chore(checkpoint-sqlite): Release 2.0.11 (#5667)

Release new version

docs/docs/cloud/reference/langgraph_server_changelog.md

@@ -4,6 +4,31 @@
 
 ---
 
+## v0.2.103 (2025-07-25)
+- Corrected the metadata endpoint to ensure accurate data retrieval.
+
+## v0.2.102 (2025-07-24)
+- Captured interrupt events in the wait method to preserve legacy behavior and stream updates by default.
+- Added support for SDK structlog in the JavaScript environment, enhancing logging capabilities.
+
+## v0.2.101 (2025-07-24)
+- Used the correct metadata endpoint for self-hosted environments, resolving an access issue.
+
+## v0.2.99 (2025-07-22)
+- Improved license validation by adding an in-memory cache and handling Redis connection errors more effectively.
+- Automatically remove agents from memory that are removed from `langgraph.json` to prevent persistence issues.
+- Ensured the UI namespace for generated UI is a valid JavaScript property name to prevent errors.
+- Raised a 422 error for improved request validation feedback.
+
+## v0.2.98 (2025-07-19)
+- Added langgraph node context for improved log filtering and trace visibility.
+
+## v0.2.97 (2025-07-19)
+- Fixed scheduling issue with ckpt ingestion worker that occurred on isolated background loops.
+- Ensured queue worker starts only after all migrations have completed.
+- Added more detailed error messages for thread state issues and improved response handling when state updates fail.
+- Exposed interrupt ID while retrieving thread state for enhanced API response details.
+
 ## v0.2.96 (2025-07-17)
 - Added a fallback mechanism for configurable header patterns to handle exclude/include settings more effectively.
 

docs/docs/concepts/human_in_the_loop.md

@@ -23,7 +23,7 @@ To review, edit, and approve tool calls in an agent or workflow, [use LangGraph'
 
 ## Key capabilities
 
-* **Persistent execution state**: Interrupts use LangGraph's [persistence](../../concepts/persistence.md) layer, which saves the graph state, to indefinitely pause graph execution until you resume. This is possible because LangGraph checkpoints the graph state after each step, which allows the system to persist execution context and later resume the workflow, continuing from where it left off. This supports asynchronous human review or input without time constraints.
+* **Persistent execution state**: Interrupts use LangGraph's [persistence](./persistence.md) layer, which saves the graph state, to indefinitely pause graph execution until you resume. This is possible because LangGraph checkpoints the graph state after each step, which allows the system to persist execution context and later resume the workflow, continuing from where it left off. This supports asynchronous human review or input without time constraints.
 
     There are two ways to pause a graph:
 

docs/docs/concepts/langgraph_control_plane.md

@@ -119,6 +119,11 @@ These metrics are displayed as charts in the Control Plane UI.
 
 ### LangSmith Integration
 
-A [LangSmith](https://docs.smith.langchain.com/) tracing project is automatically created for each deployment. The tracing project has the same name as the deployment. When creating a deployment, the `LANGCHAIN_TRACING` and `LANGSMITH_API_KEY`/`LANGCHAIN_API_KEY` environment variables do not need to be specified; they are set automatically by the control plane.
+A [LangSmith](https://docs.smith.langchain.com/) tracing project and LangSmith API key are automatically created for each deployment. The deployment uses the API key to automatically send traces to LangSmith.
 
-When a deployment is deleted, the traces and the tracing project are not deleted.
+- The tracing project has the same name as the deployment.
+- The API key has the description `LangGraph Platform: <deployment_name>`.
+- The API key is never revealed and cannot be deleted manually.
+- When creating a deployment, the `LANGCHAIN_TRACING` and `LANGSMITH_API_KEY`/`LANGCHAIN_API_KEY` environment variables do not need to be specified; they are set automatically by the control plane.
+
+When a deployment is deleted, the traces and the tracing project are not deleted. However, the API will be deleted when the deployment is deleted.

docs/docs/reference/runtime.md

@@ -0,0 +1,18 @@
+# Runtime
+
+::: langgraph.runtime.Runtime
+    options:
+      show_root_heading: true
+      show_root_full_path: false
+      members:
+        - context
+        - store
+        - stream_writer
+        - previous
+
+::: langgraph.runtime
+    options:
+      members:
+        - get_runtime
+
+

docs/mkdocs.yml

@@ -250,6 +250,7 @@ nav:
       - Storage: reference/store.md
       - Caching: reference/cache.md
       - Types: reference/types.md
+      - Runtime: reference/runtime.md
       - Config: reference/config.md
       - Errors: reference/errors.md
       - Constants: reference/constants.md

libs/checkpoint-sqlite/langgraph/store/sqlite/base.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import concurrent.futures
 import datetime
 import logging
+import re
 import sqlite3
 import threading
 from collections import defaultdict
@@ -107,6 +108,23 @@ def _decode_ns_text(namespace: str) -> tuple[str, ...]:
     return tuple(namespace.split("."))
 
 
+def _validate_filter_key(key: str) -> None:
+    """Validate that a filter key is safe for use in SQL queries.
+
+    Args:
+        key: The filter key to validate
+
+    Raises:
+        ValueError: If the key contains invalid characters that could enable SQL injection
+    """
+    # Allow alphanumeric characters, underscores, dots, and hyphens
+    # This covers typical JSON property names while preventing SQL injection
+    if not re.match(r"^[a-zA-Z0-9_.-]+$", key):
+        raise ValueError(
+            f"Invalid filter key: '{key}'. Filter keys must contain only alphanumeric characters, underscores, dots, and hyphens."
+        )
+
+
 def _json_loads(content: bytes | str | orjson.Fragment) -> Any:
     if isinstance(content, orjson.Fragment):
         if hasattr(content, "buf"):
@@ -372,6 +390,8 @@ class BaseSqliteStore:
             filter_conditions = []
             if op.filter:
                 for key, value in op.filter.items():
+                    _validate_filter_key(key)
+
                     if isinstance(value, dict):
                         for op_name, val in value.items():
                             condition, filter_params_ = self._get_filter_condition(
@@ -622,6 +642,8 @@ class BaseSqliteStore:
 
