -1,4 +1,4 @@
from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main():
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requirement = f"""This is a {language} receipt image.
Your goal is to perform OCR on images using PaddleOCR, then extract the total amount from ocr text results, and finally save as table. Image path: {image_path}.
NOTE: The environments for Paddle and PaddleOCR are all ready and has been fully installed."""
mi = Interpreter()
di = DataInterpreter()

await mi.run(requirement)
await di.run(requirement)


if __name__ == "__main__":
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import asyncio

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main(requirement: str = ""):
mi = Interpreter(use_tools=False)
await mi.run(requirement)
di = DataInterpreter(use_tools=False)
await di.run(requirement)


if __name__ == "__main__":
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6 changes: 3 additions & 3 deletions examples/mi/sd_tool_usage.py → examples/di/sd_tool_usage.py
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# @Desc :
import asyncio

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main(requirement: str = ""):
mi = Interpreter(use_tools=True, goal=requirement)
await mi.run(requirement)
di = DataInterpreter(use_tools=True, goal=requirement)
await di.run(requirement)


if __name__ == "__main__":
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import asyncio

from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter


async def main(requirement: str = ""):
mi = Interpreter(use_tools=False)
await mi.run(requirement)
di = DataInterpreter(use_tools=False)
await di.run(requirement)


if __name__ == "__main__":
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18 changes: 0 additions & 18 deletions examples/mi/README.md

This file was deleted.

6 changes: 3 additions & 3 deletions metagpt/actions/__init__.py
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from metagpt.actions.write_prd import WritePRD
from metagpt.actions.write_prd_review import WritePRDReview
from metagpt.actions.write_test import WriteTest
from metagpt.actions.mi.execute_nb_code import ExecuteNbCode
from metagpt.actions.mi.write_analysis_code import WriteCodeWithoutTools, WriteCodeWithTools
from metagpt.actions.mi.write_plan import WritePlan
from metagpt.actions.di.execute_nb_code import ExecuteNbCode
from metagpt.actions.di.write_analysis_code import WriteCodeWithoutTools, WriteCodeWithTools
from metagpt.actions.di.write_plan import WritePlan


class ActionType(Enum):
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from __future__ import annotations

from metagpt.actions.mi.write_analysis_code import BaseWriteAnalysisCode
from metagpt.actions.di.write_analysis_code import BaseWriteAnalysisCode
from metagpt.logs import logger
from metagpt.schema import Message
from metagpt.utils.common import create_func_call_config
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from typing import Tuple

from metagpt.actions import Action
from metagpt.actions.mi.write_analysis_code import WriteCodeWithTools
from metagpt.prompts.mi.ml_action import (
from metagpt.actions.di.write_analysis_code import WriteCodeWithTools
from metagpt.prompts.di.ml_action import (
ML_GENERATE_CODE_PROMPT,
ML_TOOL_USAGE_PROMPT,
PRINT_DATA_COLUMNS,
UPDATE_DATA_COLUMNS,
)
from metagpt.prompts.mi.write_analysis_code import CODE_GENERATOR_WITH_TOOLS
from metagpt.prompts.di.write_analysis_code import CODE_GENERATOR_WITH_TOOLS
from metagpt.schema import Message, Plan
from metagpt.utils.common import create_func_call_config, remove_comments

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from metagpt.actions import Action
from metagpt.logs import logger
from metagpt.prompts.mi.write_analysis_code import (
from metagpt.prompts.di.write_analysis_code import (
CODE_GENERATOR_WITH_TOOLS,
SELECT_FUNCTION_TOOLS,
TOOL_RECOMMENDATION_PROMPT,
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from metagpt.actions import Action
from metagpt.logs import logger
from metagpt.prompts.mi.write_analysis_code import (
from metagpt.prompts.di.write_analysis_code import (
ASSIGN_TASK_TYPE_CONFIG,
ASSIGN_TASK_TYPE_PROMPT,
)
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from pydantic import Field

