graph LR
Backend_Core_Services["Backend Core Services"]
Inference_System["Inference System"]
Model_Training_Data_Preparation["Model Training & Data Preparation"]
Client_Applications["Client Applications"]
Backend_Utilities_Integrations["Backend Utilities & Integrations"]
Oasst_Shared_Library["Oasst Shared Library"]
Backend_Core_Services -- "Sends/Receives requests/responses to/from" --> Client_Applications
Backend_Core_Services -- "Sends prompts to" --> Inference_System
Inference_System -- "receives generated responses from" --> Backend_Core_Services
Backend_Core_Services -- "Utilizes" --> Backend_Utilities_Integrations
Backend_Core_Services -- "Relies on" --> Oasst_Shared_Library
Inference_System -- "Receives prompts from" --> Backend_Core_Services
Inference_System -- "sends generated responses to" --> Backend_Core_Services
Inference_System -- "Receives deployed models from" --> Model_Training_Data_Preparation
Inference_System -- "Relies on" --> Oasst_Shared_Library
Model_Training_Data_Preparation -- "Deploys models to" --> Inference_System
Model_Training_Data_Preparation -- "Relies on" --> Oasst_Shared_Library
Client_Applications -- "Sends/Receives requests/responses to/from" --> Backend_Core_Services
Client_Applications -- "Relies on" --> Oasst_Shared_Library
Backend_Utilities_Integrations -- "Provides services to" --> Backend_Core_Services
Backend_Utilities_Integrations -- "Relies on" --> Oasst_Shared_Library
Oasst_Shared_Library -- "Provides common definitions to" --> Backend_Core_Services
Oasst_Shared_Library -- "Provides common definitions to" --> Inference_System
Oasst_Shared_Library -- "Provides common definitions to" --> Model_Training_Data_Preparation
Oasst_Shared_Library -- "Provides common definitions to" --> Client_Applications
Oasst_Shared_Library -- "Provides common definitions to" --> Backend_Utilities_Integrations
click Backend_Core_Services href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Backend_Core_Services.md" "Details"
click Inference_System href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Inference_System.md" "Details"
click Model_Training_Data_Preparation href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Model_Training_Data_Preparation.md" "Details"
click Client_Applications href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Client_Applications.md" "Details"
click Backend_Utilities_Integrations href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Backend_Utilities_Integrations.md" "Details"
click Oasst_Shared_Library href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//Open-Assistant/Oasst_Shared_Library.md" "Details"
This analysis consolidates the Control Flow Graph (CFG) and Source Code analysis to present a high-level overview of the Open-Assistant project's architecture, focusing on critical interaction pathways and central modules.
The central hub for all user interactions, managing authentication, task requests, message lifecycle, and persistent data storage. It orchestrates the core business logic, determines task availability, and interacts directly with the database.
Related Classes/Methods:
backend.oasst_backend.api.v1(0:0)backend.oasst_backend.tree_manager(0:0)backend.oasst_backend.models(0:0)backend.oasst_backend.utils.database_utils(0:0)backend.oasst_backend.journal_writer(0:0)backend.oasst_backend.prompt_repository(0:0)backend.oasst_backend.task_repository(0:0)backend.oasst_backend.user_repository(0:0)
Responsible for serving trained language models, handling inference requests from the Backend Core Services, and orchestrating the distribution of these requests to worker nodes. It manages the queuing of requests and responses for efficient asynchronous communication.
Related Classes/Methods:
inference.server.oasst_inference_server(0:0)inference.server.oasst_inference_server.queueing(0:0)inference.server.oasst_inference_server.worker_utils(0:0)inference.server.worker(0:0)
Encompasses the entire lifecycle of language model development, from data acquisition and augmentation to model training (Supervised Fine-Tuning, Reward Models, Reinforcement Learning) and evaluation. It prepares and deploys models for use by the Inference System.
Related Classes/Methods:
model.model_training(0:0)oasst_data(0:0)scripts.data_augment.data_augment(0:0)
Provides the user-facing interfaces through which users interact with the Open-Assistant platform. This includes the web-based user interface for message creation, ranking, and labeling, as well as command-based interactions via the Discord bot.
Related Classes/Methods:
discord_bots.oa_bot_py.bot(0:0)
Provides supporting functionalities for the Backend Core Services. This includes the execution of scheduled background tasks (e.g., toxicity checks, user streak resets) and integration with external services like Hugging Face for specialized processing.
Related Classes/Methods:
A foundational library providing a consistent set of data schemas, API client definitions, and utility functions. It is used across almost all components of the Open-Assistant project to ensure data consistency and simplify inter-component communication.
Related Classes/Methods:
oasst_shared(0:0)