     def _get_filter_condition(self, key: str, op: str, value: Any) -> tuple[str, list]:
         """Helper to generate filter conditions."""
+        _validate_filter_key(key)
+
         # We need to properly format values for SQLite JSON extraction comparison
         if op == "$eq":
             if isinstance(value, str):
@@ -858,6 +880,8 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
     def _get_filter_condition(self, key: str, op: str, value: Any) -> tuple[str, list]:
         """Helper to generate filter conditions."""
+        _validate_filter_key(key)
+
         # We need to properly format values for SQLite JSON extraction comparison
         if op == "$eq":
             if isinstance(value, str):

libs/checkpoint-sqlite/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "2.0.10"
+version = "2.0.11"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.9"

libs/checkpoint-sqlite/tests/test_store.py

@@ -1047,3 +1047,23 @@ def test_search_items(
         for ns in test_namespaces:
             key = f"item_{ns[-1]}"
             store.delete(ns, key)
+
+
+def test_sql_injection_vulnerability(store: SqliteStore) -> None:
+    """Test that SQL injection via malicious filter keys is prevented."""
+    # Add public and private documents
+    store.put(("docs",), "public", {"access": "public", "data": "public info"})
+    store.put(
+        ("docs",), "private", {"access": "private", "data": "secret", "password": "123"}
+    )
+
+    # Normal query - returns 1 public document
+    normal = store.search(("docs",), filter={"access": "public"})
+    assert len(normal) == 1
+    assert normal[0].value["access"] == "public"
+
+    # SQL injection attempt via malicious key should raise ValueError
+    malicious_key = "access') = 'public' OR '1'='1' OR json_extract(value, '$."
+
+    with pytest.raises(ValueError, match="Invalid filter key"):
+        store.search(("docs",), filter={malicious_key: "dummy"})

libs/checkpoint-sqlite/uv.lock

@@ -346,7 +346,7 @@ dev = [
 
 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "2.0.10"
+version = "2.0.11"
 source = { editable = "." }
 dependencies = [
     { name = "aiosqlite" },

libs/cli/langgraph_cli/cli.py

@@ -153,6 +153,12 @@ OPT_POSTGRES_URI = click.option(
     help="Postgres URI to use for the database. Defaults to launching a local database",
 )
 
+OPT_API_VERSION = click.option(
+    "--api-version",
+    type=str,
+    help="API server version to use for the base image. If unspecified, the latest version will be used.",
+)
+
 
 @click.group()
 @click.version_option(version=__version__, prog_name="LangGraph CLI")
@@ -170,6 +176,7 @@ def cli():
 @OPT_DEBUGGER_BASE_URL
 @OPT_WATCH
 @OPT_POSTGRES_URI
+@OPT_API_VERSION
 @click.option(
     "--image",
     type=str,
@@ -203,6 +210,7 @@ def up(
     debugger_port: Optional[int],
     debugger_base_url: Optional[str],
     postgres_uri: Optional[str],
+    api_version: Optional[str],
     image: Optional[str],
     base_image: Optional[str],
 ):
@@ -225,6 +233,7 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
             debugger_port=debugger_port,
             debugger_base_url=debugger_base_url,
             postgres_uri=postgres_uri,
+            api_version=api_version,
             image=image,
             base_image=base_image,
         )
@@ -290,6 +299,7 @@ def _build(
     config: pathlib.Path,
     config_json: dict,
     base_image: Optional[str],
+    api_version: Optional[str],
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
@@ -300,7 +310,7 @@ def _build(
             subp_exec(
                 "docker",
                 "pull",
-                langgraph_cli.config.docker_tag(config_json, base_image),
+                langgraph_cli.config.docker_tag(config_json, base_image, api_version),
                 verbose=True,
             )
         )
@@ -314,7 +324,7 @@ def _build(
     ]
     # apply config
     stdin, additional_contexts = langgraph_cli.config.config_to_docker(
-        config, config_json, base_image
+        config, config_json, base_image, api_version
     )
     # add additional_contexts
     if additional_contexts:
@@ -355,6 +365,7 @@ def _build(
     "\n\n    \b\nExamples:\n    --base-image langchain/langgraph-server:0.2.18  # Pin to a specific patch version"
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
+@OPT_API_VERSION
 @click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
 @cli.command(
     help="📦 Build LangGraph API server Docker image.",
@@ -367,6 +378,7 @@ def build(
     config: pathlib.Path,
     docker_build_args: Sequence[str],
     base_image: Optional[str],
+    api_version: Optional[str],
     pull: bool,
     tag: str,
 ):
@@ -376,7 +388,15 @@ def build(
         config_json = langgraph_cli.config.validate_config_file(config)
         warn_non_wolfi_distro(config_json)
         _build(
-            runner, set, config, config_json, base_image, pull, tag, docker_build_args
+            runner,
+            set,
+            config,
+            config_json,
+            base_image,
+            api_version,
+            pull,
+            tag,
+            docker_build_args,
         )
 
