├── tests ├── __init__.py ├── test_import.py └── test_utils.py ├── .github ├── actions │ └── uv_setup │ │ └── action.yml └── workflows │ ├── _test.yml │ ├── _lint.yml │ ├── ci.yml │ └── release.yml ├── LICENSE ├── pyproject.toml ├── Makefile ├── langgraph_codeact ├── utils.py └── __init__.py ├── examples ├── math_example.py ├── cipher_example.py └── pyodide_sandbox_example.py ├── .gitignore ├── README.md └── poetry.lock /tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /tests/test_import.py: -------------------------------------------------------------------------------- 1 | def test_import() -> None: 2 | """Test that the code can be imported""" 3 | from langgraph_codeact import ( # noqa: F401 4 | create_codeact, 5 | create_default_prompt, 6 | ) 7 | -------------------------------------------------------------------------------- /.github/actions/uv_setup/action.yml: -------------------------------------------------------------------------------- 1 | # TODO: https://docs.astral.sh/uv/guides/integration/github/#caching 2 | 3 | name: uv-install 4 | description: Set up Python and uv 5 | 6 | inputs: 7 | python-version: 8 | description: Python version, supporting MAJOR.MINOR only 9 | required: true 10 | 11 | env: 12 | UV_VERSION: "0.5.25" 13 | 14 | runs: 15 | using: composite 16 | steps: 17 | - name: Install uv and set the python version 18 | uses: astral-sh/setup-uv@v5 19 | with: 20 | version: ${{ env.UV_VERSION }} 21 | python-version: ${{ inputs.python-version }} 22 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 LangChain 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /.github/workflows/_test.yml: -------------------------------------------------------------------------------- 1 | name: test 2 | 3 | on: 4 | workflow_call: 5 | inputs: 6 | working-directory: 7 | required: true 8 | type: string 9 | description: "From which folder this pipeline executes" 10 | python-version: 11 | required: true 12 | type: string 13 | description: "Python version to use" 14 | 15 | env: 16 | UV_FROZEN: "true" 17 | UV_NO_SYNC: "true" 18 | 19 | jobs: 20 | build: 21 | defaults: 22 | run: 23 | working-directory: ${{ inputs.working-directory }} 24 | runs-on: ubuntu-latest 25 | timeout-minutes: 20 26 | name: "make test #${{ inputs.python-version }}" 27 | steps: 28 | - uses: actions/checkout@v4 29 | 30 | - name: Set up Python ${{ inputs.python-version }} + uv 31 | uses: "./.github/actions/uv_setup" 32 | id: setup-python 33 | with: 34 | python-version: ${{ inputs.python-version }} 35 | - name: Install dependencies 36 | shell: bash 37 | run: uv sync --group test 38 | 39 | - name: Run core tests 40 | shell: bash 41 | run: | 42 | make test 43 | -------------------------------------------------------------------------------- /.github/workflows/_lint.yml: -------------------------------------------------------------------------------- 1 | name: lint 2 | 3 | on: 4 | workflow_call: 5 | inputs: 6 | working-directory: 7 | required: true 8 | type: string 9 | description: "From which folder this pipeline executes" 10 | python-version: 11 | required: true 12 | type: string 13 | description: "Python version to use" 14 | 15 | env: 16 | WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }} 17 | 18 | # This env var allows us to get inline annotations when ruff has complaints. 19 | RUFF_OUTPUT_FORMAT: github 20 | 21 | UV_FROZEN: "true" 22 | 23 | jobs: 24 | build: 25 | name: "make lint #${{ inputs.python-version }}" 26 | runs-on: ubuntu-latest 27 | timeout-minutes: 20 28 | steps: 29 | - uses: actions/checkout@v4 30 | 31 | - name: Set up Python ${{ inputs.python-version }} + uv 32 | uses: "./.github/actions/uv_setup" 33 | with: 34 | python-version: ${{ inputs.python-version }} 35 | 36 | - name: Install dependencies 37 | working-directory: ${{ inputs.working-directory }} 38 | run: | 39 | uv sync --group test 40 | 41 | - name: Analysing the code with our lint 42 | working-directory: ${{ inputs.working-directory }} 43 | run: | 44 | make lint 45 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "langgraph-codeact" 3 | version = "0.1.3" 4 | description = "LangGraph implementation of CodeAct agent that generates and executes code instead of tool calling." 5 | authors = [ 6 | {name = "Nuno Campos",email = "nuno@langchain.dev"} 7 | ] 8 | license = {text = "MIT"} 9 | readme = "README.md" 10 | requires-python = ">=3.10,<4.0" 11 | dependencies = [ 12 | "langgraph>=0.4.5" 13 | ] 14 | 15 | [build-system] 16 | requires = ["pdm-backend"] 17 | build-backend = "pdm.backend" 18 | 19 | [dependency-groups] 20 | dev = [ 21 | "langchain-anthropic>=0.3.9,<0.4.0", 22 | "langchain>=0.3.20,<0.4.0", 23 | "langchain-sandbox>=0.0.5,<0.1.0" 24 | ] 25 | test = [ 26 | "pytest>=8.0.0", 27 | "ruff>=0.9.4", 28 | "mypy>=1.8.0", 29 | "pytest-socket>=0.7.0", 30 | "types-setuptools>=69.0.0", 31 | ] 32 | 33 | [tool.pytest.ini_options] 34 | minversion = "8.0" 35 | addopts = "-ra -q -v" 36 | testpaths = [ 37 | "tests", 38 | ] 39 | python_files = ["test_*.py"] 40 | python_functions = ["test_*"] 41 | 42 | [tool.ruff] 43 | line-length = 100 44 | target-version = "py310" 45 | 46 | [tool.ruff.lint] 47 | select = [ 48 | "E", # pycodestyle errors 49 | "W", # pycodestyle warnings 50 | "F", # pyflakes 51 | "I", # isort 52 | "B", # flake8-bugbear 53 | ] 54 | ignore = [ 55 | "E501" # line-length 56 | ] 57 | 58 | [tool.mypy] 59 | python_version = "3.11" 60 | warn_return_any = true 61 | warn_unused_configs = true 62 | disallow_untyped_defs = true 63 | check_untyped_defs = true 64 | 65 | -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 1 | .PHONY: all lint format test help 2 | 3 | # Default target executed when no arguments are given to make. 4 | all: help 5 | 6 | ###################### 7 | # TESTING AND COVERAGE 8 | ###################### 9 | 10 | # Define a variable for the test file path. 11 | TEST_FILE ?