graph LR
API_Client_Core["API Client Core"]
HTTP_Communication_Layer["HTTP Communication Layer"]
Ollama_API_Endpoints["Ollama API Endpoints"]
Request_Response_Data_Models["Request/Response Data Models"]
Data_Transformation_Utilities["Data Transformation Utilities"]
API_Client_Core -- "Initializes and exposes" --> Ollama_API_Endpoints
HTTP_Communication_Layer -- "Processes requests for" --> Ollama_API_Endpoints
HTTP_Communication_Layer -- "Uses for data handling" --> Request_Response_Data_Models
API_Client_Core -- "calls" --> Ollama_API_Endpoints
Ollama_API_Endpoints -- "Calls" --> HTTP_Communication_Layer
Ollama_API_Endpoints -- "Uses" --> Request_Response_Data_Models
Ollama_API_Endpoints -- "Uses" --> Data_Transformation_Utilities
Request_Response_Data_Models -- "Defines structures for" --> Ollama_API_Endpoints
Request_Response_Data_Models -- "Used by" --> HTTP_Communication_Layer
Request_Response_Data_Models -- "Used by" --> Data_Transformation_Utilities
Data_Transformation_Utilities -- "Called by" --> Ollama_API_Endpoints
Data_Transformation_Utilities -- "Uses" --> Request_Response_Data_Models
click API_Client_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//ollama-python/API_Client_Core.md" "Details"
click HTTP_Communication_Layer href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//ollama-python/HTTP_Communication_Layer.md" "Details"
click Ollama_API_Endpoints href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//ollama-python/Ollama_API_Endpoints.md" "Details"
click Request_Response_Data_Models href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//ollama-python/Request_Response_Data_Models.md" "Details"
click Data_Transformation_Utilities href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//ollama-python/Data_Transformation_Utilities.md" "Details"
The ollama-python library's architecture is designed around a clear separation of concerns, facilitating both synchronous and asynchronous interactions with the Ollama API. The core design principles revolve around a central client, a dedicated HTTP communication layer, well-defined API endpoints, robust data modeling, and utility functions for data preparation.
This component serves as the primary entry point for users, providing both synchronous (Client) and asynchronous (AsyncClient) interfaces to interact with the Ollama API. It encapsulates the foundational setup, including host URL parsing, HTTP client initialization (httpx), and default configurations (headers, timeouts). It acts as the orchestrator, exposing high-level methods that delegate to specific API functionalities.
Related Classes/Methods:
ollama._client.BaseClient(73:107)ollama._client.Client(113:622)ollama._client.AsyncClient(625:1142)
Responsible for all network interactions with the Ollama API. This component handles the low-level execution of raw HTTP requests (_request_raw) and the higher-level orchestration (_request), which includes request data serialization (Python objects to JSON), response deserialization (JSON to Python objects), and comprehensive error handling (e.g., ResponseError). It ensures reliable and structured communication with the Ollama server.
Related Classes/Methods:
ollama._client.Client._request_raw(117:125)ollama._client.AsyncClient._request_raw(629:637)ollama._client.Client._request(128:134)ollama._client.AsyncClient._request(640:646)
This component groups all the specific functionalities exposed by the Ollama API. Each method (e.g., generate, chat, embed, pull, push, create_blob) prepares the specific request data, often utilizing Data Transformation Utilities, and then delegates the actual HTTP communication to the HTTP Communication Layer. It represents the business logic for each distinct API operation.
Related Classes/Methods:
ollama._client.Client.generate(182:198)ollama._client.AsyncClient.generate(694:710)ollama._client.Client.chat(269:280)ollama._client.AsyncClient.chat(780:791)ollama._client.Client.embed(358:377)ollama._client.AsyncClient.embed(870:889)ollama._client.Client.pull(402:408)ollama._client.AsyncClient.pull(914:920)ollama._client.Client.push(444:450)ollama._client.AsyncClient.push(956:962)ollama._client.Client.create_blob(559:573)ollama._client.AsyncClient.create_blob(1072:1093)ollama._client.Client.list(575:580)ollama._client.AsyncClient.list(1095:1100)ollama._client.Client.delete(582:592)ollama._client.AsyncClient.delete(1102:1112)ollama._client.Client.copy(594:605)ollama._client.AsyncClient.copy(1114:1125)ollama._client.Client.show(607:615)ollama._client.AsyncClient.show(1127:1135)ollama._client.Client.ps(617:622)ollama._client.AsyncClient.ps(1137:1142)ollama._client.Client.embeddings(379:399)ollama._client.AsyncClient.embeddings(891:911)
This component comprises all the Pydantic models that define the structured data for requests sent to and responses received from the Ollama API. This includes models for various API operations (e.g., GenerateRequest, ChatRequest), their corresponding responses, and common types like Options, Message, Tool, and error structures. These models are crucial for data validation, serialization, and deserialization, ensuring type safety and consistency.
Related Classes/Methods:
This component consists of helper functions responsible for transforming or preparing complex data types (like images, message lists, or Python functions intended as tools) into the specific format required by the Ollama API. These utilities ensure that data is correctly structured and encoded before being sent as part of an API request, abstracting away the complexities of data formatting.
Related Classes/Methods: