Insight for: [Feature] Ollama / local model LLMAdapter

Integration of local LLM support via Ollama. Specifically, implementing an OllamaAdapter for the multi-agent framework.

Analyzed: Apr 2, 2026

The request for an 'Ollama / local model LLMAdapter' highlights a significant market trend: the growing demand for running multi-agent workflows without 'depending on cloud APIs.' This caters directly to the 'r/LocalLLaMA' community, emphasizing cost efficiency, data privacy, and reduced latency. By integrating Ollama, the framework expands its addressable market and enhances its value proposition for developers seeking greater control over their AI infrastructure. This move is crucial for positioning the framework as a versatile, privacy-conscious, and cost-effective solution, enabling broader adoption across diverse deployment environments and use cases where cloud dependency is a constraint.

Ollama local model LLMAdapter LLMAdapter interface local model support (Qwen) multi-agent workflows cloud APIs chat() stream() OllamaAdapter /api/chat endpoint tool calling function calling format streaming via SSE base URL acceptance criteria unit tests

GitHub Issue

Parent Entity

[Feature] Ollama / local model LLMAdapter

State: Open