very hacky approach for add_messages in the short term

lock prerelease
attempt fixes
2026-08-18 21:55:46 +02:00 · 2025-08-06 16:53:30 -04:00 · 2025-08-06 15:12:41 -04:00 · 2025-08-06 15:11:39 -04:00 · 2025-08-06 14:58:02 -04:00 · 2025-08-06 14:52:11 -04:00
38 changed files with 2727 additions and 1578 deletions
@@ -14,6 +14,7 @@ permissions:
 env:
  # This env var allows us to get inline annotations when ruff has complaints.
  RUFF_OUTPUT_FORMAT: github
+  UV_PRERELEASE: allow

 jobs:
  build:
@@ -11,6 +11,9 @@ on:
 permissions:
  contents: read

+env:
+  UV_PRERELEASE: allow
+
 jobs:
  build:
    runs-on: ubuntu-latest
@@ -10,6 +10,9 @@ on:
 permissions:
  contents: read

+env:
+  UV_PRERELEASE: allow
+
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.
 #
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@@ -313,7 +322,7 @@ dependencies = [

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=0.2.38" },
+    { name = "langchain-core", specifier = ">=0.2.38,<1.0.0" },
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@@ -381,7 +390,7 @@ dev = [

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@@ -1238,15 +1255,15 @@ wheels = [

 [[package]]
 name = "starlette"
-version = "0.47.1"
+version = "0.47.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "anyio", marker = "python_full_version >= '3.11'" },
    { name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.13'" },
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-sdist = { url = "https://files.pythonhosted.org/packages/0a/69/662169fdb92fb96ec3eaee218cf540a629d629c86d7993d9651226a6789b/starlette-0.47.1.tar.gz", hash = "sha256:aef012dd2b6be325ffa16698f9dc533614fb1cebd593a906b90dc1025529a79b", size = 2583072, upload-time = "2025-06-21T04:03:17.337Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/57/d062573f391d062710d4088fa1369428c38d51460ab6fedff920efef932e/starlette-0.47.2.tar.gz", hash = "sha256:6ae9aa5db235e4846decc1e7b79c4f346adf41e9777aebeb49dfd09bbd7023d8", size = 2583948, upload-time = "2025-07-20T17:31:58.522Z" }
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+    { url = "https://files.pythonhosted.org/packages/f7/1f/b876b1f83aef204198a42dc101613fefccb32258e5428b5f9259677864b4/starlette-0.47.2-py3-none-any.whl", hash = "sha256:c5847e96134e5c5371ee9fac6fdf1a67336d5815e09eb2a01fdb57a351ef915b", size = 72984, upload-time = "2025-07-20T17:31:56.738Z" },
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@@ -1308,11 +1325,11 @@ wheels = [

 [[package]]
 name = "truststore"
-version = "0.10.1"
+version = "0.10.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0f/a7/b7a43228762966a13598a404f3dfb4803ea29a906f449d8b0e73ed0bcd30/truststore-0.10.1.tar.gz", hash = "sha256:eda021616b59021812e800fa0a071e51b266721bef3ce092db8a699e21c63539", size = 26101, upload-time = "2025-02-07T18:57:38.201Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/19/d90d35e584f58bac270beee003dd93b664335c0b9074b03b8604c6ea36ec/truststore-0.10.3.tar.gz", hash = "sha256:16ff5f6faf692acca470f9b92e66b4c0faccb9b702d0b0486d3d465932b6b3b1", size = 26214, upload-time = "2025-07-29T19:05:31.67Z" }
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+    { url = "https://files.pythonhosted.org/packages/2e/49/184050dc32c6ae6a1ef4ebd16ab5128483c02fa1e686d5559df0ba1c08b2/truststore-0.10.3-py3-none-any.whl", hash = "sha256:5bcc0889390f7b69e56be3df02f4912cfbb5a8bdb77a63fdcacb91049707879b", size = 18649, upload-time = "2025-07-29T19:05:30.414Z" },
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 [[package]]
@@ -22,6 +22,7 @@ from langchain_core.messages import (
    convert_to_messages,
    message_chunk_to_message,
 )
+from langchain_core.messages.utils import convert_to_messages_v1
 from typing_extensions import TypedDict, deprecated

 from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, NS_SEP
@@ -64,6 +65,7 @@ def add_messages(
    right: Messages,
    *,
    format: Literal["langchain-openai"] | None = None,
+    message_version: Literal["v0", "v1"] = "v0",
 ) -> Messages:
    """Merges two lists of messages, updating existing messages by ID.

@@ -83,6 +85,8 @@ def add_messages(
            !!! important "Requirement"

                Must have ``langchain-core>=0.3.11`` installed to use this feature.
+        message_version: The version of the message to return. If "v0" then messages will be returned as is.
+        If "v1" then messages will be returned as members of MessageV1.

    Returns:
        A new list of messages with the messages from `right` merged into `left`.
@@ -174,6 +178,7 @@ def add_messages(
        ```

    """
+
    remove_all_idx = None
    # coerce to list
    if not isinstance(left, list):
@@ -231,6 +236,9 @@ def add_messages(
    else:
        pass

+    if message_version == "v1":
+        merged = convert_to_messages_v1(merged)
+
    return merged


@@ -3,7 +3,8 @@ from __future__ import annotations
 from typing import Any, Literal, Union, cast
 from uuid import uuid4

-from langchain_core.messages import AnyMessage
+from langchain_core.messages import AnyMessage as MessageV0
+from langchain_core.v1.messages import MessageV1 as MessageV1
 from typing_extensions import TypedDict

 from langgraph.config import get_config, get_stream_writer
@@ -64,7 +65,7 @@ def push_ui_message(
    *,
    id: str | None = None,
    metadata: dict[str, Any] | None = None,
-    message: AnyMessage | None = None,
+    message: MessageV0 | MessageV1 | None = None,
    state_key: str | None = "ui",
    merge: bool = False,
 ) -> UIMessage:
@@ -33,13 +33,7 @@ if TYPE_CHECKING:
    from langgraph.pregel.protocol import PregelProtocol


-try:
-    from langchain_core.messages.tool import ToolOutputMixin
-except ImportError:
-
-    class ToolOutputMixin:  # type: ignore[no-redef]
-        pass
-
+from langchain_core.messages.tool import ToolOutputMixin