= tests/ 12 | 13 | test: 14 | uv run pytest --disable-socket --allow-unix-socket $(TEST_FILE) 15 | 16 | test_watch: 17 | uv run ptw . -- $(TEST_FILE) 18 | 19 | 20 | ###################### 21 | # LINTING AND FORMATTING 22 | ###################### 23 | 24 | # Define a variable for Python and notebook files. 25 | lint format: PYTHON_FILES=. 26 | lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=. --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') 27 | 28 | lint lint_diff: 29 | [ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff 30 | [ "$(PYTHON_FILES)" = "" ] || uv run ruff check $(PYTHON_FILES) --diff 31 | # [ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) 32 | 33 | format format_diff: 34 | [ "$(PYTHON_FILES)" = "" ] || uv run ruff check --fix $(PYTHON_FILES) 35 | [ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) 36 | 37 | 38 | 39 | ###################### 40 | # HELP 41 | ###################### 42 | 43 | help: 44 | @echo '====================' 45 | @echo '-- LINTING --' 46 | @echo 'format - run code formatters' 47 | @echo 'lint - run linters' 48 | @echo '-- TESTS --' 49 | @echo 'test - run unit tests' 50 | @echo 'test TEST_FILE= - run all tests in file' 51 | @echo '-- DOCUMENTATION tasks are from the top-level Makefile --' 52 | 53 | 54 | -------------------------------------------------------------------------------- /langgraph_codeact/utils.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | BACKTICK_PATTERN = r"(?:^|\n)```(.*?)(?:```(?:\n|$))" 4 | 5 | 6 | def extract_and_combine_codeblocks(text: str) -> str: 7 | """ 8 | Extracts all codeblocks from a text string and combines them into a single code string. 9 | 10 | Args: 11 | text: A string containing zero or more codeblocks, where each codeblock is 12 | surrounded by triple backticks (```). 13 | 14 | Returns: 15 | A string containing the combined code from all codeblocks, with each codeblock 16 | separated by a newline. 17 | 18 | Example: 19 | text = '''Here's some code: 20 | 21 | ```python 22 | print('hello') 23 | ``` 24 | And more: 25 | 26 | ``` 27 | print('world') 28 | ```''' 29 | 30 | result = extract_and_combine_codeblocks(text) 31 | 32 | Result: 33 | 34 | print('hello') 35 | 36 | print('world') 37 | """ 38 | # Find all code blocks in the text using regex 39 | # Pattern matches anything between triple backticks, with or without a language identifier 40 | code_blocks = re.findall(BACKTICK_PATTERN, text, re.DOTALL) 41 | 42 | if not code_blocks: 43 | return "" 44 | 45 | # Process each codeblock 46 | processed_blocks = [] 47 | for block in code_blocks: 48 | # Strip leading and trailing whitespace 49 | block = block.strip() 50 | 51 | # If the first line looks like a language identifier, remove it 52 | lines = block.split("\n") 53 | if lines and (not lines[0].strip() or " " not in lines[0].strip()): 54 | # First line is empty or likely a language identifier (no spaces) 55 | block = "\n".join(lines[1:]) 56 | 57 | processed_blocks.append(block) 58 | 59 | # Combine all codeblocks with newlines between them 60 | combined_code = "\n\n".join(processed_blocks) 61 | return combined_code 62 | -------------------------------------------------------------------------------- /.github/workflows/ci.yml: -------------------------------------------------------------------------------- 1 | --- 2 | name: Run CI Tests 3 | 4 | on: 5 | push: 6 | branches: [ main ] 7 | pull_request: 8 | workflow_dispatch: # Allows to trigger the workflow manually in GitHub UI 9 | 10 | # If another push to the same PR or branch happens while this workflow is still running, 11 | # cancel the earlier run in favor of the next run. 12 | # 13 | # There's no point in testing an outdated version of the code. GitHub only allows 14 | # a limited number of job runners to be active at the same time, so it's better to cancel 15 | # pointless jobs early so that more useful jobs can run sooner. 16 | concurrency: 17 | group: ${{ github.workflow }}-${{ github.ref }} 18 | cancel-in-progress: true 19 | 20 | jobs: 21 | lint: 22 | strategy: 23 | matrix: 24 | # Only lint on the min and max supported Python versions. 25 | # It's extremely unlikely that there's a lint issue on any version in between 26 | # that doesn't show up on the min or max versions. 27 | # 28 | # GitHub rate-limits how many jobs can be running at any one time. 29 | # Starting new jobs is also relatively slow, 30 | # so linting on fewer versions makes CI faster. 31 | python-version: 32 | - "3.12" 33 | uses: 34 | ./.github/workflows/_lint.yml 35 | with: 36 | working-directory: . 37 | python-version: ${{ matrix.python-version }} 38 | secrets: inherit 39 | test: 40 | strategy: 41 | matrix: 42 | # Only lint on the min and max supported Python versions. 43 | # It's extremely unlikely that there's a lint issue on any version in between 44 | # that doesn't show up on the min or max versions. 45 | # 46 | # GitHub rate-limits how many jobs can be running at any one time. 47 | # Starting new jobs is also relatively slow, 48 | # so linting on fewer versions makes CI faster. 49 | python-version: 50 | - "3.10" 51 | - "3.12" 52 | uses: 53 | ./.github/workflows/_test.yml 54 | with: 55 | working-directory: . 56 | python-version: ${{ matrix.python-version }} 57 | secrets: inherit 58 | 59 | -------------------------------------------------------------------------------- /examples/math_example.py: -------------------------------------------------------------------------------- 1 | import builtins 2 | import contextlib 3 | import io 4 | import math 5 | from typing import Any 6 | 7 | from langchain.chat_models import init_chat_model 8 | from langgraph.checkpoint.memory import MemorySaver 9 | 10 | from langgraph_codeact import create_codeact 11 | 12 | 13 | def eval(code: str, _locals: dict[str, Any]) -> tuple[str, dict[str, Any]]: 14 | # Store original keys before execution 15 | original_keys = set(_locals.keys()) 16 | 17 | try: 18 | with contextlib.redirect_stdout(io.StringIO()) as f: 19 | exec(code, builtins.