From 0f45b2c285145c18d1a570f52c63d8b938c7badf Mon Sep 17 00:00:00 2001
From: Nidhi Rajani <97787490+nidhi1603@users.noreply.github.com>
Date: Tue, 9 Jun 2026 16:13:37 -0400
Subject: [PATCH] feat(openai): support `apply_patch` built-in tool (#37157)

[Docs](https://github.com/langchain-ai/docs/pull/4370)

Fixes #37031

Adds support for OpenAI Responses API `apply_patch` built-in tool.

This PR:
- Adds `apply_patch` to the OpenAI well-known tools list so
`bind_tools([{"type": "apply_patch"}])` works.
- Preserves `apply_patch_call` and `apply_patch_call_output` items when
converting OpenAI Responses API outputs into LangChain
`AIMessage.content`.
- Preserves the same item types in streaming `AIMessageChunk`
conversion.
- Supports round-trip input conversion for `apply_patch_call` and
`apply_patch_call_output`.
- Adds unit tests for core tool passthrough, non-streaming conversion,
streaming conversion, and round-trip input conversion.

## Testing

- `cd libs/core && uv run --group test pytest
tests/unit_tests/utils/test_function_calling.py -k "apply_patch" -vv`
- `cd libs/partners/openai && uv run --group test pytest
tests/unit_tests/chat_models/test_base.py -k "apply_patch" -vv`
- `cd libs/core && uv run --all-groups ruff check
langchain_core/utils/function_calling.py
tests/unit_tests/utils/test_function_calling.py`
- `cd libs/partners/openai && uv run --all-groups ruff check
langchain_openai/chat_models/base.py
tests/unit_tests/chat_models/test_base.py`

---------

Co-authored-by: Mason Daugherty <github@mdrxy.com>
Co-authored-by: Mason Daugherty <mason@langchain.dev>
---
 .../langchain_core/utils/function_calling.py  |   3 +-
 .../unit_tests/utils/test_function_calling.py |   9 +
 libs/langchain_v1/uv.lock                     |   2 +-
 .../langchain_openai/chat_models/_compat.py   |   6 +-
 .../langchain_openai/chat_models/base.py      |  13 +-
 .../tests/cassettes/test_apply_patch.yaml.gz  | Bin 0 -> 5096 bytes
 .../chat_models/test_responses_api.py         |  56 ++++
 .../tests/unit_tests/chat_models/test_base.py | 244 +++++++++++++++++-
 libs/partners/openai/uv.lock                  |  86 +++++-
 9 files changed, 401 insertions(+), 18 deletions(-)
 create mode 100644 libs/partners/openai/tests/cassettes/test_apply_patch.yaml.gz

diff --git a/libs/core/langchain_core/utils/function_calling.py b/libs/core/langchain_core/utils/function_calling.py
index 0fefd98b0eb..c66df944371 100644
--- a/libs/core/langchain_core/utils/function_calling.py
+++ b/libs/core/langchain_core/utils/function_calling.py
@@ -508,6 +508,7 @@ _WellKnownOpenAITools = (
     "web_search_preview",
     "web_search",
     "tool_search",
+    "apply_patch",
     "namespace",
 )
 
@@ -546,7 +547,7 @@ def convert_to_openai_tool(
 
         Return OpenAI Responses API-style tools unchanged. This includes
         any dict with `"type"` in `"file_search"`, `"function"`,
-        `"computer_use_preview"`, `"web_search_preview"`.
+        `"computer_use_preview"`, `"web_search_preview"`, `"apply_patch"`.
 
     !!! warning "Behavior changed in `langchain-core` 0.3.63"
 
diff --git a/libs/core/tests/unit_tests/utils/test_function_calling.py b/libs/core/tests/unit_tests/utils/test_function_calling.py
index f3aa224029b..d2906f59e35 100644
--- a/libs/core/tests/unit_tests/utils/test_function_calling.py
+++ b/libs/core/tests/unit_tests/utils/test_function_calling.py
@@ -1245,6 +1245,15 @@ def test_convert_to_openai_function_json_schema_missing_title_includes_schema()
         convert_to_openai_function(schema_without_title)
 
