AI GitHubModels
CertifiedUse GitHub Models via Azure AI Inference
AI GitHubModels
Use GitHub Models via Azure AI Inference
Calls GitHub Models through the Azure AI Inference API with a GitHub token. Supports chat and embeddings; response format options map to Azure AI Inference capabilities.
type: io.kestra.plugin.ai.provider.GitHubModelsExamples
Chat completion with GitHub Models
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.GitHubModels
gitHubToken: "{{ secret('GITHUB_TOKEN') }}"
modelName: gpt-4o-mini
messages:
- type: SYSTEM
content: You are a helpful assistant, answer concisely.
- type: USER
content: "{{ inputs.prompt }}"
Properties
gitHubToken *string
GitHub Token
GitHub Personal Access Token (PAT) used to access GitHub Models. 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
Base URL
Custom base URL overriding the provider's default endpoint. Useful for enterprise gateways, proxies, self-hosted deployments, or test doubles such as WireMock. Defaults to the provider's public endpoint.
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.