 __all__ = (
    "All",
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-    "langchain-core>=0.1",
+    "langchain-core>=0.1,<1.0.0",
    "langgraph-checkpoint>=2.1.0,<3.0.0",
    "langgraph-sdk>=0.2.0,<0.3.0",
    "langgraph-prebuilt>=0.6.0,<0.7.0",
@@ -0,0 +1,4 @@
+# To separate your traces from other application
+LANGSMITH_PROJECT=new-agent
+
+# Add API keys for connecting to LLM providers, data sources, and other integrations here
@@ -0,0 +1,42 @@
+# This workflow will run integration tests for the current project once per day
+
+name: Integration Tests
+
+on:
+  schedule:
+    - cron: "37 14 * * *" # Run at 7:37 AM Pacific Time (14:37 UTC) every day
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+# If another scheduled run starts while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  integration-tests:
+    name: Integration Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+          uv pip install -U pytest-asyncio
+      - name: Run integration tests
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+          LANGSMITH_TRACING: true
+        run: |
+          uv run pytest tests/integration_tests
@@ -0,0 +1,57 @@
+# This workflow will run unit tests for the current project
+
+name: CI
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+# If another push to the same PR or branch happens while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unit-tests:
+    name: Unit Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+      - name: Lint with ruff
+        run: |
+          uv pip install ruff
+          uv run ruff check .
+      - name: Lint with mypy
+        run: |
+          uv pip install mypy
+          uv run mypy --strict src/
+      - name: Check README spelling
+        uses: codespell-project/actions-codespell@v2
+        with:
+          ignore_words_file: .codespellignore
+          path: README.md
+      - name: Check code spelling
+        uses: codespell-project/actions-codespell@v2
+        with:
+          ignore_words_file: .codespellignore
+          path: src/
+      - name: Run tests with pytest
+        run: |
+          uv pip install pytest
+          uv run pytest tests/unit_tests
@@ -0,0 +1,164 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+uv.lock
+.langgraph_api/
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 LangChain
+
+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.
@@ -0,0 +1,67 @@
+.PHONY: all format lint test tests test_watch integration_tests docker_tests help extended_tests
+
+# Default target executed when no arguments are given to make.
+all: help
+
+# Define a variable for the test file path.
+TEST_FILE ?= tests/unit_tests/
+
+test:
+	python -m pytest $(TEST_FILE)
+
+integration_tests:
+	python -m pytest tests/integration_tests 
+
+test_watch:
+	python -m ptw --snapshot-update --now . -- -vv tests/unit_tests
+
+test_profile:
+	python -m pytest -vv tests/unit_tests/ --profile-svg
+
+extended_tests:
+	python -m pytest --only-extended $(TEST_FILE)
+
+
+######################
+# LINTING AND FORMATTING
+######################
+
+# Define a variable for Python and notebook files.
+PYTHON_FILES=src/
+MYPY_CACHE=.mypy_cache
+lint format: PYTHON_FILES=.
+lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$|\.ipynb$$')
+lint_package: PYTHON_FILES=src
+lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
+
+lint lint_diff lint_package lint_tests:
+	python -m ruff check .
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff format $(PYTHON_FILES) --diff
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff check --select I $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || python -m mypy --strict $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && python -m mypy --strict $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
+format format_diff:
+	ruff format $(PYTHON_FILES)
+	ruff check --select I --fix $(PYTHON_FILES)
+
+spell_check:
+	codespell --toml pyproject.toml
+
+spell_fix:
+	codespell --toml pyproject.toml -w
+
+######################
+# HELP
+######################
+
+help:
+	@echo '----'
+	@echo 'format                       - run code formatters'
+	@echo 'lint                         - run linters'
+	@echo 'test                         - run unit tests'
+	@echo 'tests                        - run unit tests'
+	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
+	@echo 'test_watch                   - run unit tests in watch mode'
+
@@ -0,0 +1,80 @@
+# New LangGraph Project
+
+[![CI](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml)
+[![Integration Tests](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml)
+
+This template demonstrates a simple application implemented using [LangGraph](https://github.com/langchain-ai/langgraph), designed for showing how to get started with [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server/#langgraph-server) and using [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/), a visual debugging IDE.
+
+<div align="center">
+  <img src="./static/studio_ui.png" alt="Graph view in LangGraph studio UI" width="75%" />
+</div>
+
+The core logic defined in `src/agent/graph.py`, showcases an single-step application that responds with a fixed string and the configuration provided.
+
+You can extend this graph to orchestrate more complex agentic workflows that can be visualized and debugged in LangGraph Studio.
+
+## Getting Started
+
+<!--
+Setup instruction auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
+-->
+
+<!--
+End setup instructions
+-->
+
+1. Install dependencies, along with the [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli/), which will be used to run the server.
+
+```bash
+cd path/to/your/app
+pip install -e . "langgraph-cli[inmem]"
+```
+
+2. (Optional) Customize the code and project as needed. Create a `.env` file if you need to use secrets.
+
+```bash
+cp .env.example .env
+```
+
+If you want to enable LangSmith tracing, add your LangSmith API key to the `.env` file.
+
+```text
+# .env
+LANGSMITH_API_KEY=lsv2...
+```
+
+3. Start the LangGraph Server.
+
+```shell
+langgraph dev
+```
+
+For more information on getting started with LangGraph Server, [see here](https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/).
+
+## How to customize
+
+1. **Define configurable parameters**: Modify the `Configuration` class in the `graph.py` file to expose the arguments you want to configure. For example, in a chatbot application you may want to define a dynamic system prompt or LLM to use. For more information on configurations in LangGraph, [see here](https://langchain-ai.github.io/langgraph/concepts/low_level/?h=configuration#configuration).
+
+2. **Extend the graph**: The core logic of the application is defined in [graph.py](./src/agent/graph.py). You can modify this file to add new nodes, edges, or change the flow of information.
+
+## Development
+
+While iterating on your graph in LangGraph Studio, you can edit past state and rerun your app from previous states to debug specific nodes. Local changes will be automatically applied via hot reload.
+
+Follow-up requests extend the same thread. You can create an entirely new thread, clearing previous history, using the `+` button in the top right.
+
+For more advanced features and examples, refer to the [LangGraph documentation](https://langchain-ai.github.io/langgraph/). These resources can help you adapt this template for your specific use case and build more sophisticated conversational agents.
+
+LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for more in-depth tracing and collaboration with teammates, allowing you to analyze and optimize your chatbot's performance.
+
+<!--
+Configuration auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
+{
+  "config_schemas": {
+    "agent": {
+      "type": "object",
+      "properties": {}
+    }
+  }
+}
+-->
@@ -0,0 +1,65 @@
+[project]
+name = "agent"
+version = "0.0.1"
+description = "Starter template for making a new agent LangGraph."
+authors = [
+    { name = "William Fu-Hinthorn", email = "13333726+hinthornw@users.noreply.github.com" },
+]
+readme = "README.md"
+license = { text = "MIT" }
+requires-python = ">=3.9"
+dependencies = [
+    "langgraph>=0.2.6",
+    "python-dotenv>=1.0.1",
+]
+
+
+[project.optional-dependencies]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["langgraph.templates.agent", "agent"]
+[tool.setuptools.package-dir]
+"langgraph.templates.agent" = "src/agent"
+"agent" = "src/agent"
+
+
+[tool.setuptools.package-data]
+"*" = ["py.typed"]
+
+[tool.ruff]
+lint.select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "D",    # pydocstyle
+    "D401", # First line should be in imperative mood
+    "T201",
+    "UP",
+]
+lint.ignore = [
+    "UP006",
+    "UP007",
+    # We actually do want to import from typing_extensions
+    "UP035",
+    # Relax the convention by _not_ requiring documentation for every function parameter.
+    "D417",
+    "E501",
+]
+[tool.ruff.lint.per-file-ignores]
+"tests/*" = ["D", "UP"]
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
+[dependency-groups]
+dev = [
+    "anyio>=4.7.0",
+    "langgraph-cli[inmem]>=0.2.8",
+    "mypy>=1.13.0",
+    "pytest>=8.3.5",
+    "ruff>=0.8.2",
+]
@@ -0,0 +1,8 @@
+"""New LangGraph Agent.
+
+This module defines a custom graph.
+"""
+
+from agent.graph import graph
+
+__all__ = ["graph"]
@@ -0,0 +1,54 @@
+"""LangGraph single-node graph template.
+
+Returns a predefined response. Replace logic and configuration as needed.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Dict, TypedDict
+
+from langchain_core.runnables import RunnableConfig
+from langgraph.graph import StateGraph
+
+
+class Configuration(TypedDict):
+    """Configurable parameters for the agent.
+
+    Set these when creating assistants OR when invoking the graph.
+    See: https://langchain-ai.github.io/langgraph/cloud/how-tos/configuration_cloud/
+    """
+
+    my_configurable_param: str
+
+
+@dataclass
+class State:
+    """Input state for the agent.
+
+    Defines the initial structure of incoming data.
+    See: https://langchain-ai.github.io/langgraph/concepts/low_level/#state
+    """
+
+    changeme: str = "example"
+
+
+async def call_model(state: State, config: RunnableConfig) -> Dict[str, Any]:
+    """Process input and returns output.
+
+    Can use runtime configuration to alter behavior.
+    """
+    configuration = config["configurable"]
+    return {
+        "changeme": "output from call_model. "
+        f"Configured with {configuration.get('my_configurable_param')}"
+    }
+
+
+# Define the graph
+graph = (
+    StateGraph(State, config_schema=Configuration)
+    .add_node(call_model)
+    .add_edge("__start__", "call_model")
+    .compile(name="New Graph")
+)
@@ -0,0 +1,6 @@
+import pytest
+
+
+@pytest.fixture(scope="session")
+def anyio_backend():
+    return "asyncio"
@@ -0,0 +1 @@
+"""Define any integration tests you want in this directory."""
@@ -0,0 +1,12 @@
+import pytest
+
+from agent import graph
+
+pytestmark = pytest.mark.anyio
+
+
+@pytest.mark.langsmith
+async def test_agent_simple_passthrough() -> None:
+    inputs = {"changeme": "some_val"}
+    res = await graph.ainvoke(inputs)
+    assert res is not None
@@ -0,0 +1 @@
+"""Define any unit tests you may want in this directory."""
@@ -0,0 +1,9 @@
+from langgraph.pregel import Pregel
+
+from agent.graph import graph
+
+
+def test_placeholder() -> None:
+    # TODO: You can add actual unit tests
+    # for your graph and other logic here.
+    assert isinstance(graph, Pregel)
@@ -20,7 +20,7 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES, MessagesState, push_mes
 from langgraph.graph.state import StateGraph
 from tests.messages import _AnyIdHumanMessage

