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5 Commits

Author SHA1 Message Date
Tony Kipkemboi
c12343a8b8 docs: update multimodal agents guide and mint.json configuration 2025-01-15 14:13:37 -05:00
Tony Kipkemboi
835557e648 fix: add multimodal docs path to mint.json 2025-01-15 13:54:32 -05:00
Daniel Barreto
4185ea688f fix: get rid of translation typo (#1880)
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
2025-01-14 14:06:01 -05:00
Brandon Hancock (bhancock_ai)
0532089246 Incorporate y4izus fix (#1893) 2025-01-14 13:35:21 -05:00
Brandon Hancock (bhancock_ai)
24b155015c before kickoff breaks if inputs are none. (#1883)
* before kickoff breaks if inputs are none.

* improve none type

* Fix failing tests

* add tests for new code

* Fix failing test

* drop extra comments

* clean up based on eduardo feedback
2025-01-14 13:24:03 -05:00
8 changed files with 995 additions and 15 deletions

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@@ -1,14 +1,14 @@
---
title: Using Multimodal Agents
description: Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.
icon: image
icon: video
---
# Using Multimodal Agents
## Using Multimodal Agents
CrewAI supports multimodal agents that can process both text and non-text content like images. This guide will show you how to enable and use multimodal capabilities in your agents.
## Enabling Multimodal Capabilities
### Enabling Multimodal Capabilities
To create a multimodal agent, simply set the `multimodal` parameter to `True` when initializing your agent:
@@ -25,7 +25,7 @@ agent = Agent(
When you set `multimodal=True`, the agent is automatically configured with the necessary tools for handling non-text content, including the `AddImageTool`.
## Working with Images
### Working with Images
The multimodal agent comes pre-configured with the `AddImageTool`, which allows it to process images. You don't need to manually add this tool - it's automatically included when you enable multimodal capabilities.
@@ -108,7 +108,7 @@ The multimodal agent will automatically handle the image processing through its
- Process image content with optional context or specific questions
- Provide analysis and insights based on the visual information and task requirements
## Best Practices
### Best Practices
When working with multimodal agents, keep these best practices in mind:

View File

@@ -91,6 +91,7 @@
"how-to/custom-manager-agent",
"how-to/llm-connections",
"how-to/customizing-agents",
"how-to/multimodal-agents",
"how-to/coding-agents",
"how-to/force-tool-output-as-result",
"how-to/human-input-on-execution",

View File

@@ -513,6 +513,8 @@ class Crew(BaseModel):
inputs: Optional[Dict[str, Any]] = None,
) -> CrewOutput:
for before_callback in self.before_kickoff_callbacks:
if inputs is None:
inputs = {}
inputs = before_callback(inputs)
"""Starts the crew to work on its assigned tasks."""
@@ -674,6 +676,7 @@ class Crew(BaseModel):
else:
self.manager_llm = (
getattr(self.manager_llm, "model_name", None)
or getattr(self.manager_llm, "model", None)
or getattr(self.manager_llm, "deployment_name", None)
or self.manager_llm
)

View File

@@ -1,4 +1,5 @@
import inspect
import logging
from pathlib import Path
from typing import Any, Callable, Dict, TypeVar, cast
@@ -7,12 +8,16 @@ from dotenv import load_dotenv
load_dotenv()
logging.basicConfig(level=logging.WARNING)
T = TypeVar("T", bound=type)
"""Base decorator for creating crew classes with configuration and function management."""
def CrewBase(cls: T) -> T:
"""Wraps a class with crew functionality and configuration management."""
class WrappedClass(cls): # type: ignore
is_crew_class: bool = True # type: ignore
@@ -26,16 +31,9 @@ def CrewBase(cls: T) -> T:
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
agents_config_path = self.base_directory / self.original_agents_config_path
tasks_config_path = self.base_directory / self.original_tasks_config_path
self.agents_config = self.load_yaml(agents_config_path)
self.tasks_config = self.load_yaml(tasks_config_path)
self.load_configurations()
self.map_all_agent_variables()
self.map_all_task_variables()
# Preserve all decorated functions
self._original_functions = {
name: method
@@ -51,7 +49,6 @@ def CrewBase(cls: T) -> T:
]
)
}
# Store specific function types
self._original_tasks = self._filter_functions(
self._original_functions, "is_task"
@@ -69,6 +66,44 @@ def CrewBase(cls: T) -> T:
self._original_functions, "is_kickoff"
)
def load_configurations(self):
"""Load agent and task configurations from YAML files."""
if isinstance(self.original_agents_config_path, str):
agents_config_path = (
self.base_directory / self.original_agents_config_path
)
try:
self.agents_config = self.load_yaml(agents_config_path)
except FileNotFoundError:
logging.warning(
f"Agent config file not found at {agents_config_path}. "
"Proceeding with empty agent configurations."
)
self.agents_config = {}
else:
logging.warning(
"No agent configuration path provided. Proceeding with empty agent configurations."
)
self.agents_config = {}
if isinstance(self.original_tasks_config_path, str):
tasks_config_path = (
self.base_directory / self.original_tasks_config_path
)
try:
self.tasks_config = self.load_yaml(tasks_config_path)
except FileNotFoundError:
logging.warning(
f"Task config file not found at {tasks_config_path}. "
"Proceeding with empty task configurations."
)
self.tasks_config = {}
else:
logging.warning(
"No task configuration path provided. Proceeding with empty task configurations."
)
self.tasks_config = {}
@staticmethod
def load_yaml(config_path: Path):
try:

