Merge branch 'main' into gl/fix/google-response-schema

lib/crewai/src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -37,7 +37,8 @@ class CrewAgentExecutorMixin:
             self.crew
             and self.agent
             and self.task
-            and f"Action: {sanitize_tool_name('Delegate work to coworker')}" not in output.text
+            and f"Action: {sanitize_tool_name('Delegate work to coworker')}"
+            not in output.text
         ):
             try:
                 if (
@@ -132,10 +133,11 @@ class CrewAgentExecutorMixin:
             and self.crew._long_term_memory
             and self.crew._entity_memory is None
         ):
-            self._printer.print(
-                content="Long term memory is enabled, but entity memory is not enabled. Please configure entity memory or set memory=True to automatically enable it.",
-                color="bold_yellow",
-            )
+            if self.agent and self.agent.verbose:
+                self._printer.print(
+                    content="Long term memory is enabled, but entity memory is not enabled. Please configure entity memory or set memory=True to automatically enable it.",
+                    color="bold_yellow",
+                )
 
     def _ask_human_input(self, final_answer: str) -> str:
         """Prompt human input with mode-appropriate messaging.

lib/crewai/src/crewai/agents/crew_agent_executor.py

@@ -206,13 +206,14 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         try:
             formatted_answer = self._invoke_loop()
         except AssertionError:
-            self._printer.print(
-                content="Agent failed to reach a final answer. This is likely a bug - please report it.",
-                color="red",
-            )
+            if self.agent.verbose:
+                self._printer.print(
+                    content="Agent failed to reach a final answer. This is likely a bug - please report it.",
+                    color="red",
+                )
             raise
         except Exception as e:
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
 
         if self.ask_for_human_input:
@@ -327,6 +328,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         messages=self.messages,
                         llm=self.llm,
                         callbacks=self.callbacks,
+                        verbose=self.agent.verbose,
                     )
                     break
 
@@ -341,6 +343,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     from_agent=self.agent,
                     response_model=self.response_model,
                     executor_context=self,
+                    verbose=self.agent.verbose,
                 )
                 # breakpoint()
                 if self.response_model is not None:
@@ -399,6 +402,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     iterations=self.iterations,
                     log_error_after=self.log_error_after,
                     printer=self._printer,
+                    verbose=self.agent.verbose,
                 )
 
             except Exception as e:
@@ -413,9 +417,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         llm=self.llm,
                         callbacks=self.callbacks,
                         i18n=self._i18n,
+                        verbose=self.agent.verbose,
                     )
                     continue
-                handle_unknown_error(self._printer, e)
+                handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
                 raise e
             finally:
                 self.iterations += 1
@@ -461,6 +466,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         messages=self.messages,
                         llm=self.llm,
                         callbacks=self.callbacks,
+                        verbose=self.agent.verbose,
                     )
                     self._show_logs(formatted_answer)
                     return formatted_answer
@@ -482,6 +488,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     from_agent=self.agent,
                     response_model=self.response_model,
                     executor_context=self,
+                    verbose=self.agent.verbose,
                 )
 
                 # Check if the response is a list of tool calls
@@ -535,9 +542,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         llm=self.llm,
                         callbacks=self.callbacks,
                         i18n=self._i18n,
+                        verbose=self.agent.verbose,
                     )
                     continue
-                handle_unknown_error(self._printer, e)
+                handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
                 raise e
             finally:
                 self.iterations += 1
@@ -559,6 +567,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             from_agent=self.agent,
             response_model=self.response_model,
             executor_context=self,
+            verbose=self.agent.verbose,
         )
 
         formatted_answer = AgentFinish(
@@ -755,10 +764,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         track_delegation_if_needed(func_name, args_dict, self.task)
 
         # Find the structured tool for hook context
-        structured_tool = None
-        for tool in self.tools or []:
-            if sanitize_tool_name(tool.name) == func_name:
-                structured_tool = tool
+        structured_tool: CrewStructuredTool | None = None
+        for structured in self.tools or []:
+            if sanitize_tool_name(structured.name) == func_name:
+                structured_tool = structured
                 break
 
         # Execute before_tool_call hooks
@@ -779,10 +788,11 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     hook_blocked = True
                     break
         except Exception as hook_error:
-            self._printer.print(
-                content=f"Error in before_tool_call hook: {hook_error}",
-                color="red",
-            )
+            if self.agent.verbose:
+                self._printer.print(
+                    content=f"Error in before_tool_call hook: {hook_error}",
+                    color="red",
+                )
 
         # If hook blocked execution, set result and skip tool execution
         if hook_blocked:
@@ -848,15 +858,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         after_hooks = get_after_tool_call_hooks()
         try:
             for after_hook in after_hooks:
-                hook_result = after_hook(after_hook_context)
-                if hook_result is not None:
-                    result = hook_result
+                after_hook_result = after_hook(after_hook_context)
+                if after_hook_result is not None:
+                    result = after_hook_result
                     after_hook_context.tool_result = result
         except Exception as hook_error:
-            self._printer.print(
-                content=f"Error in after_tool_call hook: {hook_error}",
-                color="red",
-            )
+            if self.agent.verbose:
+                self._printer.print(
+                    content=f"Error in after_tool_call hook: {hook_error}",
+                    color="red",
+                )
 
         # Emit tool usage finished event
         crewai_event_bus.emit(
@@ -942,13 +953,14 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         try:
             formatted_answer = await self._ainvoke_loop()
         except AssertionError:
-            self._printer.print(
-                content="Agent failed to reach a final answer. This is likely a bug - please report it.",
-                color="red",
-            )
+            if self.agent.verbose:
+                self._printer.print(
+                    content="Agent failed to reach a final answer. This is likely a bug - please report it.",
+                    color="red",
+                )
             raise
         except Exception as e:
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
 
         if self.ask_for_human_input:
@@ -999,6 +1011,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         messages=self.messages,
                         llm=self.llm,
                         callbacks=self.callbacks,
+                        verbose=self.agent.verbose,
                     )
                     break
 