-_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))
+_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split(".")[:3])


 def test_add_single_message():
@@ -15,16 +15,26 @@ from typing import (
 from warnings import warn

 from langchain_core.language_models import (
-    BaseChatModel,
+    BaseChatModel as BaseChatModelV0,
+)
+from langchain_core.language_models import (
    LanguageModelInput,
    LanguageModelLike,
 )
 from langchain_core.messages import (
-    AIMessage,
-    AnyMessage,
-    BaseMessage,
-    SystemMessage,
-    ToolMessage,
+    AIMessage as AIMessageV0,
+)
+from langchain_core.messages import (
+    AnyMessage as MessageV0,
+)
+from langchain_core.messages import (
+    BaseMessage as BaseMessageV0,
+)
+from langchain_core.messages import (
+    SystemMessage as SystemMessageV0,
+)
+from langchain_core.messages import (
+    ToolMessage as ToolMessageV0,
 )
 from langchain_core.runnables import (
    Runnable,
@@ -33,6 +43,19 @@ from langchain_core.runnables import (
    RunnableSequence,
 )
 from langchain_core.tools import BaseTool
+from langchain_core.v1.chat_models import BaseChatModel as BaseChatModelV1
+from langchain_core.v1.messages import (
+    AIMessage as AIMessageV1,
+)
+from langchain_core.v1.messages import (
+    MessageV1,
+)
+from langchain_core.v1.messages import (
+    SystemMessage as SystemMessageV1,
+)
+from langchain_core.v1.messages import (
+    ToolMessage as ToolMessageV1,
+)
 from pydantic import BaseModel
 from typing_extensions import Annotated, NotRequired, TypedDict

@@ -59,10 +82,20 @@ F = TypeVar("F", bound=Callable[..., Any])
 # This simply involves a list of messages
 # We want steps to return messages to append to the list
 # So we annotate the messages attribute with `add_messages` reducer
+
+
 class AgentState(TypedDict):
    """The state of the agent."""

-    messages: Annotated[Sequence[BaseMessage], add_messages]
+    messages: Annotated[Sequence[MessageV0], add_messages]
+
+    remaining_steps: NotRequired[RemainingSteps]
+
+
+class AgentStateV1(TypedDict):
+    """The state of the agent."""
+
+    messages: Annotated[Sequence[MessageV1], add_messages(message_version="v1")]

    remaining_steps: NotRequired[RemainingSteps]

@@ -70,7 +103,7 @@ class AgentState(TypedDict):
 class AgentStatePydantic(BaseModel):
    """The state of the agent."""

-    messages: Annotated[Sequence[BaseMessage], add_messages]
+    messages: Annotated[Sequence[Union[BaseMessageV0, MessageV1]], add_messages]

    remaining_steps: RemainingSteps = 25

@@ -93,7 +126,8 @@ StateSchemaType = Type[StateSchema]
 PROMPT_RUNNABLE_NAME = "Prompt"

 Prompt = Union[
-    SystemMessage,
+    SystemMessageV0,
+    SystemMessageV1,
    str,
    Callable[[StateSchema], LanguageModelInput],
    Runnable[StateSchema, LanguageModelInput],
@@ -108,19 +142,25 @@ def _get_state_value(state: StateSchema, key: str, default: Any = None) -> Any:
    )


