diff --git a/integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py b/integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py
index 32c981ed09..26027ed320 100644
--- a/integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py
+++ b/integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py
@@ -107,6 +107,7 @@ class AnthropicChatGenerator:
         "top_k",
         "extra_headers",
         "thinking",
+        "output_config",
     ]
 
     def __init__(
@@ -144,6 +145,7 @@ def __init__(
             - `thinking`: A dictionary of thinking parameters to be passed to the model.
                 The `budget_tokens` passed for thinking should be less than `max_tokens`.
                 For more details and supported models, see: [Anthropic Extended Thinking](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking)
+            - `output_config`: A dictionary of output configuration options to be passed to the model.
 
         :param ignore_tools_thinking_messages: Anthropic's approach to tools (function calling) resolution involves a
             "chain of thought" messages before returning the actual function names and parameters in a message. If
diff --git a/integrations/anthropic/tests/test_chat_generator.py b/integrations/anthropic/tests/test_chat_generator.py
index e7b5c8256e..6dca51f4a5 100644
--- a/integrations/anthropic/tests/test_chat_generator.py
+++ b/integrations/anthropic/tests/test_chat_generator.py
@@ -328,6 +328,20 @@ def test_run_with_params(self, chat_messages, mock_anthropic_completion):
         assert response["replies"][0].meta["model"] == "claude-sonnet-4-5"
         assert response["replies"][0].meta["finish_reason"] == "stop"
 
+    def test_run_with_output_config(self, chat_messages, mock_anthropic_completion):
+        """
+        Test that output_config is passed to the Anthropic API.
+        """
+        output_config = {"effort": "medium"}
+        component = AnthropicChatGenerator(
+            api_key=Secret.from_token("test-api-key"),
+            generation_kwargs={"max_tokens": 10, "output_config": output_config},
+        )
+        component.run(chat_messages)
+
+        _, kwargs = mock_anthropic_completion.call_args
+        assert kwargs["output_config"] == output_config
+
     @pytest.mark.parametrize(
         "generation_kwargs,expected_kwargs",
         [