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4 Commits
feat/impro
...
devin/1740
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46dfa8577c | ||
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ed1bfe7b6f | ||
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435f372796 | ||
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02c63fbcb9 |
@@ -216,43 +216,10 @@ MODELS = {
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"watsonx/ibm/granite-3-8b-instruct",
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],
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"bedrock": [
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"bedrock/us.amazon.nova-pro-v1:0",
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"bedrock/us.amazon.nova-micro-v1:0",
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"bedrock/us.amazon.nova-lite-v1:0",
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"bedrock/us.anthropic.claude-3-5-sonnet-20240620-v1:0",
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"bedrock/us.anthropic.claude-3-5-haiku-20241022-v1:0",
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"bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0",
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"bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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"bedrock/us.anthropic.claude-3-sonnet-20240229-v1:0",
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"bedrock/us.anthropic.claude-3-opus-20240229-v1:0",
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"bedrock/us.anthropic.claude-3-haiku-20240307-v1:0",
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"bedrock/us.meta.llama3-2-11b-instruct-v1:0",
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"bedrock/us.meta.llama3-2-3b-instruct-v1:0",
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"bedrock/us.meta.llama3-2-90b-instruct-v1:0",
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"bedrock/us.meta.llama3-2-1b-instruct-v1:0",
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"bedrock/us.meta.llama3-1-8b-instruct-v1:0",
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"bedrock/us.meta.llama3-1-70b-instruct-v1:0",
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"bedrock/us.meta.llama3-3-70b-instruct-v1:0",
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"bedrock/us.meta.llama3-1-405b-instruct-v1:0",
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"bedrock/eu.anthropic.claude-3-5-sonnet-20240620-v1:0",
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"bedrock/eu.anthropic.claude-3-sonnet-20240229-v1:0",
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"bedrock/eu.anthropic.claude-3-haiku-20240307-v1:0",
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"bedrock/eu.meta.llama3-2-3b-instruct-v1:0",
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"bedrock/eu.meta.llama3-2-1b-instruct-v1:0",
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"bedrock/apac.anthropic.claude-3-5-sonnet-20240620-v1:0",
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"bedrock/apac.anthropic.claude-3-5-sonnet-20241022-v2:0",
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"bedrock/apac.anthropic.claude-3-sonnet-20240229-v1:0",
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"bedrock/apac.anthropic.claude-3-haiku-20240307-v1:0",
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"bedrock/amazon.nova-pro-v1:0",
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"bedrock/amazon.nova-micro-v1:0",
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"bedrock/amazon.nova-lite-v1:0",
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"bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0",
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"bedrock/anthropic.claude-3-5-haiku-20241022-v1:0",
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"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0",
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"bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0",
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"bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
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"bedrock/anthropic.claude-3-opus-20240229-v1:0",
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"bedrock/anthropic.claude-3-haiku-20240307-v1:0",
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"bedrock/anthropic.claude-3-opus-20240229-v1:0",
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"bedrock/anthropic.claude-v2:1",
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"bedrock/anthropic.claude-v2",
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"bedrock/anthropic.claude-instant-v1",
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@@ -267,6 +234,8 @@ MODELS = {
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"bedrock/ai21.j2-mid-v1",
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"bedrock/ai21.j2-ultra-v1",
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"bedrock/ai21.jamba-instruct-v1:0",
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"bedrock/meta.llama2-13b-chat-v1",
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"bedrock/meta.llama2-70b-chat-v1",
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"bedrock/mistral.mistral-7b-instruct-v0:2",
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"bedrock/mistral.mixtral-8x7b-instruct-v0:1",
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],
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@@ -19,8 +19,6 @@ from typing import (
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Tuple,
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Type,
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Union,
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get_args,
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get_origin,
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)
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from pydantic import (
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@@ -174,29 +172,15 @@ class Task(BaseModel):
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"""
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if v is not None:
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sig = inspect.signature(v)
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positional_args = [
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param
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for param in sig.parameters.values()
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if param.default is inspect.Parameter.empty
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]
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if len(positional_args) != 1:
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if len(sig.parameters) != 1:
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raise ValueError("Guardrail function must accept exactly one parameter")
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# Check return annotation if present, but don't require it
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return_annotation = sig.return_annotation
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if return_annotation != inspect.Signature.empty:
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return_annotation_args = get_args(return_annotation)
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if not (
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get_origin(return_annotation) is tuple
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and len(return_annotation_args) == 2
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and return_annotation_args[0] is bool
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and (
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return_annotation_args[1] is Any
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or return_annotation_args[1] is str
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or return_annotation_args[1] is TaskOutput
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or return_annotation_args[1] == Union[str, TaskOutput]
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)
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return_annotation == Tuple[bool, Any]
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or str(return_annotation) == "Tuple[bool, Any]"
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):
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raise ValueError(
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"If return type is annotated, it must be Tuple[bool, Any]"
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@@ -451,9 +435,9 @@ class Task(BaseModel):
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content = (
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json_output
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if json_output
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else (
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pydantic_output.model_dump_json() if pydantic_output else result
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)
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else pydantic_output.model_dump_json()
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if pydantic_output
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else result
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)
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self._save_file(content)
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crewai_event_bus.emit(self, TaskCompletedEvent(output=task_output))
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@@ -1283,109 +1283,3 @@ def test_interpolate_valid_types():
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assert parsed["optional"] is None
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assert parsed["nested"]["flag"] is True
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assert parsed["nested"]["empty"] is None
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def test_guardrail_with_new_style_annotations():
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"""Test that guardrails with new-style type annotations work correctly."""
