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"
        inputSchema:
          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

id: anthropic_web_search
namespace: company.team

tasks:
  - id: search
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: "claude-sonnet-4-6"
    maxTokens: 2048
    messages:
      - type: USER
        content: "Summarize recent news about open-source orchestration tools."
    tools:
      - type: WEB_SEARCH
        maxUses: 3

id: anthropic_thinking_stream
namespace: company.team

tasks:
  - id: reason
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: claude-sonnet-4-6
    maxTokens: 4096
    thinking: true
    budgetTokens: 1024
    stream: true
    stopSequences: ["END"]
    metadata:
      userId: workflow-analysis
    serviceTier: STANDARD_ONLY
    connectTimeout: PT30S
    readTimeout: PT5M
    maxRetries: 2
    messages:
      - type: USER
        content: "Explain why the sum of two odd integers is even."

id: anthropic_multimodal
namespace: company.team

tasks:
  - id: analyze
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: claude-sonnet-4-6
    maxTokens: 2048
    systemPromptBlocks:
      - text: "Analyze the supplied sources and cite evidence."
        cacheControl: EPHEMERAL
    messages:
      - type: USER
        cacheControl: EPHEMERAL
        content:
          - type: TEXT
            text: "Compare the image with the report."
          - type: IMAGE
            source:
              type: URL
              url: https://upload.wikimedia.org/wikipedia/commons/a/a9/Example.jpg
          - type: DOCUMENT
            source:
              type: URL
              url: https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf
            title: Report
            citations:
              enabled: true

id: anthropic_file_content
namespace: company.team

inputs:
  - id: image_base64
    type: STRING
  - id: pdf_base64
    type: STRING
  - id: image_file_id
    type: STRING
  - id: pdf_file_id
    type: STRING

tasks:
  - id: analyze
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    model: claude-sonnet-4-6
    betas: [files-api-2025-04-14]
    messages:
      - type: USER
        content:
          - type: TEXT
            text: "Summarize these sources. File IDs come from UploadFile."
          - type: IMAGE
            source:
              type: BASE64
              mediaType: image/png
              data: "{{ inputs.image_base64 }}"
          - type: DOCUMENT
            source:
              type: BASE64
              mediaType: application/pdf
              data: "{{ inputs.pdf_base64 }}"
          - type: IMAGE
            source:
              type: FILE
              fileId: "{{ inputs.image_file_id }}"
          - type: DOCUMENT
            source:
              type: FILE
              fileId: "{{ inputs.pdf_file_id }}"

id: anthropic_tool_choice
namespace: company.team

tasks:
  - id: extract
    type: io.kestra.plugin.anthropic.ChatCompletion
    apiKey: "{{ secret('ANTHROPIC_API_KEY') }}"
    baseUrl: https://api.anthropic.com
    model: claude-sonnet-4-6
    toolChoice: TOOL
    toolChoiceName: extract_name
    tools:
      - name: extract_name
        description: Extract a person's name
        cacheControl: EPHEMERAL
        inputSchema:
          type: object
          properties:
            name:
              type: string
          required: [name]
    messages:
      - type: USER
        content: "My name is Ada."