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

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.10.24)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
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

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-0.10.18.tar.gz (29.7 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-0.10.18-py3-none-any.whl (33.6 kB view details)

Uploaded Python 3

File details

Details for the file hf_inference_acp-0.10.18.tar.gz.

File metadata

  • Download URL: hf_inference_acp-0.10.18.tar.gz
  • Upload date:
  • Size: 29.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.10 {"installer":{"name":"uv","version":"0.12.10","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-0.10.18.tar.gz
Algorithm Hash digest
SHA256 68fbf6c64cc07282440ed3621ba022a8b63704138bc7b5b6922be8284a3db543
MD5 49704f7cff189118b6f12f28146ba200
BLAKE2b-256 b11e1ec2bb3fa7f01d19c82969d0276bcb850216d28db806fb54a310f87207c6

See more details on using hashes here.

File details

Details for the file hf_inference_acp-0.10.18-py3-none-any.whl.

File metadata

  • Download URL: hf_inference_acp-0.10.18-py3-none-any.whl
  • Upload date:
  • Size: 33.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.10 {"installer":{"name":"uv","version":"0.12.10","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-0.10.18-py3-none-any.whl
Algorithm Hash digest
SHA256 8ea0fc8cceee00e667e95aec79ca5179c87a51a2346878a6679a36e50279a4dc
MD5 0f8db0127c86e4bf1a5322d425fff8cf
BLAKE2b-256 6a191b2cd47fed7e101a94d4be54cb3a64f5da78bcbdef9763b99f45a6cd0594

See more details on using hashes here.

Release history Release notifications | RSS feed

0.10.24

2 files

0.10.23

2 files

0.10.22

2 files

0.10.21

2 files

0.10.20

2 files

0.10.19

2 files

This release

0.10.18 This release

2 files

0.10.17

2 files

0.10.16

2 files

0.10.15

2 files

0.10.14

2 files

0.10.13

2 files

0.10.12

2 files

0.10.11

2 files

0.10.10

2 files

0.10.9

2 files

0.10.8

2 files

0.10.7

2 files

0.10.6

2 files

0.10.5

2 files

0.10.4

2 files

0.10.3

2 files

0.10.2

2 files

0.10.1

2 files

0.10.0

2 files

0.9.30

2 files

0.9.29

2 files

0.9.28

2 files

0.9.27

2 files

0.9.26

2 files

0.9.25

2 files

0.9.24

2 files

0.9.23

2 files

0.9.22

2 files

0.9.21

2 files

0.9.20

2 files

0.9.19

2 files

0.9.18

2 files

0.9.17

2 files

0.9.16

2 files

0.9.15

2 files

0.9.14

2 files

0.9.13

2 files

0.9.12

2 files

0.9.10

2 files

0.9.9

2 files

0.9.8

2 files

0.9.7

2 files

0.9.6

2 files

0.9.5

2 files

0.9.4

2 files

0.9.3

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.22

2 files

0.7.21

2 files

0.7.20

2 files

0.7.19

2 files

0.7.18

2 files

0.7.17

2 files

0.7.16

2 files

0.7.15

2 files

0.7.14

2 files

0.7.13

2 files

0.7.12

2 files

0.7.11

2 files

0.7.10

2 files

0.7.9

2 files

0.7.8

2 files

0.7.7

2 files

0.7.6

2 files

0.7.5

2 files

0.7.4

2 files

0.7.3

2 files

0.7.2

2 files

0.7.1

2 files

0.7.0

2 files

0.6.26

2 files

0.6.25

2 files

0.6.24

2 files

0.6.23

2 files

0.6.22

2 files

0.6.21

2 files

0.6.20

2 files

0.6.19

2 files

0.6.18

2 files

0.6.17

2 files

0.6.16

2 files

0.6.15

2 files

0.6.14

2 files

0.6.13

2 files

0.6.12

2 files

0.6.11

2 files

0.6.10

2 files

0.6.9

2 files

0.6.8

2 files

0.6.7

2 files

0.6.6

2 files

0.6.5

2 files

0.6.4

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.11

2 files

0.5.10

2 files

0.5.9

2 files

0.5.8

2 files

0.5.7

2 files

0.5.6

2 files

0.5.5

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

0.4.56

2 files

0.4.55

2 files

0.4.54

2 files

0.4.53

2 files

0.4.52

2 files

0.4.51

2 files

0.4.50

2 files

0.4.49

2 files

0.4.48

2 files

0.4.47

2 files

0.4.46

2 files

0.4.45

2 files

0.4.44

2 files

0.4.43

2 files

0.4.42

2 files

0.4.41

2 files

0.4.40

2 files

0.4.39

2 files

0.4.38

2 files

0.4.37

2 files

0.4.36

2 files

0.4.35

2 files

0.4.34

2 files

0.4.33

2 files

0.4.32

2 files

0.4.31

2 files

0.4.30

2 files

0.4.29

2 files

0.4.28

2 files

0.4.27

2 files

0.4.26

2 files

0.4.25

2 files

0.4.24

2 files

0.4.23

2 files

0.4.22

2 files

0.4.21

2 files

0.4.20

2 files

0.4.19

2 files

0.4.18

2 files

0.4.17

2 files

0.4.16

2 files

0.4.15

2 files

0.4.14

2 files

0.4.13

2 files

0.4.12

2 files

0.4.11

2 files

0.4.10

2 files

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page