Merge branch 'main' into github_repo_forker_tool_integration

Author: srini047

.github/labeler.yml

@@ -174,10 +174,10 @@ integration:weaviate:
       - any-glob-to-any-file: "integrations/weaviate/**/*"
       - any-glob-to-any-file: ".github/workflows/weaviate.yml"
 
-integration:weight_bias:
+integration:weights_and_biases_weave:
   - changed-files:
-      - any-glob-to-any-file: "integrations/weight_bias/**/*"
-      - any-glob-to-any-file: ".github/workflows/weight_bias.yml"
+      - any-glob-to-any-file: "integrations/weights_and_biases_weave/**/*"
+      - any-glob-to-any-file: ".github/workflows/weights_and_biases_weave.yml"
 
 # Topics
 topic:CI:

.github/workflows/github.yml

@@ -48,12 +48,9 @@ jobs:
 
       - name: Install Hatch
         run: pip install --upgrade hatch
-
-    # TODO: Once this integration is properly typed, use hatch run test:types
-    # https://github.com/deepset-ai/haystack-core-integrations/issues/1771
       - name: Lint
         if: matrix.python-version == '3.9' && runner.os == 'Linux'
-        run: hatch run fmt-check && hatch run lint:typing
+        run: hatch run fmt-check && hatch run test:types
 
       - name: Generate docs
         if: matrix.python-version == '3.9' && runner.os == 'Linux'

.github/workflows/meta_llama.yml

@@ -49,12 +49,9 @@ jobs:
 
       - name: Install Hatch
         run: pip install --upgrade hatch
-
-    # TODO: Once this integration is properly typed, use hatch run test:types
-    # https://github.com/deepset-ai/haystack-core-integrations/issues/1771
       - name: Lint
         if: matrix.python-version == '3.9' && runner.os == 'Linux'
-        run: hatch run fmt-check && hatch run lint:typing
+        run: hatch run fmt-check && hatch run test:types
 
       - name: Generate docs
         if: matrix.python-version == '3.9' && runner.os == 'Linux'

.github/workflows/openrouter.yml

@@ -49,12 +49,9 @@ jobs:
 
       - name: Install Hatch
         run: pip install --upgrade hatch
-
-    # TODO: Once this integration is properly typed, use hatch run test:types
-    # https://github.com/deepset-ai/haystack-core-integrations/issues/1771
       - name: Lint
         if: matrix.python-version == '3.9' && runner.os == 'Linux'
-        run: hatch run fmt-check && hatch run lint:typing
+        run: hatch run fmt-check && hatch run test:types
 
       - name: Generate docs
         if: matrix.python-version == '3.9' && runner.os == 'Linux'

.github/workflows/weights_and_biases_weave.yml

@@ -46,11 +46,9 @@ jobs:
       - name: Install Hatch
         run: pip install --upgrade hatch
 
-    # TODO: Once this integration is properly typed, use hatch run test:types
-    # https://github.com/deepset-ai/haystack-core-integrations/issues/1771
       - name: Lint
         if: matrix.python-version == '3.9' && runner.os == 'Linux'
-        run: hatch run fmt-check && hatch run lint:typing
+        run: hatch run fmt-check && hatch run test:types
 
       - name: Generate docs
         if: matrix.python-version == '3.9' && runner.os == 'Linux'

integrations/anthropic/CHANGELOG.md

@@ -1,5 +1,20 @@
 # Changelog
 
+## [integrations/anthropic-v3.0.0] - 2025-06-30
+
+### 🚀 Features
+
+- [**breaking**] Anthopic model update to `claude-sonnet-4-20250514` (#2022)
+
+### 🐛 Bug Fixes
+
+- Anthropic reports input tokens in first message delta (#2001)
+
+### 🧹 Chores
+
+- Improve typing for select_streaming_callback (#2008)
+
+
 ## [integrations/anthropic-v2.7.0] - 2025-06-25
 