 
@@ -456,12 +476,14 @@ tests
     "\n\n    \b\nExamples:\n    --base-image langchain/langgraph-server:0.2.18  # Pin to a specific patch version"
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
+@OPT_API_VERSION
 @log_command
 def dockerfile(
     save_path: str,
     config: pathlib.Path,
     add_docker_compose: bool,
     base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> None:
     save_path = pathlib.Path(save_path).absolute()
     secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
@@ -474,6 +496,7 @@ def dockerfile(
         config,
         config_json,
         base_image=base_image,
+        api_version=api_version,
     )
     with open(str(save_path), "w", encoding="utf-8") as f:
         f.write(dockerfile)
@@ -739,6 +762,7 @@ def prepare_args_and_stdin(
     debugger_port: Optional[int] = None,
     debugger_base_url: Optional[str] = None,
     postgres_uri: Optional[str] = None,
+    api_version: Optional[str] = None,
     # Like "my-tag" (if you already built it locally)
     image: Optional[str] = None,
     # Like "langchain/langgraphjs-api" or "langchain/langgraph-api
@@ -754,6 +778,7 @@ def prepare_args_and_stdin(
         postgres_uri=postgres_uri,
         image=image,  # Pass image to compose YAML generator
         base_image=base_image,
+        api_version=api_version,
     )
     args = [
         "--project-directory",
@@ -769,6 +794,7 @@ def prepare_args_and_stdin(
         config,
         watch=watch,
         base_image=langgraph_cli.config.default_base_image(config),
+        api_version=api_version,
         image=image,
     )
     return args, stdin
@@ -787,6 +813,7 @@ def prepare(
     debugger_port: Optional[int] = None,
     debugger_base_url: Optional[str] = None,
     postgres_uri: Optional[str] = None,
+    api_version: Optional[str] = None,
     image: Optional[str] = None,
     base_image: Optional[str] = None,
 ) -> tuple[list[str], str]:
@@ -799,7 +826,7 @@ def prepare(
             subp_exec(
                 "docker",
                 "pull",
-                langgraph_cli.config.docker_tag(config_json, base_image),
+                langgraph_cli.config.docker_tag(config_json, base_image, api_version),
                 verbose=verbose,
             )
         )
@@ -814,6 +841,7 @@ def prepare(
         debugger_port=debugger_port,
         debugger_base_url=debugger_base_url or f"http://127.0.0.1:{port}",
         postgres_uri=postgres_uri,
+        api_version=api_version,
         image=image,
         base_image=base_image,
     )

libs/cli/langgraph_cli/config.py

@@ -1213,6 +1213,7 @@ def python_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
+    api_version: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
     pip_installer = config.get("pip_installer", "auto")
@@ -1360,7 +1361,7 @@ ADD {relpath} /deps/{name}
                 "# -- End of JS dependencies install --",
             ]
         )
-    image_str = docker_tag(config, base_image)
+    image_str = docker_tag(config, base_image, api_version)
     docker_file_contents = [
         f"FROM {image_str}",
         "",
@@ -1402,10 +1403,11 @@ def node_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
+    api_version: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     faux_path = f"/deps/{config_path.parent.name}"
     install_cmd = _get_node_pm_install_cmd(config_path, config)
-    image_str = docker_tag(config, base_image)
+    image_str = docker_tag(config, base_image, api_version)
 
     env_vars: list[str] = []
 
@@ -1461,6 +1463,7 @@ def default_base_image(config: Config) -> str:
 def docker_tag(
     config: Config,
     base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> str:
     base_image = base_image or default_base_image(config)
 
@@ -1473,28 +1476,43 @@ def docker_tag(
     if "/langgraph-server" in base_image:
         return f"{base_image}-py{config['python_version']}"
 
+    # Build the standard tag format
+    language, version = None, None
     if config.get("node_version") and not config.get("python_version"):
-        return f"{base_image}:{config['node_version']}{distro_tag}"
-    return f"{base_image}:{config['python_version']}{distro_tag}"
+        language, version = "node", config["node_version"]
+    else:
+        language, version = "py", config["python_version"]
+
+    version_distro_tag = f"{version}{distro_tag}"
+
+    # Prepend API version if provided
+    if api_version:
+        full_tag = f"{api_version}-{language}{version_distro_tag}"
+    else:
+        full_tag = version_distro_tag
+
+    return f"{base_image}:{full_tag}"
 
 
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     base_image = base_image or default_base_image(config)
 
     if config.get("node_version") and not config.get("python_version"):
-        return node_config_to_docker(config_path, config, base_image)
+        return node_config_to_docker(config_path, config, base_image, api_version)
 
-    return python_config_to_docker(config_path, config, base_image)
+    return python_config_to_docker(config_path, config, base_image, api_version)
 
 
 def config_to_compose(
     config_path: pathlib.Path,
     config: Config,
     base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
     image: Optional[str] = None,
     watch: bool = False,
 ) -> str:
@@ -1531,7 +1549,7 @@ def config_to_compose(
 
     else:
         dockerfile, additional_contexts = config_to_docker(
-            config_path, config, base_image
+            config_path, config, base_image, api_version
         )
 
         additional_contexts_str = "\n".join(

libs/cli/langgraph_cli/docker.py

@@ -147,6 +147,8 @@ def compose_as_dict(
     image: Optional[str] = None,
     # Base image to use for the LangGraph API server
     base_image: Optional[str] = None,
+    # API version of the base image
+    api_version: Optional[str] = None,
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -252,6 +254,7 @@ def compose(
     postgres_uri: Optional[str] = None,
     image: Optional[str] = None,
     base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(
@@ -262,6 +265,7 @@ def compose(
         postgres_uri=postgres_uri,
         image=image,
         base_image=base_image,
+        api_version=api_version,
     )
     compose_str = dict_to_yaml(compose_content)
     return compose_str

