Principle:Ollama Ollama Inference Dispatch

Knowledge Sources	Ollama
Domains	Systems, Model_Serving
Last Updated	2026-02-14 00:00 GMT

Overview

A handler delegation pattern that routes translated API requests through Ollama's native inference pipeline regardless of the originating API format.

Description

Inference Dispatch is the step where translated requests (from OpenAI, Anthropic, or native Ollama format) converge on the same inference execution path. The native ChatHandler and GenerateHandler process the request by obtaining a model runner from the scheduler, constructing the prompt, running inference, and streaming the response.

This convergence ensures that all API formats benefit from the same model management, GPU scheduling, prompt construction, and inference optimizations.

Usage

This is an internal architectural pattern. All inference requests, regardless of their origin API format, flow through the same native handlers. No user action is required.

Theoretical Basis

The dispatch pattern:

1. Request arrives at an API endpoint (native, OpenAI, or Anthropic).
2. Middleware translates the request to Ollama's internal format (if non-native).
3. Native handler (ChatHandler/GenerateHandler) processes the request:
   1. Obtains model runner from scheduler
   2. Constructs prompt with template
   3. Invokes inference engine
   4. Streams response through callback
4. Middleware translates the response back to the originating API format.

This ensures a single inference code path regardless of API surface.

Related Pages

Implemented By

• Implementation:Ollama_Ollama_Inference_Handler