__dict__, _locals) 20 | result = f.getvalue() 21 | if not result: 22 | result = "" 23 | except Exception as e: 24 | result = f"Error during execution: {repr(e)}" 25 | 26 | # Determine new variables created during execution 27 | new_keys = set(_locals.keys()) - original_keys 28 | new_vars = {key: _locals[key] for key in new_keys} 29 | return result, new_vars 30 | 31 | 32 | def add(a: float, b: float) -> float: 33 | """Add two numbers together.""" 34 | return a + b 35 | 36 | 37 | def multiply(a: float, b: float) -> float: 38 | """Multiply two numbers together.""" 39 | return a * b 40 | 41 | 42 | def divide(a: float, b: float) -> float: 43 | """Divide two numbers.""" 44 | return a / b 45 | 46 | 47 | def subtract(a: float, b: float) -> float: 48 | """Subtract two numbers.""" 49 | return a - b 50 | 51 | 52 | def sin(a: float) -> float: 53 | """Take the sine of a number.""" 54 | return math.sin(a) 55 | 56 | 57 | def cos(a: float) -> float: 58 | """Take the cosine of a number.""" 59 | return math.cos(a) 60 | 61 | 62 | def radians(a: float) -> float: 63 | """Convert degrees to radians.""" 64 | return math.radians(a) 65 | 66 | 67 | def exponentiation(a: float, b: float) -> float: 68 | """Raise one number to the power of another.""" 69 | return a**b 70 | 71 | 72 | def sqrt(a: float) -> float: 73 | """Take the square root of a number.""" 74 | return math.sqrt(a) 75 | 76 | 77 | def ceil(a: float) -> float: 78 | """Round a number up to the nearest integer.""" 79 | return math.ceil(a) 80 | 81 | 82 | tools = [ 83 | add, 84 | multiply, 85 | divide, 86 | subtract, 87 | sin, 88 | cos, 89 | radians, 90 | exponentiation, 91 | sqrt, 92 | ceil, 93 | ] 94 | 95 | model = init_chat_model("claude-3-7-sonnet-latest", model_provider="anthropic") 96 | 97 | code_act = create_codeact(model, tools, eval) 98 | agent = code_act.compile(checkpointer=MemorySaver()) 99 | 100 | if __name__ == "__main__": 101 | messages = [ 102 | { 103 | "role": "user", 104 | "content": "A batter hits a baseball at 45.847 m/s at an angle of 23.474° above the horizontal. The outfielder, who starts facing the batter, picks up the baseball as it lands, then throws it back towards the batter at 24.12 m/s at an angle of 39.12 degrees. How far is the baseball from where the batter originally hit it? Assume zero air resistance.", 105 | } 106 | ] 107 | for typ, chunk in agent.stream( 108 | {"messages": messages}, 109 | stream_mode=["values", "messages"], 110 | config={"configurable": {"thread_id": 1}}, 111 | ): 112 | if typ == "messages": 113 | print(chunk[0].content, end="") 114 | elif typ == "values": 115 | print("\n\n---answer---\n\n", chunk) 116 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # UV 98 | # Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | #uv.lock 102 | 103 | # poetry 104 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 105 | # This is especially recommended for binary packages to ensure reproducibility, and is more 106 | # commonly ignored for libraries. 107 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 108 | #poetry.lock 109 | 110 | # pdm 111 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 112 | #pdm.lock 113 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 114 | # in version control. 115 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 116 | .pdm.toml 117 | .pdm-python 118 | .pdm-build/ 119 | 120 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 121 | __pypackages__/ 122 | 123 | # Celery stuff 124 | celerybeat-schedule 125 | celerybeat.pid 126 | 127 | # SageMath parsed files 128 | *.sage.py 129 | 130 | # Environments 131 | .env 132 | .venv 133 | env/ 134 | venv/ 135 | ENV/ 136 | env.bak/ 137 | venv.bak/ 138 | 139 | # Spyder project settings 140 | .spyderproject 141 | .spyproject 142 | 143 | # Rope project settings 144 | .ropeproject 145 | 146 | # mkdocs documentation 147 | /site 148 | 149 | # mypy 150 | .mypy_cache/ 151 | .dmypy.json 152 | dmypy.json 153 | 154 | # Pyre type checker 155 | .pyre/ 156 | 157 | # pytype static type analyzer 158 | .pytype/ 159 | 160 | # Cython debug symbols 161 | cython_debug/ 162 | 163 | # PyCharm 164 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 165 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 166 | # and can be added to the global gitignore or merged into this file. For a more nuclear 167 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 168 | #.idea/ 169 | 170 | # PyPI configuration file 171 | .pypirc 172 | -------------------------------------------------------------------------------- /tests/test_utils.py: -------------------------------------------------------------------------------- 1 | from langgraph_codeact.utils import extract_and_combine_codeblocks 2 | 3 | 4 | def test_empty_text(): 5 | """Test when the input text has no codeblocks.""" 6 | text = "This is a text without any code blocks." 7 | result = extract_and_combine_codeblocks(text) 8 | assert result == "" 9 | 10 | 11 | def test_single_codeblock_no_language(): 12 | """Test extracting a single codeblock without language identifier.""" 13 | text = """Here is a code block: 14 | ``` 15 | print("Hello, world!") 16 | x = 10 17 | ``` 18 | End of the code.""" 19 | 20 | expected = """\ 21 | print("Hello, world!") 22 | x = 10\ 23 | """ 24 | result = extract_and_combine_codeblocks(text) 25 | assert result == expected 26 | 27 | 28 | def test_single_codeblock_with_language(): 29 | """Test extracting a single codeblock with language identifier.""" 30 | text = """Here is a code block: 31 | ```python 32 | print("Hello, world!") 33 | x = 10 34 | ``` 35 | End of the code.""" 36 | 37 | expected = """\ 38 | print("Hello, world!") 39 | x = 10\ 40 | """ 41 | result = extract_and_combine_codeblocks(text) 42 | assert result == expected 43 | 44 | 45 | def test_multiple_codeblocks(): 46 | """Test extracting and combining multiple codeblocks.""" 47 | text = """Here's the first code block: 48 | ```python 49 | def hello(): 50 | print("Hello!") 