libs/cli/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-cli"
-version = "0.3.5"
+version = "0.3.6"
 description = "CLI for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -574,3 +574,248 @@ def test_build_generate_proper_build_context():
         assert len(build_contexts) == 2, (
             f"Expected 2 build contexts, but found {len(build_contexts)}"
         )
+
+
+def test_dockerfile_command_with_api_version() -> None:
+    """Test the 'dockerfile' command with --api-version flag."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--api-version",
+                "0.2.74",
+            ],
+        )
+
+        # Assert command was successful
+        assert result.exit_code == 0, result.output
+        assert "✅ Created: Dockerfile" in result.output
+
+        # Check if Dockerfile was created and contains correct FROM line
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraph-api:0.2.74-py3.11" in dockerfile
+
+
+def test_dockerfile_command_with_api_version_and_base_image() -> None:
+    """Test the 'dockerfile' command with both --api-version and --base-image flags."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.12",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+        "image_distro": "wolfi",
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--api-version",
+                "1.0.0",
+                "--base-image",
+                "my-registry/custom-api",
+            ],
+        )
+
+        # Assert command was successful
+        assert result.exit_code == 0, result.output
+        assert "✅ Created: Dockerfile" in result.output
+
+        # Check if Dockerfile was created and contains correct FROM line
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM my-registry/custom-api:1.0.0-py3.12-wolfi" in dockerfile
+
+
+def test_dockerfile_command_with_api_version_nodejs() -> None:
+    """Test the 'dockerfile' command with --api-version flag for Node.js config."""
+    runner = CliRunner()
+    config_content = {
+        "node_version": "20",
+        "graphs": {"agent": "agent.js:graph"},
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.js"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--api-version",
+                "0.2.74",
+            ],
+        )
+
+        # Assert command was successful
+        assert result.exit_code == 0, result.output
+        assert "✅ Created: Dockerfile" in result.output
+
+        # Check if Dockerfile was created and contains correct FROM line
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraphjs-api:0.2.74-node20" in dockerfile
+
+
+def test_build_command_with_api_version() -> None:
+    """Test the 'build' command with --api-version flag."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+        "image_distro": "wolfi",  # Use wolfi to avoid warning messages
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        # Mock docker command since we don't want to actually build
+        with runner.isolated_filesystem():
+            result = runner.invoke(
+                cli,
+                [
+                    "build",
+                    "--tag",
+                    "test-image",
+                    "--config",
+                    str(temp_dir / "config.json"),
+                    "--api-version",
+                    "0.2.74",
+                    "--no-pull",  # Avoid pulling non-existent images
+                ],
+                catch_exceptions=True,
+            )
+
+        # Check that the build command is called with the correct tag
+        # The output should contain the docker build command with the api_version tag
+        assert "langchain/langgraph-api:0.2.74-py3.11-wolfi" in result.output
+
+
+def test_build_command_with_api_version_and_base_image() -> None:
+    """Test the 'build' command with both --api-version and --base-image flags."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.12",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+        "image_distro": "wolfi",  # Use wolfi to avoid warning messages
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        # Mock docker command since we don't want to actually build
+        with runner.isolated_filesystem():
+            result = runner.invoke(
+                cli,
+                [
+                    "build",
+                    "--tag",
+                    "test-image",
+                    "--config",
+                    str(temp_dir / "config.json"),
+                    "--api-version",
+                    "1.0.0",
+                    "--base-image",
+                    "my-registry/custom-api",
+                    "--no-pull",  # Avoid pulling non-existent images
+                ],
+                catch_exceptions=True,
+            )
+
+        # Check that the build command includes the api_version
+        assert "my-registry/custom-api:1.0.0-py3.12-wolfi" in result.output
+
+
+def test_prepare_args_and_stdin_with_api_version() -> None:
+    """Test prepare_args_and_stdin function with api_version parameter."""
+    config_path = pathlib.Path(__file__).parent / "langgraph.json"
+    config = validate_config(
+        Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
+    )
+    port = 8000
+    api_version = "0.2.74"
+
+    actual_args, actual_stdin = prepare_args_and_stdin(
+        capabilities=DEFAULT_DOCKER_CAPABILITIES,
+        config_path=config_path,
+        config=config,
+        docker_compose=None,
+        port=port,
+        watch=False,
+        api_version=api_version,
+    )
+
+    expected_args = [
+        "--project-directory",
+        str(pathlib.Path(__file__).parent.absolute()),
+        "-f",
+        "-",
+    ]
+
+    # Check that the args are correct
+    assert actual_args == expected_args
+
+    # Check that the stdin contains the correct FROM line with api_version
+    assert "FROM langchain/langgraph-api:0.2.74-py3.11" in actual_stdin
+
+
+def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
+    """Test prepare_args_and_stdin function with both api_version and image parameters."""
+    config_path = pathlib.Path(__file__).parent / "langgraph.json"
+    config = validate_config(
+        Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
+    )
+    port = 8000
+    api_version = "0.2.74"
+    image = "my-custom-image:latest"
+
+    actual_args, actual_stdin = prepare_args_and_stdin(
+        capabilities=DEFAULT_DOCKER_CAPABILITIES,
+        config_path=config_path,
+        config=config,
+        docker_compose=None,
+        port=port,
+        watch=False,
+        api_version=api_version,
+        image=image,
+    )
+
+    # When image is provided, api_version should be ignored for the image
+    # but the stdin should not contain a build section (since image is provided)
+    assert "pull_policy: build" not in actual_stdin

