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Merged
copybara-service merged 1 commit into from
May 6, 2026
+102 −42
Merged

chore: migrate legacy langgraph imports to maintain compatibility #6714

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12 changes: 10 additions & 2 deletions tests/unit/vertex_langchain/test_agent_engine_templates_langgraph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,12 @@ def test_query(self, langchain_dump_mock):
mocks.attach_mock(mock=agent._tmpl_attrs.get("runnable"), attribute="invoke")
agent.query(input="test query")
mocks.assert_has_calls(
[mock.call.invoke.invoke(input={"input": "test query"}, config=None)]
[
mock.call.invoke.invoke(
input={"input": "test query", "messages": [("user", "test query")]},
config=None,
)
]
)

def test_stream_query(self, langchain_dump_mock):
Expand All @@ -217,7 +222,10 @@ def test_stream_query(self, langchain_dump_mock):
agent._tmpl_attrs["runnable"].stream.return_value = []
list(agent.stream_query(input="test stream query"))
agent._tmpl_attrs["runnable"].stream.assert_called_once_with(
input={"input": "test stream query"},
input={
"input": "test stream query",
"messages": [("user", "test stream query")],
},
config=None,
)

Expand Down
12 changes: 10 additions & 2 deletions tests/unit/vertex_langchain/test_reasoning_engine_templates_langgraph.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,12 @@ def test_query(self, langchain_dump_mock):
mocks.attach_mock(mock=agent._runnable, attribute="invoke")
agent.query(input="test query")
mocks.assert_has_calls(
[mock.call.invoke.invoke(input={"input": "test query"}, config=None)]
[
mock.call.invoke.invoke(
input={"input": "test query", "messages": [("user", "test query")]},
config=None,
)
]
)

def test_stream_query(self, langchain_dump_mock):
Expand All @@ -217,7 +222,10 @@ def test_stream_query(self, langchain_dump_mock):
agent._runnable.stream.return_value = []
list(agent.stream_query(input="test stream query"))
agent._runnable.stream.assert_called_once_with(
input={"input": "test stream query"},
input={
"input": "test stream query",
"messages": [("user", "test stream query")],
},
config=None,
)

Expand Down
59 changes: 41 additions & 18 deletions vertexai/agent_engines/templates/langgraph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,11 +34,16 @@
BaseLanguageModel = Any

try:
from langchain_google_vertexai.functions_utils import _ToolsType
from langchain_google_genai.functions_utils import _ToolsType

_ToolLike = _ToolsType
except ImportError:
_ToolLike = Any
try:
from langchain_google_vertexai.functions_utils import _ToolsType

_ToolLike = _ToolsType
except ImportError:
_ToolLike = Any

try:
from opentelemetry.sdk import trace
Expand Down Expand Up @@ -87,17 +92,29 @@ def _default_model_builder(
Returns:
BaseLanguageModel: The language model.
"""
import vertexai
from google.cloud.aiplatform import initializer
from langchain_google_vertexai import ChatVertexAI

model_kwargs = model_kwargs or {}
current_project = initializer.global_config.project
current_location = initializer.global_config.location
vertexai.init(project=project, location=location)
model = ChatVertexAI(model_name=model_name, **model_kwargs)
vertexai.init(project=current_project, location=current_location)
return model
try:
from langchain_google_genai import ChatGoogleGenerativeAI

model = ChatGoogleGenerativeAI(
model=model_name,
project=project,
location=location,
vertexai=True,
**model_kwargs,
)
return model
except ImportError:
import vertexai
from google.cloud.aiplatform import initializer
from langchain_google_vertexai import ChatVertexAI

current_project = initializer.global_config.project
current_location = initializer.global_config.location
vertexai.init(project=project, location=location)
model = ChatVertexAI(model_name=model_name, **model_kwargs)
vertexai.init(project=current_project, location=current_location)
return model


def _default_runnable_builder(
Expand Down Expand Up @@ -554,13 +571,16 @@ def query(
Returns:
The output of querying the Agent with the given input and config.
"""
from langchain.load import dump as langchain_load_dump
try:
from langchain_core.load import dumpd
except ImportError:
from langchain.load.dump import dumpd

