Anthropic ChatCompletion

id: anthropic_chat_completion
namespace: company.team

tasks:
  - id: chat_completion
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 1024
    messages:
      - type: USER
        content: "What is the capital of Japan? Answer with a unique word and without any punctuation."

id: anthropic_code_generation
namespace: company.team

tasks:
  - id: code_generation
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 1500
    temperature: 0.3
    messages:
      - type: USER
        content: |
          Write a Python function that:
          1. Takes a list of numbers as input
          2. Filters out negative numbers
          3. Calculates the average of remaining positive numbers
          4. Returns the result rounded to 2 decimal places
          5. Include error handling for empty lists
          Also provide 3 test cases with expected outputs.

id: anthropic_context_conversation
namespace: company.team

tasks:
  - id: code_generation
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 800
    temperature: 0.5
    messages:
      - type: USER
        content: "Explain quantum computing in simple terms."
      - type: ASSISTANT
        content: "Quantum computing uses quantum mechanical phenomena like superposition and entanglement to process information differently than classical computers. Instead of bits that are either 0 or 1, quantum computers use quantum bits (qubits) that can exist in multiple states simultaneously."
      - type: USER
        content: "That is helpful! Can you give me a practical example of how this could be used in everyday life in the next 10 years?"

id: anthropic_cached_chat
namespace: company.team

tasks:
  - id: cached_chat
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 1024
    promptCaching: true
    system: "You are a helpful assistant with extensive knowledge about Kestra, the open-source orchestration platform."
    messages:
      - type: USER
        content: "What are the key features of Kestra?"

id: anthropic_structured_output
namespace: company.team

tasks:
  - id: extract_data
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 1024
    messages:
      - type: USER
        content: |
          Extract the following information from this text:
          "John Doe is 30 years old and works as a Software Engineer in San Francisco."
    tools:
      - name: extract_person_info
        description: "Extract structured information about a person"
        input_schema:
          type: object
          properties:
            name:
              type: string
              description: "The person's full name"
            age:
              type: integer
              description: "The person's age"
            occupation:
              type: string
              description: "The person's job title"
            location:
              type: string
              description: "The person's location"
          required:
            - name
            - age