51 | ``` 52 | 53 | And here's the second one: 54 | ```python 55 | result = 42 56 | print(f"The answer is {result}") 57 | ```""" 58 | 59 | expected = """\ 60 | def hello(): 61 | print("Hello!") 62 | 63 | result = 42 64 | print(f"The answer is {result}")\ 65 | """ 66 | result = extract_and_combine_codeblocks(text) 67 | assert result == expected 68 | 69 | 70 | def test_multiple_codeblocks_mixed(): 71 | """Test codeblocks with a mix of language identifiers / no identifiers.""" 72 | text = """Different language identifiers: 73 | ```python 74 | x = 10 75 | ``` 76 | 77 | ```python 78 | y = 20 79 | ``` 80 | 81 | ``` 82 | z = 30 83 | ```""" 84 | 85 | expected = """\ 86 | x = 10 87 | 88 | y = 20 89 | 90 | z = 30\ 91 | """ 92 | result = extract_and_combine_codeblocks(text) 93 | assert result == expected 94 | 95 | 96 | def test_empty_codeblock(): 97 | """Test an empty codeblock.""" 98 | text = "Empty block: `````` should be ignored." 99 | result = extract_and_combine_codeblocks(text) 100 | assert result == "" 101 | 102 | 103 | def test_language_with_spaces(): 104 | """Test a codeblock with a language identifier containing spaces.""" 105 | text = """Here is code with a more unusual language tag: 106 | ```python code 107 | x = 10 108 | y = 20 109 | ```""" 110 | 111 | # The first line shouldn't be removed since it contains spaces 112 | expected = """\ 113 | python code 114 | x = 10 115 | y = 20\ 116 | """ 117 | result = extract_and_combine_codeblocks(text) 118 | assert result == expected 119 | 120 | 121 | def test_with_nested_backticks(): 122 | """Test with nested backticks inside the code block.""" 123 | text = """Code with nested backticks: 124 | ``` 125 | def example(): 126 | code = "```nested```" 127 | return code 128 | ```""" 129 | 130 | expected = """\ 131 | def example(): 132 | code = "```nested```" 133 | return code\ 134 | """ 135 | result = extract_and_combine_codeblocks(text) 136 | assert result == expected 137 | 138 | 139 | def test_realistic_example(): 140 | """Test with a realistic example similar to the one provided in the user query.""" 141 | text = """First, I'll find where the baseball lands when hit by the batter. Then, I'll calculate where the ball lands after being thrown by the outfielder. 142 | 143 | ```python 144 | # Constants 145 | g = 9.81 # acceleration due to gravity 146 | v0_batter = 45.847 # initial velocity 147 | angle_batter_deg = 23.474 # angle in degrees 148 | 149 | print(f"The ball lands {distance:.2f} meters away") 150 | ``` 151 | 152 | Now, let's calculate the second trajectory: 153 | 154 | ``` 155 | # Outfielder's throw 156 | v0_outfielder = 24.12 # initial velocity 157 | distance_2 = v0_outfielder * 2 # simplified calculation 158 | print(f"Final position: {distance_2:.2f} meters") 159 | ```""" 160 | 161 | expected = """\ 162 | # Constants 163 | g = 9.81 # acceleration due to gravity 164 | v0_batter = 45.847 # initial velocity 165 | angle_batter_deg = 23.474 # angle in degrees 166 | 167 | print(f"The ball lands {distance:.2f} meters away") 168 | 169 | # Outfielder's throw 170 | v0_outfielder = 24.12 # initial velocity 171 | distance_2 = v0_outfielder * 2 # simplified calculation 172 | print(f"Final position: {distance_2:.2f} meters")\ 173 | """ 174 | result = extract_and_combine_codeblocks(text) 175 | assert result == expected 176 | -------------------------------------------------------------------------------- /.github/workflows/release.yml: -------------------------------------------------------------------------------- 1 | name: release 2 | run-name: Release ${{ inputs.working-directory }} by @${{ github.actor }} 3 | on: 4 | workflow_call: 5 | inputs: 6 | working-directory: 7 | required: true 8 | type: string 9 | description: "From which folder this pipeline executes" 10 | workflow_dispatch: 11 | inputs: 12 | working-directory: 13 | description: "From which folder this pipeline executes" 14 | default: "." 15 | dangerous-nonmain-release: 16 | required: false 17 | type: boolean 18 | default: false 19 | description: "Release from a non-main branch (danger!)" 20 | 21 | env: 22 | PYTHON_VERSION: "3.11" 23 | UV_FROZEN: "true" 24 | UV_NO_SYNC: "true" 25 | 26 | jobs: 27 | build: 28 | if: github.ref == 'refs/heads/main' || inputs.dangerous-nonmain-release 29 | environment: Scheduled testing 30 | runs-on: ubuntu-latest 31 | 32 | outputs: 33 | pkg-name: ${{ steps.check-version.outputs.pkg-name }} 34 | version: ${{ steps.check-version.outputs.version }} 35 | 36 | steps: 37 | - uses: actions/checkout@v4 38 | 39 | - name: Set up Python + uv 40 | uses: "./.github/actions/uv_setup" 41 | with: 42 | python-version: ${{ env.PYTHON_VERSION }} 43 | 44 | # We want to keep this build stage *separate* from the release stage, 45 | # so that there's no sharing of permissions between them. 46 | # The release stage has trusted publishing and GitHub repo contents write access, 47 | # and we want to keep the scope of that access limited just to the release job. 48 | # Otherwise, a malicious `build` step (e.g. via a compromised dependency) 49 | # could get access to our GitHub or PyPI credentials. 50 | # 51 | # Per the trusted publishing GitHub Action: 52 | # > It is strongly advised to separate jobs for building [...] 