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
139 lines
5.0 KiB
Python
139 lines
5.0 KiB
Python
#
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# Copyright 2026 The Dapr Authors
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import logging
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from typing import Any, Dict, Optional, Union
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from openai import AzureOpenAI, OpenAI
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from pydantic import Field
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from dapr_agents.llm.base import LLMClientBase
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from dapr_agents.llm.openai.client.azure import AzureOpenAIClient
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from dapr_agents.llm.openai.client.openai import OpenAIClient
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from dapr_agents.types.llm import AzureOpenAIClientConfig, OpenAIClientConfig
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logger = logging.getLogger(__name__)
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class OpenAIClientBase(LLMClientBase):
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"""
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Base class for managing OpenAI and Azure OpenAI clients.
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Handles client initialization, configuration, and shared logic.
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"""
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api_key: Optional[str] = Field(
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default=None, description="API key for OpenAI or Azure OpenAI."
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)
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base_url: Optional[str] = Field(
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default=None, description="Base URL for OpenAI API (OpenAI-specific)."
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)
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azure_endpoint: Optional[str] = Field(
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default=None, description="Azure endpoint URL (Azure OpenAI-specific)."
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)
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azure_deployment: Optional[str] = Field(
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default=None, description="Azure deployment name (Azure OpenAI-specific)."
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)
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api_version: Optional[str] = Field(
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default=None, description="Azure API version (Azure OpenAI-specific)."
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)
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organization: Optional[str] = Field(
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default=None, description="Organization for OpenAI or Azure OpenAI."
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)
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project: Optional[str] = Field(
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default=None, description="Project for OpenAI or Azure OpenAI."
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)
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azure_ad_token: Optional[str] = Field(
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default=None, description="Azure AD token for authentication (Azure-specific)."
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)
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azure_client_id: Optional[str] = Field(
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default=None, description="Client ID for Managed Identity (Azure-specific)."
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)
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timeout: Union[int, float, Dict[str, Any]] = Field(
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default=1500, description="Timeout for requests in seconds."
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)
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def model_post_init(self, __context: Any) -> None:
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"""
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Initializes private attributes after validation.
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"""
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self._provider = "openai"
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# Set up the private config and client attributes
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self._config: Union[AzureOpenAIClientConfig, OpenAIClientConfig] = (
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self.get_config()
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)
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self._client: Union[AzureOpenAI, OpenAI] = self.get_client()
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return super().model_post_init(__context)
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def get_config(self) -> Union[OpenAIClientConfig, AzureOpenAIClientConfig]:
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"""
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Returns the appropriate configuration for OpenAI or Azure OpenAI.
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"""
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is_azure = self.azure_endpoint or self.azure_deployment
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if is_azure:
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return AzureOpenAIClientConfig(
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api_key=self.api_key,
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organization=self.organization,
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project=self.project,
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azure_ad_token=self.azure_ad_token,
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azure_endpoint=self.azure_endpoint,
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azure_deployment=self.azure_deployment,
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api_version=self.api_version,
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)
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else:
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return OpenAIClientConfig(
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api_key=self.api_key,
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base_url=self.base_url,
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organization=self.organization,
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project=self.project,
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)
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def get_client(self) -> Union[AzureOpenAI, OpenAI]:
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"""
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Initialize and return the appropriate client (OpenAI or Azure OpenAI).
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"""
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config = self.config
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timeout = self.timeout
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if isinstance(config, AzureOpenAIClientConfig):
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logger.info("Initializing Azure OpenAI client...")
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return AzureOpenAIClient(
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api_key=config.api_key,
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azure_ad_token=config.azure_ad_token,
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azure_endpoint=config.azure_endpoint,
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azure_deployment=config.azure_deployment,
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api_version=config.api_version,
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organization=config.organization,
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project=config.project,
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azure_client_id=self.azure_client_id,
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timeout=timeout,
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).get_client()
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logger.info("Initializing OpenAI client...")
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return OpenAIClient(
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api_key=config.api_key,
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base_url=config.base_url,
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organization=config.organization,
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project=config.project,
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timeout=timeout,
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).get_client()
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@property
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def config(self) -> Union[AzureOpenAIClientConfig, OpenAIClientConfig]:
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return self._config
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@property
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def client(self) -> Union[OpenAI, AzureOpenAI]:
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return self._client
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