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Code Issues Actions 4 Packages Projects Releases Wiki Activity

improving tool usage for crewai enterprise tools

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This commit is contained in:
João Moura
2025-06-01 09:48:06 -07:00
parent 6ecb30ee87
commit efebcd9734
2 changed files with 124 additions and 43 deletions
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36
src/crewai/tools/structured_tool.py
View File

@@ -197,6 +197,42 @@ class CrewStructuredTool:
validated_args = self.args_schema.model_validate(raw_args)
return validated_args.model_dump()
except Exception as e:
# Check if this is a "Field required" error and try to fix it
error_str = str(e)
if "Field required" in error_str:
# Try to parse missing fields from the error
import re
from pydantic import ValidationError
if isinstance(e, ValidationError):
# Extract missing fields from validation error
missing_fields = []
for error_detail in e.errors():
if error_detail.get('type') == 'missing':
field_path = error_detail.get('loc', ())
if field_path:
missing_fields.append(field_path[0])
if missing_fields:
# Create a copy of raw_args and add missing fields with None
fixed_args = dict(raw_args) if isinstance(raw_args, dict) else {}
for field in missing_fields:
if field not in fixed_args:
fixed_args[field] = None
# Try validation again with fixed args
try:
self._logger.log("debug", f"Auto-fixing missing fields: {missing_fields}")
validated_args = self.args_schema.model_validate(fixed_args)
return validated_args.model_dump()
except Exception as retry_e:
# If it still fails, raise the original error with additional context
raise ValueError(
f"Arguments validation failed: {e}\n"
f"Attempted to auto-fix missing fields {missing_fields} but still failed: {retry_e}"
)
# For other validation errors, raise as before
raise ValueError(f"Arguments validation failed: {e}")
async def ainvoke(

131
src/crewai/tools/tool_usage.py
View File

@@ -180,7 +180,7 @@ class ToolUsage:
event_data.update(self.agent.fingerprint)
crewai_event_bus.emit(self,ToolUsageStartedEvent(**event_data))
started_at = time.time()
from_cache = False
result = None # type: ignore
@@ -250,9 +250,54 @@ class ToolUsage:
self._run_attempts += 1
if self._run_attempts > self._max_parsing_attempts:
self._telemetry.tool_usage_error(llm=self.function_calling_llm)
error_message = self._i18n.errors("tool_usage_exception").format(
error=e, tool=tool.name, tool_inputs=tool.description
)
# Check if this is a validation error with missing fields
error_str = str(e)
if "Arguments validation failed" in error_str and "Field required" in error_str:
# Extract the field name that's missing
import re
field_match = re.search(r'(\w+)\s*Field required', error_str)
if field_match:
missing_field = field_match.group(1)
# Create a more helpful error message
error_message = (
f"Tool validation error: The '{missing_field}' parameter is required but was not provided.\n\n"
f"SOLUTION: Include ALL parameters in your tool call, even optional ones (use null for optional parameters):\n"
f'{{"tool_name": "{tool.name}", "arguments": {{'
)
# Get all expected parameters from the tool schema
if hasattr(tool, 'args_schema'):
schema_props = tool.args_schema.model_json_schema().get('properties', {})
param_examples = []
for param_name, param_info in schema_props.items():
if param_name == missing_field:
param_examples.append(f'"{param_name}": "YOUR_VALUE_HERE"')
else:
# Check if it's optional by looking at required fields
is_required = param_name in tool.args_schema.model_json_schema().get('required', [])
if not is_required:
param_examples.append(f'"{param_name}": null')
else:
param_examples.append(f'"{param_name}": "value"')
error_message += ', '.join(param_examples)
error_message += '}}\n\n'
error_message += f"Original error: {e}\n"
error_message += f"Tool description: {tool.description}"
else:
# Use the original error message
error_message = self._i18n.errors("tool_usage_exception").format(
error=e, tool=tool.name, tool_inputs=tool.description
)
else:
# Use the original error message for non-validation errors
error_message = self._i18n.errors("tool_usage_exception").format(
error=e, tool=tool.name, tool_inputs=tool.description
)
error = ToolUsageErrorException(
f"\n{error_message}.\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
).message
@@ -281,45 +326,45 @@ class ToolUsage:
self.tools_handler.on_tool_use(
calling=calling, output=result, should_cache=should_cache
)
self._telemetry.tool_usage(
llm=self.function_calling_llm,
tool_name=tool.name,
attempts=self._run_attempts,
)
result = self._format_result(result=result) # type: ignore # "_format_result" of "ToolUsage" does not return a value (it only ever returns None)
data = {
"result": result,
"tool_name": tool.name,
"tool_args": calling.arguments,
}
self._telemetry.tool_usage(
llm=self.function_calling_llm,
tool_name=tool.name,
attempts=self._run_attempts,
)
result = self._format_result(result=result) # type: ignore # "_format_result" of "ToolUsage" does not return a value (it only ever returns None)
data = {
"result": result,
"tool_name": tool.name,
"tool_args": calling.arguments,
}
self.on_tool_use_finished(
tool=tool,
tool_calling=calling,
from_cache=from_cache,
started_at=started_at,
result=result,
)
self.on_tool_use_finished(
tool=tool,
tool_calling=calling,
from_cache=from_cache,
started_at=started_at,
result=result,
)
if (
hasattr(available_tool, "result_as_answer")
and available_tool.result_as_answer # type: ignore # Item "None" of "Any | None" has no attribute "cache_function"
):
result_as_answer = available_tool.result_as_answer # type: ignore # Item "None" of "Any | None" has no attribute "result_as_answer"
data["result_as_answer"] = result_as_answer # type: ignore
if (
hasattr(available_tool, "result_as_answer")
and available_tool.result_as_answer # type: ignore # Item "None" of "Any | None" has no attribute "cache_function"
):
result_as_answer = available_tool.result_as_answer # type: ignore # Item "None" of "Any | None" has no attribute "result_as_answer"
data["result_as_answer"] = result_as_answer # type: ignore
if self.agent and hasattr(self.agent, "tools_results"):
self.agent.tools_results.append(data)
if self.agent and hasattr(self.agent, "tools_results"):
self.agent.tools_results.append(data)
if available_tool and hasattr(available_tool, 'current_usage_count'):
available_tool.current_usage_count += 1
if hasattr(available_tool, 'max_usage_count') and available_tool.max_usage_count is not None:
self._printer.print(
content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
color="blue"
)
if available_tool and hasattr(available_tool, 'current_usage_count'):
available_tool.current_usage_count += 1
if hasattr(available_tool, 'max_usage_count') and available_tool.max_usage_count is not None:
self._printer.print(
content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
color="blue"
)
return result
return result
def _format_result(self, result: Any) -> str:
if self.task:
@@ -350,20 +395,20 @@ class ToolUsage:
calling.arguments == last_tool_usage.arguments
)
return False
def _check_usage_limit(self, tool: Any, tool_name: str) -> str | None:
"""Check if tool has reached its usage limit.
Args:
tool: The tool to check
tool_name: The name of the tool (used for error message)
Returns:
Error message if limit reached, None otherwise
"""
if (
hasattr(tool, 'max_usage_count')
and tool.max_usage_count is not None
hasattr(tool, 'max_usage_count')
and tool.max_usage_count is not None
and tool.current_usage_count >= tool.max_usage_count
):
return f"Tool '{tool_name}' has reached its usage limit of {tool.max_usage_count} times and cannot be used anymore."