Skip to main content

Hugging Face inference agent with ACP support, powered by fast-agent-mcp

Project description

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 details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hf_inference_acp-0.8.1.tar.gz (30.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hf_inference_acp-0.8.1-py3-none-any.whl (33.9 kB view details)

Uploaded Python 3

File details

Details for the file hf_inference_acp-0.8.1.tar.gz.

File metadata

  • Download URL: hf_inference_acp-0.8.1.tar.gz
  • Upload date:
  • Size: 30.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for hf_inference_acp-0.8.1.tar.gz
Algorithm Hash digest
SHA256 60c2cc26757fcc28bd26e52697b98183da6d3a6bd828996c1405a8e39ca20e02
MD5 b21bec470eee48e646ad1ed126e05555
BLAKE2b-256 971a958ed7f6dba5a9c7747f75c7f67f04c7df2363821a98f79c7cabbdd8970b

See more details on using hashes here.

File details

Details for the file hf_inference_acp-0.8.1-py3-none-any.whl.

File metadata

  • Download URL: hf_inference_acp-0.8.1-py3-none-any.whl
  • Upload date:
  • Size: 33.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for hf_inference_acp-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 90d0138923c81a3502081c5edf48e331d7ac1993aa25764fa58c71cb48331bad
MD5 0e6ea21e56c3ac3c66841394c9d4b243
BLAKE2b-256 696577a24d69247cb2bdcc44032659d25e895896acf68e9675b4942727f03796

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page