VS Code language model provider that connects Copilot Chat to Moonshot Kimi. Just enter your API key from kimi.com/code/console and start chatting with the model in VS Code Copilot Chat/Agent.
If you want to compile yourself
Install dependencies: npm install
Compile: npm run compile
Run npx vsce package to create the .vsix file.
Load the extension in VS Code.
Configure apiKey from kimi.com/code/console in the model provider settings.
API
Base URL: https://api.kimi.com/coding/v1
Chat endpoint: /chat/completions
Full endpoint used by the client: https://api.kimi.com/coding/v1/chat/completions
temperature is not sent by this extension. I am letting API handle it by itself. Chinese providers are better at handling these stuff by themselves, and I don't want to mess with it.
safety_identifier is not sent.
Image and data attachments are supported via LanguageModelDataPart; images are base64-encoded into image_url objects.
Default Headers
Currently, Kimi wouldn't accept ANY clients so we need to send extra headers to larp as an accepted client.
Each request includes:
Content-Type: application/json
Authorization: Bearer <apiKey>
User-Agent: KimiCLI/<version>
X-Msh-Platform: kimi_cli
X-Msh-Version: <version>
X-Msh-Device-Name: <hostname>
X-Msh-Device-Id: <generated device id>
Streaming and Tools
Streaming responses are consumed as SSE (data: lines).
Reasoning content (reasoning_content) is streamed and rendered in collapsible <details><summary>Thinking</summary> blocks.
Tool calls are collected from streamed deltas and emitted when the model finishes with tool_calls.
If the model returns tool calls after reasoning, the reasoning block is automatically closed before the tool calls are emitted.