-def _get_prompt_runnable(prompt: Optional[Prompt]) -> Runnable:
+def _get_prompt_runnable(
+    prompt: Optional[Prompt], message_version: Literal["v0", "v1"]
+) -> Runnable:
    prompt_runnable: Runnable
    if prompt is None:
        prompt_runnable = RunnableCallable(
            lambda state: _get_state_value(state, "messages"), name=PROMPT_RUNNABLE_NAME
        )
    elif isinstance(prompt, str):
-        _system_message: BaseMessage = SystemMessage(content=prompt)
+        _system_message: Union[SystemMessageV0, SystemMessageV1]
+        if message_version == "v0":
+            _system_message = SystemMessageV0(content=prompt)
+        else:
+            _system_message = SystemMessageV1(content=prompt)
        prompt_runnable = RunnableCallable(
            lambda state: [_system_message] + _get_state_value(state, "messages"),
            name=PROMPT_RUNNABLE_NAME,
        )
-    elif isinstance(prompt, SystemMessage):
+    elif isinstance(prompt, (SystemMessageV0, SystemMessageV1)):
        prompt_runnable = RunnableCallable(
            lambda state: [prompt] + _get_state_value(state, "messages"),
            name=PROMPT_RUNNABLE_NAME,
@@ -152,7 +192,7 @@ def _should_bind_tools(
            (
                step
                for step in model.steps
-                if isinstance(step, (RunnableBinding, BaseChatModel))
+                if isinstance(step, (RunnableBinding, BaseChatModelV0))
            ),
            model,
        )
@@ -191,14 +231,14 @@ def _should_bind_tools(
    return False


-def _get_model(model: LanguageModelLike) -> BaseChatModel:
+def _get_model(model: LanguageModelLike) -> Union[BaseChatModelV0, BaseChatModelV1]:
    """Get the underlying model from a RunnableBinding or return the model itself."""
    if isinstance(model, RunnableSequence):
        model = next(
            (
                step
                for step in model.steps
-                if isinstance(step, (RunnableBinding, BaseChatModel))
+                if isinstance(step, (RunnableBinding, BaseChatModelV0))
            ),
            model,
        )
@@ -206,7 +246,7 @@ def _get_model(model: LanguageModelLike) -> BaseChatModel:
    if isinstance(model, RunnableBinding):
        model = model.bound

-    if not isinstance(model, BaseChatModel):
+    if not isinstance(model, (BaseChatModelV0, BaseChatModelV1)):
        raise TypeError(
            f"Expected `model` to be a ChatModel or RunnableBinding (e.g. model.bind_tools(...)), got {type(model)}"
        )
@@ -215,17 +255,19 @@ def _get_model(model: LanguageModelLike) -> BaseChatModel:


 def _validate_chat_history(
-    messages: Sequence[BaseMessage],
+    messages: Sequence[Union[BaseMessageV0, MessageV1]],
 ) -> None:
    """Validate that all tool calls in AIMessages have a corresponding ToolMessage."""
    all_tool_calls = [
        tool_call
        for message in messages
-        if isinstance(message, AIMessage)
+        if isinstance(message, (AIMessageV0, AIMessageV1))
        for tool_call in message.tool_calls
    ]
    tool_call_ids_with_results = {
-        message.tool_call_id for message in messages if isinstance(message, ToolMessage)
+        message.tool_call_id
+        for message in messages
+        if isinstance(message, (ToolMessageV0, ToolMessageV1))
    }
    tool_calls_without_results = [
        tool_call
@@ -249,14 +291,21 @@ def create_react_agent(
    model: Union[
        str,
        LanguageModelLike,
-        Callable[[StateSchema, Runtime[ContextT]], BaseChatModel],
-        Callable[[StateSchema, Runtime[ContextT]], Awaitable[BaseChatModel]],
+        BaseChatModelV1,
        Callable[
-            [StateSchema, Runtime[ContextT]], Runnable[LanguageModelInput, BaseMessage]
+            [StateSchema, Runtime[ContextT]], Union[BaseChatModelV0, BaseChatModelV1]
        ],
        Callable[
            [StateSchema, Runtime[ContextT]],
-            Awaitable[Runnable[LanguageModelInput, BaseMessage]],
+            Awaitable[Union[BaseChatModelV0, BaseChatModelV1]],
+        ],
+        Callable[
+            [StateSchema, Runtime[ContextT]],
+            Runnable[LanguageModelInput, Union[BaseMessageV0, MessageV1]],
+        ],
+        Callable[
+            [StateSchema, Runtime[ContextT]],
+            Awaitable[Runnable[LanguageModelInput, Union[BaseMessageV0, MessageV1]]],
        ],
    ],
    tools: Union[Sequence[Union[BaseTool, Callable, dict[str, Any]]], ToolNode],
@@ -276,6 +325,7 @@ def create_react_agent(
    debug: bool = False,
    version: Literal["v1", "v2"] = "v2",
    name: Optional[str] = None,
+    message_version: Optional[Literal["v0", "v1"]] = None,
    **deprecated_kwargs: Any,
 ) -> CompiledStateGraph:
    """Creates an agent graph that calls tools in a loop until a stopping condition is met.
@@ -414,6 +464,7 @@ def create_react_agent(
        name: An optional name for the CompiledStateGraph.
            This name will be automatically used when adding ReAct agent graph to another graph as a subgraph node -
            particularly useful for building multi-agent systems.
+        message_version: Version of the message format to use (v0 or v1 langchain).

    !!! warning "`config_schema` Deprecated"
        The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
@@ -478,6 +529,18 @@ def create_react_agent(
            f"Invalid version {version}. Supported versions are 'v1' and 'v2'."
        )

+    if message_version is None:
+        if isinstance(model, BaseChatModelV1):
+            message_version = "v1"
+        else:
+            message_version = "v0"
+
+    message_constructor: Union[type[AIMessageV0], type[AIMessageV1]]
+    if message_version == "v0":
+        message_constructor = AIMessageV0
+    else:
+        message_constructor = AIMessageV1
+
    if state_schema is not None:
        required_keys = {"messages", "remaining_steps"}
        if response_format is not None:
@@ -488,11 +551,14 @@ def create_react_agent(
            raise ValueError(f"Missing required key(s) {missing_keys} in state_schema")

    if state_schema is None:
-        state_schema = (
-            AgentStateWithStructuredResponse
-            if response_format is not None
-            else AgentState
-        )
+        if message_version == "v1":
+            state_schema = AgentStateV1
+        else:
+            state_schema = (
+                AgentStateWithStructuredResponse
+                if response_format is not None
+                else AgentState
+            )

    llm_builtin_tools: list[dict] = []
    if isinstance(tools, ToolNode):
@@ -500,7 +566,10 @@ def create_react_agent(
        tool_node = tools
    else:
        llm_builtin_tools = [t for t in tools if isinstance(t, dict)]
-        tool_node = ToolNode([t for t in tools if not isinstance(t, dict)])
+        tool_node = ToolNode(
+            [t for t in tools if not isinstance(t, dict)],
+            message_version=message_version,
+        )
        tool_classes = list(tool_node.tools_by_name.values())

    is_dynamic_model = not isinstance(model, (str, Runnable)) and callable(model)
@@ -520,17 +589,19 @@ def create_react_agent(
                    "use '<provider>:<model>' string syntax for `model` parameter."
                )

-            model = cast(BaseChatModel, init_chat_model(model))
+            model = init_chat_model(model, message_version=message_version)

        if (
            _should_bind_tools(model, tool_classes, num_builtin=len(llm_builtin_tools))  # type: ignore[arg-type]
            and len(tool_classes + llm_builtin_tools) > 0
        ):
-            model = cast(BaseChatModel, model).bind_tools(
+            model = cast(Union[BaseChatModelV0, BaseChatModelV1], model).bind_tools(  # type: ignore[assignment]
                tool_classes + llm_builtin_tools  # type: ignore[operator]
            )

