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

159 lines
6.3 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
import os
from typing import Optional, Union
from azure.identity import (
DefaultAzureCredential,
ManagedIdentityCredential,
get_bearer_token_provider,
)
from openai import AzureOpenAI
from dapr_agents.llm.utils import HTTPHelper
from dapr_agents.types.llm import AzureOpenAIClientConfig
logger = logging.getLogger(__name__)
class AzureOpenAIClient:
"""
Client for Azure OpenAI language models, handling API communication and authentication.
"""
def __init__(
self,
api_key: Optional[str] = None,
azure_ad_token: Optional[str] = None,
organization: Optional[str] = None,
project: Optional[str] = None,
api_version: Optional[str] = None,
azure_endpoint: Optional[str] = None,
azure_deployment: Optional[str] = None,
azure_client_id: Optional[str] = None,
timeout: Union[int, float, dict] = 1500,
):
"""
Initializes the client with API key or Azure AD credentials.
Args:
api_key: Azure OpenAI API key (inferred from env variable if not provided).
azure_ad_token: Azure AD token (inferred from env variable if not provided).
organization: Organization name (optional).
project: Project name (optional).
api_version: API version (inferred from env variable if not provided).
azure_endpoint: Azure endpoint (inferred from env variable if not provided).
azure_deployment: Deployment name (inferred from env variable if not provided).
azure_client_id: Managed Identity client ID (optional).
timeout: Request timeout in seconds (default: 1500).
"""
# Use provided values or fallback to environment variables
self.api_key = api_key or os.getenv("AZURE_OPENAI_API_KEY")
self.azure_ad_token = azure_ad_token or os.getenv("AZURE_OPENAI_AD_TOKEN")
self.organization = organization or os.getenv("OPENAI_ORG_ID")
self.project = project or os.getenv("OPENAI_PROJECT_ID")
self.api_version = api_version or os.getenv("AZURE_OPENAI_API_VERSION")
self.azure_endpoint = azure_endpoint or os.getenv("AZURE_OPENAI_ENDPOINT")
self.azure_deployment = azure_deployment or os.getenv("AZURE_OPENAI_DEPLOYMENT")
self.azure_client_id = azure_client_id or os.getenv("AZURE_CLIENT_ID")
if not self.azure_endpoint or not self.azure_deployment:
raise ValueError(
"Azure OpenAI endpoint and deployment must be provided, either via arguments or environment variables."
)
self.timeout = HTTPHelper.configure_timeout(timeout)
def get_client(self) -> AzureOpenAI:
"""
Returns the Azure OpenAI client.
Returns:
AzureOpenAI: The initialized Azure OpenAI client.
"""
# Authentication: API Key, Azure AD Token, or Azure Identity
# The api_key, azure_ad_token, and azure_ad_token_provider arguments are mutually exclusive.
# Case 1: Use API Key
if self.api_key:
logger.info("Using API key for authentication.")
return self._create_client(api_key=self.api_key)
# Case 2: Use Azure AD Token
if self.azure_ad_token:
logger.info("Using Azure AD token for authentication.")
return self._create_client(azure_ad_token=self.azure_ad_token)
# Case 3: Use Azure Identity Credentials
logger.info(
"No API key or Azure AD token provided, attempting to use Azure Identity credentials."
)
try:
credential = (
ManagedIdentityCredential(client_id=self.azure_client_id)
if self.azure_client_id
else DefaultAzureCredential(exclude_shared_token_cache_credential=True)
)
azure_ad_token_provider = get_bearer_token_provider(
credential, "https://cognitiveservices.azure.com/.default"
)
return self._create_client(azure_ad_token_provider=azure_ad_token_provider)
except Exception as e:
logger.error(f"Failed to initialize Azure Identity credentials: {e}")
raise ValueError(
"Unable to authenticate using Azure Identity credentials. Check your setup."
) from e
def _create_client(self, **kwargs) -> AzureOpenAI:
"""
Helper method to create and return an Azure OpenAI client.
"""
return AzureOpenAI(
azure_endpoint=self.azure_endpoint,
azure_deployment=self.azure_deployment,
api_version=self.api_version,
timeout=self.timeout,
**kwargs,
)
@classmethod
def from_config(
cls,
client_options: AzureOpenAIClientConfig,
azure_client_id: Optional[str] = None,
timeout: Union[int, float, dict] = 1500,
):
"""
Initialize AzureOpenAIClient using AzureOpenAIClientOptions.
Args:
client_options: An instance of AzureOpenAIClientOptions containing configuration details.
azure_client_id: Optional Azure client ID for Managed Identity authentication.
timeout: Optional timeout value for requests (default is 1500 seconds).
Returns:
AzureOpenAIClient: An initialized instance of AzureOpenAIClient.
"""
return cls(
api_key=client_options.api_key,
azure_ad_token=client_options.azure_ad_token,
organization=client_options.organization,
project=client_options.project,
api_version=client_options.api_version,
azure_endpoint=client_options.azure_endpoint,
azure_deployment=client_options.azure_deployment,
azure_client_id=azure_client_id,
timeout=timeout,
)