├── .codespellignore ├── .env.example ├── .gitignore ├── .vscode └── settings.json ├── LICENSE ├── Makefile ├── README.md ├── langgraph.json ├── poetry.lock ├── pyproject.toml ├── src └── agent │ ├── __init__.py │ ├── graph.py │ └── state.py └── static ├── agent_inbox_view.png ├── interrupted_item.png └── studio_thread_result.png /.codespellignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/langchain-ai/agent-inbox-langgraph-example/f56c3326c7cc6652e56431240b669e5ca4c72f96/.codespellignore -------------------------------------------------------------------------------- /.env.example: -------------------------------------------------------------------------------- 1 | # To separate your traces from other application 2 | LANGSMITH_PROJECT=new-agent 3 | 4 | # The following depend on your selected configuration 5 | 6 | ## LLM choice: 7 | ANTHROPIC_API_KEY=.... 8 | FIREWORKS_API_KEY=... 9 | OPENAI_API_KEY=... 10 | -------------------------------------------------------------------------------- /.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 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 110 | .pdm.toml 111 | .pdm-python 112 | .pdm-build/ 113 | 114 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 115 | __pypackages__/ 116 | 117 | # Celery stuff 118 | celerybeat-schedule 119 | celerybeat.pid 120 | 121 | # SageMath parsed files 122 | *.sage.py 123 | 124 | # Environments 125 | .env 126 | .venv 127 | env/ 128 | venv/ 129 | ENV/ 130 | env.bak/ 131 | venv.bak/ 132 | 133 | # Spyder project settings 134 | .spyderproject 135 | .spyproject 136 | 137 | # Rope project settings 138 | .ropeproject 139 | 140 | # mkdocs documentation 141 | /site 142 | 143 | # mypy 144 | .mypy_cache/ 145 | .dmypy.json 146 | dmypy.json 147 | 148 | # Pyre type checker 149 | .pyre/ 150 | 151 | # pytype static type analyzer 152 | .pytype/ 153 | 154 | # Cython debug symbols 155 | cython_debug/ 156 | 157 | # PyCharm 158 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 159 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 160 | # and can be added to the global gitignore or merged into this file. For a more nuclear 161 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 162 | #.idea/ 163 | uv.lock 164 | 165 | .langgraph_api/* -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.languageServer": "None" 3 | } -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 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 | -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 1 | .PHONY: all format lint test tests test_watch integration_tests docker_tests help extended_tests 2 | 3 | # Default target executed when no arguments are given to make. 4 | all: help 5 | 6 | # Define a variable for the test file path. 7 | TEST_FILE ?= tests/unit_tests/ 8 | 9 | test: 10 | python -m pytest $(TEST_FILE) 11 | 12 | integration_tests: 13 | python -m pytest tests/integration_tests 14 | 15 | test_watch: 16 | python -m ptw --snapshot-update --now . -- -vv tests/unit_tests 17 | 18 | test_profile: 19 | python -m pytest -vv tests/unit_tests/ --profile-svg 20 | 21 | extended_tests: 22 | python -m pytest --only-extended $(TEST_FILE) 23 | 24 | 25 | ###################### 26 | # LINTING AND FORMATTING 27 | ###################### 28 | 29 | # Define a variable for Python and notebook files. 30 | PYTHON_FILES=src/ 31 | MYPY_CACHE=.mypy_cache 32 | lint format: PYTHON_FILES=. 33 | lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$|\.ipynb$$') 34 | lint_package: PYTHON_FILES=src 35 | lint_tests: PYTHON_FILES=tests 36 | lint_tests: MYPY_CACHE=.mypy_cache_test 37 | 38 | lint lint_diff lint_package lint_tests: 39 | python -m ruff check . 40 | [ "$(PYTHON_FILES)" = "" ] || python -m ruff format $(PYTHON_FILES) --diff 41 | [ "$(PYTHON_FILES)" = "" ] || python -m ruff check --select I $(PYTHON_FILES) 42 | [ "$(PYTHON_FILES)" = "" ] || python -m mypy --strict $(PYTHON_FILES) 43 | [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && python -m mypy --strict $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) 44 | 45 | format format_diff: 46 | ruff format $(PYTHON_FILES) 47 | ruff check --select I --fix $(PYTHON_FILES) 48 | 49 | spell_check: 50 | codespell --toml pyproject.toml 51 | 52 | spell_fix: 53 | codespell --toml pyproject.toml -w 54 | 55 | ###################### 56 | # HELP 57 | ###################### 58 | 59 | help: 60 | @echo '----' 61 | @echo 'format - run code formatters' 62 | @echo 'lint - run linters' 63 | @echo 'test - run unit tests' 64 | @echo 'tests - run unit tests' 65 | @echo 'test TEST_FILE= - run all tests in file' 66 | @echo 'test_watch - run unit tests in watch mode' 67 | 68 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Agent Inbox LangGraph Example 2 | 3 | The repository contains a bare minimum code example to get started with the Agent Inbox with LangGraph. 