libs/cli/tests/unit_tests/test_config.py

@@ -1337,3 +1337,195 @@ def test_docker_tag_different_node_versions_with_distro():
         )
         tag = docker_tag(config)
         assert tag == expected_tag, f"Failed for Node.js {node_version}"
+
+
+def test_docker_tag_with_api_version():
+    """Test docker_tag function with api_version parameter."""
+
+    # Test 1: Python config with api_version and default distro
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
+
+    # Test 2: Python config with api_version and wolfi distro
+    config = validate_config(
+        {
+            "python_version": "3.12",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "image_distro": "wolfi",
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.12-wolfi"
+
+    # Test 3: Node.js config with api_version and default distro
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraphjs-api:0.2.74-node20"
+
+    # Test 4: Node.js config with api_version and wolfi distro
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+            "image_distro": "wolfi",
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraphjs-api:0.2.74-node20-wolfi"
+
+    # Test 5: Custom base image with api_version
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "base_image": "my-registry/custom-image",
+        }
+    )
+    tag = docker_tag(config, base_image="my-registry/custom-image", api_version="1.0.0")
+    assert tag == "my-registry/custom-image:1.0.0-py3.11"
+
+    # Test 6: api_version with different Python versions
+    for python_version in ["3.11", "3.12", "3.13"]:
+        config = validate_config(
+            {
+                "python_version": python_version,
+                "dependencies": ["."],
+                "graphs": {"agent": "./agent.py:graph"},
+            }
+        )
+        tag = docker_tag(config, api_version="0.2.74")
+        assert tag == f"langchain/langgraph-api:0.2.74-py{python_version}"
+
+    # Test 7: Without api_version should work as before
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    tag = docker_tag(config)
+    assert tag == "langchain/langgraph-api:3.11"
+
+    # Test 8: api_version with multiplatform config (should default to Python)
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "node_version": "20",
+            "dependencies": ["."],
+            "graphs": {"python": "./agent.py:graph", "js": "./agent.js:graph"},
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
+
+    # Test 9: api_version with _INTERNAL_docker_tag should ignore api_version
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "_INTERNAL_docker_tag": "internal-tag",
+        }
+    )
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:internal-tag"
+
+    # Test 10: api_version with langgraph-server base image should follow special format
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    tag = docker_tag(
+        config, base_image="langchain/langgraph-server:0.2", api_version="0.2.74"
+    )
+    assert tag == "langchain/langgraph-server:0.2-py3.11"
+
+
+def test_config_to_docker_with_api_version():
+    """Test config_to_docker function with api_version parameter."""
+
+    # Test Python config with api_version
+    graphs = {"agent": "./agent.py:graph"}
+    actual_docker_stdin, additional_contexts = config_to_docker(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        api_version="0.2.74",
+    )
+
+    # Check that the FROM line uses the api_version
+    lines = actual_docker_stdin.split("\n")
+    from_line = lines[0]
+    assert from_line == "FROM langchain/langgraph-api:0.2.74-py3.11"
+
+    # Test Node.js config with api_version
+    graphs = {"agent": "./agent.js:graph"}
+    actual_docker_stdin, additional_contexts = config_to_docker(
+        PATH_TO_CONFIG,
+        validate_config({"node_version": "20", "graphs": graphs}),
+        "langchain/langgraphjs-api",
+        api_version="0.2.74",
+    )
+
+    # Check that the FROM line uses the api_version
+    lines = actual_docker_stdin.split("\n")
+    from_line = lines[0]
+    assert from_line == "FROM langchain/langgraphjs-api:0.2.74-node20"
+
+
+def test_config_to_compose_with_api_version():
+    """Test config_to_compose function with api_version parameter."""
+
+    # Test Python config with api_version
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+
+    actual_compose_str = config_to_compose(
+        PATH_TO_CONFIG,
+        config,
+        "langchain/langgraph-api",
+        api_version="0.2.74",
+    )
+
+    # Check that the compose file includes the correct FROM line with api_version
+    assert "FROM langchain/langgraph-api:0.2.74-py3.11" in actual_compose_str
+
+    # Test Node.js config with api_version
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+        }
+    )
+
+    actual_compose_str = config_to_compose(
+        PATH_TO_CONFIG,
+        config,
+        "langchain/langgraphjs-api",
+        api_version="0.2.74",
+    )
+
+    # Check that the compose file includes the correct FROM line with api_version
+    assert "FROM langchain/langgraphjs-api:0.2.74-node20" in actual_compose_str

libs/cli/tests/unit_tests/test_docker.py

@@ -146,3 +146,220 @@ services:
             REDIS_URI: redis://langgraph-redis:6379
             POSTGRES_URI: {DEFAULT_POSTGRES_URI}"""
     assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_with_api_version():
+    """Test compose function with api_version parameter."""
+    port = 8123
+    api_version = "0.2.74"
+
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES, port=port, api_version=api_version
+    )
+
+    # The compose function should generate a compose file that doesn't directly
+    # reference the api_version, since it's handled in the docker tag creation
+    # when building the image. The compose function mainly sets up services.
+    expected_compose_str = f"""volumes:
+    langgraph-data:
+        driver: local
+services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-postgres:
+        image: pgvector/pgvector:pg16
+        ports:
+            - "5433:5432"
+        environment:
+            POSTGRES_DB: postgres
+            POSTGRES_USER: postgres
+            POSTGRES_PASSWORD: postgres
+        command:
+            - postgres
+            - -c
+            - shared_preload_libraries=vector
+        volumes:
+            - langgraph-data:/var/lib/postgresql/data
+        healthcheck:
+            test: pg_isready -U postgres
+            start_period: 10s
+            timeout: 1s
+            retries: 5
+            interval: 5s
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+            langgraph-postgres:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {DEFAULT_POSTGRES_URI}"""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_with_api_version_and_base_image():
+    """Test compose function with both api_version and base_image parameters."""
+    port = 8123
+    api_version = "1.0.0"
+    base_image = "my-registry/custom-api"
+
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        api_version=api_version,
+        base_image=base_image,
+    )
+
+    # Similar to the previous test - the compose function doesn't directly embed
+    # the api_version or base_image into the compose file since those are handled
+    # during the docker build process
+    expected_compose_str = f"""volumes:
+    langgraph-data:
+        driver: local
+services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-postgres:
+        image: pgvector/pgvector:pg16
+        ports:
+            - "5433:5432"
+        environment:
+            POSTGRES_DB: postgres
+            POSTGRES_USER: postgres
+            POSTGRES_PASSWORD: postgres
+        command:
+            - postgres
+            - -c
+            - shared_preload_libraries=vector
+        volumes:
+            - langgraph-data:/var/lib/postgresql/data
+        healthcheck:
+            test: pg_isready -U postgres
+            start_period: 10s
+            timeout: 1s
+            retries: 5
+            interval: 5s
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+            langgraph-postgres:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {DEFAULT_POSTGRES_URI}"""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_with_api_version_and_custom_postgres():
+    """Test compose function with api_version and custom postgres URI."""
+    port = 8123
+    api_version = "0.2.74"
+    custom_postgres_uri = "postgresql://user:pass@external-db:5432/mydb"
+
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        api_version=api_version,
+        postgres_uri=custom_postgres_uri,
+    )
+
+    expected_compose_str = f"""services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {custom_postgres_uri}"""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_with_api_version_and_debugger():
+    """Test compose function with api_version and debugger port."""
+    port = 8123
+    debugger_port = 8001
+    api_version = "0.2.74"
+
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        api_version=api_version,
+        debugger_port=debugger_port,
+    )
+
+    expected_compose_str = f"""volumes:
+    langgraph-data:
+        driver: local
+services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-postgres:
+        image: pgvector/pgvector:pg16
+        ports:
+            - "5433:5432"
+        environment:
+            POSTGRES_DB: postgres
+            POSTGRES_USER: postgres
+            POSTGRES_PASSWORD: postgres
+        command:
+            - postgres
+            - -c
+            - shared_preload_libraries=vector
+        volumes:
+            - langgraph-data:/var/lib/postgresql/data
+        healthcheck:
+            test: pg_isready -U postgres
+            start_period: 10s
+            timeout: 1s
+            retries: 5
+            interval: 5s
+    langgraph-debugger:
+        image: langchain/langgraph-debugger
+        restart: on-failure
+        depends_on:
+            langgraph-postgres:
+                condition: service_healthy
+        ports:
+            - "{debugger_port}:3968"
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+            langgraph-postgres:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {DEFAULT_POSTGRES_URI}"""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str

libs/cli/uv.lock

@@ -531,7 +531,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-cli"
-version = "0.3.5"
+version = "0.3.6"
 source = { editable = "." }
 dependencies = [
     { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },

libs/langgraph/langgraph/func/__init__.py

@@ -262,6 +262,11 @@ class entrypoint(Generic[ContextT]):
         cache_policy: A cache policy to use for caching the results of the workflow.
         retry_policy: A retry policy (or list of policies) to use for the workflow in case of a failure.
 
