Files
crewAI/lib/crewai/src/crewai/utilities/tool_utils.py
Devin AI 90f4021071 feat(tools): allow tools to return File instances for multimodal context
Closes #5758

Tools can now return crewai_files.FileInput instances (or lists/dicts of
them) from their _run method to dynamically extend the agent's
multimodal context. The framework detects file returns, replaces the
raw return with a confirmation message, and attaches the files to the
most recent user message so subsequent LLM calls include them.

- Add extract_files_from_tool_result helper
- Extend ToolResult dataclass with optional files field
- Detect FileInput returns in ToolUsage._use / _ause
- Propagate files through execute_tool_and_check_finality
- Attach files to messages in CrewAgentExecutor (ReAct + native tool flows)
- Mirror file attachment in LiteAgent ReAct loop
- Add comprehensive unit tests
2026-05-09 02:38:28 +00:00

269 lines
10 KiB
Python

from __future__ import annotations
from typing import TYPE_CHECKING
from crewai.agents.parser import AgentAction
from crewai.agents.tools_handler import ToolsHandler
from crewai.hooks.tool_hooks import (
ToolCallHookContext,
get_after_tool_call_hooks,
get_before_tool_call_hooks,
)
from crewai.security.fingerprint import Fingerprint
from crewai.tools.structured_tool import CrewStructuredTool
from crewai.tools.tool_types import ToolResult
from crewai.tools.tool_usage import ToolUsage, ToolUsageError
from crewai.utilities.i18n import I18N_DEFAULT
from crewai.utilities.logger import Logger
from crewai.utilities.string_utils import sanitize_tool_name
if TYPE_CHECKING:
from crewai.agent import Agent
from crewai.agents.agent_builder.base_agent import BaseAgent
from crewai.crew import Crew
from crewai.llm import LLM
from crewai.llms.base_llm import BaseLLM
from crewai.task import Task
async def aexecute_tool_and_check_finality(
agent_action: AgentAction,
tools: list[CrewStructuredTool],
agent_key: str | None = None,
agent_role: str | None = None,
tools_handler: ToolsHandler | None = None,
task: Task | None = None,
agent: Agent | BaseAgent | None = None,
function_calling_llm: BaseLLM | LLM | None = None,
fingerprint_context: dict[str, str] | None = None,
crew: Crew | None = None,
) -> ToolResult:
"""Execute a tool asynchronously and check if the result should be a final answer.
This is the async version of execute_tool_and_check_finality. It integrates tool
hooks for before and after tool execution, allowing programmatic interception
and modification of tool calls.
Args:
agent_action: The action containing the tool to execute.
tools: List of available tools.
agent_key: Optional key for event emission.
agent_role: Optional role for event emission.
tools_handler: Optional tools handler for tool execution.
task: Optional task for tool execution.
agent: Optional agent instance for tool execution.
function_calling_llm: Optional LLM for function calling.
fingerprint_context: Optional context for fingerprinting.
crew: Optional crew instance for hook context.
Returns:
ToolResult containing the execution result and whether it should be
treated as a final answer.
"""
logger = Logger(verbose=crew.verbose if crew else False)
tool_name_to_tool_map = {sanitize_tool_name(tool.name): tool for tool in tools}
if agent_key and agent_role and agent:
fingerprint_context = fingerprint_context or {}
if agent:
if hasattr(agent, "set_fingerprint") and callable(agent.set_fingerprint):
if isinstance(fingerprint_context, dict):
try:
fingerprint_obj = Fingerprint.from_dict(fingerprint_context)
agent.set_fingerprint(fingerprint=fingerprint_obj)
except Exception as e:
raise ValueError(f"Failed to set fingerprint: {e}") from e
tool_usage = ToolUsage(
tools_handler=tools_handler,
tools=tools,
function_calling_llm=function_calling_llm, # type: ignore[arg-type]
task=task,
agent=agent,
action=agent_action,
)
tool_calling = tool_usage.parse_tool_calling(agent_action.text)
if isinstance(tool_calling, ToolUsageError):
return ToolResult(tool_calling.message, False)
sanitized_tool_name = sanitize_tool_name(tool_calling.tool_name)
tool = tool_name_to_tool_map.get(sanitized_tool_name)
if tool:
tool_input = tool_calling.arguments if tool_calling.arguments else {}
hook_context = ToolCallHookContext(
tool_name=sanitized_tool_name,
tool_input=tool_input,
tool=tool,
agent=agent,
task=task,
crew=crew,
)
before_hooks = get_before_tool_call_hooks()
try:
for hook in before_hooks:
result = hook(hook_context)
if result is False:
blocked_message = (
f"Tool execution blocked by hook. "
f"Tool: {tool_calling.tool_name}"
)
return ToolResult(blocked_message, False)
except Exception as e:
logger.log("error", f"Error in before_tool_call hook: {e}")
