update

match the other bullets

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

@@ -151,6 +151,7 @@ class PoolConfig(TypedDict, total=False):
     """Connection pool settings for PostgreSQL connections.
 
     Controls connection lifecycle and resource utilization:
+
     - Small pools (1-5) suit low-concurrency workloads
     - Larger pools handle concurrent requests but consume more resources
     - Setting max_size prevents resource exhaustion under load
@@ -166,6 +167,7 @@ class PoolConfig(TypedDict, total=False):
     """Additional connection arguments passed to each connection in the pool.
     
     Default kwargs set automatically:
+
     - autocommit: True
     - prepare_threshold: 0
     - row_factory: dict_row
@@ -656,7 +658,8 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
             item = store.get(("users", "123"), "prefs")
         ```
 
-        Or using the convenient from_conn_string helper:
+        Or using the convenient `from_conn_string` helper:
+
         ```python
         from langgraph.store.postgres import PostgresStore
 

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

@@ -722,7 +722,8 @@ class SqliteStore(BaseSqliteStore, BaseStore):
         item = store.get(("users", "123"), "prefs")
         ```
 
-        Or using the convenient from_conn_string helper:
+        Or using the convenient `from_conn_string` helper:
+
         ```python
         from langgraph.store.sqlite import SqliteStore
 

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.9"
+__version__ = "0.4.11"

libs/cli/langgraph_cli/cli.py

@@ -336,13 +336,13 @@ def _build(
 
     # apply config
     stdin, additional_contexts = langgraph_cli.config.config_to_docker(
-        config,
-        config_json,
-        base_image,
-        api_version,
-        install_command,
-        build_command,
-        build_context,
+        config_path=config,
+        config=config_json,
+        base_image=base_image,
+        api_version=api_version,
+        install_command=install_command,
+        build_command=build_command,
+        build_context=build_context,
     )
     # add additional_contexts
     if additional_contexts:
@@ -522,8 +522,8 @@ def dockerfile(
 
     secho(f"📝 Generating Dockerfile at {save_path}", fg="yellow")
     dockerfile, additional_contexts = langgraph_cli.config.config_to_docker(
-        config,
-        config_json,
+        config_path=config,
+        config=config_json,
         base_image=base_image,
         api_version=api_version,
     )

libs/cli/langgraph_cli/config.py

@@ -824,6 +824,8 @@ def python_config_to_docker(
     config: Config,
     base_image: str,
     api_version: str | None = None,
+    *,
+    escape_variables: bool = False,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
     pip_installer = config.get("pip_installer", "auto")
@@ -1003,6 +1005,7 @@ ADD {relpath} /deps/{name}
         )
 
     # Add main dockerfile content
+    dep_vname = "$$dep" if escape_variables else "$dep"
     docker_file_contents.extend(
         [
             f"FROM {image_str}",
@@ -1013,10 +1016,10 @@ ADD {relpath} /deps/{name}
             "",
             "# -- Installing all local dependencies --",
             f"""RUN for dep in /deps/*; do \
-            echo "Installing $dep"; \
-            if [ -d "$dep" ]; then \
-                echo "Installing $dep"; \
-                (cd "$dep" && {global_reqs_pip_install} -e .); \
+            echo "Installing {dep_vname}"; \
+            if [ -d "{dep_vname}" ]; then \
+                echo "Installing {dep_vname}"; \
+                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
             fi; \
         done""",
             "# -- End of local dependencies install --",
@@ -1202,26 +1205,34 @@ def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
+    *,
     base_image: str | None = None,
     api_version: str | None = None,
     install_command: str | None = None,
     build_command: str | None = None,
     build_context: str | None = None,
+    escape_variables: bool = False,
 ) -> 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,
-            api_version,
-            install_command,
-            build_command,
-            build_context,
+            config_path=config_path,
+            config=config,
+            base_image=base_image,
+            api_version=api_version,
+            install_command=install_command,
+            build_command=build_command,
+            build_context=build_context,
         )
 
-    return python_config_to_docker(config_path, config, base_image, api_version)
+    return python_config_to_docker(
+        config_path=config_path,
+        config=config,
+        base_image=base_image,
+        api_version=api_version,
+        escape_variables=escape_variables,
+    )
 
 
 def config_to_compose(
@@ -1265,7 +1276,11 @@ def config_to_compose(
 
     else:
         dockerfile, additional_contexts = config_to_docker(
-            config_path, config, base_image, api_version
+            config_path=config_path,
+            config=config,
+            base_image=base_image,
+            api_version=api_version,
+            escape_variables=True,
         )
 
         additional_contexts_str = "\n".join(

libs/cli/pyproject.toml

@@ -19,7 +19,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.6.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.7.0 ; python_version >= '3.11'",
     "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
     "python-dotenv>=0.8.0",
 ]

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

@@ -150,7 +150,7 @@ services:
                 COPY --from=cli_1 . /deps/cli_1
                 # -- End of local package ../../.. --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}

libs/cli/tests/unit_tests/test_config.py

@@ -420,7 +420,7 @@ def test_config_to_docker_simple():
                 "http": {"app": "../../examples/my_app.py:app"},
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     expected_docker_stdin = f"""\
 # syntax=docker/dockerfile:1.4
@@ -483,7 +483,7 @@ def test_config_to_docker_outside_path():
     actual_docker_stdin, additional_contexts = config_to_docker(
         PATH_TO_CONFIG,
         validate_config({"dependencies": [".", ".."], "graphs": graphs}),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     expected_docker_stdin = (
         """\
@@ -544,7 +544,7 @@ def test_config_to_docker_pipconfig():
                 "pip_config_file": "pipconfig.txt",
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     expected_docker_stdin = (
         """\
@@ -585,7 +585,7 @@ def test_config_to_docker_invalid_inputs():
         config_to_docker(
             PATH_TO_CONFIG,
             validate_config({"dependencies": ["./missing"], "graphs": graphs}),
-            "langchain/langgraph-api",
+            base_image="langchain/langgraph-api",
         )
 
     # test missing local module
@@ -594,7 +594,7 @@ def test_config_to_docker_invalid_inputs():
         config_to_docker(
             PATH_TO_CONFIG,
             validate_config({"dependencies": ["."], "graphs": graphs}),
-            "langchain/langgraph-api",
+            base_image="langchain/langgraph-api",
         )
 
 
@@ -608,7 +608,7 @@ def test_config_to_docker_local_deps():
                 "graphs": graphs,
             }
         ),
-        "langchain/langgraph-api-custom",
+        base_image="langchain/langgraph-api-custom",
     )
     expected_docker_stdin = f"""\
 FROM langchain/langgraph-api-custom:3.11
@@ -654,7 +654,7 @@ dependencies = ["langchain"]"""
                 "graphs": graphs,
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     os.remove(pyproject_path)
     expected_docker_stdin = (
@@ -689,7 +689,7 @@ def test_config_to_docker_end_to_end():
                 "dockerfile_lines": ["ARG meow", "ARG foo"],
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.12
 ARG meow
@@ -734,7 +734,7 @@ def test_config_to_docker_nodejs():
                 "ui_config": {"shared": ["nuqs"]},
             }
         ),
-        "langchain/langgraphjs-api",
+        base_image="langchain/langgraphjs-api",
     )
     expected_docker_stdin = """FROM langchain/langgraphjs-api:20
 ARG meow
@@ -786,7 +786,7 @@ def test_config_to_docker_python_encryption_bad_path():
 def test_config_to_docker_python_encryption_formatted():
     # Test that encryption config is properly formatted in Docker output
     graphs = {"agent": "./graphs/agent.py:graph"}
-    actual_docker_stdin, additional_contexts = config_to_docker(
+    actual_docker_stdin, _ = config_to_docker(
         PATH_TO_CONFIG,
         validate_config(
             {
@@ -796,7 +796,7 @@ def test_config_to_docker_python_encryption_formatted():
                 "encryption": {"path": "./agent.py:my_encryption"},
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
     # Verify that LANGGRAPH_ENCRYPTION is in the docker output with the correct path
     assert "LANGGRAPH_ENCRYPTION=" in actual_docker_stdin
@@ -821,7 +821,7 @@ def test_config_to_docker_nodejs_internal_docker_tag():
                 "_INTERNAL_docker_tag": "my-tag",
             }
         ),
-        "langchain/langgraphjs-api",
+        base_image="langchain/langgraphjs-api",
     )
     expected_docker_stdin = """FROM langchain/langgraphjs-api:my-tag
 ARG meow
@@ -875,7 +875,7 @@ def test_config_to_docker_webhooks_python():
                 "webhooks": webhooks,
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
 