-        static_model: Optional[Runnable] = _get_prompt_runnable(prompt) | model  # type: ignore[operator]
+        static_model: Optional[Runnable] = (
+            _get_prompt_runnable(prompt, message_version) | model  # type: ignore[operator]
+        )
    else:
        # For dynamic models, we'll create the runnable at runtime
        static_model = None
@@ -544,7 +615,7 @@ def create_react_agent(
    ) -> LanguageModelLike:
        """Resolve the model to use, handling both static and dynamic models."""
        if is_dynamic_model:
-            return _get_prompt_runnable(prompt) | model(state, runtime)  # type: ignore[operator]
+            return _get_prompt_runnable(prompt, message_version) | model(state, runtime)  # type: ignore[operator]
        else:
            return static_model

@@ -554,17 +625,21 @@ def create_react_agent(
        """Async resolve the model to use, handling both static and dynamic models."""
        if is_async_dynamic_model:
            resolved_model = await model(state, runtime)  # type: ignore[misc,operator]
-            return _get_prompt_runnable(prompt) | resolved_model
+            return _get_prompt_runnable(prompt, message_version) | resolved_model
        elif is_dynamic_model:
-            return _get_prompt_runnable(prompt) | model(state, runtime)  # type: ignore[operator]
+            return _get_prompt_runnable(prompt, message_version) | model(state, runtime)  # type: ignore[operator]
        else:
            return static_model

-    def _are_more_steps_needed(state: StateSchema, response: BaseMessage) -> bool:
-        has_tool_calls = isinstance(response, AIMessage) and response.tool_calls
+    def _are_more_steps_needed(
+        state: StateSchema, response: Union[AIMessageV0, AIMessageV1]
+    ) -> bool:
+        has_tool_calls = (
+            isinstance(response, (AIMessageV0, AIMessageV1)) and response.tool_calls
+        )
        all_tools_return_direct = (
            all(call["name"] in should_return_direct for call in response.tool_calls)
-            if isinstance(response, AIMessage)
+            if isinstance(response, (AIMessageV0, AIMessageV1))
            else False
        )
        remaining_steps = _get_state_value(state, "remaining_steps", None)
@@ -617,9 +692,12 @@ def create_react_agent(
        if is_dynamic_model:
            # Resolve dynamic model at runtime and apply prompt
            dynamic_model = _resolve_model(state, runtime)
-            response = cast(AIMessage, dynamic_model.invoke(model_input, config))  # type: ignore[arg-type]
+            response = dynamic_model.invoke(model_input, config)  # type: ignore[arg-type]
        else:
-            response = cast(AIMessage, static_model.invoke(model_input, config))  # type: ignore[union-attr]
+            response = static_model.invoke(model_input, config)  # type: ignore[union-attr]
+
+        # Type assertion to help mypy understand the response type
+        assert isinstance(response, (AIMessageV0, AIMessageV1))

        # add agent name to the AIMessage
        response.name = name
@@ -627,7 +705,7 @@ def create_react_agent(
        if _are_more_steps_needed(state, response):
            return {
                "messages": [
-                    AIMessage(
+                    message_constructor(
                        id=response.id,
                        content="Sorry, need more steps to process this request.",
                    )
@@ -645,16 +723,24 @@ def create_react_agent(
            # Resolve dynamic model at runtime and apply prompt
            # (supports both sync and async)
            dynamic_model = await _aresolve_model(state, runtime)
-            response = cast(AIMessage, await dynamic_model.ainvoke(model_input, config))  # type: ignore[arg-type]
+            response = await dynamic_model.ainvoke(model_input, config)  # type: ignore[arg-type]
        else:
-            response = cast(AIMessage, await static_model.ainvoke(model_input, config))  # type: ignore[union-attr]
+            response = await static_model.ainvoke(model_input, config)  # type: ignore[union-attr]
+
+        if message_version == "v0":
+            response = cast(AIMessageV0, response)
+        else:
+            response = cast(AIMessageV1, response)
+
+        # Type assertion to help mypy understand the response type
+        assert isinstance(response, (AIMessageV0, AIMessageV1))

        # add agent name to the AIMessage
        response.name = name
        if _are_more_steps_needed(state, response):
            return {
                "messages": [
-                    AIMessage(
+                    message_constructor(
                        id=response.id,
                        content="Sorry, need more steps to process this request.",
                    )
@@ -670,15 +756,27 @@ def create_react_agent(
            # For Pydantic schemas
            from pydantic import create_model

-            input_schema = create_model(
-                "CallModelInputSchema",
-                llm_input_messages=(list[AnyMessage], ...),
-                __base__=state_schema,
-            )
+            if message_version == "v0":
+                input_schema = create_model(
+                    "CallModelInputSchema",
+                    llm_input_messages=(list[MessageV0], ...),
+                    __base__=state_schema,
+                )
+            else:
+                input_schema = create_model(
+                    "CallModelInputSchema",
+                    llm_input_messages=(list[MessageV1], ...),
+                    __base__=state_schema,
+                )
        else:
-            # For TypedDict schemas
-            class CallModelInputSchema(state_schema):  # type: ignore
-                llm_input_messages: list[AnyMessage]
+            if message_version == "v0":
+
+                class CallModelInputSchema(state_schema):  # type: ignore
+                    llm_input_messages: list[MessageV0]
+            else:
+
+                class CallModelInputSchema(state_schema):  # type: ignore
+                    llm_input_messages: list[MessageV1]

            input_schema = CallModelInputSchema
    else:
@@ -698,7 +796,10 @@ def create_react_agent(
        structured_response_schema = response_format
        if isinstance(response_format, tuple):
            system_prompt, structured_response_schema = response_format
-            messages = [SystemMessage(content=system_prompt)] + list(messages)
+            if message_version == "v0":
+                messages = [SystemMessageV0(content=system_prompt)] + list(messages)
+            else:
+                messages = [SystemMessageV1(content=system_prompt)] + list(messages)

        resolved_model = _resolve_model(state, runtime)
        model_with_structured_output = _get_model(
@@ -716,7 +817,10 @@ def create_react_agent(
        structured_response_schema = response_format
        if isinstance(response_format, tuple):
            system_prompt, structured_response_schema = response_format
-            messages = [SystemMessage(content=system_prompt)] + list(messages)
+            if message_version == "v0":
+                messages = [SystemMessageV0(content=system_prompt)] + list(messages)
+            else:
+                messages = [SystemMessageV1(content=system_prompt)] + list(messages)

        resolved_model = await _aresolve_model(state, runtime)
        model_with_structured_output = _get_model(
@@ -775,7 +879,10 @@ def create_react_agent(
        messages = _get_state_value(state, "messages")
        last_message = messages[-1]
        # If there is no function call, then we finish
-        if not isinstance(last_message, AIMessage) or not last_message.tool_calls:
+        if (
+            not isinstance(last_message, (AIMessageV0, AIMessageV1))
+            or not last_message.tool_calls
+        ):
            if post_model_hook is not None:
                return "post_model_hook"
            elif response_format is not None:
@@ -864,10 +971,14 @@ def create_react_agent(

