feat: Update Anthropic default models, pydocs (#839)

* Update default models, pydocs

* Update unit test

integrations/anthropic/example/documentation_rag_with_claude.py

@@ -23,7 +23,6 @@
     "llm",
     AnthropicChatGenerator(
         api_key=Secret.from_env_var("ANTHROPIC_API_KEY"),
-        model="claude-3-sonnet-20240229",
         streaming_callback=print_streaming_chunk,
     ),
 )

integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py

@@ -27,37 +27,38 @@ class AnthropicChatGenerator:
     Enables text generation using Anthropic state-of-the-art Claude 3 family of large language models (LLMs) through
     the Anthropic messaging API.
 
-    It supports models like `claude-3-opus`, `claude-3-sonnet`, and `claude-3-haiku`, accessed through the
-    `/v1/messages` API endpoint using the Claude v2.1 messaging version.
+    It supports models like `claude-3-5-sonnet`, `claude-3-opus`, `claude-3-sonnet`, and `claude-3-haiku`,
+    accessed through the [`/v1/messages`](https://docs.anthropic.com/en/api/messages) API endpoint.
 
     Users can pass any text generation parameters valid for the Anthropic messaging API directly to this component
     via the `generation_kwargs` parameter in `__init__` or the `generation_kwargs` parameter in the `run` method.
 
     For more details on the parameters supported by the Anthropic API, refer to the
-    Anthropic Message API [documentation](https://docs.anthropic.com/claude/reference/messages_post).
+    Anthropic Message API [documentation](https://docs.anthropic.com/en/api/messages).
 
     ```python
     from haystack_integrations.components.generators.anthropic import AnthropicChatGenerator
     from haystack.dataclasses import ChatMessage
 
     messages = [ChatMessage.from_user("What's Natural Language Processing?")]
-    client = AnthropicChatGenerator(model="claude-3-sonnet-20240229")
+    client = AnthropicChatGenerator(model="claude-3-5-sonnet-20240620")
     response = client.run(messages)
     print(response)
 
     >> {'replies': [ChatMessage(content='Natural Language Processing (NLP) is a field of artificial intelligence that
     >> focuses on enabling computers to understand, interpret, and generate human language. It involves developing
     >> techniques and algorithms to analyze and process text or speech data, allowing machines to comprehend and
     >> communicate in natural languages like English, Spanish, or Chinese.', role=<ChatRole.ASSISTANT: 'assistant'>,
-    >> name=None, meta={'model': 'claude-3-sonnet-20240229', 'index': 0, 'finish_reason': 'end_turn',
+    >> name=None, meta={'model': 'claude-3-5-sonnet-20240620', 'index': 0, 'finish_reason': 'end_turn',
     >> 'usage': {'input_tokens': 15, 'output_tokens': 64}})]}
     ```
 
     For more details on supported models and their capabilities, refer to the Anthropic
     [documentation](https://docs.anthropic.com/claude/docs/intro-to-claude).
 
-    Note: We don't yet support vision [capabilities](https://docs.anthropic.com/claude/docs/vision) in the current
-    implementation.
+    Note: We only support text input/output modalities, and
+    image [modality](https://docs.anthropic.com/en/docs/build-with-claude/vision) is not supported in
+    this version of AnthropicChatGenerator.
     """
 
     # The parameters that can be passed to the Anthropic API https://docs.anthropic.com/claude/reference/messages_post
@@ -76,7 +77,7 @@ class AnthropicChatGenerator:
     def __init__(
         self,
         api_key: Secret = Secret.from_env_var("ANTHROPIC_API_KEY"),  # noqa: B008
-        model: str = "claude-3-sonnet-20240229",
+        model: str = "claude-3-5-sonnet-20240620",
         streaming_callback: Optional[Callable[[StreamingChunk], None]] = None,
         generation_kwargs: Optional[Dict[str, Any]] = None,
         ignore_tools_thinking_messages: bool = True,

integrations/anthropic/src/haystack_integrations/components/generators/anthropic/generator.py

@@ -29,7 +29,7 @@ class AnthropicGenerator:
     ```python
     from haystack_integrations.components.generators.anthropic import AnthropicGenerator
 