     # Ensure the ENV line is present and the payload round-trips via JSON
@@ -900,7 +900,7 @@ def test_config_to_docker_webhooks_node():
                 "webhooks": webhooks,
             }
         ),
-        "langchain/langgraphjs-api",
+        base_image="langchain/langgraphjs-api",
     )
 
     parsed = _extract_env_json(dockerfile, "LANGGRAPH_WEBHOOKS")
@@ -912,7 +912,7 @@ def test_config_to_docker_no_webhooks():
     dockerfile, _ = config_to_docker(
         PATH_TO_CONFIG,
         validate_config({"dependencies": ["."], "graphs": graphs}),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
 
     assert "ENV LANGGRAPH_WEBHOOKS=" not in dockerfile
@@ -930,7 +930,7 @@ def test_config_to_docker_gen_ui_python():
                 "ui_config": {"shared": ["nuqs"]},
             }
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
 
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
@@ -976,7 +976,7 @@ def test_config_to_docker_multiplatform():
         validate_config(
             {"node_version": "22", "dependencies": ["."], "graphs": graphs}
         ),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
     )
 
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
@@ -1024,7 +1024,7 @@ def test_config_to_docker_pip_installer():
         {**copy.deepcopy(base_config), "pip_installer": "auto"}
     )
     docker_auto, _ = config_to_docker(
-        PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_auto, base_image="langchain/langgraph-api:0.2.47"
     )
     assert "uv pip install --system " in docker_auto
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
@@ -1032,7 +1032,7 @@ def test_config_to_docker_pip_installer():
     # Test explicit pip setting
     config_pip = validate_config({**copy.deepcopy(base_config), "pip_installer": "pip"})
     docker_pip, _ = config_to_docker(
-        PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_pip, base_image="langchain/langgraph-api:0.2.47"
     )
     assert "uv pip install --system " not in docker_pip
     assert "pip install" in docker_pip
@@ -1041,7 +1041,7 @@ def test_config_to_docker_pip_installer():
     # Test explicit uv setting
     config_uv = validate_config({**copy.deepcopy(base_config), "pip_installer": "uv"})
     docker_uv, _ = config_to_docker(
-        PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_uv, base_image="langchain/langgraph-api:0.2.47"
     )
     assert "uv pip install --system " in docker_uv
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
@@ -1051,7 +1051,7 @@ def test_config_to_docker_pip_installer():
         {**copy.deepcopy(base_config), "pip_installer": "auto"}
     )
     docker_auto_old, _ = config_to_docker(
-        PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46"
+        PATH_TO_CONFIG, config_auto_old, base_image="langchain/langgraph-api:0.2.46"
     )
     assert "uv pip install --system " not in docker_auto_old
     assert "pip install" in docker_auto_old
@@ -1060,7 +1060,7 @@ def test_config_to_docker_pip_installer():
     # Test that missing pip_installer defaults to auto behavior
     config_default = validate_config(copy.deepcopy(base_config))
     docker_default, _ = config_to_docker(
-        PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_default, base_image="langchain/langgraph-api:0.2.47"
     )
     assert "uv pip install --system " in docker_default
 
@@ -1076,7 +1076,7 @@ def test_config_retain_build_tools():
         {**copy.deepcopy(base_config), "keep_pkg_tools": True}
     )
     docker_true, _ = config_to_docker(
-        PATH_TO_CONFIG, config_true, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_true, base_image="langchain/langgraph-api:0.2.47"
     )
     assert not any(
         "/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_true
@@ -1087,7 +1087,7 @@ def test_config_retain_build_tools():
         {**copy.deepcopy(base_config), "keep_pkg_tools": False}
     )
     docker_false, _ = config_to_docker(
-        PATH_TO_CONFIG, config_false, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_false, base_image="langchain/langgraph-api:0.2.47"
     )
     assert all(
         "/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_false
@@ -1098,7 +1098,7 @@ def test_config_retain_build_tools():
         {**copy.deepcopy(base_config), "keep_pkg_tools": ["pip", "setuptools"]}
     )
     docker_list, _ = config_to_docker(
-        PATH_TO_CONFIG, config_list, "langchain/langgraph-api:0.2.47"
+        PATH_TO_CONFIG, config_list, base_image="langchain/langgraph-api:0.2.47"
     )
     assert all(
         "/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_list
@@ -1137,7 +1137,7 @@ def test_config_to_compose_simple_config():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1178,7 +1178,7 @@ def test_config_to_compose_env_vars():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1223,7 +1223,7 @@ def test_config_to_compose_env_file():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1261,7 +1261,7 @@ def test_config_to_compose_watch():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1308,7 +1308,7 @@ def test_config_to_compose_end_to_end():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $$dep";             if [ -d "$$dep" ]; then                 echo "Installing $$dep";                 (cd "$$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1619,7 +1619,7 @@ def test_config_to_docker_with_api_version():
     actual_docker_stdin, additional_contexts = config_to_docker(
         PATH_TO_CONFIG,
         validate_config({"dependencies": ["."], "graphs": graphs}),
-        "langchain/langgraph-api",
+        base_image="langchain/langgraph-api",
         api_version="0.2.74",
     )
 
@@ -1633,7 +1633,7 @@ def test_config_to_docker_with_api_version():
     actual_docker_stdin, additional_contexts = config_to_docker(
         PATH_TO_CONFIG,
         validate_config({"node_version": "20", "graphs": graphs}),
-        "langchain/langgraphjs-api",
+        base_image="langchain/langgraphjs-api",
         api_version="0.2.74",
     )
 

libs/cli/uv.lock

@@ -385,49 +385,67 @@ wheels = [
 
 [[package]]
 name = "cryptography"
-version = "44.0.3"
+version = "46.0.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/53/d6/1411ab4d6108ab167d06254c5be517681f1e331f90edf1379895bcb87020/cryptography-44.0.3.tar.gz", hash = "sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053", size = 711096, upload-time = "2025-05-02T19:36:04.667Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9f/33/c00162f49c0e2fe8064a62cb92b93e50c74a72bc370ab92f86112b33ff62/cryptography-46.0.3.tar.gz", hash = "sha256:a8b17438104fed022ce745b362294d9ce35b4c2e45c1d958ad4a4b019285f4a1", size = 749258, upload-time = "2025-10-15T23:18:31.74Z" }
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 ]
 
 [[package]]

libs/langgraph/langgraph/_internal/_runnable.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import asyncio
 import enum
 import inspect
+import logging
 import sys
 import warnings
 from collections.abc import (
@@ -25,6 +26,7 @@ from typing import (
     cast,
 )
 
+from langchain_core.callbacks import AsyncCallbackManager, CallbackManager
 from langchain_core.runnables.base import (
     Runnable,
     RunnableConfig,
@@ -61,6 +63,86 @@ try:
 except ImportError:
     _StreamingCallbackHandler = None  # type: ignore
 
+logger = logging.getLogger(__name__)
+
+
+def _process_inputs(processor: Callable[[Any], Any] | None, inputs: Any) -> Any:
+    """Safely process trace inputs, returning error placeholder on failure."""
+    if processor is None:
+        return inputs
+    try:
+        return processor(inputs)
+    except Exception:
+        logger.exception("trace_inputs filter failed")
+        return {"error": "<trace_inputs processing failed>"}
+
+
+def _process_outputs(processor: Callable[[Any], Any] | None, outputs: Any) -> Any:
+    """Safely process trace outputs, returning error placeholder on failure."""
+    if processor is None:
+        return outputs
+    try:
+        return processor(outputs)
+    except Exception:
+        logger.exception("trace_outputs filter failed")
+        return {"error": "<trace_outputs processing failed>"}
+
+
+def _filter_langsmith_handlers(
+    callback_manager: CallbackManager,
+) -> CallbackManager:
+    """Filter out LangChainTracer handlers from a callback manager.
+
+    Used when traceable config has enabled=False - we want to fire callbacks
+    to custom handlers but skip LangSmith tracing.
+    """
+    filtered_handlers = [
+        h for h in callback_manager.handlers if not isinstance(h, LangChainTracer)
+    ]
+    filtered_inheritable = [
+        h
+        for h in callback_manager.inheritable_handlers
+        if not isinstance(h, LangChainTracer)
+    ]
+    # Create a new callback manager with filtered handlers
+    return CallbackManager(
+        handlers=filtered_handlers,
+        inheritable_handlers=filtered_inheritable,
+        parent_run_id=callback_manager.parent_run_id,
+        tags=callback_manager.tags,
+        inheritable_tags=callback_manager.inheritable_tags,
+        metadata=callback_manager.metadata,
+        inheritable_metadata=callback_manager.inheritable_metadata,
+    )
+
+
+def _filter_langsmith_handlers_async(
+    callback_manager: AsyncCallbackManager,
+) -> AsyncCallbackManager:
+    """Filter out LangChainTracer handlers from an async callback manager.
+
+    Used when traceable config has enabled=False - we want to fire callbacks
+    to custom handlers but skip LangSmith tracing.
+    """
+    filtered_handlers = [
+        h for h in callback_manager.handlers if not isinstance(h, LangChainTracer)
+    ]
+    filtered_inheritable = [
+        h
+        for h in callback_manager.inheritable_handlers
+        if not isinstance(h, LangChainTracer)
+    ]
+    # Create a new callback manager with filtered handlers
+    return AsyncCallbackManager(
+        handlers=filtered_handlers,
+        inheritable_handlers=filtered_inheritable,
+        parent_run_id=callback_manager.parent_run_id,
+        tags=callback_manager.tags,
+        inheritable_tags=callback_manager.inheritable_tags,
+        metadata=callback_manager.metadata,
+        inheritable_metadata=callback_manager.inheritable_metadata,
+    )
+
 
