feat: bump versions to 1.6.0 (#3974)

* feat: bump versions to 1.6.0

* bump project templates

docs/docs.json

@@ -326,7 +326,7 @@
             ]
           },
           {
-            "tab": "AMP",
+            "tab": "AOP",
             "icon": "briefcase",
             "groups": [
               {
@@ -753,7 +753,7 @@
             ]
           },
           {
-            "tab": "AMP",
+            "tab": "AOP",
             "icon": "briefcase",
             "groups": [
               {

docs/en/enterprise/introduction.mdx

@@ -7,7 +7,7 @@ mode: "wide"
 
 ## Introduction
 
-CrewAI AOP(Agent Management Platform) provides a platform for deploying, monitoring, and scaling your crews and agents in a production environment.
+CrewAI AOP(Agent Operations Platform) provides a platform for deploying, monitoring, and scaling your crews and agents in a production environment.
 
 <Frame>
   <img src="/images/enterprise/crewai-enterprise-dashboard.png" alt="CrewAI AOP Dashboard" />

docs/ko/enterprise/introduction.mdx

@@ -7,7 +7,7 @@ mode: "wide"
 
 ## 소개
 
-CrewAI AOP(Agent Management Platform)는 프로덕션 환경에서 crew와 agent를 배포, 모니터링, 확장할 수 있는 플랫폼을 제공합니다.
+CrewAI AOP(Agent Operation Platform)는 프로덕션 환경에서 crew와 agent를 배포, 모니터링, 확장할 수 있는 플랫폼을 제공합니다.
 
 <Frame>
   <img src="/images/enterprise/crewai-enterprise-dashboard.png" alt="CrewAI AOP Dashboard" />

docs/pt-BR/enterprise/introduction.mdx

@@ -7,7 +7,7 @@ mode: "wide"
 
 ## Introdução
 
-CrewAI AOP(Agent Management Platform) fornece uma plataforma para implementar, monitorar e escalar seus crews e agentes em um ambiente de produção.
+CrewAI AOP(Agent Operation Platform) fornece uma plataforma para implementar, monitorar e escalar seus crews e agentes em um ambiente de produção.
 
 <Frame>
   <img src="/images/enterprise/crewai-enterprise-dashboard.png" alt="CrewAI AOP Dashboard" />

lib/crewai-tools/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "pytube>=15.0.0",
     "requests>=2.32.5",
     "docker>=7.1.0",
-    "crewai==1.5.0",
+    "crewai==1.6.0",
     "lancedb>=0.5.4",
     "tiktoken>=0.8.0",
     "beautifulsoup4>=4.13.4",

lib/crewai-tools/src/crewai_tools/__init__.py

@@ -291,4 +291,4 @@ __all__ = [
     "ZapierActionTools",
 ]
 
-__version__ = "1.5.0"
+__version__ = "1.6.0"

lib/crewai/pyproject.toml

@@ -48,7 +48,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
 
 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.5.0",
+    "crewai-tools==1.6.0",
 ]
 embeddings = [
     "tiktoken~=0.8.0"

lib/crewai/src/crewai/__init__.py

@@ -40,7 +40,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
 
 _suppress_pydantic_deprecation_warnings()
 
-__version__ = "1.5.0"
+__version__ = "1.6.0"
 _telemetry_submitted = False
 
 

lib/crewai/src/crewai/cli/templates/crew/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.5.0"
+    "crewai[tools]==1.6.0"
 ]
 
 [project.scripts]

lib/crewai/src/crewai/cli/templates/flow/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.5.0"
+    "crewai[tools]==1.6.0"
 ]
 
 [project.scripts]

lib/crewai/src/crewai/llms/providers/azure/completion.py

@@ -310,6 +310,14 @@ class AzureCompletion(BaseLLM):
             params["tools"] = self._convert_tools_for_interference(tools)
             params["tool_choice"] = "auto"
 
+        additional_params = self.additional_params
+        additional_drop_params = additional_params.get('additional_drop_params')
+        drop_params = additional_params.get('drop_params')
+
+        if drop_params and isinstance(additional_drop_params, list):
+            for drop_param in additional_drop_params:
+                params.pop(drop_param, None)
+
         return params
 
     def _convert_tools_for_interference(

lib/crewai/src/crewai/memory/storage/rag_storage.py

@@ -16,6 +16,7 @@ from crewai.utilities.paths import db_storage_path
 
 
 if TYPE_CHECKING:
+    from crewai.crew import Crew
     from crewai.rag.core.base_client import BaseClient
     from crewai.rag.core.base_embeddings_provider import BaseEmbeddingsProvider
     from crewai.rag.embeddings.types import ProviderSpec
@@ -32,16 +33,16 @@ class RAGStorage(BaseRAGStorage):
         self,
         type: str,
         allow_reset: bool = True,
-        embedder_config: ProviderSpec | BaseEmbeddingsProvider | None = None,
-        crew: Any = None,
+        embedder_config: ProviderSpec | BaseEmbeddingsProvider[Any] | None = None,
+        crew: Crew | None = None,
         path: str | None = None,
     ) -> None:
         super().__init__(type, allow_reset, embedder_config, crew)
-        agents = crew.agents if crew else []
-        agents = [self._sanitize_role(agent.role) for agent in agents]
-        agents = "_".join(agents)
-        self.agents = agents
-        self.storage_file_name = self._build_storage_file_name(type, agents)
+        crew_agents = crew.agents if crew else []
+        sanitized_roles = [self._sanitize_role(agent.role) for agent in crew_agents]
+        agents_str = "_".join(sanitized_roles)
+        self.agents = agents_str
+        self.storage_file_name = self._build_storage_file_name(type, agents_str)
 
         self.type = type
         self._client: BaseClient | None = None
@@ -96,6 +97,10 @@ class RAGStorage(BaseRAGStorage):
                         ChromaEmbeddingFunctionWrapper, embedding_function
                     )
                 )
+
+            if self.path:
+                config.settings.persist_directory = self.path
+
             self._client = create_client(config)
 
     def _get_client(self) -> BaseClient:

lib/crewai/tests/llms/azure/test_azure.py

@@ -381,6 +381,7 @@ def test_azure_raises_error_when_endpoint_missing():
         with pytest.raises(ValueError, match="Azure endpoint is required"):
             AzureCompletion(model="gpt-4", api_key="test-key")
 
