refactor: move TargetResponse to targets.TargetResponse for better or…

…ganization

docs/reference/target_response.md

@@ -1 +1 @@
-::: src.agenteval.target_response
+::: src.agenteval.targets.target_response

docs/targets/custom_targets.md

@@ -2,11 +2,10 @@
 
 If you want to test an agent that is not natively supported, you can bring your own Target by defining a Python module containing a subclass of [BaseTarget](../reference/base_target.md#src.agenteval.targets.base_target.BaseTarget). The name of this module must contain the suffix `_target` (e.g. `my_custom_target`).
 
-The subclass should implement the `invoke` method to invoke your agent and return a [TargetResponse](../reference/target_response.md#src.agenteval.target_response.TargetResponse).
+The subclass should implement the `invoke` method to invoke your agent and return a [TargetResponse](../reference/target_response.md#src.agenteval.targets.target_response.TargetResponse).
 
 ```python title="my_custom_target.py"
-from agenteval.targets import BaseTarget
-from agenteval import TargetResponse
+from agenteval.targets import BaseTarget, TargetResponse
 from my_agent import MyAgent
 
 class MyCustomTarget(BaseTarget):
@@ -49,8 +48,7 @@ We will implement a custom Target that invokes an agent exposed as a REST API.
 
     import requests
 
-    from agenteval.targets import BaseTarget
-    from agenteval import TargetResponse
+    from agenteval.targets import BaseTarget, TargetResponse
 
 
     class MyAPITarget(BaseTarget):
@@ -98,8 +96,7 @@ We will create a simple [LangChain](https://python.langchain.com/docs/modules/ag
     from langchain import hub
     from langchain.agents import AgentExecutor, create_xml_agent
 
-    from agenteval.targets import BaseTarget
-    from agenteval import TargetResponse
+    from agenteval.targets import BaseTarget, TargetResponse
 
     llm = Bedrock(model_id="anthropic.claude-v2:1")
 

src/agenteval/__init__.py

@@ -10,9 +10,8 @@
 from rich.logging import RichHandler
 
 from .hook import Hook
-from .target_response import TargetResponse
 
-__all__ = ["Hook", "TargetResponse"]
+__all__ = ["Hook"]
 __version__ = version("agent-evaluation")
 
 

src/agenteval/targets/__init__.py

@@ -1,8 +1,9 @@
 # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+from .target_response import TargetResponse
 from .base_target import BaseTarget
 from .boto3_target import Boto3Target
 from .target_factory import TargetFactory
 
-__all__ = ["BaseTarget", "TargetFactory", "Boto3Target"]
+__all__ = ["TargetResponse", "BaseTarget", "TargetFactory", "Boto3Target"]

src/agenteval/targets/base_target.py

@@ -5,7 +5,7 @@
 
 from abc import ABC, abstractmethod
 
-from agenteval import TargetResponse
+from agenteval.targets import TargetResponse
 
 
 class BaseTarget(ABC):

src/agenteval/targets/bedrock_agent/target.py

@@ -3,8 +3,7 @@
 
 import uuid
 
-from agenteval import TargetResponse
-from agenteval.targets import Boto3Target
+from agenteval.targets import Boto3Target, TargetResponse
 
 _SERVICE_NAME = "bedrock-agent-runtime"
 

src/agenteval/targets/bedrock_knowledge_base/target.py

@@ -1,8 +1,7 @@
 # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 # SPDX-License-Identifier: Apache-2.0
 
-from agenteval import TargetResponse
-from agenteval.targets import Boto3Target
+from agenteval.targets import Boto3Target, TargetResponse
 
 _SERVICE_NAME = "bedrock-agent-runtime"
 

src/agenteval/targets/q_business/target.py

@@ -3,8 +3,7 @@
 
 from typing import Optional
 
-from agenteval import TargetResponse
-from agenteval.targets import Boto3Target
+from agenteval.targets import Boto3Target, TargetResponse
 
 _SERVICE_NAME = "qbusiness"
 

src/agenteval/targets/sagemaker_endpoint/target.py

@@ -6,8 +6,7 @@
 
 from jsonpath_ng import parse
 
-from agenteval import TargetResponse
-from agenteval.targets import Boto3Target
+from agenteval.targets import Boto3Target, TargetResponse
 
 _SERVICE_NAME = "sagemaker-runtime"
 _CONTENT_TYPE = "application/json"