 
+def test_convert_to_openai_tool_apply_patch_passthrough() -> None:
+    """Test apply_patch is passed through as an OpenAI built-in tool."""
+    tool = {"type": "apply_patch"}
+
+    result = convert_to_openai_tool(tool)
+
+    assert result == tool
+
+
 def test_convert_to_openai_tool_computer_passthrough() -> None:
     """Test that the 'computer' tool type is passed through unchanged."""
     computer_tool = {
diff --git a/libs/langchain_v1/uv.lock b/libs/langchain_v1/uv.lock
index 8218383723a..a92725dea79 100644
--- a/libs/langchain_v1/uv.lock
+++ b/libs/langchain_v1/uv.lock
@@ -2225,7 +2225,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.4.1"
+version = "1.4.2"
 source = { editable = "../core" }
 dependencies = [
     { name = "jsonpatch" },
diff --git a/libs/partners/openai/langchain_openai/chat_models/_compat.py b/libs/partners/openai/langchain_openai/chat_models/_compat.py
index 1a7506ccd18..cc04a9235f9 100644
--- a/libs/partners/openai/langchain_openai/chat_models/_compat.py
+++ b/libs/partners/openai/langchain_openai/chat_models/_compat.py
@@ -105,6 +105,8 @@ def _convert_to_v03_ai_message(
                     "image_generation_call",
                     "tool_search_call",
                     "tool_search_output",
+                    "apply_patch_call",
+                    "apply_patch_call_output",
                 ):
                     # Store built-in tool calls in additional_kwargs
                     if "tool_outputs" not in message.additional_kwargs:
@@ -285,11 +287,11 @@ def _consolidate_calls(items: Iterable[dict[str, Any]]) -> Iterator[dict[str, An
 
         try:
             nxt = next(items)  # look-ahead one element
-        except StopIteration:  # no “result” - just yield the call back
+        except StopIteration:  # no "result" - just yield the call back
             yield current
             break
 
-        # If this really is the matching “result” - collapse
+        # If this really is the matching "result" - collapse
         if nxt.get("type") == "server_tool_result" and nxt.get(
             "tool_call_id"
         ) == current.get("id"):
diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py
index 8e2473fe221..3ba2ae24a05 100644
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@@ -192,6 +192,7 @@ WellKnownTools = (
     "mcp",
     "image_generation",
     "tool_search",
+    "apply_patch",
 )
 
 
@@ -4490,6 +4491,8 @@ def _construct_responses_api_input(messages: Sequence[BaseMessage]) -> list:
                             "mcp_approval_request",
                             "tool_search_call",
                             "tool_search_output",
+                            "apply_patch_call",
+                            "apply_patch_call_output",
                         ):
                             input_.append(_pop_index_and_sub_index(block))
                         elif block_type == "image_generation_call":
@@ -4535,7 +4538,11 @@ def _construct_responses_api_input(messages: Sequence[BaseMessage]) -> list:
         elif msg["role"] in ("user", "system", "developer"):
             if isinstance(msg["content"], list):
                 new_blocks = []
-                non_message_item_types = ("mcp_approval_response", "tool_search_output")
+                non_message_item_types = (
+                    "mcp_approval_response",
+                    "tool_search_output",
+                    "apply_patch_call_output",
+                )
                 for block in msg["content"]:
                     if block["type"] in ("text", "image_url", "file"):
                         new_blocks.append(
@@ -4704,6 +4711,8 @@ def _construct_lc_result_from_responses_api(
             "image_generation_call",
             "tool_search_call",
             "tool_search_output",
+            "apply_patch_call",
+            "apply_patch_call_output",
         ):
             content_blocks.append(output.model_dump(exclude_none=True, mode="json"))
 
@@ -4958,6 +4967,8 @@ def _convert_responses_chunk_to_generation_chunk(
         "image_generation_call",
         "tool_search_call",
         "tool_search_output",
+        "apply_patch_call",
+        "apply_patch_call_output",
     ):
         _advance(chunk.output_index)
         tool_output = chunk.item.model_dump(exclude_none=True, mode="json")
diff --git a/libs/partners/openai/tests/cassettes/test_apply_patch.yaml.gz b/libs/partners/openai/tests/cassettes/test_apply_patch.yaml.gz
new file mode 100644
index 0000000000000000000000000000000000000000..5be20dfcbfc6c5c3f99eb234874238a9190a6903
GIT binary patch
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diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py b/libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py
index 22c30cbe31d..18d04e51e20 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py
@@ -200,6 +200,62 @@ async def test_web_search_async() -> None:
         assert tool_output["type"] == "web_search_call"
 