 def _set_config_context(
     config: RunnableConfig, run: Any = None
@@ -397,7 +479,9 @@ class RunnableCallable(Runnable):
             else:
                 run_manager.on_chain_end(ret)
         else:
-            ret = self.func(*args, **kwargs)
+            # Still need to set config context for get_config() to work
+            with set_config_context(config, None) as context:
+                ret = context.run(self.func, *args, **kwargs)
         if self.recurse and isinstance(ret, Runnable):
             return ret.invoke(input, config)
         return ret
@@ -470,7 +554,13 @@ class RunnableCallable(Runnable):
             else:
                 await run_manager.on_chain_end(ret)
         else:
-            ret = await self.afunc(*args, **kwargs)
+            # Still need to set config context for get_config() to work
+            coro = cast(Coroutine[None, None, Any], self.afunc(*args, **kwargs))
+            if ASYNCIO_ACCEPTS_CONTEXT:
+                with set_config_context(config, None) as context:
+                    ret = await asyncio.create_task(coro, context=context)
+            else:
+                ret = await coro
         if self.recurse and isinstance(ret, Runnable):
             return await ret.ainvoke(input, config)
         return ret
@@ -544,12 +634,20 @@ class RunnableSeq(Runnable):
         *steps: RunnableLike,
         name: str | None = None,
         trace_inputs: Callable[[Any], Any] | None = None,
+        trace_outputs: Callable[[Any], Any] | None = None,
+        trace: bool = True,
+        skip_langsmith: bool = False,
     ) -> None:
         """Create a new RunnableSeq.
 
         Args:
             steps: The steps to include in the sequence.
             name: The name of the `Runnable`.
+            trace_inputs: Optional function to transform inputs before tracing.
+            trace_outputs: Optional function to transform outputs before tracing.
+            trace: Whether to trace this sequence. Defaults to True.
+            skip_langsmith: If True, filter out LangChainTracer handlers but keep
+                other callbacks. Used when traceable config has enabled=False.
 
         Raises:
             ValueError: If the sequence has less than 2 steps.
@@ -569,6 +667,9 @@ class RunnableSeq(Runnable):
         self.steps = steps_flat
         self.name = name
         self.trace_inputs = trace_inputs
+        self.trace_outputs = trace_outputs
+        self.trace = trace
+        self.skip_langsmith = skip_langsmith
 
     def __or__(
         self,
@@ -625,43 +726,58 @@ class RunnableSeq(Runnable):
     ) -> Any:
         if config is None:
             config = ensure_config()
-        # setup callbacks and context
-        callback_manager = get_callback_manager_for_config(config)
-        # start the root run
-        run_manager = callback_manager.on_chain_start(
-            None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
-            name=config.get("run_name") or self.get_name(),
-            run_id=config.pop("run_id", None),
-        )
-        # invoke all steps in sequence
-        try:
-            for i, step in enumerate(self.steps):
-                # mark each step as a child run
-                config = patch_config(
-                    config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
-                )
-                # 1st step is the actual node,
-                # others are writers which don't need to be run in context
-                if i == 0:
-                    # get the run object
-                    for h in run_manager.handlers:
-                        if isinstance(h, LangChainTracer):
-                            run = h.run_map.get(str(run_manager.run_id))
-                            break
+
+        if self.trace:
+            # setup callbacks and context
+            callback_manager = get_callback_manager_for_config(config)
+            # Filter out LangChainTracer if skip_langsmith is set
+            if self.skip_langsmith:
+                callback_manager = _filter_langsmith_handlers(callback_manager)
+            # start the root run
+            run_manager = callback_manager.on_chain_start(
+                None,
+                _process_inputs(self.trace_inputs, input),
+                name=config.get("run_name") or self.get_name(),
+                run_id=config.pop("run_id", None),
+            )
+            # invoke all steps in sequence
+            try:
+                for i, step in enumerate(self.steps):
+                    # mark each step as a child run
+                    config = patch_config(
+                        config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
+                    )
+                    # 1st step is the actual node,
+                    # others are writers which don't need to be run in context
+                    if i == 0:
+                        # get the run object
+                        for h in run_manager.handlers:
+                            if isinstance(h, LangChainTracer):
+                                run = h.run_map.get(str(run_manager.run_id))
+                                break
+                        else:
+                            run = None
+                        # run in context
+                        with set_config_context(config, run) as context:
+                            input = context.run(step.invoke, input, config, **kwargs)
                     else:
-                        run = None
-                    # run in context
-                    with set_config_context(config, run) as context:
-                        input = context.run(step.invoke, input, config, **kwargs)
-                else:
-                    input = step.invoke(input, config)
-        # finish the root run
-        except BaseException as e:
-            run_manager.on_chain_error(e)
-            raise
+                        input = step.invoke(input, config)
+            # finish the root run
+            except BaseException as e:
+                run_manager.on_chain_error(e)
+                raise
+            else:
+                run_manager.on_chain_end(_process_outputs(self.trace_outputs, input))
+                return input
         else:
-            run_manager.on_chain_end(input)
+            # Still need to set config context for get_config() to work
+            with set_config_context(config, None) as context:
+                for i, step in enumerate(self.steps):
+                    input = (
+                        context.run(step.invoke, input, config, **kwargs)
+                        if i == 0
+                        else step.invoke(input, config)
+                    )
             return input
 
     async def ainvoke(
@@ -672,49 +788,75 @@ class RunnableSeq(Runnable):
     ) -> Any:
         if config is None:
             config = ensure_config()
-        # setup callbacks
-        callback_manager = get_async_callback_manager_for_config(config)
-        # start the root run
-        run_manager = await callback_manager.on_chain_start(
-            None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
-            name=config.get("run_name") or self.get_name(),
-            run_id=config.pop("run_id", None),
-        )
 
-        # invoke all steps in sequence
-        try:
-            for i, step in enumerate(self.steps):
-                # mark each step as a child run
-                config = patch_config(
-                    config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
-                )
-                # 1st step is the actual node,
-                # others are writers which don't need to be run in context
-                if i == 0:
-                    if ASYNCIO_ACCEPTS_CONTEXT:
-                        # get the run object
-                        for h in run_manager.handlers:
-                            if isinstance(h, LangChainTracer):
-                                run = h.run_map.get(str(run_manager.run_id))
-                                break
+        if self.trace:
+            # setup callbacks
+            callback_manager = get_async_callback_manager_for_config(config)
+            # Filter out LangChainTracer if skip_langsmith is set
+            if self.skip_langsmith:
+                callback_manager = _filter_langsmith_handlers_async(callback_manager)
+            # start the root run
+            run_manager = await callback_manager.on_chain_start(
+                None,
+                _process_inputs(self.trace_inputs, input),
+                name=config.get("run_name") or self.get_name(),
+                run_id=config.pop("run_id", None),
+            )
+
+            # invoke all steps in sequence
+            try:
+                for i, step in enumerate(self.steps):
+                    # mark each step as a child run
+                    config = patch_config(
+                        config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
+                    )
+                    # 1st step is the actual node,
+                    # others are writers which don't need to be run in context
+                    if i == 0:
+                        if ASYNCIO_ACCEPTS_CONTEXT:
+                            # get the run object
+                            for h in run_manager.handlers:
+                                if isinstance(h, LangChainTracer):
+                                    run = h.run_map.get(str(run_manager.run_id))
+                                    break
+                            else:
+                                run = None
+                            # run in context
+                            with set_config_context(config, run) as context:
+                                input = await asyncio.create_task(
+                                    step.ainvoke(input, config, **kwargs),
+                                    context=context,
+                                )
                         else:
-                            run = None
-                        # run in context
-                        with set_config_context(config, run) as context:
+                            input = await step.ainvoke(input, config, **kwargs)
+                    else:
+                        input = await step.ainvoke(input, config)
+            # finish the root run
+            except BaseException as e:
+                await run_manager.on_chain_error(e)
+                raise
+            else:
+                await run_manager.on_chain_end(
+                    _process_outputs(self.trace_outputs, input)
+                )
+                return input
+        else:
+            # Still need to set config context for get_config() to work
+            if ASYNCIO_ACCEPTS_CONTEXT:
+                with set_config_context(config, None) as context:
+                    for i, step in enumerate(self.steps):
+                        if i == 0:
                             input = await asyncio.create_task(
                                 step.ainvoke(input, config, **kwargs), context=context
                             )
-                    else:
+                        else:
+                            input = await step.ainvoke(input, config)
+            else:
+                for i, step in enumerate(self.steps):
+                    if i == 0:
                         input = await step.ainvoke(input, config, **kwargs)
-                else:
-                    input = await step.ainvoke(input, config)
-        # finish the root run
-        except BaseException as e:
-            await run_manager.on_chain_error(e)
-            raise
-        else:
-            await run_manager.on_chain_end(input)
+                    else:
+                        input = await step.ainvoke(input, config)
             return input
 
