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Rm other mentions of stream_mode=messages

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Nuno Campos
2025-03-01 14:20:15 -08:00
parent 5e70e6f307
commit 9e02a23682
2 changed files with 2 additions and 3 deletions
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libs/langgraph/langgraph/pregel/__init__.py
+1 -1
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@@ -506,7 +506,7 @@ class Pregel(PregelProtocol):
stream_eager: bool = False
"""Whether to force emitting stream events eagerly, automatically turned on
for stream_mode "messages" and "custom"."""
for stream_mode "custom"."""
output_channels: Union[str, Sequence[str]]
libs/langgraph/langgraph/types.py
+1 -2
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@@ -43,7 +43,7 @@ Checkpointer = Union[None, bool, BaseCheckpointSaver]
- False disables checkpointing, even if the parent graph has a checkpointer.
- None inherits checkpointer from the parent graph."""
StreamMode = Literal["values", "updates", "debug", "messages", "custom"]
StreamMode = Literal["values", "updates", "debug", "custom"]
"""How the stream method should emit outputs.
- `"values"`: Emit all values in the state after each step.
@@ -51,7 +51,6 @@ StreamMode = Literal["values", "updates", "debug", "messages", "custom"]
- `"updates"`: Emit only the node or task names and updates returned by the nodes or tasks after each step.
If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
- `"custom"`: Emit custom data using from inside nodes or tasks using `StreamWriter`.
- `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
- `"debug"`: Emit debug events with as much information as possible for each step.
"""