Hugging Face · OpenAPI Overlay 1.0.0
API Evangelist conversational phrasing for Hugging Face Models API
8 actions
8 updates
phrasing
extends
openapi/hugging-face-models-api-openapi.yml
Generated by API Evangelist
Written by API Evangelist tooling for Hugging Face's API. It is a proposal applied on top of the contract, not a document Hugging Face publishes.
What the actions change
x-apievangelist-phrasing
Targets 8
$.info
$.paths['/models'].get
$.paths['/models/{repo_id}'].get
$.paths['/models/{repo_id}/revision/{revision}'].get
$.paths['/metrics'].get
$.paths['/models-tags-by-type'].get
$.paths['/v1/models'].get
$.paths['/v1/models/{model_id}'].get
OpenAPI Overlay
# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
title: API Evangelist conversational phrasing for Hugging Face Models API
version: 1.0.0
extends: openapi/hugging-face-models-api-openapi.yml
actions:
- target: $.info
update:
x-apievangelist-phrasing:
method: generated
generated: '2026-10-01'
generator: build-phrasing.py
label: Generated by API Evangelist
operations: 7
- target: $.paths['/models'].get
update:
x-apievangelist-phrasing:
intent: Search models on the Hub
effect: read
questions:
- Can I search the Hugging Face Hub for models by keyword, task or library?
- Which Hub models are tagged for a given pipeline task, sorted by downloads?
- What is the maximum number of Hub models one search can return?
instructions:
- text: Search Hub models for {search}.
slots:
search: query.search
- text: List Hub models for task {pipeline_tag} built with {library}, sorted by {sort}.
slots:
pipeline_tag: query.pipeline_tag
library: query.library
sort: query.sort
- text: Show up to {limit} Hub models published by {author}.
slots:
limit: query.limit
author: query.author
method: generated
generated: '2026-10-01'
- target: $.paths['/models/{repo_id}'].get
update:
x-apievangelist-phrasing:
intent: Get Hub details for one model repo
effect: read
questions:
- What does the Hub know about a model repository, like its tags, files and downloads?
- Who published a model repo and which pipeline task is it for?
instructions:
- text: Get the Hub model info for repo {repo_id}.
slots:
repo_id: path.repo_id
- text: Show me the latest repository details of model {repo_id}.
slots:
repo_id: path.repo_id
method: generated
generated: '2026-10-01'
- target: $.paths['/models/{repo_id}/revision/{revision}'].get
update:
x-apievangelist-phrasing:
intent: Get a model's info at a specific revision
effect: read
questions:
- Can I see what a model repo looked like at a particular branch, tag or commit?
- Which files did a model have at an older Git revision?
instructions:
- text: Get model {repo_id} info at revision {revision}.
slots:
repo_id: path.repo_id
revision: path.revision
- text: Show {repo_id} as of commit or branch {revision}.
slots:
repo_id: path.repo_id
revision: path.revision
method: generated
generated: '2026-10-01'
- target: $.paths['/metrics'].get
update:
x-apievangelist-phrasing:
intent: List evaluation metrics on the Hub
effect: read
questions:
- Which evaluation metrics are available on the Hub?
- Can I browse the metric names I can use to evaluate a model?
instructions:
- text: List the evaluation metrics on the Hub.
- text: Show me every available Hub evaluation metric.
method: generated
generated: '2026-10-01'
- target: $.paths['/models-tags-by-type'].get
update:
x-apievangelist-phrasing:
intent: List model tags grouped by type
effect: read
questions:
- What pipeline tags, libraries, languages and licenses can models be tagged with?
- Which tag values are valid when filtering model searches?
instructions:
- text: List all model tags grouped by type.
- text: Show me the model license and library tags I can filter on.
method: generated
generated: '2026-10-01'
- target: $.paths['/v1/models'].get
update:
x-apievangelist-phrasing:
intent: List models offered by inference providers
effect: read
questions:
- Which models can I call through Hugging Face inference providers right now?
- Can I get the model IDs the router accepts for inference requests?
instructions:
- text: List the models available through inference providers.
- text: Show me which model IDs I can send to the inference router.
method: generated
generated: '2026-10-01'
- target: $.paths['/v1/models/{model_id}'].get
update:
x-apievangelist-phrasing:
intent: Get an inference provider model's info
effect: read
questions:
- Is a particular model available for inference through the providers router?
- What basic metadata does the router report for a model I want to call?
instructions:
- text: Get inference availability info for model {model_id}.
slots:
model_id: path.model_id
- text: Check whether {model_id} can be called through inference providers.
slots:
model_id: path.model_id
method: generated
generated: '2026-10-01'
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