release(langgraph): v1 working branch (#6093)

Diff viewer for langgraph v1 alpha releases

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
Co-authored-by: Mason Daugherty <mason@langchain.dev>

libs/langgraph/tests/fake_chat.py

@@ -74,17 +74,26 @@ class FakeChatModel(GenericFakeChatModel):
             assert isinstance(content, str)
             content_chunks = cast(list[str], re.split(r"(\s)", content))
 
-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
                 if run_manager:
                     run_manager.on_llm_new_token(token, chunk=chunk)
                 yield chunk
         else:
             args = message.__dict__
             args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
             if run_manager:
                 run_manager.on_llm_new_token("", chunk=chunk)
             yield chunk
@@ -122,17 +131,27 @@ class FakeChatModel(GenericFakeChatModel):
             assert isinstance(content, str)
             content_chunks = cast(list[str], re.split(r"(\s)", content))
 
-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
+
                 if run_manager:
                     run_manager.on_llm_new_token(token, chunk=chunk)
                 yield chunk
         else:
             args = message.__dict__
             args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
             if run_manager:
                 await run_manager.on_llm_new_token("", chunk=chunk)
             yield chunk

libs/langgraph/tests/test_large_cases.py

@@ -1387,6 +1387,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                         "type": "tool_call_chunk",
                     }
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 1,
@@ -1446,6 +1447,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                         "type": "tool_call_chunk",
                     },
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 3,
@@ -1494,6 +1496,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
         (
             _AnyIdAIMessageChunk(
                 content="answer",
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 5,

libs/langgraph/tests/test_large_cases_async.py

@@ -1140,6 +1140,7 @@ async def test_prebuilt_tool_chat() -> None:
                         "type": "tool_call_chunk",
                     }
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 1,
@@ -1199,6 +1200,7 @@ async def test_prebuilt_tool_chat() -> None:
                         "type": "tool_call_chunk",
                     },
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 3,
@@ -1247,6 +1249,7 @@ async def test_prebuilt_tool_chat() -> None:
         (
             _AnyIdAIMessageChunk(
                 content="answer",
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 5,

libs/langgraph/tests/test_messages_state.py

@@ -20,7 +20,10 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES, MessagesState, push_mes
 from langgraph.graph.state import StateGraph
 from tests.messages import _AnyIdHumanMessage
 
-_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))
+_, CORE_MINOR, CORE_PATCH = (
+    int("".join(c for c in v if c.isdigit()))
+    for v in langchain_core.__version__.split(".")
+)
 
 
 def test_add_single_message():

libs/langgraph/tests/test_pregel.py

@@ -6601,7 +6601,7 @@ def test_tags_stream_mode_messages() -> None:
         )
     ) == [
         (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
             {
                 "langgraph_step": 1,
                 "langgraph_node": "call_model",

libs/langgraph/tests/test_pregel_async.py

@@ -7548,7 +7548,7 @@ async def test_tags_stream_mode_messages() -> None:
         )
     ] == [
         (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
             {
                 "langgraph_step": 1,
                 "langgraph_node": "call_model",

libs/langgraph/tests/test_utils.py

@@ -17,16 +17,13 @@ import langsmith
 import pytest
 from typing_extensions import NotRequired, Required, TypedDict
 
-from langgraph._internal._config import _is_not_empty
+from langgraph._internal._config import _is_not_empty, ensure_config
 from langgraph._internal._fields import (
     _is_optional_type,
     get_enhanced_type_hints,
     get_field_default,
 )
-from langgraph._internal._runnable import (
-    is_async_callable,
-    is_async_generator,
-)
+from langgraph._internal._runnable import is_async_callable, is_async_generator
 from langgraph.constants import END
 from langgraph.graph import StateGraph
 from langgraph.graph.state import CompiledStateGraph
@@ -301,3 +298,24 @@ def test_is_not_empty() -> None:
     assert not _is_not_empty([])
     assert not _is_not_empty(())
     assert not _is_not_empty({})
+
+
+def test_configurable_metadata():
+    config = {
+        "configurable": {
+            "a-key": "foo",
+            "somesecretval": "bar",
+            "sometoken": "thetoken",
+            "__dontinclude": "bar",
+            "includeme": "hi",
+            "andme": 42,
+            "nested": {"foo": "bar"},
+            "nooverride": -2,
+        },
+        "metadata": {"nooverride": 18},
+    }
+    expected = {"includeme", "andme", "nooverride"}
+    merged = ensure_config(config)
+    metadata = merged["metadata"]
+    assert metadata.keys() == expected
+    assert metadata["nooverride"] == 18