from metagpt.actions.mi.ask_review import ReviewConst
from metagpt.actions.mi.execute_nb_code import ExecuteNbCode
from metagpt.actions.mi.write_analysis_code import (
from metagpt.actions.di.ask_review import ReviewConst
from metagpt.actions.di.execute_nb_code import ExecuteNbCode
from metagpt.actions.di.write_analysis_code import (
WriteCodeWithoutTools,
WriteCodeWithTools,
)
Expand All @@ -13,9 +13,9 @@
from metagpt.schema import Message, Task, TaskResult


class Interpreter(Role):
name: str = "Ivy"
profile: str = "Interpreter"
class DataInterpreter(Role):
name: str = "David"
profile: str = "DataInterpreter"
auto_run: bool = True
use_tools: bool = False
execute_code: ExecuteNbCode = Field(default_factory=ExecuteNbCode, exclude=True)
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@@ -1,13 +1,13 @@
from metagpt.actions.mi.debug_code import DebugCode
from metagpt.actions.mi.execute_nb_code import ExecuteNbCode
from metagpt.actions.mi.ml_action import UpdateDataColumns, WriteCodeWithToolsML
from metagpt.actions.di.debug_code import DebugCode
from metagpt.actions.di.execute_nb_code import ExecuteNbCode
from metagpt.actions.di.ml_action import UpdateDataColumns, WriteCodeWithToolsML
from metagpt.logs import logger
from metagpt.roles.mi.interpreter import Interpreter
from metagpt.roles.di.data_interpreter import DataInterpreter
from metagpt.tools.tool_type import ToolType
from metagpt.utils.common import any_to_str


class MLEngineer(Interpreter):
class MLEngineer(DataInterpreter):
name: str = "Mark"
profile: str = "MLEngineer"
debug_context: list = []
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4 changes: 2 additions & 2 deletions metagpt/strategy/planner.py
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from pydantic import BaseModel, Field

from metagpt.actions.mi.ask_review import AskReview, ReviewConst
from metagpt.actions.mi.write_plan import (
from metagpt.actions.di.ask_review import AskReview, ReviewConst
from metagpt.actions.di.write_plan import (
WritePlan,
precheck_update_plan_from_rsp,
update_plan_from_rsp,
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4 changes: 2 additions & 2 deletions metagpt/strategy/solver.py
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Expand Up @@ -49,8 +49,8 @@ async def solve(self):
raise NotImplementedError


class InterpreterSolver(BaseSolver):
"""InterpreterSolver: Write&Run code in the graph"""
class DataInterpreterSolver(BaseSolver):
"""DataInterpreterSolver: Write&Run code in the graph"""

async def solve(self):
raise NotImplementedError
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -57,7 +57,7 @@ def run(self):

setup(
name="metagpt",
version="0.7.3",
version="0.7.4",
description="The Multi-Agent Framework",
long_description=long_description,
long_description_content_type="text/markdown",
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@@ -1,6 +1,6 @@
import pytest

from metagpt.actions.mi.ask_review import AskReview
from metagpt.actions.di.ask_review import AskReview


@pytest.mark.asyncio
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import pytest

from metagpt.actions.mi.debug_code import DebugCode
from metagpt.actions.di.debug_code import DebugCode
from metagpt.schema import Message

ErrorStr = """Tested passed:
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import pytest

from metagpt.actions.mi.execute_nb_code import ExecuteNbCode, truncate
from metagpt.actions.di.execute_nb_code import ExecuteNbCode, truncate


@pytest.mark.asyncio
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import pytest

from metagpt.actions.mi.ml_action import WriteCodeWithToolsML
from metagpt.actions.di.ml_action import WriteCodeWithToolsML
from metagpt.schema import Plan, Task


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import pytest

from metagpt.actions.mi.execute_nb_code import ExecuteNbCode
from metagpt.actions.mi.write_analysis_code import (
from metagpt.actions.di.execute_nb_code import ExecuteNbCode
from metagpt.actions.di.write_analysis_code import (
WriteCodeWithoutTools,
WriteCodeWithTools,
)
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@@ -1,6 +1,6 @@
import pytest

from metagpt.actions.mi.write_plan import (
from metagpt.actions.di.write_plan import (
Plan,
Task,
WritePlan,
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