@@ -1013,6 +1026,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     from_agent=self.agent,
                     response_model=self.response_model,
                     executor_context=self,
+                    verbose=self.agent.verbose,
                 )
 
                 if self.response_model is not None:
@@ -1070,6 +1084,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     iterations=self.iterations,
                     log_error_after=self.log_error_after,
                     printer=self._printer,
+                    verbose=self.agent.verbose,
                 )
 
             except Exception as e:
@@ -1083,9 +1098,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         llm=self.llm,
                         callbacks=self.callbacks,
                         i18n=self._i18n,
+                        verbose=self.agent.verbose,
                     )
                     continue
-                handle_unknown_error(self._printer, e)
+                handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
                 raise e
             finally:
                 self.iterations += 1
@@ -1125,6 +1141,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         messages=self.messages,
                         llm=self.llm,
                         callbacks=self.callbacks,
+                        verbose=self.agent.verbose,
                     )
                     self._show_logs(formatted_answer)
                     return formatted_answer
@@ -1146,6 +1163,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     from_agent=self.agent,
                     response_model=self.response_model,
                     executor_context=self,
+                    verbose=self.agent.verbose,
                 )
                 # Check if the response is a list of tool calls
                 if (
@@ -1198,9 +1216,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         llm=self.llm,
                         callbacks=self.callbacks,
                         i18n=self._i18n,
+                        verbose=self.agent.verbose,
                     )
                     continue
-                handle_unknown_error(self._printer, e)
+                handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
                 raise e
             finally:
                 self.iterations += 1
@@ -1222,6 +1241,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             from_agent=self.agent,
             response_model=self.response_model,
             executor_context=self,
+            verbose=self.agent.verbose,
         )
 
         formatted_answer = AgentFinish(
@@ -1339,10 +1359,11 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         )
 
         if train_iteration is None or not isinstance(train_iteration, int):
-            self._printer.print(
-                content="Invalid or missing train iteration. Cannot save training data.",
-                color="red",
-            )
+            if self.agent.verbose:
+                self._printer.print(
+                    content="Invalid or missing train iteration. Cannot save training data.",
+                    color="red",
+                )
             return
 
         training_handler = CrewTrainingHandler(TRAINING_DATA_FILE)
@@ -1362,13 +1383,14 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             if train_iteration in agent_training_data:
                 agent_training_data[train_iteration]["improved_output"] = result.output
             else:
-                self._printer.print(
-                    content=(
-                        f"No existing training data for agent {agent_id} and iteration "
-                        f"{train_iteration}. Cannot save improved output."
-                    ),
-                    color="red",
-                )
+                if self.agent.verbose:
+                    self._printer.print(
+                        content=(
+                            f"No existing training data for agent {agent_id} and iteration "
+                            f"{train_iteration}. Cannot save improved output."
+                        ),
+                        color="red",
+                    )
                 return
 
         # Update the training data and save

lib/crewai/src/crewai/experimental/agent_executor.py

@@ -341,6 +341,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             messages=list(self.state.messages),
             llm=self.llm,
             callbacks=self.callbacks,
+            verbose=self.agent.verbose,
         )
 
         self.state.current_answer = formatted_answer
@@ -366,6 +367,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                 from_agent=self.agent,
                 response_model=None,
                 executor_context=self,
+                verbose=self.agent.verbose,
             )
 
             # Parse the LLM response
@@ -401,7 +403,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                 return "context_error"
             if e.__class__.__module__.startswith("litellm"):
                 raise e
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
 
     @listen("continue_reasoning_native")
@@ -436,6 +438,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                 from_agent=self.agent,
                 response_model=None,
                 executor_context=self,
+                verbose=self.agent.verbose,
             )
 
             # Check if the response is a list of tool calls
@@ -474,7 +477,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                 return "context_error"
             if e.__class__.__module__.startswith("litellm"):
                 raise e
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
 
     @router(call_llm_and_parse)
@@ -670,10 +673,10 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
 
             track_delegation_if_needed(func_name, args_dict, self.task)
 
-            structured_tool = None
-            for tool in self.tools or []:
-                if sanitize_tool_name(tool.name) == func_name:
-                    structured_tool = tool
+            structured_tool: CrewStructuredTool | None = None
+            for structured in self.tools or []:
+                if sanitize_tool_name(structured.name) == func_name:
+                    structured_tool = structured
                     break
 
             hook_blocked = False
@@ -693,10 +696,11 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                         hook_blocked = True
                         break
             except Exception as hook_error:
-                self._printer.print(
-                    content=f"Error in before_tool_call hook: {hook_error}",
-                    color="red",
-                )
+                if self.agent.verbose:
+                    self._printer.print(
+                        content=f"Error in before_tool_call hook: {hook_error}",
+                        color="red",
+                    )
 
             if hook_blocked:
                 result = f"Tool execution blocked by hook. Tool: {func_name}"
@@ -758,15 +762,16 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             after_hooks = get_after_tool_call_hooks()
             try:
                 for after_hook in after_hooks:
-                    hook_result = after_hook(after_hook_context)
-                    if hook_result is not None:
-                        result = hook_result
+                    after_hook_result = after_hook(after_hook_context)
+                    if after_hook_result is not None:
+                        result = after_hook_result
                         after_hook_context.tool_result = result
             except Exception as hook_error:
-                self._printer.print(
-                    content=f"Error in after_tool_call hook: {hook_error}",
-                    color="red",
-                )
+                if self.agent.verbose:
+                    self._printer.print(
+                        content=f"Error in after_tool_call hook: {hook_error}",
+                        color="red",
+                    )
 