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# Define a guardrail with new-style annotation
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def guardrail(result: TaskOutput) -> tuple[bool, str]:
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return (True, result.raw.upper())
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agent = MagicMock()
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agent.role = "test_agent"
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agent.execute_task.return_value = "test result"
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agent.crew = None
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task = Task(description="Test task", expected_output="Output", guardrail=guardrail)
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result = task.execute_sync(agent=agent)
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assert isinstance(result, TaskOutput)
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assert result.raw == "TEST RESULT"
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def test_guardrail_with_specific_return_type():
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"""Test that guardrails with specific return types work correctly."""
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# Define a guardrail with specific return type
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def guardrail(result: TaskOutput) -> tuple[bool, TaskOutput]:
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if "error" in result.raw.lower():
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return (False, "Contains error")
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return (True, result)
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agent = MagicMock()
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agent.role = "test_agent"
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agent.execute_task.return_value = "success result"
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agent.crew = None
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task = Task(description="Test task", expected_output="Output", guardrail=guardrail)
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result = task.execute_sync(agent=agent)
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assert isinstance(result, TaskOutput)
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assert result.raw == "success result"
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def test_guardrail_with_positional_and_default_args():
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"""Test that guardrails with positional and default arguments work correctly."""
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# Define a guardrail with a positional argument and a default argument
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def guardrail(result: TaskOutput, optional_arg=None) -> tuple[bool, str]:
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return (True, result.raw.upper())
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agent = MagicMock()
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agent.role = "test_agent"
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agent.execute_task.return_value = "test result"
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agent.crew = None
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# This should now work with the updated validator
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task = Task(description="Test task", expected_output="Output", guardrail=guardrail)
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result = task.execute_sync(agent=agent)
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assert isinstance(result, TaskOutput)
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assert result.raw == "TEST RESULT"
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def test_guardrail_with_multiple_positional_args():
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"""Test that guardrails with multiple positional arguments are rejected."""
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# Define a guardrail with multiple positional arguments
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def guardrail(result: TaskOutput, another_required_arg) -> tuple[bool, str]:
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return (True, result.raw.upper())
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agent = MagicMock()
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agent.role = "test_agent"
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agent.execute_task.return_value = "test result"
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agent.crew = None
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# This should raise a ValueError because guardrail must accept exactly one positional parameter
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with pytest.raises(ValueError) as excinfo:
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Task(description="Test task", expected_output="Output", guardrail=guardrail)
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assert "Guardrail function must accept exactly one parameter" in str(excinfo.value)
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def test_guardrail_with_positional_and_default_args():
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"""Validate that the guardrail function has the correct signature and behavior.
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While type hints provide static checking, this validator ensures runtime safety by:
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1. Verifying the function accepts exactly one required parameter (the TaskOutput)
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(additional parameters with default values are allowed)
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2. Checking return type annotations match Tuple[bool, Any] or tuple[bool, Any] if present
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3. Providing clear, immediate error messages for debugging
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"""
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# Define a guardrail with a positional argument and a default argument
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def guardrail(result: TaskOutput, optional_arg=None) -> tuple[bool, str]:
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return (True, result.raw.upper())
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agent = MagicMock()
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agent.role = "test_agent"
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agent.execute_task.return_value = "test result"
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agent.crew = None
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# This should now work with the updated validator
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task = Task(description="Test task", expected_output="Output", guardrail=guardrail)
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result = task.execute_sync(agent=agent)
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assert isinstance(result, TaskOutput)
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assert result.raw == "TEST RESULT"
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