53 | # > from the publish job. 54 | # https://github.com/pypa/gh-action-pypi-publish#non-goals 55 | - name: Build project for distribution 56 | run: uv build 57 | - name: Upload build 58 | uses: actions/upload-artifact@v4 59 | with: 60 | name: dist 61 | path: ${{ inputs.working-directory }}/dist/ 62 | 63 | - name: Check Version 64 | id: check-version 65 | shell: python 66 | working-directory: ${{ inputs.working-directory }} 67 | run: | 68 | import os 69 | import tomllib 70 | with open("pyproject.toml", "rb") as f: 71 | data = tomllib.load(f) 72 | pkg_name = data["project"]["name"] 73 | version = data["project"]["version"] 74 | with open(os.environ["GITHUB_OUTPUT"], "a") as f: 75 | f.write(f"pkg-name={pkg_name}\n") 76 | f.write(f"version={version}\n") 77 | publish: 78 | needs: 79 | - build 80 | runs-on: ubuntu-latest 81 | permissions: 82 | # This permission is used for trusted publishing: 83 | # https://blog.pypi.org/posts/2023-04-20-introducing-trusted-publishers/ 84 | # 85 | # Trusted publishing has to also be configured on PyPI for each package: 86 | # https://docs.pypi.org/trusted-publishers/adding-a-publisher/ 87 | id-token: write 88 | 89 | defaults: 90 | run: 91 | working-directory: ${{ inputs.working-directory }} 92 | 93 | steps: 94 | - uses: actions/checkout@v4 95 | 96 | - name: Set up Python + uv 97 | uses: "./.github/actions/uv_setup" 98 | with: 99 | python-version: ${{ env.PYTHON_VERSION }} 100 | 101 | - uses: actions/download-artifact@v4 102 | with: 103 | name: dist 104 | path: ${{ inputs.working-directory }}/dist/ 105 | 106 | - name: Publish package distributions to PyPI 107 | uses: pypa/gh-action-pypi-publish@release/v1 108 | with: 109 | packages-dir: ${{ inputs.working-directory }}/dist/ 110 | verbose: true 111 | print-hash: true 112 | # Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0 113 | attestations: false 114 | 115 | mark-release: 116 | needs: 117 | - build 118 | - publish 119 | runs-on: ubuntu-latest 120 | permissions: 121 | # This permission is needed by `ncipollo/release-action` to 122 | # create the GitHub release. 123 | contents: write 124 | 125 | defaults: 126 | run: 127 | working-directory: ${{ inputs.working-directory }} 128 | 129 | steps: 130 | - uses: actions/checkout@v4 131 | 132 | - name: Set up Python + uv 133 | uses: "./.github/actions/uv_setup" 134 | with: 135 | python-version: ${{ env.PYTHON_VERSION }} 136 | 137 | - uses: actions/download-artifact@v4 138 | with: 139 | name: dist 140 | path: ${{ inputs.working-directory }}/dist/ 141 | 142 | - name: Create Tag 143 | uses: ncipollo/release-action@v1 144 | with: 145 | artifacts: "dist/*" 146 | token: ${{ secrets.GITHUB_TOKEN }} 147 | generateReleaseNotes: true 148 | tag: ${{needs.build.outputs.pkg-name}}==${{ needs.build.outputs.version }} 149 | body: ${{ needs.release-notes.outputs.release-body }} 150 | commit: main 151 | makeLatest: true -------------------------------------------------------------------------------- /examples/cipher_example.py: -------------------------------------------------------------------------------- 1 | import base64 2 | import builtins 3 | import contextlib 4 | import io 5 | from typing import Any 6 | 7 | from langchain.chat_models import init_chat_model 8 | from langchain_core.runnables import RunnableConfig 9 | from langgraph.checkpoint.memory import MemorySaver 10 | 11 | from langgraph_codeact import create_codeact, create_default_prompt 12 | 13 | 14 | def eval(code: str, _locals: dict[str, Any]) -> tuple[str, dict[str, Any]]: 15 | # Store original keys before execution 16 | original_keys = set(_locals.keys()) 17 | 18 | try: 19 | with contextlib.redirect_stdout(io.StringIO()) as f: 20 | exec(code, builtins.__dict__, _locals) 21 | result = f.getvalue() 22 | if not result: 23 | result = "" 24 | except Exception as e: 25 | result = f"Error during execution: {repr(e)}" 26 | 27 | # Determine new variables created during execution 28 | new_keys = set(_locals.keys()) - original_keys 29 | new_vars = {key: _locals[key] for key in new_keys} 30 | return result, new_vars 31 | 32 | 33 | def caesar_shift_decode(text: str, shift: int) -> str: 34 | """Decode text that was encoded using Caesar shift. 35 | 36 | Args: 37 | text: The encoded text to decode 38 | shift: The number of positions to shift back (positive number) 39 | 40 | Returns: 41 | The decoded text 42 | """ 43 | result = "" 44 | for char in text: 45 | if char.isalpha(): 46 | # Determine the case and base ASCII value 47 | ascii_base = ord("A") if char.isupper() else ord("a") 48 | # Shift the character back and wrap around if needed 49 | shifted = (ord(char) - ascii_base - shift) % 26 50 | result += chr(ascii_base + shifted) 51 | else: 52 | result += char 53 | return result 54 | 55 | 56 | def base64_decode(text: str) -> str: 57 | """Decode text that was encoded using base64. 58 | 59 | Args: 60 | text: The base64 encoded text to decode 61 | 62 | Returns: 63 | The decoded text as a string 64 | 65 | Raises: 66 | Exception: If the input is not valid base64 67 | """ 68 | # Add padding if needed 69 | padding = 4 - (len(text) % 4) 70 | if padding != 4: 71 | text += "=" * padding 72 | 73 | # Decode the base64 string 74 | decoded_bytes = base64.b64decode(text) 75 | return decoded_bytes.decode("utf-8") 76 | 77 | 78 | def caesar_shift_encode(text: str, shift: int) -> str: 79 | """Encode text using Caesar shift. 80 | 81 | Args: 82 | text: The text to encode 83 | shift: The number of positions to shift forward (positive number) 84 | 85 | Returns: 86 | The encoded text 87 | """ 88 | result = "" 89 | for char in text: 90 | if char.isalpha(): 91 | # Determine the case and base ASCII value 92 | ascii_base = ord("A") if char.isupper() else ord("a") 93 | # Shift the character forward and wrap around if needed 94 | shifted = (ord(char) - ascii_base + shift) % 26 95 | result += chr(ascii_base + shifted) 96 | else: 97 | result += char 98 | return result 99 | 100 | 101 | def base64_encode(text: str) -> str: 102 | """Encode text using base64. 