GitHub Copilot CLI Can Discover Local Ollama Models
Starting with CLI 1.0.94-0, /model can discover a running Ollama provider, while tool calling, streaming, telemetry, and remote providers still need explicit review.
Key takeaways
GitHub updated Copilot CLI on October 7, 2026 so version 1.0.94-0 and later can discover supported models from a running local Ollama instance through the /model picker. Users can inspect the provider and endpoint, add a model, and use it in the current session without restarting the CLI. The workflow does not install Ollama or download model files, and compatible models must support tool calling and streaming. GitHub also highlights a privacy boundary that is easy to miss: selecting a local model does not automatically enable offline mode or disable GitHub telemetry. A remote provider may still receive prompts and code context even when offline mode is set. The practical task is therefore to verify the full route—runtime, endpoint, model capability, telemetry, tools, and outbound traffic—not merely the model label.
Direct answer
After /model discovers Ollama, verify the provider and endpoint, then test tool calling and streaming with non-sensitive data. If the goal is offline work, separately configure and test offline mode, telemetry, and every remote tool connection.
What this means for everyday users
Record CLI, Ollama, and model versions, endpoint, tool capability, offline variable, telemetry state, network destinations, quality, latency, memory, and fallback conditions.
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Summary
Local discovery reduces switching friction, but a privacy conclusion cannot come from a 'local' label. Use endpoint, network, telemetry, and tool-call evidence.
Sources
FAQ
What is this ENHE AI article about?
GitHub updated Copilot CLI on October 7, 2026 so version 1.0.94-0 and later can discover supported models from a running local Ollama instance through the /model picker. Users can inspect the provider and endpoint, add a model, and use it in the current session without restarting the CLI. The workflow does not install Ollama or download model files, and compatible models must support tool calling and streaming. GitHub also highlights a privacy boundary that is easy to miss: selecting a local model does not automatically enable offline mode or disable GitHub telemetry. A remote provider may still receive prompts and code context even when offline mode is set. The practical task is therefore to verify the full route—runtime, endpoint, model capability, telemetry, tools, and outbound traffic—not merely the model label.
Why is this AI update worth watching?
/model can discover a running Ollama provider. The CLI does not install a runtime or download models. Local models need tool calling and streaming support. Local selection does not automatically enable offline mode or disable telemetry.
What does it mean for everyday AI users?
Record CLI, Ollama, and model versions, endpoint, tool capability, offline variable, telemetry state, network destinations, quality, latency, memory, and fallback conditions.
Where can readers continue learning on ENHE AI?
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