             # Emit tool usage finished event
             crewai_event_bus.emit(
@@ -911,6 +916,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             iterations=self.state.iterations,
             log_error_after=self.log_error_after,
             printer=self._printer,
+            verbose=self.agent.verbose,
         )
 
         if formatted_answer:
@@ -930,6 +936,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             llm=self.llm,
             callbacks=self.callbacks,
             i18n=self._i18n,
+            verbose=self.agent.verbose,
         )
 
         self.state.iterations += 1
@@ -1021,7 +1028,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             self._console.print(fail_text)
             raise
         except Exception as e:
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
         finally:
             self._is_executing = False
@@ -1106,7 +1113,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
             self._console.print(fail_text)
             raise
         except Exception as e:
-            handle_unknown_error(self._printer, e)
+            handle_unknown_error(self._printer, e, verbose=self.agent.verbose)
             raise
         finally:
             self._is_executing = False

lib/crewai/src/crewai/flow/persistence/decorators.py

@@ -118,17 +118,20 @@ class PersistenceDecorator:
                 )
             except Exception as e:
                 error_msg = LOG_MESSAGES["save_error"].format(method_name, str(e))
-                cls._printer.print(error_msg, color="red")
+                if verbose:
+                    cls._printer.print(error_msg, color="red")
                 logger.error(error_msg)
                 raise RuntimeError(f"State persistence failed: {e!s}") from e
         except AttributeError as e:
             error_msg = LOG_MESSAGES["state_missing"]
-            cls._printer.print(error_msg, color="red")
+            if verbose:
+                cls._printer.print(error_msg, color="red")
             logger.error(error_msg)
             raise ValueError(error_msg) from e
         except (TypeError, ValueError) as e:
             error_msg = LOG_MESSAGES["id_missing"]
-            cls._printer.print(error_msg, color="red")
+            if verbose:
+                cls._printer.print(error_msg, color="red")
             logger.error(error_msg)
             raise ValueError(error_msg) from e
 

lib/crewai/src/crewai/flow/utils.py

@@ -151,7 +151,9 @@ def _unwrap_function(function: Any) -> Any:
     return function
 
 
-def get_possible_return_constants(function: Any) -> list[str] | None:
+def get_possible_return_constants(
+    function: Any, verbose: bool = True
+) -> list[str] | None:
     """Extract possible string return values from a function using AST parsing.
 
     This function analyzes the source code of a router method to identify
@@ -178,10 +180,11 @@ def get_possible_return_constants(function: Any) -> list[str] | None:
         # Can't get source code
         return None
     except Exception as e:
-        _printer.print(
-            f"Error retrieving source code for function {function.__name__}: {e}",
-            color="red",
-        )
+        if verbose:
+            _printer.print(
+                f"Error retrieving source code for function {function.__name__}: {e}",
+                color="red",
+            )
         return None
 
     try:
@@ -190,25 +193,28 @@ def get_possible_return_constants(function: Any) -> list[str] | None:
         # Parse the source code into an AST
         code_ast = ast.parse(source)
     except IndentationError as e:
-        _printer.print(
-            f"IndentationError while parsing source code of {function.__name__}: {e}",
-            color="red",
-        )
-        _printer.print(f"Source code:\n{source}", color="yellow")
+        if verbose:
+            _printer.print(
+                f"IndentationError while parsing source code of {function.__name__}: {e}",
+                color="red",
+            )
+            _printer.print(f"Source code:\n{source}", color="yellow")
         return None
     except SyntaxError as e:
-        _printer.print(
-            f"SyntaxError while parsing source code of {function.__name__}: {e}",
-            color="red",
-        )
-        _printer.print(f"Source code:\n{source}", color="yellow")
+        if verbose:
+            _printer.print(
+                f"SyntaxError while parsing source code of {function.__name__}: {e}",
+                color="red",
+            )
+            _printer.print(f"Source code:\n{source}", color="yellow")
         return None
     except Exception as e:
-        _printer.print(
-            f"Unexpected error while parsing source code of {function.__name__}: {e}",
-            color="red",
-        )
-        _printer.print(f"Source code:\n{source}", color="yellow")
+        if verbose:
+            _printer.print(
+                f"Unexpected error while parsing source code of {function.__name__}: {e}",
+                color="red",
+            )
+            _printer.print(f"Source code:\n{source}", color="yellow")
         return None
 
     return_values: set[str] = set()
@@ -388,15 +394,17 @@ def get_possible_return_constants(function: Any) -> list[str] | None:
 
                 StateAttributeVisitor().visit(class_ast)
             except Exception as e:
-                _printer.print(
-                    f"Could not analyze class context for {function.__name__}: {e}",
-                    color="yellow",
-                )
+                if verbose:
+                    _printer.print(
+                        f"Could not analyze class context for {function.__name__}: {e}",
+                        color="yellow",
+                    )
     except Exception as e:
-        _printer.print(
-            f"Could not introspect class for {function.__name__}: {e}",
-            color="yellow",
-        )
+        if verbose:
+            _printer.print(
+                f"Could not introspect class for {function.__name__}: {e}",
+                color="yellow",
+            )
 
     VariableAssignmentVisitor().visit(code_ast)
     ReturnVisitor().visit(code_ast)

lib/crewai/src/crewai/lite_agent.py

@@ -72,13 +72,13 @@ from crewai.utilities.agent_utils import (
 from crewai.utilities.converter import (
     Converter,
     ConverterError,
-    generate_model_description,
 )
 from crewai.utilities.guardrail import process_guardrail
 from crewai.utilities.guardrail_types import GuardrailCallable, GuardrailType
 from crewai.utilities.i18n import I18N, get_i18n
 from crewai.utilities.llm_utils import create_llm
 from crewai.utilities.printer import Printer
+from crewai.utilities.pydantic_schema_utils import generate_model_description
 from crewai.utilities.token_counter_callback import TokenCalcHandler
 from crewai.utilities.tool_utils import execute_tool_and_check_finality
 from crewai.utilities.types import LLMMessage
@@ -344,11 +344,12 @@ class LiteAgent(FlowTrackable, BaseModel):
             )
 
         except Exception as e:
-            self._printer.print(
-                content="Agent failed to reach a final answer. This is likely a bug - please report it.",
-                color="red",
-            )
-            handle_unknown_error(self._printer, e)
+            if self.verbose:
+                self._printer.print(
+                    content="Agent failed to reach a final answer. This is likely a bug - please report it.",
+                    color="red",
+                )
+            handle_unknown_error(self._printer, e, verbose=self.verbose)
             # Emit error event
             crewai_event_bus.emit(
                 self,
@@ -396,10 +397,11 @@ class LiteAgent(FlowTrackable, BaseModel):
                 if isinstance(result, BaseModel):
                     formatted_result = result
             except ConverterError as e:
-                self._printer.print(
-                    content=f"Failed to parse output into response format after retries: {e.message}",
-                    color="yellow",
-                )
+                if self.verbose:
+                    self._printer.print(
+                        content=f"Failed to parse output into response format after retries: {e.message}",
+                        color="yellow",
+                    )
 
