Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

139 lines
5.0 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.
#
import logging
from typing import Any, Dict, Optional, Union
from openai import AzureOpenAI, OpenAI
from pydantic import Field
from dapr_agents.llm.base import LLMClientBase
from dapr_agents.llm.openai.client.azure import AzureOpenAIClient
from dapr_agents.llm.openai.client.openai import OpenAIClient
from dapr_agents.types.llm import AzureOpenAIClientConfig, OpenAIClientConfig
logger = logging.getLogger(__name__)
class OpenAIClientBase(LLMClientBase):
"""
Base class for managing OpenAI and Azure OpenAI clients.
Handles client initialization, configuration, and shared logic.
"""
api_key: Optional[str] = Field(
default=None, description="API key for OpenAI or Azure OpenAI."
)
base_url: Optional[str] = Field(
default=None, description="Base URL for OpenAI API (OpenAI-specific)."
)
azure_endpoint: Optional[str] = Field(
default=None, description="Azure endpoint URL (Azure OpenAI-specific)."
)
azure_deployment: Optional[str] = Field(
default=None, description="Azure deployment name (Azure OpenAI-specific)."
)
api_version: Optional[str] = Field(
default=None, description="Azure API version (Azure OpenAI-specific)."
)
organization: Optional[str] = Field(
default=None, description="Organization for OpenAI or Azure OpenAI."
)
project: Optional[str] = Field(
default=None, description="Project for OpenAI or Azure OpenAI."
)
azure_ad_token: Optional[str] = Field(
default=None, description="Azure AD token for authentication (Azure-specific)."
)
azure_client_id: Optional[str] = Field(
default=None, description="Client ID for Managed Identity (Azure-specific)."
)
timeout: Union[int, float, Dict[str, Any]] = Field(
default=1500, description="Timeout for requests in seconds."
)
def model_post_init(self, __context: Any) -> None:
"""
Initializes private attributes after validation.
"""
self._provider = "openai"
# Set up the private config and client attributes
self._config: Union[AzureOpenAIClientConfig, OpenAIClientConfig] = (
self.get_config()
)
self._client: Union[AzureOpenAI, OpenAI] = self.get_client()
return super().model_post_init(__context)
def get_config(self) -> Union[OpenAIClientConfig, AzureOpenAIClientConfig]:
"""
Returns the appropriate configuration for OpenAI or Azure OpenAI.
"""
is_azure = self.azure_endpoint or self.azure_deployment
if is_azure:
return AzureOpenAIClientConfig(
api_key=self.api_key,
organization=self.organization,
project=self.project,
azure_ad_token=self.azure_ad_token,
azure_endpoint=self.azure_endpoint,
azure_deployment=self.azure_deployment,
api_version=self.api_version,
)
else:
return OpenAIClientConfig(
api_key=self.api_key,
base_url=self.base_url,
organization=self.organization,
project=self.project,
)
def get_client(self) -> Union[AzureOpenAI, OpenAI]:
"""
Initialize and return the appropriate client (OpenAI or Azure OpenAI).
"""
config = self.config
timeout = self.timeout
if isinstance(config, AzureOpenAIClientConfig):
logger.info("Initializing Azure OpenAI client...")
return AzureOpenAIClient(
api_key=config.api_key,
azure_ad_token=config.azure_ad_token,
azure_endpoint=config.azure_endpoint,
azure_deployment=config.azure_deployment,
api_version=config.api_version,
organization=config.organization,
project=config.project,
azure_client_id=self.azure_client_id,
timeout=timeout,
).get_client()
logger.info("Initializing OpenAI client...")
return OpenAIClient(
api_key=config.api_key,
base_url=config.base_url,
organization=config.organization,
project=config.project,
timeout=timeout,
).get_client()
@property
def config(self) -> Union[AzureOpenAIClientConfig, OpenAIClientConfig]:
return self._config
@property
def client(self) -> Union[OpenAI, AzureOpenAI]:
return self._client