mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
#
|
|
# Copyright 2026 The Dapr Authors
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
from pydantic import BaseModel, PrivateAttr, Field
|
|
from abc import ABC, abstractmethod
|
|
from typing import Any, Optional
|
|
from dapr_agents.prompt.base import PromptTemplateBase
|
|
|
|
|
|
class LLMClientBase(BaseModel, ABC):
|
|
"""
|
|
Abstract base class for LLM models.
|
|
"""
|
|
|
|
_provider: str = PrivateAttr()
|
|
_api: str = PrivateAttr()
|
|
_config: Any = PrivateAttr()
|
|
_client: Any = PrivateAttr()
|
|
prompt_template: Optional[PromptTemplateBase] = Field(
|
|
default=None, description="Prompt template for rendering (optional)."
|
|
)
|
|
|
|
@property
|
|
def provider(self) -> str:
|
|
return self._provider
|
|
|
|
@property
|
|
def api(self) -> str:
|
|
return self._api
|
|
|
|
@property
|
|
def config(self) -> Any:
|
|
return self._config
|
|
|
|
@property
|
|
def client(self) -> Any:
|
|
return self._client
|
|
|
|
@abstractmethod
|
|
def get_client(self) -> Any:
|
|
"""Abstract method to get the client for the LLM model."""
|
|
pass
|
|
|
|
@abstractmethod
|
|
def get_config(self) -> Any:
|
|
"""Abstract method to get the configuration for the LLM model."""
|
|
pass
|
|
|
|
def refresh_client(self) -> None:
|
|
"""
|
|
Public method to refresh the client by regenerating the config and client.
|
|
"""
|
|
# Refresh config and client using the current state
|
|
self._config = self.get_config()
|
|
self._client = self.get_client()
|