Nicholas Tindle 6f2783468c feat(classic): add sub-agent architecture and LATS/multi-agent debate strategies ...

Add comprehensive sub-agent spawning infrastructure that enables prompt
strategies to coordinate multiple agents for advanced reasoning patterns.

New files:
- forge/agent/execution_context.py: ExecutionContext, ResourceBudget,
  SubAgentHandle, and AgentFactory protocol for sub-agent lifecycle
- agent_factory/default_factory.py: DefaultAgentFactory implementation
- prompt_strategies/lats.py: Language Agent Tree Search using MCTS
  with sub-agents for action expansion and evaluation
- prompt_strategies/multi_agent_debate.py: Multi-agent debate with
  proposal, critique, and consensus phases

Key changes:
- BaseMultiStepPromptStrategy gains spawn_sub_agent(), run_sub_agent(),
  spawn_and_run(), and run_parallel() methods
- Agent class accepts optional ExecutionContext and injects it into strategies
- Sub-agents enabled by default (enable_sub_agents=True)
- Resource limits: max_depth=5, max_sub_agents=25, max_cycles=25

All 7 strategies now available in benchmark:
one_shot, rewoo, plan_execute, reflexion, tree_of_thoughts, lats, multi_agent_debate

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-20 01:01:28 -06:00

..

components

feat(classic): add sub-agent architecture and LATS/multi-agent debate strategies

2026-01-20 01:01:28 -06:00

__init__.py

feat(classic): add TodoComponent with LLM-powered decomposition

2026-01-18 18:49:48 -06:00

test_permissions.py

fix(classic): approve+feedback now executes command then sends feedback

2026-01-18 22:32:43 -06:00