4 | 5 | > [!TIP] 6 | > Looking for the TypeScript version of this example repository? Click [here](https://github.com/langchain-ai/agent-inbox-langgraphjs-example) 7 | 8 | ## Getting Started 9 | 10 | To get started, clone the repository: 11 | 12 | ```bash 13 | git clone https://github.com/langchain-ai/agent-inbox-langgraph-example.git 14 | ``` 15 | 16 | ```bash 17 | cd agent-inbox-langgraph-example 18 | ``` 19 | 20 | Then, install the dependencies: 21 | 22 | ```bash 23 | poetry install 24 | ``` 25 | 26 | Next, install the [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/) if not already installed. We're installing the in-memory version so we can run the LangGraph server without Docker. 27 | 28 | ```bash 29 | pip install -U "langgraph-cli[inmem]" 30 | ``` 31 | 32 | After this, we can start the LangGraph server: 33 | 34 | ```bash 35 | langgraph dev 36 | ``` 37 | 38 | This may take a second to start. Once the server is running, it should open a new browser tab to the LangGraph Studio through LangSmith. If this does not happen automatically, visit this URL: 39 | [https://smith.langchain.com/studio/thread?baseUrl=http%3A%2F%2F127.0.0.1%3A2024](https://smith.langchain.com/studio/thread?baseUrl=http%3A%2F%2F127.0.0.1%3A2024) 40 | 41 | Now that our LangGraph server is running, we can start a new run in the Studio. To do this, simply enter any string into the `Interrupt Response` field, then click the `Submit` button. This will execute the graph, and interrupt on the `human_node`. Once the graph has interrupted, we can visit the Agent Inbox site to add your graph, and manage the interrupted thread. 42 | 43 | ## Agent Inbox Setup 44 | 45 | Visit [`dev.agentinbox.ai`](https://dev.agentinbox.ai). If it's your first time visiting the site, you'll be prompted to add a new graph. 46 | 47 | Enter the following fields into the form: 48 | 49 | - Graph/Assistant ID: `agent` - this corresponds to the ID of the graph defined in the [`langgraph.json`](./langgraph.json) file, or the ID of an assistant tied to your graph. 50 | - Deployment URL: `http://127.0.0.1:2024` - this is the URL of the LangGraph server running locally. 51 | - Name: `My Agent` - this is the optional name of the graph. You can set this to any value you want, or leave it empty and it'll be auto-assigned. 52 | 53 | Click `Submit` and watch your graph appear in the sidebar. This should automatically fetch the interrupted threads, but if it does not, click on the sidebar item & refresh the page. Once you've done this, you should see a single interrupted item in the table: 54 | 55 | ![Screenshot of the Agent Inbox](./static/agent_inbox_view.png) 56 | 57 | Click on this row, and you'll be taken to the interrupted item page. From here, you can respond in any way you'd like: 58 | 59 | - Accept 60 | - Edit 61 | - Respond 62 | - Ignore 63 | 64 | ![Screenshot of an interrupted item in the Agent Inbox](./static/interrupted_item.png) 65 | 66 | Once you take an action, the graph will resume the execution and end. The final state returned from the graph will be a string containing the type of action which was taken, and the value of the action args (unless `ignore` was chosen). 67 | 68 | To view the result of the graph, go back to the LangGraph Studio and inspect the most recent thread results. 69 | 70 | ![Screenshot of the most recent thread results LangGraph Studio](./static/studio_thread_result.png) 71 | 72 | ## Go Deeper 73 | 74 | If you'd like to go deeper, you can: 75 | 76 | - Checkout the Agent Inbox docs, and codebase here: [github.com/langchain-ai/agent-inbox](https://github.com/langchain-ai/agent-inbox) 77 | - See an open source Executive AI Assistant here: [github.com/langchain-ai/executive-ai-assistant](https://github.com/langchain-ai/executive-ai-assistant) 78 | - See an open source Social Media Agent here: [github.com/langchain-ai/social-media-agent](https://github.com/langchain-ai/social-media-agent) 79 | 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| packages = [ 9 | { include = "agent", from = "src" } 10 | ] 11 | 12 | [tool.poetry.dependencies] 13 | python = ">=3.11,<4.0.0" 14 | langgraph = ">=0.2.67" 15 | python-dotenv = ">=1.0.1" 16 | langgraph-sdk = ">=0.1.51" 17 | pytest = "^8.3.4" 18 | 19 | [tool.poetry.group.dev.dependencies] 20 | mypy = ">=1.11.1" 21 | ruff = ">=0.6.1" 22 | 23 | [build-system] 24 | requires = ["poetry-core"] 25 | build-backend = "poetry.core.masonry.api" 26 | 27 | [tool.ruff] 28 | lint.select = [ 29 | "E", # pycodestyle 30 | "F", # pyflakes 31 | "I", # isort 32 | "D", # pydocstyle 33 | "D401", # First line should be in imperative mood 34 | "T201", 35 | "UP", 36 | ] 37 | lint.ignore = [ 38 | "UP006", 39 | "UP007", 40 | # We actually do want to import from typing_extensions 41 | "UP035", 42 | # Relax the convention by _not_ requiring documentation for every function parameter. 43 | "D417", 44 | "E501", 45 | ] 46 | [tool.ruff.lint.per-file-ignores] 47 | "tests/*" = ["D", "UP"] 48 | [tool.ruff.lint.pydocstyle] 49 | convention = "google" 50 | -------------------------------------------------------------------------------- /src/agent/__init__.py: -------------------------------------------------------------------------------- 1 | """New LangGraph Agent. 