 
+@pytest.mark.default_cassette("test_apply_patch.yaml.gz")
+@pytest.mark.vcr
+def test_apply_patch() -> None:
+    """Test the apply_patch built-in tool end-to-end.
+
+    apply_patch is a client-executed tool: the model proposes a file operation
+    via an `apply_patch_call` block, the client applies it, and the result is
+    returned as an ``apply_patch_call_output`` block. Requires a model that
+    supports the tool.
+    """
+    prompt = "Create a new file named hello.txt containing the line: hello world"
+    llm = ChatOpenAI(model="gpt-5.1", output_version="responses/v1")
+    tool = {"type": "apply_patch"}
+
+    # Non-streaming: the model should emit an apply_patch_call block.
+    response = llm.invoke(prompt, tools=[tool])
+    assert isinstance(response, AIMessage)
+    calls = [
+        block
+        for block in response.content
+        if isinstance(block, dict) and block["type"] == "apply_patch_call"
+    ]
+    assert len(calls) == 1
+    call = calls[0]
+    assert call["call_id"]
+    assert call["operation"]["type"] in ("create_file", "update_file", "delete_file")
+
+    # Streaming: the apply_patch_call block survives chunk aggregation.
+    aggregated: BaseMessageChunk | None = None
+    for chunk in llm.stream(prompt, tools=[tool]):
+        assert isinstance(chunk, AIMessageChunk)
+        aggregated = chunk if aggregated is None else aggregated + chunk
+    assert isinstance(aggregated, AIMessageChunk)
+    assert any(
+        isinstance(block, dict) and block["type"] == "apply_patch_call"
+        for block in aggregated.content
+    )
+
+    # Round-trip: return an apply_patch_call_output and continue the conversation.
+    output_message = HumanMessage(
+        content=[
+            {
+                "type": "apply_patch_call_output",
+                "call_id": call["call_id"],
+                "status": "completed",
+                "output": f"Created {call['operation']['path']}",
+            }
+        ]
+    )
+    follow_up = llm.invoke(
+        [HumanMessage(prompt), response, output_message],
+        tools=[tool],
+    )
+    assert isinstance(follow_up, AIMessage)
+
+
 @pytest.mark.default_cassette("test_function_calling.yaml.gz")
 @pytest.mark.vcr
 @pytest.mark.parametrize("output_version", ["v0", "responses/v1", "v1"])
diff --git a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py
index 64d6237d60c..011729b2b4a 100644
--- a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py
+++ b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py
@@ -35,8 +35,14 @@ from langchain_core.runnables import RunnableLambda
 from langchain_core.runnables.base import RunnableBinding, RunnableSequence
 from langchain_core.tracers.base import BaseTracer
 from langchain_core.tracers.schemas import Run
-from openai.types.responses import ResponseOutputMessage, ResponseReasoningItem
+from openai.types.responses import (
+    ResponseApplyPatchToolCall,
+    ResponseApplyPatchToolCallOutput,
+    ResponseOutputMessage,
+    ResponseReasoningItem,
+)
 from openai.types.responses.response import IncompleteDetails, Response
+from openai.types.responses.response_apply_patch_tool_call import OperationCreateFile
 from openai.types.responses.response_error import ResponseError
 from openai.types.responses.response_file_search_tool_call import (
     ResponseFileSearchToolCall,
@@ -71,6 +77,7 @@ from langchain_openai.chat_models.base import (
     _construct_responses_api_input,
     _convert_dict_to_message,
     _convert_message_to_dict,
+    _convert_responses_chunk_to_generation_chunk,
     _convert_to_openai_response_format,
     _create_usage_metadata,
     _create_usage_metadata_responses,
@@ -1924,6 +1931,178 @@ def test__construct_lc_result_from_responses_api_no_usage_metadata() -> None:
     assert cast(AIMessage, result.generations[0].message).usage_metadata is None
 