     def stream(
@@ -725,80 +867,20 @@ class RunnableSeq(Runnable):
     ) -> Iterator[Any]:
         if config is None:
             config = ensure_config()
-        # setup callbacks
-        callback_manager = get_callback_manager_for_config(config)
-        # start the root run
-        run_manager = callback_manager.on_chain_start(
-            None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
-            name=config.get("run_name") or self.get_name(),
-            run_id=config.pop("run_id", None),
-        )
-        # get the run object
-        for h in run_manager.handlers:
-            if isinstance(h, LangChainTracer):
-                run = h.run_map.get(str(run_manager.run_id))
-                break
-        else:
-            run = None
-        # create first step config
-        config = patch_config(
-            config,
-            callbacks=run_manager.get_child(f"seq:step:{1}"),
-        )
-        # run all in context
-        with set_config_context(config, run) as context:
-            try:
-                # stream the last steps
-                # transform the input stream of each step with the next
-                # steps that don't natively support transforming an input stream will
-                # buffer input in memory until all available, and then start emitting output
-                for idx, step in enumerate(self.steps):
-                    if idx == 0:
-                        iterator = step.stream(input, config, **kwargs)
-                    else:
-                        config = patch_config(
-                            config,
-                            callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
-                        )
-                        iterator = step.transform(iterator, config)
-                # populates streamed_output in astream_log() output if needed
-                if _StreamingCallbackHandler is not None:
-                    for h in run_manager.handlers:
-                        if isinstance(h, _StreamingCallbackHandler):
-                            iterator = h.tap_output_iter(run_manager.run_id, iterator)
-                # consume into final output
-                output = context.run(_consume_iter, iterator)
-                # sequence doesn't emit output, yield to mark as generator
-                yield
-            except BaseException as e:
-                run_manager.on_chain_error(e)
-                raise
-            else:
-                run_manager.on_chain_end(output)
 
-    async def astream(
-        self,
-        input: Input,
-        config: RunnableConfig | None = None,
-        **kwargs: Any | None,
-    ) -> AsyncIterator[Any]:
-        if config is None:
-            config = ensure_config()
-        # setup callbacks
-        callback_manager = get_async_callback_manager_for_config(config)
-        # start the root run
-        run_manager = await callback_manager.on_chain_start(
-            None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
-            name=config.get("run_name") or self.get_name(),
-            run_id=config.pop("run_id", None),
-        )
-        # stream the last steps
-        # transform the input stream of each step with the next
-        # steps that don't natively support transforming an input stream will
-        # buffer input in memory until all available, and then start emitting output
-        if ASYNCIO_ACCEPTS_CONTEXT:
+        if self.trace:
+            # setup callbacks
+            callback_manager = get_callback_manager_for_config(config)
+            # Filter out LangChainTracer if skip_langsmith is set
+            if self.skip_langsmith:
+                callback_manager = _filter_langsmith_handlers(callback_manager)
+            # start the root run
+            run_manager = callback_manager.on_chain_start(
+                None,
+                _process_inputs(self.trace_inputs, input),
+                name=config.get("run_name") or self.get_name(),
+                run_id=config.pop("run_id", None),
+            )
             # get the run object
             for h in run_manager.handlers:
                 if isinstance(h, LangChainTracer):
@@ -813,18 +895,136 @@ class RunnableSeq(Runnable):
             )
             # run all in context
             with set_config_context(config, run) as context:
+                try:
+                    # stream the last steps
+                    # transform the input stream of each step with the next
+                    # steps that don't natively support transforming an input stream will
+                    # buffer input in memory until all available, and then start emitting output
+                    for idx, step in enumerate(self.steps):
+                        if idx == 0:
+                            iterator = step.stream(input, config, **kwargs)
+                        else:
+                            config = patch_config(
+                                config,
+                                callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
+                            )
+                            iterator = step.transform(iterator, config)
+                    # populates streamed_output in astream_log() output if needed
+                    if _StreamingCallbackHandler is not None:
+                        for h in run_manager.handlers:
+                            if isinstance(h, _StreamingCallbackHandler):
+                                iterator = h.tap_output_iter(
+                                    run_manager.run_id, iterator
+                                )
+                    # consume into final output
+                    output = context.run(_consume_iter, iterator)
+                    # sequence doesn't emit output, yield to mark as generator
+                    yield
+                except BaseException as e:
+                    run_manager.on_chain_error(e)
+                    raise
+                else:
+                    run_manager.on_chain_end(
+                        _process_outputs(self.trace_outputs, output)
+                    )
+        else:
+            # No tracing - still need to set config context for get_config() to work
+            with set_config_context(config, None) as context:
+                for idx, step in enumerate(self.steps):
+                    if idx == 0:
+                        iterator = step.stream(input, config, **kwargs)
+                    else:
+                        iterator = step.transform(iterator, config)
+                context.run(_consume_iter, iterator)
+            yield
+
+    async def astream(
+        self,
+        input: Input,
+        config: RunnableConfig | None = None,
+        **kwargs: Any | None,
+    ) -> AsyncIterator[Any]:
+        if config is None:
+            config = ensure_config()
+
+        if self.trace:
+            # setup callbacks
+            callback_manager = get_async_callback_manager_for_config(config)
+            # Filter out LangChainTracer if skip_langsmith is set
+            if self.skip_langsmith:
+                callback_manager = _filter_langsmith_handlers_async(callback_manager)
+            # start the root run
+            run_manager = await callback_manager.on_chain_start(
+                None,
+                _process_inputs(self.trace_inputs, input),
+                name=config.get("run_name") or self.get_name(),
+                run_id=config.pop("run_id", None),
+            )
+            # stream the last steps
+            # transform the input stream of each step with the next
+            # steps that don't natively support transforming an input stream will
+            # buffer input in memory until all available, and then start emitting output
+            if ASYNCIO_ACCEPTS_CONTEXT:
+                # get the run object
+                for h in run_manager.handlers:
+                    if isinstance(h, LangChainTracer):
+                        run = h.run_map.get(str(run_manager.run_id))
+                        break
+                else:
+                    run = None
+                # create first step config
+                config = patch_config(
+                    config,
+                    callbacks=run_manager.get_child(f"seq:step:{1}"),
+                )
+                # run all in context
+                with set_config_context(config, run) as context:
+                    try:
+                        async with AsyncExitStack() as stack:
+                            for idx, step in enumerate(self.steps):
+                                if idx == 0:
+                                    aiterator = step.astream(input, config, **kwargs)
+                                else:
+                                    config = patch_config(
+                                        config,
+                                        callbacks=run_manager.get_child(
+                                            f"seq:step:{idx + 1}"
+                                        ),
+                                    )
+                                    aiterator = step.atransform(aiterator, config)
+                                if hasattr(aiterator, "aclose"):
+                                    stack.push_async_callback(aiterator.aclose)
+                            # populates streamed_output in astream_log() output if needed
+                            if _StreamingCallbackHandler is not None:
+                                for h in run_manager.handlers:
+                                    if isinstance(h, _StreamingCallbackHandler):
+                                        aiterator = h.tap_output_aiter(
+                                            run_manager.run_id, aiterator
+                                        )
+                            # consume into final output
+                            output = await asyncio.create_task(
+                                _consume_aiter(aiterator), context=context
+                            )
+                            # sequence doesn't emit output, yield to mark as generator
+                            yield
+                    except BaseException as e:
+                        await run_manager.on_chain_error(e)
+                        raise
+                    else:
+                        await run_manager.on_chain_end(
+                            _process_outputs(self.trace_outputs, output)
+                        )
+            else:
                 try:
                     async with AsyncExitStack() as stack:
                         for idx, step in enumerate(self.steps):
+                            config = patch_config(
+                                config,
+                                callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
+                            )
                             if idx == 0:
                                 aiterator = step.astream(input, config, **kwargs)
                             else:
-                                config = patch_config(
-                                    config,
-                                    callbacks=run_manager.get_child(
-                                        f"seq:step:{idx + 1}"
-                                    ),
-                                )
                                 aiterator = step.atransform(aiterator, config)
                             if hasattr(aiterator, "aclose"):
                                 stack.push_async_callback(aiterator.aclose)
@@ -836,46 +1036,29 @@ class RunnableSeq(Runnable):
                                         run_manager.run_id, aiterator
                                     )
                         # consume into final output
-                        output = await asyncio.create_task(
-                            _consume_aiter(aiterator), context=context
-                        )
+                        output = await _consume_aiter(aiterator)
                         # sequence doesn't emit output, yield to mark as generator
                         yield
                 except BaseException as e:
                     await run_manager.on_chain_error(e)
                     raise
                 else:
-                    await run_manager.on_chain_end(output)
+                    await run_manager.on_chain_end(
+                        _process_outputs(self.trace_outputs, output)
+                    )
         else:
-            try:
-                async with AsyncExitStack() as stack:
-                    for idx, step in enumerate(self.steps):
-                        config = patch_config(
-                            config,
-                            callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
-                        )
-                        if idx == 0:
-                            aiterator = step.astream(input, config, **kwargs)
-                        else:
-                            aiterator = step.atransform(aiterator, config)
-                        if hasattr(aiterator, "aclose"):
-                            stack.push_async_callback(aiterator.aclose)
-                    # populates streamed_output in astream_log() output if needed
-                    if _StreamingCallbackHandler is not None:
-                        for h in run_manager.handlers:
-                            if isinstance(h, _StreamingCallbackHandler):
-                                aiterator = h.tap_output_aiter(
-                                    run_manager.run_id, aiterator
-                                )
-                    # consume into final output
-                    output = await _consume_aiter(aiterator)
-                    # sequence doesn't emit output, yield to mark as generator
-                    yield
-            except BaseException as e:
-                await run_manager.on_chain_error(e)
-                raise
-            else:
-                await run_manager.on_chain_end(output)
+            # No tracing - just execute the steps directly
+            async with AsyncExitStack() as stack:
+                for idx, step in enumerate(self.steps):
+                    if idx == 0:
+                        aiterator = step.astream(input, config, **kwargs)
+                    else:
+                        aiterator = step.atransform(aiterator, config)
+                    if hasattr(aiterator, "aclose"):
+                        stack.push_async_callback(aiterator.aclose)
+                # consume into final output
+                await _consume_aiter(aiterator)
+                yield
 
