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

97 lines
3.3 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
from typing import Optional, Union
from openai import OpenAI
from dapr_agents.llm.utils import HTTPHelper
from dapr_agents.types.llm import OpenAIClientConfig
logger = logging.getLogger(__name__)
class OpenAIClient:
"""
Client for interfacing with OpenAI's language models.
This client handles API communication, including sending requests and processing responses.
"""
def __init__(
self,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
organization: Optional[str] = None,
project: Optional[str] = None,
timeout: Union[int, float, dict] = 1500,
):
"""
Initializes the OpenAI client with API key, base URL, and organization.
Args:
api_key: The OpenAI API key (will fall back to OPENAI_API_KEY env var if not provided).
base_url: The base URL for OpenAI API (defaults to https://api.openai.com/v1).
organization: The OpenAI organization (optional).
project: The OpenAI Project name (optional).
timeout: Timeout for requests (default is 1500 seconds).
"""
self.api_key = api_key # Will be None if not provided - OpenAI SDK will handle env var fallback
self.base_url = base_url
self.organization = organization
self.project = project
self.timeout = HTTPHelper.configure_timeout(timeout)
def get_client(self) -> OpenAI:
"""
Returns the OpenAI client.
Returns:
OpenAI: The initialized OpenAI client.
"""
# Build kwargs, only including non-None values so SDK can fall back to env vars
kwargs = {}
if self.api_key is not None:
kwargs["api_key"] = self.api_key
if self.base_url is not None:
kwargs["base_url"] = self.base_url
if self.organization is not None:
kwargs["organization"] = self.organization
if self.project is not None:
kwargs["project"] = self.project
kwargs["timeout"] = self.timeout
return OpenAI(**kwargs)
@classmethod
def from_config(
cls, client_options: OpenAIClientConfig, timeout: Union[int, float, dict] = 1500
):
"""
Initialize OpenAIBaseClient using OpenAIClientConfig.
Args:
client_options: The client options containing the configuration.
timeout: Timeout for requests (default is 1500 seconds).
Returns:
OpenAIBaseClient: An initialized instance.
"""
return cls(
api_key=client_options.api_key,
base_url=client_options.base_url,
organization=client_options.organization,
project=client_options.project,
timeout=timeout,
)