2 | 3 | This module defines a custom graph. 4 | """ 5 | 6 | from agent.graph import graph 7 | 8 | __all__ = ["graph"] 9 | -------------------------------------------------------------------------------- /src/agent/graph.py: -------------------------------------------------------------------------------- 1 | """Module for defining the agent's workflow graph and human interaction nodes.""" 2 | 3 | from typing import Any, Dict 4 | 5 | from langchain_core.runnables import RunnableConfig 6 | from langgraph.graph import StateGraph 7 | from langgraph.prebuilt.interrupt import ( 8 | ActionRequest, 9 | HumanInterrupt, 10 | HumanInterruptConfig, 11 | HumanResponse, 12 | ) 13 | from langgraph.types import interrupt 14 | 15 | from agent.state import State 16 | 17 | 18 | async def human_node(state: State, config: RunnableConfig) -> Dict[str, Any]: 19 | """Call the interrupt function to pause the graph and handle user interaction. 20 | 21 | Once resumed, it will log the type of action which was returned from 22 | the interrupt function. 23 | """ 24 | # Define the interrupt request 25 | action_request = ActionRequest( 26 | action="Confirm Joke", 27 | args={"joke": "What did the engineer say to the manager?"}, 28 | ) 29 | 30 | interrupt_config = HumanInterruptConfig( 31 | allow_ignore=True, # Allow the user to `ignore` the interrupt. 32 | allow_respond=True, # Allow the user to `respond` to the interrupt. 33 | allow_edit=True, # Allow the user to `edit` the interrupt's args. 34 | allow_accept=True, # Allow the user to `accept` the interrupt's args. 35 | ) 36 | 37 | # The description will be rendered as markdown in the UI, so you may use markdown syntax. 38 | description = ( 39 | "# Confirm Joke\n" 40 | + "Please carefully example the joke, and decide if you want to accept, edit, or ignore the joke." 41 | + "If you accept, the joke will be added to the conversation." 42 | + "If you edit and submit, the edited joke will be added to the conversation." 43 | + "If you ignore, the conversation will continue without adding the joke." 44 | + "If you respond, the response will be used to generate a new joke." 45 | ) 46 | 47 | request = HumanInterrupt( 48 | action_request=action_request, config=interrupt_config, description=description 49 | ) 50 | 51 | human_response: HumanResponse = interrupt([request])[0] 52 | 53 | if human_response.get("type") == "response": 54 | message = f"User responded with: {human_response.get('args')}" 55 | return {"interrupt_response": message} 56 | elif human_response.get("type") == "accept": 57 | message = f"User accepted with: {human_response.get('args')}" 58 | return {"interrupt_response": message} 59 | elif human_response.get("type") == "edit": 60 | message = f"User edited with: {human_response.get('args')}" 61 | return {"interrupt_response": message} 62 | elif human_response.get("type") == "ignore": 63 | message = "User ignored interrupt." 64 | return {"interrupt_response": message} 65 | 66 | return { 67 | "interrupt_response": "Unknown interrupt response type: " + str(human_response) 68 | } 69 | 70 | 71 | # Define a new graph 72 | workflow = StateGraph(State) 73 | 74 | # Add the node to the graph. This node will interrupt when it is invoked. 75 | workflow.add_node("human_node", human_node) 76 | 77 | # Set the entrypoint as `human_node` so the first node will interrupt 78 | workflow.add_edge("__start__", "human_node") 79 | 80 | # Compile the workflow into an executable graph 81 | graph = workflow.compile() 82 | graph.name = "Agent Inbox Example" # This defines the custom name in LangSmith 83 | -------------------------------------------------------------------------------- /src/agent/state.py: -------------------------------------------------------------------------------- 1 | """State module for managing agent state.""" 2 | 3 | from __future__ import annotations 4 | 5 | from dataclasses import dataclass 6 | 7 | 8 | @dataclass 9 | class State: 10 | """Class representing the state of the agent interaction.""" 11 | 12 | interrupt_response: str = "example" 13 | -------------------------------------------------------------------------------- /static/agent_inbox_view.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/langchain-ai/agent-inbox-langgraph-example/f56c3326c7cc6652e56431240b669e5ca4c72f96/static/agent_inbox_view.png -------------------------------------------------------------------------------- /static/interrupted_item.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/langchain-ai/agent-inbox-langgraph-example/f56c3326c7cc6652e56431240b669e5ca4c72f96/static/interrupted_item.png -------------------------------------------------------------------------------- /static/studio_thread_result.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/langchain-ai/agent-inbox-langgraph-example/f56c3326c7cc6652e56431240b669e5ca4c72f96/static/studio_thread_result.png --------------------------------------------------------------------------------