            messages = _get_state_value(state, "messages")
            tool_messages = [
-                m.tool_call_id for m in messages if isinstance(m, ToolMessage)
+                m.tool_call_id
+                for m in messages
+                if isinstance(m, (ToolMessageV0, ToolMessageV1))
            ]
            last_ai_message = next(
-                m for m in reversed(messages) if isinstance(m, AIMessage)
+                m
+                for m in reversed(messages)
+                if isinstance(m, (AIMessageV0, AIMessageV1))
            )
            pending_tool_calls = [
                c for c in last_ai_message.tool_calls if c["id"] not in tool_messages
@@ -879,7 +990,7 @@ def create_react_agent(
                    for call in pending_tool_calls
                ]
                return [Send("tools", [tool_call]) for tool_call in pending_tool_calls]
-            elif isinstance(messages[-1], ToolMessage):
+            elif isinstance(messages[-1], (ToolMessageV0, ToolMessageV1)):
                return entrypoint
            elif response_format is not None:
                return "generate_structured_response"
@@ -900,14 +1011,14 @@ def create_react_agent(

    def route_tool_responses(state: StateSchema) -> str:
        for m in reversed(_get_state_value(state, "messages")):
-            if not isinstance(m, ToolMessage):
+            if not isinstance(m, (ToolMessageV0, ToolMessageV1)):
                break
            if m.name in should_return_direct:
                return END

        # handle a case of parallel tool calls where
        # the tool w/ `return_direct` was executed in a different `Send`
-        if isinstance(m, AIMessage) and m.tool_calls:
+        if isinstance(m, (AIMessageV0, AIMessageV1)) and m.tool_calls:
            if any(call["name"] in should_return_direct for call in m.tool_calls):
                return END

@@ -50,12 +50,26 @@ from typing import (
 )

 from langchain_core.messages import (
-    AIMessage,
-    AnyMessage,
-    RemoveMessage,
-    ToolCall,
-    ToolMessage,
-    convert_to_messages,
+    AIMessage as AIMessageV0,
+)
+from langchain_core.messages import (
+    AIMessage as AIMessageV1,
+)
+from langchain_core.messages import (
+    AnyMessage as MessageV0,
+)
+from langchain_core.messages import (
+    RemoveMessage as RemoveMessageV0,
+)
+from langchain_core.messages import (
+    ToolMessage as ToolMessageV0,
+)
+from langchain_core.messages.tool import ToolCall
+from langchain_core.messages.utils import (
+    convert_to_messages as convert_to_messages_v0,
+)
+from langchain_core.messages.utils import (
+    convert_to_messages_v1,
 )
 from langchain_core.runnables import RunnableConfig
 from langchain_core.runnables.config import (
@@ -68,6 +82,12 @@ from langchain_core.tools.base import (
    TOOL_MESSAGE_BLOCK_TYPES,
    get_all_basemodel_annotations,
 )
+from langchain_core.v1.messages import (
+    MessageV1,
+)
+from langchain_core.v1.messages import (
+    ToolMessage as ToolMessageV1,
+)
 from pydantic import BaseModel
 from typing_extensions import Annotated, get_args, get_origin

@@ -326,6 +346,7 @@ class ToolNode(RunnableCallable):
            bool, str, Callable[..., str], tuple[type[Exception], ...]
        ] = True,
        messages_key: str = "messages",
+        message_version: Literal["v0", "v1"] = "v0",
    ) -> None:
        """Initialize the ToolNode with the provided tools and configuration.

@@ -342,6 +363,7 @@ class ToolNode(RunnableCallable):
        self.tool_to_store_arg: dict[str, Optional[str]] = {}
        self.handle_tool_errors = handle_tool_errors
        self.messages_key = messages_key
+        self.message_version = message_version
        for tool_ in tools:
            if not isinstance(tool_, BaseTool):
                tool_ = create_tool(tool_)
@@ -352,7 +374,7 @@ class ToolNode(RunnableCallable):
    def _func(
        self,
        input: Union[
-            list[AnyMessage],
+            list[Union[MessageV0, MessageV1]],
            dict[str, Any],
            BaseModel,
        ],
@@ -373,7 +395,7 @@ class ToolNode(RunnableCallable):
    async def _afunc(
        self,
        input: Union[
-            list[AnyMessage],
+            list[Union[MessageV0, MessageV1]],
            dict[str, Any],
            BaseModel,
        ],
@@ -390,9 +412,15 @@ class ToolNode(RunnableCallable):

    def _combine_tool_outputs(
        self,
-        outputs: list[ToolMessage],
+        outputs: list[Union[ToolMessageV0, ToolMessageV1, Command]],
        input_type: Literal["list", "dict", "tool_calls"],
-    ) -> list[Union[Command, list[ToolMessage], dict[str, list[ToolMessage]]]]:
+    ) -> list[
+        Union[
+            Command,
+            list[Union[ToolMessageV0, ToolMessageV1]],
+            dict[str, list[Union[ToolMessageV0, ToolMessageV1]]],
+        ]
+    ]:
        # preserve existing behavior for non-command tool outputs for backwards
        # compatibility
        if not any(isinstance(output, Command) for output in outputs):
@@ -402,7 +430,9 @@ class ToolNode(RunnableCallable):
        # LangGraph will automatically handle list of Command and non-command node
        # updates
        combined_outputs: list[
-            Command | list[ToolMessage] | dict[str, list[ToolMessage]]
+            Command
+            | list[Union[ToolMessageV0, ToolMessageV1]]
+            | dict[str, list[Union[ToolMessageV0, ToolMessageV1]]]
        ] = []

        # combine all parent commands with goto into a single parent command
@@ -437,7 +467,7 @@ class ToolNode(RunnableCallable):
        call: ToolCall,
        input_type: Literal["list", "dict", "tool_calls"],
        config: RunnableConfig,
-    ) -> ToolMessage:
+    ) -> Union[ToolMessageV0, ToolMessageV1, Command]:
        """Run a single tool call synchronously."""
        if invalid_tool_message := self._validate_tool_call(call):
            return invalid_tool_message
@@ -469,20 +499,30 @@ class ToolNode(RunnableCallable):
            # Handled
            else:
                content = _handle_tool_error(e, flag=self.handle_tool_errors)
-            return ToolMessage(
-                content=content,
-                name=call["name"],
-                tool_call_id=call["id"],
-                status="error",
-            )
+            if self.message_version == "v0":
+                return ToolMessageV0(
+                    content=content,
+                    name=call["name"],
+                    tool_call_id=call["id"],
+                    status="error",
+                )
+            else:
+                return ToolMessageV1(
+                    content=content,
+                    name=call["name"],
+                    tool_call_id=cast(str, call["id"]),
+                    status="error",
+                )

        if isinstance(response, Command):
            return self._validate_tool_command(response, call, input_type)
-        elif isinstance(response, ToolMessage):
+        elif isinstance(response, ToolMessageV0):
            response.content = cast(
                Union[str, list], msg_content_output(response.content)
            )
            return response
+        elif isinstance(response, ToolMessageV1):
+            return response
        else:
            raise TypeError(
                f"Tool {call['name']} returned unexpected type: {type(response)}"
@@ -493,7 +533,7 @@ class ToolNode(RunnableCallable):
        call: ToolCall,
        input_type: Literal["list", "dict", "tool_calls"],
        config: RunnableConfig,
-    ) -> ToolMessage:
+    ) -> Union[ToolMessageV0, ToolMessageV1, Command]:
        """Run a single tool call asynchronously."""
        if invalid_tool_message := self._validate_tool_call(call):
            return invalid_tool_message
@@ -527,20 +567,30 @@ class ToolNode(RunnableCallable):
            else:
                content = _handle_tool_error(e, flag=self.handle_tool_errors)