-    client = AnthropicGenerator(model="claude-2.1")
+    client = AnthropicGenerator(model="claude-3-sonnet-20240229")
     response = client.run("What's Natural Language Processing? Be brief.")
     print(response)
     >>{'replies': ['Natural language processing (NLP) is a branch of artificial intelligence focused on enabling

integrations/anthropic/tests/test_chat_generator.py

@@ -23,7 +23,7 @@ def test_init_default(self, monkeypatch):
         monkeypatch.setenv("ANTHROPIC_API_KEY", "test-api-key")
         component = AnthropicChatGenerator()
         assert component.client.api_key == "test-api-key"
-        assert component.model == "claude-3-sonnet-20240229"
+        assert component.model == "claude-3-5-sonnet-20240620"
         assert component.streaming_callback is None
         assert not component.generation_kwargs
         assert component.ignore_tools_thinking_messages
@@ -36,13 +36,13 @@ def test_init_fail_wo_api_key(self, monkeypatch):
     def test_init_with_parameters(self):
         component = AnthropicChatGenerator(
             api_key=Secret.from_token("test-api-key"),
-            model="claude-3-sonnet-20240229",
+            model="claude-3-5-sonnet-20240620",
             streaming_callback=print_streaming_chunk,
             generation_kwargs={"max_tokens": 10, "some_test_param": "test-params"},
             ignore_tools_thinking_messages=False,
         )
         assert component.client.api_key == "test-api-key"
-        assert component.model == "claude-3-sonnet-20240229"
+        assert component.model == "claude-3-5-sonnet-20240620"
         assert component.streaming_callback is print_streaming_chunk
         assert component.generation_kwargs == {"max_tokens": 10, "some_test_param": "test-params"}
         assert component.ignore_tools_thinking_messages is False
@@ -55,7 +55,7 @@ def test_to_dict_default(self, monkeypatch):
             "type": "haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator",
             "init_parameters": {
                 "api_key": {"env_vars": ["ANTHROPIC_API_KEY"], "strict": True, "type": "env_var"},
-                "model": "claude-3-sonnet-20240229",
+                "model": "claude-3-5-sonnet-20240620",
                 "streaming_callback": None,
                 "generation_kwargs": {},
                 "ignore_tools_thinking_messages": True,
@@ -74,7 +74,7 @@ def test_to_dict_with_parameters(self, monkeypatch):
             "type": "haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator",
             "init_parameters": {
                 "api_key": {"env_vars": ["ENV_VAR"], "strict": True, "type": "env_var"},
-                "model": "claude-3-sonnet-20240229",
+                "model": "claude-3-5-sonnet-20240620",
                 "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
                 "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params"},
                 "ignore_tools_thinking_messages": True,
@@ -84,7 +84,7 @@ def test_to_dict_with_parameters(self, monkeypatch):
     def test_to_dict_with_lambda_streaming_callback(self, monkeypatch):
         monkeypatch.setenv("ANTHROPIC_API_KEY", "test-api-key")
         component = AnthropicChatGenerator(
-            model="claude-3-sonnet-20240229",
+            model="claude-3-5-sonnet-20240620",
             streaming_callback=lambda x: x,
             generation_kwargs={"max_tokens": 10, "some_test_param": "test-params"},
         )
@@ -93,7 +93,7 @@ def test_to_dict_with_lambda_streaming_callback(self, monkeypatch):
             "type": "haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator",
             "init_parameters": {
                 "api_key": {"env_vars": ["ANTHROPIC_API_KEY"], "strict": True, "type": "env_var"},
-                "model": "claude-3-sonnet-20240229",
+                "model": "claude-3-5-sonnet-20240620",
                 "streaming_callback": "tests.test_chat_generator.<lambda>",
                 "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params"},
                 "ignore_tools_thinking_messages": True,
@@ -106,14 +106,14 @@ def test_from_dict(self, monkeypatch):
             "type": "haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator",
             "init_parameters": {
                 "api_key": {"env_vars": ["ANTHROPIC_API_KEY"], "strict": True, "type": "env_var"},
-                "model": "claude-3-sonnet-20240229",
+                "model": "claude-3-5-sonnet-20240620",
                 "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
                 "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params"},
                 "ignore_tools_thinking_messages": True,
             },
         }
         component = AnthropicChatGenerator.from_dict(data)
-        assert component.model == "claude-3-sonnet-20240229"
+        assert component.model == "claude-3-5-sonnet-20240620"
         assert component.streaming_callback is print_streaming_chunk
         assert component.generation_kwargs == {"max_tokens": 10, "some_test_param": "test-params"}
         assert component.api_key == Secret.from_env_var("ANTHROPIC_API_KEY")
@@ -124,7 +124,7 @@ def test_from_dict_fail_wo_env_var(self, monkeypatch):
             "type": "haystack_integrations.components.generators.anthropic.chat.chat_generator.AnthropicChatGenerator",
             "init_parameters": {
                 "api_key": {"env_vars": ["ANTHROPIC_API_KEY"], "strict": True, "type": "env_var"},
-                "model": "claude-3-sonnet-20240229",
+                "model": "claude-3-5-sonnet-20240620",
                 "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
                 "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params"},
                 "ignore_tools_thinking_messages": True,