+    !!! warning "`config_schema` Deprecated"
+        The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
+        Please use `context_schema` instead to specify the schema for run-scoped context.
+
+
     Example: Using entrypoint and tasks
         ```python
         import time

libs/langgraph/langgraph/graph/state.py

@@ -129,6 +129,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: The schema class that defines the input to the graph.
         output_schema: The schema class that defines the output from the graph.
 
+    !!! warning "`config_schema` Deprecated"
+        The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
+        Please use `context_schema` instead to specify the schema for run-scoped context.
+
     Example:
         ```python
         from langchain_core.runnables import RunnableConfig

libs/langgraph/langgraph/pregel/main.py

@@ -602,6 +602,7 @@ class Pregel(
     Defaults to None."""
 
     context_schema: type[ContextT] | None = None
+    """Specifies the schema for the context object that will be passed to the workflow."""
 
     config: RunnableConfig | None = None
 
@@ -2438,6 +2439,8 @@ class Pregel(
         Args:
             input: The input to the graph.
             config: The configuration to use for the run.
+            context: The static context to use for the run.
+                !!! version-added "Added in version 0.6.0."
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
                 Options are:
 
@@ -2694,6 +2697,8 @@ class Pregel(
         Args:
             input: The input to the graph.
             config: The configuration to use for the run.
+            context: The static context to use for the run.
+                !!! version-added "Added in version 0.6.0."
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
                 Options are:
 
@@ -2981,6 +2986,8 @@ class Pregel(
         Args:
             input: The input data for the graph. It can be a dictionary or any other type.
             config: Optional. The configuration for the graph run.
+            context: The static context to use for the run.
+                !!! version-added "Added in version 0.6.0."
             stream_mode: Optional[str]. The stream mode for the graph run. Default is "values".
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: Optional. The output keys to retrieve from the graph run.
@@ -3058,6 +3065,8 @@ class Pregel(
         Args:
             input: The input data for the computation. It can be a dictionary or any other type.
             config: Optional. The configuration for the computation.
+            context: The static context to use for the run.
+                !!! version-added "Added in version 0.6.0."
             stream_mode: Optional. The stream mode for the computation. Default is "values".
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: Optional. The output keys to include in the result. Default is None.

libs/langgraph/langgraph/pregel/remote.py

@@ -8,6 +8,7 @@ from typing import (
     cast,
 )
 
+import langsmith as ls
 from langchain_core.runnables import RunnableConfig
 from langchain_core.runnables.graph import (
     Edge as DrawableEdge,
@@ -118,6 +119,7 @@ class RemoteGraph(PregelProtocol):
         sync_client: SyncLangGraphClient | None = None,
         config: RunnableConfig | None = None,
         name: str | None = None,
+        distributed_tracing: bool = False,
     ):
         """Specify `url`, `api_key`, and/or `headers` to create default sync and async clients.
 
@@ -136,6 +138,7 @@ class RemoteGraph(PregelProtocol):
             name: Human-readable name to attach to the RemoteGraph instance.
                 This is useful for adding `RemoteGraph` as a subgraph via `graph.add_node(remote_graph)`.
                 If not provided, defaults to the assistant ID.
+            distributed_tracing: Whether to enable sending LangSmith distributed tracing headers.
         """
         self.assistant_id = assistant_id
         if name is None:
@@ -143,6 +146,7 @@ class RemoteGraph(PregelProtocol):
         else:
             self.name = name
         self.config = config
+        self.distributed_tracing = distributed_tracing
 
         if client is None and url is not None:
             client = get_client(url=url, api_key=api_key, headers=headers)
@@ -629,6 +633,7 @@ class RemoteGraph(PregelProtocol):
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
         **kwargs: Any,
     ) -> Iterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
@@ -644,6 +649,7 @@ class RemoteGraph(PregelProtocol):
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
             subgraphs: Stream from subgraphs.
+            headers: Additional headers to pass to the request.
             **kwargs: Additional params to pass to client.runs.stream.
 
         Yields:
@@ -672,6 +678,9 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             stream_subgraphs=subgraphs or stream is not None,
             if_not_exists="create",
+            headers=_merge_tracing_headers(headers)
+            if self.distributed_tracing
+            else headers,
             **kwargs,
         ):
             # split mode and ns
@@ -731,6 +740,7 @@ class RemoteGraph(PregelProtocol):
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
         **kwargs: Any,
     ) -> AsyncIterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
@@ -746,6 +756,7 @@ class RemoteGraph(PregelProtocol):
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
             subgraphs: Stream from subgraphs.
+            headers: Additional headers to pass to the request.
             **kwargs: Additional params to pass to client.runs.stream.
 
         Yields:
@@ -774,6 +785,9 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             stream_subgraphs=subgraphs or stream is not None,
             if_not_exists="create",
+            headers=_merge_tracing_headers(headers)
+            if self.distributed_tracing
+            else headers,
             **kwargs,
         ):
             # split mode and ns
@@ -847,6 +861,7 @@ class RemoteGraph(PregelProtocol):
         *,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        headers: dict[str, str] | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -856,6 +871,7 @@ class RemoteGraph(PregelProtocol):
             config: A `RunnableConfig` for graph invocation.
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
+            headers: Additional headers to pass to the request.
             **kwargs: Additional params to pass to RemoteGraph.stream.
 