         # Calculate token usage metrics
         if isinstance(self.llm, BaseLLM):
@@ -605,6 +607,7 @@ class LiteAgent(FlowTrackable, BaseModel):
                         messages=self._messages,
                         llm=cast(LLM, self.llm),
                         callbacks=self._callbacks,
+                        verbose=self.verbose,
                     )
 
                 enforce_rpm_limit(self.request_within_rpm_limit)
@@ -617,6 +620,7 @@ class LiteAgent(FlowTrackable, BaseModel):
                         printer=self._printer,
                         from_agent=self,
                         executor_context=self,
+                        verbose=self.verbose,
                     )
 
                 except Exception as e:
@@ -646,16 +650,18 @@ class LiteAgent(FlowTrackable, BaseModel):
 
                 self._append_message(formatted_answer.text, role="assistant")
             except OutputParserError as e:  # noqa: PERF203
-                self._printer.print(
-                    content="Failed to parse LLM output. Retrying...",
-                    color="yellow",
-                )
+                if self.verbose:
+                    self._printer.print(
+                        content="Failed to parse LLM output. Retrying...",
+                        color="yellow",
+                    )
                 formatted_answer = handle_output_parser_exception(
                     e=e,
                     messages=self._messages,
                     iterations=self._iterations,
                     log_error_after=3,
                     printer=self._printer,
+                    verbose=self.verbose,
                 )
 
             except Exception as e:
@@ -670,9 +676,10 @@ class LiteAgent(FlowTrackable, BaseModel):
                         llm=cast(LLM, self.llm),
                         callbacks=self._callbacks,
                         i18n=self.i18n,
+                        verbose=self.verbose,
                     )
                     continue
-                handle_unknown_error(self._printer, e)
+                handle_unknown_error(self._printer, e, verbose=self.verbose)
                 raise e
 
             finally:

lib/crewai/src/crewai/llms/base_llm.py

@@ -404,7 +404,7 @@ class BaseLLM(ABC):
         from_agent: Agent | None = None,
         tool_call: dict[str, Any] | None = None,
         call_type: LLMCallType | None = None,
-        response_id: str | None = None
+        response_id: str | None = None,
     ) -> None:
         """Emit stream chunk event.
 
@@ -427,7 +427,7 @@ class BaseLLM(ABC):
                 from_task=from_task,
                 from_agent=from_agent,
                 call_type=call_type,
-                response_id=response_id
+                response_id=response_id,
             ),
         )
 
@@ -497,7 +497,7 @@ class BaseLLM(ABC):
                 from_agent=from_agent,
             )
 
-            return result
+            return str(result) if not isinstance(result, str) else result
 
         except Exception as e:
             error_msg = f"Error executing function '{function_name}': {e!s}"
@@ -737,22 +737,25 @@ class BaseLLM(ABC):
             task=None,
             crew=None,
         )
+        verbose = getattr(from_agent, "verbose", True) if from_agent else True
         printer = Printer()
 
         try:
             for hook in before_hooks:
                 result = hook(hook_context)
                 if result is False:
-                    printer.print(
-                        content="LLM call blocked by before_llm_call hook",
-                        color="yellow",
-                    )
+                    if verbose:
+                        printer.print(
+                            content="LLM call blocked by before_llm_call hook",
+                            color="yellow",
+                        )
                     return False
         except Exception as e:
-            printer.print(
-                content=f"Error in before_llm_call hook: {e}",
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=f"Error in before_llm_call hook: {e}",
+                    color="yellow",
+                )
 
         return True
 
@@ -805,6 +808,7 @@ class BaseLLM(ABC):
             crew=None,
             response=response,
         )
+        verbose = getattr(from_agent, "verbose", True) if from_agent else True
         printer = Printer()
         modified_response = response
 
@@ -815,9 +819,10 @@ class BaseLLM(ABC):
                     modified_response = result
                     hook_context.response = modified_response
         except Exception as e:
-            printer.print(
-                content=f"Error in after_llm_call hook: {e}",
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=f"Error in after_llm_call hook: {e}",
+                    color="yellow",
+                )
 
         return modified_response

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

@@ -466,9 +466,9 @@ class GeminiCompletion(BaseLLM):
         if response_model:
             config_params["response_mime_type"] = "application/json"
             schema_output = generate_model_description(response_model)
-            config_params["response_schema"] = schema_output.get("json_schema", {}).get(
-                "schema", {}
-            )
+            config_params["response_json_schema"] = schema_output.get(
+                "json_schema", {}
+            ).get("schema", {})
 
         # Handle tools for supported models
         if tools and self.supports_tools:

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

@@ -12,15 +12,17 @@ from crewai.utilities.paths import db_storage_path
 class LTMSQLiteStorage:
     """SQLite storage class for long-term memory data."""
 
-    def __init__(self, db_path: str | None = None) -> None:
+    def __init__(self, db_path: str | None = None, verbose: bool = True) -> None:
         """Initialize the SQLite storage.
 
