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Update docs
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@@ -55,7 +55,7 @@ The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `olla
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ollama
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ollama
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```
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```
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You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `claude`, `codex`, `copilot`, `openclaw` and more.
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You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
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### Coding
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### Coding
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@@ -120,6 +120,7 @@
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"pages": [
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"pages": [
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"/integrations/claude-code",
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"/integrations/claude-code",
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"/integrations/codex",
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"/integrations/codex",
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"/integrations/copilot-cli",
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"/integrations/opencode",
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"/integrations/opencode",
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"/integrations/droid",
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"/integrations/droid",
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"/integrations/goose",
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"/integrations/goose",
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@@ -4,7 +4,7 @@ title: Copilot CLI
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GitHub Copilot CLI is GitHub's AI coding agent for the terminal. It can understand your codebase, make edits, run commands, and help you build software faster.
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GitHub Copilot CLI is GitHub's AI coding agent for the terminal. It can understand your codebase, make edits, run commands, and help you build software faster.
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Open models can be used with Copilot CLI through Ollama's OpenAI-compatible API, enabling you to use models such as `qwen3.5`, `glm-5:cloud`, `kimi-k2.5:cloud`.
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Open models can be used with Copilot CLI through Ollama, enabling you to use models such as `qwen3.5`, `glm-5.1:cloud`, `kimi-k2.5:cloud`.
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## Install
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## Install
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@@ -90,4 +90,4 @@ Or run with environment variables inline:
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COPILOT_PROVIDER_BASE_URL=http://localhost:11434/v1 COPILOT_PROVIDER_API_KEY= COPILOT_PROVIDER_WIRE_API=responses COPILOT_MODEL=glm-5:cloud copilot
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COPILOT_PROVIDER_BASE_URL=http://localhost:11434/v1 COPILOT_PROVIDER_API_KEY= COPILOT_PROVIDER_WIRE_API=responses COPILOT_MODEL=glm-5:cloud copilot
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```
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```
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**Note:** For best results, we recommend models with at least 64k context tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
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**Note:** Copilot requires a large context window. We recommend at least 64k tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
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