103 | 104 | Args: 105 | text: The text to encode 106 | 107 | Returns: 108 | The base64 encoded text as a string 109 | """ 110 | # Convert text to bytes and encode 111 | text_bytes = text.encode("utf-8") 112 | encoded_bytes = base64.b64encode(text_bytes) 113 | return encoded_bytes.decode("utf-8") 114 | 115 | 116 | # List of available tools 117 | tools = [ 118 | caesar_shift_decode, 119 | base64_decode, 120 | caesar_shift_encode, 121 | base64_encode, 122 | ] 123 | 124 | model = init_chat_model("gemini-2.0-flash", model_provider="google_genai") 125 | code_act = create_codeact( 126 | model, 127 | tools, 128 | eval, 129 | prompt=create_default_prompt( 130 | tools, 131 | "Once you have the final answer, respond to the user with plain text, do not respond with a code snippet.", 132 | ), 133 | ) 134 | agent = code_act.compile(checkpointer=MemorySaver()) 135 | 136 | if __name__ == "__main__": 137 | 138 | def stream_from_agent(messages: list[dict], config: RunnableConfig): 139 | for typ, chunk in agent.stream( 140 | {"messages": messages}, 141 | stream_mode=["values", "messages"], 142 | config=config, 143 | ): 144 | if typ == "messages": 145 | print(chunk[0].content, end="") 146 | elif typ == "values": 147 | print("\n\n---answer---\n\n", chunk) 148 | 149 | # first turn 150 | config = {"configurable": {"thread_id": 1}} 151 | stream_from_agent( 152 | [ 153 | { 154 | "role": "user", 155 | "content": "Decipher this text: 'VGhybCB6dnRsYW9wdW4gZHZ1a2x5bWJz'", 156 | } 157 | ], 158 | config, 159 | ) 160 | 161 | # second turn 162 | stream_from_agent( 163 | [ 164 | { 165 | "role": "user", 166 | "content": "Using the same cipher as the original text, encode this text: 'The work is mysterious and important'", 167 | } 168 | ], 169 | config, 170 | ) 171 | -------------------------------------------------------------------------------- /examples/pyodide_sandbox_example.py: -------------------------------------------------------------------------------- 1 | # pip install langgraph-codeact "langchain[anthropic]" 2 | import asyncio 3 | import inspect 4 | from typing import Any 5 | 6 | from langchain.chat_models import init_chat_model 7 | from langchain_sandbox import PyodideSandbox 8 | from langgraph.checkpoint.memory import MemorySaver 9 | 10 | from langgraph_codeact import EvalCoroutine, create_codeact 11 | 12 | 13 | def create_pyodide_eval_fn(sandbox: PyodideSandbox) -> EvalCoroutine: 14 | """Create an eval_fn that uses PyodideSandbox. 15 | """ 16 | 17 | async def async_eval_fn( 18 | code: str, _locals: dict[str, Any] 19 | ) -> tuple[str, dict[str, Any]]: 20 | # Create a wrapper function that will execute the code and return locals 21 | wrapper_code = f""" 22 | def execute(): 23 | try: 24 | # Execute the provided code 25 | {chr(10).join(" " + line for line in code.strip().split(chr(10)))} 26 | return locals() 27 | except Exception as e: 28 | return {{"error": str(e)}} 29 | 30 | execute() 31 | """ 32 | # Convert functions in _locals to their string representation 33 | context_setup = "" 34 | for key, value in _locals.items(): 35 | if callable(value): 36 | # Get the function's source code 37 | src = inspect.getsource(value) 38 | context_setup += f"\n{src}" 39 | else: 40 | context_setup += f"\n{key} = {repr(value)}" 41 | 42 | try: 43 | # Execute the code and get the result 44 | response = await sandbox.execute( 45 | code=context_setup + "\n\n" + wrapper_code, 46 | ) 47 | 48 | # Check if execution was successful 49 | if response.stderr: 50 | return f"Error during execution: {response.stderr}", {} 51 | 52 | # Get the output from stdout 53 | output = ( 54 | response.stdout 55 | if response.stdout 56 | else "" 57 | ) 58 | result = response.result 59 | 60 | # If there was an error in the result, return it 61 | if isinstance(result, dict) and "error" in result: 62 | return f"Error during execution: {result['error']}", {} 63 | 64 | # Get the new variables by comparing with original locals 65 | new_vars = { 66 | k: v 67 | for k, v in result.items() 68 | if k not in _locals and not k.startswith("_") 69 | } 70 | return output, new_vars 71 | 72 | except Exception as e: 73 | return f"Error during PyodideSandbox execution: {repr(e)}", {} 74 | 75 | return async_eval_fn 76 | 77 | 78 | def add(a: float, b: float) -> float: 79 | """Add two numbers together.""" 80 | return a + b 81 | 82 | 83 | def multiply(a: float, b: float) -> float: 84 | """Multiply two numbers together.""" 85 | return a * b 86 | 87 | 88 | def divide(a: float, b: float) -> float: 89 | """Divide two numbers.""" 90 | return a / b 91 | 92 | 93 | def subtract(a: float, b: float) -> float: 94 | """Subtract two numbers.""" 95 | return a - b 96 | 97 | 98 | def sin(a: float) -> float: 99 | """Take the sine of a number.""" 100 | import math 101 | 102 | return math.sin(a) 103 | 104 | 105 | def cos(a: float) -> float: 106 | """Take the cosine of a number.""" 107 | import math 108 | 109 | return math.cos(a) 110 | 111 | 112 | def radians(a: float) -> float: 113 | """Convert degrees to radians.""" 114 | import math 115 | 116 | return math.radians(a) 117 | 118 | 119 | def exponentiation(a: float, b: float) -> float: 120 | """Raise one number to the power of another.""" 121 | return a**b 122 | 123 | 124 | def sqrt(a: float) -> float: 125 | """Take the square root of a number.""" 126 | import math 127 | 128 | return math.sqrt(a) 129 | 130 | 131 | def ceil(a: float) -> float: 132 | """Round a number up to the nearest integer.""" 133 | import math 134 | 135 | return math.ceil(a) 136 | 137 | 138 | tools = [ 139 | add, 140 | multiply, 141 | divide, 142 | subtract, 143 | sin, 144 | cos, 145 | radians, 146 | exponentiation, 147 | sqrt, 148 | ceil, 149 | ] 150 | 151 | model = init_chat_model("claude-3-7-sonnet-latest", model_provider="anthropic") 152 | 153 | sandbox = PyodideSandbox(allow_net=True) 154 | eval_fn = create_pyodide_eval_fn(sandbox) 155 | code_act = create_codeact(model, tools, eval_fn) 156 | agent = code_act.compile(checkpointer=MemorySaver()) 157 | 158 | query = """A batter hits a baseball at 45.847 m/s at an angle of 23.474° above the horizontal. The outfielder, who starts facing the batter, picks up the baseball as it lands, then throws it back towards the batter at 24.12 m/s at an angle of 39.12 degrees. How far is the baseball from where the batter originally hit it? Assume zero air resistance.""" 