         Args:
             db_path: Optional path to the database file.
+            verbose: Whether to print error messages.
         """
         if db_path is None:
             db_path = str(Path(db_storage_path()) / "long_term_memory_storage.db")
         self.db_path = db_path
+        self._verbose = verbose
         self._printer: Printer = Printer()
         Path(self.db_path).parent.mkdir(parents=True, exist_ok=True)
         self._initialize_db()
@@ -44,10 +46,11 @@ class LTMSQLiteStorage:
 
                 conn.commit()
         except sqlite3.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred during database initialization: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred during database initialization: {e}",
+                    color="red",
+                )
 
     def save(
         self,
@@ -69,10 +72,11 @@ class LTMSQLiteStorage:
                 )
                 conn.commit()
         except sqlite3.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while saving to LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while saving to LTM: {e}",
+                    color="red",
+                )
 
     def load(self, task_description: str, latest_n: int) -> list[dict[str, Any]] | None:
         """Queries the LTM table by task description with error handling."""
@@ -101,10 +105,11 @@ class LTMSQLiteStorage:
                     ]
 
         except sqlite3.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while querying LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while querying LTM: {e}",
+                    color="red",
+                )
         return None
 
     def reset(self) -> None:
@@ -116,10 +121,11 @@ class LTMSQLiteStorage:
                 conn.commit()
 
         except sqlite3.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while deleting all rows in LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while deleting all rows in LTM: {e}",
+                    color="red",
+                )
 
     async def asave(
         self,
@@ -147,10 +153,11 @@ class LTMSQLiteStorage:
                 )
                 await conn.commit()
         except aiosqlite.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while saving to LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while saving to LTM: {e}",
+                    color="red",
+                )
 
     async def aload(
         self, task_description: str, latest_n: int
@@ -187,10 +194,11 @@ class LTMSQLiteStorage:
                         for row in rows
                     ]
         except aiosqlite.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while querying LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while querying LTM: {e}",
+                    color="red",
+                )
         return None
 
     async def areset(self) -> None:
@@ -200,7 +208,8 @@ class LTMSQLiteStorage:
                 await conn.execute("DELETE FROM long_term_memories")
                 await conn.commit()
         except aiosqlite.Error as e:
-            self._printer.print(
-                content=f"MEMORY ERROR: An error occurred while deleting all rows in LTM: {e}",
-                color="red",
-            )
+            if self._verbose:
+                self._printer.print(
+                    content=f"MEMORY ERROR: An error occurred while deleting all rows in LTM: {e}",
+                    color="red",
+                )

lib/crewai/src/crewai/rag/embeddings/providers/ibm/embedding_callable.py

@@ -1,6 +1,6 @@
 """IBM WatsonX embedding function implementation."""
 
-from typing import cast
+from typing import Any, cast
 
 from chromadb.api.types import Documents, EmbeddingFunction, Embeddings
 from typing_extensions import Unpack
@@ -15,14 +15,18 @@ _printer = Printer()
 class WatsonXEmbeddingFunction(EmbeddingFunction[Documents]):
     """Embedding function for IBM WatsonX models."""
 
-    def __init__(self, **kwargs: Unpack[WatsonXProviderConfig]) -> None:
+    def __init__(
+        self, *, verbose: bool = True, **kwargs: Unpack[WatsonXProviderConfig]
+    ) -> None:
         """Initialize WatsonX embedding function.
 
         Args:
+            verbose: Whether to print error messages.
             **kwargs: Configuration parameters for WatsonX Embeddings and Credentials.
         """
         super().__init__(**kwargs)
         self._config = kwargs
+        self._verbose = verbose
 
     @staticmethod
     def name() -> str:
@@ -56,7 +60,7 @@ class WatsonXEmbeddingFunction(EmbeddingFunction[Documents]):
         if isinstance(input, str):
             input = [input]
 
-        embeddings_config: dict = {
+        embeddings_config: dict[str, Any] = {
             "model_id": self._config["model_id"],
         }
         if "params" in self._config and self._config["params"] is not None:
@@ -90,7 +94,7 @@ class WatsonXEmbeddingFunction(EmbeddingFunction[Documents]):
         if "credentials" in self._config and self._config["credentials"] is not None:
             embeddings_config["credentials"] = self._config["credentials"]
         else:
-            cred_config: dict = {}
+            cred_config: dict[str, Any] = {}
             if "url" in self._config and self._config["url"] is not None:
                 cred_config["url"] = self._config["url"]
             if "api_key" in self._config and self._config["api_key"] is not None:
@@ -159,5 +163,6 @@ class WatsonXEmbeddingFunction(EmbeddingFunction[Documents]):
             embeddings = embedding.embed_documents(input)
             return cast(Embeddings, embeddings)
         except Exception as e:
-            _printer.print(f"Error during WatsonX embedding: {e}", color="red")
+            if self._verbose:
+                _printer.print(f"Error during WatsonX embedding: {e}", color="red")
             raise

lib/crewai/src/crewai/task.py

@@ -767,10 +767,11 @@ class Task(BaseModel):
             if files:
                 supported_types: list[str] = []
                 if self.agent.llm and self.agent.llm.supports_multimodal():
-                    provider = getattr(self.agent.llm, "provider", None) or getattr(
-                        self.agent.llm, "model", "openai"
+                    provider: str = str(
+                        getattr(self.agent.llm, "provider", None)
+                        or getattr(self.agent.llm, "model", "openai")
                     )
-                    api = getattr(self.agent.llm, "api", None)
+                    api: str | None = getattr(self.agent.llm, "api", None)
                     supported_types = get_supported_content_types(provider, api)
 
                 def is_auto_injected(content_type: str) -> bool:
@@ -887,10 +888,11 @@ Follow these guidelines:
             try:
                 crew_chat_messages = json.loads(crew_chat_messages_json)
             except json.JSONDecodeError as e:
-                _printer.print(
-                    f"An error occurred while parsing crew chat messages: {e}",
-                    color="red",
-                )
+                if self.agent and self.agent.verbose:
+                    _printer.print(
+                        f"An error occurred while parsing crew chat messages: {e}",
+                        color="red",
+                    )
                 raise
 
             conversation_history = "\n".join(
@@ -1132,11 +1134,12 @@ Follow these guidelines:
                 guardrail_result_error=guardrail_result.error,
                 task_output=task_output.raw,
             )
-            printer = Printer()
-            printer.print(
-                content=f"Guardrail {guardrail_index if guardrail_index is not None else ''} blocked (attempt {attempt + 1}/{max_attempts}), retrying due to: {guardrail_result.error}\n",
-                color="yellow",
-            )
+            if agent and agent.verbose:
+                printer = Printer()
+                printer.print(
+                    content=f"Guardrail {guardrail_index if guardrail_index is not None else ''} blocked (attempt {attempt + 1}/{max_attempts}), retrying due to: {guardrail_result.error}\n",
+                    color="yellow",
+                )
 
