anthropic: release 0.3.17 (#31852)

libs/partners/anthropic/pyproject.toml

@@ -7,12 +7,12 @@ authors = []
 license = { text = "MIT" }
 requires-python = ">=3.9"
 dependencies = [
-    "anthropic<1,>=0.52.0",
-    "langchain-core<1.0.0,>=0.3.66",
+    "anthropic<1,>=0.57.0",
+    "langchain-core<1.0.0,>=0.3.68",
     "pydantic<3.0.0,>=2.7.4",
 ]
 name = "langchain-anthropic"
-version = "0.3.16"
+version = "0.3.17"
 description = "An integration package connecting AnthropicMessages and LangChain"
 readme = "README.md"
 

libs/partners/anthropic/tests/integration_tests/test_chat_models.py

@@ -1085,6 +1085,106 @@ def test_files_api_pdf(block_format: str) -> None:
     _ = llm.invoke([input_message])
 
 
+def test_search_result_tool_message() -> None:
+    """Test that we can pass a search result tool message to the model."""
+    llm = ChatAnthropic(
+        model="claude-3-5-haiku-latest",
+        betas=["search-results-2025-06-09"],
+    )
+
+    @tool
+    def retrieval_tool(query: str) -> list[dict]:
+        """Retrieve information from a knowledge base."""
+        return [
+            {
+                "type": "search_result",
+                "title": "Leave policy",
+                "source": "HR Leave Policy 2025",
+                "citations": {"enabled": True},
+                "content": [
+                    {
+                        "type": "text",
+                        "text": (
+                            "To request vacation days, submit a leave request form "
+                            "through the HR portal. Approval will be sent by email."
+                        ),
+                    }
+                ],
+            }
+        ]
+
+    tool_call = {
+        "type": "tool_call",
+        "name": "retrieval_tool",
+        "args": {"query": "vacation days request process"},
+        "id": "toolu_abc123",
+    }
+
+    tool_message = retrieval_tool.invoke(tool_call)
+    assert isinstance(tool_message, ToolMessage)
+    assert isinstance(tool_message.content, list)
+
+    messages = [
+        HumanMessage("How do I request vacation days?"),
+        AIMessage(
+            [{"type": "text", "text": "Let me look that up for you."}],
+            tool_calls=[tool_call],
+        ),
+        tool_message,
+    ]
+
+    result = llm.invoke(messages)
+    assert isinstance(result, AIMessage)
+    assert isinstance(result.content, list)
+    assert any("citations" in block for block in result.content)
+
+
+def test_search_result_top_level() -> None:
+    llm = ChatAnthropic(
+        model="claude-3-5-haiku-latest",
+        betas=["search-results-2025-06-09"],
+    )
+    input_message = HumanMessage(
+        [
+            {
+                "type": "search_result",
+                "title": "Leave policy",
+                "source": "HR Leave Policy 2025 - page 1",
+                "citations": {"enabled": True},
+                "content": [
+                    {
+                        "type": "text",
+                        "text": (
+                            "To request vacation days, submit a leave request form "
+                            "through the HR portal. Approval will be sent by email."
+                        ),
+                    }
+                ],
+            },
+            {
+                "type": "search_result",
+                "title": "Leave policy",
+                "source": "HR Leave Policy 2025 - page 2",
+                "citations": {"enabled": True},
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "Managers have 3 days to approve a request.",
+                    }
+                ],
+            },
+            {
+                "type": "text",
+                "text": "How do I request vacation days?",
+            },
+        ]
+    )
+    result = llm.invoke([input_message])
+    assert isinstance(result, AIMessage)
+    assert isinstance(result.content, list)
+    assert any("citations" in block for block in result.content)
+
+
 def test_async_shared_client() -> None:
     llm = ChatAnthropic(model="claude-3-5-haiku-latest")
     llm._async_client  # Instantiates lazily