159 | 160 | 161 | async def run_agent(query: str, thread_id: str): 162 | config = {"configurable": {"thread_id": thread_id}} 163 | # Stream agent outputs 164 | async for typ, chunk in agent.astream( 165 | {"messages": query}, 166 | stream_mode=["values", "messages"], 167 | config=config, 168 | ): 169 | if typ == "messages": 170 | print(chunk[0].content, end="") 171 | elif typ == "values": 172 | print("\n\n---answer---\n\n", chunk) 173 | 174 | 175 | if __name__ == "__main__": 176 | # Run the agent 177 | asyncio.run(run_agent(query, "1")) 178 | -------------------------------------------------------------------------------- /langgraph_codeact/__init__.py: -------------------------------------------------------------------------------- 1 | import inspect 2 | from typing import Any, Awaitable, Callable, Optional, Sequence, Type, TypeVar, Union 3 | 4 | from langchain_core.language_models import BaseChatModel 5 | from langchain_core.tools import StructuredTool 6 | from langchain_core.tools import tool as create_tool 7 | from langgraph.graph import END, START, MessagesState, StateGraph 8 | from langgraph.types import Command 9 | 10 | from langgraph_codeact.utils import extract_and_combine_codeblocks 11 | 12 | EvalFunction = Callable[[str, dict[str, Any]], tuple[str, dict[str, Any]]] 13 | EvalCoroutine = Callable[[str, dict[str, Any]], Awaitable[tuple[str, dict[str, Any]]]] 14 | 15 | 16 | class CodeActState(MessagesState): 17 | """State for CodeAct agent.""" 18 | 19 | script: Optional[str] 20 | """The Python code script to be executed.""" 21 | context: dict[str, Any] 22 | """Dictionary containing the execution context with available tools and variables.""" 23 | 24 | 25 | StateSchema = TypeVar("StateSchema", bound=CodeActState) 26 | StateSchemaType = Type[StateSchema] 27 | 28 | 29 | def create_default_prompt(tools: list[StructuredTool], base_prompt: Optional[str] = None): 30 | """Create default prompt for the CodeAct agent.""" 31 | tools = [t if isinstance(t, StructuredTool) else create_tool(t) for t in tools] 32 | prompt = f"{base_prompt}\n\n" if base_prompt else "" 33 | prompt += """You will be given a task to perform. You should output either 34 | - a Python code snippet that provides the solution to the task, or a step towards the solution. Any output you want to extract from the code should be printed to the console. Code should be output in a fenced code block. 35 | - text to be shown directly to the user, if you want to ask for more information or provide the final answer. 36 | 37 | In addition to the Python Standard Library, you can use the following functions: 38 | """ 39 | 40 | for tool in tools: 41 | prompt += f''' 42 | def {tool.name}{str(inspect.signature(tool.func))}: 43 | """{tool.description}""" 44 | ... 45 | ''' 46 | 47 | prompt += """ 48 | 49 | Variables defined at the top level of previous code snippets can be referenced in your code. 50 | 51 | Reminder: use Python code snippets to call tools""" 52 | return prompt 53 | 54 | 55 | def create_codeact( 56 | model: BaseChatModel, 57 | tools: Sequence[Union[StructuredTool, Callable]], 58 | eval_fn: Union[EvalFunction, EvalCoroutine], 59 | *, 60 | prompt: Optional[str] = None, 61 | state_schema: StateSchemaType = CodeActState, 62 | ) -> StateGraph: 63 | """Create a CodeAct agent. 64 | 65 | Args: 66 | model: The language model to use for generating code 67 | tools: List of tools available to the agent. Can be passed as python functions or StructuredTool instances. 68 | eval_fn: Function or coroutine that executes code in a sandbox. Takes code string and locals dict, 69 | returns a tuple of (stdout output, new variables dict) 70 | prompt: Optional custom system prompt. If None, uses default prompt. 71 | To customize default prompt you can use `create_default_prompt` helper: 72 | `create_default_prompt(tools, "You are a helpful assistant.")` 73 | state_schema: The state schema to use for the agent. 74 | 75 | Returns: 76 | A StateGraph implementing the CodeAct architecture 77 | """ 78 | tools = [t if isinstance(t, StructuredTool) else create_tool(t) for t in tools] 79 | 80 | if prompt is None: 81 | prompt = create_default_prompt(tools) 82 | 83 | # Make tools available to the code sandbox 84 | tools_context = {tool.name: tool.func for tool in tools} 85 | 86 | def call_model(state: StateSchema) -> Command: 87 | messages = [{"role": "system", "content": prompt}] + state["messages"] 88 | response = model.invoke(messages) 89 | # Extract and combine all code blocks 90 | code = extract_and_combine_codeblocks(response.content) 91 | if code: 92 | return Command(goto="sandbox", update={"messages": [response], "script": code}) 93 | else: 94 | # no code block, end the loop and respond to the user 95 | return Command(update={"messages": [response], "script": None}) 96 | 97 | # If eval_fn is a async, we define async node function. 98 | if inspect.iscoroutinefunction(eval_fn): 99 | 100 | async def sandbox(state: StateSchema): 101 | existing_context = state.get("context", {}) 102 | context = {**existing_context, **tools_context} 103 | # Execute the script in the sandbox 104 | output, new_vars = await eval_fn(state["script"], context) 105 | new_context = {**existing_context, **new_vars} 106 | return { 107 | "messages": [{"role": "user", "content": output}], 108 | "context": new_context, 109 | } 110 | else: 111 | 112 | def sandbox(state: StateSchema): 113 | existing_context = state.get("context", {}) 114 | context = {**existing_context, **tools_context} 115 | # Execute the script in the sandbox 116 | output, new_vars = eval_fn(state["script"], context) 117 | new_context = {**existing_context, **new_vars} 118 | return { 119 | "messages": [{"role": "user", "content": output}], 120 | "context": new_context, 121 | } 122 | 123 | agent = StateGraph(state_schema) 124 | agent.add_node(call_model, destinations=(END, "sandbox")) 125 | agent.add_node(sandbox) 126 | agent.add_edge(START, "call_model") 127 | agent.add_edge("sandbox", "call_model") 128 | return agent 129 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # langgraph-codeact 2 | 3 | This library implements the [CodeAct architecture](https://arxiv.org/abs/2402.01030) in LangGraph. This is the architecture is used by [Manus.im](https://manus.im/). It implements an alternative to JSON function-calling, which enables solving more complex tasks in less steps. This is achieved by making use of the full power of a Turing complete programming language (such as Python used here) to combine and transform the outputs of multiple tools. 