Use hosted Ollama Cloud models directly from the GitHub Copilot Chat model picker in Visual Studio Code—without installing Ollama or running a local model server.
This native VS Code LanguageModelChatProvider validates an Ollama API key, discovers hosted models, and streams responses directly from ollama.com into Copilot Chat without a local proxy.
- Direct Ollama Cloud integration with no local Ollama installation
- API keys stored in VS Code Secret Storage
- Live discovery with six-hour persisted models.dev enrichment
- Streaming text, separate thinking parts, image inputs, and agent-mode tool calls
- Verified model-specific thinking controls in the model picker
- Published per-model input, cached-input, and output pricing metadata
- Optional Ollama Cloud Web Search tool for agent mode
- Resilient native and fallback token accounting
- Status-bar five-hour and weekly subscription usage
- Install Ollama Cloud for GitHub Copilot Chat. You need VS Code 1.125 or newer, GitHub Copilot Chat, and Ollama Cloud access.
- Create a key in Ollama API keys.
- Open Manage Language Models, choose Add Models, select Ollama Cloud, name the entry, and paste the key.
- Repeat the previous step for any additional account or API key, then enable the models you want in Copilot Chat.
Composer controls override workspace defaults; ordered thinking controls default to High and verified binary controls default On. Click the Ollama status-bar item to inspect account utilization, per-model requests, and tokens observed by this extension. Account utilization and local token totals remain separate because Ollama limits are GPU/time based.
- Setup, commands, settings, and troubleshooting
- Models, thinking, and accounting
- API key and security model
- Development and releases
- Codex Bridge for Copilot Chat
- Grok for GitHub Copilot Chat
- OpenCode for Copilot Chat
- Poolside for GitHub Copilot Chat
Unofficial project; not affiliated with Ollama, GitHub, or Microsoft. Ollama account limits and charges still apply. Licensed under MIT.