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Kimi for Copilot Chat

Kimi for Copilot Chat

Ivan Raytchinov

|
4 installs
| (0) | Free
Use Kimi and Moonshot models from the Copilot Chat model picker with BYOK, thinking, vision, and agent tools.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

Kimi for Copilot Chat

Use Kimi and Moonshot models from the normal Copilot Chat model picker.

This extension is a BYOK provider. It does not add a second chat sidebar or a local proxy. Pick a Kimi model in Copilot Chat and keep using Copilot's agent mode, tools, instructions, and MCP setup.

Repository: https://github.com/lucatotem/Kimi-Extension

What It Adds

  • Kimi models in the Copilot Chat model picker
  • API key storage through VS Code SecretStorage
  • Optional one-time import from KIMI_API_KEY or MOONSHOT_API_KEY
  • Native Copilot thinking blocks for Kimi reasoning_content
  • Tool calls and tool results for agent mode
  • Image and video content for Kimi models that support multimodal input
  • Optional model discovery through Kimi's /v1/models endpoint
  • Model ID overrides for compatible proxies

Models

The bundled picker entries are based on the current Kimi model list:

Model Use for
Kimi K2.7 Code Coding and agent tasks. Thinking is always on.
Kimi K2.6 General coding, agent tasks, text, image, and video. Thinking can be turned off.
Kimi K2.5 Previous K2 model with thinking and multimodal input.
Moonshot V1 8K / 32K / 128K Text generation at different context lengths.
Moonshot V1 Vision 8K / 32K / 128K Image understanding with text output.

When an API key is configured, the extension can also merge models returned by GET /v1/models.

Thinking

Kimi thinking models stream reasoning_content before the final answer. The extension reports those chunks as Copilot thinking parts, so they render separately from the response.

The Copilot model picker shows a Thinking control where Kimi supports it:

Value Kimi request
None thinking: { "type": "disabled" } on K2.6/K2.5
High thinking: { "type": "enabled" }
Max Enables thinking and uses keep: "all" where Kimi supports preserved thinking

Kimi K2.7 Code cannot disable thinking, so the picker only offers supported values for that model.

Commands

Command What it does
Kimi: Set API Key Store your Kimi API key
Kimi: Open API Keys Open the Kimi API key page
Kimi: Clear API Key Remove the stored key
Kimi: Open Settings Open extension settings
Kimi: Show Logs Open the Kimi output channel
Kimi: Open Request Dumps Folder Open verbose request dumps
Kimi: Refresh Models Clear the model cache and run discovery again

Settings

Setting Default Notes
kimi-copilot.baseUrl https://api.moonshot.ai/v1 Change this for compatible proxies.
kimi-copilot.maxTokens 0 0 leaves the output limit to the API default.
kimi-copilot.enableModelDiscovery true Adds models returned by /v1/models when a key is set.
kimi-copilot.modelIdOverrides official IDs Maps picker entries to API model IDs.
kimi-copilot.debugMode minimal verbose writes full request dumps. Use it only while diagnosing issues.

API Key Storage

Use Kimi: Set API Key once. The key is stored with VS Code SecretStorage, which uses the operating system keychain where VS Code supports it.

You can also start VS Code with one of these environment variables set:

KIMI_API_KEY=sk-...
MOONSHOT_API_KEY=sk-...

When the extension sees one of those variables and no key is already stored, it imports the value into SecretStorage. After that, you do not need to recreate or re-enter the key each time you use the extension.

Development

npm install
npm run compile

Press F5 in VS Code to launch an Extension Development Host.

Notes

Kimi rejects empty user messages. This extension drops empty text-only messages and preserves assistant tool calls with empty content, which is the shape expected by OpenAI-compatible tool-calling APIs.

Development note: this extension was built by ivanray with AI assistance. The goal is to match the Copilot Chat BYOK provider experience while keeping the Kimi-specific request handling clear and reviewable.

License

MIT

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