 
+def test__construct_lc_result_from_responses_api_apply_patch_response() -> None:
+    """Test a response with apply_patch output."""
+    response = Response(
+        id="resp_123",
+        created_at=1234567890,
+        model="gpt-4o",
+        object="response",
+        parallel_tool_calls=True,
+        tools=[],
+        tool_choice="auto",
+        output=[
+            ResponseApplyPatchToolCall(
+                id="apply_patch_123",
+                type="apply_patch_call",
+                call_id="call_123",
+                operation=OperationCreateFile(
+                    type="create_file",
+                    path="hello.txt",
+                    diff="+hello\n",
+                ),
+                status="completed",
+            )
+        ],
+    )
+
+    result = _construct_lc_result_from_responses_api(response)
+
+    message = cast(AIMessage, result.generations[0].message)
+    assert message.content == [
+        {
+            "type": "apply_patch_call",
+            "id": "apply_patch_123",
+            "call_id": "call_123",
+            "operation": {
+                "type": "create_file",
+                "path": "hello.txt",
+                "diff": "+hello\n",
+            },
+            "status": "completed",
+        }
+    ]
+    assert message.tool_calls == []
+    assert message.invalid_tool_calls == []
+
+
+def test__construct_lc_result_from_responses_api_apply_patch_call_output() -> None:
+    """Test a response with apply_patch_call_output output."""
+    response = Response(
+        id="resp_123",
+        created_at=1234567890,
+        model="gpt-4o",
+        object="response",
+        parallel_tool_calls=True,
+        tools=[],
+        tool_choice="auto",
+        output=[
+            ResponseApplyPatchToolCallOutput(
+                id="apply_patch_output_123",
+                type="apply_patch_call_output",
+                call_id="call_123",
+                status="completed",
+                output="Created hello.txt",
+            )
+        ],
+    )
+
+    result = _construct_lc_result_from_responses_api(response)
+
+    message = result.generations[0].message
+    assert message.content == [
+        {
+            "type": "apply_patch_call_output",
+            "id": "apply_patch_output_123",
+            "call_id": "call_123",
+            "status": "completed",
+            "output": "Created hello.txt",
+        }
+    ]
+
+
+def test__construct_responses_api_input_apply_patch_round_trip() -> None:
+    """Test apply_patch content blocks are preserved when sent back as input."""
+    messages = [
+        AIMessage(
+            content=[
+                {
+                    "type": "apply_patch_call",
+                    "call_id": "call_123",
+                    "operation": {
+                        "type": "create_file",
+                        "path": "hello.txt",
+                        "diff": "+hello\\n",
+                    },
+                    "status": "completed",
+                }
+            ]
+        ),
+        HumanMessage(
+            content=[
+                {
+                    "type": "apply_patch_call_output",
+                    "call_id": "call_123",
+                    "status": "completed",
+                    "output": "Created hello.txt",
+                }
+            ]
+        ),
+    ]
+
+    result = _construct_responses_api_input(messages)
+
+    assert result == [
+        {
+            "type": "apply_patch_call",
+            "call_id": "call_123",
+            "operation": {
+                "type": "create_file",
+                "path": "hello.txt",
+                "diff": "+hello\\n",
+            },
+            "status": "completed",
+        },
+        {
+            "type": "apply_patch_call_output",
+            "call_id": "call_123",
+            "status": "completed",
+            "output": "Created hello.txt",
+        },
+    ]
+
+
+def test__convert_responses_chunk_to_generation_chunk_apply_patch_response() -> None:
+    """Test streamed apply_patch output item is preserved in message chunks."""
+    chunk = MagicMock()
+    chunk.type = "response.output_item.done"
+    chunk.output_index = 0
+    chunk.item = ResponseApplyPatchToolCall(
+        id="apply_patch_123",
+        type="apply_patch_call",
+        call_id="call_123",
+        operation=OperationCreateFile(
+            type="create_file",
+            path="hello.txt",
+            diff="+hello\n",
+        ),
+        status="completed",
+    )
+
+    _, _, _, generation_chunk = _convert_responses_chunk_to_generation_chunk(
+        chunk,
+        current_index=-1,
+        current_output_index=-1,
+        current_sub_index=-1,
+    )
+
+    assert generation_chunk is not None
+    assert generation_chunk.message.content == [
+        {
+            "type": "apply_patch_call",
+            "id": "apply_patch_123",
+            "call_id": "call_123",
+            "operation": {
+                "type": "create_file",
+                "path": "hello.txt",
+                "diff": "+hello\n",
+            },
+            "status": "completed",
+            "index": 0,
+        }
+    ]
+
+
 def test__construct_lc_result_from_responses_api_web_search_response() -> None:
     """Test a response with web search output."""
     from openai.types.responses.response_function_web_search import (
@@ -2747,6 +2926,57 @@ def test_compat_responses_v03() -> None:
     assert message_v03_output is not message_v03
 
