feat(operator): add agent testing functionality with endpoint

[Praveenk8051]

• Extended the AgentSpecification
• Added an endpoint field to handle the URL of the deployed agent.
• Enhanced the OperatorToolBox
• Added a test method to parse and handle conversational input.
• Implemented logic to find the appropriate specification, verify access, and run a sample test.

# Example usage
async def main():
    # Initialize OperatorToolBox with AgentSpecification
    spec = AgentSpecification(
        name="GPT-4",
        version="4.0",
        description="A powerful language model",
        capabilities=["text-generation", "question-answering"],
        configuration={"max_tokens": 100},
    )

    toolbox = OperatorToolBox(spec=spec, datasets=["dataset1", "dataset2", "dataset3"])

    # Description and sample test payload
    description = "Test my openAI compatible agent deployed at http://localhost:3000"
    sample_test = {
        "prompt": "Hello, how are you?",
        "max_tokens": 5
    }

    # Run the test
    result = await toolbox.test(description, sample_test)
    print(result)

# Run the example
asyncio.run(main())