hf-inference-acp

Hugging Face inference agent with ACP (Agent Client Protocol) support, powered by fast-agent-mcp.

Installation

uvx hf-inference-acp

What is this?

This package provides an ACP-compatible agent for Hugging Face Inference API. It allows you to use Hugging Face's Inference Providers through any ACP-compatible client (like Toad).

ACP sessions are always connection-scoped.

Features

  • Setup Mode: Configure Hugging Face credentials and model settings
  • Hugging Face Mode: AI assistant powered by Hugging Face Inference API
  • HuggingFace MCP Server: Built-in integration with Hugging Face's MCP server for accessing models, datasets, and spaces

Quick Start

  1. Run the agent:

    uvx hf-inference-acp

  2. If HF_TOKEN is not set, you'll start in Setup mode with these commands:

    • /login - Get instructions for HuggingFace authentication
    • /set-model <model> - Set the default model
    • /check - Verify your configuration

  3. Once authenticated (HF_TOKEN is set), you'll automatically start in Hugging Face mode.

  4. In Hugging Face mode, use /connect to connect to the Hugging Face MCP server for model/dataset search tools.

Curated Model Aliases

/set-model supports short aliases from fast-agent's curated Hugging Face list, including:

  • kimi
  • glm
  • minimax
  • deepseek4pro
  • kimi25 (thinking profile)
  • qwen35 (thinking profile)
  • qwen35instruct (instruct profile)

Kimi 2.5 aliases resolve to hf.moonshotai/Kimi-K2.5:fireworks-ai with curated defaults:

  • kimi25: temperature=1.0, top_p=0.95

Qwen 3.5 aliases resolve to hf.Qwen/Qwen3.5-397B-A17B:novita with curated sampling defaults:

  • qwen35: temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
  • qwen35instruct: temperature=0.7, top_p=0.8, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0

Configuration

Configuration is stored at ~/.config/hf-inference/hf.config.yaml:

default_model: hf.moonshotai/Kimi-K2-Instruct-0905

mcp:
  servers:
    huggingface:
      url: "https://huggingface.co/mcp?login"

Authentication

Set your HuggingFace token using one of these methods:

  1. Environment variable:

    export HF_TOKEN=your_token_here

  2. HuggingFace CLI:

    huggingface-cli login

Get your token from: https://huggingface.co/settings/tokens

License

Apache License 2.0 - See the main repository for details.

More Information

For full documentation and the main project, visit: https://github.com/evalstate/fast-agent

Project links

Key dates

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  • Released:
Latest release

1 maintainer

PyPI data
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Avatar for evalstate from gravatar.com evalstate

Credits

Author: Fast Agent Maintainers

License

Apache Software License (Apache-2.0)

Requires

Python <3.15, >=3.12

Classifiers

Report project as malware

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