 
+def test_compat_responses_v03_apply_patch_tool_outputs() -> None:
+    message = AIMessage(
+        content=[
+            {"type": "text", "text": "Done.", "id": "msg_123"},
+            {
+                "type": "apply_patch_call",
+                "id": "apply_patch_123",
+                "call_id": "call_123",
+                "operation": {
+                    "type": "create_file",
+                    "path": "hello.txt",
+                    "diff": "+hello\n",
+                },
+                "status": "completed",
+            },
+            {
+                "type": "apply_patch_call_output",
+                "id": "apply_patch_output_123",
+                "call_id": "call_123",
+                "status": "completed",
+                "output": "Created hello.txt",
+            },
+        ],
+        id="resp_123",
+    )
+
+    message_v03_output = _convert_to_v03_ai_message(message)
+
+    assert message_v03_output.content == [{"type": "text", "text": "Done."}]
+    assert message_v03_output.additional_kwargs["tool_outputs"] == [
+        {
+            "type": "apply_patch_call",
+            "id": "apply_patch_123",
+            "call_id": "call_123",
+            "operation": {
+                "type": "create_file",
+                "path": "hello.txt",
+                "diff": "+hello\n",
+            },
+            "status": "completed",
+        },
+        {
+            "type": "apply_patch_call_output",
+            "id": "apply_patch_output_123",
+            "call_id": "call_123",
+            "status": "completed",
+            "output": "Created hello.txt",
+        },
+    ]
+
+
 @pytest.mark.parametrize(
     ("message_v1", "expected"),
     [
@@ -3695,6 +3925,18 @@ def test_get_request_payload_responses_api_input_file_blocks_passthrough() -> No
     ]
 
 
+def test_apply_patch_passthrough() -> None:
+    """Test that apply_patch dict is passed through as a built-in tool."""
+    llm = ChatOpenAI(model="gpt-4o", api_key=SecretStr("test-api-key"))
+    bound = llm.bind_tools([{"type": "apply_patch"}])
+    payload = bound._get_request_payload(  # type: ignore[attr-defined]
+        "test",
+        **bound.kwargs,  # type: ignore[attr-defined]
+    )
+    assert {"type": "apply_patch"} in payload["tools"]
+    assert "input" in payload
+
+
 def test_tool_search_passthrough() -> None:
     """Test that tool_search dict is passed through as a built-in tool."""
     llm = ChatOpenAI(model="gpt-4o")
diff --git a/libs/partners/openai/uv.lock b/libs/partners/openai/uv.lock
index a7ce6505e6b..fc84b054e44 100644
--- a/libs/partners/openai/uv.lock
+++ b/libs/partners/openai/uv.lock
@@ -559,7 +559,7 @@ wheels = [
 
 [[package]]
 name = "langchain"
-version = "1.3.1"
+version = "1.3.4"
 source = { editable = "../../langchain_v1" }
 dependencies = [
     { name = "langchain-core" },
@@ -587,7 +587,7 @@ requires-dist = [
     { name = "langchain-perplexity", marker = "extra == 'perplexity'" },
     { name = "langchain-together", marker = "extra == 'together'" },
     { name = "langchain-xai", marker = "extra == 'xai'" },
-    { name = "langgraph", specifier = ">=1.2.0,<1.3.0" },
+    { name = "langgraph", specifier = ">=1.2.4,<1.3.0" },
     { name = "pydantic", specifier = ">=2.7.4,<3.0.0" },
 ]
 provides-extras = ["community", "anthropic", "openai", "azure-ai", "google-vertexai", "google-genai", "fireworks", "ollama", "together", "mistralai", "huggingface", "groq", "aws", "baseten", "deepseek", "xai", "perplexity"]
@@ -624,7 +624,7 @@ typing = [
 
 [[package]]
 name = "langchain-core"
-version = "1.4.0"
+version = "1.4.2"
 source = { editable = "../../core" }
 dependencies = [
     { name = "jsonpatch" },
@@ -773,14 +773,14 @@ typing = [
 