         Returns:
@@ -866,6 +882,7 @@ class RemoteGraph(PregelProtocol):
             config=config,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
+            headers=headers,
             stream_mode="values",
             **kwargs,
         ):
@@ -882,6 +899,7 @@ class RemoteGraph(PregelProtocol):
         *,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        headers: dict[str, str] | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -891,6 +909,7 @@ class RemoteGraph(PregelProtocol):
             config: A `RunnableConfig` for graph invocation.
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
+            headers: Additional headers to pass to the request.
             **kwargs: Additional params to pass to RemoteGraph.astream.
 
         Returns:
@@ -901,6 +920,7 @@ class RemoteGraph(PregelProtocol):
             config=config,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
+            headers=headers,
             stream_mode="values",
             **kwargs,
         ):
@@ -909,3 +929,17 @@ class RemoteGraph(PregelProtocol):
             return chunk
         except UnboundLocalError:
             return None
+
+
+def _merge_tracing_headers(headers: dict[str, str] | None) -> dict[str, str] | None:
+    if rt := ls.get_current_run_tree():
+        tracing_headers = rt.to_headers()
+        baggage = tracing_headers.pop("baggage")
+        if headers:
+            if "baggage" in headers:
+                baggage = headers["baggage"] + "," + baggage
+            tracing_headers["baggage"] = baggage
+            headers.update(tracing_headers)
+        else:
+            headers = tracing_headers
+    return headers

libs/langgraph/langgraph/runtime.py

@@ -11,6 +11,8 @@ from langgraph.store.base import BaseStore
 from langgraph.types import _DC_KWARGS, StreamWriter
 from langgraph.typing import ContextT
 
+__all__ = ("Runtime", "get_runtime")
+
 
 def _no_op_stream_writer(_: Any) -> None: ...
 
@@ -24,9 +26,61 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
 
 @dataclass(**_DC_KWARGS)
 class Runtime(Generic[ContextT]):
-    """Convenience class that bundles run-scoped context and graph configuration.
+    """Convenience class that bundles run-scoped context and other runtime utilities.
 
-    !!! version-added "Added in version 1.0.0."
+    !!! version-added "Added in version v0.6.0"
+
+    Example:
+
+    ```python
+    from typing import TypedDict
+    from langgraph.graph import StateGraph
+    from dataclasses import dataclass
+    from langgraph.runtime import Runtime
+    from langgraph.store.memory import InMemoryStore
+
+
+    @dataclass
+    class Context:  # (1)!
+        user_id: str
+
+
+    class State(TypedDict, total=False):
+        response: str
+
+
+    store = InMemoryStore()  # (2)!
+    store.put(("users",), "user_123", {"name": "Alice"})
+
+
+    def personalized_greeting(state: State, runtime: Runtime[Context]) -> State:
+        '''Generate personalized greeting using runtime context and store.'''
+        user_id = runtime.context.user_id  # (3)!
+        name = "unknown_user"
+        if runtime.store:
+            if memory := runtime.store.get(("users",), user_id):
+                name = memory.value["name"]
+
+        response = f"Hello {name}! Nice to see you again."
+        return {"response": response}
+
+
+    graph = (
+        StateGraph(state_schema=State, context_schema=Context)
+        .add_node("personalized_greeting", personalized_greeting)
+        .set_entry_point("personalized_greeting")
+        .set_finish_point("personalized_greeting")
+        .compile(store=store)
+    )
+
+    result = graph.invoke({}, context=Context(user_id="user_123"))
+    print(result)
+    # > {'response': 'Hello Alice! Nice to see you again.'}
+    ```
+
+    1. Define a schema for the runtime context.
+    2. Create a store to persist memories and other information.
+    3. Use the runtime context to access the user_id.
     """
 
     context: ContextT = field(default=None)  # type: ignore[assignment]
@@ -76,7 +130,14 @@ DEFAULT_RUNTIME = Runtime(
 
 
 def get_runtime(context_schema: type[ContextT] | None = None) -> Runtime[ContextT]:
-    """Get the runtime for the current graph run."""
+    """Get the runtime for the current graph run.
+
+    Args:
+        context_schema: Optional schema used for type hinting the return type of the runtime.
+
+    Returns:
+        The runtime for the current graph run.
+    """
 
     # TODO: in an ideal world, we would have a context manager for
     # the runtime that's independent of the config. this will follow

libs/langgraph/langgraph/types.py

@@ -149,10 +149,25 @@ class Interrupt:
     """Information about an interrupt that occurred in a node.
 
     !!! version-added "Added in version 0.2.24."
+
+    !!! version-changed "Changed in version v0.4.0"
+        * `interrupt_id` was introduced as a property
+
+    !!! version-changed "Changed in version v0.6.0"
+
+        The following attributes have been removed:
+
+        * `ns`
+        * `when`
+        * `resumable`
+        * `interrupt_id`, deprecated in favor of `id`
     """
 
     value: Any
+    """The value associated with the interrupt."""
+
     id: str
+    """The ID of the interrupt. Can be used to resume the interrupt directly."""
 
     def __init__(
         self,

libs/langgraph/pyproject.toml

@@ -15,7 +15,7 @@ dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<3.0.0",
     "langgraph-sdk>=0.2.0,<0.3.0",
-    "langgraph-prebuilt>=0.5.0,<0.6.0",
+    "langgraph-prebuilt>=0.6.0,<0.7.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]

libs/langgraph/tests/test_remote_graph.py

@@ -3,6 +3,7 @@ import sys
 from typing import Annotated, Union
 from unittest.mock import AsyncMock, MagicMock
 
+import langsmith as ls
 import pytest
 from langchain_core.messages import AnyMessage, BaseMessage
 from langchain_core.runnables import RunnableConfig
@@ -899,21 +900,20 @@ async def test_langgraph_cloud_integration():
     }
 
     # test invoke
-    response = app.invoke(
+    app.invoke(
         input,
         config={"configurable": {"thread_id": "39a6104a-34e7-4f83-929c-d9eb163003c9"}},
         interrupt_before=["agent"],
     )
-    print("response:", response["messages"][-1].content)
 
     # test stream
-    async for chunk in app.astream(
+    async for _ in app.astream(
         input,
         config={"configurable": {"thread_id": "2dc3e3e7-39ac-4597-aa57-4404b944e82a"}},
         subgraphs=True,
         stream_mode=["debug", "messages"],
     ):
-        print("chunk:", chunk)
+        pass
 
