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feat(chat): Add optional memories input for core:text2text:chat #158

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Merged
marcelklehr merged 2 commits into from
Dec 15, 2025
Merged

feat(chat): Add optional memories input for core:text2text:chat #158

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881fc04
feat(chat): Add optional memories input for core:text2text:chat
marcelklehr Dec 11, 2025
0eb727b
fix: Adress review comments
marcelklehr Dec 12, 2025
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5 changes: 4 additions & 1 deletion lib/chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,9 @@ def __call__(
self,
inputs: dict[str, Any],
) -> dict[str, str]:
system_prompt = inputs['system_prompt']
if inputs.get('memories'):
system_prompt += "\n\nYou can remember things from other conversations with the user. If they are relevant, take into account the following memories: \n" + "\n\n".join(inputs['memories']) + "\n\n"
return {'output': self.runnable.invoke(
[(message['role'], message['content']) for message in [json.loads(message) for message in inputs['history']]] + [('human', inputs['input'])]
[('human', system_prompt)] + [(message['role'], message['content']) for message in [json.loads(message) for message in inputs['history']]] + [('human', inputs['input'])]
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).content}
24 changes: 14 additions & 10 deletions lib/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,8 @@
from fastapi import FastAPI
from nc_py_api import AsyncNextcloudApp, NextcloudApp, NextcloudException
from nc_py_api.ex_app import LogLvl, persistent_storage, run_app, set_handlers
from nc_py_api.ex_app.providers.task_processing import TaskProcessingProvider, ShapeEnumValue
from nc_py_api.ex_app.providers.task_processing import ShapeDescriptor, ShapeType, TaskProcessingProvider, \
ShapeEnumValue

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', handlers=[logging.StreamHandler()])
logger = logging.getLogger(__name__)
Expand Down Expand Up @@ -157,15 +158,18 @@ async def enabled_handler(enabled: bool, nc: AsyncNextcloudApp) -> str:
name="Local Large language Model: " + model,
task_type=task,
expected_runtime=30,
input_shape_enum_values= {
"tone": [
ShapeEnumValue(name= "Friendlier", value= "friendlier"),
ShapeEnumValue(name= "More formal", value= "more formal"),
ShapeEnumValue(name= "Funnier", value= "funnier"),
ShapeEnumValue(name= "More casual", value= "more casual"),
ShapeEnumValue(name= "More urgent", value= "more urgent"),
],
} if task == "core:text2text:changetone" else {}
input_shape_enum_values= {
"tone": [
ShapeEnumValue(name= "Friendlier", value= "friendlier"),
ShapeEnumValue(name= "More formal", value= "more formal"),
ShapeEnumValue(name= "Funnier", value= "funnier"),
ShapeEnumValue(name= "More casual", value= "more casual"),
ShapeEnumValue(name= "More urgent", value= "more urgent"),
],
} if task == "core:text2text:changetone" else {},
optional_input_shape=[
ShapeDescriptor(name="memories", description="Memories to inject into the prompt", shape_type=ShapeType.LIST_OF_TEXTS)
] if task == "core:text2text:chat" else [],
)
await nc.providers.task_processing.register(provider)
log(nc, LogLvl.INFO, f"Registered {task_processor_name}")
Expand Down
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