4 | 5 | ## Features 6 | 7 | - Message history is saved between turns, to support follow-up questions 8 | - Python variables are saved between turns, which enables more advanced follow-up questions 9 | - Use .invoke() to get just the final result, or .stream() to get token-by-token output, see example below 10 | - You can use any custom tools you wrote, any LangChain tools, or any MCP tools 11 | - You can use this with any model supported by LangChain (but we've only tested with Claude 3.7 so far) 12 | - You can bring your own code sandbox, with a simple functional API 13 | - The system message is customizable 14 | 15 | ## Installation 16 | 17 | ```bash 18 | pip install langgraph-codeact 19 | ``` 20 | 21 | To run the example install also 22 | 23 | ```bash 24 | pip install langchain langchain-anthropic 25 | ``` 26 | 27 | ## Example 28 | 29 | A full version of this in one file can be found [here](examples/math_example.py) 30 | 31 | ### 1. Define your tools 32 | 33 | You can use any tools you want, including custom tools, LangChain tools, or MCP tools. In this example, we define a few simple math functions. 34 | 35 | ```py 36 | import math 37 | 38 | from langchain_core.tools import tool 39 | 40 | def add(a: float, b: float) -> float: 41 | """Add two numbers together.""" 42 | return a + b 43 | 44 | def multiply(a: float, b: float) -> float: 45 | """Multiply two numbers together.""" 46 | return a * b 47 | 48 | def divide(a: float, b: float) -> float: 49 | """Divide two numbers.""" 50 | return a / b 51 | 52 | def subtract(a: float, b: float) -> float: 53 | """Subtract two numbers.""" 54 | return a - b 55 | 56 | def sin(a: float) -> float: 57 | """Take the sine of a number.""" 58 | return math.sin(a) 59 | 60 | def cos(a: float) -> float: 61 | """Take the cosine of a number.""" 62 | return math.cos(a) 63 | 64 | def radians(a: float) -> float: 65 | """Convert degrees to radians.""" 66 | return math.radians(a) 67 | 68 | def exponentiation(a: float, b: float) -> float: 69 | """Raise one number to the power of another.""" 70 | return a**b 71 | 72 | def sqrt(a: float) -> float: 73 | """Take the square root of a number.""" 74 | return math.sqrt(a) 75 | 76 | def ceil(a: float) -> float: 77 | """Round a number up to the nearest integer.""" 78 | return math.ceil(a) 79 | 80 | tools = [ 81 | add, 82 | multiply, 83 | divide, 84 | subtract, 85 | sin, 86 | cos, 87 | radians, 88 | exponentiation, 89 | sqrt, 90 | ceil, 91 | ] 92 | ``` 93 | 94 | ### 2. Bring-your-own code sandbox 95 | 96 | You can use any code sandbox you want, pass it in as a function which accepts two arguments 97 | 98 | - the string of code to run 99 | - the dictionary of locals to run it in (includes the tools, and any variables you set in the previous turns) 100 | 101 | > [!Warning] 102 | > Use a sandboxed environment in production! The `eval` function below is just for demonstration purposes, not safe! 103 | > See example of using a secure [LangChain Sandbox](https://github.com/langchain-ai/langchain-sandbox) [here](examples/pyodide_sandbox_example.py) 104 | 105 | ```py 106 | import builtins 107 | import contextlib 108 | import io 109 | from typing import Any 110 | 111 | 112 | def eval(code: str, _locals: dict[str, Any]) -> tuple[str, dict[str, Any]]: 113 | # Store original keys before execution 114 | original_keys = set(_locals.keys()) 115 | 116 | try: 117 | with contextlib.redirect_stdout(io.StringIO()) as f: 118 | exec(code, builtins.__dict__, _locals) 119 | result = f.getvalue() 120 | if not result: 121 | result = "" 122 | except Exception as e: 123 | result = f"Error during execution: {repr(e)}" 124 | 125 | # Determine new variables created during execution 126 | new_keys = set(_locals.keys()) - original_keys 127 | new_vars = {key: _locals[key] for key in new_keys} 128 | return result, new_vars 129 | ``` 130 | 131 | ### 3. Create the CodeAct graph 132 | 133 | You can also customize the prompt, through the prompt= argument. 134 | 135 | ```py 136 | from langchain.chat_models import init_chat_model 137 | from langgraph_codeact import create_codeact 138 | from langgraph.checkpoint.memory import MemorySaver 139 | 140 | model = init_chat_model("claude-3-7-sonnet-latest", model_provider="anthropic") 141 | 142 | code_act = create_codeact(model, tools, eval) 143 | agent = code_act.compile(checkpointer=MemorySaver()) 144 | ``` 145 | 146 | ### 4. Run it! 147 | 148 | You can use the `.invoke()` method to get the final result, or the `.stream()` method to get token-by-token output. 149 | 150 | ```py 151 | 152 | messages = [{ 153 | "role": "user", 154 | "content": "A batter hits a baseball at 45.847 m/s at an angle of 23.474° above the horizontal. The outfielder, who starts facing the batter, picks up the baseball as it lands, then throws it back towards the batter at 24.12 m/s at an angle of 39.12 degrees. How far is the baseball from where the batter originally hit it? Assume zero air resistance." 155 | }] 156 | for typ, chunk in agent.stream( 157 | {"messages": messages}, 158 | stream_mode=["values", "messages"], 159 | config={"configurable": {"thread_id": 1}}, 160 | ): 161 | if typ == "messages": 162 | print(chunk[0].content, end="") 163 | elif typ == "values": 164 | print("\n\n---answer---\n\n", chunk) 165 | ``` 166 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand. 2 | 3 | [[package]] 4 | name = "annotated-types" 5 | version = "0.7.0" 6 | description = "Reusable constraint types to use with typing.Annotated" 7 | optional = false 8 | python-versions = ">=3.8" 9 | groups = ["main", "dev"] 10 | files = [ 11 | {file = "annotated_types-0.7.0-py3-none-any.whl", hash = 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