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cleveragents-core/tests/features/agents_base_coverage.feature

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Feature: Agents Base Module Coverage
As a developer
I want to test all functionality in the agents base module
So that we achieve 90%+ code coverage for the agents/base.py file
Background:
Given I have a clean test environment for agents base
Scenario: Test Agent class initialization
Given I have agent configuration with name and config
And I have a template renderer
When I create an Agent instance
Then the agent should be initialized correctly
And input and output streams should be created
And the processing pipeline should be set up
Scenario: Test Agent message processing with context
Given I have an initialized Agent instance
When I send a message with context to the agent
Then the message should be processed with context
And the output stream should emit the result
Scenario: Test Agent message processing without context
Given I have an initialized Agent instance
When I send a message without context to the agent
Then the message should be processed with empty context
And the output stream should emit the result
Scenario: Test Agent processing error handling
Given I have an Agent instance that raises errors
When I send a message that causes processing error
Then an ExecutionError should be raised
And the error message should contain agent name
Scenario: Test Agent get_capabilities method
Given I have an initialized Agent instance
When I call get_capabilities
Then a list of capabilities should be returned
Scenario: Test Agent get_metadata method
Given I have an initialized Agent instance with model and provider
When I call get_metadata
Then metadata should include name type and capabilities
And metadata should include model and provider if configured
Scenario: Test Agent legacy process method
Given I have an initialized Agent instance
When I call the legacy process method
Then it should delegate to process_message
Scenario: Test Agent subscribe_to_output method
Given I have an initialized Agent instance
And I have an observer
When I subscribe the observer to output
Then the observer should receive output messages
Scenario: Test Agent create_observable method
Given I have an initialized Agent instance
When I create an observable from the agent
Then an observable should be returned
Scenario: Test Agent dispose method
Given I have an initialized Agent instance
When I dispose the agent
Then streams should be disposed properly
Scenario: Test AgentWithMemory initialization
Given I have agent configuration for memory agent
And I have a template renderer
When I create an AgentWithMemory instance
Then the agent should have empty memory
And a memory lock should be created
Scenario: Test AgentWithMemory save_memory
Given I have an AgentWithMemory instance with data
When I save the memory
Then a deep copy of memory should be returned
Scenario: Test AgentWithMemory load_memory success
Given I have an AgentWithMemory instance
When I load valid memory data
Then the memory should be updated
Scenario: Test AgentWithMemory load_memory with invalid data
Given I have an AgentWithMemory instance
When I load non-dict memory data
Then an AgentCreationError should be raised
Scenario: Test AgentWithMemory update_memory
Given I have an AgentWithMemory instance
When I update memory with key and value
Then the memory should be updated asynchronously
And memory lock should be used
Scenario: Test AgentWithMemory get_memory with existing key
Given I have an AgentWithMemory instance with data
When I get memory for existing key
Then the correct value should be returned
Scenario: Test AgentWithMemory get_memory with missing key
Given I have an AgentWithMemory instance
When I get memory for missing key with default
Then the default value should be returned
Scenario: Test AgentWithMemory process wrapper with lock
Given I have an AgentWithMemory instance
When I process a message through the agent
Then memory lock should be acquired during processing
Scenario: Test StreamableAgent as_operator method
Given I have a StreamableAgent instance
When I create an operator from the agent
Then an RxPy operator should be returned
And the operator should process messages through agent
Scenario: Test StreamableAgent map_operator method
Given I have a StreamableAgent instance
When I create a map operator from the agent
Then a map operator should be returned
And the operator should process values asynchronously
Scenario: Test StreamableAgent filter_operator method
Given I have a StreamableAgent instance
And I have a filter condition function
When I create a filter operator from the agent
Then a filter operator should be returned
And the operator should filter based on agent output
Scenario: Test Agent tuple message data handling
Given I have an initialized Agent instance
When I send a tuple message data with context
Then the message and context should be extracted correctly
Scenario: Test Agent non-tuple message data handling
Given I have an initialized Agent instance
When I send non-tuple message data
Then the message should be processed with empty context
Scenario: Test StreamableAgent operator subscription flow
Given I have a StreamableAgent instance
And I have a source observable
When I apply the agent as operator to source
Then the agent should subscribe to source
And output should be forwarded to observer
Scenario: Test StreamableAgent operator error propagation
Given I have a StreamableAgent instance
And I have a source observable that errors
When I apply the agent as operator to source
Then errors should be propagated to observer
Scenario: Test StreamableAgent operator completion
Given I have a StreamableAgent instance
And I have a source observable that completes
When I apply the agent as operator to source
Then completion should be propagated to observer
Scenario: Test StreamableAgent map_operator result handling
Given I have a StreamableAgent instance
When I use map_operator with observable
Then results should be awaited from future
And only first result should be used
Scenario: Test StreamableAgent filter_operator result handling
Given I have a clean test environment for agents base
Given I have a StreamableAgent instance
And I have a condition that returns boolean
When I use filter_operator with observable
Then condition should be applied to agent output
And boolean result should determine filtering
Scenario: Test Agent send_message method directly with RxPy pipeline
Given I have a clean test environment for agents base
Given I have an initialized Agent instance
When I use send_message method with the RxPy pipeline
Then the message should be sent to input stream
And RxPy pipeline should process the message
Scenario: Test Agent actual RxPy pipeline integration
Given I have a clean test environment for agents base
Given I have an initialized Agent instance with working pipeline
When I send a message using the actual RxPy pipeline
Then the pipeline should process the message asynchronously
And the result should be emitted to output stream
Scenario: Test Agent dispose method with actual streams
Given I have a clean test environment for agents base
Given I have an initialized Agent instance
When I dispose the agent with real streams
Then stream dispose methods should be called properly
And resources should be cleaned up
Scenario: Test Agent process_wrapper exception handling
Given I have a clean test environment for agents base
Given I have an Agent instance that throws processing exceptions
When I test the process_wrapper exception handling
Then ExecutionError should be raised with agent name
And original exception should be wrapped
Scenario: Test StreamableAgent operator creation and usage
Given I have a clean test environment for agents base
Given I have a StreamableAgent instance
When I create and test all operator methods
Then as_operator should return functional operator
And map_operator should return functional map operator
And filter_operator should return functional filter operator