 ### 🚀 Features

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

@@ -161,7 +161,7 @@ class AnthropicChatGenerator:
     from haystack_integrations.components.generators.anthropic import AnthropicChatGenerator
     from haystack.dataclasses import ChatMessage
 
-    generator = AnthropicChatGenerator(model="claude-3-5-sonnet-20240620",
+    generator = AnthropicChatGenerator(model="claude-sonnet-4-20250514",
                                        generation_kwargs={
                                            "max_tokens": 1000,
                                            "temperature": 0.7,
@@ -190,7 +190,7 @@ class AnthropicChatGenerator:
     def __init__(
         self,
         api_key: Secret = Secret.from_env_var("ANTHROPIC_API_KEY"),  # noqa: B008
-        model: str = "claude-3-5-sonnet-20240620",
+        model: str = "claude-sonnet-4-20250514",
         streaming_callback: Optional[StreamingCallbackT] = None,
         generation_kwargs: Optional[Dict[str, Any]] = None,
         ignore_tools_thinking_messages: bool = True,

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

@@ -39,7 +39,7 @@ class AnthropicVertexChatGenerator(AnthropicChatGenerator):
 
     messages = [ChatMessage.from_user("What's Natural Language Processing?")]
     client = AnthropicVertexChatGenerator(
-                model="claude-3-sonnet@20240229",
+                model="claude-sonnet-4@20250514",
                 project_id="your-project-id", region="your-region"
             )
     response = client.run(messages)
@@ -50,7 +50,7 @@ class AnthropicVertexChatGenerator(AnthropicChatGenerator):
     >> 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.")],
-    >> _name=None, _meta={'model': 'claude-3-sonnet@20240229', 'index': 0, 'finish_reason': 'end_turn',
+    >> _name=None, _meta={'model': 'claude-sonnet-4@20250514', 'index': 0, 'finish_reason': 'end_turn',
     >> 'usage': {'input_tokens': 15, 'output_tokens': 64}})]}
     ```
 
@@ -63,7 +63,7 @@ def __init__(
         self,
         region: str,
         project_id: str,
-        model: str = "claude-3-5-sonnet@20240620",
+        model: str = "claude-sonnet-4@20250514",
         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

@@ -35,7 +35,7 @@ class AnthropicGenerator:
     ```python
     from haystack_integrations.components.generators.anthropic import AnthropicGenerator
 
-    client = AnthropicGenerator(model="claude-3-sonnet-20240229")
+    client = AnthropicGenerator(model="claude-sonnet-4-20250514")
     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
@@ -60,7 +60,7 @@ class AnthropicGenerator:
     def __init__(
         self,
         api_key: Secret = Secret.from_env_var("ANTHROPIC_API_KEY"),  # noqa: B008
-        model: str = "claude-3-sonnet-20240229",
+        model: str = "claude-sonnet-4-20250514",
         streaming_callback: Optional[Callable[[StreamingChunk], None]] = None,
         system_prompt: Optional[str] = None,
         generation_kwargs: Optional[Dict[str, Any]] = None,

integrations/anthropic/tests/conftest.py

@@ -13,7 +13,7 @@ def mock_chat_completion():
         completion = Message(
             id="foo",
             content=[{"type": "text", "text": "Hello, world!"}],
-            model="claude-3-sonnet-20240229",
+            model="claude-sonnet-4-20250514",
             role="assistant",
             type="message",
             usage={"input_tokens": 57, "output_tokens": 40},
@@ -35,7 +35,7 @@ def mock_chat_completion_extended_thinking():
                 {"type": "thinking", "thinking": "This is a thinking part!", "signature": ""},
                 {"type": "text", "text": "Hello, world!"},
             ],
-            model="claude-3-sonnet-20240229",
+            model="claude-sonnet-4-20250514",
             role="assistant",
             type="message",
             usage={"input_tokens": 57, "output_tokens": 40},