 
 def _consume_iter(it: Iterator[Any]) -> Any:

libs/langgraph/langgraph/graph/state.py

@@ -78,6 +78,7 @@ from langgraph.types import (
     Command,
     RetryPolicy,
     Send,
+    ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
 from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
@@ -853,6 +854,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         Returns:
             CompiledStateGraph: The compiled `StateGraph`.
         """
+        checkpointer = ensure_valid_checkpointer(checkpointer)
+
         # assign default values
         interrupt_before = interrupt_before or []
         interrupt_after = interrupt_after or []

libs/langgraph/langgraph/pregel/_call.py

@@ -21,6 +21,7 @@ from langgraph._internal._runnable import (
     run_in_executor,
 )
 from langgraph.config import get_config
+from langgraph.pregel._read import _validate_traceable_config
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
 from langgraph.types import CachePolicy, RetryPolicy
 
@@ -192,6 +193,19 @@ def get_runnable_for_entrypoint(func: Callable[..., Any]) -> Runnable:
         return CACHE.setdefault(key, run)
 
 
+def _compose_trace_inputs(
+    base_fn: Callable[[Any], Any],
+    process_fn: Callable[[Any], Any],
+) -> Callable[[Any], Any]:
+    """Compose trace_inputs with process_inputs from traceable config."""
+
+    def composed(inputs: Any) -> Any:
+        exploded = base_fn(inputs)
+        return process_fn(exploded)
+
+    return composed
+
+
 def get_runnable_for_task(func: Callable[..., Any]) -> Runnable:
     key = (func, True)
     if key in CACHE:
@@ -206,10 +220,22 @@ def get_runnable_for_task(func: Callable[..., Any]) -> Runnable:
         else:
             name = str(func)
 
-        if is_async_callable(func):
+        # Check for traceable config early to handle __unwrapped__
+        raw_config = getattr(func, "__traceable_config__", None)
+        traceable_config = _validate_traceable_config(raw_config)
+
+        # Use unwrapped function if available to avoid double-tracing
+        # when @traceable and @task are used together
+        func_to_run: Callable[..., Any] = func
+        if traceable_config:
+            unwrapped = traceable_config.get("__unwrapped__")
+            if unwrapped is not None:
+                func_to_run = unwrapped
+
+        if is_async_callable(func_to_run):
             run = RunnableCallable(
                 None,
-                func,
+                func_to_run,
                 explode_args=True,
                 name=name,
                 trace=False,
@@ -217,20 +243,45 @@ def get_runnable_for_task(func: Callable[..., Any]) -> Runnable:
             )
         else:
             run = RunnableCallable(
-                func,
-                functools.wraps(func)(functools.partial(run_in_executor, None, func)),
+                func_to_run,
+                functools.wraps(func_to_run)(
+                    functools.partial(run_in_executor, None, func_to_run)
+                ),
                 explode_args=True,
                 name=name,
                 trace=False,
                 recurse=False,
             )
+
+        # Build trace_inputs - compose with process_inputs if provided
+        # Use original func for signature to match expected args
+        base_trace_inputs = functools.partial(
+            _explode_args_trace_inputs, inspect.signature(func)
+        )
+        process_inputs = (
+            traceable_config.get("process_inputs") if traceable_config else None
+        )
+        if process_inputs is not None:
+            trace_inputs = _compose_trace_inputs(base_trace_inputs, process_inputs)
+        else:
+            trace_inputs = base_trace_inputs
+
+        # Build seq_kwargs
+        seq_kwargs: dict[str, Any] = {
+            "name": name,
+            "trace_inputs": trace_inputs,
+        }
+        if traceable_config:
+            # Filter out LangChainTracer (skip LangSmith) but keep other callbacks
+            if traceable_config.get("enabled") is False:
+                seq_kwargs["skip_langsmith"] = True
+            if traceable_config.get("process_outputs"):
+                seq_kwargs["trace_outputs"] = traceable_config["process_outputs"]
+
         seq = RunnableSeq(
             run,
             ChannelWrite([ChannelWriteEntry(RETURN)]),
-            name=name,
-            trace_inputs=functools.partial(
-                _explode_args_trace_inputs, inspect.signature(func)
-            ),
+            **seq_kwargs,
         )
         if not _lookup_module_and_qualname(func):
             return seq

libs/langgraph/langgraph/pregel/_read.py

@@ -7,10 +7,15 @@ from typing import (
 )
 
 from langchain_core.runnables import Runnable, RunnableConfig
+from typing_extensions import TypedDict
 
 from langgraph._internal._config import merge_configs
 from langgraph._internal._constants import CONF, CONFIG_KEY_READ
-from langgraph._internal._runnable import RunnableCallable, RunnableSeq
+from langgraph._internal._runnable import (
+    RunnableCallable,
+    RunnableSeq,
+    coerce_to_runnable,
+)
 from langgraph.pregel._utils import find_subgraph_pregel
 from langgraph.pregel._write import ChannelWrite
 from langgraph.pregel.protocol import PregelProtocol
@@ -20,6 +25,32 @@ READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
 
 
+class TraceableConfig(TypedDict, total=False):
+    """Configuration extracted from @traceable decorated functions."""
+
+    process_inputs: Callable[[Any], Any] | None
+    process_outputs: Callable[[Any], Any] | None
+    enabled: bool | None
+    __unwrapped__: Callable[[Any], Any] | None
+
+
+def _validate_traceable_config(raw: Any) -> TraceableConfig | None:
+    """Validate __traceable_config__ has expected structure.
+
+    Returns validated config dict or None if invalid.
+    """
+    if not isinstance(raw, dict):
+        return None
+    # Support both "__unwrapped__" (langsmith) and "wrapped" (legacy) keys
+    unwrapped = raw.get("__unwrapped__") or raw.get("wrapped")
+    return {
+        "process_inputs": raw.get("process_inputs"),
+        "process_outputs": raw.get("process_outputs"),
+        "enabled": raw.get("enabled"),  # None means use external context
+        "__unwrapped__": unwrapped,
+    }
+
+
 class ChannelRead(RunnableCallable):
     """Implements the logic for reading state from CONFIG_KEY_READ.
     Usable both as a runnable as well as a static method to call imperatively."""
@@ -176,6 +207,7 @@ class PregelNode:
         attrs = {**self.__dict__, **update}
         # Drop the cached properties
         attrs.pop("flat_writers", None)
+        attrs.pop("_traceable_config", None)
         attrs.pop("node", None)
         attrs.pop("input_cache_key", None)
         return PregelNode(**attrs)
@@ -197,6 +229,31 @@ class PregelNode:
             writers.pop()
         return writers
 