if isinstance(input, str):
input = {"input": input}
input = {"input": input, "messages": [("user", input)]}
if not self._tmpl_attrs.get("runnable"):
self.set_up()
return langchain_load_dump.dumpd(
return dumpd(
self._tmpl_attrs.get("runnable").invoke(
input=input, config=config, **kwargs
)
Expand All @@ -587,18 +607,21 @@ def stream_query(
Yields:
The output of querying the Agent with the given input and config.
"""
from langchain.load import dump as langchain_load_dump
try:
from langchain_core.load import dumpd
except ImportError:
from langchain.load.dump import dumpd

if isinstance(input, str):
input = {"input": input}
input = {"input": input, "messages": [("user", input)]}
if not self._tmpl_attrs.get("runnable"):
self.set_up()
for chunk in self._tmpl_attrs.get("runnable").stream(
input=input,
config=config,
**kwargs,
):
yield langchain_load_dump.dumpd(chunk)
yield dumpd(chunk)

def get_state_history(
self,
Expand Down
61 changes: 41 additions & 20 deletions vertexai/preview/reasoning_engines/templates/langgraph.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -42,11 +42,16 @@
RunnableSerializable = Any

try:
from langchain_google_vertexai.functions_utils import _ToolsType
from langchain_google_genai.functions_utils import _ToolsType

_ToolLike = _ToolsType
except ImportError:
_ToolLike = Any
try:
from langchain_google_vertexai.functions_utils import _ToolsType

_ToolLike = _ToolsType
except ImportError:
_ToolLike = Any

try:
from opentelemetry.sdk import trace
Expand Down Expand Up @@ -95,17 +100,29 @@ def _default_model_builder(
Returns:
BaseLanguageModel: The language model.
"""
import vertexai
from google.cloud.aiplatform import initializer
from langchain_google_vertexai import ChatVertexAI

model_kwargs = model_kwargs or {}
current_project = initializer.global_config.project
current_location = initializer.global_config.location
vertexai.init(project=project, location=location)
model = ChatVertexAI(model_name=model_name, **model_kwargs)
vertexai.init(project=current_project, location=current_location)
return model
try:
from langchain_google_genai import ChatGoogleGenerativeAI

model = ChatGoogleGenerativeAI(
model=model_name,
project=project,
location=location,
vertexai=True,
**model_kwargs,
)
return model
except ImportError:
import vertexai
from google.cloud.aiplatform import initializer
from langchain_google_vertexai import ChatVertexAI

current_project = initializer.global_config.project
current_location = initializer.global_config.location
vertexai.init(project=project, location=location)
model = ChatVertexAI(model_name=model_name, **model_kwargs)
vertexai.init(project=current_project, location=current_location)
return model


def _default_runnable_builder(
Expand Down Expand Up @@ -541,15 +558,16 @@ def query(
Returns:
The output of querying the Agent with the given input and config.
"""
from langchain.load import dump as langchain_load_dump
try:
from langchain_core.load import dumpd
except ImportError:
from langchain.load.dump import dumpd

if isinstance(input, str):
input = {"input": input}
input = {"input": input, "messages": [("user", input)]}
if not self._runnable:
self.set_up()
return langchain_load_dump.dumpd(
self._runnable.invoke(input=input, config=config, **kwargs)
)
return dumpd(self._runnable.invoke(input=input, config=config, **kwargs))

def stream_query(
self,
Expand All @@ -572,14 +590,17 @@ def stream_query(
Yields:
The output of querying the Agent with the given input and config.
"""
from langchain.load import dump as langchain_load_dump
try:
from langchain_core.load import dumpd
except ImportError:
from langchain.load.dump import dumpd

if isinstance(input, str):
input = {"input": input}
input = {"input": input, "messages": [("user", input)]}
if not self._runnable:
self.set_up()
for chunk in self._runnable.stream(input=input, config=config, **kwargs):
yield langchain_load_dump.dumpd(chunk)
yield dumpd(chunk)

def get_state_history(
self,
Expand Down
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