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https://github.com/langchain-ai/langgraph.git
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5
Commits
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8086a20865 | ||
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fcfb9dd3a7 | ||
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120ae38c12 | ||
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22942d4eec | ||
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1756ce1dd2 |
@@ -1040,7 +1040,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
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...
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```
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See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
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See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
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:::
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:::js
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@@ -443,7 +443,12 @@ class ToolNode(RunnableCallable):
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return invalid_tool_message
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try:
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call_args = {**call, **{"type": "tool_call"}}
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response = self.tools_by_name[call["name"]].invoke(call_args, config)
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tool = self.tools_by_name[call["name"]]
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try:
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response = tool.invoke(call_args, config)
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except NotImplementedError:
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response = asyncio.run(tool.ainvoke(call_args, config))
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# GraphInterrupt is a special exception that will always be raised.
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# It can be triggered in the following scenarios,
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@@ -1156,3 +1156,36 @@ async def test_tool_node_command_remove_all_messages():
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command = result[0]
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assert isinstance(command, Command)
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assert command.update == {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]}
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async def test_async_tool_called_syncly() -> None:
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"""Confirm that async tools can be called synchronously."""
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@dec_tool
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async def async_tool():
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"""An async tool."""
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return "async tool"
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tool_node = ToolNode([async_tool])
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result = tool_node.invoke(
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{
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"messages": [
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AIMessage(
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content="",
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tool_calls=[
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{
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"name": "async_tool",
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"args": {},
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"id": "1",
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"type": "tool_call",
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}
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],
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)
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]
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}
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)
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assert result == {
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"messages": [
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ToolMessage(content="async tool", name="async_tool", tool_call_id="1")
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]
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}
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@@ -1,6 +1,6 @@
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from langgraph_sdk.auth import Auth
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from langgraph_sdk.client import get_client, get_sync_client
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__version__ = "0.2.3"
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__version__ = "0.2.4"
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__all__ = ["Auth", "get_client", "get_sync_client"]
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@@ -71,6 +71,7 @@ from langgraph_sdk.schema import (
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ThreadSortBy,
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ThreadState,
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ThreadStatus,
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ThreadStreamMode,
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ThreadUpdateStateResponse,
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)
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from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw, iter_lines_raw
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@@ -1684,6 +1685,53 @@ class ThreadsClient:
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params=params,
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)
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async def join_stream(
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self,
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thread_id: str,
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*,
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last_event_id: str | None = None,
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stream_mode: ThreadStreamMode | Sequence[ThreadStreamMode] = "run_modes",
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headers: Mapping[str, str] | None = None,
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params: QueryParamTypes | None = None,
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) -> AsyncIterator[StreamPart]:
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"""Get a stream of events for a thread.
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Args:
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thread_id: The ID of the thread to get the stream for.
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last_event_id: The ID of the last event to get.
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headers: Optional custom headers to include with the request.
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params: Optional query parameters to include with the request.
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Returns:
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Iterator[StreamPart]: An iterator of stream parts.
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???+ example "Example Usage"
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```python
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for chunk in client.threads.join_stream(
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thread_id="my_thread_id",
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last_event_id="my_event_id",
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):
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print(chunk)
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```
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""" # noqa: E501
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query_params = {
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"stream_mode": stream_mode,
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}
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if params:
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query_params.update(params)
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return self.http.stream(
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f"/threads/{thread_id}/stream",
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"GET",
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headers={
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**({"Last-Event-ID": last_event_id} if last_event_id else {}),
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**(headers or {}),
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},
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params=query_params,
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)
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class RunsClient:
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"""Client for managing runs in LangGraph.
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@@ -4772,6 +4820,54 @@ class SyncThreadsClient:
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params=params,
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)
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def join_stream(
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self,
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thread_id: str,
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*,
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stream_mode: ThreadStreamMode | Sequence[ThreadStreamMode] = "run_modes",
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last_event_id: str | None = None,
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headers: Mapping[str, str] | None = None,
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params: QueryParamTypes | None = None,
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) -> Iterator[StreamPart]:
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"""Get a stream of events for a thread.
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Args:
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thread_id: The ID of the thread to get the stream for.
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last_event_id: The ID of the last event to get.
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headers: Optional custom headers to include with the request.
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params: Optional query parameters to include with the request.
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Returns:
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Iterator[StreamPart]: An iterator of stream parts.
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???+ example "Example Usage"
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```python
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for chunk in client.threads.join_stream(
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thread_id="my_thread_id",
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last_event_id="my_event_id",
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stream_mode="run_modes",
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):
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print(chunk)
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```
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""" # noqa: E501
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query_params = {
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"stream_mode": stream_mode,
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}
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if params:
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query_params.update(params)
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return self.http.stream(
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f"/threads/{thread_id}/stream",
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"GET",
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headers={
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**({"Last-Event-ID": last_event_id} if last_event_id else {}),
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**(headers or {}),
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},
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params=query_params,
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)
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class SyncRunsClient:
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"""Synchronous client for managing runs in LangGraph.
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@@ -38,6 +38,14 @@ Represents the status of a thread:
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- "error": An exception occurred during task processing.
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"""
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ThreadStreamMode = Literal["run_modes", "lifecycle", "state_update"]
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"""
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Defines the mode of streaming:
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- "run_modes": Stream the same events as the runs on thread, as well as run_done events.
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- "lifecycle": Stream only run start/end events.
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- "state_update": Stream state updates on the thread.
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"""
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StreamMode = Literal[
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"values",
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"messages",
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