+    @cached_property
+    def _traceable_config(self) -> TraceableConfig | None:
+        """Extract @traceable config if bound wraps a traceable function.
+
+        Returns validated TraceableConfig with:
+        - process_inputs: Optional input processing function
+        - process_outputs: Optional output processing function
+        - enabled: Whether tracing is enabled (None = honor external context)
+        - __unwrapped__: The original unwrapped function (if available)
+        """
+        if not isinstance(self.bound, RunnableCallable):
+            return None
+
+        func = self.bound.func or self.bound.afunc
+        if func is None:
+            return None
+
+        raw_config = getattr(func, "__traceable_config__", None)
+        if raw_config is None:
+            return None
+        config = _validate_traceable_config(raw_config)
+        if config is None:
+            return None
+        return config
+
     @cached_property
     def node(self) -> Runnable[Any, Any] | None:
         """Get a runnable that combines `bound` and `writers`."""
@@ -207,10 +264,24 @@ class PregelNode:
             return writers[0]
         elif self.bound is DEFAULT_BOUND:
             return RunnableSeq(*writers)
-        elif writers:
-            return RunnableSeq(self.bound, *writers)
-        else:
+        elif not writers:
             return self.bound
+        tc = self._traceable_config
+
+        seq_kwargs: dict[str, Any] = {}
+        if tc:
+            # Filter out LangChainTracer (skip LangSmith) but keep other callbacks
+            if tc.get("enabled") is False:
+                seq_kwargs["skip_langsmith"] = True
+            seq_kwargs["trace_inputs"] = tc.get("process_inputs")
+            seq_kwargs["trace_outputs"] = tc.get("process_outputs")
+
+        bound = self.bound
+        if tc and (unwrapped := tc.get("__unwrapped__")):
+            # We want to avoid double-tracing.
+            bound = coerce_to_runnable(unwrapped, name=None, trace=False)
+
+        return RunnableSeq(bound, *writers, **seq_kwargs)
 
     @cached_property
     def input_cache_key(self) -> INPUT_CACHE_KEY_TYPE:
@@ -218,9 +289,11 @@ class PregelNode:
         This is used to avoid calculating the same input multiple times."""
         return (
             self.mapper,
-            tuple(self.channels)
-            if isinstance(self.channels, list)
-            else (self.channels,),
+            (
+                tuple(self.channels)
+                if isinstance(self.channels, list)
+                else (self.channels,)
+            ),
         )
 
     def invoke(

libs/langgraph/langgraph/pregel/main.py

@@ -142,6 +142,7 @@ from langgraph.types import (
     StateSnapshot,
     StateUpdate,
     StreamMode,
+    ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, OutputT, StateT
 from langgraph.warnings import LangGraphDeprecatedSinceV10
@@ -642,7 +643,7 @@ class Pregel(
         input_channels: str | Sequence[str],
         step_timeout: float | None = None,
         debug: bool | None = None,
-        checkpointer: BaseCheckpointSaver | None = None,
+        checkpointer: Checkpointer = None,
         store: BaseStore | None = None,
         cache: BaseCache | None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] = (),
@@ -665,6 +666,8 @@ class Pregel(
             if context_schema is None:
                 context_schema = cast(type[ContextT], config_type)
 
+        checkpointer = ensure_valid_checkpointer(checkpointer)
+
         self.nodes = {
             k: v.build() if isinstance(v, NodeBuilder) else v for k, v in nodes.items()
         }

libs/langgraph/langgraph/types.py

@@ -56,6 +56,7 @@ __all__ = (
     "Durability",
     "interrupt",
     "Overwrite",
+    "ensure_valid_checkpointer",
 )
 
 Durability = Literal["sync", "async", "exit"]
@@ -73,6 +74,20 @@ Checkpointer = None | bool | BaseCheckpointSaver
 - False disables checkpointing, even if the parent graph has a checkpointer.
 - None inherits checkpointer from the parent graph."""
 
+
+def ensure_valid_checkpointer(checkpointer: Checkpointer) -> Checkpointer:
+    if checkpointer not in (None, True, False) and not isinstance(
+        checkpointer, BaseCheckpointSaver
+    ):
+        raise TypeError(
+            "Invalid checkpointer provided. Expected an instance of "
+            "`BaseCheckpointSaver`, `True`, `False`, or `None`. "
+            f"Received {type(checkpointer).__name__!s}. "
+            "Pass a proper saver (e.g., InMemorySaver, AsyncPostgresSaver)."
+        )
+    return checkpointer
+
+
 StreamMode = Literal[
     "values", "updates", "checkpoints", "tasks", "debug", "messages", "custom"
 ]

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.0.4"
+version = "1.0.5"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_large_cases.py

@@ -3038,7 +3038,7 @@ def test_message_graph(
     # add an extra message as if it came from "tools" node
     app_w_interrupt.update_state(config, ("ai", "an extra message"), as_node="tools")
 
-    # extra message is coerced BaseMessge and appended
+    # extra message is coerced BaseMessage and appended
     # now the next node is "agent" per the graph edges
     assert app_w_interrupt.get_state(config) == StateSnapshot(
         values=[
@@ -3762,7 +3762,7 @@ def test_root_graph(
     # add an extra message as if it came from "tools" node
     app_w_interrupt.update_state(config, ("ai", "an extra message"), as_node="tools")
 
-    # extra message is coerced BaseMessge and appended
+    # extra message is coerced BaseMessage and appended
     # now the next node is "agent" per the graph edges
     assert app_w_interrupt.get_state(config) == StateSnapshot(
         values=[

libs/langgraph/tests/test_pregel.py

@@ -120,6 +120,22 @@ def test_graph_validation() -> None:
         graph.invoke({"hello": "there"})
 
 
+def test_invalid_checkpointer_type() -> None:
+    class State(TypedDict):
+        foo: str
+
+    builder = StateGraph(State)
+    builder.add_node("start", lambda state: state)
+    builder.set_entry_point("start")
+    builder.set_finish_point("start")
+
+    class NotACheckpointer:
+        pass
+
+    with pytest.raises(TypeError, match="Invalid checkpointer provided"):
+        builder.compile(checkpointer=NotACheckpointer())
+
+
 def test_graph_validation_with_command() -> None:
     class State(TypedDict):
         foo: str

libs/langgraph/uv.lock

@@ -1345,7 +1345,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.4"
+version = "1.0.5"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1678,7 +1678,7 @@ inmem = [
 [package.metadata]
 requires-dist = [
     { name = "click", specifier = ">=8.1.7" },
-    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.6.0" },
+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.7.0" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
     { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -15,12 +15,12 @@ The module implements design patterns for:
 
 Key Components:
 
-- `ToolNode`: Main class for executing tools in LangGraph workflows
-- `InjectedState`: Annotation for injecting graph state into tools
-- `InjectedStore`: Annotation for injecting persistent store into tools
-- `ToolRuntime`: Runtime information for tools, bundling together `state`, `context`,
+- [`ToolNode`][langgraph.prebuilt.ToolNode]: Main class for executing tools in LangGraph workflows
+- [`InjectedState`][langgraph.prebuilt.InjectedState]: Annotation for injecting graph state into tools
+- [`InjectedStore`][langgraph.prebuilt.InjectedStore]: Annotation for injecting persistent store into tools
+- [`ToolRuntime`][langgraph.prebuilt.ToolRuntime]: Runtime information for tools, bundling together `state`, `context`,
     `config`, `stream_writer`, `tool_call_id`, and `store`
-- `tools_condition`: Utility function for conditional routing based on tool calls
+- [`tools_condition`][langgraph.prebuilt.tools_condition]: Utility function for conditional routing based on tool calls
 
 Typical Usage:
     ```python
@@ -614,8 +614,16 @@ class ToolNode(RunnableCallable):
     persistent storage, and control flow. Manages parallel execution,
     error handling.
 
+    Use `ToolNode` when building custom workflows that require fine-grained control over
+    tool execution—for example, custom routing logic, specialized error handling, or
+    non-standard agent architectures.
+
+    For standard ReAct-style agents, use [`create_agent`][langchain.agents.create_agent]
+    instead. It uses `ToolNode` internally with sensible defaults for the agent loop,
+    conditional routing, and error handling.
+
     Input Formats:
-        1. Graph state with `messages` key that has a list of messages:
+        1. **Graph state** with `messages` key that has a list of messages:
             - Common representation for agentic workflows
             - Supports custom messages key via `messages_key` parameter
 

libs/prebuilt/tests/test_react_agent.py

@@ -638,7 +638,7 @@ def test_react_agent_parallel_tool_calls(
     for event in agent.stream(
         {"messages": [("user", query)]}, config, stream_mode="values"
     ):
-        if "__interrupt__" not in event: 
+        if "__interrupt__" not in event:
             if messages := event.get("messages"):
                 message_types.append([m.type for m in messages])
 

libs/prebuilt/uv.lock

@@ -271,7 +271,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.4"
+version = "1.0.5"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },

libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.0"
+__version__ = "0.3.1"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/encryption/__init__.py

@@ -64,114 +64,6 @@ def _validate_handler(fn: typing.Callable, handler_type: str) -> None:
         )
 
