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preps for initial prompt caching #13

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Merged
shellygr merged 5 commits into from
Apr 4, 2026
Merged

preps for initial prompt caching #13

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2be0658
Allow caching the initial prompt, change of types
shellygr Feb 23, 2026
36f79c1
fix mypy type error for initial_content
shellygr Mar 18, 2026
52ea90d
Merge branch 'master' into shelly/cacheInitialPrompt
shellygr Apr 2, 2026
a396bd1
simplified
shellygr Apr 2, 2026
8294669
Merge remote-tracking branch 'origin/master' into shelly/cacheInitial…
shellygr Apr 4, 2026
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26 changes: 14 additions & 12 deletions graphcore/graph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -249,7 +249,7 @@ def __call__(

def _get_summarizer_pure(
system_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
state_type: type[StateT],
context: SummaryConfig[StateT]
) -> PureFunction:
Expand All @@ -268,11 +268,13 @@ def to_return(state: StateT) -> PureFunctionGenerator:
summary = msg.text
resume_message = config.get_resume_prompt(state, summary)
config.on_summary(state, summary, resume_message)
# Handle initial_prompt as either str or dict (with cache_control)
initial_content: list[str | dict] = [initial_prompt]
return {
"messages": [
RemoveMessage(id="__remove_all__"),
SystemMessage(content=system_prompt),
HumanMessage(content=initial_prompt, display_tag="initial_prompt"),
HumanMessage(content=initial_content, display_tag="initial_prompt"),
HumanMessage(content=resume_message, display_tag="resume"),
]
}
Expand Down Expand Up @@ -300,7 +302,7 @@ def _get_initial_pure(
t: Type[I],
output_state: Type[O],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
) -> PureFunction[I, O]:
def impl(
state: I
Expand Down Expand Up @@ -350,7 +352,7 @@ def impl(
def get_summarizer(
llm: LLM,
system_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
state_type: type[StateT],
context: SummaryConfig[StateT]
) -> ChatNodeFunction[StateT]:
Expand All @@ -362,7 +364,7 @@ def get_summarizer(
def get_async_summarizer(
llm: LLM,
system_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
state_type: type[StateT],
context: SummaryConfig[StateT]
) -> AsyncChatNodeFunction[StateT]:
Expand All @@ -376,7 +378,7 @@ def __call__(
self,
llm: LLM,
system_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
state_type: type[StateT],
context: SummaryConfig[StateT]
) -> AnyChatNodeFunction[StateT]:
Expand All @@ -386,7 +388,7 @@ def initial_node(
t: Type[InputState],
output_state: Type[StateT],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
llm: LLM
) -> NodeFunction[InputState, StateT]:
return _stitch_sync_impl(
Expand All @@ -398,7 +400,7 @@ def async_initial_node(
t: Type[InputState],
output_state: Type[StateT],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
llm: LLM
) -> AsyncNodeFunction[InputState, StateT]:
return _stitch_async_impl(
Expand All @@ -412,7 +414,7 @@ def __call__(
t: Type[InputState],
output_state: Type[StateT],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
llm: LLM
) -> AnyNodeFunction[InputState, StateT]:
...
Expand Down Expand Up @@ -656,7 +658,7 @@ def build_workflow(
input_type: Type[InputState],
tools_list: Iterable[BaseTool | SplitTool],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
output_key: str,
unbound_llm: BaseChatModel,
output_schema: Optional[Type[OutputT]] = None,
Expand Down Expand Up @@ -685,7 +687,7 @@ def build_async_workflow(
input_type: Type[InputState],
tools_list: Iterable[BaseTool | SplitTool],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
output_key: str,
unbound_llm: BaseChatModel,
output_schema: Optional[Type[OutputT]] = None,
Expand Down Expand Up @@ -713,7 +715,7 @@ def _build_workflow(
input_type: Type[InputState],
tools_list: Iterable[BaseTool | SplitTool],
sys_prompt: str,
initial_prompt: str,
initial_prompt: str | dict,
output_key: str,
unbound_llm: BaseChatModel,
output_schema: Optional[Type[OutputT]],
Expand Down
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