huggingface/llm-vscode

Health v2 · maintenance only

Adoption not part of the score

1313 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A VSCode extension providing LLM-powered features like Copilot-style ghost-text code completion, with configurable backends including the Hugging Face Inference API, Ollama, and OpenAI-compatible endpoints. It uses llm-ls as its backend and includes code attribution checking against The Stack dataset.

Use cases

• get copilot-style code completion in vscode
• use local llm models for code completion via ollama
• connect vscode to hugging face inference api for code generation
• check if generated code comes from the stack dataset
• use starcoder or custom models as coding assistant in editor

When to choose

• you want LLM code completion in VSCode with a choice of models and backends
• you prefer self-hosted or OpenAI-compatible endpoints instead of a proprietary assistant
• you need provenance/attribution checks on generated code

When to avoid

• you want a full chat-based coding agent rather than completion-focused features
• you use an editor other than VSCode (see llm.nvim or llm-intellij instead)
• you are unwilling to manage API tokens or rate limits on the free Inference API tier

Facets

plugin · maturity active

llm-inference editor plugin-system developer-tools large-language-models text-editors editor-plugin cross-platform vscode-extension code-completion ghost-text huggingface code-attribution llm-ls

Member repositories

For agents

markdown · JSON · MCP: product_card(name="huggingface/llm-vscode")