AnthropicChatGenerator

Generate chat responses using Anthropic's Claude language models.

Key Features

• Supports all Claude models, including Claude Sonnet, Claude Opus, and Claude Haiku.
• Accepts and returns messages in ChatMessage format.
• Supports multimodal inputs, including text and images.
• Supports streaming responses through a configurable callback.
• Supports tool calling for agentic workflows.
• Supports extended thinking for complex reasoning tasks.

Configuration

1. Drag the AnthropicChatGenerator component onto the canvas from the Component Library.
2. Click on the component to open the configuration panel.
3. On the General tab:
   1. Set the model to the Claude model you want to use (for example, claude-opus-4-5). For a full list of models, see the Anthropic documentation.
   2. Create a secret with your Anthropic API key and set it as api_key. Use ANTHROPIC_API_KEY as the environment variable name. For instructions, see Create Secrets.
4. Go to the Advanced tab to configure generation_kwargs such as max_tokens, temperature, top_p, and system.

Connections

AnthropicChatGenerator receives a list of ChatMessage objects as input, typically from PromptBuilder or ChatPromptBuilder. It outputs a list of reply ChatMessage objects you can connect to AnswerBuilder or other downstream components.

Source Code

To check this component's source code, open chat_generator.py in the Haystack Core Integrations repository.

Usage Examples

Basic Configuration

  AnthropicChatGenerator:
    type: haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator
    init_parameters:
      api_key:
        type: env_var
        env_vars:
        - ANTHROPIC_API_KEY
        strict: false
      model: claude-opus-4-5
      generation_kwargs:
        max_tokens: 1024
        temperature: 0.7

Using the Component in a Pipeline

# haystack-pipeline
components:
  prompt_builder:
    type: haystack.components.builders.chat_prompt_builder.ChatPromptBuilder
    init_parameters:
      required_variables: "*"
      template:
      - role: system
        content: You are a helpful assistant. Answer questions based on the provided documents.
      - role: user
        content: |
          Documents:
          {% for doc in documents %}
          {{ doc.content }}
          {% endfor %}
          Question: {{ question }}

  llm:
    type: haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator
    init_parameters:
      api_key:
        type: env_var
        env_vars:
        - ANTHROPIC_API_KEY
        strict: false
      model: claude-opus-4-5
      generation_kwargs:
        max_tokens: 1024

  answer_builder:
    type: deepset_cloud_custom_nodes.augmenters.deepset_answer_builder.DeepsetAnswerBuilder
    init_parameters:
      reference_pattern: acm

connections:
- sender: prompt_builder.prompt
  receiver: llm.messages
- sender: llm.replies
  receiver: answer_builder.replies

max_runs_per_component: 100

metadata: {}

inputs:
  query:
  - answer_builder.query
  - prompt_builder.question
  documents:
  - prompt_builder.documents

outputs:
  answers: answer_builder.answers

Parameters

Inputs

Parameter	Type	Description
messages	List[ChatMessage]	A list of chat messages representing the conversation so far.

Outputs

Parameter	Type	Description
replies	List[ChatMessage]	A list of generated reply messages from the model.

Init Parameters

These are the parameters you can configure in Pipeline Builder:

Parameter	Type	Default	Description
api_key	Secret	Secret.from_env_var("ANTHROPIC_API_KEY")	The Anthropic API key.
model	str	claude-sonnet-4-5	The name of the Claude model to use. For a full list, see the Anthropic documentation.
streaming_callback	Optional[Callable]	None	A callback function for streaming responses. When set, the model streams tokens as they're generated.
generation_kwargs	Optional[Dict[str, Any]]	None	Additional generation parameters passed to the Anthropic API, such as max_tokens, temperature, top_p, top_k, stop_sequences, and system.
ignore_tools_thinking_messages	bool	True	Whether to suppress thinking messages from tool use responses. Set to False to include them.
tools	Optional[List[Tool]]	None	A list of tools the model can use.
timeout	Optional[float]	None	Request timeout in seconds.
max_retries	Optional[int]	None	Maximum number of retries on API errors.

Run Method Parameters

These are the parameters you can configure for the component's run() method. This means you can pass these parameters at query time through the API, in Playground, or when running a job. For details, see Modify Pipeline Parameters at Query Time.

Parameter	Type	Default	Description
messages	List[ChatMessage]		A list of chat messages representing the conversation.
streaming_callback	Optional[Callable]	None	A callback function to override the init-time streaming callback.
generation_kwargs	Optional[Dict[str, Any]]	None	Additional generation parameters to override init-time values.
tools	Optional[List[Tool]]	None	Tools to make available to the model, overriding init-time tools.

Related Information

• Pipeline Components