     # test stream events
     async for chunk in remote_pregel.astream_events(
@@ -923,17 +923,16 @@ async def test_langgraph_cloud_integration():
         subgraphs=True,
         stream_mode=[],
     ):
-        print("chunk:", chunk)
+        pass
 
     # test get state
-    state_snapshot = await remote_pregel.aget_state(
+    await remote_pregel.aget_state(
         config={"configurable": {"thread_id": "2dc3e3e7-39ac-4597-aa57-4404b944e82a"}},
         subgraphs=True,
     )
-    print("state snapshot:", state_snapshot)
 
     # test update state
-    response = await remote_pregel.aupdate_state(
+    await remote_pregel.aupdate_state(
         config={"configurable": {"thread_id": "6645e002-ed50-4022-92a3-d0d186fdf812"}},
         values={
             "messages": [
@@ -944,18 +943,16 @@ async def test_langgraph_cloud_integration():
             ]
         },
     )
-    print("response:", response)
 
     # test get history
     async for state in remote_pregel.aget_state_history(
         config={"configurable": {"thread_id": "2dc3e3e7-39ac-4597-aa57-4404b944e82a"}},
     ):
-        print("state snapshot:", state)
+        pass
 
     # test get graph
     remote_pregel.graph_id = "fe096781-5601-53d2-b2f6-0d3403f7e9ca"  # must be UUID
-    graph = await remote_pregel.aget_graph(xray=True)
-    print("graph:", graph)
+    await remote_pregel.aget_graph(xray=True)
 
 
 def test_sanitize_config():
@@ -1181,3 +1178,73 @@ async def test_remote_graph_stream_messages_tuple(
     assert coerced_events == coerced_inmem_events
     # TODO: Fix the namespace matching in the next api release.
     # assert namespaces == inmem_namespaces
+
+
+@pytest.mark.anyio
+@pytest.mark.parametrize("distributed_tracing", [False, True])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_include_headers(distributed_tracing: bool, stream: bool):
+    mock_async_client = MagicMock()
+    async_iter = MagicMock()
+    return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+    async_iter.__aiter__.return_value = return_value
+    astream_mock = mock_async_client.runs.stream
+    astream_mock.return_value = async_iter
+
+    mock_sync_client = MagicMock()
+    sync_iter = MagicMock()
+    sync_iter.__iter__.return_value = return_value
+    stream_mock = mock_sync_client.runs.stream
+    stream_mock.return_value = async_iter
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        client=mock_async_client,
+        sync_client=mock_sync_client,
+        distributed_tracing=distributed_tracing,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    with ls.tracing_context(enabled=True, client=MagicMock()):
+        with ls.trace("foo"):
+            if stream:
+                async for _ in remote_pregel.astream(
+                    {"input": {"messages": [{"type": "human", "content": "hello"}]}},
+                    config,
+                    headers={"foo": "bar"},
+                ):
+                    pass
+
+            else:
+                await remote_pregel.ainvoke(
+                    {"input": {"messages": [{"type": "human", "content": "hello"}]}},
+                    config,
+                    headers={"foo": "bar"},
+                )
+    expected = {"foo": "bar"}
+    if distributed_tracing:
+        expected["langsmith-trace"] = AnyStr()
+        expected["baggage"] = AnyStr()
+
+    assert astream_mock.call_args.kwargs["headers"] == expected
+    stream_mock.assert_not_called()
+
+    with ls.tracing_context(enabled=True, client=MagicMock()):
+        with ls.trace("foo"):
+            if stream:
+                for _ in remote_pregel.stream(
+                    {"input": {"messages": [{"type": "human", "content": "hello"}]}},
+                    config,
+                    headers={"foo": "bar"},
+                ):
+                    pass
+
+            else:
+                remote_pregel.invoke(
+                    {"input": {"messages": [{"type": "human", "content": "hello"}]}},
+                    config,
+                    headers={"foo": "bar"},
+                )
+    assert stream_mock.call_args.kwargs["headers"] == expected

libs/langgraph/uv.lock

@@ -1364,7 +1364,7 @@ dev = [
 
 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "2.0.10"
+version = "2.0.11"
 source = { editable = "../checkpoint-sqlite" }
 dependencies = [
     { name = "aiosqlite" },
@@ -1394,7 +1394,7 @@ dev = [
 
 [[package]]
 name = "langgraph-cli"
-version = "0.3.5"
+version = "0.3.6"
 source = { editable = "../cli" }
 dependencies = [
     { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
@@ -1433,7 +1433,7 @@ dev = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "0.5.2"
+version = "0.6.0"
 source = { editable = "../prebuilt" }
 dependencies = [
     { name = "langchain-core" },
@@ -1481,7 +1481,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.2.0a1"
+version = "0.2.0"
 source = { editable = "../sdk-py" }
 dependencies = [
     { name = "httpx" },

libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py

@@ -364,6 +364,11 @@ def create_react_agent(
             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.
 
+    !!! warning "`config_schema` Deprecated"
+        The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
+        Please use `context_schema` instead to specify the schema for run-scoped context.
+
+
     Returns:
         A compiled LangChain runnable that can be used for chat interactions.
 

libs/prebuilt/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "0.5.2"
+version = "0.6.0"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.9"

libs/prebuilt/uv.lock

@@ -430,7 +430,7 @@ dev = [
 
 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "2.0.10"
+version = "2.0.11"
 source = { editable = "../checkpoint-sqlite" }
 dependencies = [
     { name = "aiosqlite" },
@@ -460,7 +460,7 @@ dev = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "0.5.2"
+version = "0.6.0"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -507,7 +507,7 @@ dev = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.2.0a1"
+version = "0.2.0"
 source = { editable = "../sdk-py" }
 dependencies = [
     { name = "httpx" },

libs/sdk-py/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-sdk"
-version = "0.2.0a1"
+version = "0.2.0"
 description = "SDK for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"

libs/sdk-py/uv.lock

@@ -119,7 +119,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.2.0a1"
+version = "0.2.0"
 source = { editable = "." }
 dependencies = [
     { name = "httpx" },