+
 def test_azure_raises_error_when_api_key_missing():
     """Test that AzureCompletion raises ValueError when API key is missing"""
     from crewai.llms.providers.azure.completion import AzureCompletion
@@ -389,6 +390,8 @@ def test_azure_raises_error_when_api_key_missing():
     with patch.dict(os.environ, {}, clear=True):
         with pytest.raises(ValueError, match="Azure API key is required"):
             AzureCompletion(model="gpt-4", endpoint="https://test.openai.azure.com")
+
+
 def test_azure_endpoint_configuration():
     """
     Test that Azure endpoint configuration works with multiple environment variable names
@@ -1086,3 +1089,27 @@ def test_azure_mistral_and_other_models():
             )
             assert "model" in params
             assert params["model"] == model_name
+
+
+def test_azure_completion_params_preparation_with_drop_params():
+    """
+    Test that completion parameters are properly prepared with drop paramaeters attribute respected
+    """
+    with patch.dict(os.environ, {
+        "AZURE_API_KEY": "test-key",
+        "AZURE_ENDPOINT": "https://models.inference.ai.azure.com"
+    }):
+        llm = LLM(
+            model="azure/o4-mini",
+            drop_params=True,
+            additional_drop_params=["stop"],
+            max_tokens=1000
+        )
+
+        from crewai.llms.providers.azure.completion import AzureCompletion
+        assert isinstance(llm, AzureCompletion)
+
+        messages = [{"role": "user", "content": "Hello"}]
+        params = llm._prepare_completion_params(messages)
+
+        assert params.get('stop') == None

lib/crewai/tests/rag/test_rag_storage_path.py

@@ -0,0 +1,82 @@
+"""Tests for RAGStorage custom path functionality."""
+
+from unittest.mock import MagicMock, patch
+
+from crewai.memory.storage.rag_storage import RAGStorage
+
+
+@patch("crewai.memory.storage.rag_storage.create_client")
+@patch("crewai.memory.storage.rag_storage.build_embedder")
+def test_rag_storage_custom_path(
+    mock_build_embedder: MagicMock,
+    mock_create_client: MagicMock,
+) -> None:
+    """Test RAGStorage uses custom path when provided."""
+    mock_build_embedder.return_value = MagicMock(return_value=[[0.1, 0.2, 0.3]])
+    mock_create_client.return_value = MagicMock()
+
+    custom_path = "/custom/memory/path"
+    embedder_config = {"provider": "openai", "config": {"model": "text-embedding-3-small"}}
+
+    RAGStorage(
+        type="short_term",
+        crew=None,
+        path=custom_path,
+        embedder_config=embedder_config,
+    )
+
+    mock_create_client.assert_called_once()
+    config_arg = mock_create_client.call_args[0][0]
+    assert config_arg.settings.persist_directory == custom_path
+
+
+@patch("crewai.memory.storage.rag_storage.create_client")
+@patch("crewai.memory.storage.rag_storage.build_embedder")
+def test_rag_storage_default_path_when_none(
+    mock_build_embedder: MagicMock,
+    mock_create_client: MagicMock,
+) -> None:
+    """Test RAGStorage uses default path when no custom path is provided."""
+    mock_build_embedder.return_value = MagicMock(return_value=[[0.1, 0.2, 0.3]])
+    mock_create_client.return_value = MagicMock()
+
+    embedder_config = {"provider": "openai", "config": {"model": "text-embedding-3-small"}}
+
+    storage = RAGStorage(
+        type="short_term",
+        crew=None,
+        path=None,
+        embedder_config=embedder_config,
+    )
+
+    mock_create_client.assert_called_once()
+    assert storage.path is None
+
+
+@patch("crewai.memory.storage.rag_storage.create_client")
+@patch("crewai.memory.storage.rag_storage.build_embedder")
+def test_rag_storage_custom_path_with_batch_size(
+    mock_build_embedder: MagicMock,
+    mock_create_client: MagicMock,
+) -> None:
+    """Test RAGStorage uses custom path with batch_size in config."""
+    mock_build_embedder.return_value = MagicMock(return_value=[[0.1, 0.2, 0.3]])
+    mock_create_client.return_value = MagicMock()
+
+    custom_path = "/custom/batch/path"
+    embedder_config = {
+        "provider": "openai",
+        "config": {"model": "text-embedding-3-small", "batch_size": 100},
+    }
+
+    RAGStorage(
+        type="long_term",
+        crew=None,
+        path=custom_path,
+        embedder_config=embedder_config,
+    )
+
+    mock_create_client.assert_called_once()
+    config_arg = mock_create_client.call_args[0][0]
+    assert config_arg.settings.persist_directory == custom_path
+    assert config_arg.batch_size == 100

lib/devtools/src/crewai_devtools/__init__.py

@@ -1,3 +1,3 @@
 """CrewAI development tools."""
 
-__version__ = "1.5.0"
+__version__ = "1.6.0"