View File

@@ -43,7 +43,7 @@
"ask_question": "Ask a specific question to one of the following coworkers: {coworkers}\nThe input to this tool should be the coworker, the question you have for them, and ALL necessary context to ask the question properly, they know nothing about the question, so share absolute everything you know, don't reference things but instead explain them.",
"add_image": {
"name": "Add image to content",
"description": "See image to understand it's content, you can optionally ask a question about the image",
"description": "See image to understand its content, you can optionally ask a question about the image",
"default_action": "Please provide a detailed description of this image, including all visual elements, context, and any notable details you can observe."
}
}

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interactions:
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@@ -16,6 +16,7 @@ from crewai.crew import Crew
from crewai.crews.crew_output import CrewOutput
from crewai.memory.contextual.contextual_memory import ContextualMemory
from crewai.process import Process
from crewai.project import crew
from crewai.task import Task
from crewai.tasks.conditional_task import ConditionalTask
from crewai.tasks.output_format import OutputFormat
@@ -3474,3 +3475,119 @@ def test_crew_guardrail_feedback_in_context():
# Verify task retry count
assert task.retry_count == 1, "Task should have been retried once"
@pytest.mark.vcr(filter_headers=["authorization"])
def test_before_kickoff_callback():
from crewai.project import CrewBase, agent, before_kickoff, crew, task
@CrewBase
class TestCrewClass:
agents_config = None
tasks_config = None
def __init__(self):
self.inputs_modified = False
@before_kickoff
def modify_inputs(self, inputs):
self.inputs_modified = True
inputs["modified"] = True
return inputs
@agent
def my_agent(self):
return Agent(
role="Test Agent",
goal="Test agent goal",
backstory="Test agent backstory",
)
@task
def my_task(self):
task = Task(
description="Test task description",
expected_output="Test expected output",
agent=self.my_agent(), # Use the agent instance
)
return task
@crew
def crew(self):
return Crew(agents=self.agents, tasks=self.tasks)
test_crew_instance = TestCrewClass()
crew = test_crew_instance.crew()
# Verify that the before_kickoff_callbacks are set
assert len(crew.before_kickoff_callbacks) == 1
# Prepare inputs
inputs = {"initial": True}
# Call kickoff
crew.kickoff(inputs=inputs)
# Check that the before_kickoff function was called and modified inputs
assert test_crew_instance.inputs_modified
assert inputs.get("modified") == True
@pytest.mark.vcr(filter_headers=["authorization"])
def test_before_kickoff_without_inputs():
from crewai.project import CrewBase, agent, before_kickoff, crew, task
@CrewBase
class TestCrewClass:
agents_config = None
tasks_config = None
def __init__(self):
self.inputs_modified = False
self.received_inputs = None
@before_kickoff
def modify_inputs(self, inputs):
self.inputs_modified = True
inputs["modified"] = True
self.received_inputs = inputs
return inputs
@agent
def my_agent(self):
return Agent(
role="Test Agent",
goal="Test agent goal",
backstory="Test agent backstory",
)
@task
def my_task(self):
return Task(
description="Test task description",
expected_output="Test expected output",
agent=self.my_agent(),
)
@crew
def crew(self):
return Crew(agents=self.agents, tasks=self.tasks)
# Instantiate the class
test_crew_instance = TestCrewClass()
# Build the crew
crew = test_crew_instance.crew()
# Verify that the before_kickoff_callback is registered
assert len(crew.before_kickoff_callbacks) == 1
# Call kickoff without passing inputs
output = crew.kickoff()
# Check that the before_kickoff function was called
assert test_crew_instance.inputs_modified
# Verify that the inputs were initialized and modified inside the before_kickoff method
assert test_crew_instance.received_inputs is not None
assert test_crew_instance.received_inputs.get("modified") is True