 [[package]]
 name = "langchain-protocol"
-version = "0.0.14"
+version = "0.0.16"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/05/bf/efb5e2ed832e4d6d45590e25a9e5191986b291b543bc6a807b48bee070b0/langchain_protocol-0.0.14.tar.gz", hash = "sha256:bc1e8553122e6ede310280462d5813023a172ff2785ccbbdec54d43f3a15e5f2", size = 5862, upload-time = "2026-04-29T16:40:18.657Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/36/e7/8300ba22d968653051fd06e3117d783872dddf3dcebdd6b1d386836eb43c/langchain_protocol-0.0.16.tar.gz", hash = "sha256:806c7cdd951b1c4f692fa40fce60821ff0f221d4360e27673ddf2c2b99c2b7ff", size = 5969, upload-time = "2026-05-28T23:05:11.121Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c2/e9/06c47ecb2aff08f83dfa30058da3bf86be64862c19569043ed5331bbeecd/langchain_protocol-0.0.14-py3-none-any.whl", hash = "sha256:ffc35089779bd8ca217015180cef5e660fc3b074efdaa0f2e95df73583f1a047", size = 6984, upload-time = "2026-04-29T16:40:17.841Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/9c/06dfcc88d02a6364e8d864c421ddd3736305cb0a6c853f75c302c80fe17c/langchain_protocol-0.0.16-py3-none-any.whl", hash = "sha256:3658c142c5d0fb3a023a4be442ce4c15c6d626aab6135eb79a76dc64ad19c3c3", size = 7037, upload-time = "2026-05-28T23:05:10.163Z" },
 ]
 
 [[package]]
@@ -830,7 +830,7 @@ typing = [
 
 [[package]]
 name = "langgraph"
-version = "1.2.0"
+version = "1.2.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "langchain-core" },
@@ -840,9 +840,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "xxhash" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/58/61/d5d25e783035aa307d289b37e082258a6061c0fb4caa4a284f3bf1e87169/langgraph-1.2.0.tar.gz", hash = "sha256:4a9baaf62afc5d5f63144a50095140a34b9aa9b7cea695d25326d564775348e7", size = 690248, upload-time = "2026-05-12T03:46:39.164Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/1c/43/dac5a2621c1e57f8eb7f0703f6f6fe34a5caf62f8f0fb4d2bb395bb454ea/langgraph-1.2.4.tar.gz", hash = "sha256:5df076973a2d23efb13eceb279d1e5b46feebcbbeded0a86a2ef669abd9e4399", size = 720374, upload-time = "2026-06-02T17:07:37.347Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/48/9e/31ca236104966d7bb14ea9e93cfd73350aea8c41008ddf057b65794ed10d/langgraph-1.2.4-py3-none-any.whl", hash = "sha256:ffe3e1e31dce28907640f82525858470f293506d2b272d07ea3b3ce97974b067", size = 245402, upload-time = "2026-06-02T17:07:35.977Z" },
 ]
 
 [[package]]
@@ -873,15 +873,18 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.3"
+version = "0.4.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
+    { name = "langchain-core" },
+    { name = "langchain-protocol" },
     { name = "orjson" },
+    { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/c3/0f/ed0634c222eed48a31ba48eab6881f94ad690d65e44fe7ca838240a260c1/langgraph_sdk-0.3.3.tar.gz", hash = "sha256:c34c3dce3b6848755eb61f0c94369d1ba04aceeb1b76015db1ea7362c544fb26", size = 130589, upload-time = "2026-01-13T00:30:43.894Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/b4/2b/bd8ac26d4e97f6df88ef05ce5b6a38945a3903e1025d926f4752aa88aa97/langgraph_sdk-0.4.2.tar.gz", hash = "sha256:b88f0f5f6328ac0680d6790614a905b2bcfa257f2276dba4e38f0e86db0aa738", size = 348327, upload-time = "2026-06-01T17:51:19.856Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a0/05/aac507337cceae773c2cc9ab91eb6301963af7aeeb55b4217a00e15aff17/langgraph_sdk-0.4.2-py3-none-any.whl", hash = "sha256:75fa5096c1177ce39c847096a8fe3745ffd480ddb412995f836e9f5f884c43dd", size = 160521, upload-time = "2026-06-01T17:51:18.849Z" },
 ]
 
 [[package]]
@@ -2271,6 +2274,65 @@ wheels = [
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 ]
 
+[[package]]
+name = "websockets"
+version = "15.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/21/e6/26d09fab466b7ca9c7737474c52be4f76a40301b08362eb2dbc19dcc16c1/websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee", size = 177016, upload-time = "2025-03-05T20:03:41.606Z" }
+wheels = [
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