-            return ToolMessage(
-                content=content,
-                name=call["name"],
-                tool_call_id=call["id"],
-                status="error",
-            )
+            if self.message_version == "v0":
+                return ToolMessageV0(
+                    content=content,
+                    name=call["name"],
+                    tool_call_id=call["id"],
+                    status="error",
+                )
+            else:
+                return ToolMessageV1(
+                    content=content,
+                    name=call["name"],
+                    tool_call_id=cast(str, call["id"]),
+                    status="error",
+                )

        if isinstance(response, Command):
            return self._validate_tool_command(response, call, input_type)
-        elif isinstance(response, ToolMessage):
+        elif isinstance(response, ToolMessageV0):
            response.content = cast(
                Union[str, list], msg_content_output(response.content)
            )
            return response
+        elif isinstance(response, ToolMessageV1):
+            return response
        else:
            raise TypeError(
                f"Tool {call['name']} returned unexpected type: {type(response)}"
@@ -549,7 +599,7 @@ class ToolNode(RunnableCallable):
    def _parse_input(
        self,
        input: Union[
-            list[AnyMessage],
+            list[Union[MessageV0, MessageV1]],
            dict[str, Any],
            BaseModel,
        ],
@@ -574,7 +624,9 @@ class ToolNode(RunnableCallable):

        try:
            latest_ai_message = next(
-                m for m in reversed(messages) if isinstance(m, AIMessage)
+                m
+                for m in reversed(messages)
+                if isinstance(m, (AIMessageV0, AIMessageV1))
            )
        except StopIteration:
            raise ValueError("No AIMessage found in input")
@@ -585,15 +637,29 @@ class ToolNode(RunnableCallable):
        ]
        return tool_calls, input_type

-    def _validate_tool_call(self, call: ToolCall) -> Optional[ToolMessage]:
+    def _validate_tool_call(
+        self, call: ToolCall
+    ) -> Optional[Union[ToolMessageV0, ToolMessageV1]]:
        if (requested_tool := call["name"]) not in self.tools_by_name:
            content = INVALID_TOOL_NAME_ERROR_TEMPLATE.format(
                requested_tool=requested_tool,
                available_tools=", ".join(self.tools_by_name.keys()),
            )
-            return ToolMessage(
-                content, name=requested_tool, tool_call_id=call["id"], status="error"
-            )
+
+            if self.message_version == "v0":
+                return ToolMessageV0(
+                    content=content,
+                    name=requested_tool,
+                    tool_call_id=call["id"],
+                    status="error",
+                )
+            else:
+                return ToolMessageV1(
+                    content=content,
+                    name=requested_tool,
+                    tool_call_id=cast(str, call["id"]),
+                    status="error",
+                )
        else:
            return None

@@ -601,7 +667,7 @@ class ToolNode(RunnableCallable):
        self,
        tool_call: ToolCall,
        input: Union[
-            list[AnyMessage],
+            list[Union[MessageV0, MessageV1]],
            dict[str, Any],
            BaseModel,
        ],
@@ -665,7 +731,7 @@ class ToolNode(RunnableCallable):
        self,
        tool_call: ToolCall,
        input: Union[
-            list[AnyMessage],
+            list[Union[MessageV0, MessageV1]],
            dict[str, Any],
            BaseModel,
        ],
@@ -738,20 +804,23 @@ class ToolNode(RunnableCallable):
                )

            updated_command = deepcopy(command)
-            messages_update = updated_command.update
+            messages_update = updated_command.update or []
        else:
            return command

        # convert to message objects if updates are in a dict format
-        messages_update = convert_to_messages(messages_update)
+        if self.message_version == "v0":
+            messages_update = convert_to_messages_v0(messages_update)
+        else:
+            messages_update = convert_to_messages_v1(messages_update)

        # no validation needed if all messages are being removed
-        if messages_update == [RemoveMessage(id=REMOVE_ALL_MESSAGES)]:
+        if messages_update == [RemoveMessageV0(id=REMOVE_ALL_MESSAGES)]:
            return updated_command

        has_matching_tool_message = False
        for message in messages_update:
-            if not isinstance(message, ToolMessage):
+            if not isinstance(message, (ToolMessageV0, ToolMessageV1)):
                continue

            if message.tool_call_id == call["id"]:
@@ -775,7 +844,7 @@ class ToolNode(RunnableCallable):


 def tools_condition(
-    state: Union[list[AnyMessage], dict[str, Any], BaseModel],
+    state: Union[list[Union[MessageV0, MessageV1]], dict[str, Any], BaseModel],
    messages_key: str = "messages",
 ) -> Literal["tools", "__end__"]:
    """Conditional routing function for tool-calling workflows.
@@ -846,7 +915,7 @@ def tools_condition(
        ai_message = messages[-1]
    else:
        raise ValueError(f"No messages found in input state to tool_edge: {state}")
-    if hasattr(ai_message, "tool_calls") and len(ai_message.tool_calls) > 0:
+    if (tool_calls := getattr(ai_message, "tool_calls", [])) and len(tool_calls) > 0:
        return "tools"
    return "__end__"

@@ -9,6 +9,7 @@ from typing import (
    Any,
    Callable,
    Dict,
+    Literal,
    Optional,
    Sequence,
    Tuple,
@@ -18,17 +19,30 @@ from typing import (
 )

 from langchain_core.messages import (
-    AIMessage,
-    AnyMessage,
-    ToolCall,
-    ToolMessage,
+    AIMessage as AIMessageV0,
 )
+from langchain_core.messages import (
+    AnyMessage as MessageV0,
+)
+from langchain_core.messages import (
+    ToolMessage as ToolMessageV0,
+)
+from langchain_core.messages.tool import ToolCall
 from langchain_core.runnables import (
    RunnableConfig,
 )
 from langchain_core.runnables.config import get_executor_for_config
 from langchain_core.tools import BaseTool, create_schema_from_function
 from langchain_core.utils.pydantic import is_basemodel_subclass
+from langchain_core.v1.messages import (
+    AIMessage as AIMessageV1,
+)
+from langchain_core.v1.messages import (
+    MessageV1,
+)
+from langchain_core.v1.messages import (
+    ToolMessage as ToolMessageV1,
+)
 from pydantic import BaseModel, ValidationError
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import ValidationError as ValidationErrorV1
@@ -68,6 +82,7 @@ class ValidationNode(RunnableCallable):
            exception repr and a message to respond after fixing validation errors.
        name: The name of the node.
        tags: A list of tags to add to the node.
+        message_version: Version of the message format to use (v0 or v1 langchain).

