Removing LangChain and Rebuilding Executor (#1322)

* rebuilding executor

* removing langchain

* Making all tests good

* fixing types and adding ability for nor using system prompts

* improving types

* pleasing the types gods

* pleasing the types gods

* fixing parser, tools and executor

* making sure all tests pass

* final pass

* fixing type

* Updating Docs

* preparing to cut new version

src/crewai/agents/agent_builder/base_agent.py

@@ -102,7 +102,8 @@ class BaseAgent(ABC, BaseModel):
         description="Maximum number of requests per minute for the agent execution to be respected.",
     )
     allow_delegation: bool = Field(
-        default=True, description="Allow delegation of tasks to agents"
+        default=False,
+        description="Enable agent to delegate and ask questions among each other.",
     )
     tools: Optional[List[Any]] = Field(
         default_factory=list, description="Tools at agents' disposal"
@@ -224,10 +225,8 @@ class BaseAgent(ABC, BaseModel):
 
         # Copy llm and clear callbacks
         existing_llm = shallow_copy(self.llm)
-        existing_llm.callbacks = []
         copied_data = self.model_dump(exclude=exclude)
         copied_data = {k: v for k, v in copied_data.items() if v is not None}
-
         copied_agent = type(self)(**copied_data, llm=existing_llm, tools=self.tools)
 
         return copied_agent

src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -19,15 +19,13 @@ class CrewAgentExecutorMixin:
     crew_agent: Optional["BaseAgent"]
     task: Optional["Task"]
     iterations: int
-    force_answer_max_iterations: int
     have_forced_answer: bool
+    max_iter: int
     _i18n: I18N
 
     def _should_force_answer(self) -> bool:
         """Determine if a forced answer is required based on iteration count."""
-        return (
-            self.iterations == self.force_answer_max_iterations
-        ) and not self.have_forced_answer
+        return (self.iterations >= self.max_iter) and not self.have_forced_answer
 
     def _create_short_term_memory(self, output) -> None:
         """Create and save a short-term memory item if conditions are met."""