Requirements

• I have added test coverage for new or changed functionality
• I have followed the repository's pull request submission guidelines
• I have validated my changes against all supported platform versions

Describe the solution you've provided

This pull requests implements the following functionality:

• Adds preliminary support for "Agent Graph" objects within the LaunchDarkly SDK, fetched by their configuration key

ai_client.agent_graph(config_key, context_value) -> AgentGraphDefinition

• Adds the AgentGraphDefinition class which allows traversal of a graph through traverse and reverse_traverse methods:

    def handle_traversal(node: AIAgentConfig, ctx: Dict[str, Agent]):
        node_config = node.get_config() # Returns an AIAgentConfig
        node_edges = node.get_edges() # Returns Edge[]
        
        handoffs = [ctx[edge.target_config] for edge in node_edges] # Specific to OpenAI implementation
        
        return Agent(
            name=node_config.key,
            instructions=node_config.instructions,
            handoffs=handoffs,
            tools=[],
        )

    root = graph.reverse_traverse(fn=handle_traversal)

Describe alternatives you've considered

This is the implementation of a new feature within LaunchDarkly. There weren't alternatives considered as this is the initial implementation and offering regarding this feature.

Additional context

This PR will be followed up with other PRs introducing:

• A layer for instrumenting framework-specific implementations of this graph method that will provide easier entry-points for specific frameworks
• Framework-specific implementations