    Returns:
        (Union[Dict[str, List[ToolMessage]], Sequence[ToolMessage]]): A list of ToolMessages with the validated content or error messages.
@@ -134,6 +149,7 @@ class ValidationNode(RunnableCallable):
        ] = None,
        name: str = "validation",
        tags: Optional[list[str]] = None,
+        message_version: Literal["v0", "v1"] = "v0",
    ) -> None:
        super().__init__(self._func, None, name=name, tags=tags, trace=False)
        self._format_error = format_error or _default_format_error
@@ -163,10 +179,11 @@ class ValidationNode(RunnableCallable):
                raise ValueError(
                    f"Unsupported input to ValidationNode. Expected BaseModel, tool or function. Got: {type(schema)}."
                )
+        self.message_version = message_version

    def _get_message(
-        self, input: Union[list[AnyMessage], dict[str, Any]]
-    ) -> Tuple[str, AIMessage]:
+        self, input: Union[list[Union[MessageV0, MessageV1]], dict[str, Any]]
+    ) -> Tuple[str, Union[AIMessageV0, AIMessageV1]]:
        """Extract the last AIMessage from the input."""
        if isinstance(input, list):
            output_type = "list"
@@ -175,18 +192,19 @@ class ValidationNode(RunnableCallable):
            output_type = "dict"
        else:
            raise ValueError("No message found in input")
-        message: AnyMessage = messages[-1]
-        if not isinstance(message, AIMessage):
+        if not isinstance((message := messages[-1]), (AIMessageV0, AIMessageV1)):
            raise ValueError("Last message is not an AIMessage")
        return output_type, message

    def _func(
-        self, input: Union[list[AnyMessage], dict[str, Any]], config: RunnableConfig
+        self,
+        input: Union[list[Union[MessageV0, MessageV1]], dict[str, Any]],
+        config: RunnableConfig,
    ) -> Any:
        """Validate and run tool calls synchronously."""
        output_type, message = self._get_message(input)

-        def run_one(call: ToolCall) -> ToolMessage:
+        def run_one(call: ToolCall) -> Union[ToolMessageV0, ToolMessageV1]:
            schema = self.schemas_by_name[call["name"]]
            try:
                if issubclass(schema, BaseModel):
@@ -199,18 +217,34 @@ class ValidationNode(RunnableCallable):
                    raise ValueError(
                        f"Unsupported schema type: {type(schema)}. Expected BaseModel or BaseModelV1."
                    )
-                return ToolMessage(
-                    content=content,
-                    name=call["name"],
-                    tool_call_id=cast(str, call["id"]),
-                )
+
+                if self.message_version == "v0":
+                    return ToolMessageV0(
+                        content=content,
+                        name=call["name"],
+                        tool_call_id=cast(str, call["id"]),
+                        additional_kwargs={"is_error": False},
+                    )
+                else:
+                    return ToolMessageV1(
+                        content=content,
+                        name=call["name"],
+                        tool_call_id=cast(str, call["id"]),
+                    )
            except (ValidationError, ValidationErrorV1) as e:
-                return ToolMessage(
-                    content=self._format_error(e, call, schema),
-                    name=call["name"],
-                    tool_call_id=cast(str, call["id"]),
-                    additional_kwargs={"is_error": True},
-                )
+                if self.message_version == "v0":
+                    return ToolMessageV0(
+                        content=self._format_error(e, call, schema),
+                        name=call["name"],
+                        tool_call_id=cast(str, call["id"]),
+                        additional_kwargs={"is_error": True},
+                    )
+                else:
+                    return ToolMessageV1(
+                        content=self._format_error(e, call, schema),
+                        name=call["name"],
+                        tool_call_id=cast(str, call["id"]),
+                    )

        with get_executor_for_config(config) as executor:
            outputs = [*executor.map(run_one, message.tool_calls)]
@@ -13,7 +13,7 @@ license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
    "langgraph-checkpoint>=2.1.0,<3.0.0",
-    "langchain-core>=0.3.67",
+    "langchain-core==0.4.0.dev0",
 ]

 [project.urls]
@@ -37,6 +37,7 @@ dev = [

 [tool.uv]
 default-groups = ['dev']
+prerelease = "allow"

 [tool.uv.sources]
 langgraph = { path = "../langgraph", editable = true }
@@ -1,6 +1,13 @@
 version = 1
 revision = 2
 requires-python = ">=3.9"
+resolution-markers = [
+    "python_full_version >= '3.10'",
+    "python_full_version < '3.10'",
+]
+
+[options]
+prerelease-mode = "allow"

 [[package]]
 name = "aiosqlite"
@@ -25,7 +32,7 @@ wheels = [

 [[package]]
 name = "anyio"
-version = "4.9.0"
+version = "4.10.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -33,87 +40,121 @@ dependencies = [
    { name = "sniffio" },
    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/12/e5e0282d673bb9746bacfb6e2dba8719989d3660cdb2ea79aee9a9651afb/anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1", size = 107213, upload-time = "2025-08-04T08:54:24.882Z" },
+]
+
+[[package]]
+name = "backports-asyncio-runner"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8e/ff/70dca7d7cb1cbc0edb2c6cc0c38b65cba36cccc491eca64cabd5fe7f8670/backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162", size = 69893, upload-time = "2025-07-02T02:27:15.685Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
 ]

 [[package]]
 name = "certifi"
-version = "2025.7.9"
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 ]

 [[package]]
Author	SHA1	Message	Date
Sydney Runkle	9c40dde9d8	very hacky approach for add_messages in the short term	2025-08-06 16:53:30 -04:00
Sydney Runkle	88e6bd35f5	lock prerelease	2025-08-06 15:12:41 -04:00
Sydney Runkle	163f0ee7fd	attempt fixes	2025-08-06 15:11:39 -04:00
Sydney Runkle	79ce01fd3e	fix snapshot	2025-08-06 14:58:02 -04:00
Sydney Runkle	ac5c52876c	fix tests	2025-08-06 14:52:11 -04:00
Sydney Runkle	f307f713a1	remove test file	2025-08-06 14:38:17 -04:00
Sydney Runkle	a46bac07bf	first pass	2025-08-06 14:35:36 -04:00
Sydney Runkle	e99f079047	lock to prerelease	2025-08-06 13:12:03 -04:00
Sydney Runkle	af5de1a7cb	first pass, things are looking ugly	2025-08-06 11:22:12 -04:00
Sydney Runkle	9d4c86eccc	tigter langchain-core bounds	2025-08-06 10:25:20 -04:00
				`@@ -0,0 +1 @@`
				`"""Define any integration tests you want in this directory."""`
				`@@ -0,0 +1 @@`
				`"""Define any unit tests you may want in this directory."""`