 
-class _JsonEncryptDecorators:
-    """Dynamic decorator factory for JSON encryption handlers.
-
-    Supports both default and model-specific handlers:
-    - @encrypt.json - default handler for all models
-    - @encrypt.json.thread - handler for thread model
-    """
-
-    def __init__(self, parent: Encryption):
-        self._parent = parent
-
-    def __call__(self, fn: types.JsonEncryptor) -> types.JsonEncryptor:
-        """Register the default JSON encryption handler.
-
-        Args:
-            fn: The handler function
-
-        Returns:
-            The registered handler function
-
-        Raises:
-            DuplicateHandlerError: If handler already registered
-            TypeError: If handler has invalid signature
-        """
-        if self._parent._json_encryptor is not None:
-            raise DuplicateHandlerError("Default JSON encryptor already registered")
-        _validate_handler(fn, "Default JSON encryptor")
-        self._parent._json_encryptor = fn
-        return fn
-
-    def __getattr__(
-        self, model: str
-    ) -> typing.Callable[[types.JsonEncryptor], types.JsonEncryptor]:
-        """Dynamic attribute access for model-specific handlers.
-
-        Allows @encryption.encrypt.json.thread, @encryption.encrypt.json.assistant, etc.
-
-        Raises:
-            DuplicateHandlerError: If handler already registered for this model
-            TypeError: If handler has invalid signature
-        """
-
-        def decorator(fn: types.JsonEncryptor) -> types.JsonEncryptor:
-            if model in self._parent._json_encryptors:
-                raise DuplicateHandlerError(
-                    f"JSON encryptor for model '{model}' already registered"
-                )
-            _validate_handler(fn, f"JSON encryptor for model '{model}'")
-            self._parent._json_encryptors[model] = fn
-            return fn
-
-        return decorator
-
-
-class _JsonDecryptDecorators:
-    """Dynamic decorator factory for JSON decryption handlers.
-
-    Supports both default and model-specific handlers:
-    - @encryption.decrypt.json - default handler for all models
-    - @encryption.decrypt.json.thread - handler for thread model
-    """
-
-    def __init__(self, parent: Encryption):
-        self._parent = parent
-
-    def __call__(self, fn: types.JsonDecryptor) -> types.JsonDecryptor:
-        """Register the default JSON decryption handler.
-
-        Args:
-            fn: The handler function
-
-        Returns:
-            The registered handler function
-
-        Raises:
-            DuplicateHandlerError: If handler already registered
-            TypeError: If handler has invalid signature
-        """
-        if self._parent._json_decryptor is not None:
-            raise DuplicateHandlerError("Default JSON decryptor already registered")
-        _validate_handler(fn, "Default JSON decryptor")
-        self._parent._json_decryptor = fn
-        return fn
-
-    def __getattr__(
-        self, model: str
-    ) -> typing.Callable[[types.JsonDecryptor], types.JsonDecryptor]:
-        """Dynamic attribute access for model-specific handlers.
-
-        Allows @encryption.decrypt.json.thread, @encryption.decrypt.json.assistant, etc.
-
-        Raises:
-            DuplicateHandlerError: If handler already registered for this model
-            TypeError: If handler has invalid signature
-        """
-
-        def decorator(fn: types.JsonDecryptor) -> types.JsonDecryptor:
-            if model in self._parent._json_decryptors:
-                raise DuplicateHandlerError(
-                    f"JSON decryptor for model '{model}' already registered"
-                )
-            _validate_handler(fn, f"JSON decryptor for model '{model}'")
-            self._parent._json_decryptors[model] = fn
-            return fn
-
-        return decorator
-
-
 class _EncryptDecorators:
     """Decorators for encryption handlers.
 
@@ -181,7 +73,6 @@ class _EncryptDecorators:
 
     def __init__(self, parent: Encryption):
         self._parent = parent
-        self._json = _JsonEncryptDecorators(parent)
 
     def blob(self, fn: types.BlobEncryptor) -> types.BlobEncryptor:
         """Register a blob encryption handler.
@@ -212,29 +103,32 @@ class _EncryptDecorators:
         self._parent._blob_encryptor = fn
         return fn
 
-    @property
-    def json(self) -> _JsonEncryptDecorators:
-        """Access JSON encryption decorators.
-
-        Supports model-specific handlers:
-        - @encryption.encrypt.json - default handler for all models
-        - @encryption.encrypt.json.thread - handler for thread model only
-        - @encryption.encrypt.json.assistant - handler for assistant model only
+    def json(self, fn: types.JsonEncryptor) -> types.JsonEncryptor:
+        """Register the JSON encryption handler.
 
         Example:
             ```python
             @encryption.encrypt.json
-            async def default_encrypt(ctx: EncryptionContext, data: dict) -> dict:
-                # Default encryption for all models
+            async def encrypt_json(ctx: EncryptionContext, data: dict) -> dict:
+                # Encrypt the data
                 return encrypt_data(data)
-
-            @encryption.encrypt.json.thread
-            async def encrypt_thread(ctx: EncryptionContext, data: dict) -> dict:
-                # Special encryption for thread model only
-                return encrypt_thread_data(data)
             ```
+
+        Args:
+            fn: The encryption handler function
+
+        Returns:
+            The registered handler function
+
+        Raises:
+            DuplicateHandlerError: If JSON encryptor already registered
+            TypeError: If handler has invalid signature
         """
-        return self._json
+        if self._parent._json_encryptor is not None:
+            raise DuplicateHandlerError("JSON encryptor already registered")
+        _validate_handler(fn, "JSON encryptor")
+        self._parent._json_encryptor = fn
+        return fn
 
 
 class _DecryptDecorators:
@@ -246,7 +140,6 @@ class _DecryptDecorators:
 
     def __init__(self, parent: Encryption):
         self._parent = parent
-        self._json = _JsonDecryptDecorators(parent)
 
     def blob(self, fn: types.BlobDecryptor) -> types.BlobDecryptor:
         """Register a blob decryption handler.
@@ -277,29 +170,32 @@ class _DecryptDecorators:
         self._parent._blob_decryptor = fn
         return fn
 
-    @property
-    def json(self) -> _JsonDecryptDecorators:
-        """Access JSON decryption decorators.
-
-        Supports model-specific handlers:
-        - @encryption.decrypt.json - default handler for all models
-        - @encryption.decrypt.json.thread - handler for thread model only
-        - @encryption.decrypt.json.assistant - handler for assistant model only
+    def json(self, fn: types.JsonDecryptor) -> types.JsonDecryptor:
+        """Register the JSON decryption handler.
 
         Example:
             ```python
             @encryption.decrypt.json
-            async def default_decrypt(ctx: EncryptionContext, data: dict) -> dict:
-                # Default decryption for all models
+            async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
+                # Decrypt the data
                 return decrypt_data(data)
-
-            @encryption.decrypt.json.thread
-            async def decrypt_thread(ctx: EncryptionContext, data: dict) -> dict:
-                # Special decryption for thread model only
-                return decrypt_thread_data(data)
             ```
+
+        Args:
+            fn: The decryption handler function
+
+        Returns:
+            The registered handler function
+
+        Raises:
+            DuplicateHandlerError: If JSON decryptor already registered
+            TypeError: If handler has invalid signature
         """
-        return self._json
+        if self._parent._json_decryptor is not None:
+            raise DuplicateHandlerError("JSON decryptor already registered")
+        _validate_handler(fn, "JSON decryptor")
+        self._parent._json_decryptor = fn
+        return fn
 
 
 class Encryption:
@@ -336,6 +232,28 @@ class Encryption:
     Then the LangGraph server will load your encryption file and use it to
     encrypt/decrypt data at rest.
 
+    !!! warning "JSON Encryptors Must Preserve Keys"
+
+        JSON encryptors **must not add or remove keys** from the input dict.
+        Only values may be transformed. This constraint is **enforced at runtime
+        by the server** and exists because SQL JSONB merge operations (used for
+        partial updates) work at the key level.
+
+        **Correct (per-key encryption):**
+        ```python
+        # Input:  {"secret": "value", "plain": "x"}
+        # Output: {"secret": "<encrypted>", "plain": "x"}  ✓ Keys preserved
+        ```
+
+        **Incorrect (key consolidation):**
+        ```python
+        # Input:  {"secret": "value", "plain": "x"}
+        # Output: {"__encrypted__": "<blob>", "plain": "x"}  ✗ Key changed
+        ```
+
+        If your encryptor needs to store auxiliary data (DEK, IV, etc.), embed it
+        within the encrypted value itself, not as separate keys.
+
     ???+ example "Basic Usage"
 
         ```python
@@ -343,89 +261,48 @@ class Encryption:
 
         my_encryption = Encryption()
 
+        SKIP_FIELDS = {"tenant_id", "owner", "thread_id", "assistant_id"}
+        ENCRYPTED_PREFIX = "encrypted:"
+
         @my_encryption.encrypt.blob
         async def encrypt_blob(ctx: EncryptionContext, blob: bytes) -> bytes:
-            # Call your encryption service
-            return encrypted_blob
+            return your_encrypt_bytes(blob)
 
         @my_encryption.decrypt.blob
         async def decrypt_blob(ctx: EncryptionContext, blob: bytes) -> bytes:
-            # Call your decryption service
-            return decrypted_blob
+            return your_decrypt_bytes(blob)
 