             # Regenerate output from agent
             result = agent.execute_task(
@@ -1229,11 +1232,12 @@ Follow these guidelines:
                 guardrail_result_error=guardrail_result.error,
                 task_output=task_output.raw,
             )
-            printer = Printer()
-            printer.print(
-                content=f"Guardrail {guardrail_index if guardrail_index is not None else ''} blocked (attempt {attempt + 1}/{max_attempts}), retrying due to: {guardrail_result.error}\n",
-                color="yellow",
-            )
+            if agent and agent.verbose:
+                printer = Printer()
+                printer.print(
+                    content=f"Guardrail {guardrail_index if guardrail_index is not None else ''} blocked (attempt {attempt + 1}/{max_attempts}), retrying due to: {guardrail_result.error}\n",
+                    color="yellow",
+                )
 
             result = await agent.aexecute_task(
                 task=self,

lib/crewai/src/crewai/tools/tool_usage.py

@@ -384,6 +384,8 @@ class ToolUsage:
                         if (
                             hasattr(available_tool, "max_usage_count")
                             and available_tool.max_usage_count is not None
+                            and self.agent
+                            and self.agent.verbose
                         ):
                             self._printer.print(
                                 content=f"Tool '{sanitize_tool_name(available_tool.name)}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
@@ -396,6 +398,8 @@ class ToolUsage:
                         if (
                             hasattr(available_tool, "max_usage_count")
                             and available_tool.max_usage_count is not None
+                            and self.agent
+                            and self.agent.verbose
                         ):
                             self._printer.print(
                                 content=f"Tool '{sanitize_tool_name(available_tool.name)}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
@@ -610,6 +614,8 @@ class ToolUsage:
                         if (
                             hasattr(available_tool, "max_usage_count")
                             and available_tool.max_usage_count is not None
+                            and self.agent
+                            and self.agent.verbose
                         ):
                             self._printer.print(
                                 content=f"Tool '{sanitize_tool_name(available_tool.name)}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
@@ -622,6 +628,8 @@ class ToolUsage:
                         if (
                             hasattr(available_tool, "max_usage_count")
                             and available_tool.max_usage_count is not None
+                            and self.agent
+                            and self.agent.verbose
                         ):
                             self._printer.print(
                                 content=f"Tool '{sanitize_tool_name(available_tool.name)}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
@@ -884,15 +892,17 @@ class ToolUsage:
         # Attempt 4: Repair JSON
         try:
             repaired_input = str(repair_json(tool_input, skip_json_loads=True))
-            self._printer.print(
-                content=f"Repaired JSON: {repaired_input}", color="blue"
-            )
+            if self.agent and self.agent.verbose:
+                self._printer.print(
+                    content=f"Repaired JSON: {repaired_input}", color="blue"
+                )
             arguments = json.loads(repaired_input)
             if isinstance(arguments, dict):
                 return arguments
         except Exception as e:
             error = f"Failed to repair JSON: {e}"
-            self._printer.print(content=error, color="red")
+            if self.agent and self.agent.verbose:
+                self._printer.print(content=error, color="red")
 
         error_message = (
             "Tool input must be a valid dictionary in JSON or Python literal format"

lib/crewai/src/crewai/utilities/agent_utils.py

@@ -210,6 +210,7 @@ def handle_max_iterations_exceeded(
     messages: list[LLMMessage],
     llm: LLM | BaseLLM,
     callbacks: list[TokenCalcHandler],
+    verbose: bool = True,
 ) -> AgentFinish:
     """Handles the case when the maximum number of iterations is exceeded. Performs one more LLM call to get the final answer.
 
@@ -220,14 +221,16 @@ def handle_max_iterations_exceeded(
         messages: List of messages to send to the LLM.
         llm: The LLM instance to call.
         callbacks: List of callbacks for the LLM call.
+        verbose: Whether to print output.
 
     Returns:
         AgentFinish with the final answer after exceeding max iterations.
     """
-    printer.print(
-        content="Maximum iterations reached. Requesting final answer.",
-        color="yellow",
-    )
+    if verbose:
+        printer.print(
+            content="Maximum iterations reached. Requesting final answer.",
+            color="yellow",
+        )
 
     if formatted_answer and hasattr(formatted_answer, "text"):
         assistant_message = (
@@ -245,10 +248,11 @@ def handle_max_iterations_exceeded(
     )
 
     if answer is None or answer == "":
-        printer.print(
-            content="Received None or empty response from LLM call.",
-            color="red",
-        )
+        if verbose:
+            printer.print(
+                content="Received None or empty response from LLM call.",
+                color="red",
+            )
         raise ValueError("Invalid response from LLM call - None or empty.")
 
     formatted = format_answer(answer=answer)
@@ -322,6 +326,7 @@ def get_llm_response(
     from_agent: Agent | LiteAgent | None = None,
     response_model: type[BaseModel] | None = None,
     executor_context: CrewAgentExecutor | AgentExecutor | LiteAgent | None = None,
+    verbose: bool = True,
 ) -> str | Any:
     """Call the LLM and return the response, handling any invalid responses.
 
@@ -347,7 +352,7 @@ def get_llm_response(
     """
 
     if executor_context is not None:
-        if not _setup_before_llm_call_hooks(executor_context, printer):
+        if not _setup_before_llm_call_hooks(executor_context, printer, verbose=verbose):
             raise ValueError("LLM call blocked by before_llm_call hook")
         messages = executor_context.messages
 
@@ -364,13 +369,16 @@ def get_llm_response(
     except Exception as e:
         raise e
     if not answer:
-        printer.print(
-            content="Received None or empty response from LLM call.",
-            color="red",
-        )
+        if verbose:
+            printer.print(
+                content="Received None or empty response from LLM call.",
+                color="red",
+            )
         raise ValueError("Invalid response from LLM call - None or empty.")
 
