AI MistralAI

AI MistralAI
Certified
Use Mistral models

Calls Mistral chat/embedding APIs with an API key. topK is not supported; chat configuration must respect model limits.

yaml
type: io.kestra.plugin.ai.provider.MistralAI

Examples

Chat completion with Mistral AI

yaml
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.MistralAI
      apiKey: "{{ secret('MISTRAL_API_KEY') }}"
      modelName: mistral-small-latest
    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

Mistral AI API key used to authenticate requests. Store it as a Kestra secret rather than inline. 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.

modelName string

Model name

Azure

Leverage Microsoft Azure services within Kestra data workflows.

AICloudDataInfrastructure

TypeSafe

Evaluate content with TypeSafe AI's System One models.

AIData

AI MistralAICertifiedUse Mistral models

More Plugins in this Category

Azure

TypeSafe

AI MistralAI
Certified
Use Mistral models