Amazon Bedrock Model Provider
yaml
type: "io.kestra.plugin.ai.provider.AmazonBedrock"Examples
Chat completion with OpenAI
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.AmazonBedrock
      accessKeyId: "{{ kv('AWS_ACCESS_KEY') }}"
      secretAccessKey: "{{ kv('AWS_SECRET_KEY') }}"
      modelName: anthropic.claude-3-sonnet-20240229-v1:0
      thinkingBudgetTokens: 1024
    messages:
      - type: SYSTEM
        content: You are a helpful assistant, answer concisely, avoid overly casual language or unnecessary verbosity.
      - type: USER
        content: "{{inputs.prompt}}"
Properties
accessKeyId *Requiredstring
AWS Access Key ID
modelName *Requiredstring
Model name
secretAccessKey *Requiredstring
AWS Secret Access Key
baseUrl string
Base URL
Custom base URL to override the default endpoint (useful for local tests, WireMock, or enterprise gateways).
caPem string
CA PEM certificate content
CA certificate as text, used to verify SSL/TLS connections when using custom endpoints.
clientPem string
Client PEM certificate content
PEM client certificate as text, used to authenticate the connection to enterprise AI endpoints.
modelType string
 Default 
COHERE Possible Values 
COHERETITANAmazon Bedrock Embedding Model Type
