vv-agent 0.7.0

VectorVein agent runtime, SDK, CLI, tools, and workspace backends
Documentation 
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use crate::budget::{BudgetUsageSnapshot, RunBudgetLimits};
use crate::runtime::checkpoint_resume::CheckpointController;
use crate::runtime::CancellationToken;
use crate::types::{AgentResult, AgentTask, CycleRecord, Message, Metadata};

use super::super::{execute_cycle_loop, execute_cycle_loop_with_state, failed_backend_result};
use super::backend::DistributedBackend;
use super::r#loop::DistributedRunContext;

impl DistributedBackend {
    pub fn execute<F>(
        &self,
        task: &AgentTask,
        initial_messages: Vec<Message>,
        shared_state: Metadata,
        cycle_executor: F,
        cancellation_token: Option<&CancellationToken>,
        max_cycles: u32,
    ) -> AgentResult
    where
        F: FnMut(
            u32,
            &mut Vec<Message>,
            &mut Vec<CycleRecord>,
            &mut Metadata,
            Option<&CancellationToken>,
        ) -> Option<AgentResult>,
    {
        match (
            &self.runtime_recipe,
            &self.state_store,
            &self.cycle_dispatcher,
        ) {
            (Some(recipe), Some(state_store), Some(cycle_dispatcher)) => {
                return self.execute_distributed(
                    initial_messages,
                    shared_state,
                    DistributedRunContext {
                        task,
                        recipe,
                        state_store,
                        cycle_dispatcher,
                        cancellation_token,
                        max_cycles,
                        budget_limits: None,
                        initial_budget_usage: None,
                    },
                );
            }
            (Some(_), _, _) => {
                return failed_backend_result(
                    initial_messages,
                    Vec::new(),
                    shared_state,
                    "Distributed backend requires a state_store and cycle_dispatcher".to_string(),
                );
            }
            (None, _, _) => {}
        }
        execute_cycle_loop(
            initial_messages,
            shared_state,
            cycle_executor,
            cancellation_token,
            max_cycles,
        )
    }

    #[allow(clippy::too_many_arguments)]
    pub(crate) fn execute_with_state<F>(
        &self,
        task: &AgentTask,
        initial_messages: Vec<Message>,
        initial_cycles: Vec<CycleRecord>,
        shared_state: Metadata,
        cycle_executor: F,
        cancellation_token: Option<&CancellationToken>,
        cycle_index_start: u32,
        cycle_count: u32,
        budget_limits: Option<RunBudgetLimits>,
        initial_budget_usage: Option<BudgetUsageSnapshot>,
        checkpoint_controller: Option<CheckpointController>,
    ) -> AgentResult
    where
        F: FnMut(
            u32,
            &mut Vec<Message>,
            &mut Vec<CycleRecord>,
            &mut Metadata,
            Option<&CancellationToken>,
        ) -> Option<AgentResult>,
    {
        if self.runtime_recipe.is_some()
            && checkpoint_controller.is_none()
            && (!initial_cycles.is_empty() || cycle_index_start != 1)
        {
            return failed_backend_result(
                initial_messages,
                initial_cycles,
                shared_state,
                "Checkpoint resume cannot recursively dispatch a distributed backend".to_string(),
            );
        }
        if self.runtime_recipe.is_some() {
            if let Some(checkpoint_controller) = checkpoint_controller {
                return self.execute_distributed_v2(
                    task,
                    cycle_index_start,
                    cycle_count,
                    budget_limits,
                    cancellation_token,
                    checkpoint_controller,
                );
            }
            return match (
                &self.runtime_recipe,
                &self.state_store,
                &self.cycle_dispatcher,
            ) {
                (Some(recipe), Some(state_store), Some(cycle_dispatcher)) => self
                    .execute_distributed(
                        initial_messages,
                        shared_state,
                        DistributedRunContext {
                            task,
                            recipe,
                            state_store,
                            cycle_dispatcher,
                            cancellation_token,
                            max_cycles: cycle_count,
                            budget_limits,
                            initial_budget_usage,
                        },
                    ),
                _ => failed_backend_result(
                    initial_messages,
                    initial_cycles,
                    shared_state,
                    "Distributed backend requires a state_store and cycle_dispatcher".to_string(),
                ),
            };
        }
        execute_cycle_loop_with_state(
            initial_messages,
            initial_cycles,
            shared_state,
            cycle_executor,
            cancellation_token,
            cycle_index_start,
            cycle_count,
        )
    }
}