tool_result = await tool_usage.ause(tool_calling, agent_action.text)
extracted_files = tool_usage._last_extracted_files
after_hook_context = ToolCallHookContext(
tool_name=sanitized_tool_name,
tool_input=tool_input,
tool=tool,
agent=agent,
task=task,
crew=crew,
tool_result=tool_result,
)
after_hooks = get_after_tool_call_hooks()
modified_result: str = tool_result
try:
for after_hook in after_hooks:
hook_result = after_hook(after_hook_context)
if hook_result is not None:
modified_result = hook_result
after_hook_context.tool_result = modified_result
except Exception as e:
logger.log("error", f"Error in after_tool_call hook: {e}")
return ToolResult(modified_result, tool.result_as_answer, files=extracted_files)
tool_result = I18N_DEFAULT.errors("wrong_tool_name").format(
tool=sanitized_tool_name,
tools=", ".join(tool_name_to_tool_map.keys()),
)
return ToolResult(result=tool_result, result_as_answer=False)
def execute_tool_and_check_finality(
agent_action: AgentAction,
tools: list[CrewStructuredTool],
agent_key: str | None = None,
agent_role: str | None = None,
tools_handler: ToolsHandler | None = None,
task: Task | None = None,
agent: Agent | BaseAgent | None = None,
function_calling_llm: BaseLLM | LLM | None = None,
fingerprint_context: dict[str, str] | None = None,
crew: Crew | None = None,
) -> ToolResult:
"""Execute a tool and check if the result should be treated as a final answer.
This function integrates tool hooks for before and after tool execution,
allowing programmatic interception and modification of tool calls.
Args:
agent_action: The action containing the tool to execute
tools: List of available tools
agent_key: Optional key for event emission
agent_role: Optional role for event emission
tools_handler: Optional tools handler for tool execution
task: Optional task for tool execution
agent: Optional agent instance for tool execution
function_calling_llm: Optional LLM for function calling
fingerprint_context: Optional context for fingerprinting
crew: Optional crew instance for hook context
Returns:
ToolResult containing the execution result and whether it should be treated as a final answer
"""
logger = Logger(verbose=crew.verbose if crew else False)
tool_name_to_tool_map = {sanitize_tool_name(tool.name): tool for tool in tools}
if agent_key and agent_role and agent:
fingerprint_context = fingerprint_context or {}
if agent:
if hasattr(agent, "set_fingerprint") and callable(agent.set_fingerprint):
if isinstance(fingerprint_context, dict):
try:
fingerprint_obj = Fingerprint.from_dict(fingerprint_context)
agent.set_fingerprint(fingerprint=fingerprint_obj)
except Exception as e:
raise ValueError(f"Failed to set fingerprint: {e}") from e
tool_usage = ToolUsage(
tools_handler=tools_handler,
tools=tools,
function_calling_llm=function_calling_llm, # type: ignore[arg-type]
task=task,
agent=agent,
action=agent_action,
)
tool_calling = tool_usage.parse_tool_calling(agent_action.text)
if isinstance(tool_calling, ToolUsageError):
return ToolResult(tool_calling.message, False)
sanitized_tool_name = sanitize_tool_name(tool_calling.tool_name)
tool = tool_name_to_tool_map.get(sanitized_tool_name)
if tool:
tool_input = tool_calling.arguments if tool_calling.arguments else {}
hook_context = ToolCallHookContext(
tool_name=sanitized_tool_name,
tool_input=tool_input,
tool=tool,
agent=agent,
task=task,
crew=crew,
)
before_hooks = get_before_tool_call_hooks()
try:
for hook in before_hooks:
result = hook(hook_context)
if result is False:
blocked_message = (
f"Tool execution blocked by hook. "
f"Tool: {tool_calling.tool_name}"
)
return ToolResult(blocked_message, False)
except Exception as e:
logger.log("error", f"Error in before_tool_call hook: {e}")
tool_result = tool_usage.use(tool_calling, agent_action.text)
extracted_files = tool_usage._last_extracted_files
after_hook_context = ToolCallHookContext(
tool_name=sanitized_tool_name,
tool_input=tool_input,
tool=tool,
agent=agent,
task=task,
crew=crew,
tool_result=tool_result,
)
# Execute after_tool_call hooks
after_hooks = get_after_tool_call_hooks()
modified_result: str = tool_result
try:
for after_hook in after_hooks:
hook_result = after_hook(after_hook_context)
if hook_result is not None:
modified_result = hook_result
after_hook_context.tool_result = modified_result
except Exception as e:
logger.log("error", f"Error in after_tool_call hook: {e}")
return ToolResult(modified_result, tool.result_as_answer, files=extracted_files)
tool_result = I18N_DEFAULT.errors("wrong_tool_name").format(
tool=sanitized_tool_name,
tools=", ".join(tool_name_to_tool_map.keys()),
)
return ToolResult(result=tool_result, result_as_answer=False)