-    return _setup_after_llm_call_hooks(executor_context, answer, printer)
+    return _setup_after_llm_call_hooks(
+        executor_context, answer, printer, verbose=verbose
+    )
 
 
 async def aget_llm_response(
@@ -384,6 +392,7 @@ async def aget_llm_response(
     from_agent: Agent | LiteAgent | None = None,
     response_model: type[BaseModel] | None = None,
     executor_context: CrewAgentExecutor | AgentExecutor | None = None,
+    verbose: bool = True,
 ) -> str | Any:
     """Call the LLM asynchronously and return the response.
 
@@ -408,7 +417,7 @@ async def aget_llm_response(
         ValueError: If the response is None or empty.
     """
     if executor_context is not None:
-        if not _setup_before_llm_call_hooks(executor_context, printer):
+        if not _setup_before_llm_call_hooks(executor_context, printer, verbose=verbose):
             raise ValueError("LLM call blocked by before_llm_call hook")
         messages = executor_context.messages
 
@@ -425,13 +434,16 @@ async def aget_llm_response(
     except Exception as e:
         raise e
     if not answer:
-        printer.print(
-            content="Received None or empty response from LLM call.",
-            color="red",
-        )
+        if verbose:
+            printer.print(
+                content="Received None or empty response from LLM call.",
+                color="red",
+            )
         raise ValueError("Invalid response from LLM call - None or empty.")
 
-    return _setup_after_llm_call_hooks(executor_context, answer, printer)
+    return _setup_after_llm_call_hooks(
+        executor_context, answer, printer, verbose=verbose
+    )
 
 
 def process_llm_response(
@@ -498,13 +510,19 @@ def handle_agent_action_core(
     return formatted_answer
 
 
-def handle_unknown_error(printer: Printer, exception: Exception) -> None:
+def handle_unknown_error(
+    printer: Printer, exception: Exception, verbose: bool = True
+) -> None:
     """Handle unknown errors by informing the user.
 
     Args:
         printer: Printer instance for output
         exception: The exception that occurred
+        verbose: Whether to print output.
     """
+    if not verbose:
+        return
+
     error_message = str(exception)
 
     if "litellm" in error_message:
@@ -526,6 +544,7 @@ def handle_output_parser_exception(
     iterations: int,
     log_error_after: int = 3,
     printer: Printer | None = None,
+    verbose: bool = True,
 ) -> AgentAction:
     """Handle OutputParserError by updating messages and formatted_answer.
 
@@ -548,7 +567,7 @@ def handle_output_parser_exception(
         thought="",
     )
 
-    if iterations > log_error_after and printer:
+    if verbose and iterations > log_error_after and printer:
         printer.print(
             content=f"Error parsing LLM output, agent will retry: {e.error}",
             color="red",
@@ -578,6 +597,7 @@ def handle_context_length(
     llm: LLM | BaseLLM,
     callbacks: list[TokenCalcHandler],
     i18n: I18N,
+    verbose: bool = True,
 ) -> None:
     """Handle context length exceeded by either summarizing or raising an error.
 
@@ -593,16 +613,20 @@ def handle_context_length(
         SystemExit: If context length is exceeded and user opts not to summarize
     """
     if respect_context_window:
-        printer.print(
-            content="Context length exceeded. Summarizing content to fit the model context window. Might take a while...",
-            color="yellow",
+        if verbose:
+            printer.print(
+                content="Context length exceeded. Summarizing content to fit the model context window. Might take a while...",
+                color="yellow",
+            )
+        summarize_messages(
+            messages=messages, llm=llm, callbacks=callbacks, i18n=i18n, verbose=verbose
         )
-        summarize_messages(messages=messages, llm=llm, callbacks=callbacks, i18n=i18n)
     else:
-        printer.print(
-            content="Context length exceeded. Consider using smaller text or RAG tools from crewai_tools.",
-            color="red",
-        )
+        if verbose:
+            printer.print(
+                content="Context length exceeded. Consider using smaller text or RAG tools from crewai_tools.",
+                color="red",
+            )
         raise SystemExit(
             "Context length exceeded and user opted not to summarize. Consider using smaller text or RAG tools from crewai_tools."
         )
@@ -613,6 +637,7 @@ def summarize_messages(
     llm: LLM | BaseLLM,
     callbacks: list[TokenCalcHandler],
     i18n: I18N,
+    verbose: bool = True,
 ) -> None:
     """Summarize messages to fit within context window.
 
@@ -644,10 +669,11 @@ def summarize_messages(
 
     total_groups = len(messages_groups)
     for idx, group in enumerate(messages_groups, 1):
-        Printer().print(
-            content=f"Summarizing {idx}/{total_groups}...",
-            color="yellow",
-        )
+        if verbose:
+            Printer().print(
+                content=f"Summarizing {idx}/{total_groups}...",
+                color="yellow",
+            )
 
         summarization_messages = [
             format_message_for_llm(
@@ -905,12 +931,14 @@ def extract_tool_call_info(
 def _setup_before_llm_call_hooks(
     executor_context: CrewAgentExecutor | AgentExecutor | LiteAgent | None,
     printer: Printer,
+    verbose: bool = True,
 ) -> bool:
     """Setup and invoke before_llm_call hooks for the executor context.
 
     Args:
         executor_context: The executor context to setup the hooks for.
         printer: Printer instance for error logging.
+        verbose: Whether to print output.
 