         @my_encryption.encrypt.json
         async def encrypt_json(ctx: EncryptionContext, data: dict) -> dict:
-            # Practical encryption strategy:
-            # - "owner" field: unencrypted (for search/filtering)
-            # - "my.customer.org/" prefixed fields: encrypt VALUES only
-            # - All other fields: pass through unencrypted
-            encrypted = {}
-            for key, value in data.items():
-                if key.startswith("my.customer.org/"):
-                    # Encrypt VALUE for sensitive customer data
-                    encrypted[key] = encrypt_value(value)
+            result = {}
+            for k, v in data.items():
+                if k in SKIP_FIELDS or v is None:
+                    result[k] = v
                 else:
-                    # Pass through (including "owner" for search)
-                    encrypted[key] = value
-            return encrypted
+                    result[k] = ENCRYPTED_PREFIX + your_encrypt_string(v)
+            return result
 
         @my_encryption.decrypt.json
         async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
-            # Decrypt VALUES for "my.customer.org/" prefixed fields
-            decrypted = {}
-            for key, value in data.items():
-                if key.startswith("my.customer.org/"):
-                    decrypted[key] = decrypt_value(value)
+            result = {}
+            for k, v in data.items():
+                if isinstance(v, str) and v.startswith(ENCRYPTED_PREFIX):
+                    result[k] = your_decrypt_string(v[len(ENCRYPTED_PREFIX):])
                 else:
-                    decrypted[key] = value
-            return decrypted
-        ```
-
-    ???+ example "Model-Specific Handlers"
-
-        You can register different encryption handlers for different model types
-        (thread, assistant, run, cron, checkpoint, etc.):
-
-        ```python
-        from langgraph_sdk import Encryption, EncryptionContext
-
-        my_encryption = Encryption()
-
-        # Default handler for models without specific handlers
-        @my_encryption.encrypt.json
-        async def default_encrypt(ctx: EncryptionContext, data: dict) -> dict:
-            return standard_encrypt(data)
-
-        # Thread-specific handler (uses different KMS key)
-        @my_encryption.encrypt.json.thread
-        async def encrypt_thread(ctx: EncryptionContext, data: dict) -> dict:
-            return encrypt_with_thread_key(data)
-
-        # Assistant-specific handler
-        @my_encryption.encrypt.json.assistant
-        async def encrypt_assistant(ctx: EncryptionContext, data: dict) -> dict:
-            return encrypt_with_assistant_key(data)
-
-        # Same pattern for decryption
-        @my_encryption.decrypt.json
-        async def default_decrypt(ctx: EncryptionContext, data: dict) -> dict:
-            return standard_decrypt(data)
-
-        @my_encryption.decrypt.json.thread
-        async def decrypt_thread(ctx: EncryptionContext, data: dict) -> dict:
-            return decrypt_with_thread_key(data)
+                    result[k] = v
+            return result
         ```
 
     ???+ example "Field-Specific Logic"
 
-        The `ctx.field` attribute tells you which specific field is being encrypted,
-        allowing different logic within the same model:
+        The `ctx.model` and `ctx.field` attributes tell you which model type and
+        specific field is being encrypted, allowing different logic:
 
         ```python
-        @my_encryption.encrypt.json.thread
-        async def encrypt_thread(ctx: EncryptionContext, data: dict) -> dict:
+        @my_encryption.encrypt.json
+        async def encrypt_json(ctx: EncryptionContext, data: dict) -> dict:
             if ctx.field == "metadata":
-                # Thread metadata - standard encryption
+                # Metadata - standard encryption
                 return encrypt_standard(data)
             elif ctx.field == "values":
                 # Thread values - more sensitive, use stronger encryption
@@ -433,6 +310,49 @@ class Encryption:
             else:
                 return encrypt_standard(data)
         ```
+
+        !!! warning "Model/Field May Differ Between Encrypt and Decrypt"
+
+            Data encrypted with one `(model, field)` pair is **not guaranteed**
+            to be decrypted with the same pair. The server performs SQL JSONB
+            merges that can move encrypted values between models (e.g., cron
+            metadata → run metadata). Your decryption logic must handle data
+            regardless of the `ctx.model` or `ctx.field` values at decrypt time.
+
+            **Safe:** Use `ctx.model`/`ctx.field` for logging or metrics only.
+
+            **Safe:** Encrypt different keys based on `ctx.field`, but use a
+            single decrypt handler that decrypts any value with the encrypted
+            prefix (and passes through plaintext unchanged):
+
+            ```python
+            ENCRYPTED_PREFIX = "enc:"
+
+            @my_encryption.encrypt.json
+            async def encrypt_json(ctx: EncryptionContext, data: dict) -> dict:
+                # Encrypt different keys depending on the field
+                if ctx.field == "context":
+                    keys_to_encrypt = {"api_key", "secret_token"}
+                else:
+                    keys_to_encrypt = {"email", "ssn"}
+                return {
+                    k: ENCRYPTED_PREFIX + encrypt(v) if k in keys_to_encrypt else v
+                    for k, v in data.items()
+                }
+
+            @my_encryption.decrypt.json
+            async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
+                # Decrypt ANY value with the prefix, regardless of model/field
+                return {
+                    k: decrypt(v[len(ENCRYPTED_PREFIX):])
+                       if isinstance(v, str) and v.startswith(ENCRYPTED_PREFIX)
+                       else v
+                    for k, v in data.items()
+                }
+            ```
+
+            **Unsafe:** Using different encryption keys or algorithms based on
+            `ctx.model`/`ctx.field` will cause decryption failures.
     """
 
     __slots__ = (
@@ -440,9 +360,7 @@ class Encryption:
         "_blob_encryptor",
         "_context_handler",
         "_json_decryptor",
-        "_json_decryptors",
         "_json_encryptor",
-        "_json_encryptors",
         "decrypt",
         "encrypt",
     )
@@ -464,8 +382,6 @@ class Encryption:
         self._blob_decryptor: types.BlobDecryptor | None = None
         self._json_encryptor: types.JsonEncryptor | None = None
         self._json_decryptor: types.JsonDecryptor | None = None
-        self._json_encryptors: dict[str, types.JsonEncryptor] = {}
-        self._json_decryptors: dict[str, types.JsonDecryptor] = {}
         self._context_handler: types.ContextHandler | None = None
 
     def context(self, fn: types.ContextHandler) -> types.ContextHandler:
@@ -506,33 +422,33 @@ class Encryption:
         return fn
 
     def get_json_encryptor(
-        self, model: str | None = None
+        self,
+        _model: str | None = None,  # kept for langgraph-api compat
     ) -> types.JsonEncryptor | None:
-        """Get the JSON encryptor for a specific model.
+        """Get the JSON encryptor.
 
         Args:
-            model: The model type (e.g., "thread", "assistant"). If None, returns default.
+            _model: Ignored. Kept for backwards compatibility with langgraph-api
+                which passes model_type to this method.
 
         Returns:
-            Model-specific encryptor if registered, otherwise default encryptor, or None.
+            The JSON encryptor, or None if not registered.
         """
-        if model and model in self._json_encryptors:
-            return self._json_encryptors[model]
         return self._json_encryptor
 
     def get_json_decryptor(
-        self, model: str | None = None
+        self,
+        _model: str | None = None,  # kept for langgraph-api compat
     ) -> types.JsonDecryptor | None:
-        """Get the JSON decryptor for a specific model.
+        """Get the JSON decryptor.
 
         Args:
-            model: The model type (e.g., "thread", "assistant"). If None, returns default.
+            _model: Ignored. Kept for backwards compatibility with langgraph-api
+                which passes model_type to this method.
 
         Returns:
-            Model-specific decryptor if registered, otherwise default decryptor, or None.
+            The JSON decryptor, or None if not registered.
         """
-        if model and model in self._json_decryptors:
-            return self._json_decryptors[model]
         return self._json_decryptor
 
     def __repr__(self) -> str:
@@ -545,10 +461,6 @@ class Encryption:
             handlers.append("json_encryptor")
         if self._json_decryptor:
             handlers.append("json_decryptor")
-        if self._json_encryptors:
-            handlers.append(f"json_encryptors({list(self._json_encryptors.keys())})")
-        if self._json_decryptors:
-            handlers.append(f"json_decryptors({list(self._json_decryptors.keys())})")
         if self._context_handler:
             handlers.append("context_handler")
         return f"Encryption(handlers=[{', '.join(handlers)}])"

libs/sdk-py/tests/test_encryption.py

@@ -26,14 +26,6 @@ class TestHandlerValidation:
         async def json_dec(_ctx, data):
             return data
 
-        @encryption.encrypt.json.thread
-        async def thread_enc(_ctx, data):
-            return data
-
-        @encryption.decrypt.json.custom
-        async def custom_dec(_ctx, data):
-            return data
-
         # All duplicates should raise
         with pytest.raises(DuplicateHandlerError):
 
@@ -59,18 +51,6 @@ class TestHandlerValidation:
             async def dup(_ctx, data):
                 return data
 
-        with pytest.raises(DuplicateHandlerError):
-
-            @encryption.encrypt.json.thread
-            async def dup(_ctx, data):
-                return data
-
-        with pytest.raises(DuplicateHandlerError):
-
-            @encryption.decrypt.json.custom
-            async def dup(_ctx, data):
-                return data
-
     def test_handlers_must_be_async(self):
         """Sync functions raise TypeError."""
         encryption = Encryption()