
AI HuggingFace
CertifiedUse Hugging Face Inference endpoints
AI HuggingFace
Use Hugging Face Inference endpoints
Routes requests to Hugging Face Inference Endpoints via the OpenAI-compatible gateway (default router.huggingface.co). Requires an API token and deployment model name.
type: io.kestra.plugin.ai.provider.HuggingFaceExamples
Chat completion with HuggingFace
id: chat_completion
namespace: company.ai
inputs:
- id: prompt
type: STRING
tasks:
- id: chat_completion
type: io.kestra.plugin.ai.completion.ChatCompletion
provider:
type: io.kestra.plugin.ai.provider.HuggingFace
apiKey: "{{ secret('HUGGING_FACE_API_KEY') }}"
modelName: HuggingFaceTB/SmolLM3-3B:hf-inference
messages:
- type: SYSTEM
content: You are a helpful assistant, answer concisely, avoid overly casual language or unnecessary verbosity.
- type: USER
content: "{{ inputs.prompt }}"
Properties
apiKey *string
API Key
API key used to authenticate against the provider. Store it as a Kestra secret rather than inline. No default: this property is required.
modelName *string
Model name
Identifier of the model to call, as named by the provider. Valid values depend on the provider and on whether the model is used for chat, embeddings, or image generation; see the provider's model catalog. No default: this property is required.
baseUrl string
https://router.huggingface.co/v1API base URL
Base URL of the Hugging Face router's OpenAI-compatible API. Defaults to https://router.huggingface.co/v1.
caPem string
CA PEM certificate content
PEM-encoded certificate authority chain, as text, used to verify the TLS certificate presented by a custom endpoint. Not set by default, in which case the JVM's default trust store is used.
clientPem string
Client PEM certificate content
PEM-encoded client certificate and private key, as text, used for mutual-TLS authentication against enterprise AI endpoints. Not set by default, in which case the default HTTP client is used.