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Make cached_result and replay serialized #173

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Merged
msullivan merged 1 commit into from
Jun 16, 2026
Merged

Make cached_result and replay serialized #173

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16 changes: 10 additions & 6 deletions src/ai/types/messages.py
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Original file line number Diff line number Diff line change
Expand Up @@ -242,10 +242,11 @@ class ToolCallPart(pydantic.BaseModel):
# run completed this tool call but a sibling tool call was suspended
# on a hook, we fold the completed result onto the ``ToolCallPart``
# so re-execution short-circuits to the cached value instead of
# running the tool body again. Excluded from JSON; not part of the
# wire model.
# running the tool body again.
cached_result: ToolResultPart | None = pydantic.Field(
default=None, exclude=True, repr=False
default=None,
exclude_if=lambda v: v is None,
repr=False,
)

kind: Literal["tool_call"] = "tool_call"
Expand Down Expand Up @@ -331,9 +332,12 @@ class Message(pydantic.BaseModel):
# short-circuiting an existing assistant turn (resume-after-approval
# flows). ``Context.add`` skips replay-flagged messages so the loop
# can call ``context.add(stream.message)`` unconditionally without
# producing a duplicate turn. Excluded from JSON: control flag,
# not data.
replay: bool = pydantic.Field(default=False, exclude=True, repr=False)
# producing a duplicate turn.
replay: bool = pydantic.Field(
default=False,
exclude_if=lambda v: not v,
repr=False,
)

@property
def text(self) -> str:
Expand Down
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