mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 15:48:29 +00:00
Fix CI failures: remove unused imports and add streaming parameters to agent adapters and test mocks
Co-Authored-By: João <joao@crewai.com>
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@@ -1,4 +1,4 @@
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from typing import Any, AsyncIterable, Dict, List, Optional
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from typing import Any, Dict, List, Optional
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from pydantic import Field, PrivateAttr
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@@ -22,7 +22,6 @@ from crewai.utilities.events.agent_events import (
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)
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try:
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from langchain_core.messages import ToolMessage
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from langgraph.checkpoint.memory import MemorySaver
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from langgraph.prebuilt import create_react_agent
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@@ -126,6 +125,8 @@ class LangGraphAgentAdapter(BaseAgentAdapter):
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task: Any,
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context: Optional[str] = None,
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tools: Optional[List[BaseTool]] = None,
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stream: bool = False,
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stream_callback: Optional[Any] = None,
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) -> str:
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"""Execute a task using the LangGraph workflow."""
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self.create_agent_executor(tools)
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@@ -86,6 +86,8 @@ class OpenAIAgentAdapter(BaseAgentAdapter):
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task: Any,
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context: Optional[str] = None,
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tools: Optional[List[BaseTool]] = None,
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stream: bool = False,
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stream_callback: Optional[Any] = None,
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) -> str:
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"""Execute a task using the OpenAI Assistant"""
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self._converter_adapter.configure_structured_output(task)
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@@ -25,7 +25,7 @@ from crewai.security.security_config import SecurityConfig
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from crewai.tools.base_tool import BaseTool, Tool
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from crewai.utilities import I18N, Logger, RPMController
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from crewai.utilities.config import process_config
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from crewai.utilities.converter import Converter
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from crewai.utilities.string_utils import interpolate_only
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T = TypeVar("T", bound="BaseAgent")
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@@ -211,7 +211,6 @@ def test_llm_stream_chunk_to_crew_stream_chunk():
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llm_event = LLMStreamChunkEvent(chunk="test chunk")
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from crewai.utilities.events.crewai_event_bus import crewai_event_bus
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crewai_event_bus.emit(mock_source, llm_event)
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assert len(received_crew_chunks) == 1
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@@ -230,6 +229,7 @@ def test_multiple_agents_streaming():
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with patch('crewai.llm.LLM') as mock_llm_class:
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mock_llm = Mock()
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mock_llm.call.return_value = "Agent response"
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mock_llm.supports_stop_words = True
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mock_llm_class.return_value = mock_llm
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agent1 = Agent(
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@@ -119,7 +119,7 @@ def test_guardrail_error_in_context():
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# Mock execute_task to succeed on second attempt
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first_call = True
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def execute_task(task, context, tools):
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def execute_task(task, context, tools, stream=False, stream_callback=None):
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nonlocal first_call
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if first_call:
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first_call = False
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