     Returns:
         True if LLM execution should proceed, False if blocked by a hook.
@@ -925,26 +953,29 @@ def _setup_before_llm_call_hooks(
             for hook in executor_context.before_llm_call_hooks:
                 result = hook(hook_context)
                 if result is False:
-                    printer.print(
-                        content="LLM call blocked by before_llm_call hook",
-                        color="yellow",
-                    )
+                    if verbose:
+                        printer.print(
+                            content="LLM call blocked by before_llm_call hook",
+                            color="yellow",
+                        )
                     return False
         except Exception as e:
-            printer.print(
-                content=f"Error in before_llm_call hook: {e}",
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=f"Error in before_llm_call hook: {e}",
+                    color="yellow",
+                )
 
         if not isinstance(executor_context.messages, list):
-            printer.print(
-                content=(
-                    "Warning: before_llm_call hook replaced messages with non-list. "
-                    "Restoring original messages list. Hooks should modify messages in-place, "
-                    "not replace the list (e.g., use context.messages.append() not context.messages = [])."
-                ),
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=(
+                        "Warning: before_llm_call hook replaced messages with non-list. "
+                        "Restoring original messages list. Hooks should modify messages in-place, "
+                        "not replace the list (e.g., use context.messages.append() not context.messages = [])."
+                    ),
+                    color="yellow",
+                )
             if isinstance(original_messages, list):
                 executor_context.messages = original_messages
             else:
@@ -957,6 +988,7 @@ def _setup_after_llm_call_hooks(
     executor_context: CrewAgentExecutor | AgentExecutor | LiteAgent | None,
     answer: str,
     printer: Printer,
+    verbose: bool = True,
 ) -> str:
     """Setup and invoke after_llm_call hooks for the executor context.
 
@@ -964,6 +996,7 @@ def _setup_after_llm_call_hooks(
         executor_context: The executor context to setup the hooks for.
         answer: The LLM response string.
         printer: Printer instance for error logging.
+        verbose: Whether to print output.
 
     Returns:
         The potentially modified response string.
@@ -981,20 +1014,22 @@ def _setup_after_llm_call_hooks(
                     answer = modified_response
 
         except Exception as e:
-            printer.print(
-                content=f"Error in after_llm_call hook: {e}",
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=f"Error in after_llm_call hook: {e}",
+                    color="yellow",
+                )
 
         if not isinstance(executor_context.messages, list):
-            printer.print(
-                content=(
-                    "Warning: after_llm_call hook replaced messages with non-list. "
-                    "Restoring original messages list. Hooks should modify messages in-place, "
-                    "not replace the list (e.g., use context.messages.append() not context.messages = [])."
-                ),
-                color="yellow",
-            )
+            if verbose:
+                printer.print(
+                    content=(
+                        "Warning: after_llm_call hook replaced messages with non-list. "
+                        "Restoring original messages list. Hooks should modify messages in-place, "
+                        "not replace the list (e.g., use context.messages.append() not context.messages = [])."
+                    ),
+                    color="yellow",
+                )
             if isinstance(original_messages, list):
                 executor_context.messages = original_messages
             else:

lib/crewai/src/crewai/utilities/converter.py

@@ -205,10 +205,11 @@ def convert_to_model(
         )
 
     except Exception as e:
-        Printer().print(
-            content=f"Unexpected error during model conversion: {type(e).__name__}: {e}. Returning original result.",
-            color="red",
-        )
+        if agent and getattr(agent, "verbose", True):
+            Printer().print(
+                content=f"Unexpected error during model conversion: {type(e).__name__}: {e}. Returning original result.",
+                color="red",
+            )
         return result
 
 
@@ -262,10 +263,11 @@ def handle_partial_json(
         except ValidationError:
             raise
         except Exception as e:
-            Printer().print(
-                content=f"Unexpected error during partial JSON handling: {type(e).__name__}: {e}. Attempting alternative conversion method.",
-                color="red",
-            )
+            if agent and getattr(agent, "verbose", True):
+                Printer().print(
+                    content=f"Unexpected error during partial JSON handling: {type(e).__name__}: {e}. Attempting alternative conversion method.",
+                    color="red",
+                )
 
     return convert_with_instructions(
         result=result,
@@ -323,10 +325,11 @@ def convert_with_instructions(
     )
 
     if isinstance(exported_result, ConverterError):
-        Printer().print(
-            content=f"Failed to convert result to model: {exported_result}",
-            color="red",
-        )
+        if agent and getattr(agent, "verbose", True):
+            Printer().print(
+                content=f"Failed to convert result to model: {exported_result}",
+                color="red",
+            )
         return result
 
     return exported_result

lib/crewai/tests/agents/test_lite_agent.py

@@ -1004,3 +1004,53 @@ def test_prepare_kickoff_param_files_override_message_files():
 
     assert "files" in inputs
     assert inputs["files"]["same.png"] is param_file  # param takes precedence
+
+
+def test_lite_agent_verbose_false_suppresses_printer_output():
+    """Test that setting verbose=False suppresses all printer output."""
+    from crewai.agents.parser import AgentFinish
+    from crewai.types.usage_metrics import UsageMetrics
+
+    mock_llm = Mock(spec=LLM)
+    mock_llm.call.return_value = "Final Answer: Hello!"
+    mock_llm.stop = []
+    mock_llm.supports_stop_words.return_value = False
+    mock_llm.get_token_usage_summary.return_value = UsageMetrics(
+        total_tokens=100,
+        prompt_tokens=50,
+        completion_tokens=50,
+        cached_prompt_tokens=0,
+        successful_requests=1,
+    )
+
+    with pytest.warns(DeprecationWarning):
+        agent = LiteAgent(
+            role="Test Agent",
+            goal="Test goal",
+            backstory="Test backstory",
+            llm=mock_llm,
+            verbose=False,
+        )
+
+    result = agent.kickoff("Say hello")
+
+    assert result is not None
+    assert isinstance(result, LiteAgentOutput)
+    # Verify the printer was never called
+    agent._printer.print = Mock()
+    # For a clean verification, patch printer before execution
+    with pytest.warns(DeprecationWarning):
+        agent2 = LiteAgent(
+            role="Test Agent",
+            goal="Test goal",
+            backstory="Test backstory",
+            llm=mock_llm,
+            verbose=False,
+        )
+
+    mock_printer = Mock()
+    agent2._printer = mock_printer
+
+    agent2.kickoff("Say hello")
+
+    mock_printer.print.assert_not_called()

lib/crewai/tests/test_crew.py

@@ -2585,6 +2585,7 @@ def test_warning_long_term_memory_without_entity_memory():
         goal="You research about math.",
         backstory="You're an expert in research and you love to learn new things.",
         allow_delegation=False,
+        verbose=True,
     )
 
     task1 = Task(